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You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------|
| Alexandrite |
| Opal |
| Diamond |
| Amethyst |
| Zircon |
| Pearl |
| Garnet |
| Aquamarine |
| Sapphire |
| Emerald |
| Tanzanite |
| Citrine |
| Ruby |
| Topaz |
| Turquoise |
| Peridot |
| Tourmaline |
Input Table 2:
| Col_1 |
|:----------|
| June |
| October |
| December |
| May |
| September |
| March |
| July |
| January |
| February |
| April |
| August |
| November |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case11", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case11", "case": "Case11", "label": [["Garnet", "January"], ["Amethyst", "February"], ["Aquamarine", "March"], ["Diamond", "April"], ["Emerald", "May"], ["Pearl", "June"], ["Alexandrite", "June"], ["Ruby", "July"], ["Peridot", "August"], ["Sapphire", "September"], ["Tourmaline", "October"], ["Opal", "October"], ["Topaz", "November"], ["Citrine", "November"], ["Tanzanite", "December"], ["Zircon", "December"], ["Turquoise", "December"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case11_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case11_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------|
| Larry Page |
| David Koch |
| Amancio Ortega |
| Charles Koch |
| Carlos Slim Helu |
| Warren Buffett |
| Jeff Bezos |
| Stefan Persson |
| Larry Ellison |
| Li Ka-shing |
| Jim Walton |
| Christy Walton |
| S. Robson Walton |
| Michael Bloomberg |
| Liliane Bettencourt |
| Sheldon Adelson |
| Alice Walton |
| Bernard Arnault |
| Bill Gates |
| Sergey Brin |
Input Table 2:
| Col_1 |
|:--------------|
| Sweden |
| Hong Kong |
| United States |
| Mexico |
| France |
| Spain |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case36", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case36", "case": "Case36", "label": [["Bill Gates", "United States"], ["Carlos Slim Helu", "Mexico"], ["Amancio Ortega", "Spain"], ["Warren Buffett", "United States"], ["Larry Ellison", "United States"], ["Charles Koch", "United States"], ["David Koch", "United States"], ["Sheldon Adelson", "United States"], ["Christy Walton", "United States"], ["Jim Walton", "United States"], ["Liliane Bettencourt", "France"], ["Stefan Persson", "Sweden"], ["Alice Walton", "United States"], ["S. Robson Walton", "United States"], ["Bernard Arnault", "France"], ["Michael Bloomberg", "United States"], ["Larry Page", "United States"], ["Jeff Bezos", "United States"], ["Sergey Brin", "United States"], ["Li Ka-shing", "Hong Kong"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case36_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case36_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------|
| State Grid Corporation of China |
| Walmart |
| Royal Dutch Shell |
| Volkswagen |
| Sinopec |
| Toyota |
| Glencore |
| ExxonMobil |
| China National Petroleum Corporation |
| BP |
Input Table 2:
| Col_1 |
|:------------|
| Retail |
| Commodities |
| Automobiles |
| Petroleum |
| Power |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case17", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case17", "case": "Case17", "label": [["Walmart", "Retail"], ["Royal Dutch Shell", "Petroleum"], ["Sinopec", "Petroleum"], ["China National Petroleum Corporation", "Petroleum"], ["ExxonMobil", "Petroleum"], ["BP", "Petroleum"], ["State Grid Corporation of China", "Power"], ["Volkswagen", "Automobiles"], ["Toyota", "Automobiles"], ["Glencore", "Commodities"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case17_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case17_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------|
| Sony |
| Google |
| Dell |
| Toshiba |
| HP |
| Hitachi |
| Apple Inc. |
| Intel |
| Samsung Electronics |
| LG Electronics |
| IBM |
| Amazon.com |
| Panasonic |
| Microsoft |
| Foxconn |
Input Table 2:
| Col_1 |
|:-----------------------|
| Mountain View, CA, USA |
| Palo Alto, CA, USA |
| Tokyo, Japan |
| Osaka, Japan |
| Redmond, WA, USA |
| Seoul, South Korea |
| Austin, TX, USA |
| Santa Clara, CA, USA |
| New Taipei, Taiwan |
| Armonk, NY, USA |
| Cupertino, CA, USA |
| Seattle, WA, USA |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case18", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case18", "case": "Case18", "label": [["Samsung Electronics", "Seoul, South Korea"], ["Apple Inc.", "Cupertino, CA, USA"], ["Foxconn", "New Taipei, Taiwan"], ["HP", "Palo Alto, CA, USA"], ["IBM", "Armonk, NY, USA"], ["Hitachi", "Tokyo, Japan"], ["Microsoft", "Redmond, WA, USA"], ["Amazon.com", "Seattle, WA, USA"], ["Sony", "Tokyo, Japan"], ["Panasonic", "Osaka, Japan"], ["Google", "Mountain View, CA, USA"], ["Dell", "Austin, TX, USA"], ["Toshiba", "Tokyo, Japan"], ["LG Electronics", "Seoul, South Korea"], ["Intel", "Santa Clara, CA, USA"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case18_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case18_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------|
| State Grid Corporation of China |
| Walmart |
| Royal Dutch Shell |
| Volkswagen |
| Sinopec |
| Toyota |
| Glencore |
| ExxonMobil |
| China National Petroleum Corporation |
| BP |
Input Table 2:
| Col_1 |
|:---------------|
| Netherlands |
| United States |
| China |
| Japan |
| United Kingdom |
| Switzerland |
| Germany |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case16", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case16", "case": "Case16", "label": [["Walmart", "United States"], ["Royal Dutch Shell", "Netherlands"], ["Sinopec", "China"], ["China National Petroleum Corporation", "China"], ["ExxonMobil", "United States"], ["BP", "United Kingdom"], ["State Grid Corporation of China", "China"], ["Volkswagen", "Germany"], ["Toyota", "Japan"], ["Glencore", "Switzerland"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case16_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case16_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------------------|
| Michael Jackson's This Is It |
| All the King's Men |
| To Sir, with Love |
| Guess Who's Coming to Dinner |
| Taxi Driver |
| Close Encounters of the Third Kind |
| Ghostbusters |
| The Karate Kid |
| Spider-Man |
| Men in Black |
| Bad Boys |
| James Bond series |
| The Ten Commandments |
| Vertigo |
| Rosemary's Baby |
| The Odd Couple |
| The Godfather |
| The Bad News Bears |
| Saturday Night Fever |
| Beverly Hills Cop |
| Star Trek |
| Top Gun |
| Ghost |
| Braveheart |
| Mission: Impossible |
| Indiana Jones |
| Forrest Gump |
| Saving Private Ryan |
| Transformers |
| Friday The 13th |
| Noah |
| Bright Eyes |
| Son of Fury |
| Home in Indiana |
| Journey to the Center of the Earth |
| The Sound of Music |
| Fantastic Voyage |
| Star Wars |
| X-Men |
| Die Hard |
| Alien |
| Planet of the Apes |
| Home Alone |
| Predator |
| Speed |
| Independence Day |
| Avatar |
| The Simpsons Movie |
| The Wolf Man |
| The Mummy |
| Spartacus |
| Airport |
| Jaws |
| The Blues Brothers |
| The Deer Hunter |
| Rollercoaster |
| Back to the Future |
| Field of Dreams |
| Backdraft |
| Beethoven |
| Dr. Giggles |
| Jurassic Park |
| Meet the Parents |
| The Bourne Identity |
| The Sting |
| E.T. |
| Schindler's List |
| Dracula |
| Oblivion |
| Rush |
Input Table 2:
| Col_1 |
|:-------------------|
| Columbia Pictures |
| Eon Productions |
| Paramount Pictures |
| 20th Century Fox |
| Universal Studios |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case22", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case22", "case": "Case22", "label": [["Michael Jackson's This Is It", "Columbia Pictures"], ["All the King's Men", "Columbia Pictures"], ["To Sir, with Love", "Columbia Pictures"], ["Guess Who's Coming to Dinner", "Columbia Pictures"], ["Taxi Driver", "Columbia Pictures"], ["Close Encounters of the Third Kind", "Columbia Pictures"], ["Ghostbusters", "Columbia Pictures"], ["The Karate Kid", "Columbia Pictures"], ["Spider-Man", "Columbia Pictures"], ["Men in Black", "Columbia Pictures"], ["Bad Boys", "Columbia Pictures"], ["James Bond series", "Eon Productions"], ["The Ten Commandments", "Paramount Pictures"], ["Vertigo", "Paramount Pictures"], ["Rosemary's Baby", "Paramount Pictures"], ["The Odd Couple", "Paramount Pictures"], ["The Godfather", "Paramount Pictures"], ["The Bad News Bears", "Paramount Pictures"], ["Saturday Night Fever", "Paramount Pictures"], ["Beverly Hills Cop", "Paramount Pictures"], ["Star Trek", "Paramount Pictures"], ["Top Gun", "Paramount Pictures"], ["Ghost", "Paramount Pictures"], ["Braveheart", "Paramount Pictures"], ["Mission: Impossible", "Paramount Pictures"], ["Indiana Jones", "Paramount Pictures"], ["Forrest Gump", "Paramount Pictures"], ["Saving Private Ryan", "Paramount Pictures"], ["Transformers", "Paramount Pictures"], ["Friday The 13th", "Paramount Pictures"], ["Noah", "Paramount Pictures"], ["Bright Eyes", "20th Century Fox"], ["Son of Fury", "20th Century Fox"], ["Home in Indiana", "20th Century Fox"], ["Journey to the Center of the Earth", "20th Century Fox"], ["The Sound of Music", "20th Century Fox"], ["Fantastic Voyage", "20th Century Fox"], ["Star Wars", "20th Century Fox"], ["X-Men", "20th Century Fox"], ["Die Hard", "20th Century Fox"], ["Alien", "20th Century Fox"], ["Planet of the Apes", "20th Century Fox"], ["Home Alone", "20th Century Fox"], ["Predator", "20th Century Fox"], ["Speed", "20th Century Fox"], ["Independence Day", "20th Century Fox"], ["Avatar", "20th Century Fox"], ["The Simpsons Movie", "20th Century Fox"], ["The Wolf Man", "Universal Studios"], ["The Mummy", "Universal Studios"], ["Spartacus", "Universal Studios"], ["Airport", "Universal Studios"], ["Jaws", "Universal Studios"], ["The Blues Brothers", "Universal Studios"], ["The Deer Hunter", "Universal Studios"], ["Rollercoaster", "Universal Studios"], ["Back to the Future", "Universal Studios"], ["Field of Dreams", "Universal Studios"], ["Backdraft", "Universal Studios"], ["Beethoven", "Universal Studios"], ["Dr. Giggles", "Universal Studios"], ["Jurassic Park", "Universal Studios"], ["Meet the Parents", "Universal Studios"], ["The Bourne Identity", "Universal Studios"], ["The Sting", "Universal Studios"], ["E.T.", "Universal Studios"], ["Schindler's List", "Universal Studios"], ["Dracula", "Universal Studios"], ["Oblivion", "Universal Studios"], ["Rush", "Universal Studios"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case22_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case22_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------|
| Parnate |
| Nardil |
| Marplan |
| Anafranil |
| Elavil |
| Norpramin |
| Pamelor |
| Sinequan |
| Surmontil |
| Celexa |
| Lexapro |
| Luvox |
| Paxil |
| Prozac |
| Zoloft |
| Cymbalta |
| Effexor |
| Remeron |
| Wellbutrin |
| Desyrel |
Input Table 2:
| Col_1 |
|:----------------|
| tranylcypromine |
| phenelzine |
| isocarboxazid |
| clomipramine |
| amitriptyline |
| desipramine |
| nortriptyline |
| doxepin |
| trimipramine |
| citalopram |
| escitalopram |
| fluvoxamine |
| paroxetine |
| fluoxetine |
| sertraline |
| duloxetine |
| venlafaxine |
| mirtazapine |
| bupropion |
| trazodone |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case2", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case2", "case": "Case2", "label": [["Parnate", "tranylcypromine"], ["Nardil", "phenelzine"], ["Marplan", "isocarboxazid"], ["Anafranil", "clomipramine"], ["Elavil", "amitriptyline"], ["Norpramin", "desipramine"], ["Pamelor", "nortriptyline"], ["Sinequan", "doxepin"], ["Surmontil", "trimipramine"], ["Celexa", "citalopram"], ["Lexapro", "escitalopram"], ["Luvox", "fluvoxamine"], ["Paxil", "paroxetine"], ["Prozac", "fluoxetine"], ["Zoloft", "sertraline"], ["Cymbalta", "duloxetine"], ["Effexor", "venlafaxine"], ["Remeron", "mirtazapine"], ["Wellbutrin", "bupropion"], ["Desyrel", "trazodone"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case2_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case2_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------------------|
| Mario Kart 7 |
| New Super Mario Bros. 2 |
| Monster Hunter 3 Ultimate |
| Kid Icarus: Uprising |
| Dragon Warrior VII |
| The Legend of Zelda: Ocarina of Time 3D |
| Nintendogs + Cats |
| Luigi's Mansion: Dark Moon |
| Super Mario 3D Land |
| Mario Tennis Open |
| Animal Crossing: New Leaf |
| Paper Mario: Sticker Star |
| Super Street Fighter IV: 3D Edition |
Input Table 2:
| Col_1 |
|:------------|
| Nintendo |
| Square Enix |
| Capcom |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case27", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case27", "case": "Case27", "label": [["Super Mario 3D Land", "Nintendo"], ["Mario Kart 7", "Nintendo"], ["New Super Mario Bros. 2", "Nintendo"], ["Animal Crossing: New Leaf", "Nintendo"], ["Nintendogs + Cats", "Nintendo"], ["The Legend of Zelda: Ocarina of Time 3D", "Nintendo"], ["Paper Mario: Sticker Star", "Nintendo"], ["Monster Hunter 3 Ultimate", "Capcom"], ["Luigi's Mansion: Dark Moon", "Nintendo"], ["Dragon Warrior VII", "Square Enix"], ["Kid Icarus: Uprising", "Nintendo"], ["Mario Tennis Open", "Nintendo"], ["Super Street Fighter IV: 3D Edition", "Capcom"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case27_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case27_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------------------------------|
| Saving Private Ryan |
| Schindler's List |
| City of God |
| One Flew Over the Cuckoo's Nest |
| The Dark Knight |
| The Silence of the Lambs |
| Casablanca |
| 12 Angry Men |
| Life Is Beautiful |
| The Lord of the Rings: The Return of the King |
| The Godfather |
| The Godfather: Part II |
| The Lord of the Rings: The Two Towers |
| Raiders of the Lost Ark |
| Pulp Fiction |
| Fight Club |
| Once Upon a Time in the West |
| American History X |
| Goodfellas |
| The Usual Suspects |
| Psycho |
| Star Wars: Episode IV - A New Hope |
| The Matrix |
| It's a Wonderful Life |
| Se7en |
| Forrest Gump |
| The Lord of the Rings: The Fellowship of the Ring |
| Léon: The Professional |
| Seven Samurai |
| Star Wars: Episode V - The Empire Strikes Back |
| The Good, the Bad and the Ugly |
| Inception |
Input Table 2:
| Col_1 |
|--------:|
| 2010 |
| 1954 |
| 1998 |
| 1975 |
| 1997 |
| 2008 |
| 1974 |
| 1995 |
| 1972 |
| 1994 |
| 1993 |
| 2003 |
| 2002 |
| 1991 |
| 1957 |
| 1999 |
| 1977 |
| 2001 |
| 1990 |
| 1942 |
| 1960 |
| 1981 |
| 1980 |
| 1946 |
| 1968 |
| 1966 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case21", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case21", "case": "Case21", "label": [["The Godfather", 1972], ["Fight Club", 1999], ["The Lord of the Rings: The Fellowship of the Ring", 2001], ["Star Wars: Episode V - The Empire Strikes Back", 1980], ["Inception", 2010], ["Forrest Gump", 1994], ["One Flew Over the Cuckoo's Nest", 1975], ["The Lord of the Rings: The Two Towers", 2002], ["Goodfellas", 1990], ["The Matrix", 1999], ["Star Wars: Episode IV - A New Hope", 1977], ["Seven Samurai", 1954], ["City of God", 2002], ["Se7en", 1995], ["The Usual Suspects", 1995], ["The Silence of the Lambs", 1991], ["It's a Wonderful Life", 1946], ["Once Upon a Time in the West", 1968], ["L\u00e9on: The Professional", 1994], ["Life Is Beautiful", 1997], ["Casablanca", 1942], ["The Godfather: Part II", 1974], ["Raiders of the Lost Ark", 1981], ["American History X", 1998], ["Psycho", 1960], ["Saving Private Ryan", 1998], ["The Dark Knight", 2008], ["Pulp Fiction", 1994], ["The Good, the Bad and the Ugly", 1966], ["Schindler's List", 1993], ["12 Angry Men", 1957], ["The Lord of the Rings: The Return of the King", 2003]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case21_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case21_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Memphis Grizzlies |
| Los Angeles Clippers |
| San Antonio Spurs |
| Boston Celtics |
| Utah Jazz |
| Milwaukee Bucks |
| Charlotte Bobcats |
| Los Angeles Lakers |
| Sacramento Kings |
| Indiana Pacers |
| Oklahoma City Thunder |
| Philadelphia 76ers |
| Portland Trail Blazers |
| Miami Heat |
| Brooklyn Nets |
| New York Knicks |
| Golden State Warriors |
| Minnesota Timberwolves |
| Toronto Raptors |
| Atlanta Hawks |
| Houston Rockets |
| Detroit Pistons |
| Dallas Mavericks |
| Denver Nuggets |
| Cleveland Cavaliers |
| Chicago Bulls |
| New Orleans Hornets |
| Washington Wizards |
| Phoenix Suns |
| Orlando Magic |
Input Table 2:
| Col_1 |
|:----------|
| Southwest |
| Northwest |
| Pacific |
| Central |
| Southeast |
| Atlantic |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case30", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case30", "case": "Case30", "label": [["Boston Celtics", "Atlantic"], ["Brooklyn Nets", "Atlantic"], ["New York Knicks", "Atlantic"], ["Philadelphia 76ers", "Atlantic"], ["Toronto Raptors", "Atlantic"], ["Chicago Bulls", "Central"], ["Cleveland Cavaliers", "Central"], ["Detroit Pistons", "Central"], ["Indiana Pacers", "Central"], ["Milwaukee Bucks", "Central"], ["Atlanta Hawks", "Southeast"], ["Charlotte Bobcats", "Southeast"], ["Miami Heat", "Southeast"], ["Orlando Magic", "Southeast"], ["Washington Wizards", "Southeast"], ["Dallas Mavericks", "Southwest"], ["Houston Rockets", "Southwest"], ["Memphis Grizzlies", "Southwest"], ["New Orleans Hornets", "Southwest"], ["San Antonio Spurs", "Southwest"], ["Denver Nuggets", "Northwest"], ["Minnesota Timberwolves", "Northwest"], ["Portland Trail Blazers", "Northwest"], ["Oklahoma City Thunder", "Northwest"], ["Utah Jazz", "Northwest"], ["Golden State Warriors", "Pacific"], ["Los Angeles Clippers", "Pacific"], ["Los Angeles Lakers", "Pacific"], ["Phoenix Suns", "Pacific"], ["Sacramento Kings", "Pacific"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case30_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case30_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Memphis Grizzlies |
| Los Angeles Clippers |
| San Antonio Spurs |
| Boston Celtics |
| Utah Jazz |
| Milwaukee Bucks |
| Charlotte Bobcats |
| Los Angeles Lakers |
| Sacramento Kings |
| Indiana Pacers |
| Oklahoma City Thunder |
| Philadelphia 76ers |
| Portland Trail Blazers |
| Miami Heat |
| Brooklyn Nets |
| New York Knicks |
| Golden State Warriors |
| Minnesota Timberwolves |
| Toronto Raptors |
| Atlanta Hawks |
| Houston Rockets |
| Detroit Pistons |
| Dallas Mavericks |
| Denver Nuggets |
| Cleveland Cavaliers |
| Chicago Bulls |
| New Orleans Hornets |
| Washington Wizards |
| Phoenix Suns |
| Orlando Magic |
Input Table 2:
| Col_1 |
|:---------------------------|
| AT&T Center |
| Barclays Center |
| American Airlines Center |
| US Airways Center |
| TD Garden |
| Amway Center |
| Oracle Arena |
| The Palace of Auburn Hills |
| Sleep Train Arena |
| Verizon Center |
| United Center |
| Staples Center |
| Bankers Life Fieldhouse |
| Rose Garden |
| Time Warner Cable Arena |
| Philips Arena |
| New Orleans Arena |
| EnergySolutions Arena |
| Target Center |
| Quicken Loans Arena |
| Toyota Center |
| Madison Square Garden |
| FedExForum |
| Chesapeake Energy Arena |
| Air Canada Center |
| American Airlines Arena |
| Pepsi Center |
| BMO Harris Bradley Center |
| Wells Fargo Center |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case31", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case31", "case": "Case31", "label": [["Boston Celtics", "TD Garden"], ["Brooklyn Nets", "Barclays Center"], ["New York Knicks", "Madison Square Garden"], ["Philadelphia 76ers", "Wells Fargo Center"], ["Toronto Raptors", "Air Canada Center"], ["Chicago Bulls", "United Center"], ["Cleveland Cavaliers", "Quicken Loans Arena"], ["Detroit Pistons", "The Palace of Auburn Hills"], ["Indiana Pacers", "Bankers Life Fieldhouse"], ["Milwaukee Bucks", "BMO Harris Bradley Center"], ["Atlanta Hawks", "Philips Arena"], ["Charlotte Bobcats", "Time Warner Cable Arena"], ["Miami Heat", "American Airlines Arena"], ["Orlando Magic", "Amway Center"], ["Washington Wizards", "Verizon Center"], ["Dallas Mavericks", "American Airlines Center"], ["Houston Rockets", "Toyota Center"], ["Memphis Grizzlies", "FedExForum"], ["New Orleans Hornets", "New Orleans Arena"], ["San Antonio Spurs", "AT&T Center"], ["Denver Nuggets", "Pepsi Center"], ["Minnesota Timberwolves", "Target Center"], ["Portland Trail Blazers", "Rose Garden"], ["Oklahoma City Thunder", "Chesapeake Energy Arena"], ["Utah Jazz", "EnergySolutions Arena"], ["Golden State Warriors", "Oracle Arena"], ["Los Angeles Clippers", "Staples Center"], ["Los Angeles Lakers", "Staples Center"], ["Phoenix Suns", "US Airways Center"], ["Sacramento Kings", "Sleep Train Arena"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case31_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case31_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------|
| Benin |
| Paraguay |
| Portugal |
| Syria |
| Bahamas |
| Greece |
| Mongolia |
| Morocco |
| Guatemala |
| Guyana |
| Czechoslovakia |
| Iraq |
| Chile |
| Nepal |
| Argentina |
| Seychelles |
| Tanzania |
| Belize |
| Ghana |
| Zambia |
| Bahrain |
| Congo |
| India |
| Canada |
| Maldives |
| Turkey |
| Belgium |
| Finland |
| Taiwan |
| Jamaica |
| Peru |
| Germany |
| Fiji |
| Guinea |
| Chad |
| Somalia |
| Thailand |
| Sweden |
| Vietnam |
| Malawi |
| Andorra |
| Poland |
| Bulgaria |
| Jordan |
| Kuwait |
| Tunisia |
| Uruguay |
| Kenya |
| Switzerland |
| Spain |
| Brunei |
| Djibouti |
| Lebanon |
| Cuba |
| Venezuela |
| Mauritania |
| Israel |
| Australia |
| Cameroon |
| Malaysia |
| Iceland |
| Oman |
| Gabon |
| Austria |
| Luxembourg |
| Brazil |
| Algeria |
| Slovenia |
| Ecuador |
| Hungary |
| Japan |
| Mauritius |
| Columbia |
| Senegal |
| Honduras |
| Italy |
| Ethiopia |
| Haiti |
| Afghanistan |
| Singapore |
| Egypt |
| Bolivia |
| Malta |
| Netherlands |
| Pakistan |
| Gambia |
| China |
| Ireland |
| Qatar |
| France |
| Serbia |
| Romania |
| Togo |
| Niger |
| Philippines |
| Barbados |
| Nicaragua |
| Norway |
| Denmark |
| Mexico |
| Uganda |
| Zimbabwe |
| Suriname |
| Montenegro |
| Indonesia |
Input Table 2:
| Col_1 |
|:------------|
| ouguiya |
| euro |
| krona |
| shekel |
| krone |
| dirham |
| dinar |
| guarani |
| cedi |
| rupiah |
| dollar |
| gourde |
| rupee |
| pound |
| lempira |
| ringgit |
| kwacha |
| boliviano |
| franc |
| forint |
| lev |
| tugrik |
| leu |
| lira |
| yen |
| guilder |
| peso |
| baht |
| riyal-omani |
| dalasi |
| birr |
| real |
| inti |
| zloty |
| dong |
| Krona |
| bolivar |
| shilling |
| rufiyaa |
| afghani |
| yuan |
| koruna |
| riyal |
| cordoba |
| quetzal |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case23", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case23", "case": "Case23", "label": [["Mauritania", "ouguiya"], ["China", "yuan"], ["Afghanistan", "afghani"], ["Algeria", "dinar"], ["Andorra", "euro"], ["Argentina", "peso"], ["Australia", "dollar"], ["Austria", "euro"], ["Bahamas", "dollar"], ["Barbados", "dollar"], ["Belgium", "euro"], ["Belize", "dollar"], ["Benin", "franc"], ["Bolivia", "boliviano"], ["Brazil", "real"], ["Brunei", "dollar"], ["Bulgaria", "lev"], ["Cameroon", "franc"], ["Canada", "dollar"], ["Chad", "franc"], ["Chile", "peso"], ["Columbia", "peso"], ["Congo", "franc"], ["Cuba", "peso"], ["Czechoslovakia", "koruna"], ["Denmark", "krone"], ["Djibouti", "franc"], ["Ecuador", "dollar"], ["Egypt", "pound"], ["Ethiopia", "birr"], ["Fiji", "dollar"], ["Finland", "euro"], ["France", "euro"], ["Gabon", "franc"], ["Gambia", "dalasi"], ["Germany", "euro"], ["Ghana", "cedi"], ["Greece", "euro"], ["Guatemala", "quetzal"], ["Guinea", "franc"], ["Guyana", "dollar"], ["Haiti", "gourde"], ["Honduras", "lempira"], ["Hungary", "forint"], ["Iceland", "Krona"], ["India", "rupee"], ["Indonesia", "rupiah"], ["Ireland", "euro"], ["Israel", "shekel"], ["Italy", "euro"], ["Jamaica", "dollar"], ["Japan", "yen"], ["Kenya", "shilling"], ["Lebanon", "pound"], ["Luxembourg", "euro"], ["Malawi", "kwacha"], ["Malaysia", "ringgit"], ["Maldives", "rufiyaa"], ["Malta", "euro"], ["Mauritius", "rupee"], ["Mexico", "peso"], ["Mongolia", "tugrik"], ["Montenegro", "euro"], ["Morocco", "dirham"], ["Nepal", "rupee"], ["Netherlands", "euro"], ["Nicaragua", "cordoba"], ["Niger", "franc"], ["Norway", "krone"], ["Pakistan", "rupee"], ["Paraguay", "guarani"], ["Peru", "inti"], ["Philippines", "peso"], ["Poland", "zloty"], ["Portugal", "euro"], ["Qatar", "riyal"], ["Romania", "leu"], ["Senegal", "franc"], ["Serbia", "dinar"], ["Seychelles", "rupee"], ["Singapore", "dollar"], ["Slovenia", "euro"], ["Somalia", "shilling"], ["Spain", "euro"], ["Suriname", "guilder"], ["Sweden", "krona"], ["Switzerland", "franc"], ["Syria", "pound"], ["Taiwan", "dollar"], ["Tanzania", "shilling"], ["Thailand", "baht"], ["Togo", "franc"], ["Turkey", "lira"], ["Uganda", "shilling"], ["Uruguay", "peso"], ["Venezuela", "bolivar"], ["Vietnam", "dong"], ["Zambia", "kwacha"], ["Zimbabwe", "dollar"], ["Bahrain", "dinar"], ["Iraq", "dinar"], ["Jordan", "dinar"], ["Kuwait", "dinar"], ["Oman", "riyal-omani"], ["Tunisia", "dinar"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case23_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case23_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------|
| Afghanistan |
| Bhutan |
| Singapore |
| Sri Lanka |
| Sikkim |
| England |
| Malaysia |
| India |
| Bangladesh |
| Maldives |
| Iran |
| Kashmir |
| China |
| Nepal |
Input Table 2:
| Col_1 |
|:-----------------|
| Tudor rose |
| Shapla |
| Orchid |
| Blue poppy |
| Pink Rose |
| Peony |
| Tulip |
| Chinese hibiscus |
| Noble orchid |
| Water lily |
| Lotus |
| Rhododendron |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case42", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case42", "case": "Case42", "label": [["England", "Tudor rose"], ["Nepal", "Rhododendron"], ["Sikkim", "Noble orchid"], ["Sri Lanka", "Water lily"], ["Afghanistan", "Tulip"], ["Bangladesh", "Shapla"], ["Bhutan", "Blue poppy"], ["China", "Peony"], ["India", "Lotus"], ["Iran", "Tulip"], ["Kashmir", "Rhododendron"], ["Maldives", "Pink Rose"], ["Malaysia", "Chinese hibiscus"], ["Singapore", "Orchid"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case42_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case42_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------------|
| FREEPORT-MCMORAN COP&GOLD |
| HEALTH CARE REIT INC |
| EATON CORP PLC |
| TIME WARNER INC |
| BOEING CO |
| GAMCO INVESTORS INC |
| VERIFONE SYSTEMS INC |
| PFIZER INC |
| HAIN CELESTIAL GROUP INC |
| DISCOVERY COMMUNICATIONS INC |
| TRW AUTOMOTIVE HOLDINGS CORP |
| SIRIUS XM HOLDINGS INC |
| HONEYWELL INTERNATIONAL INC |
| SCHLUMBERGER LTD |
| AMERICAN EXPRESS CO |
| LINKEDIN CORP |
| SOLERA HOLDINGS INC |
| GENERAL ELECTRIC CO |
| QUALCOMM INC |
| CUMULUS MEDIA INC |
| TJX COMPANIES INC |
| DISNEY (WALT) CO |
| EXXON MOBIL CORP |
| WYNN RESORTS LTD |
| AT&T INC |
| MARATHON OIL CORP |
| AMERIPRISE FINANCIAL INC |
| CHEVRON CORP |
| TRIPADVISOR INC |
| FORD MOTOR CO |
| YAHOO INC |
| T-MOBILE US INC |
| ABBOTT LABORATORIES |
| HALLIBURTON CO |
| UNITED TECHNOLOGIES CORP |
| SLM CORP -SPN |
| PANDORA MEDIA INC |
| SPECTRUM BRANDS HOLDINGS INC |
| TENET HEALTHCARE CORP |
| VIACOM INC |
| GAP INC |
| SPRINT CORP |
| NABORS INDUSTRIES LTD |
| NUANCE COMMUNICATIONS INC |
| ORACLE CORP |
| ZYNGA INC |
| CISCO SYSTEMS INC |
| CVS CAREMARK CORP |
| WELLS FARGO & CO |
| DISCOVER FINANCIAL SVCS INC |
| JARDEN CORP |
| NIELSEN HOLDINGS NV |
| MDC PARTNERS INC |
| CELGENE CORP |
| UNITED THERAPEUTICS CORP |
| COCA-COLA CO |
| DOW CHEMICAL |
| MCKESSON CORP |
| MOBILE MINI INC |
| COMPUTER SCIENCES CORP |
| ALTRIA GROUP INC |
| RALPH LAUREN CORP |
| REGENERON PHARMACEUTICALS |
| BRISTOL-MYERS SQUIBB CO |
| COMCAST CORP |
| CBS CORP |
| LOWE'S COMPANIES INC |
| CONOCOPHILLIPS |
| AFFILIATED MANAGERS GRP INC |
| AVAGO TECHNOLOGIES LTD |
| ROPER INDUSTRIES INC |
| VISA INC |
| PHILLIPS 66 |
| LAUDER (ESTEE) COS INC |
| DANAHER CORP |
| CHIPOTLE MEXICAN GRILL INC |
| GENERAL DYNAMICS CORP |
| TRANSDIGM GROUP INC |
| HASBRO INC |
| HELEN OF TROY LTD |
| FLEETCOR TECHNOLOGIES INC |
| AETNA INC |
| CHENIERE ENERGY INC |
| SANDRIDGE ENERGY INC |
| SALESFORCE.COM INC |
| PARKER-HANNIFIN CORP |
| EMERSON ELECTRIC CO |
| REALOGY HOLDINGS CORP |
| CHESAPEAKE ENERGY CORP |
| ENDURANCE SPECIALTY HOLDINGS |
| GOODYEAR TIRE & RUBBER CO |
| OFFICE DEPOT INC |
| RESTORATION HARDWARE HLDNGS |
| STARZ |
| LOCKHEED MARTIN CORP |
| GOLDMAN SACHS GROUP INC |
| EVEREST RE GROUP LTD |
| DEERE & CO |
| BOSTON PROPERTIES INC |
| GENERAL GROWTH PPTYS INC |
Input Table 2:
| Col_1 |
|:---------------------------------|
| Jeffrey Weiner |
| Charles W. Scharf |
| Leslie Moonves |
| J. S. Watson |
| Greg C. Garland |
| Clarence P. Cazalot Jr. |
| Hock E. Tan |
| Brian McAndrews |
| David W. Nelms |
| Erik Olsson |
| Mario J. Gabelli |
| Don A. Mattrick |
| David J. Lesar |
| Richard C. Adkerson |
| James E. Meyer |
| George L. Chapman |
| Phebe N. Novakovic |
| Brian L. Roberts |
| Paul E. Jacobs |
| Stephen Kaufer |
| Paul A. Ricci |
| Ralph Lauren |
| Marillyn A. Hewson |
| Muhtar Kent |
| Fabrizio Freda |
| Gerald J. Rubin |
| Samuel R. Allen |
| Miles S. Nadal |
| Robert A. Niblock |
| Donald E. Washkewicz |
| W. James McNerney Jr. |
| Miles D. White |
| Philippe P. Dauman |
| Gary Friedman |
| Richard A. Smith |
| John H. Hammergren |
| R. W. Tillerson |
| Glenn Murphy |
| R. Stephenson |
| W. Nicholas Howley |
| Marc Benioff |
| Lloyd C. Blankfein |
| Ronald F. Clarke |
| David M. Cote |
| D. N. Farr |
| Trevor Fetter |
| Tom L. Ward |
| Carol Meyrowitz |
| Charif Souki |
| Jeffrey R. Immelt |
| Jeffrey L. Bewkes |
| Martine A. Rothblatt |
| Mortimer B. Zuckerman |
| H. Lawrence Culp Jr. |
| Daniel R. Hesse |
| Leonard S. Schleifer M.D., Ph.D. |
| Louis Ch?nevert |
| Roland Smith |
| Sandeep Mathrani |
| Marissa A. Mayer |
| Irwin D. Simon |
| John J. Legere |
| Brian Goldner |
| John T. Chambers |
| J. Michael Lawrie |
| Lamberto Andreotti |
| Stephen A. Wynn |
| Anthony G. Petrello |
| Paul Galant |
| Andrew N. Liveris |
| John G. Stumpf |
| James E. Lillie |
| David Calhoun |
| Sean M. Healey |
| K. I. Chenault |
| Robert D. (?Doug?) Lawler |
| Richard J. Kramer |
| James M. Cracchiolo |
| David M. Zaslav |
| Brian D. Jellison |
| Tony Aquila |
| Alan Mulally |
| A. M. Cutler |
| Lewis W. Dickey Jr. |
| John R. Charman |
| Mark Bertolini |
| R. M. Lance |
| Joseph V. Taranto |
| Robert J. Hugin |
| Steve Ells |
| David R. Lumley |
| P. Kibsgaard |
| John C. Plant |
| Robert A. Iger |
| Albert L. Lord |
| Larry J. Merlo |
| Christopher P. Albrecht |
| Martin J. Barrington |
| Lawrence J. Ellison |
| I. Read |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case19", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case19", "case": "Case19", "label": [["CHENIERE ENERGY INC", "Charif Souki"], ["GAMCO INVESTORS INC", "Mario J. Gabelli"], ["ORACLE CORP", "Lawrence J. Ellison"], ["SANDRIDGE ENERGY INC", "Tom L. Ward"], ["NABORS INDUSTRIES LTD", "Anthony G. Petrello"], ["CBS CORP", "Leslie Moonves"], ["TRANSDIGM GROUP INC", "W. Nicholas Howley"], ["ZYNGA INC", "Don A. Mattrick"], ["FREEPORT-MCMORAN COP&GOLD", "Richard C. Adkerson"], ["MCKESSON CORP", "John H. Hammergren"], ["SPRINT CORP", "Daniel R. Hesse"], ["LINKEDIN CORP", "Jeffrey Weiner"], ["ENDURANCE SPECIALTY HOLDINGS", "John R. Charman"], ["HELEN OF TROY LTD", "Gerald J. Rubin"], ["TRIPADVISOR INC", "Stephen Kaufer"], ["UNITED THERAPEUTICS CORP", "Martine A. Rothblatt"], ["VIACOM INC", "Philippe P. Dauman"], ["RESTORATION HARDWARE HLDNGS", "Gary Friedman"], ["REGENERON PHARMACEUTICALS", "Leonard S. Schleifer M.D., Ph.D."], ["DISNEY (WALT) CO", "Robert A. Iger"], ["DISCOVERY COMMUNICATIONS INC", "David M. Zaslav"], ["FLEETCOR TECHNOLOGIES INC", "Ronald F. Clarke"], ["TIME WARNER INC", "Jeffrey L. Bewkes"], ["AVAGO TECHNOLOGIES LTD", "Hock E. Tan"], ["LAUDER (ESTEE) COS INC", "Fabrizio Freda"], ["COMCAST CORP", "Brian L. Roberts"], ["SALESFORCE.COM INC", "Marc Benioff"], ["CVS CAREMARK CORP", "Larry J. Merlo"], ["AETNA INC", "Mark Bertolini"], ["STARZ", "Christopher P. Albrecht"], ["SOLERA HOLDINGS INC", "Tony Aquila"], ["T-MOBILE US INC", "John J. Legere"], ["NUANCE COMMUNICATIONS INC", "Paul A. Ricci"], ["PANDORA MEDIA INC", "Brian McAndrews"], ["EXXON MOBIL CORP", "R. W. Tillerson"], ["PARKER-HANNIFIN CORP", "Donald E. Washkewicz"], ["HASBRO INC", "Brian Goldner"], ["HAIN CELESTIAL GROUP INC", "Irwin D. Simon"], ["RALPH LAUREN CORP", "Ralph Lauren"], ["HONEYWELL INTERNATIONAL INC", "David M. Cote"], ["EMERSON ELECTRIC CO", "D. N. Farr"], ["LOCKHEED MARTIN CORP", "Marillyn A. Hewson"], ["CHIPOTLE MEXICAN GRILL INC", "Steve Ells"], ["YAHOO INC", "Marissa A. Mayer"], ["TRW AUTOMOTIVE HOLDINGS CORP", "John C. Plant"], ["VISA INC", "Charles W. Scharf"], ["MOBILE MINI INC", "Erik Olsson"], ["CHEVRON CORP", "J. S. Watson"], ["REALOGY HOLDINGS CORP", "Richard A. Smith"], ["BOSTON PROPERTIES INC", "Mortimer B. Zuckerman"], ["CONOCOPHILLIPS", "R. M. Lance"], ["MARATHON OIL CORP", "Clarence P. Cazalot Jr."], ["BOEING CO", "W. James McNerney Jr."], ["AT&T INC", "R. Stephenson"], ["FORD MOTOR CO", "Alan Mulally"], ["EATON CORP PLC", "A. M. Cutler"], ["SIRIUS XM HOLDINGS INC", "James E. Meyer"], ["SCHLUMBERGER LTD", "P. Kibsgaard"], ["TENET HEALTHCARE CORP", "Trevor Fetter"], ["TJX COMPANIES INC", "Carol Meyrowitz"], ["CHESAPEAKE ENERGY CORP", "Robert D. (?Doug?) Lawler"], ["GENERAL GROWTH PPTYS INC", "Sandeep Mathrani"], ["AMERICAN EXPRESS CO", "K. I. Chenault"], ["ROPER INDUSTRIES INC", "Brian D. Jellison"], ["COMPUTER SCIENCES CORP", "J. Michael Lawrie"], ["EVEREST RE GROUP LTD", "Joseph V. Taranto"], ["DISCOVER FINANCIAL SVCS INC", "David W. Nelms"], ["CISCO SYSTEMS INC", "John T. Chambers"], ["CELGENE CORP", "Robert J. Hugin"], ["ABBOTT LABORATORIES", "Miles D. White"], ["HALLIBURTON CO", "David J. Lesar"], ["BRISTOL-MYERS SQUIBB CO", "Lamberto Andreotti"], ["MDC PARTNERS INC", "Miles S. Nadal"], ["DOW CHEMICAL", "Andrew N. Liveris"], ["QUALCOMM INC", "Paul E. Jacobs"], ["VERIFONE SYSTEMS INC", "Paul Galant"], ["COCA-COLA CO", "Muhtar Kent"], ["UNITED TECHNOLOGIES CORP", "Louis Ch?nevert"], ["SLM CORP -SPN", "Albert L. Lord"], ["ALTRIA GROUP INC", "Martin J. Barrington"], ["AFFILIATED MANAGERS GRP INC", "Sean M. Healey"], ["CUMULUS MEDIA INC", "Lewis W. Dickey Jr."], ["GOLDMAN SACHS GROUP INC", "Lloyd C. Blankfein"], ["HEALTH CARE REIT INC", "George L. Chapman"], ["PHILLIPS 66", "Greg C. Garland"], ["GENERAL ELECTRIC CO", "Jeffrey R. Immelt"], ["AMERIPRISE FINANCIAL INC", "James M. Cracchiolo"], ["DANAHER CORP", "H. Lawrence Culp Jr."], ["OFFICE DEPOT INC", "Roland Smith"], ["WYNN RESORTS LTD", "Stephen A. Wynn"], ["NIELSEN HOLDINGS NV", "David Calhoun"], ["WELLS FARGO & CO", "John G. Stumpf"], ["GOODYEAR TIRE & RUBBER CO", "Richard J. Kramer"], ["DEERE & CO", "Samuel R. Allen"], ["JARDEN CORP", "James E. Lillie"], ["GENERAL DYNAMICS CORP", "Phebe N. Novakovic"], ["PFIZER INC", "I. Read"], ["SPECTRUM BRANDS HOLDINGS INC", "David R. Lumley"], ["GAP INC", "Glenn Murphy"], ["LOWE'S COMPANIES INC", "Robert A. Niblock"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case19_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case19_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------------------|
| Denver International Airport |
| Leonardo da Vinci Airport |
| Barcelona Airport |
| O'Hare International Airport |
| Munich Airport |
| Phoenix Sky Harbor International Airport |
| John F. Kennedy International Airport |
| Minneapolis-Saint Paul International Airport |
| Atatürk International Airport |
| Dubai International Airport |
| Los Angeles International Airport |
| London Gatwick Airport |
| Toronto Pearson International Airport |
| Paris Charles de Gaulle Airport |
| Shanghai Pudong International Airport |
| Singapore Changi Airport |
| Seoul Incheon International Airport |
| London Heathrow Airport |
| Paris-Orly Airport |
| Frankfurt Airport |
| Newark Liberty International Airport |
| Charlotte Douglas International Airport |
| Dublin Airport |
| McCarran International Airport |
| Dallas-Fort Worth International Airport |
| Mexico City International Airport |
| Narita International Airport |
| Indira Gandhi International Airport |
| Tokyo International Airport |
| Madrid-Barajas Airport |
| Chhatrapati Shivaji International Airport |
| Hartsfield-Jackson Atlanta International Airport |
| Washington Dulles International Airport |
| Suvarnabhumi Airport |
| Soekarno-Hatta International Airport |
| Sydney Airport |
| Logan International Airport |
| Detroit Metropolitan Wayne County Airport |
| Orlando International Airport |
| Kuala Lumpur International Airport |
| George Bush Intercontinental Airport |
| Melbourne Airport |
| Guangzhou Baiyun International Airport |
| Hong Kong International Airport |
| Beijing Capital International Airport |
| Miami International Airport |
| San Francisco International Airport |
| Seattle-Tacoma International Airport |
| Philadelphia International Airport |
| Amsterdam Airport Schiphol |
Input Table 2:
| Col_1 |
|:--------|
| PVG |
| LAX |
| CDG |
| CLT |
| JFK |
| NRT |
| DFW |
| MUC |
| SYD |
| BOM |
| BKK |
| KUL |
| MIA |
| HKG |
| AMS |
| BOS |
| BCN |
| IAD |
| SEA |
| DXB |
| MAD |
| IAH |
| CAN |
| FCO |
| MEL |
| SIN |
| YYZ |
| LGW |
| ORD |
| MEX |
| DTW |
| DUB |
| PHL |
| LHR |
| ORY |
| SFO |
| PHX |
| EWR |
| CGK |
| DEL |
| MSP |
| IST |
| DEN |
| FRA |
| ICN |
| PEK |
| MCO |
| ATL |
| HND |
| LAS |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case25", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case25", "case": "Case25", "label": [["Hartsfield-Jackson Atlanta International Airport", "ATL"], ["O'Hare International Airport", "ORD"], ["London Heathrow Airport", "LHR"], ["Tokyo International Airport", "HND"], ["Paris Charles de Gaulle Airport", "CDG"], ["Los Angeles International Airport", "LAX"], ["Dallas-Fort Worth International Airport", "DFW"], ["Beijing Capital International Airport", "PEK"], ["Frankfurt Airport", "FRA"], ["Denver International Airport", "DEN"], ["Madrid-Barajas Airport", "MAD"], ["Hong Kong International Airport", "HKG"], ["John F. Kennedy International Airport", "JFK"], ["Amsterdam Airport Schiphol", "AMS"], ["McCarran International Airport", "LAS"], ["George Bush Intercontinental Airport", "IAH"], ["Phoenix Sky Harbor International Airport", "PHX"], ["Suvarnabhumi Airport", "BKK"], ["Singapore Changi Airport", "SIN"], ["Dubai International Airport", "DXB"], ["San Francisco International Airport", "SFO"], ["Orlando International Airport", "MCO"], ["Newark Liberty International Airport", "EWR"], ["Detroit Metropolitan Wayne County Airport", "DTW"], ["Leonardo da Vinci Airport", "FCO"], ["Charlotte Douglas International Airport", "CLT"], ["Munich Airport", "MUC"], ["London Gatwick Airport", "LGW"], ["Miami International Airport", "MIA"], ["Minneapolis-Saint Paul International Airport", "MSP"], ["Narita International Airport", "NRT"], ["Guangzhou Baiyun International Airport", "CAN"], ["Sydney Airport", "SYD"], ["Toronto Pearson International Airport", "YYZ"], ["Seattle-Tacoma International Airport", "SEA"], ["Soekarno-Hatta International Airport", "CGK"], ["Philadelphia International Airport", "PHL"], ["Barcelona Airport", "BCN"], ["Seoul Incheon International Airport", "ICN"], ["Shanghai Pudong International Airport", "PVG"], ["Kuala Lumpur International Airport", "KUL"], ["Atat\u00c3\u00bcrk International Airport", "IST"], ["Mexico City International Airport", "MEX"], ["Paris-Orly Airport", "ORY"], ["Logan International Airport", "BOS"], ["Melbourne Airport", "MEL"], ["Chhatrapati Shivaji International Airport", "BOM"], ["Washington Dulles International Airport", "IAD"], ["Dublin Airport", "DUB"], ["Indira Gandhi International Airport", "DEL"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case25_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case25_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------|
| San Francisco 49ers |
| Houston Texans |
| Minnesota Vikings |
| Oakland Raiders |
| Philadelphia Eagles |
| Arizona Cardinals |
| Washington Redskins |
| New York Giants |
| San Diego Chargers |
| Atlanta Falcons |
| Kansas City Chiefs |
| Buffalo Bills |
| New Orleans Saints |
| Jacksonville Jaguars |
| Tampa Bay Buccaneers |
| Baltimore Ravens |
| Dallas Cowboys |
| Green Bay Packers |
| Cincinnati Bengals |
| New York Jets |
| Seattle Seahawks |
| Pittsburgh Steelers |
| Denver Broncos |
| Carolina Panthers |
| New England Patriots |
| St. Louis Rams |
| Miami Dolphins |
| Indianapolis Colts |
| Cleveland Browns |
| Chicago Bears |
| Tennessee Titans |
| Detroit Lions |
Input Table 2:
| Col_1 |
|:---------------|
| North Carolina |
| New York |
| Indiana |
| Tennessee |
| Minnesota |
| California |
| Florida |
| New Jersey |
| Washington |
| Pennsylvania |
| Michigan |
| Texas |
| Colorado |
| Massachusetts |
| Illinois |
| Missouri |
| Louisiana |
| Ohio |
| Georgia |
| Maryland |
| Wisconsin |
| Arizona |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case32", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case32", "case": "Case32", "label": [["Washington Redskins", "Maryland"], ["New York Jets", "New Jersey"], ["New York Giants", "New Jersey"], ["Dallas Cowboys", "Texas"], ["Kansas City Chiefs", "Missouri"], ["Denver Broncos", "Colorado"], ["Miami Dolphins", "Florida"], ["Carolina Panthers", "North Carolina"], ["New Orleans Saints", "Louisiana"], ["Cleveland Browns", "Ohio"], ["Green Bay Packers", "Wisconsin"], ["Buffalo Bills", "New York"], ["Atlanta Falcons", "Georgia"], ["Houston Texans", "Texas"], ["Baltimore Ravens", "Maryland"], ["San Diego Chargers", "California"], ["San Francisco 49ers", "California"], ["Philadelphia Eagles", "Pennsylvania"], ["Tennessee Titans", "Tennessee"], ["New England Patriots", "Massachusetts"], ["Jacksonville Jaguars", "Florida"], ["Seattle Seahawks", "Washington"], ["St. Louis Rams", "Missouri"], ["Tampa Bay Buccaneers", "Florida"], ["Cincinnati Bengals", "Ohio"], ["Pittsburgh Steelers", "Pennsylvania"], ["Detroit Lions", "Michigan"], ["Minnesota Vikings", "Minnesota"], ["Arizona Cardinals", "Arizona"], ["Oakland Raiders", "California"], ["Indianapolis Colts", "Indiana"], ["Chicago Bears", "Illinois"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case32_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case32_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| TRIP |
| LNG |
| YHOO |
| SLB |
| WYNN |
| SLH |
| PFE |
| NUAN |
| DFS |
| MDCA |
| SLM |
| HELE |
| ODP |
| CMG |
| NBR |
| ZNGA |
| HON |
| SIRI |
| DOW |
| RE |
| TWX |
| LOW |
| RH |
| XOM |
| FCX |
| RL |
| VIAB |
| BA |
| CVS |
| STRZA |
| CELG |
| CVX |
| F |
| MRO |
| THC |
| FLT |
| DHR |
| P |
| SD |
| S |
| ABT |
| T |
| QCOM |
| WFC |
| V |
| KO |
| COP |
| CMLS |
| DIS |
| BMY |
| GGP |
| HAL |
| MINI |
| MCK |
| LNKD |
| HAS |
| REGN |
| ETN |
| DE |
| SPB |
| CHK |
| PAY |
| RLGY |
| GPS |
| TRW |
| UTX |
| AMG |
| MO |
| TJX |
| AMP |
| EL |
| ORCL |
| EMR |
| DISCA |
| AET |
| ROP |
| HCN |
| PSX |
| BXP |
| NLSN |
| ENH |
| CRM |
| AVGO |
| CSCO |
| UTHR |
| GBL |
| CSC |
| CBS |
| TDG |
| GD |
| GE |
| GS |
| GT |
| TMUS |
| JAH |
| LMT |
| CMCSA |
| PH |
| AXP |
| HAIN |
Input Table 2:
| Col_1 |
|:-----------------------------|
| FREEPORT-MCMORAN COP&GOLD |
| HEALTH CARE REIT INC |
| EATON CORP PLC |
| TIME WARNER INC |
| BOEING CO |
| GAMCO INVESTORS INC |
| VERIFONE SYSTEMS INC |
| PFIZER INC |
| HAIN CELESTIAL GROUP INC |
| DISCOVERY COMMUNICATIONS INC |
| TRW AUTOMOTIVE HOLDINGS CORP |
| SIRIUS XM HOLDINGS INC |
| HONEYWELL INTERNATIONAL INC |
| SCHLUMBERGER LTD |
| AMERICAN EXPRESS CO |
| LINKEDIN CORP |
| SOLERA HOLDINGS INC |
| GENERAL ELECTRIC CO |
| QUALCOMM INC |
| CUMULUS MEDIA INC |
| TJX COMPANIES INC |
| DISNEY (WALT) CO |
| EXXON MOBIL CORP |
| WYNN RESORTS LTD |
| AT&T INC |
| MARATHON OIL CORP |
| AMERIPRISE FINANCIAL INC |
| CHEVRON CORP |
| TRIPADVISOR INC |
| FORD MOTOR CO |
| YAHOO INC |
| T-MOBILE US INC |
| ABBOTT LABORATORIES |
| HALLIBURTON CO |
| UNITED TECHNOLOGIES CORP |
| SLM CORP -SPN |
| PANDORA MEDIA INC |
| SPECTRUM BRANDS HOLDINGS INC |
| TENET HEALTHCARE CORP |
| VIACOM INC |
| GAP INC |
| SPRINT CORP |
| NABORS INDUSTRIES LTD |
| NUANCE COMMUNICATIONS INC |
| ORACLE CORP |
| ZYNGA INC |
| CISCO SYSTEMS INC |
| CVS CAREMARK CORP |
| WELLS FARGO & CO |
| DISCOVER FINANCIAL SVCS INC |
| JARDEN CORP |
| NIELSEN HOLDINGS NV |
| MDC PARTNERS INC |
| CELGENE CORP |
| UNITED THERAPEUTICS CORP |
| COCA-COLA CO |
| DOW CHEMICAL |
| MCKESSON CORP |
| MOBILE MINI INC |
| COMPUTER SCIENCES CORP |
| ALTRIA GROUP INC |
| RALPH LAUREN CORP |
| REGENERON PHARMACEUTICALS |
| BRISTOL-MYERS SQUIBB CO |
| COMCAST CORP |
| CBS CORP |
| LOWE'S COMPANIES INC |
| CONOCOPHILLIPS |
| AFFILIATED MANAGERS GRP INC |
| AVAGO TECHNOLOGIES LTD |
| ROPER INDUSTRIES INC |
| VISA INC |
| PHILLIPS 66 |
| LAUDER (ESTEE) COS INC |
| DANAHER CORP |
| CHIPOTLE MEXICAN GRILL INC |
| GENERAL DYNAMICS CORP |
| TRANSDIGM GROUP INC |
| HASBRO INC |
| HELEN OF TROY LTD |
| FLEETCOR TECHNOLOGIES INC |
| AETNA INC |
| CHENIERE ENERGY INC |
| SANDRIDGE ENERGY INC |
| SALESFORCE.COM INC |
| PARKER-HANNIFIN CORP |
| EMERSON ELECTRIC CO |
| REALOGY HOLDINGS CORP |
| CHESAPEAKE ENERGY CORP |
| ENDURANCE SPECIALTY HOLDINGS |
| GOODYEAR TIRE & RUBBER CO |
| OFFICE DEPOT INC |
| RESTORATION HARDWARE HLDNGS |
| STARZ |
| LOCKHEED MARTIN CORP |
| GOLDMAN SACHS GROUP INC |
| EVEREST RE GROUP LTD |
| DEERE & CO |
| BOSTON PROPERTIES INC |
| GENERAL GROWTH PPTYS INC |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case20", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case20", "case": "Case20", "label": [["LNG", "CHENIERE ENERGY INC"], ["GBL", "GAMCO INVESTORS INC"], ["ORCL", "ORACLE CORP"], ["SD", "SANDRIDGE ENERGY INC"], ["NBR", "NABORS INDUSTRIES LTD"], ["CBS", "CBS CORP"], ["TDG", "TRANSDIGM GROUP INC"], ["ZNGA", "ZYNGA INC"], ["FCX", "FREEPORT-MCMORAN COP&GOLD"], ["MCK", "MCKESSON CORP"], ["S", "SPRINT CORP"], ["LNKD", "LINKEDIN CORP"], ["ENH", "ENDURANCE SPECIALTY HOLDINGS"], ["HELE", "HELEN OF TROY LTD"], ["TRIP", "TRIPADVISOR INC"], ["UTHR", "UNITED THERAPEUTICS CORP"], ["VIAB", "VIACOM INC"], ["RH", "RESTORATION HARDWARE HLDNGS"], ["REGN", "REGENERON PHARMACEUTICALS"], ["DIS", "DISNEY (WALT) CO"], ["DISCA", "DISCOVERY COMMUNICATIONS INC"], ["FLT", "FLEETCOR TECHNOLOGIES INC"], ["TWX", "TIME WARNER INC"], ["AVGO", "AVAGO TECHNOLOGIES LTD"], ["EL", "LAUDER (ESTEE) COS INC"], ["CMCSA", "COMCAST CORP"], ["CRM", "SALESFORCE.COM INC"], ["CVS", "CVS CAREMARK CORP"], ["AET", "AETNA INC"], ["STRZA", "STARZ"], ["SLH", "SOLERA HOLDINGS INC"], ["TMUS", "T-MOBILE US INC"], ["NUAN", "NUANCE COMMUNICATIONS INC"], ["P", "PANDORA MEDIA INC"], ["XOM", "EXXON MOBIL CORP"], ["PH", "PARKER-HANNIFIN CORP"], ["HAS", "HASBRO INC"], ["HAIN", "HAIN CELESTIAL GROUP INC"], ["RL", "RALPH LAUREN CORP"], ["HON", "HONEYWELL INTERNATIONAL INC"], ["EMR", "EMERSON ELECTRIC CO"], ["LMT", "LOCKHEED MARTIN CORP"], ["CMG", "CHIPOTLE MEXICAN GRILL INC"], ["YHOO", "YAHOO INC"], ["TRW", "TRW AUTOMOTIVE HOLDINGS CORP"], ["V", "VISA INC"], ["MINI", "MOBILE MINI INC"], ["CVX", "CHEVRON CORP"], ["RLGY", "REALOGY HOLDINGS CORP"], ["BXP", "BOSTON PROPERTIES INC"], ["COP", "CONOCOPHILLIPS"], ["MRO", "MARATHON OIL CORP"], ["BA", "BOEING CO"], ["T", "AT&T INC"], ["F", "FORD MOTOR CO"], ["ETN", "EATON CORP PLC"], ["SIRI", "SIRIUS XM HOLDINGS INC"], ["SLB", "SCHLUMBERGER LTD"], ["THC", "TENET HEALTHCARE CORP"], ["TJX", "TJX COMPANIES INC"], ["CHK", "CHESAPEAKE ENERGY CORP"], ["GGP", "GENERAL GROWTH PPTYS INC"], ["AXP", "AMERICAN EXPRESS CO"], ["ROP", "ROPER INDUSTRIES INC"], ["CSC", "COMPUTER SCIENCES CORP"], ["RE", "EVEREST RE GROUP LTD"], ["DFS", "DISCOVER FINANCIAL SVCS INC"], ["CSCO", "CISCO SYSTEMS INC"], ["CELG", "CELGENE CORP"], ["ABT", "ABBOTT LABORATORIES"], ["HAL", "HALLIBURTON CO"], ["BMY", "BRISTOL-MYERS SQUIBB CO"], ["MDCA", "MDC PARTNERS INC"], ["DOW", "DOW CHEMICAL"], ["QCOM", "QUALCOMM INC"], ["PAY", "VERIFONE SYSTEMS INC"], ["KO", "COCA-COLA CO"], ["UTX", "UNITED TECHNOLOGIES CORP"], ["SLM", "SLM CORP -SPN"], ["MO", "ALTRIA GROUP INC"], ["AMG", "AFFILIATED MANAGERS GRP INC"], ["CMLS", "CUMULUS MEDIA INC"], ["GS", "GOLDMAN SACHS GROUP INC"], ["HCN", "HEALTH CARE REIT INC"], ["PSX", "PHILLIPS 66"], ["GE", "GENERAL ELECTRIC CO"], ["AMP", "AMERIPRISE FINANCIAL INC"], ["DHR", "DANAHER CORP"], ["ODP", "OFFICE DEPOT INC"], ["WYNN", "WYNN RESORTS LTD"], ["NLSN", "NIELSEN HOLDINGS NV"], ["WFC", "WELLS FARGO & CO"], ["GT", "GOODYEAR TIRE & RUBBER CO"], ["DE", "DEERE & CO"], ["JAH", "JARDEN CORP"], ["GD", "GENERAL DYNAMICS CORP"], ["PFE", "PFIZER INC"], ["SPB", "SPECTRUM BRANDS HOLDINGS INC"], ["GPS", "GAP INC"], ["LOW", "LOWE'S COMPANIES INC"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case20_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case20_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------------------|
| Backstreet's Back / Backstreet Boys |
| No Jacket Required |
| CrazySexyCool |
| The Woman in Me |
| True Blue |
| Happy Nation/The Sign |
| Can't Slow Down |
| Confessions |
| The Marshall Mathers LP |
| Purple Rain |
| Millennium |
| Nevermind |
| The Joshua Tree |
| Boston |
| Whitney Houston |
| Hysteria |
| Grease |
| (What's the Story) Morning Glory? |
| Spice |
| Cross Road |
| HIStory: Past, Present and Future, Book I |
| Tapestry |
| Hybrid Theory |
| Slippery When Wet |
| Faith |
| Private Dancer |
| ABBA Gold: Greatest Hits |
| Bridge over Troubled Water |
| Like a Virgin |
| Breakfast in America |
| Whitney |
| Oops!... I Did It Again |
| Off the Wall |
| Legend: The Best of Bob Marley & The Wailers |
| Daydream |
| Greatest Hits |
| Guilty |
| ...Baby One More Time |
| Come Away with Me |
| 21 |
| Unplugged |
Input Table 2:
| Col_1 |
|:-------------------------|
| Simon & Garfunkel |
| Supertramp |
| Nirvana |
| Carole King |
| TLC |
| Tina Turner |
| Bon Jovi |
| Lionel Richie |
| Backstreet Boys |
| Shania Twain |
| Various artists |
| Linkin Park |
| Phil Collins |
| Boston |
| Bob Marley & The Wailers |
| Whitney Houston |
| Queen |
| Barbra Streisand |
| Def Leppard |
| Oasis |
| Eric Clapton |
| Michael Jackson |
| Spice Girls |
| Norah Jones |
| George Michael |
| Prince & The Revolution |
| Usher |
| Mariah Carey |
| Britney Spears |
| Adele |
| Madonna |
| Eminem |
| Ace of Base |
| U2 |
| ABBA |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case28", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case28", "case": "Case28", "label": [["ABBA Gold: Greatest Hits", "ABBA"], ["Backstreet's Back / Backstreet Boys", "Backstreet Boys"], ["Millennium", "Backstreet Boys"], ["Slippery When Wet", "Bon Jovi"], ["Spice", "Spice Girls"], ["Grease", "Various artists"], ["21", "Adele"], ["...Baby One More Time", "Britney Spears"], ["Nevermind", "Nirvana"], ["Come Away with Me", "Norah Jones"], ["Legend: The Best of Bob Marley & The Wailers", "Bob Marley & The Wailers"], ["Tapestry", "Carole King"], ["True Blue", "Madonna"], ["Daydream", "Mariah Carey"], ["Greatest Hits", "Queen"], ["Bridge over Troubled Water", "Simon & Garfunkel"], ["The Joshua Tree", "U2"], ["Whitney Houston", "Whitney Houston"], ["Whitney", "Whitney Houston"], ["Hybrid Theory", "Linkin Park"], ["Happy Nation/The Sign", "Ace of Base"], ["CrazySexyCool", "TLC"], ["(What's the Story) Morning Glory?", "Oasis"], ["Cross Road", "Bon Jovi"], ["Like a Virgin", "Madonna"], ["Guilty", "Barbra Streisand"], ["Boston", "Boston"], ["Oops!... I Did It Again", "Britney Spears"], ["Hysteria", "Def Leppard"], ["Faith", "George Michael"], ["The Marshall Mathers LP", "Eminem"], ["Unplugged", "Eric Clapton"], ["Can't Slow Down", "Lionel Richie"], ["HIStory: Past, Present and Future, Book I", "Michael Jackson"], ["Off the Wall", "Michael Jackson"], ["No Jacket Required", "Phil Collins"], ["Purple Rain", "Prince & The Revolution"], ["The Woman in Me", "Shania Twain"], ["Breakfast in America", "Supertramp"], ["Private Dancer", "Tina Turner"], ["Confessions", "Usher"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case28_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case28_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------------------------|
| Louis Armstrong New Orleans International Airport |
| Palm Beach International Airport |
| Austin-Bergstrom International Airport |
| Ted Stevens Anchorage International Airport |
| Theodore Francis Green State Airport |
| Cleveland Hopkins International Airport |
| Bradley International Airport |
| Memphis International Airport |
| John Wayne Airport |
| Ontario International Airport |
| Jacksonville International Airport |
| Cincinnati/Northern Kentucky International Airport |
| Albuquerque International Sunport |
| Bob Hope Airport |
| Nashville International Airport |
| Indianapolis International Airport |
| Raleigh-Durham International Airport |
| Buffalo Niagara International Airport |
| Lambert–St. Louis International Airport |
| Pittsburgh International Airport |
| San Jose International Airport |
| William P. Hobby Airport |
| San Antonio International Airport |
| Luis Muñoz Marín International Airport |
| Metropolitan Oakland International Airport |
| Sacramento International Airport |
| Dallas Love Field |
| Port Columbus International Airport |
| Kahului Airport |
| Eppley Airfield |
| Southwest Florida International Airport |
| General Mitchell International Airport |
| Kansas City International Airport |
Input Table 2:
| Col_1 |
|:--------|
| HI |
| MO |
| PR |
| TX |
| IN |
| FL |
| AK |
| NY |
| PA |
| CT |
| WI |
| LA |
| NC |
| NE |
| RI |
| OH |
| TN |
| CA |
| NM |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case44", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case44", "case": "Case44", "label": [["Lambert\u2013St. Louis International Airport", "MO"], ["William P. Hobby Airport", "TX"], ["Nashville International Airport", "TN"], ["Austin-Bergstrom International Airport", "TX"], ["Kansas City International Airport", "MO"], ["Metropolitan Oakland International Airport", "CA"], ["Louis Armstrong New Orleans International Airport", "LA"], ["John Wayne Airport", "CA"], ["Raleigh-Durham International Airport", "NC"], ["Cleveland Hopkins International Airport", "OH"], ["San Jose International Airport", "CA"], ["Sacramento International Airport", "CA"], ["Luis Mu\u00f1oz Mar\u00edn International Airport", "PR"], ["Dallas Love Field", "TX"], ["San Antonio International Airport", "TX"], ["Pittsburgh International Airport", "PA"], ["Southwest Florida International Airport", "FL"], ["Indianapolis International Airport", "IN"], ["General Mitchell International Airport", "WI"], ["Port Columbus International Airport", "OH"], ["Kahului Airport", "HI"], ["Palm Beach International Airport", "FL"], ["Cincinnati/Northern Kentucky International Airport", "OH"], ["Bradley International Airport", "CT"], ["Buffalo Niagara International Airport", "NY"], ["Jacksonville International Airport", "FL"], ["Albuquerque International Sunport", "NM"], ["Ted Stevens Anchorage International Airport", "AK"], ["Memphis International Airport", "TN"], ["Eppley Airfield", "NE"], ["Ontario International Airport", "CA"], ["Bob Hope Airport", "CA"], ["Theodore Francis Green State Airport", "RI"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case44_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case44_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------------------|
| Denver International Airport |
| Leonardo da Vinci Airport |
| Barcelona Airport |
| O'Hare International Airport |
| Munich Airport |
| Phoenix Sky Harbor International Airport |
| John F. Kennedy International Airport |
| Minneapolis-Saint Paul International Airport |
| Atatürk International Airport |
| Dubai International Airport |
| Los Angeles International Airport |
| London Gatwick Airport |
| Toronto Pearson International Airport |
| Paris Charles de Gaulle Airport |
| Shanghai Pudong International Airport |
| Singapore Changi Airport |
| Seoul Incheon International Airport |
| London Heathrow Airport |
| Paris-Orly Airport |
| Frankfurt Airport |
| Newark Liberty International Airport |
| Charlotte Douglas International Airport |
| Dublin Airport |
| McCarran International Airport |
| Dallas-Fort Worth International Airport |
| Mexico City International Airport |
| Narita International Airport |
| Indira Gandhi International Airport |
| Tokyo International Airport |
| Madrid-Barajas Airport |
| Chhatrapati Shivaji International Airport |
| Hartsfield-Jackson Atlanta International Airport |
| Washington Dulles International Airport |
| Suvarnabhumi Airport |
| Soekarno-Hatta International Airport |
| Sydney Airport |
| Logan International Airport |
| Detroit Metropolitan Wayne County Airport |
| Orlando International Airport |
| Kuala Lumpur International Airport |
| George Bush Intercontinental Airport |
| Melbourne Airport |
| Guangzhou Baiyun International Airport |
| Hong Kong International Airport |
| Beijing Capital International Airport |
| Miami International Airport |
| San Francisco International Airport |
| Seattle-Tacoma International Airport |
| Philadelphia International Airport |
| Amsterdam Airport Schiphol |
Input Table 2:
| Col_1 |
|:--------|
| EGLL |
| VABB |
| KPHI |
| CYYZ |
| KSFO |
| WSSS |
| KPHX |
| KEWR |
| EIDW |
| VHHH |
| YMML |
| KMSP |
| RJTT |
| WMKK |
| LEBL |
| EGKK |
| KIAD |
| KIAH |
| VTBS |
| KSEA |
| YSSY |
| EHAM |
| KORD |
| KDTW |
| EDDF |
| KCLT |
| KJFK |
| ZSPD |
| EDDM |
| KDFW |
| LFPG |
| LIRF |
| VIDP |
| KBOS |
| KMIA |
| WIII |
| LFPO |
| ZBAA |
| KDEN |
| ZGGG |
| LTBA |
| RKSI |
| KATL |
| KMCO |
| MMMX |
| KLAS |
| LEMD |
| OMDB |
| KLAX |
| RJAA |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case26", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case26", "case": "Case26", "label": [["Hartsfield-Jackson Atlanta International Airport", "KATL"], ["O'Hare International Airport", "KORD"], ["London Heathrow Airport", "EGLL"], ["Tokyo International Airport", "RJTT"], ["Paris Charles de Gaulle Airport", "LFPG"], ["Los Angeles International Airport", "KLAX"], ["Dallas-Fort Worth International Airport", "KDFW"], ["Beijing Capital International Airport", "ZBAA"], ["Frankfurt Airport", "EDDF"], ["Denver International Airport", "KDEN"], ["Madrid-Barajas Airport", "LEMD"], ["Hong Kong International Airport", "VHHH"], ["John F. Kennedy International Airport", "KJFK"], ["Amsterdam Airport Schiphol", "EHAM"], ["McCarran International Airport", "KLAS"], ["George Bush Intercontinental Airport", "KIAH"], ["Phoenix Sky Harbor International Airport", "KPHX"], ["Suvarnabhumi Airport", "VTBS"], ["Singapore Changi Airport", "WSSS"], ["Dubai International Airport", "OMDB"], ["San Francisco International Airport", "KSFO"], ["Orlando International Airport", "KMCO"], ["Newark Liberty International Airport", "KEWR"], ["Detroit Metropolitan Wayne County Airport", "KDTW"], ["Leonardo da Vinci Airport", "LIRF"], ["Charlotte Douglas International Airport", "KCLT"], ["Munich Airport", "EDDM"], ["London Gatwick Airport", "EGKK"], ["Miami International Airport", "KMIA"], ["Minneapolis-Saint Paul International Airport", "KMSP"], ["Narita International Airport", "RJAA"], ["Guangzhou Baiyun International Airport", "ZGGG"], ["Sydney Airport", "YSSY"], ["Toronto Pearson International Airport", "CYYZ"], ["Seattle-Tacoma International Airport", "KSEA"], ["Soekarno-Hatta International Airport", "WIII"], ["Philadelphia International Airport", "KPHI"], ["Barcelona Airport", "LEBL"], ["Seoul Incheon International Airport", "RKSI"], ["Shanghai Pudong International Airport", "ZSPD"], ["Kuala Lumpur International Airport", "WMKK"], ["Atat\u00c3\u00bcrk International Airport", "LTBA"], ["Mexico City International Airport", "MMMX"], ["Paris-Orly Airport", "LFPO"], ["Logan International Airport", "KBOS"], ["Melbourne Airport", "YMML"], ["Chhatrapati Shivaji International Airport", "VABB"], ["Washington Dulles International Airport", "KIAD"], ["Dublin Airport", "EIDW"], ["Indira Gandhi International Airport", "VIDP"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case26_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case26_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------|
| Martin Van Buren |
| John Adams |
| Hubert M. Humphrey |
| Elbridge Gerry |
| Charles G. Dawes |
| Dan Quayle |
| William A. Wheeler |
| Gerald R. Ford |
| Charles W. Fairbanks |
| Thomas Jefferson |
| Andrew Johnson |
| Schuyler Colfax |
| Nelson Rockefeller |
| Thomas R. Marshall |
| John Tyler |
| Henry Wilson |
| Richard Cheney |
| Daniel D. Tompkins |
| Henry A. Wallace |
| Aaron Burr |
| Hannibal Hamlin |
| Charles Curtis |
| Chester A. Arthur |
| Richard M. Nixon |
| Walter F. Mondale |
| Richard M. Johnson |
| Millard Fillmore |
| Calvin Coolidge |
| Levi P. Morton |
| William R. King |
| Adlai E. Stevenson |
| John C. Breckinridge |
| Harry S. Truman |
| Albert Gore |
| Garret A. Hobart |
| Theodore Roosevelt |
| James S. Sherman |
| John N. Garner |
| Lyndon B. Johnson |
| Joseph R. Biden |
| George M. Dallas |
| Barkley, Alben W |
| Spiro T. Agnew |
| George Bush |
| Thomas A. Hendricks |
Input Table 2:
| Col_1 |
|:--------------------------|
| Martin Van Buren |
| William Henry Harrison |
| George Washington |
| John Adams |
| Zachary Taylor |
| Dwight D. Eisenhower |
| Herbert Hoover |
| James A. Garfield |
| William H. Taft |
| Bill Clinton |
| John F. Kennedy |
| Gerald R. Ford |
| George W. Bush |
| Thomas Jefferson |
| Franklin D. Roosevelt |
| Jimmy Carter |
| James K. Polk |
| James Madison |
| Rutherford Birchard Hayes |
| Ulysses S. Grant |
| Andrew Jackson |
| Ronald Reagan |
| Woodrow Wilson |
| Grover Cleveland |
| James Buchanan |
| Warren G. Harding |
| Benjamin Harrison |
| Richard M. Nixon |
| Franklin Pierce |
| Abraham Lincoln |
| Calvin Coolidge |
| Barack Obama |
| James Monroe |
| Harry S. Truman |
| William McKinley |
| Theodore Roosevelt |
| Lyndon B. Johnson |
| George Bush |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case43", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case43", "case": "Case43", "label": [["John Adams", "George Washington"], ["Thomas Jefferson", "John Adams"], ["Aaron Burr", "Thomas Jefferson"], ["Elbridge Gerry", "James Madison"], ["Daniel D. Tompkins", "James Monroe"], ["Martin Van Buren", "Andrew Jackson"], ["Richard M. Johnson", "Martin Van Buren"], ["John Tyler", "William Henry Harrison"], ["George M. Dallas", "James K. Polk"], ["Millard Fillmore", "Zachary Taylor"], ["William R. King", "Franklin Pierce"], ["John C. Breckinridge", "James Buchanan"], ["Hannibal Hamlin", "Abraham Lincoln"], ["Andrew Johnson", "Abraham Lincoln"], ["Schuyler Colfax", "Ulysses S. Grant"], ["Henry Wilson", "Ulysses S. Grant"], ["William A. Wheeler", "Rutherford Birchard Hayes"], ["Chester A. Arthur", "James A. Garfield"], ["Thomas A. Hendricks", "Grover Cleveland"], ["Levi P. Morton", "Benjamin Harrison"], ["Adlai E. Stevenson", "Grover Cleveland"], ["Garret A. Hobart", "William McKinley"], ["Theodore Roosevelt", "William McKinley"], ["Charles W. Fairbanks", "Theodore Roosevelt"], ["James S. Sherman", "William H. Taft"], ["Thomas R. Marshall", "Woodrow Wilson"], ["Calvin Coolidge", "Warren G. Harding"], ["Charles G. Dawes", "Calvin Coolidge"], ["Charles Curtis", "Herbert Hoover"], ["John N. Garner", "Franklin D. Roosevelt"], ["Henry A. Wallace", "Franklin D. Roosevelt"], ["Harry S. Truman", "Franklin D. Roosevelt"], ["Barkley, Alben W", "Harry S. Truman"], ["Richard M. Nixon", "Dwight D. Eisenhower"], ["Lyndon B. Johnson", "John F. Kennedy"], ["Hubert M. Humphrey", "Lyndon B. Johnson"], ["Spiro T. Agnew", "Richard M. Nixon"], ["Gerald R. Ford", "Richard M. Nixon"], ["Nelson Rockefeller", "Gerald R. Ford"], ["Walter F. Mondale", "Jimmy Carter"], ["George Bush", "Ronald Reagan"], ["Dan Quayle", "George Bush"], ["Albert Gore", "Bill Clinton"], ["Richard Cheney", "George W. Bush"], ["Joseph R. Biden", "Barack Obama"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case43_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case43_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Papua New Guinea |
| Cambodia |
| Kazakhstan |
| Paraguay |
| Syria |
| Solomon Islands |
| Mali |
| Marshall Islands |
| Panama |
| Laos |
| Argentina |
| Seychelles |
| Belize |
| Zambia |
| Bahrain |
| Guinea-Bissau |
| Namibia |
| Comoros |
| Finland |
| Georgia |
| Saint Kitts and Nevis |
| Yemen |
| Eritrea |
| Madagascar |
| Libya |
| Sweden |
| Malawi |
| Andorra |
| Liechtenstein |
| Poland |
| Bulgaria |
| Jordan |
| Tunisia |
| Tuvalu |
| United Arab Emirates |
| Kenya |
| Brunei |
| Djibouti |
| Lebanon |
| Azerbaijan |
| Cuba |
| Czech Republic |
| Mauritania |
| Saint Lucia |
| Israel |
| San Marino |
| Australia |
| Tajikistan |
| Cameroon |
| Cyprus |
| Malaysia |
| Iceland |
| Oman |
| Armenia |
| Gabon |
| Luxembourg |
| Brazil |
| Algeria |
| Slovenia |
| Republic of the Congo |
| Antigua and Barbuda |
| Colombia |
| Ecuador |
| Moldova |
| Vanuatu |
| Honduras |
| Italy |
| Nauru |
| Haiti |
| Afghanistan |
| Burundi |
| Singapore |
| Federated States of Micronesia |
| Vatican City |
| Russia |
| Netherlands |
| China |
| Kyrgyzstan |
| Bhutan |
| Romania |
| Togo |
| Philippines |
| Cote d'Ivoire |
| Uzbekistan |
| Zimbabwe |
| Dominica |
| Indonesia |
| Benin |
| Angola |
| East Timor |
| Sudan |
| Portugal |
| Grenada |
| North Korea |
| Greece |
| Latvia |
| Mongolia |
| Iran |
| Morocco |
| Guatemala |
| Guyana |
| Iraq |
| Chile |
| Nepal |
| The Gambia |
| Tanzania |
| Ukraine |
| Ghana |
| India |
| Canada |
| Maldives |
| Turkey |
| Belgium |
| The Bahamas |
| Taiwan |
| South Africa |
| Trinidad and Tobago |
| Central African Republic |
| Democratic Republic of the Congo |
| Jamaica |
| Peru |
| Turkmenistan |
| Germany |
| Fiji |
| Guinea |
| United States |
| Chad |
| Somalia |
| Sao Tome and Principe |
| Thailand |
| Equatorial Guinea |
| Kiribati |
| Costa Rica |
| Vietnam |
| Kuwait |
| Nigeria |
| Croatia |
| Sri Lanka |
| Uruguay |
| United Kingdom |
| Switzerland |
| Samoa |
| Spain |
| Liberia |
| Venezuela |
| Burkina Faso |
| Swaziland |
| Palau |
| Estonia |
| Austria |
| South Korea |
| Mozambique |
| El Salvador |
| Monaco |
| Lesotho |
| Tonga |
| Hungary |
| Japan |
| Belarus |
| Mauritius |
| Albania |
| New Zealand |
| Senegal |
| Macedonia |
| Ethiopia |
| Egypt |
| Sierra Leone |
| Bolivia |
| Malta |
| Saudi Arabia |
| Cape Verde |
| Pakistan |
| Ireland |
| Qatar |
| Serbia and Montenegro |
| Slovakia |
| France |
| Lithuania |
| Bosnia and Herzegovina |
| Niger |
| Rwanda |
| Burma |
| Bangladesh |
| Barbados |
| Nicaragua |
| Norway |
| Botswana |
| Saint Vincent and the Grenadines |
| Denmark |
| Dominican Republic |
| Mexico |
| Uganda |
| Suriname |
Input Table 2:
| Col_1 |
|:--------------------|
| Belgrade |
| Maputo |
| Male |
| Tashkent |
| Beirut |
| San Jose |
| Port-Vila |
| Baku |
| Banjul |
| Ottawa |
| Chisinau |
| Warsaw |
| Lisbon |
| Valletta |
| Budapest |
| London |
| Muscat |
| Nassau |
| Yaounde |
| Phnom Penh |
| Amman |
| Helsinki |
| Havana |
| Port Moresby |
| Lome |
| Minsk |
| La Paz |
| Managua |
| Mogadishu |
| Tbilisi |
| Djibouti |
| Kampala |
| Jakarta |
| San Marino |
| Nuku'alofa |
| Mexico City |
| Mbabana |
| Antananarivo |
| Suva |
| Kiev |
| Kingstown |
| Ashgabat |
| Majuro |
| Rome |
| Nairobi |
| Bishtek |
| Tokyo |
| Luxembourg |
| Sarajevo |
| Oslo |
| Jerusalem |
| Bratislava |
| Prague |
| Baghdad |
| Yerevan |
| Dili |
| Singapore |
| Doha |
| Rangoon |
| Bangui |
| Sofia |
| Taipei |
| Tallinn |
| Kingston |
| Manila |
| Moroni |
| Kuala Lumpur |
| Asuncion |
| Vatican City |
| Reykjavik |
| Manama |
| Yamoussoukro |
| Malabo |
| Luanda |
| Pyongyang |
| Sao Tome |
| Santo Domingo |
| Nouakchott |
| Panama City |
| Kinshasa |
| Skopje |
| Cairo |
| Ankara |
| Tegucigalpa |
| Yaren District |
| Bamako |
| Tunis |
| Castries |
| Bucharest |
| Kabul |
| Copenhagen |
| Brazzaville |
| Kathmandu |
| Lusaka |
| Nicosia |
| Georgetown |
| Wellington |
| Andorra la Vella |
| Victoria |
| Addis Ababa |
| Freetown |
| Bandar Seri Begawan |
| Athens |
| Hanoi |
| Abu Dhabi |
| Beijing |
| Bangkok |
| Santiago |
| Niamey |
| N'Djamena |
| Madrid |
| Maseru |
| Canberra |
| Thimphu |
| Khartoum |
| Algiers |
| Saint George's |
| Astana |
| Abuja |
| Praia |
| Quito |
| Moscow |
| Windhoek |
| Harare |
| Amsterdam |
| Seoul |
| Riga |
| Libreville |
| Buenos Aires |
| Washington D.C. |
| Palikir |
| Sanaa |
| Funafuti |
| Asmara |
| Islamabad |
| Tirane |
| Vientiane |
| Bridgetown |
| Brasilia |
| Ulaanbaatar |
| Koror |
| Honiara |
| Dublin |
| San Salvador |
| Riyadh |
| Belmopan |
| Accra |
| Zagreb |
| Monaco |
| Porto-Novo |
| Brussels |
| Tarawa |
| Ouagadougou |
| Berlin |
| Kigali |
| Paramaribo |
| Port Louis |
| Dar es Salaam |
| Bogota |
| Stockholm |
| Guatemala City |
| New Delhi |
| Caracas |
| Conakry |
| Vaduz |
| Vilnius |
| Apia |
| Dhaka |
| Bern |
| Lilongwe |
| Bujumbura |
| Damascus |
| Gaborone |
| Basseterre |
| Port-of-Spain |
| Lima |
| Tripoli |
| Rabat |
| Vienna |
| Pretoria |
| Colombo |
| Dushanbe |
| Roseau |
| Montevideo |
| Tehran |
| Bissau |
| Ljubljana |
| Dakar |
| Monrovia |
| Port-au-Prince |
| Kuwait City |
| Saint John's |
| Paris |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case10", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case10", "case": "Case10", "label": [["Afghanistan", "Kabul"], ["Albania", "Tirane"], ["Algeria", "Algiers"], ["Andorra", "Andorra la Vella"], ["Angola", "Luanda"], ["Antigua and Barbuda", "Saint John's"], ["Argentina", "Buenos Aires"], ["Armenia", "Yerevan"], ["Australia", "Canberra"], ["Austria", "Vienna"], ["Azerbaijan", "Baku"], ["Bahrain", "Manama"], ["Bangladesh", "Dhaka"], ["Barbados", "Bridgetown"], ["Belarus", "Minsk"], ["Belgium", "Brussels"], ["Belize", "Belmopan"], ["Benin", "Porto-Novo"], ["Bhutan", "Thimphu"], ["Bolivia", "La Paz"], ["Bosnia and Herzegovina", "Sarajevo"], ["Botswana", "Gaborone"], ["Brazil", "Brasilia"], ["Brunei", "Bandar Seri Begawan"], ["Bulgaria", "Sofia"], ["Burkina Faso", "Ouagadougou"], ["Burma", "Rangoon"], ["Burundi", "Bujumbura"], ["Cambodia", "Phnom Penh"], ["Cameroon", "Yaounde"], ["Canada", "Ottawa"], ["Cape Verde", "Praia"], ["Central African Republic", "Bangui"], ["Chad", "N'Djamena"], ["Chile", "Santiago"], ["China", "Beijing"], ["Colombia", "Bogota"], ["Comoros", "Moroni"], ["Costa Rica", "San Jose"], ["Cote d'Ivoire", "Yamoussoukro"], ["Croatia", "Zagreb"], ["Cuba", "Havana"], ["Cyprus", "Nicosia"], ["Czech Republic", "Prague"], ["Democratic Republic of the Congo", "Kinshasa"], ["Denmark", "Copenhagen"], ["Djibouti", "Djibouti"], ["Dominica", "Roseau"], ["Dominican Republic", "Santo Domingo"], ["East Timor", "Dili"], ["Ecuador", "Quito"], ["Egypt", "Cairo"], ["El Salvador", "San Salvador"], ["Equatorial Guinea", "Malabo"], ["Eritrea", "Asmara"], ["Estonia", "Tallinn"], ["Ethiopia", "Addis Ababa"], ["Federated States of Micronesia", "Palikir"], ["Fiji", "Suva"], ["Finland", "Helsinki"], ["France", "Paris"], ["Gabon", "Libreville"], ["Georgia", "Tbilisi"], ["Germany", "Berlin"], ["Ghana", "Accra"], ["Greece", "Athens"], ["Grenada", "Saint George's"], ["Guatemala", "Guatemala City"], ["Guinea", "Conakry"], ["Guinea-Bissau", "Bissau"], ["Guyana", "Georgetown"], ["Haiti", "Port-au-Prince"], ["Honduras", "Tegucigalpa"], ["Hungary", "Budapest"], ["Iceland", "Reykjavik"], ["India", "New Delhi"], ["Indonesia", "Jakarta"], ["Iran", "Tehran"], ["Iraq", "Baghdad"], ["Ireland", "Dublin"], ["Israel", "Jerusalem"], ["Italy", "Rome"], ["Jamaica", "Kingston"], ["Japan", "Tokyo"], ["Jordan", "Amman"], ["Kazakhstan", "Astana"], ["Kenya", "Nairobi"], ["Kiribati", "Tarawa"], ["Kuwait", "Kuwait City"], ["Kyrgyzstan", "Bishtek"], ["Laos", "Vientiane"], ["Latvia", "Riga"], ["Lebanon", "Beirut"], ["Lesotho", "Maseru"], ["Liberia", "Monrovia"], ["Libya", "Tripoli"], ["Liechtenstein", "Vaduz"], ["Lithuania", "Vilnius"], ["Luxembourg", "Luxembourg"], ["Macedonia", "Skopje"], ["Madagascar", "Antananarivo"], ["Malawi", "Lilongwe"], ["Malaysia", "Kuala Lumpur"], ["Maldives", "Male"], ["Mali", "Bamako"], ["Malta", "Valletta"], ["Marshall Islands", "Majuro"], ["Mauritania", "Nouakchott"], ["Mauritius", "Port Louis"], ["Mexico", "Mexico City"], ["Moldova", "Chisinau"], ["Monaco", "Monaco"], ["Mongolia", "Ulaanbaatar"], ["Morocco", "Rabat"], ["Mozambique", "Maputo"], ["Namibia", "Windhoek"], ["Nauru", "Yaren District"], ["Nepal", "Kathmandu"], ["Netherlands", "Amsterdam"], ["New Zealand", "Wellington"], ["Nicaragua", "Managua"], ["Niger", "Niamey"], ["Nigeria", "Abuja"], ["North Korea", "Pyongyang"], ["Norway", "Oslo"], ["Oman", "Muscat"], ["Pakistan", "Islamabad"], ["Palau", "Koror"], ["Panama", "Panama City"], ["Papua New Guinea", "Port Moresby"], ["Paraguay", "Asuncion"], ["Peru", "Lima"], ["Philippines", "Manila"], ["Poland", "Warsaw"], ["Portugal", "Lisbon"], ["Qatar", "Doha"], ["Republic of the Congo", "Brazzaville"], ["Romania", "Bucharest"], ["Russia", "Moscow"], ["Rwanda", "Kigali"], ["Saint Kitts and Nevis", "Basseterre"], ["Saint Lucia", "Castries"], ["Saint Vincent and the Grenadines", "Kingstown"], ["Samoa", "Apia"], ["San Marino", "San Marino"], ["Sao Tome and Principe", "Sao Tome"], ["Saudi Arabia", "Riyadh"], ["Senegal", "Dakar"], ["Serbia and Montenegro", "Belgrade"], ["Seychelles", "Victoria"], ["Sierra Leone", "Freetown"], ["Singapore", "Singapore"], ["Slovakia", "Bratislava"], ["Slovenia", "Ljubljana"], ["Solomon Islands", "Honiara"], ["Somalia", "Mogadishu"], ["South Africa", "Pretoria"], ["South Korea", "Seoul"], ["Spain", "Madrid"], ["Sri Lanka", "Colombo"], ["Sudan", "Khartoum"], ["Suriname", "Paramaribo"], ["Swaziland", "Mbabana"], ["Sweden", "Stockholm"], ["Switzerland", "Bern"], ["Syria", "Damascus"], ["Taiwan", "Taipei"], ["Tajikistan", "Dushanbe"], ["Tanzania", "Dar es Salaam"], ["Thailand", "Bangkok"], ["The Bahamas", "Nassau"], ["The Gambia", "Banjul"], ["Togo", "Lome"], ["Tonga", "Nuku'alofa"], ["Trinidad and Tobago", "Port-of-Spain"], ["Tunisia", "Tunis"], ["Turkey", "Ankara"], ["Turkmenistan", "Ashgabat"], ["Tuvalu", "Funafuti"], ["Uganda", "Kampala"], ["Ukraine", "Kiev"], ["United Arab Emirates", "Abu Dhabi"], ["United Kingdom", "London"], ["United States", "Washington D.C."], ["Uruguay", "Montevideo"], ["Uzbekistan", "Tashkent"], ["Vanuatu", "Port-Vila"], ["Vatican City", "Vatican City"], ["Venezuela", "Caracas"], ["Vietnam", "Hanoi"], ["Yemen", "Sanaa"], ["Zambia", "Lusaka"], ["Zimbabwe", "Harare"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case10_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case10_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------|
| Krakatoa |
| Mount St. Helens |
| Mount Vesuvius |
| Eyjafjallajokull |
| Nevado del Ruiz |
| Mount Tambora |
| Mauna Loa |
| Mount Pinatubo |
Input Table 2:
| Col_1 |
|:--------------|
| Colombia |
| United States |
| Philippines |
| Italy |
| Iceland |
| Indonesia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case45", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case45", "case": "Case45", "label": [["Mount Vesuvius", "Italy"], ["Krakatoa", "Indonesia"], ["Mount St. Helens", "United States"], ["Mount Tambora", "Indonesia"], ["Mauna Loa", "United States"], ["Eyjafjallajokull", "Iceland"], ["Nevado del Ruiz", "Colombia"], ["Mount Pinatubo", "Philippines"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case45_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case45_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Algeria |
| Angola |
| Benin |
| Botswana |
| Burkina |
| Burundi |
| Cameroon |
| Cape Verde |
| Central African Republic |
| Chad |
| Comoros |
| Congo |
| Congo, Democratic Republic of |
| Djibouti |
| Egypt |
| Equatorial Guinea |
| Eritrea |
| Ethiopia |
| Gabon |
| Gambia |
| Ghana |
| Guinea |
| Guinea-Bissau |
| Ivory Coast |
| Kenya |
| Lesotho |
| Liberia |
| Libya |
| Madagascar |
| Malawi |
| Mali |
| Mauritania |
| Mauritius |
| Morocco |
| Mozambique |
| Namibia |
| Niger |
| Nigeria |
| Rwanda |
| Sao Tome and Principe |
| Senegal |
| Seychelles |
| Sierra Leone |
| Somalia |
| South Africa |
| South Sudan |
| Sudan |
| Swaziland |
| Tanzania |
| Togo |
| Tunisia |
| Uganda |
| Zambia |
| Zimbabwe |
| Afghanistan |
| Bahrain |
| Bangladesh |
| Bhutan |
| Brunei |
| Burma (Myanmar) |
| Cambodia |
| China |
| East Timor |
| India |
| Indonesia |
| Iran |
| Iraq |
| Israel |
| Japan |
| Jordan |
| Kazakhstan |
| Korea, North |
| Korea, South |
| Kuwait |
| Kyrgyzstan |
| Laos |
| Lebanon |
| Malaysia |
| Maldives |
| Mongolia |
| Nepal |
| Oman |
| Pakistan |
| Philippines |
| Qatar |
| Russian Federation |
| Saudi Arabia |
| Singapore |
| Sri Lanka |
| Syria |
| Tajikistan |
| Thailand |
| Turkey |
| Turkmenistan |
| United Arab Emirates |
| Uzbekistan |
| Vietnam |
| Yemen |
| Albania |
| Andorra |
| Armenia |
| Austria |
| Azerbaijan |
| Belarus |
| Belgium |
| Bosnia and Herzegovina |
| Bulgaria |
| Croatia |
| Cyprus |
| Czech Republic |
| Denmark |
| Estonia |
| Finland |
| France |
| Georgia |
| Germany |
| Greece |
| Hungary |
| Iceland |
| Ireland |
| Italy |
| Latvia |
| Liechtenstein |
| Lithuania |
| Luxembourg |
| Macedonia |
| Malta |
| Moldova |
| Monaco |
| Montenegro |
| Netherlands |
| Norway |
| Poland |
| Portugal |
| Romania |
| San Marino |
| Serbia |
| Slovakia |
| Slovenia |
| Spain |
| Sweden |
| Switzerland |
| Ukraine |
| United Kingdom |
| Vatican City |
| Antigua and Barbuda |
| Bahamas |
| Barbados |
| Belize |
| Canada |
| Costa Rica |
| Cuba |
| Dominica |
| Dominican Republic |
| El Salvador |
| Grenada |
| Guatemala |
| Haiti |
| Honduras |
| Jamaica |
| Mexico |
| Nicaragua |
| Panama |
| Saint Kitts and Nevis |
| Saint Lucia |
| Saint Vincent and the Grenadines |
| Trinidad and Tobago |
| United States |
| Australia |
| Fiji |
| Kiribati |
| Marshall Islands |
| Micronesia |
| Nauru |
| New Zealand |
| Palau |
| Papua New Guinea |
| Samoa |
| Solomon Islands |
| Tonga |
| Tuvalu |
| Vanuatu |
| Argentina |
| Bolivia |
| Brazil |
| Chile |
| Colombia |
| Ecuador |
| Guyana |
| Paraguay |
| Peru |
| Suriname |
| Uruguay |
| Venezuela |
Input Table 2:
| Col_1 |
|:--------------|
| Africa |
| Asia |
| Europe |
| North America |
| Oceania |
| South America |
| Antarctica |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case1", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case1", "case": "Case1", "label": [["Algeria", "Africa"], ["Angola", "Africa"], ["Benin", "Africa"], ["Botswana", "Africa"], ["Burkina", "Africa"], ["Burundi", "Africa"], ["Cameroon", "Africa"], ["Cape Verde", "Africa"], ["Central African Republic", "Africa"], ["Chad", "Africa"], ["Comoros", "Africa"], ["Congo", "Africa"], ["Congo, Democratic Republic of", "Africa"], ["Djibouti", "Africa"], ["Egypt", "Africa"], ["Equatorial Guinea", "Africa"], ["Eritrea", "Africa"], ["Ethiopia", "Africa"], ["Gabon", "Africa"], ["Gambia", "Africa"], ["Ghana", "Africa"], ["Guinea", "Africa"], ["Guinea-Bissau", "Africa"], ["Ivory Coast", "Africa"], ["Kenya", "Africa"], ["Lesotho", "Africa"], ["Liberia", "Africa"], ["Libya", "Africa"], ["Madagascar", "Africa"], ["Malawi", "Africa"], ["Mali", "Africa"], ["Mauritania", "Africa"], ["Mauritius", "Africa"], ["Morocco", "Africa"], ["Mozambique", "Africa"], ["Namibia", "Africa"], ["Niger", "Africa"], ["Nigeria", "Africa"], ["Rwanda", "Africa"], ["Sao Tome and Principe", "Africa"], ["Senegal", "Africa"], ["Seychelles", "Africa"], ["Sierra Leone", "Africa"], ["Somalia", "Africa"], ["South Africa", "Africa"], ["South Sudan", "Africa"], ["Sudan", "Africa"], ["Swaziland", "Africa"], ["Tanzania", "Africa"], ["Togo", "Africa"], ["Tunisia", "Africa"], ["Uganda", "Africa"], ["Zambia", "Africa"], ["Zimbabwe", "Africa"], ["Afghanistan", "Asia"], ["Bahrain", "Asia"], ["Bangladesh", "Asia"], ["Bhutan", "Asia"], ["Brunei", "Asia"], ["Burma (Myanmar)", "Asia"], ["Cambodia", "Asia"], ["China", "Asia"], ["East Timor", "Asia"], ["India", "Asia"], ["Indonesia", "Asia"], ["Iran", "Asia"], ["Iraq", "Asia"], ["Israel", "Asia"], ["Japan", "Asia"], ["Jordan", "Asia"], ["Kazakhstan", "Asia"], ["Korea, North", "Asia"], ["Korea, South", "Asia"], ["Kuwait", "Asia"], ["Kyrgyzstan", "Asia"], ["Laos", "Asia"], ["Lebanon", "Asia"], ["Malaysia", "Asia"], ["Maldives", "Asia"], ["Mongolia", "Asia"], ["Nepal", "Asia"], ["Oman", "Asia"], ["Pakistan", "Asia"], ["Philippines", "Asia"], ["Qatar", "Asia"], ["Russian Federation", "Asia"], ["Saudi Arabia", "Asia"], ["Singapore", "Asia"], ["Sri Lanka", "Asia"], ["Syria", "Asia"], ["Tajikistan", "Asia"], ["Thailand", "Asia"], ["Turkey", "Asia"], ["Turkmenistan", "Asia"], ["United Arab Emirates", "Asia"], ["Uzbekistan", "Asia"], ["Vietnam", "Asia"], ["Yemen", "Asia"], ["Albania", "Europe"], ["Andorra", "Europe"], ["Armenia", "Europe"], ["Austria", "Europe"], ["Azerbaijan", "Europe"], ["Belarus", "Europe"], ["Belgium", "Europe"], ["Bosnia and Herzegovina", "Europe"], ["Bulgaria", "Europe"], ["Croatia", "Europe"], ["Cyprus", "Europe"], ["Czech Republic", "Europe"], ["Denmark", "Europe"], ["Estonia", "Europe"], ["Finland", "Europe"], ["France", "Europe"], ["Georgia", "Europe"], ["Germany", "Europe"], ["Greece", "Europe"], ["Hungary", "Europe"], ["Iceland", "Europe"], ["Ireland", "Europe"], ["Italy", "Europe"], ["Latvia", "Europe"], ["Liechtenstein", "Europe"], ["Lithuania", "Europe"], ["Luxembourg", "Europe"], ["Macedonia", "Europe"], ["Malta", "Europe"], ["Moldova", "Europe"], ["Monaco", "Europe"], ["Montenegro", "Europe"], ["Netherlands", "Europe"], ["Norway", "Europe"], ["Poland", "Europe"], ["Portugal", "Europe"], ["Romania", "Europe"], ["San Marino", "Europe"], ["Serbia", "Europe"], ["Slovakia", "Europe"], ["Slovenia", "Europe"], ["Spain", "Europe"], ["Sweden", "Europe"], ["Switzerland", "Europe"], ["Ukraine", "Europe"], ["United Kingdom", "Europe"], ["Vatican City", "Europe"], ["Antigua and Barbuda", "North America"], ["Bahamas", "North America"], ["Barbados", "North America"], ["Belize", "North America"], ["Canada", "North America"], ["Costa Rica", "North America"], ["Cuba", "North America"], ["Dominica", "North America"], ["Dominican Republic", "North America"], ["El Salvador", "North America"], ["Grenada", "North America"], ["Guatemala", "North America"], ["Haiti", "North America"], ["Honduras", "North America"], ["Jamaica", "North America"], ["Mexico", "North America"], ["Nicaragua", "North America"], ["Panama", "North America"], ["Saint Kitts and Nevis", "North America"], ["Saint Lucia", "North America"], ["Saint Vincent and the Grenadines", "North America"], ["Trinidad and Tobago", "North America"], ["United States", "North America"], ["Australia", "Oceania"], ["Fiji", "Oceania"], ["Kiribati", "Oceania"], ["Marshall Islands", "Oceania"], ["Micronesia", "Oceania"], ["Nauru", "Oceania"], ["New Zealand", "Oceania"], ["Palau", "Oceania"], ["Papua New Guinea", "Oceania"], ["Samoa", "Oceania"], ["Solomon Islands", "Oceania"], ["Tonga", "Oceania"], ["Tuvalu", "Oceania"], ["Vanuatu", "Oceania"], ["Argentina", "South America"], ["Bolivia", "South America"], ["Brazil", "South America"], ["Chile", "South America"], ["Colombia", "South America"], ["Ecuador", "South America"], ["Guyana", "South America"], ["Paraguay", "South America"], ["Peru", "South America"], ["Suriname", "South America"], ["Uruguay", "South America"], ["Venezuela", "South America"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case1_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case1_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------|
| Miranda |
| Tethys |
| Moon |
| Io |
| Enceladus |
| Mimas |
Input Table 2:
| Col_1 |
|:--------|
| Earth |
| Jupiter |
| Saturn |
| Uranus |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case49", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case49", "case": "Case49", "label": [["Mimas", "Saturn"], ["Enceladus", "Saturn"], ["Miranda", "Uranus"], ["Tethys", "Saturn"], ["Io", "Jupiter"], ["Moon", "Earth"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case49_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case49_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------|
| Lingala |
| Hebrew |
| Bashkir |
| Sangro |
| Abkhazian |
| Mongolian |
| Moldavian |
| Zulu |
| Shona |
| Swedish |
| Turkish |
| Ukrainian |
| Kannada |
| Catalan |
| Malay |
| Tegulu |
| Sudanese |
| Armenian |
| Swahili |
| Urdu |
| Romanian |
| Twi |
| Afar |
| Yiddish |
| Macedonian |
| Breton |
| Japanese |
| Estonian |
| Sindhi |
| Bengali, Bangla |
| Gujarati |
| Icelandic |
| Tatar |
| Singhalese |
| Laothian |
| Fiji |
| Tibetan |
| Uzbek |
| Persian |
| German |
| Bhutani |
| Kurdish |
| Serbo-Croatian |
| Azerbaijani |
| Bihari |
| French |
| Greenlandic |
| Maltese |
| Indonesian |
| Esperanto |
| Tagalog |
| Turkmen |
| Nepali |
| Georgian |
| Basque |
| Malayalam |
| Lithuanian |
| Cambodian |
| Korean |
| Assamese |
| Tamil |
| Chinese |
| Vietnamese |
| Czech |
| Galician |
| Somali |
| Dutch |
| Sanskrit |
| Slovak |
| Russian |
| Serbian |
| Marathi |
| Rhaeto-Romance |
| Kirundi |
| Kirghiz |
| Samoan |
| Kinyarwanda |
| Tajik |
| Arabic |
| Portuguese |
| Hindi |
| Spanish |
| Thai |
| Norwegian |
| Tonga |
| Malagasy |
| Tigrinya |
| Siswati |
| Occitan |
| Interlingue |
| Irish |
| Guarani |
| Kazakh |
| Burmese |
| Inupiak |
| Javanese |
| Byelorussian |
| Wolof |
| Latin |
| Bislama |
| Setswana |
| Nauru |
| Kashmiri |
| Oriya |
| Italian |
| Corsican |
| Tsonga |
| Afrikaans |
| Yoruba |
| Slovenian |
| Faeroese |
| Interlingua |
| Maori |
| Finnish |
| Volapuk |
| Aymara |
| Albanian |
| Polish |
| Xhosa |
| Bulgarian |
| Sesotho |
| Welsh |
| Hausa |
| Croatian |
| Quechua |
| English |
| Danish |
| Frisian |
| Hungarian |
| Amharic |
| Greek |
| Punjabi |
Input Table 2:
| Col_1 |
|:--------|
| HI |
| PT |
| HR |
| HU |
| HY |
| YO |
| IA |
| IE |
| AA |
| AB |
| IK |
| QU |
| AF |
| IN |
| IS |
| IT |
| AM |
| ZH |
| IW |
| AR |
| AS |
| JA |
| AY |
| AZ |
| RM |
| ZU |
| RN |
| RO |
| BA |
| JI |
| BE |
| RU |
| BG |
| RW |
| BH |
| BI |
| BN |
| JW |
| BO |
| SA |
| BR |
| SD |
| SG |
| SH |
| KA |
| SI |
| SK |
| SL |
| SM |
| SN |
| SO |
| SQ |
| CA |
| SR |
| KK |
| SS |
| KL |
| ST |
| KM |
| SU |
| KN |
| SV |
| KO |
| SW |
| KS |
| KU |
| CO |
| TA |
| KY |
| CS |
| TE |
| TG |
| TH |
| LA |
| TI |
| CY |
| TK |
| TL |
| TN |
| TO |
| DA |
| TR |
| TS |
| TT |
| DE |
| LN |
| LO |
| TW |
| LT |
| DZ |
| UK |
| MG |
| MI |
| UR |
| MK |
| ML |
| MN |
| MO |
| MR |
| UZ |
| MS |
| EL |
| MT |
| EN |
| EO |
| MY |
| ES |
| ET |
| EU |
| NA |
| VI |
| NE |
| VO |
| FA |
| NL |
| NO |
| FI |
| FJ |
| FO |
| FR |
| FY |
| OC |
| WO |
| GA |
| OR |
| GL |
| GN |
| GU |
| XH |
| PA |
| HA |
| PL |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case24", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case24", "case": "Case24", "label": [["Abkhazian", "AB"], ["Afar", "AA"], ["Afrikaans", "AF"], ["Albanian", "SQ"], ["Amharic", "AM"], ["Arabic", "AR"], ["Armenian", "HY"], ["Assamese", "AS"], ["Aymara", "AY"], ["Azerbaijani", "AZ"], ["Bashkir", "BA"], ["Basque", "EU"], ["Bengali, Bangla", "BN"], ["Bhutani", "DZ"], ["Bihari", "BH"], ["Bislama", "BI"], ["Breton", "BR"], ["Bulgarian", "BG"], ["Burmese", "MY"], ["Byelorussian", "BE"], ["Cambodian", "KM"], ["Catalan", "CA"], ["Chinese", "ZH"], ["Corsican", "CO"], ["Croatian", "HR"], ["Czech", "CS"], ["Danish", "DA"], ["Dutch", "NL"], ["English", "EN"], ["Esperanto", "EO"], ["Estonian", "ET"], ["Faeroese", "FO"], ["Fiji", "FJ"], ["Finnish", "FI"], ["French", "FR"], ["Frisian", "FY"], ["Galician", "GL"], ["Georgian", "KA"], ["German", "DE"], ["Greek", "EL"], ["Greenlandic", "KL"], ["Guarani", "GN"], ["Gujarati", "GU"], ["Hausa", "HA"], ["Hebrew", "IW"], ["Hindi", "HI"], ["Hungarian", "HU"], ["Icelandic", "IS"], ["Indonesian", "IN"], ["Interlingua", "IA"], ["Interlingue", "IE"], ["Inupiak", "IK"], ["Irish", "GA"], ["Italian", "IT"], ["Japanese", "JA"], ["Javanese", "JW"], ["Kannada", "KN"], ["Kashmiri", "KS"], ["Kazakh", "KK"], ["Kinyarwanda", "RW"], ["Kirghiz", "KY"], ["Kirundi", "RN"], ["Korean", "KO"], ["Kurdish", "KU"], ["Laothian", "LO"], ["Latin", "LA"], ["Lingala", "LN"], ["Lithuanian", "LT"], ["Macedonian", "MK"], ["Malagasy", "MG"], ["Malay", "MS"], ["Malayalam", "ML"], ["Maltese", "MT"], ["Maori", "MI"], ["Marathi", "MR"], ["Moldavian", "MO"], ["Mongolian", "MN"], ["Nauru", NaN], ["Nepali", "NE"], ["Norwegian", "NO"], ["Occitan", "OC"], ["Oriya", "OR"], ["Persian", "FA"], ["Polish", "PL"], ["Portuguese", "PT"], ["Punjabi", "PA"], ["Quechua", "QU"], ["Rhaeto-Romance", "RM"], ["Romanian", "RO"], ["Russian", "RU"], ["Samoan", "SM"], ["Sangro", "SG"], ["Sanskrit", "SA"], ["Serbian", "SR"], ["Serbo-Croatian", "SH"], ["Sesotho", "ST"], ["Setswana", "TN"], ["Shona", "SN"], ["Sindhi", "SD"], ["Singhalese", "SI"], ["Siswati", "SS"], ["Slovak", "SK"], ["Slovenian", "SL"], ["Somali", "SO"], ["Spanish", "ES"], ["Sudanese", "SU"], ["Swahili", "SW"], ["Swedish", "SV"], ["Tagalog", "TL"], ["Tajik", "TG"], ["Tamil", "TA"], ["Tatar", "TT"], ["Tegulu", "TE"], ["Thai", "TH"], ["Tibetan", "BO"], ["Tigrinya", "TI"], ["Tonga", "TO"], ["Tsonga", "TS"], ["Turkish", "TR"], ["Turkmen", "TK"], ["Twi", "TW"], ["Ukrainian", "UK"], ["Urdu", "UR"], ["Uzbek", "UZ"], ["Vietnamese", "VI"], ["Volapuk", "VO"], ["Welsh", "CY"], ["Wolof", "WO"], ["Xhosa", "XH"], ["Yiddish", "JI"], ["Yoruba", "YO"], ["Zulu", "ZU"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case24_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case24_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------|
| Brampton |
| Winnipeg |
| Vancouver |
| Calgary |
| Edmonton |
| Mississauga |
| Hamilton |
| Ottawa |
| Montreal |
| Toronto |
Input Table 2:
| Col_1 |
|:-----------------|
| Manitoba |
| Alberta |
| Quebec |
| British Columbia |
| Ontario |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case41", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case41", "case": "Case41", "label": [["Toronto", "Ontario"], ["Montreal", "Quebec"], ["Calgary", "Alberta"], ["Ottawa", "Ontario"], ["Edmonton", "Alberta"], ["Mississauga", "Ontario"], ["Winnipeg", "Manitoba"], ["Vancouver", "British Columbia"], ["Brampton", "Ontario"], ["Hamilton", "Ontario"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case41_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case41_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------|
| Martin Van Buren |
| George Washington |
| John Adams |
| John Quincy Adams |
| Dwight D. Eisenhower |
| Herbert Hoover |
| James A. Garfield |
| Bill Clinton |
| John F. Kennedy |
| Gerald R. Ford |
| George W. Bush |
| Franklin D. Roosevelt |
| Jimmy Carter |
| James Madison |
| Andrew Johnson |
| Rutherford Birchard Hayes |
| Ulysses S. Grant |
| Andrew Jackson |
| Ronald Reagan |
| Grover Cleveland |
| Chester A. Arthur |
| Warren G. Harding |
| Benjamin Harrison |
| Richard M. Nixon |
| Millard Fillmore |
| Franklin Pierce |
| Abraham Lincoln |
| Barack Obama |
| Harry S. Truman |
| William McKinley |
| Theodore Roosevelt |
| Lyndon B. Johnson |
| George Bush |
Input Table 2:
| Col_1 |
|:----------------------------------------------------|
| Ida Saxton McKinley |
| Mamie Doud Eisenhower |
| Eleanor Roosevelt |
| Lady Bird Johnson |
| Caroline Lavinia Scott Harrison; Mary Lord Harrison |
| Laura Bush |
| Mary Todd Lincoln |
| Frances Folsom Cleveland |
| Ellen Lewis Herndon Arthur |
| Eliza McCardle Johnson |
| Jane M. Pierce |
| Nancy Reagan |
| Lucy Webb Hayes |
| Edith Kermit Carow Roosevelt |
| Lou Henry Hoover |
| Jacqueline Kennedy Onassis |
| Michelle Obama |
| Pat Nixon |
| Abigail Adams |
| Hannah Hoes Van Buren |
| Bess Wallace Truman |
| Rachel Jackson |
| Betty Ford |
| Dolley Madison |
| Martha Washington |
| Florence Kling Harding |
| Hillary Rodham Clinton |
| Abigail Powers Fillmore |
| Lucretia Rudolph Garfield |
| Rosalynn Carter |
| Barbara Bush |
| Louisa Catherine Adams |
| Julia Dent Grant |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case46", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case46", "case": "Case46", "label": [["George Washington", "Martha Washington"], ["John Adams", "Abigail Adams"], ["James Madison", "Dolley Madison"], ["John Quincy Adams", "Louisa Catherine Adams"], ["Andrew Jackson", "Rachel Jackson"], ["Martin Van Buren", "Hannah Hoes Van Buren"], ["Millard Fillmore", "Abigail Powers Fillmore"], ["Franklin Pierce", "Jane M. Pierce"], ["Abraham Lincoln", "Mary Todd Lincoln"], ["Andrew Johnson", "Eliza McCardle Johnson"], ["Ulysses S. Grant", "Julia Dent Grant"], ["Rutherford Birchard Hayes", "Lucy Webb Hayes"], ["James A. Garfield", "Lucretia Rudolph Garfield"], ["Chester A. Arthur", "Ellen Lewis Herndon Arthur"], ["Grover Cleveland", "Frances Folsom Cleveland"], ["Benjamin Harrison", "Caroline Lavinia Scott Harrison; Mary Lord Harrison"], ["Grover Cleveland", "Frances Folsom Cleveland"], ["William McKinley", "Ida Saxton McKinley"], ["Theodore Roosevelt", "Edith Kermit Carow Roosevelt"], ["Warren G. Harding", "Florence Kling Harding"], ["Herbert Hoover", "Lou Henry Hoover"], ["Franklin D. Roosevelt", "Eleanor Roosevelt"], ["Harry S. Truman", "Bess Wallace Truman"], ["Dwight D. Eisenhower", "Mamie Doud Eisenhower"], ["John F. Kennedy", "Jacqueline Kennedy Onassis"], ["Lyndon B. Johnson", "Lady Bird Johnson"], ["Richard M. Nixon", "Pat Nixon"], ["Gerald R. Ford", "Betty Ford"], ["Jimmy Carter", "Rosalynn Carter"], ["Ronald Reagan", "Nancy Reagan"], ["George Bush", "Barbara Bush"], ["Bill Clinton", "Hillary Rodham Clinton"], ["George W. Bush", "Laura Bush"], ["Barack Obama", "Michelle Obama"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case46_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case46_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| Ac |
| Ag |
| Al |
| Am |
| Ar |
| As |
| At |
| Au |
| B |
| Ba |
| Be |
| Bh |
| Bi |
| Bk |
| Br |
| C |
| Ca |
| Cd |
| Ce |
| Cf |
| Cl |
| Cm |
| Co |
| Cr |
| Cs |
| Cu |
| Db |
| Ds |
| Dy |
| Er |
| Es |
| Eu |
| F |
| Fe |
| Fm |
| Fr |
| Ga |
| Gd |
| Ge |
| H |
| He |
| Hf |
| Hg |
| Ho |
| Hs |
| I |
| In |
| Ir |
| K |
| Kr |
| La |
| Li |
| Lr |
| Lu |
| Md |
| Mg |
| Mn |
| Mo |
| Mt |
| N |
| Na |
| Nb |
| Nd |
| Ne |
| Ni |
| No |
| Np |
| O |
| Os |
| P |
| Pa |
| Pb |
| Pd |
| Pm |
| Po |
| Pr |
| Pt |
| Pu |
| Ra |
| Rb |
| Re |
| Rf |
| Rg |
| Rh |
| Rn |
| Ru |
| S |
| Sb |
| Sc |
| Se |
| Sg |
| Si |
| Sm |
| Sn |
| Sr |
| Ta |
| Tb |
| Tc |
| Te |
| Th |
| Ti |
| Tl |
| Tm |
| U |
| Uub |
| Uuh |
| Uuo |
| Uup |
| Uuq |
| Uus |
| Uut |
| V |
| W |
| Xe |
| Y |
| Yb |
| Zn |
| Zr |
Input Table 2:
| Col_1 |
|:--------------|
| Actinium |
| Silver |
| Aluminium |
| Americium |
| Argon |
| Arsenic |
| Astatine |
| Gold |
| Boron |
| Barium |
| Beryllium |
| Bohrium |
| Bismuth |
| Berkelium |
| Bromine |
| Carbon |
| Calcium |
| Cadmium |
| Cerium |
| Californium |
| Chlorine |
| Curium |
| Cobalt |
| Chromium |
| Caesium |
| Copper |
| Dubnium |
| Darmstadtium |
| Dysprosium |
| Erbium |
| Einsteinium |
| Europium |
| Fluorine |
| Iron |
| Fermium |
| Francium |
| Gallium |
| Gadolinium |
| Germanium |
| Hydrogen |
| Helium |
| Hafnium |
| Mercury |
| Holmium |
| Hassium |
| Iodine |
| Indium |
| Iridium |
| Potassium |
| Krypton |
| Lanthanum |
| Lithium |
| Lawrencium |
| Lutetium |
| Mendelevium |
| Magnesium |
| Manganese |
| Molybdenum |
| Meitnerium |
| Nitrogen |
| Sodium |
| Niobium |
| Neodymium |
| Neon |
| Nickel |
| Nobelium |
| Neptunium |
| Oxygen |
| Osmium |
| Phosphorus |
| Protactinium |
| Lead |
| Palladium |
| Promethium |
| Polonium |
| Praseodymium |
| Platinum |
| Plutonium |
| Radium |
| Rubidium |
| Rhenium |
| Rutherfordium |
| Roentgenium |
| Rhodium |
| Radon |
| Ruthenium |
| Sulphur |
| Antimony |
| Scandium |
| Selenium |
| Seaborgium |
| Silicon |
| Samarium |
| Tin |
| Strontium |
| Tantalum |
| Terbium |
| Technetium |
| Tellurium |
| Thorium |
| Titanium |
| Thallium |
| Thulium |
| Uranium |
| Ununbium |
| Ununhexium |
| Ununoctium |
| Ununpentium |
| Ununquadium |
| Ununseptium |
| Ununtrium |
| Vanadium |
| Tungsten |
| Xenon |
| Yttrium |
| Ytterbium |
| Zinc |
| Zirconium |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case3", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case3", "case": "Case3", "label": [["Ac", "Actinium"], ["Ag", "Silver"], ["Al", "Aluminium"], ["Am", "Americium"], ["Ar", "Argon"], ["As", "Arsenic"], ["At", "Astatine"], ["Au", "Gold"], ["B", "Boron"], ["Ba", "Barium"], ["Be", "Beryllium"], ["Bh", "Bohrium"], ["Bi", "Bismuth"], ["Bk", "Berkelium"], ["Br", "Bromine"], ["C", "Carbon"], ["Ca", "Calcium"], ["Cd", "Cadmium"], ["Ce", "Cerium"], ["Cf", "Californium"], ["Cl", "Chlorine"], ["Cm", "Curium"], ["Co", "Cobalt"], ["Cr", "Chromium"], ["Cs", "Caesium"], ["Cu", "Copper"], ["Db", "Dubnium"], ["Ds", "Darmstadtium"], ["Dy", "Dysprosium"], ["Er", "Erbium"], ["Es", "Einsteinium"], ["Eu", "Europium"], ["F", "Fluorine"], ["Fe", "Iron"], ["Fm", "Fermium"], ["Fr", "Francium"], ["Ga", "Gallium"], ["Gd", "Gadolinium"], ["Ge", "Germanium"], ["H", "Hydrogen"], ["He", "Helium"], ["Hf", "Hafnium"], ["Hg", "Mercury"], ["Ho", "Holmium"], ["Hs", "Hassium"], ["I", "Iodine"], ["In", "Indium"], ["Ir", "Iridium"], ["K", "Potassium"], ["Kr", "Krypton"], ["La", "Lanthanum"], ["Li", "Lithium"], ["Lr", "Lawrencium"], ["Lu", "Lutetium"], ["Md", "Mendelevium"], ["Mg", "Magnesium"], ["Mn", "Manganese"], ["Mo", "Molybdenum"], ["Mt", "Meitnerium"], ["N", "Nitrogen"], ["Na", "Sodium"], ["Nb", "Niobium"], ["Nd", "Neodymium"], ["Ne", "Neon"], ["Ni", "Nickel"], ["No", "Nobelium"], ["Np", "Neptunium"], ["O", "Oxygen"], ["Os", "Osmium"], ["P", "Phosphorus"], ["Pa", "Protactinium"], ["Pb", "Lead"], ["Pd", "Palladium"], ["Pm", "Promethium"], ["Po", "Polonium"], ["Pr", "Praseodymium"], ["Pt", "Platinum"], ["Pu", "Plutonium"], ["Ra", "Radium"], ["Rb", "Rubidium"], ["Re", "Rhenium"], ["Rf", "Rutherfordium"], ["Rg", "Roentgenium"], ["Rh", "Rhodium"], ["Rn", "Radon"], ["Ru", "Ruthenium"], ["S", "Sulphur"], ["Sb", "Antimony"], ["Sc", "Scandium"], ["Se", "Selenium"], ["Sg", "Seaborgium"], ["Si", "Silicon"], ["Sm", "Samarium"], ["Sn", "Tin"], ["Sr", "Strontium"], ["Ta", "Tantalum"], ["Tb", "Terbium"], ["Tc", "Technetium"], ["Te", "Tellurium"], ["Th", "Thorium"], ["Ti", "Titanium"], ["Tl", "Thallium"], ["Tm", "Thulium"], ["U", "Uranium"], ["Uub", "Ununbium"], ["Uuh", "Ununhexium"], ["Uuo", "Ununoctium"], ["Uup", "Ununpentium"], ["Uuq", "Ununquadium"], ["Uus", "Ununseptium"], ["Uut", "Ununtrium"], ["V", "Vanadium"], ["W", "Tungsten"], ["Xe", "Xenon"], ["Y", "Yttrium"], ["Yb", "Ytterbium"], ["Zn", "Zinc"], ["Zr", "Zirconium"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case3_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case3_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------|
| August Wilson Theatre |
| St James Theatre |
| Broadway Theatre |
| Belasco Theatre |
| Shubert Theatre |
| Bernard B Jacobs Theatre |
| Gershwin Theatre |
| Nederlander Theatre |
| Al Hirschfeld Theatre |
| Walter Kerr Theatre |
| Cadillac Winter Garden Theatre |
| Circle In The Square Theatre |
| Music Box Theatre |
| Ethel Barrymore Theatre |
| Gerald Schoenfeld Theatre |
| Longacre Theatre |
| Samuel J Friedman Theatre |
| Vivian Beaumont Theatre |
| New Amsterdam Theatre |
| Lunt Fontanne Theatre |
| Booth Theatre |
| Cort Theatre |
| Minskoff Theatre |
| Palace Theatre |
| American Airlines Theatre |
| Lyric Theatre |
| John Golden Theatre |
| Helen Hayes Theatre |
| Imperial Theatre |
| Lyceum Theatre |
| Broadhurst Theatre |
| Neil Simon Theatre |
| Majestic Theatre |
| Marquis Theatre |
| Richard Rodgers Theatre |
| Brooks Atkinson Theatre |
| Ambassador Theatre |
Input Table 2:
| Col_1 |
|:--------------------------------|
| Circle in the Square |
| Manhattan; Theatre; Club |
| Nederlander Organization |
| Disney; Theatrical; Productions |
| Lincoln Center Theater |
| Shubert Organization |
| Second Stage |
| Clear Channel |
| Jujamcyn Theaters |
| Roundabout Theatre; Company |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case48", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case48", "case": "Case48", "label": [["Al Hirschfeld Theatre", "Jujamcyn Theaters"], ["Ambassador Theatre", "Shubert Organization"], ["American Airlines Theatre", "Roundabout Theatre; Company"], ["August Wilson Theatre", "Jujamcyn Theaters"], ["Belasco Theatre", "Shubert Organization"], ["Bernard B Jacobs Theatre", "Shubert Organization"], ["Booth Theatre", "Shubert Organization"], ["Broadhurst Theatre", "Shubert Organization"], ["Broadway Theatre", "Shubert Organization"], ["Brooks Atkinson Theatre", "Nederlander Organization"], ["Cadillac Winter Garden Theatre", "Shubert Organization"], ["Circle In The Square Theatre", "Circle in the Square"], ["Cort Theatre", "Shubert Organization"], ["Ethel Barrymore Theatre", "Shubert Organization"], ["Gerald Schoenfeld Theatre", "Shubert Organization"], ["Gershwin Theatre", "Nederlander Organization"], ["Helen Hayes Theatre", "Second Stage"], ["Imperial Theatre", "Shubert Organization"], ["John Golden Theatre", "Shubert Organization"], ["Longacre Theatre", "Shubert Organization"], ["Lunt Fontanne Theatre", "Nederlander Organization"], ["Lyceum Theatre", "Shubert Organization"], ["Lyric Theatre", "Clear Channel"], ["Majestic Theatre", "Shubert Organization"], ["Marquis Theatre", "Nederlander Organization"], ["Minskoff Theatre", "Nederlander Organization"], ["Music Box Theatre", "Shubert Organization"], ["Nederlander Theatre", "Nederlander Organization"], ["Neil Simon Theatre", "Nederlander Organization"], ["New Amsterdam Theatre", "Disney; Theatrical; Productions"], ["Palace Theatre", "Nederlander Organization"], ["Richard Rodgers Theatre", "Nederlander Organization"], ["Samuel J Friedman Theatre", "Manhattan; Theatre; Club"], ["Shubert Theatre", "Shubert Organization"], ["St James Theatre", "Jujamcyn Theaters"], ["Vivian Beaumont Theatre", "Lincoln Center Theater"], ["Walter Kerr Theatre", "Jujamcyn Theaters"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case48_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case48_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------|
| Larry Page |
| David Koch |
| Amancio Ortega |
| Charles Koch |
| Carlos Slim Helu |
| Warren Buffett |
| Jeff Bezos |
| Stefan Persson |
| Larry Ellison |
| Li Ka-shing |
| Jim Walton |
| Christy Walton |
| S. Robson Walton |
| Michael Bloomberg |
| Liliane Bettencourt |
| Sheldon Adelson |
| Alice Walton |
| Bernard Arnault |
| Bill Gates |
| Sergey Brin |
Input Table 2:
| Col_1 |
|:-------------------|
| Google |
| L’Oreal |
| LVMH |
| Diversified |
| H&M |
| Telecom |
| Retail |
| Walmart |
| Casinos |
| Bloomberg LP |
| Microsoft |
| Oracle |
| Amazon |
| Berkshire Hathaway |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case37", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case37", "case": "Case37", "label": [["Bill Gates", "Microsoft"], ["Carlos Slim Helu", "Telecom"], ["Amancio Ortega", "Retail"], ["Warren Buffett", "Berkshire Hathaway"], ["Larry Ellison", "Oracle"], ["Charles Koch", "Diversified"], ["David Koch", "Diversified"], ["Sheldon Adelson", "Casinos"], ["Christy Walton", "Walmart"], ["Jim Walton", "Walmart"], ["Liliane Bettencourt", "L\u2019Oreal"], ["Stefan Persson", "H&M"], ["Alice Walton", "Walmart"], ["S. Robson Walton", "Walmart"], ["Bernard Arnault", "LVMH"], ["Michael Bloomberg", "Bloomberg LP"], ["Larry Page", "Google"], ["Jeff Bezos", "Amazon"], ["Sergey Brin", "Google"], ["Li Ka-shing", "Diversified"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case37_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case37_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------------|
| BAIC |
| Chrysler |
| Suzuki |
| China National Heavy Duty Truck |
| AvtoVAZ |
| Shannxi |
| Hyundai |
| Tata |
| PSA |
| Chery |
| Mazda |
| Navistar |
| Paccar |
| Sichuan Nanjun |
| Daimler AG |
| South East (Fujian) |
| Guangzhou Auto Industry |
| Chongqing Lifan Motor Co |
| Toyota |
| Tangjun Ou Ling |
| Brilliance |
| GAZ |
| Volkswagen |
| Volvo |
| Hunan Jiangnan Automobile Manufacturing Co |
| Hebei Zhongxing |
| BYD |
| Honda |
| SAIC |
| Fuji |
| UAZ |
| Dongfeng Motor |
| Xiamen King Long |
| Proton |
| Porsche |
| Isuzu |
| Ashok Leyland |
| Changan |
| Renault |
| Geely |
| GM |
| Mitsubishi |
| BMW |
| JAC |
| Mahindra |
| Great Wall |
| Fiat |
| Ford |
| FAW |
| Nissan |
Input Table 2:
| Col_1 |
|:--------------|
| South Korea |
| Sweden |
| United States |
| Japan |
| China |
| Italy |
| Malaysia |
| France |
| Germany |
| India |
| Russia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case34", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case34", "case": "Case34", "label": [["Toyota", "Japan"], ["GM", "United States"], ["Volkswagen", "Germany"], ["Hyundai", "South Korea"], ["Ford", "United States"], ["Nissan", "Japan"], ["Honda", "Japan"], ["PSA", "France"], ["Suzuki", "Japan"], ["Renault", "France"], ["Chrysler", "United States"], ["Daimler AG", "Germany"], ["Fiat", "Italy"], ["BMW", "Germany"], ["SAIC", "China"], ["Tata", "India"], ["Mazda", "Japan"], ["Dongfeng Motor", "China"], ["Mitsubishi", "Japan"], ["Changan", "China"], ["Geely", "China"], ["Fuji", "Japan"], ["BAIC", "China"], ["FAW", "China"], ["Great Wall", "China"], ["Mahindra", "India"], ["Isuzu", "Japan"], ["Chery", "China"], ["AvtoVAZ", "Russia"], ["Brilliance", "China"], ["JAC", "China"], ["BYD", "China"], ["Chongqing Lifan Motor Co", "China"], ["Volvo", "Sweden"], ["Proton", "Malaysia"], ["China National Heavy Duty Truck", "China"], ["Paccar", "United States"], ["GAZ", "Russia"], ["Ashok Leyland", "India"], ["Hunan Jiangnan Automobile Manufacturing Co", "China"], ["Guangzhou Auto Industry", "China"], ["Shannxi", "China"], ["Porsche", "Germany"], ["South East (Fujian)", "China"], ["Navistar", "United States"], ["Xiamen King Long", "China"], ["UAZ", "Russia"], ["Tangjun Ou Ling", "China"], ["Hebei Zhongxing", "China"], ["Sichuan Nanjun", "China"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case34_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case34_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Papua New Guinea |
| Cambodia |
| Kazakhstan |
| Paraguay |
| Syria |
| Bahamas |
| Solomon Islands |
| Montserrat |
| Mali |
| Marshall Islands |
| Panama |
| Laos |
| Argentina |
| Falkland Islands |
| Seychelles |
| Belize |
| Zambia |
| Bahrain |
| Guinea-Bissau |
| Saint Barthelemy |
| Namibia |
| Comoros |
| Faroe Islands |
| Finland |
| Netherlands Antilles |
| Georgia |
| Saint Kitts and Nevis |
| Yemen |
| Eritrea |
| Puerto Rico |
| Holy See (Vatican City) |
| Aruba |
| Madagascar |
| Ivory Coast |
| Libya |
| Saint Martin |
| Sweden |
| Cocos (Keeling) Islands |
| Malawi |
| Andorra |
| Liechtenstein |
| Poland |
| Svalbard |
| Bulgaria |
| Jordan |
| Tunisia |
| Tuvalu |
| United Arab Emirates |
| Kenya |
| French Polynesia |
| Brunei |
| Djibouti |
| Lebanon |
| Azerbaijan |
| Cuba |
| Czech Republic |
| Mauritania |
| Saint Lucia |
| Mayotte |
| Israel |
| San Marino |
| Australia |
| Tajikistan |
| Cameroon |
| Gibraltar |
| Cyprus |
| Northern Mariana Islands |
| Malaysia |
| Iceland |
| Oman |
| Armenia |
| Gabon |
| Luxembourg |
| Brazil |
| Turks and Caicos Islands |
| Algeria |
| Jersey |
| Slovenia |
| Republic of the Congo |
| Antigua and Barbuda |
| Colombia |
| Ecuador |
| Moldova |
| Vanuatu |
| Honduras |
| Italy |
| Antarctica |
| Burma (Myanmar) |
| Nauru |
| Haiti |
| Afghanistan |
| Burundi |
| Singapore |
| American Samoa |
| Christmas Island |
| Russia |
| Netherlands |
| China |
| Saint Pierre and Miquelon |
| Kyrgyzstan |
| Bhutan |
| Romania |
| Togo |
| Philippines |
| Uzbekistan |
| British Virgin Islands |
| Zimbabwe |
| British Indian Ocean Territory |
| Montenegro |
| Dominica |
| Indonesia |
| Benin |
| Angola |
| Sudan |
| Portugal |
| New Caledonia |
| Grenada |
| North Korea |
| Cayman Islands |
| Greece |
| Latvia |
| Mongolia |
| Iran |
| Morocco |
| Guatemala |
| Guyana |
| Iraq |
| Chile |
| Nepal |
| Isle of Man |
| Tanzania |
| Ukraine |
| Ghana |
| Anguilla |
| India |
| Canada |
| Maldives |
| Turkey |
| Belgium |
| Taiwan |
| South Africa |
| Trinidad and Tobago |
| Bermuda |
| Central African Republic |
| Democratic Republic of the Congo |
| Jamaica |
| Peru |
| Turkmenistan |
| Germany |
| Fiji |
| Tokelau |
| Hong Kong |
| Guinea |
| United States |
| Chad |
| Somalia |
| Sao Tome and Principe |
| Pitcairn Islands |
| Thailand |
| Equatorial Guinea |
| Kiribati |
| Costa Rica |
| Vietnam |
| Kuwait |
| Nigeria |
| Croatia |
| Cook Islands |
| Sri Lanka |
| Uruguay |
| Timor-Leste |
| United Kingdom |
| Switzerland |
| Samoa |
| Spain |
| Liberia |
| Venezuela |
| Burkina Faso |
| Swaziland |
| Palau |
| Estonia |
| Wallis and Futuna |
| Niue |
| Austria |
| South Korea |
| Mozambique |
| El Salvador |
| Monaco |
| Guam |
| Lesotho |
| Tonga |
| Western Sahara |
| Hungary |
| Japan |
| Belarus |
| Mauritius |
| Albania |
| Norfolk Island |
| New Zealand |
| Senegal |
| Macedonia |
| Ethiopia |
| US Virgin Islands |
| Egypt |
| Macau |
| Sierra Leone |
| Bolivia |
| Malta |
| Saudi Arabia |
| Cape Verde |
| Pakistan |
| Gambia |
| Ireland |
| Qatar |
| Slovakia |
| France |
| Lithuania |
| Serbia |
| Bosnia and Herzegovina |
| Niger |
| Rwanda |
| Bangladesh |
| Barbados |
| Nicaragua |
| Norway |
| Botswana |
| Saint Vincent and the Grenadines |
| Denmark |
| Dominican Republic |
| Mexico |
| Uganda |
| Micronesia |
| Suriname |
| Greenland |
| Saint Helena |
Input Table 2:
| Col_1 |
|:--------|
| NZL |
| FJI |
| PNG |
| STP |
| MHL |
| WLF |
| CUB |
| SDN |
| GMB |
| MYS |
| MYT |
| TWN |
| POL |
| OMN |
| SUR |
| ARE |
| KEN |
| ARG |
| GNB |
| ARM |
| UZB |
| BTN |
| SEN |
| TGO |
| IRL |
| FLK |
| IRN |
| QAT |
| BDI |
| NLD |
| IRQ |
| SVK |
| SVN |
| GNQ |
| THA |
| ABW |
| ASM |
| SWE |
| MKD |
| BEL |
| ISR |
| KWT |
| LIE |
| DZA |
| BEN |
| ATA |
| RUS |
| ATG |
| ITA |
| SWZ |
| TZA |
| PAK |
| BFA |
| CXR |
| PAN |
| SGP |
| UKR |
| JEY |
| KGZ |
| CHE |
| DJI |
| CHL |
| PRI |
| CHN |
| PRK |
| MLI |
| BWA |
| HRV |
| KHM |
| IDN |
| PRT |
| MLT |
| TJK |
| VNM |
| CYM |
| PRY |
| SHN |
| CYP |
| SYC |
| RWA |
| BGD |
| AUS |
| AUT |
| LKA |
| GAB |
| ZWE |
| BGR |
| SYR |
| CZE |
| NOR |
| CIV |
| MMR |
| TKL |
| KIR |
| TKM |
| GRD |
| GRC |
| PCN |
| HTI |
| GRL |
| YEM |
| AFG |
| MNE |
| MNG |
| NPL |
| BHS |
| BHR |
| MNP |
| GBR |
| SJM |
| DMA |
| TLS |
| BIH |
| HUN |
| AGO |
| WSM |
| FRA |
| MOZ |
| NAM |
| PER |
| DNK |
| GTM |
| FRO |
| VAT |
| SLB |
| SLE |
| NRU |
| AIA |
| SLV |
| GUM |
| FSM |
| DOM |
| CMR |
| GUY |
| IS |
| AZE |
| MAC |
| GEO |
| TON |
| MAF |
| NCL |
| SMR |
| ERI |
| MAR |
| KNA |
| BLM |
| VCT |
| BLR |
| MRT |
| BLZ |
| PHL |
| COD |
| COG |
| ESH |
| PYF |
| URY |
| COK |
| COM |
| COL |
| USA |
| ESP |
| EST |
| BMU |
| MSR |
| ZMB |
| KOR |
| SOM |
| VUT |
| ECU |
| ALB |
| ETH |
| MCO |
| NER |
| LAO |
| VEN |
| GHA |
| CPV |
| MDA |
| MDG |
| SPM |
| NFK |
| LBN |
| LBR |
| BOL |
| MDV |
| GIB |
| LBY |
| HKG |
| CAF |
| LSO |
| NGA |
| MUS |
| IMN |
| LCA |
| JOR |
| GIN |
| VGB |
| CAN |
| TCA |
| TCD |
| CRC |
| AND |
| ROU |
| IND |
| MEX |
| SRB |
| KAZ |
| SAU |
| ANT |
| JPN |
| LTU |
| TTO |
| PLW |
| MWI |
| NIC |
| CCK |
| FIN |
| TUN |
| LUX |
| UGA |
| IOT |
| BRA |
| TUR |
| BRB |
| TUV |
| DEU |
| EGY |
| LVA |
| JAM |
| NIU |
| ZAF |
| VIR |
| BRN |
| HND |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case15", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case15", "case": "Case15", "label": [["Afghanistan", "AFG"], ["Albania", "ALB"], ["Algeria", "DZA"], ["American Samoa", "ASM"], ["Andorra", "AND"], ["Angola", "AGO"], ["Anguilla", "AIA"], ["Antarctica", "ATA"], ["Antigua and Barbuda", "ATG"], ["Argentina", "ARG"], ["Armenia", "ARM"], ["Aruba", "ABW"], ["Australia", "AUS"], ["Austria", "AUT"], ["Azerbaijan", "AZE"], ["Bahamas", "BHS"], ["Bahrain", "BHR"], ["Bangladesh", "BGD"], ["Barbados", "BRB"], ["Belarus", "BLR"], ["Belgium", "BEL"], ["Belize", "BLZ"], ["Benin", "BEN"], ["Bermuda", "BMU"], ["Bhutan", "BTN"], ["Bolivia", "BOL"], ["Bosnia and Herzegovina", "BIH"], ["Botswana", "BWA"], ["Brazil", "BRA"], ["British Indian Ocean Territory", "IOT"], ["British Virgin Islands", "VGB"], ["Brunei", "BRN"], ["Bulgaria", "BGR"], ["Burkina Faso", "BFA"], ["Burma (Myanmar)", "MMR"], ["Burundi", "BDI"], ["Cambodia", "KHM"], ["Cameroon", "CMR"], ["Canada", "CAN"], ["Cape Verde", "CPV"], ["Cayman Islands", "CYM"], ["Central African Republic", "CAF"], ["Chad", "TCD"], ["Chile", "CHL"], ["China", "CHN"], ["Christmas Island", "CXR"], ["Cocos (Keeling) Islands", "CCK"], ["Colombia", "COL"], ["Comoros", "COM"], ["Cook Islands", "COK"], ["Costa Rica", "CRC"], ["Croatia", "HRV"], ["Cuba", "CUB"], ["Cyprus", "CYP"], ["Czech Republic", "CZE"], ["Democratic Republic of the Congo", "COD"], ["Denmark", "DNK"], ["Djibouti", "DJI"], ["Dominica", "DMA"], ["Dominican Republic", "DOM"], ["Ecuador", "ECU"], ["Egypt", "EGY"], ["El Salvador", "SLV"], ["Equatorial Guinea", "GNQ"], ["Eritrea", "ERI"], ["Estonia", "EST"], ["Ethiopia", "ETH"], ["Falkland Islands", "FLK"], ["Faroe Islands", "FRO"], ["Fiji", "FJI"], ["Finland", "FIN"], ["France", "FRA"], ["French Polynesia", "PYF"], ["Gabon", "GAB"], ["Gambia", "GMB"], ["Georgia", "GEO"], ["Germany", "DEU"], ["Ghana", "GHA"], ["Gibraltar", "GIB"], ["Greece", "GRC"], ["Greenland", "GRL"], ["Grenada", "GRD"], ["Guam", "GUM"], ["Guatemala", "GTM"], ["Guinea", "GIN"], ["Guinea-Bissau", "GNB"], ["Guyana", "GUY"], ["Haiti", "HTI"], ["Holy See (Vatican City)", "VAT"], ["Honduras", "HND"], ["Hong Kong", "HKG"], ["Hungary", "HUN"], ["Iceland", "IS"], ["India", "IND"], ["Indonesia", "IDN"], ["Iran", "IRN"], ["Iraq", "IRQ"], ["Ireland", "IRL"], ["Isle of Man", "IMN"], ["Israel", "ISR"], ["Italy", "ITA"], ["Ivory Coast", "CIV"], ["Jamaica", "JAM"], ["Japan", "JPN"], ["Jersey", "JEY"], ["Jordan", "JOR"], ["Kazakhstan", "KAZ"], ["Kenya", "KEN"], ["Kiribati", "KIR"], ["Kuwait", "KWT"], ["Kyrgyzstan", "KGZ"], ["Laos", "LAO"], ["Latvia", "LVA"], ["Lebanon", "LBN"], ["Lesotho", "LSO"], ["Liberia", "LBR"], ["Libya", "LBY"], ["Liechtenstein", "LIE"], ["Lithuania", "LTU"], ["Luxembourg", "LUX"], ["Macau", "MAC"], ["Macedonia", "MKD"], ["Madagascar", "MDG"], ["Malawi", "MWI"], ["Malaysia", "MYS"], ["Maldives", "MDV"], ["Mali", "MLI"], ["Malta", "MLT"], ["Marshall Islands", "MHL"], ["Mauritania", "MRT"], ["Mauritius", "MUS"], ["Mayotte", "MYT"], ["Mexico", "MEX"], ["Micronesia", "FSM"], ["Moldova", "MDA"], ["Monaco", "MCO"], ["Mongolia", "MNG"], ["Montenegro", "MNE"], ["Montserrat", "MSR"], ["Morocco", "MAR"], ["Mozambique", "MOZ"], ["Namibia", "NAM"], ["Nauru", "NRU"], ["Nepal", "NPL"], ["Netherlands", "NLD"], ["Netherlands Antilles", "ANT"], ["New Caledonia", "NCL"], ["New Zealand", "NZL"], ["Nicaragua", "NIC"], ["Niger", "NER"], ["Nigeria", "NGA"], ["Niue", "NIU"], ["Norfolk Island", "NFK"], ["North Korea", "PRK"], ["Northern Mariana Islands", "MNP"], ["Norway", "NOR"], ["Oman", "OMN"], ["Pakistan", "PAK"], ["Palau", "PLW"], ["Panama", "PAN"], ["Papua New Guinea", "PNG"], ["Paraguay", "PRY"], ["Peru", "PER"], ["Philippines", "PHL"], ["Pitcairn Islands", "PCN"], ["Poland", "POL"], ["Portugal", "PRT"], ["Puerto Rico", "PRI"], ["Qatar", "QAT"], ["Republic of the Congo", "COG"], ["Romania", "ROU"], ["Russia", "RUS"], ["Rwanda", "RWA"], ["Saint Barthelemy", "BLM"], ["Saint Helena", "SHN"], ["Saint Kitts and Nevis", "KNA"], ["Saint Lucia", "LCA"], ["Saint Martin", "MAF"], ["Saint Pierre and Miquelon", "SPM"], ["Saint Vincent and the Grenadines", "VCT"], ["Samoa", "WSM"], ["San Marino", "SMR"], ["Sao Tome and Principe", "STP"], ["Saudi Arabia", "SAU"], ["Senegal", "SEN"], ["Serbia", "SRB"], ["Seychelles", "SYC"], ["Sierra Leone", "SLE"], ["Singapore", "SGP"], ["Slovakia", "SVK"], ["Slovenia", "SVN"], ["Solomon Islands", "SLB"], ["Somalia", "SOM"], ["South Africa", "ZAF"], ["South Korea", "KOR"], ["Spain", "ESP"], ["Sri Lanka", "LKA"], ["Sudan", "SDN"], ["Suriname", "SUR"], ["Svalbard", "SJM"], ["Swaziland", "SWZ"], ["Sweden", "SWE"], ["Switzerland", "CHE"], ["Syria", "SYR"], ["Taiwan", "TWN"], ["Tajikistan", "TJK"], ["Tanzania", "TZA"], ["Thailand", "THA"], ["Timor-Leste", "TLS"], ["Togo", "TGO"], ["Tokelau", "TKL"], ["Tonga", "TON"], ["Trinidad and Tobago", "TTO"], ["Tunisia", "TUN"], ["Turkey", "TUR"], ["Turkmenistan", "TKM"], ["Turks and Caicos Islands", "TCA"], ["Tuvalu", "TUV"], ["Uganda", "UGA"], ["Ukraine", "UKR"], ["United Arab Emirates", "ARE"], ["United Kingdom", "GBR"], ["United States", "USA"], ["Uruguay", "URY"], ["US Virgin Islands", "VIR"], ["Uzbekistan", "UZB"], ["Vanuatu", "VUT"], ["Venezuela", "VEN"], ["Vietnam", "VNM"], ["Wallis and Futuna", "WLF"], ["Western Sahara", "ESH"], ["Yemen", "YEM"], ["Zambia", "ZMB"], ["Zimbabwe", "ZWE"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case15_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case15_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------|
| San Francisco 49ers |
| Houston Texans |
| Minnesota Vikings |
| Oakland Raiders |
| Philadelphia Eagles |
| Arizona Cardinals |
| Washington Redskins |
| New York Giants |
| San Diego Chargers |
| Atlanta Falcons |
| Kansas City Chiefs |
| Buffalo Bills |
| New Orleans Saints |
| Jacksonville Jaguars |
| Tampa Bay Buccaneers |
| Baltimore Ravens |
| Dallas Cowboys |
| Green Bay Packers |
| Cincinnati Bengals |
| New York Jets |
| Seattle Seahawks |
| Pittsburgh Steelers |
| Denver Broncos |
| Carolina Panthers |
| New England Patriots |
| St. Louis Rams |
| Miami Dolphins |
| Indianapolis Colts |
| Cleveland Browns |
| Chicago Bears |
| Tennessee Titans |
| Detroit Lions |
Input Table 2:
| Col_1 |
|:------------------------------------|
| Bank of America Stadium |
| Ford Field |
| LP Field |
| Edward Jones Dome |
| Lambeau Field |
| EverBank Field |
| Heinz Field |
| Arrowhead Stadium |
| Lincoln Financial Field |
| Gillette Stadium |
| Hubert H. Humphrey Metrodome |
| Paul Brown Stadium |
| Candlestick Park |
| Sun Life Stadium |
| Soldier Field |
| Ralph Wilson Stadium |
| Raymond James Stadium |
| University of Phoenix Stadium |
| Georgia Dome |
| Cleveland Brown Stadium |
| M&T Bank Stadium |
| CenturyLink Field |
| Cowboys Stadium |
| Sports Authority Field at Mile High |
| Mercedes-Benz Superdome |
| FedEx Field |
| Reliant Stadium |
| O.co Coliseum |
| MetLife Stadium |
| Lucas Oil Stadium |
| Qualcomm Stadium |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case33", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case33", "case": "Case33", "label": [["Washington Redskins", "FedEx Field"], ["New York Jets", "MetLife Stadium"], ["New York Giants", "MetLife Stadium"], ["Dallas Cowboys", "Cowboys Stadium"], ["Kansas City Chiefs", "Arrowhead Stadium"], ["Denver Broncos", "Sports Authority Field at Mile High"], ["Miami Dolphins", "Sun Life Stadium"], ["Carolina Panthers", "Bank of America Stadium"], ["New Orleans Saints", "Mercedes-Benz Superdome"], ["Cleveland Browns", "Cleveland Brown Stadium"], ["Green Bay Packers", "Lambeau Field"], ["Buffalo Bills", "Ralph Wilson Stadium"], ["Atlanta Falcons", "Georgia Dome"], ["Houston Texans", "Reliant Stadium"], ["Baltimore Ravens", "M&T Bank Stadium"], ["San Diego Chargers", "Qualcomm Stadium"], ["San Francisco 49ers", "Candlestick Park"], ["Philadelphia Eagles", "Lincoln Financial Field"], ["Tennessee Titans", "LP Field"], ["New England Patriots", "Gillette Stadium"], ["Jacksonville Jaguars", "EverBank Field"], ["Seattle Seahawks", "CenturyLink Field"], ["St. Louis Rams", "Edward Jones Dome"], ["Tampa Bay Buccaneers", "Raymond James Stadium"], ["Cincinnati Bengals", "Paul Brown Stadium"], ["Pittsburgh Steelers", "Heinz Field"], ["Detroit Lions", "Ford Field"], ["Minnesota Vikings", "Hubert H. Humphrey Metrodome"], ["Arizona Cardinals", "University of Phoenix Stadium"], ["Oakland Raiders", "O.co Coliseum"], ["Indianapolis Colts", "Lucas Oil Stadium"], ["Chicago Bears", "Soldier Field"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case33_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case33_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------|
| Lufthansa |
| Thomson Airways |
| Air Canada |
| Lion Air |
| Atlantic Southeast Airlines |
| JetBlue Airways |
| Mesa Airlines |
| AirAsia |
| Qatar Airways |
| Malaysia Airlines |
| British Airways |
| Pinnacle Airlines |
| Southwest Airlines |
| Kingfisher Airlines |
| TAM Linhas Aereas |
| Gol Linhas Aereas |
| Austrian Airlines Group |
| SkyWest Airlines |
| Garuda Indonesia |
| Air New Zealand Group |
| Alitalia |
| Jetstar |
| Ryanair |
| Hainan Group |
| Aer Lingus |
| Avianca |
| Jet Airways |
| Alaska Airlines |
| Thai Airways International |
| JAL Group(Japan Airlines) |
| Delta Air Lines |
| Korean Air |
| Air France KLM |
| Singapore Airlines |
| Vueling Airlines |
| AirTran Airways |
| Shenzhen Airlines |
| Swiss |
| China Airlines |
| Aeroflot Russian Airlines |
| US Airways |
| China Eastern Airlines |
| Saudi Arabian Airlines |
| easyJet |
| LAN Airlines |
| Emirates Airline |
| WestJet |
| Asiana Airlines |
| Vietnam Airlines |
| Qantas |
| Cebu Pacific Air |
| Cathay Pacific |
| Turkish Airlines (THY) |
| Virgin Blue Airlines |
| American Airlines |
| ANA - All Nippon Airways |
| China Southern Airlines |
| ExpressJet Airlines |
| Frontier Airlines |
| Air China |
| Air Berlin Group |
Input Table 2:
| Col_1 |
|:---------------------|
| Singapore |
| Malaysia |
| Thailand |
| Russia |
| Saudi Arabia |
| South Korea |
| Vietnam |
| Austria |
| Qatar |
| China |
| Ireland |
| Brazil |
| France |
| Chile |
| Colombia |
| USA |
| Japan |
| Philippines |
| United Kingdom |
| United Arab Emirates |
| Switzerland |
| India |
| Spain |
| New Zealand |
| Canada |
| Turkey |
| Taiwan |
| Italy |
| Australia |
| Germany |
| Indonesia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case35", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case35", "case": "Case35", "label": [["Emirates Airline", "United Arab Emirates"], ["Qatar Airways", "Qatar"], ["Saudi Arabian Airlines", "Saudi Arabia"], ["AirAsia", "Malaysia"], ["Air China", "China"], ["Air New Zealand Group", "New Zealand"], ["ANA - All Nippon Airways", "Japan"], ["Asiana Airlines", "South Korea"], ["Cathay Pacific", "China"], ["Cebu Pacific Air", "Philippines"], ["China Airlines", "Taiwan"], ["China Eastern Airlines", "China"], ["China Southern Airlines", "China"], ["Garuda Indonesia", "Indonesia"], ["Hainan Group", "China"], ["JAL Group(Japan Airlines)", "Japan"], ["Jet Airways", "India"], ["Jetstar", "Australia"], ["Kingfisher Airlines", "India"], ["Korean Air", "South Korea"], ["Lion Air", "Indonesia"], ["Malaysia Airlines", "Malaysia"], ["Qantas", "Australia"], ["Shenzhen Airlines", "China"], ["Singapore Airlines", "Singapore"], ["Thai Airways International", "Thailand"], ["Vietnam Airlines", "Vietnam"], ["Virgin Blue Airlines", "Australia"], ["Aer Lingus", "United Kingdom"], ["Aeroflot Russian Airlines", "Russia"], ["Air Berlin Group", "Germany"], ["Air France KLM", "France"], ["Alitalia", "Italy"], ["Austrian Airlines Group", "Austria"], ["British Airways", "United Kingdom"], ["easyJet", "United Kingdom"], ["Lufthansa", "Germany"], ["Ryanair", "Ireland"], ["Swiss", "Switzerland"], ["Thomson Airways", "United Kingdom"], ["Turkish Airlines (THY)", "Turkey"], ["Vueling Airlines", "Spain"], ["Avianca", "Colombia"], ["Gol Linhas Aereas", "Brazil"], ["LAN Airlines", "Chile"], ["TAM Linhas Aereas", "Brazil"], ["Air Canada", "Canada"], ["AirTran Airways", "USA"], ["Alaska Airlines", "USA"], ["American Airlines", "USA"], ["Atlantic Southeast Airlines", "USA"], ["Delta Air Lines", "USA"], ["ExpressJet Airlines", "USA"], ["Frontier Airlines", "USA"], ["JetBlue Airways", "USA"], ["Mesa Airlines", "USA"], ["Pinnacle Airlines", "USA"], ["SkyWest Airlines", "USA"], ["Southwest Airlines", "USA"], ["US Airways", "USA"], ["WestJet", "Canada"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case35_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case35_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| William Henry Harrison |
| Martin Van Buren |
| John Adams |
| George Washington |
| Zachary Taylor |
| Richard Nixon |
| John Quincy Adams |
| Dwight D. Eisenhower |
| Herbert Hoover |
| James A. Garfield |
| Bill Clinton |
| John F. Kennedy |
| George W. Bush |
| Franklin D. Roosevelt |
| Jimmy Carter |
| Thomas Jefferson |
| James K. Polk |
| James Madison |
| Andrew Johnson |
| Ulysses S. Grant |
| John Tyler |
| Andrew Jackson |
| William Howard Taft |
| Ronald Reagan |
| Woodrow Wilson |
| Grover Cleveland |
| James Buchanan |
| Chester A. Arthur |
| Warren G. Harding |
| Gerald Ford |
| Benjamin Harrison |
| Franklin Pierce |
| Abraham Lincoln |
| Calvin Coolidge |
| Millard Fillmore |
| Rutherford B. Hayes |
| Barack Obama |
| James Monroe |
| Harry S. Truman |
| George H. W. Bush |
| William McKinley |
| Theodore Roosevelt |
| Lyndon B. Johnson |
Input Table 2:
| Col_1 |
|:---------------|
| Vermont |
| North Carolina |
| New York |
| Kentucky |
| Hawaii |
| California |
| Arkansas |
| New Jersey |
| South Carolina |
| Pennsylvania |
| Nebraska |
| Iowa |
| Massachusetts |
| Texas |
| Illinois |
| New Hampshire |
| Missouri |
| Connecticut |
| Ohio |
| Georgia |
| Virginia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case6", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case6", "case": "Case6", "label": [["Zachary Taylor", "Virginia"], ["Warren G. Harding", "Ohio"], ["John Quincy Adams", "Massachusetts"], ["John F. Kennedy", "Massachusetts"], ["Grover Cleveland", "New Jersey"], ["William Henry Harrison", "Virginia"], ["John Tyler", "Virginia"], ["William Howard Taft", "Ohio"], ["James Buchanan", "Pennsylvania"], ["Rutherford B. Hayes", "Ohio"], ["Dwight D. Eisenhower", "Texas"], ["Chester A. Arthur", "Vermont"], ["Franklin Pierce", "New Hampshire"], ["Barack Obama", "Hawaii"], ["Bill Clinton", "Arkansas"], ["Franklin D. Roosevelt", "New York"], ["Martin Van Buren", "New York"], ["Harry S. Truman", "Missouri"], ["Andrew Jackson", "South Carolina"], ["George H. W. Bush", "Massachusetts"], ["James A. Garfield", "Ohio"], ["George W. Bush", "Connecticut"], ["Theodore Roosevelt", "New York"], ["William McKinley", "Ohio"], ["Abraham Lincoln", "Kentucky"], ["Benjamin Harrison", "Ohio"], ["Gerald Ford", "Nebraska"], ["James K. Polk", "North Carolina"], ["Jimmy Carter", "Georgia"], ["Calvin Coolidge", "Vermont"], ["Ulysses S. Grant", "Ohio"], ["James Madison", "Virginia"], ["John Adams", "Massachusetts"], ["Andrew Johnson", "North Carolina"], ["Thomas Jefferson", "Virginia"], ["Lyndon B. Johnson", "Texas"], ["Woodrow Wilson", "Virginia"], ["Millard Fillmore", "New York"], ["Ronald Reagan", "Illinois"], ["Herbert Hoover", "Iowa"], ["George Washington", "Virginia"], ["James Monroe", "Virginia"], ["Richard Nixon", "California"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case6_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case6_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Papua New Guinea |
| Cambodia |
| Kazakhstan |
| Paraguay |
| Syria |
| Bahamas |
| Solomon Islands |
| Montserrat |
| Mali |
| Marshall Islands |
| Panama |
| Laos |
| Argentina |
| Falkland Islands |
| Seychelles |
| Belize |
| Zambia |
| Bahrain |
| Guinea-Bissau |
| Saint Barthelemy |
| Namibia |
| Comoros |
| Faroe Islands |
| Finland |
| Netherlands Antilles |
| Georgia |
| Saint Kitts and Nevis |
| Yemen |
| Eritrea |
| Puerto Rico |
| Holy See (Vatican City) |
| Aruba |
| Madagascar |
| Ivory Coast |
| Libya |
| Saint Martin |
| Sweden |
| West Bank |
| Cocos (Keeling) Islands |
| Malawi |
| Andorra |
| Liechtenstein |
| Poland |
| Svalbard |
| Bulgaria |
| Jordan |
| Tunisia |
| Tuvalu |
| United Arab Emirates |
| Kenya |
| French Polynesia |
| Brunei |
| Djibouti |
| Lebanon |
| Azerbaijan |
| Cuba |
| Czech Republic |
| Mauritania |
| Saint Lucia |
| Mayotte |
| Israel |
| San Marino |
| Australia |
| Tajikistan |
| Cameroon |
| Gibraltar |
| Cyprus |
| Northern Mariana Islands |
| Malaysia |
| Iceland |
| Oman |
| Armenia |
| Gabon |
| Luxembourg |
| Brazil |
| Turks and Caicos Islands |
| Algeria |
| Jersey |
| Slovenia |
| Republic of the Congo |
| Antigua and Barbuda |
| Colombia |
| Ecuador |
| Moldova |
| Vanuatu |
| Honduras |
| Italy |
| Antarctica |
| Burma (Myanmar) |
| Nauru |
| Haiti |
| Afghanistan |
| Burundi |
| Singapore |
| American Samoa |
| Christmas Island |
| Russia |
| Netherlands |
| China |
| Saint Pierre and Miquelon |
| Kyrgyzstan |
| Bhutan |
| Romania |
| Togo |
| Philippines |
| Uzbekistan |
| British Virgin Islands |
| Zimbabwe |
| British Indian Ocean Territory |
| Montenegro |
| Dominica |
| Indonesia |
| Benin |
| Angola |
| Sudan |
| Portugal |
| New Caledonia |
| Grenada |
| North Korea |
| Cayman Islands |
| Greece |
| Latvia |
| Mongolia |
| Iran |
| Morocco |
| Guatemala |
| Guyana |
| Iraq |
| Chile |
| Nepal |
| Isle of Man |
| Tanzania |
| Ukraine |
| Ghana |
| Anguilla |
| India |
| Canada |
| Maldives |
| Turkey |
| Belgium |
| Taiwan |
| South Africa |
| Trinidad and Tobago |
| Bermuda |
| Central African Republic |
| Democratic Republic of the Congo |
| Jamaica |
| Peru |
| Turkmenistan |
| Germany |
| Fiji |
| Tokelau |
| Hong Kong |
| Guinea |
| United States |
| Chad |
| Somalia |
| Sao Tome and Principe |
| Pitcairn Islands |
| Thailand |
| Equatorial Guinea |
| Kiribati |
| Costa Rica |
| Vietnam |
| Kuwait |
| Nigeria |
| Croatia |
| Cook Islands |
| Sri Lanka |
| Uruguay |
| Timor-Leste |
| United Kingdom |
| Switzerland |
| Samoa |
| Spain |
| Liberia |
| Venezuela |
| Burkina Faso |
| Swaziland |
| Palau |
| Estonia |
| Gaza Strip |
| Wallis and Futuna |
| Niue |
| Austria |
| South Korea |
| Mozambique |
| El Salvador |
| Monaco |
| Guam |
| Lesotho |
| Tonga |
| Western Sahara |
| Hungary |
| Japan |
| Belarus |
| Mauritius |
| Albania |
| Norfolk Island |
| New Zealand |
| Senegal |
| Macedonia |
| Ethiopia |
| US Virgin Islands |
| Egypt |
| Macau |
| Sierra Leone |
| Bolivia |
| Malta |
| Saudi Arabia |
| Cape Verde |
| Pakistan |
| Kosovo |
| Gambia |
| Ireland |
| Qatar |
| Slovakia |
| France |
| Lithuania |
| Serbia |
| Bosnia and Herzegovina |
| Niger |
| Rwanda |
| Bangladesh |
| Barbados |
| Nicaragua |
| Norway |
| Botswana |
| Saint Vincent and the Grenadines |
| Denmark |
| Dominican Republic |
| Mexico |
| Uganda |
| Micronesia |
| Suriname |
| Greenland |
| Saint Helena |
Input Table 2:
| Col_1 |
|:--------|
| 590 |
| 591 |
| 350 |
| 592 |
| 593 |
| 230 |
| 351 |
| 231 |
| 352 |
| 353 |
| 595 |
| 232 |
| 233 |
| 354 |
| 355 |
| 234 |
| 597 |
| 235 |
| 356 |
| 598 |
| 236 |
| 357 |
| 599 |
| 237 |
| 358 |
| 359 |
| 238 |
| 239 |
| 240 |
| 241 |
| 242 |
| 1 |
| 243 |
| 244 |
| 245 |
| 246 |
| 248 |
| 7 |
| 249 |
| 20 |
| 1 345 |
| 1 599 |
| 1 684 |
| 27 |
| 370 |
| 371 |
| 250 |
| 372 |
| 251 |
| 373 |
| 252 |
| 374 |
| 253 |
| 375 |
| 254 |
| 376 |
| 255 |
| 377 |
| 256 |
| 257 |
| 378 |
| 258 |
| 30 |
| 31 |
| 32 |
| 33 |
| 34 |
| 36 |
| 1 441 |
| 1 671 |
| 39 |
| 380 |
| 381 |
| 260 |
| 261 |
| 382 |
| 262 |
| 1 869 |
| 263 |
| 385 |
| 264 |
| 265 |
| 386 |
| 387 |
| 266 |
| 267 |
| 389 |
| 268 |
| 269 |
| 1 670 |
| 40 |
| 41 |
| 43 |
| 44 |
| 45 |
| 46 |
| 47 |
| 48 |
| 49 |
| 51 |
| 52 |
| 53 |
| 54 |
| 55 |
| 56 |
| 57 |
| 58 |
| 960 |
| 961 |
| 962 |
| 1 284 |
| 963 |
| 964 |
| 965 |
| 966 |
| 60 |
| 967 |
| 61 |
| 968 |
| 62 |
| 63 |
| 64 |
| 65 |
| 66 |
| 1 664 |
| 290 |
| 291 |
| 297 |
| 298 |
| 970 |
| 299 |
| 850 |
| 971 |
| 972 |
| 973 |
| 852 |
| 853 |
| 974 |
| 975 |
| 855 |
| 976 |
| 856 |
| 977 |
| 1 784 |
| 500 |
| 501 |
| 502 |
| 503 |
| 504 |
| 81 |
| 505 |
| 82 |
| 506 |
| 507 |
| 84 |
| 508 |
| 86 |
| 509 |
| 1 876 |
| 1 242 |
| 1 767 |
| 870 |
| 992 |
| 993 |
| 994 |
| 995 |
| 996 |
| 90 |
| 91 |
| 998 |
| 92 |
| 93 |
| 94 |
| 95 |
| 98 |
| 880 |
| 886 |
| 1 264 |
| 420 |
| 421 |
| 423 |
| 1 246 |
| 670 |
| 1 868 |
| 672 |
| 673 |
| 674 |
| 675 |
| 676 |
| 677 |
| 678 |
| 679 |
| 1 649 |
| 680 |
| 1 758 |
| 681 |
| 682 |
| 683 |
| 685 |
| 686 |
| 687 |
| 688 |
| 689 |
| 1 268 |
| 690 |
| 691 |
| 692 |
| 212 |
| 213 |
| 216 |
| 1 340 |
| 218 |
| 1 473 |
| 220 |
| 221 |
| 222 |
| 223 |
| 1 809 |
| 224 |
| 225 |
| 226 |
| 227 |
| 228 |
| 229 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case13", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case13", "case": "Case13", "label": [["Afghanistan", "93"], ["Albania", "355"], ["Algeria", "213"], ["American Samoa", "1 684 "], ["Andorra", "376"], ["Angola", "244"], ["Anguilla", "1 264 "], ["Antarctica", "672"], ["Antigua and Barbuda", "1 268 "], ["Argentina", "54"], ["Armenia", "374"], ["Aruba", "297"], ["Australia", "61"], ["Austria", "43"], ["Azerbaijan", "994"], ["Bahamas", "1 242 "], ["Bahrain", "973"], ["Bangladesh", "880"], ["Barbados", "1 246 "], ["Belarus", "375"], ["Belgium", "32"], ["Belize", "501"], ["Benin", "229"], ["Bermuda", "1 441 "], ["Bhutan", "975"], ["Bolivia", "591"], ["Bosnia and Herzegovina", "387"], ["Botswana", "267"], ["Brazil", "55"], ["British Indian Ocean Territory", "246"], ["British Virgin Islands", "1 284 "], ["Brunei", "673"], ["Bulgaria", "359"], ["Burkina Faso", "226"], ["Burma (Myanmar)", "95"], ["Burundi", "257"], ["Cambodia", "855"], ["Cameroon", "237"], ["Canada", "1"], ["Cape Verde", "238"], ["Cayman Islands", "1 345 "], ["Central African Republic", "236"], ["Chad", "235"], ["Chile", "56"], ["China", "86"], ["Christmas Island", "61"], ["Cocos (Keeling) Islands", "61"], ["Colombia", "57"], ["Comoros", "269"], ["Cook Islands", "682"], ["Costa Rica", "506"], ["Croatia", "385"], ["Cuba", "53"], ["Cyprus", "357"], ["Czech Republic", "420"], ["Democratic Republic of the Congo", "243"], ["Denmark", "45"], ["Djibouti", "253"], ["Dominica", "1 767 "], ["Dominican Republic", "1 809 "], ["Ecuador", "593"], ["Egypt", "20"], ["El Salvador", "503"], ["Equatorial Guinea", "240"], ["Eritrea", "291"], ["Estonia", "372"], ["Ethiopia", "251"], ["Falkland Islands", "500"], ["Faroe Islands", "298"], ["Fiji", "679"], ["Finland", "358"], ["France", "33"], ["French Polynesia", "689"], ["Gabon", "241"], ["Gambia", "220"], ["Gaza Strip", "970"], ["Georgia", "995"], ["Germany", "49"], ["Ghana", "233"], ["Gibraltar", "350"], ["Greece", "30"], ["Greenland", "299"], ["Grenada", "1 473 "], ["Guam", "1 671 "], ["Guatemala", "502"], ["Guinea", "224"], ["Guinea-Bissau", "245"], ["Guyana", "592"], ["Haiti", "509"], ["Holy See (Vatican City)", "39"], ["Honduras", "504"], ["Hong Kong", "852"], ["Hungary", "36"], ["Iceland", "354"], ["India", "91"], ["Indonesia", "62"], ["Iran", "98"], ["Iraq", "964"], ["Ireland", "353"], ["Isle of Man", "44"], ["Israel", "972"], ["Italy", "39"], ["Ivory Coast", "225"], ["Jamaica", "1 876 "], ["Japan", "81"], ["Jersey", "44"], ["Jordan", "962"], ["Kazakhstan", "7"], ["Kenya", "254"], ["Kiribati", "686"], ["Kosovo", "381"], ["Kuwait", "965"], ["Kyrgyzstan", "996"], ["Laos", "856"], ["Latvia", "371"], ["Lebanon", "961"], ["Lesotho", "266"], ["Liberia", "231"], ["Libya", "218"], ["Liechtenstein", "423"], ["Lithuania", "370"], ["Luxembourg", "352"], ["Macau", "853"], ["Macedonia", "389"], ["Madagascar", "261"], ["Malawi", "265"], ["Malaysia", "60"], ["Maldives", "960"], ["Mali", "223"], ["Malta", "356"], ["Marshall Islands", "692"], ["Mauritania", "222"], ["Mauritius", "230"], ["Mayotte", "262"], ["Mexico", "52"], ["Micronesia", "691"], ["Moldova", "373"], ["Monaco", "377"], ["Mongolia", "976"], ["Montenegro", "382"], ["Montserrat", "1 664 "], ["Morocco", "212"], ["Mozambique", "258"], ["Namibia", "264"], ["Nauru", "674"], ["Nepal", "977"], ["Netherlands", "31"], ["Netherlands Antilles", "599"], ["New Caledonia", "687"], ["New Zealand", "64"], ["Nicaragua", "505"], ["Niger", "227"], ["Nigeria", "234"], ["Niue", "683"], ["Norfolk Island", "672"], ["North Korea", "850"], ["Northern Mariana Islands", "1 670 "], ["Norway", "47"], ["Oman", "968"], ["Pakistan", "92"], ["Palau", "680"], ["Panama", "507"], ["Papua New Guinea", "675"], ["Paraguay", "595"], ["Peru", "51"], ["Philippines", "63"], ["Pitcairn Islands", "870"], ["Poland", "48"], ["Portugal", "351"], ["Puerto Rico", "1"], ["Qatar", "974"], ["Republic of the Congo", "242"], ["Romania", "40"], ["Russia", "7"], ["Rwanda", "250"], ["Saint Barthelemy", "590"], ["Saint Helena", "290"], ["Saint Kitts and Nevis", "1 869 "], ["Saint Lucia", "1 758 "], ["Saint Martin", "1 599 "], ["Saint Pierre and Miquelon", "508"], ["Saint Vincent and the Grenadines", "1 784 "], ["Samoa", "685"], ["San Marino", "378"], ["Sao Tome and Principe", "239"], ["Saudi Arabia", "966"], ["Senegal", "221"], ["Serbia", "381"], ["Seychelles", "248"], ["Sierra Leone", "232"], ["Singapore", "65"], ["Slovakia", "421"], ["Slovenia", "386"], ["Solomon Islands", "677"], ["Somalia", "252"], ["South Africa", "27"], ["South Korea", "82"], ["Spain", "34"], ["Sri Lanka", "94"], ["Sudan", "249"], ["Suriname", "597"], ["Svalbard", "47"], ["Swaziland", "268"], ["Sweden", "46"], ["Switzerland", "41"], ["Syria", "963"], ["Taiwan", "886"], ["Tajikistan", "992"], ["Tanzania", "255"], ["Thailand", "66"], ["Timor-Leste", "670"], ["Togo", "228"], ["Tokelau", "690"], ["Tonga", "676"], ["Trinidad and Tobago", "1 868 "], ["Tunisia", "216"], ["Turkey", "90"], ["Turkmenistan", "993"], ["Turks and Caicos Islands", "1 649 "], ["Tuvalu", "688"], ["Uganda", "256"], ["Ukraine", "380"], ["United Arab Emirates", "971"], ["United Kingdom", "44"], ["United States", "1"], ["Uruguay", "598"], ["US Virgin Islands", "1 340 "], ["Uzbekistan", "998"], ["Vanuatu", "678"], ["Venezuela", "58"], ["Vietnam", "84"], ["Wallis and Futuna", "681"], ["West Bank", "970"], ["Western Sahara", "212"], ["Yemen", "967"], ["Zambia", "260"], ["Zimbabwe", "263"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case13_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case13_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------|
| Montgomery |
| Juneau |
| Phoenix |
| Little Rock |
| Sacramento |
| Denver |
| Hartford |
| Dover |
| Tallahassee |
| Atlanta |
| Honolulu |
| Boise |
| Springfield |
| Indianapolis |
| Des Moines |
| Topeka |
| Frankfort |
| Baton Rouge |
| Augusta |
| Annapolis |
| Boston |
| Lansing |
| Saint Paul |
| Jackson |
| Jefferson City |
| Helena |
| Lincoln |
| Carson City |
| Concord |
| Trenton |
| Santa Fe |
| Albany |
| Raleigh |
| Bismarck |
| Columbus |
| Oklahoma City |
| Salem |
| Harrisburg |
| Providence |
| Columbia |
| Pierre |
| Nashville |
| Austin |
| Salt Lake City |
| Montpelier |
| Richmond |
| Olympia |
| Charleston |
| Madison |
| Cheyenne |
Input Table 2:
| Col_1 |
|:---------------|
| Alabama |
| Alaska |
| Arizona |
| Arkansas |
| California |
| Colorado |
| Connecticut |
| Delaware |
| Florida |
| Georgia |
| Hawaii |
| Idaho |
| Illinois |
| Indiana |
| Iowa |
| Kansas |
| Kentucky |
| Louisiana |
| Maine |
| Maryland |
| Massachusetts |
| Michigan |
| Minnesota |
| Mississippi |
| Missouri |
| Montana |
| Nebraska |
| Nevada |
| New Hampshire |
| New Jersey |
| New Mexico |
| New York |
| North Carolina |
| North Dakota |
| Ohio |
| Oklahoma |
| Oregon |
| Pennsylvania |
| Rhode Island |
| South Carolina |
| South Dakota |
| Tennessee |
| Texas |
| Utah |
| Vermont |
| Virginia |
| Washington |
| West Virginia |
| Wisconsin |
| Wyoming |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case5", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case5", "case": "Case5", "label": [["Montgomery", "Alabama"], ["Juneau", "Alaska"], ["Phoenix", "Arizona"], ["Little Rock", "Arkansas"], ["Sacramento", "California"], ["Denver", "Colorado"], ["Hartford", "Connecticut"], ["Dover", "Delaware"], ["Tallahassee", "Florida"], ["Atlanta", "Georgia"], ["Honolulu", "Hawaii"], ["Boise", "Idaho"], ["Springfield", "Illinois"], ["Indianapolis", "Indiana"], ["Des Moines", "Iowa"], ["Topeka", "Kansas"], ["Frankfort", "Kentucky"], ["Baton Rouge", "Louisiana"], ["Augusta", "Maine"], ["Annapolis", "Maryland"], ["Boston", "Massachusetts"], ["Lansing", "Michigan"], ["Saint Paul", "Minnesota"], ["Jackson", "Mississippi"], ["Jefferson City", "Missouri"], ["Helena", "Montana"], ["Lincoln", "Nebraska"], ["Carson City", "Nevada"], ["Concord", "New Hampshire"], ["Trenton", "New Jersey"], ["Santa Fe", "New Mexico"], ["Albany", "New York"], ["Raleigh", "North Carolina"], ["Bismarck", "North Dakota"], ["Columbus", "Ohio"], ["Oklahoma City", "Oklahoma"], ["Salem", "Oregon"], ["Harrisburg", "Pennsylvania"], ["Providence", "Rhode Island"], ["Columbia", "South Carolina"], ["Pierre", "South Dakota"], ["Nashville", "Tennessee"], ["Austin", "Texas"], ["Salt Lake City", "Utah"], ["Montpelier", "Vermont"], ["Richmond", "Virginia"], ["Olympia", "Washington"], ["Charleston", "West Virginia"], ["Madison", "Wisconsin"], ["Cheyenne", "Wyoming"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case5_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case5_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------------|
| Allianz |
| United Technologies |
| BHP Billiton |
| Merck & Co |
| Roche Holding |
| HSBC Holdings |
| Enel |
| China Life Insurance |
| Westpac Banking Group |
| Siemens |
| Microsoft |
| Royal Bank of Canada |
| Hyundai Motor |
| TD Bank Group |
| Sumitomo Mitsui Financial |
| Walt Disney |
| Google |
| Wells Fargo |
| Hewlett-Packard |
| Saudi Basic Industries |
| Nestle |
| ING Group |
| Zurich Insurance Group |
| American International Group |
| Citigroup |
| Nippon Telegraph & Tel |
| Exxon Mobil |
| JPMorgan Chase |
| Johnson & Johnson |
| BP |
| Daimler |
| IBM |
| Goldman Sachs Group |
| Banco Bradesco |
| AXA Group |
| National Australia Bank |
| Bank of Nova Scotia |
| Anheuser-Busch InBev |
| UBS |
| Sberbank |
| Gazprom |
| Novartis |
| PepsiCo |
| Munich Re |
| Cisco Systems |
| CVS Caremark |
| Berkshire Hathaway |
| China Mobile |
| Bank of China |
| Agricultural Bank of China |
| EDF |
| Wal-Mart Stores |
| Procter & Gamble |
| Intel |
| Royal Dutch Shell |
| Commonwealth Bank |
| Ping An Insurance Group |
| Banco Santander |
| Chevron |
| Sanofi |
| Petrobras |
| Boeing |
| Volkswagen Group |
| China Construction Bank |
| Samsung Electronics |
| General Electric |
| Coca-Cola |
| Mitsubishi UFJ Financial |
| Verizon Communications |
| BNP Paribas |
| Credit Agricole |
| Eni |
| LukOil |
| Honda Motor |
| Rosneft |
| BASF |
| ANZ |
| Bank of America |
| AT&T |
| ConocoPhillips |
| Ford Motor |
| Bank of Communications |
| Sinopec-China Petroleum |
| Oracle |
| Pfizer |
| Itaú Unibanco Holding |
| Apple |
| Vodafone |
| General Motors |
| Softbank |
| Toyota Motor |
| PetroChina |
| Total |
| UnitedHealth Group |
| MetLife |
| ICBC |
| Comcast |
| Statoil |
| BMW Group |
| Telefónica |
Input Table 2:
| Col_1 |
|:---------------|
| Hong Kong |
| United States |
| Japan |
| United Kingdom |
| Switzerland |
| Russia |
| Spain |
| Saudi Arabia |
| Canada |
| Netherlands |
| South Korea |
| Belgium |
| Norway |
| China |
| Brazil |
| Italy |
| France |
| Australia |
| Germany |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case38", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case38", "case": "Case38", "label": [["ICBC", "China"], ["China Construction Bank", "China"], ["Agricultural Bank of China", "China"], ["JPMorgan Chase", "United States"], ["Berkshire Hathaway", "United States"], ["Exxon Mobil", "United States"], ["General Electric", "United States"], ["Wells Fargo", "United States"], ["Bank of China", "China"], ["PetroChina", "China"], ["Royal Dutch Shell", "Netherlands"], ["Toyota Motor", "Japan"], ["Bank of America", "United States"], ["HSBC Holdings", "United Kingdom"], ["Apple", "United States"], ["Citigroup", "United States"], ["BP", "United Kingdom"], ["Chevron", "United States"], ["Volkswagen Group", "Germany"], ["Wal-Mart Stores", "United States"], ["Gazprom", "Russia"], ["Samsung Electronics", "South Korea"], ["AT&T", "United States"], ["BNP Paribas", "France"], ["Total", "France"], ["Verizon Communications", "United States"], ["Allianz", "Germany"], ["China Mobile", "Hong Kong"], ["Sinopec-China Petroleum", "China"], ["Petrobras", "Brazil"], ["Daimler", "Germany"], ["Microsoft", "United States"], ["AXA Group", "France"], ["Rosneft", "Russia"], ["IBM", "United States"], ["Nestle", "Switzerland"], ["Mitsubishi UFJ Financial", "Japan"], ["Vodafone", "United Kingdom"], ["Eni", "Italy"], ["Procter & Gamble", "United States"], ["Johnson & Johnson", "United States"], ["American International Group", "United States"], ["Banco Santander", "Spain"], ["BHP Billiton", "Australia"], ["Pfizer", "United States"], ["Ita\u00fa Unibanco Holding", "Brazil"], ["Ford Motor", "United States"], ["BMW Group", "Germany"], ["Commonwealth Bank", "Australia"], ["EDF", "France"], ["Statoil", "Norway"], ["Google", "United States"], ["Siemens", "Germany"], ["Novartis", "Switzerland"], ["Royal Bank of Canada", "Canada"], ["Sumitomo Mitsui Financial", "Japan"], ["Comcast", "United States"], ["Sberbank", "Russia"], ["Goldman Sachs Group", "United States"], ["Westpac Banking Group", "Australia"], ["Nippon Telegraph & Tel", "Japan"], ["Ping An Insurance Group", "China"], ["Banco Bradesco", "Brazil"], ["Anheuser-Busch InBev", "Belgium"], ["Bank of Communications", "China"], ["China Life Insurance", "China"], ["General Motors", "United States"], ["Telef\u00f3nica", "Spain"], ["MetLife", "United States"], ["Honda Motor", "Japan"], ["Enel", "Italy"], ["BASF", "Germany"], ["Softbank", "Japan"], ["National Australia Bank", "Australia"], ["ANZ", "Australia"], ["ConocoPhillips", "United States"], ["TD Bank Group", "Canada"], ["Intel", "United States"], ["UBS", "Switzerland"], ["Hewlett-Packard", "United States"], ["Coca-Cola", "United States"], ["Cisco Systems", "United States"], ["LukOil", "Russia"], ["Zurich Insurance Group", "Switzerland"], ["UnitedHealth Group", "United States"], ["Boeing", "United States"], ["Hyundai Motor", "South Korea"], ["Sanofi", "France"], ["Credit Agricole", "France"], ["United Technologies", "United States"], ["Roche Holding", "Switzerland"], ["Munich Re", "Germany"], ["PepsiCo", "United States"], ["Oracle", "United States"], ["Bank of Nova Scotia", "Canada"], ["CVS Caremark", "United States"], ["ING Group", "Netherlands"], ["Saudi Basic Industries", "Saudi Arabia"], ["Merck & Co", "United States"], ["Walt Disney", "United States"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case38_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case38_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------|
| Terry Baker |
| Ron Dayne |
| Matt Leinart |
| Earl Campbell |
| Steve Owens |
| Les Horvath |
| Ricky Williams |
| Bruce Smith |
| Jay Berwanger |
| Barry Sanders |
| Joe Bellino |
| George Rogers |
| Leon Hart |
| Rashaan Salaam |
| Vic Janowicz |
| Ty Detmer |
| John Cappelletti |
| Eddie George |
| Dick Kazmaier |
| Glenn Davis |
| Andre Ware |
| Johnny Rodgers |
| Doc Blanchard |
| Herschel Walker |
| Chris Weinke |
| Gino Torretta |
| Tim Brown |
| Mike Rozier |
| Doak Walker |
| Troy Smith |
| Tim Tebow |
| Carson Palmer |
| Pat Sullivan |
| Marcus Allen |
| Billy Vessels |
| Robert Griffin III |
| Reggie Bush |
| Doug Flutie |
| Clint Frank |
| Cameron Newton |
| O.J. Simpson |
| Vinny Testaverde |
| Billy Cannon |
| Charles White |
| Howard Cassady |
| Danny Wuerffel |
| Roger Staubach |
| Frank Sinkwich |
| Charlie Ward |
| Desmond Howard |
| Billy Sims |
| Larry Kelley |
| Sam Bradford |
| Mike Garrett |
| Alan Ameche |
| Pete Dawkins |
| Angelo Bertelli |
| Paul Hornung |
| Jason White |
| Ernie Davis |
| Johnny Lattner |
| John Huarte |
| Jim Plunkett |
| Mark Ingram |
| Jameis Winston |
| Eric Crouch |
| Steve Spurrier |
| Tony Dorsett |
| Archie Griffin |
| Tom Harmon |
| Nile Kinnick |
| Bo Jackson |
| Charles Woodson |
| Gary Beban |
| Johnny Lujack |
Input Table 2:
| Col_1 |
|:--------------------|
| Oklahoma |
| Brigham Young |
| Florida State |
| Yale |
| Oregon State |
| Alabama |
| South Carolina |
| Nebraska |
| Oklahoma State |
| Colorado |
| Syracuse |
| Wisconsin |
| Pittsburgh |
| Penn State |
| Army |
| UCLA |
| Princeton |
| Boston College |
| Chicago |
| Auburn |
| Minnesota |
| Florida |
| Michigan |
| Miami |
| LSU |
| Southern California |
| Stanford |
| Navy |
| Iowa |
| Texas |
| Notre Dame |
| Ohio State |
| Baylor |
| Georgia |
| Southern Methodist |
| Houston |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case50", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case50", "case": "Case50", "label": [["Jameis Winston", "Florida State"], ["Robert Griffin III", "Baylor"], ["Cameron Newton", "Auburn"], ["Mark Ingram", "Alabama"], ["Sam Bradford", "Oklahoma"], ["Tim Tebow", "Florida"], ["Troy Smith", "Ohio State"], ["Reggie Bush", "Southern California"], ["Matt Leinart", "Southern California"], ["Jason White", "Oklahoma"], ["Carson Palmer", "Southern California"], ["Eric Crouch", "Nebraska"], ["Chris Weinke", "Florida State"], ["Ron Dayne", "Wisconsin"], ["Ricky Williams", "Texas"], ["Charles Woodson", "Michigan"], ["Danny Wuerffel", "Florida"], ["Eddie George", "Ohio State"], ["Rashaan Salaam", "Colorado"], ["Charlie Ward", "Florida State"], ["Gino Torretta", "Miami"], ["Desmond Howard", "Michigan"], ["Ty Detmer", "Brigham Young"], ["Andre Ware", "Houston"], ["Barry Sanders", "Oklahoma State"], ["Tim Brown", "Notre Dame"], ["Vinny Testaverde", "Miami"], ["Bo Jackson", "Auburn"], ["Doug Flutie", "Boston College"], ["Mike Rozier", "Nebraska"], ["Herschel Walker", "Georgia"], ["Marcus Allen", "Southern California"], ["George Rogers", "South Carolina"], ["Charles White", "Southern California"], ["Billy Sims", "Oklahoma"], ["Earl Campbell", "Texas"], ["Tony Dorsett", "Pittsburgh"], ["Archie Griffin", "Ohio State"], ["Archie Griffin", "Ohio State"], ["John Cappelletti", "Penn State"], ["Johnny Rodgers", "Nebraska"], ["Pat Sullivan", "Auburn"], ["Jim Plunkett", "Stanford"], ["Steve Owens", "Oklahoma"], ["O.J. Simpson", "Southern California"], ["Gary Beban", "UCLA"], ["Steve Spurrier", "Florida"], ["Mike Garrett", "Southern California"], ["John Huarte", "Notre Dame"], ["Roger Staubach", "Navy"], ["Terry Baker", "Oregon State"], ["Ernie Davis", "Syracuse"], ["Joe Bellino", "Navy"], ["Billy Cannon", "LSU"], ["Pete Dawkins", "Army"], ["Paul Hornung", "Notre Dame"], ["Howard Cassady", "Ohio State"], ["Alan Ameche", "Wisconsin"], ["Johnny Lattner", "Notre Dame"], ["Billy Vessels", "Oklahoma"], ["Dick Kazmaier", "Princeton"], ["Vic Janowicz", "Ohio State"], ["Leon Hart", "Notre Dame"], ["Doak Walker", "Southern Methodist"], ["Johnny Lujack", "Notre Dame"], ["Glenn Davis", "Army"], ["Doc Blanchard", "Army"], ["Les Horvath", "Ohio State"], ["Angelo Bertelli", "Notre Dame"], ["Frank Sinkwich", "Georgia"], ["Bruce Smith", "Minnesota"], ["Tom Harmon", "Michigan"], ["Nile Kinnick", "Iowa"], ["Clint Frank", "Yale"], ["Larry Kelley", "Yale"], ["Jay Berwanger", "Chicago"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case50_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case50_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------|
| North Carolina |
| Indiana |
| Wyoming |
| Utah |
| Arizona |
| Montana |
| Kentucky |
| California |
| Kansas |
| Delaware |
| Florida |
| Pennsylvania |
| Iowa |
| Mississippi |
| Illinois |
| Texas |
| Connecticut |
| Georgia |
| Maryland |
| Virginia |
| Idaho |
| Oregon |
| Vermont |
| Maine |
| Oklahoma |
| Tennessee |
| Alabama |
| Arkansas |
| South Carolina |
| Washington |
| Nebraska |
| West Virginia |
| Colorado |
| Massachusetts |
| Missouri |
| Alaska |
| North Dakota |
| Wisconsin |
| Nevada |
| New York |
| Rhode Island |
| Hawaii |
| South Dakota |
| Minnesota |
| New Jersey |
| Michigan |
| New Mexico |
| New Hampshire |
| Louisiana |
| Ohio |
Input Table 2:
| Col_1 |
|:--------|
| DE |
| HI |
| TX |
| MA |
| MD |
| IA |
| ME |
| ID |
| MI |
| UT |
| MN |
| MO |
| IL |
| IN |
| MS |
| MT |
| AK |
| AL |
| VA |
| AR |
| NC |
| ND |
| NE |
| RI |
| AZ |
| NH |
| NJ |
| VT |
| NM |
| FL |
| NV |
| WA |
| NY |
| SC |
| SD |
| WI |
| OH |
| GA |
| OK |
| CA |
| WV |
| WY |
| OR |
| KS |
| CO |
| KY |
| CT |
| PA |
| LA |
| TN |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case7", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case7", "case": "Case7", "label": [["Alabama", "AL"], ["Alaska", "AK"], ["Arizona", "AZ"], ["Arkansas", "AR"], ["California", "CA"], ["Colorado", "CO"], ["Connecticut", "CT"], ["Delaware", "DE"], ["Florida", "FL"], ["Georgia", "GA"], ["Hawaii", "HI"], ["Idaho", "ID"], ["Illinois", "IL"], ["Indiana", "IN"], ["Iowa", "IA"], ["Kansas", "KS"], ["Kentucky", "KY"], ["Louisiana", "LA"], ["Maine", "ME"], ["Maryland", "MD"], ["Massachusetts", "MA"], ["Michigan", "MI"], ["Minnesota", "MN"], ["Mississippi", "MS"], ["Missouri", "MO"], ["Montana", "MT"], ["Nebraska", "NE"], ["Nevada", "NV"], ["New Hampshire", "NH"], ["New Jersey", "NJ"], ["New Mexico", "NM"], ["New York", "NY"], ["North Carolina", "NC"], ["North Dakota", "ND"], ["Ohio", "OH"], ["Oklahoma", "OK"], ["Oregon", "OR"], ["Pennsylvania", "PA"], ["Rhode Island", "RI"], ["South Carolina", "SC"], ["South Dakota", "SD"], ["Tennessee", "TN"], ["Texas", "TX"], ["Utah", "UT"], ["Vermont", "VT"], ["Virginia", "VA"], ["Washington", "WA"], ["West Virginia", "WV"], ["Wisconsin", "WI"], ["Wyoming", "WY"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case7_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case7_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------|
| Milwaukee |
| Charleston |
| McAllen |
| Carrollton |
| Murfreesboro |
| Berkeley |
| Cincinnati |
| Austin |
| Cambridge |
| Spokane |
| San Jose |
| Aurora |
| Fargo |
| Syracuse |
| El Monte |
| Arlington |
| Mesa |
| Providence |
| Seattle |
| St. Petersburg |
| Chula Vista |
| Nashville |
| Laredo |
| Knoxville |
| Hollywood |
| Carlsbad |
| Fresno |
| Midland |
| Beaumont |
| Victorville |
| Worcester |
| Newark |
| Little Rock |
| Tempe |
| Norfolk |
| Fort Collins |
| Roseville |
| Louisville |
| Washington |
| Sterling Heights |
| Santa Clara |
| Salem |
| Davenport |
| Cape Coral |
| Elgin |
| Dallas |
| Fremont |
| Sioux Falls |
| Costa Mesa |
| Des Moines |
| Round Rock |
| Huntington Beach |
| Norman |
| Murrieta |
| Independence |
| Santa Clarita |
| Birmingham |
| Burbank |
| Baltimore |
| Paterson |
| Miramar |
| Lakeland |
| Orlando |
| Springfield |
| Philadelphia |
| Henderson |
| Greensboro |
| Akron |
| Topeka |
| Charlotte |
| Detroit |
| High Point |
| Erie |
| Everett |
| Jackson |
| Oakland |
| Bakersfield |
| Escondido |
| Odessa |
| Santa Maria |
| Abilene |
| Provo |
| Salinas |
| Alexandria |
| Wilmington |
| Jacksonville |
| Chandler |
| Buffalo |
| Chattanooga |
| Stamford |
| Sacramento |
| Baton Rouge |
| Rochester |
| Boulder |
| Temecula |
| Yonkers |
| Pompano Beach |
| West Valley City |
| Downey |
| Lakewood |
| Columbia |
| El Cajon |
| Edison |
| Fort Wayne |
| Indianapolis |
| Richmond |
| Broken Arrow |
| Newport News |
| Pearland |
| Shreveport |
| Omaha |
| Warren |
| Thousand Oaks |
| Las Cruces |
| Amarillo |
| Gresham |
| Minneapolis |
| Phoenix |
| Cedar Rapids |
| Plano |
| New York |
| Fayetteville |
| Kent |
| Oceanside |
| Lancaster |
| Antioch |
| West Jordan |
| Miami |
| San Francisco |
| Centennial |
| Lafayette |
| Lowell |
| Anchorage |
| Daly City |
| South Bend |
| Waco |
| Clarksville |
| Olathe |
| Port St. Lucie |
| Fort Worth |
| Rancho Cucamonga |
| Orange |
| Glendale |
| Inglewood |
| San Diego |
| Winston–Salem |
| Simi Valley |
| Lincoln |
| Palmdale |
| Las Vegas |
| Boston |
| Miami Gardens |
| Kansas City |
| San Bernardino |
| Anaheim |
| Savannah |
| Montgomery |
| Mesquite |
| Surprise |
| Athens |
| Hampton |
| Garden Grove |
| Gainesville |
| Oxnard |
| New Haven |
| Elizabeth |
| Rockford |
| Boise |
| Columbus |
| Santa Rosa |
| Overland Park |
| Virginia Beach |
| Vancouver |
| Portland |
| Joliet |
| Grand Rapids |
| Sunnyvale |
| Gilbert |
| West Covina |
| Tallahassee |
| Wichita |
| Arvada |
| Thornton |
| Killeen |
| New Orleans |
| Torrance |
| Denver |
| Salt Lake City |
| Cary |
| St. Louis |
| Lubbock |
| Grand Prairie |
| Corpus Christi |
| Rialto |
| Augusta |
| Allentown |
| San Antonio |
| Raleigh |
| Clearwater |
| Mobile |
| North Charleston |
| Chesapeake |
| Reno |
| Pembroke Pines |
| Richardson |
| Toledo |
| Garland |
| Irving |
| Irvine |
| Colorado Springs |
| Evansville |
| Riverside |
| Lewisville |
| Oklahoma City |
| Westminster |
| North Las Vegas |
| Visalia |
| Tucson |
| Saint Paul |
| Albuquerque |
| Brownsville |
| Santa Ana |
| Denton |
| College Station |
| Tyler |
| Lexington |
| Bridgeport |
| McKinney |
| Billings |
| Wichita Falls |
| Peoria |
| Memphis |
| Corona |
| Ventura |
| Pittsburgh |
| El Paso |
| Pueblo |
| Fontana |
| Pomona |
| Lansing |
| Tulsa |
| Green Bay |
| West Palm Beach |
| Elk Grove |
| Moreno Valley |
| Hialeah |
| Eugene |
| Tampa |
| Durham |
| Ontario |
| Madison |
| Huntsville |
| Ann Arbor |
| Naperville |
| Cleveland |
| Pasadena |
| Dayton |
| Modesto |
| Tacoma |
| Atlanta |
| Palm Bay |
| Hayward |
| Chicago |
| Waterbury |
| Fort Lauderdale |
| Fullerton |
| Concord |
| Frisco |
| Coral Springs |
| Bellevue |
| Jersey City |
| Norwalk |
| Long Beach |
| Manchester |
| Los Angeles |
| Hartford |
| Scottsdale |
| Fairfield |
| Vallejo |
| Stockton |
| Houston |
| San Mateo |
Input Table 2:
| Col_1 |
|:---------------------|
| North Carolina |
| Oregon |
| Indiana |
| Tennessee |
| Oklahoma |
| Alabama |
| Arkansas |
| Washington |
| Utah |
| South Carolina |
| Nebraska |
| Colorado |
| Massachusetts |
| Missouri |
| Alaska |
| North Dakota |
| Arizona |
| Wisconsin |
| Nevada |
| New York |
| District of Columbia |
| Rhode Island |
| Montana |
| Kentucky |
| South Dakota |
| Minnesota |
| California |
| Kansas |
| Florida |
| New Jersey |
| Pennsylvania |
| Michigan |
| Iowa |
| Mississippi |
| New Mexico |
| Illinois |
| Texas |
| Connecticut |
| New Hampshire |
| Louisiana |
| Ohio |
| Georgia |
| Maryland |
| Virginia |
| Idaho |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case40", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case40", "case": "Case40", "label": [["New York", "New York"], ["Los Angeles", "California"], ["Chicago", "Illinois"], ["Houston", "Texas"], ["Philadelphia", "Pennsylvania"], ["Phoenix", "Arizona"], ["San Antonio", "Texas"], ["San Diego", "California"], ["Dallas", "Texas"], ["San Jose", "California"], ["Austin", "Texas"], ["Indianapolis", "Indiana"], ["Jacksonville", "Florida"], ["San Francisco", "California"], ["Columbus", "Ohio"], ["Charlotte", "North Carolina"], ["Fort Worth", "Texas"], ["Detroit", "Michigan"], ["El Paso", "Texas"], ["Memphis", "Tennessee"], ["Seattle", "Washington"], ["Denver", "Colorado"], ["Washington", "District of Columbia"], ["Boston", "Massachusetts"], ["Nashville", "Tennessee"], ["Baltimore", "Maryland"], ["Oklahoma City", "Oklahoma"], ["Louisville", "Kentucky"], ["Portland", "Oregon"], ["Las Vegas", "Nevada"], ["Milwaukee", "Wisconsin"], ["Albuquerque", "New Mexico"], ["Tucson", "Arizona"], ["Fresno", "California"], ["Sacramento", "California"], ["Long Beach", "California"], ["Kansas City", "Missouri"], ["Mesa", "Arizona"], ["Virginia Beach", "Virginia"], ["Atlanta", "Georgia"], ["Colorado Springs", "Colorado"], ["Omaha", "Nebraska"], ["Raleigh", "North Carolina"], ["Miami", "Florida"], ["Oakland", "California"], ["Minneapolis", "Minnesota"], ["Tulsa", "Oklahoma"], ["Cleveland", "Ohio"], ["Wichita", "Kansas"], ["Arlington", "Texas"], ["New Orleans", "Louisiana"], ["Bakersfield", "California"], ["Tampa", "Florida"], ["Aurora", "Colorado"], ["Anaheim", "California"], ["Santa Ana", "California"], ["St. Louis", "Missouri"], ["Riverside", "California"], ["Corpus Christi", "Texas"], ["Lexington", "Kentucky"], ["Pittsburgh", "Pennsylvania"], ["Anchorage", "Alaska"], ["Stockton", "California"], ["Cincinnati", "Ohio"], ["Saint Paul", "Minnesota"], ["Toledo", "Ohio"], ["Greensboro", "North Carolina"], ["Newark", "New Jersey"], ["Plano", "Texas"], ["Henderson", "Nevada"], ["Lincoln", "Nebraska"], ["Buffalo", "New York"], ["Jersey City", "New Jersey"], ["Chula Vista", "California"], ["Fort Wayne", "Indiana"], ["Orlando", "Florida"], ["St. Petersburg", "Florida"], ["Chandler", "Arizona"], ["Laredo", "Texas"], ["Norfolk", "Virginia"], ["Durham", "North Carolina"], ["Madison", "Wisconsin"], ["Lubbock", "Texas"], ["Irvine", "California"], ["Winston\u2013Salem", "North Carolina"], ["Glendale", "Arizona"], ["Garland", "Texas"], ["Hialeah", "Florida"], ["Reno", "Nevada"], ["Chesapeake", "Virginia"], ["Gilbert", "Arizona"], ["Baton Rouge", "Louisiana"], ["Irving", "Texas"], ["Scottsdale", "Arizona"], ["North Las Vegas", "Nevada"], ["Fremont", "California"], ["Boise", "Idaho"], ["Richmond", "Virginia"], ["San Bernardino", "California"], ["Birmingham", "Alabama"], ["Spokane", "Washington"], ["Rochester", "New York"], ["Des Moines", "Iowa"], ["Modesto", "California"], ["Fayetteville", "North Carolina"], ["Tacoma", "Washington"], ["Oxnard", "California"], ["Fontana", "California"], ["Columbus", "Georgia"], ["Montgomery", "Alabama"], ["Moreno Valley", "California"], ["Shreveport", "Louisiana"], ["Aurora", "Illinois"], ["Yonkers", "New York"], ["Akron", "Ohio"], ["Huntington Beach", "California"], ["Little Rock", "Arkansas"], ["Augusta", "Georgia"], ["Amarillo", "Texas"], ["Glendale", "California"], ["Mobile", "Alabama"], ["Grand Rapids", "Michigan"], ["Salt Lake City", "Utah"], ["Tallahassee", "Florida"], ["Huntsville", "Alabama"], ["Grand Prairie", "Texas"], ["Knoxville", "Tennessee"], ["Worcester", "Massachusetts"], ["Newport News", "Virginia"], ["Brownsville", "Texas"], ["Overland Park", "Kansas"], ["Santa Clarita", "California"], ["Providence", "Rhode Island"], ["Garden Grove", "California"], ["Chattanooga", "Tennessee"], ["Oceanside", "California"], ["Jackson", "Mississippi"], ["Fort Lauderdale", "Florida"], ["Santa Rosa", "California"], ["Rancho Cucamonga", "California"], ["Port St. Lucie", "Florida"], ["Tempe", "Arizona"], ["Ontario", "California"], ["Vancouver", "Washington"], ["Cape Coral", "Florida"], ["Sioux Falls", "South Dakota"], ["Springfield", "Missouri"], ["Peoria", "Arizona"], ["Pembroke Pines", "Florida"], ["Elk Grove", "California"], ["Salem", "Oregon"], ["Lancaster", "California"], ["Corona", "California"], ["Eugene", "Oregon"], ["Palmdale", "California"], ["Salinas", "California"], ["Springfield", "Massachusetts"], ["Pasadena", "Texas"], ["Fort Collins", "Colorado"], ["Hayward", "California"], ["Pomona", "California"], ["Cary", "North Carolina"], ["Rockford", "Illinois"], ["Alexandria", "Virginia"], ["Escondido", "California"], ["McKinney", "Texas"], ["Kansas City", "Kansas"], ["Joliet", "Illinois"], ["Sunnyvale", "California"], ["Torrance", "California"], ["Bridgeport", "Connecticut"], ["Lakewood", "Colorado"], ["Hollywood", "Florida"], ["Paterson", "New Jersey"], ["Naperville", "Illinois"], ["Syracuse", "New York"], ["Mesquite", "Texas"], ["Dayton", "Ohio"], ["Savannah", "Georgia"], ["Clarksville", "Tennessee"], ["Orange", "California"], ["Pasadena", "California"], ["Fullerton", "California"], ["Killeen", "Texas"], ["Frisco", "Texas"], ["Hampton", "Virginia"], ["McAllen", "Texas"], ["Warren", "Michigan"], ["Bellevue", "Washington"], ["West Valley City", "Utah"], ["Columbia", "South Carolina"], ["Olathe", "Kansas"], ["Sterling Heights", "Michigan"], ["New Haven", "Connecticut"], ["Miramar", "Florida"], ["Waco", "Texas"], ["Thousand Oaks", "California"], ["Cedar Rapids", "Iowa"], ["Charleston", "South Carolina"], ["Visalia", "California"], ["Topeka", "Kansas"], ["Elizabeth", "New Jersey"], ["Gainesville", "Florida"], ["Thornton", "Colorado"], ["Roseville", "California"], ["Carrollton", "Texas"], ["Coral Springs", "Florida"], ["Stamford", "Connecticut"], ["Simi Valley", "California"], ["Concord", "California"], ["Hartford", "Connecticut"], ["Kent", "Washington"], ["Lafayette", "Louisiana"], ["Midland", "Texas"], ["Surprise", "Arizona"], ["Denton", "Texas"], ["Victorville", "California"], ["Evansville", "Indiana"], ["Santa Clara", "California"], ["Abilene", "Texas"], ["Athens", "Georgia"], ["Vallejo", "California"], ["Allentown", "Pennsylvania"], ["Norman", "Oklahoma"], ["Beaumont", "Texas"], ["Independence", "Missouri"], ["Murfreesboro", "Tennessee"], ["Ann Arbor", "Michigan"], ["Springfield", "Illinois"], ["Berkeley", "California"], ["Peoria", "Illinois"], ["Provo", "Utah"], ["El Monte", "California"], ["Columbia", "Missouri"], ["Lansing", "Michigan"], ["Fargo", "North Dakota"], ["Downey", "California"], ["Costa Mesa", "California"], ["Wilmington", "North Carolina"], ["Arvada", "Colorado"], ["Inglewood", "California"], ["Miami Gardens", "Florida"], ["Carlsbad", "California"], ["Westminster", "Colorado"], ["Rochester", "Minnesota"], ["Odessa", "Texas"], ["Manchester", "New Hampshire"], ["Elgin", "Illinois"], ["West Jordan", "Utah"], ["Round Rock", "Texas"], ["Clearwater", "Florida"], ["Waterbury", "Connecticut"], ["Gresham", "Oregon"], ["Fairfield", "California"], ["Billings", "Montana"], ["Lowell", "Massachusetts"], ["Ventura", "California"], ["Pueblo", "Colorado"], ["High Point", "North Carolina"], ["West Covina", "California"], ["Richmond", "California"], ["Murrieta", "California"], ["Cambridge", "Massachusetts"], ["Antioch", "California"], ["Temecula", "California"], ["Norwalk", "California"], ["Centennial", "Colorado"], ["Everett", "Washington"], ["Palm Bay", "Florida"], ["Wichita Falls", "Texas"], ["Green Bay", "Wisconsin"], ["Daly City", "California"], ["Burbank", "California"], ["Richardson", "Texas"], ["Pompano Beach", "Florida"], ["North Charleston", "South Carolina"], ["Broken Arrow", "Oklahoma"], ["Boulder", "Colorado"], ["West Palm Beach", "Florida"], ["Santa Maria", "California"], ["El Cajon", "California"], ["Davenport", "Iowa"], ["Rialto", "California"], ["Edison", "New Jersey"], ["Las Cruces", "New Mexico"], ["San Mateo", "California"], ["Lewisville", "Texas"], ["South Bend", "Indiana"], ["Lakeland", "Florida"], ["Erie", "Pennsylvania"], ["Tyler", "Texas"], ["Pearland", "Texas"], ["College Station", "Texas"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case40_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case40_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------------------------|
| Princess almost there |
| Down in New Orleans (Prologue) |
| Down in New Orleans |
| Almost There |
| Friends on the Other Side |
| When We're Human |
| Gonna Take You There |
| Ma Belle Evangeline |
| Dig a Little Deeper |
| Down in New Orleans (Reprise) |
| Fathoms Below |
| Daughters of Triton |
| Part of Your World |
| Part of Your World (Reprise) |
| Under the Sea |
| Poor Unfortunate Souls |
| Kiss the Girl |
| Down to the Sea |
| For a Moment |
| Tip and Dash |
| Land and Sea |
| Athena's Song |
| Just One Mistake |
| Shake, Sanora |
| I Remember |
| Just One Mistake (Reprise) |
| Shake, Sanorra (Reprise) |
| I Will Sing |
| Ballroom |
| That Belle |
| That Belle (Reprise) |
| Gaston (song) |
| Gaston (Reprise) |
| Be Our Guest |
| Something There |
| Beauty and the Beast |
| The Mob Song |
| Beauty and the Beast (Reprise) |
| A Little Thought |
| Stories |
| As Long As There's Christmas |
| Don't Fall in Love |
| Arabian Nights |
| One Jump Ahead |
| Friend Like Me |
| Prince Ali |
| A Whole New World |
| Prince Ali (Reprise) |
| A Whole New World (Reprise) |
| I'm Looking Out for Me |
| Nothing in the World (Quite Like a Friend) |
| Forget About Love |
| You're Only Second Rate |
| There's a Party Here in Agrabah |
| There's a Party Here in Agrabah (Reprise) |
| Out of Thin Air |
| Welcome To The Forty Thieves |
| Father and Son |
| Are You In or Out |
| When Will my Life Begin? |
| Mother Knows Best |
| When Will my Life Begin? (Reprise) |
| I Have a Dream |
| Mother Knows Best (Reprise) |
| I See the Light |
| Healing Incantation |
| A Dream is a Wish Your Heart Makes |
| Sing, Sweet Nightingale |
| The Working Song |
| Bibbidi-Bobbidy-Boo |
| So This is Love |
| Perfectly Perfect |
| More Than a Dream |
| At The Ball |
| I Still Believe |
| I'm Wishing/One Song |
| With a Smile and a Song |
| Whistle While You Work |
| Heigh-Ho |
| The Silly Song |
| Someday My Prince Will Come |
| The Virginia Company |
| Steady as the Beating Drum |
| Just Around the Riverbend |
| Listen With Your Heart |
| Mine, Mine, Mine |
| Colors of the Wind |
| If I Never Knew You |
| Savages |
| Where do I go from here? |
| What a day in London |
| Wait until he sees you |
| Where do I go from here? (Reprise) |
| Honor to Us All |
| Reflection |
| I'll Make a Man Out of You |
| A Girl Worth Fighting For |
| True To Your Heart |
| Lesson Number One |
| I Wanna Be Like Other Girls |
| Hail to the Princess Aurora |
| The Gifts of Beauty and Song |
| I Wonder |
| Once Upon a Dream |
| Skumps |
| Sleeping Beauty (song) |
| Poor Aurora |
Input Table 2:
| Col_1 |
|:---------------------------------|
| The Princess and the Frog |
| The Little Mermaid and Sequels |
| Beauty and the Beast and Sequels |
| Aladdin and Sequels and TV songs |
| Tangled |
| Cinderella and Sequels |
| Snow White |
| Pocahontas and Sequel |
| Mulan and Sequel |
| Sleeping Beauty |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case4", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case4", "case": "Case4", "label": [["Princess almost there", "The Princess and the Frog"], ["Down in New Orleans (Prologue)", "The Princess and the Frog"], ["Down in New Orleans", "The Princess and the Frog"], ["Almost There", "The Princess and the Frog"], ["Friends on the Other Side", "The Princess and the Frog"], ["When We're Human", "The Princess and the Frog"], ["Gonna Take You There", "The Princess and the Frog"], ["Ma Belle Evangeline", "The Princess and the Frog"], ["Dig a Little Deeper", "The Princess and the Frog"], ["Down in New Orleans (Reprise)", "The Princess and the Frog"], ["Fathoms Below", "The Little Mermaid and Sequels"], ["Daughters of Triton", "The Little Mermaid and Sequels"], ["Part of Your World", "The Little Mermaid and Sequels"], ["Part of Your World (Reprise)", "The Little Mermaid and Sequels"], ["Under the Sea", "The Little Mermaid and Sequels"], ["Poor Unfortunate Souls", "The Little Mermaid and Sequels"], ["Kiss the Girl", "The Little Mermaid and Sequels"], ["Down to the Sea", "The Little Mermaid and Sequels"], ["For a Moment", "The Little Mermaid and Sequels"], ["Tip and Dash", "The Little Mermaid and Sequels"], ["Land and Sea", "The Little Mermaid and Sequels"], ["Athena's Song", "The Little Mermaid and Sequels"], ["Just One Mistake", "The Little Mermaid and Sequels"], ["Shake, Sanora", "The Little Mermaid and Sequels"], ["I Remember", "The Little Mermaid and Sequels"], ["Just One Mistake (Reprise)", "The Little Mermaid and Sequels"], ["Shake, Sanorra (Reprise)", "The Little Mermaid and Sequels"], ["I Will Sing", "The Little Mermaid and Sequels"], ["Ballroom", "Beauty and the Beast and Sequels"], ["That Belle", "Beauty and the Beast and Sequels"], ["That Belle (Reprise)", "Beauty and the Beast and Sequels"], ["Gaston (song)", "Beauty and the Beast and Sequels"], ["Gaston (Reprise)", "Beauty and the Beast and Sequels"], ["Be Our Guest", "Beauty and the Beast and Sequels"], ["Something There", "Beauty and the Beast and Sequels"], ["Beauty and the Beast", "Beauty and the Beast and Sequels"], ["The Mob Song", "Beauty and the Beast and Sequels"], ["Beauty and the Beast (Reprise)", "Beauty and the Beast and Sequels"], ["A Little Thought", "Beauty and the Beast and Sequels"], ["Stories", "Beauty and the Beast and Sequels"], ["As Long As There's Christmas", "Beauty and the Beast and Sequels"], ["Don't Fall in Love", "Beauty and the Beast and Sequels"], ["Arabian Nights", "Aladdin and Sequels and TV songs"], ["One Jump Ahead", "Aladdin and Sequels and TV songs"], ["Friend Like Me", "Aladdin and Sequels and TV songs"], ["Prince Ali", "Aladdin and Sequels and TV songs"], ["A Whole New World", "Aladdin and Sequels and TV songs"], ["Prince Ali (Reprise)", "Aladdin and Sequels and TV songs"], ["A Whole New World (Reprise)", "Aladdin and Sequels and TV songs"], ["I'm Looking Out for Me", "Aladdin and Sequels and TV songs"], ["Nothing in the World (Quite Like a Friend)", "Aladdin and Sequels and TV songs"], ["Forget About Love", "Aladdin and Sequels and TV songs"], ["You're Only Second Rate", "Aladdin and Sequels and TV songs"], ["There's a Party Here in Agrabah", "Aladdin and Sequels and TV songs"], ["There's a Party Here in Agrabah (Reprise)", "Aladdin and Sequels and TV songs"], ["Out of Thin Air", "Aladdin and Sequels and TV songs"], ["Welcome To The Forty Thieves", "Aladdin and Sequels and TV songs"], ["Father and Son", "Aladdin and Sequels and TV songs"], ["Are You In or Out", "Aladdin and Sequels and TV songs"], ["When Will my Life Begin?", "Tangled"], ["Mother Knows Best", "Tangled"], ["When Will my Life Begin? (Reprise)", "Tangled"], ["I Have a Dream", "Tangled"], ["Mother Knows Best (Reprise)", "Tangled"], ["I See the Light", "Tangled"], ["Healing Incantation", "Tangled"], ["A Dream is a Wish Your Heart Makes", "Cinderella and Sequels"], ["Sing, Sweet Nightingale", "Cinderella and Sequels"], ["The Working Song", "Cinderella and Sequels"], ["Bibbidi-Bobbidy-Boo", "Cinderella and Sequels"], ["So This is Love", "Cinderella and Sequels"], ["Perfectly Perfect", "Cinderella and Sequels"], ["More Than a Dream", "Cinderella and Sequels"], ["At The Ball", "Cinderella and Sequels"], ["I Still Believe", "Cinderella and Sequels"], ["I'm Wishing/One Song", "Snow White"], ["With a Smile and a Song", "Snow White"], ["Whistle While You Work", "Snow White"], ["Heigh-Ho", "Snow White"], ["The Silly Song", "Snow White"], ["Someday My Prince Will Come", "Snow White"], ["The Virginia Company", "Pocahontas and Sequel"], ["Steady as the Beating Drum", "Pocahontas and Sequel"], ["Just Around the Riverbend", "Pocahontas and Sequel"], ["Listen With Your Heart", "Pocahontas and Sequel"], ["Mine, Mine, Mine", "Pocahontas and Sequel"], ["Colors of the Wind", "Pocahontas and Sequel"], ["If I Never Knew You", "Pocahontas and Sequel"], ["Savages", "Pocahontas and Sequel"], ["Where do I go from here?", "Pocahontas and Sequel"], ["What a day in London", "Pocahontas and Sequel"], ["Wait until he sees you", "Pocahontas and Sequel"], ["Where do I go from here? (Reprise)", "Pocahontas and Sequel"], ["Honor to Us All", "Mulan and Sequel"], ["Reflection", "Mulan and Sequel"], ["I'll Make a Man Out of You", "Mulan and Sequel"], ["A Girl Worth Fighting For", "Mulan and Sequel"], ["True To Your Heart", "Mulan and Sequel"], ["Lesson Number One", "Mulan and Sequel"], ["I Wanna Be Like Other Girls", "Mulan and Sequel"], ["Hail to the Princess Aurora", "Sleeping Beauty"], ["The Gifts of Beauty and Song", "Sleeping Beauty"], ["I Wonder", "Sleeping Beauty"], ["Once Upon a Dream", "Sleeping Beauty"], ["Skumps", "Sleeping Beauty"], ["Sleeping Beauty (song)", "Sleeping Beauty"], ["Poor Aurora", "Sleeping Beauty"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case4_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case4_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Papua New Guinea |
| Cambodia |
| Kazakhstan |
| Paraguay |
| Syria |
| Bahamas |
| Solomon Islands |
| Montserrat |
| Mali |
| Marshall Islands |
| Panama |
| Laos |
| Argentina |
| Falkland Islands |
| Seychelles |
| Belize |
| Zambia |
| Bahrain |
| Guinea-Bissau |
| Saint Barthelemy |
| Namibia |
| Comoros |
| Faroe Islands |
| Finland |
| Netherlands Antilles |
| Georgia |
| Saint Kitts and Nevis |
| Yemen |
| Eritrea |
| Puerto Rico |
| Holy See (Vatican City) |
| Aruba |
| Madagascar |
| Ivory Coast |
| Libya |
| Saint Martin |
| Sweden |
| Cocos (Keeling) Islands |
| Malawi |
| Andorra |
| Liechtenstein |
| Poland |
| Svalbard |
| Bulgaria |
| Jordan |
| Tunisia |
| Tuvalu |
| United Arab Emirates |
| Kenya |
| French Polynesia |
| Brunei |
| Djibouti |
| Lebanon |
| Azerbaijan |
| Cuba |
| Czech Republic |
| Mauritania |
| Saint Lucia |
| Mayotte |
| Israel |
| San Marino |
| Australia |
| Tajikistan |
| Cameroon |
| Gibraltar |
| Cyprus |
| Northern Mariana Islands |
| Malaysia |
| Iceland |
| Oman |
| Armenia |
| Gabon |
| Luxembourg |
| Brazil |
| Turks and Caicos Islands |
| Algeria |
| Jersey |
| Slovenia |
| Republic of the Congo |
| Antigua and Barbuda |
| Colombia |
| Ecuador |
| Moldova |
| Vanuatu |
| Honduras |
| Italy |
| Antarctica |
| Burma (Myanmar) |
| Nauru |
| Haiti |
| Afghanistan |
| Burundi |
| Singapore |
| American Samoa |
| Christmas Island |
| Russia |
| Netherlands |
| China |
| Saint Pierre and Miquelon |
| Kyrgyzstan |
| Bhutan |
| Romania |
| Togo |
| Philippines |
| Uzbekistan |
| British Virgin Islands |
| Zimbabwe |
| British Indian Ocean Territory |
| Montenegro |
| Dominica |
| Indonesia |
| Benin |
| Angola |
| Sudan |
| Portugal |
| New Caledonia |
| Grenada |
| North Korea |
| Cayman Islands |
| Greece |
| Latvia |
| Mongolia |
| Iran |
| Morocco |
| Guatemala |
| Guyana |
| Iraq |
| Chile |
| Nepal |
| Isle of Man |
| Tanzania |
| Ukraine |
| Ghana |
| Anguilla |
| India |
| Canada |
| Maldives |
| Turkey |
| Belgium |
| Taiwan |
| South Africa |
| Trinidad and Tobago |
| Bermuda |
| Central African Republic |
| Democratic Republic of the Congo |
| Jamaica |
| Peru |
| Turkmenistan |
| Germany |
| Fiji |
| Tokelau |
| Hong Kong |
| Guinea |
| United States |
| Chad |
| Somalia |
| Sao Tome and Principe |
| Pitcairn Islands |
| Thailand |
| Equatorial Guinea |
| Kiribati |
| Costa Rica |
| Vietnam |
| Kuwait |
| Nigeria |
| Croatia |
| Cook Islands |
| Sri Lanka |
| Uruguay |
| Timor-Leste |
| United Kingdom |
| Switzerland |
| Samoa |
| Spain |
| Liberia |
| Venezuela |
| Burkina Faso |
| Swaziland |
| Palau |
| Estonia |
| Wallis and Futuna |
| Niue |
| Austria |
| South Korea |
| Mozambique |
| El Salvador |
| Monaco |
| Guam |
| Lesotho |
| Tonga |
| Western Sahara |
| Hungary |
| Japan |
| Belarus |
| Mauritius |
| Albania |
| New Zealand |
| Senegal |
| Macedonia |
| Ethiopia |
| US Virgin Islands |
| Egypt |
| Macau |
| Sierra Leone |
| Bolivia |
| Malta |
| Saudi Arabia |
| Cape Verde |
| Pakistan |
| Gambia |
| Ireland |
| Qatar |
| Slovakia |
| France |
| Lithuania |
| Serbia |
| Bosnia and Herzegovina |
| Niger |
| Rwanda |
| Bangladesh |
| Barbados |
| Nicaragua |
| Norway |
| Botswana |
| Saint Vincent and the Grenadines |
| Denmark |
| Dominican Republic |
| Mexico |
| Uganda |
| Micronesia |
| Suriname |
| Greenland |
| Saint Helena |
Input Table 2:
| Col_1 |
|:--------|
| PR |
| PT |
| PW |
| PY |
| QA |
| AD |
| AE |
| AF |
| AG |
| AI |
| AL |
| AM |
| AN |
| AO |
| AQ |
| AR |
| AS |
| AT |
| AU |
| AW |
| AZ |
| RO |
| BA |
| BB |
| RS |
| BD |
| BE |
| RU |
| BF |
| BG |
| RW |
| BH |
| BI |
| BJ |
| BL |
| BM |
| BN |
| BO |
| SA |
| SB |
| BR |
| SC |
| BS |
| SD |
| BT |
| SE |
| SG |
| BW |
| SH |
| SI |
| BY |
| SJ |
| BZ |
| SK |
| SL |
| SM |
| SN |
| SO |
| CA |
| SR |
| CC |
| CD |
| ST |
| CF |
| SV |
| CG |
| CH |
| CI |
| SY |
| SZ |
| CK |
| CL |
| CM |
| CN |
| CO |
| CR |
| TC |
| TD |
| CU |
| CV |
| TG |
| TH |
| CX |
| CY |
| TJ |
| CZ |
| TK |
| TL |
| TM |
| TN |
| TO |
| TR |
| TT |
| DE |
| TV |
| TW |
| DJ |
| TZ |
| DK |
| DM |
| DO |
| UA |
| UG |
| DZ |
| EC |
| US |
| EE |
| EG |
| EH |
| UY |
| UZ |
| VA |
| ER |
| VC |
| ES |
| ET |
| VE |
| VG |
| VI |
| VN |
| VU |
| FI |
| FJ |
| FK |
| FM |
| FO |
| FR |
| WF |
| GA |
| GB |
| WS |
| GD |
| GE |
| GH |
| GI |
| GL |
| GM |
| GN |
| GQ |
| GR |
| GT |
| GU |
| GW |
| GY |
| HK |
| HN |
| HR |
| HT |
| YE |
| HU |
| ID |
| YT |
| IE |
| IL |
| IM |
| IN |
| IO |
| ZA |
| IQ |
| IR |
| IS |
| IT |
| ZM |
| JE |
| ZW |
| JM |
| JO |
| JP |
| KE |
| KG |
| KH |
| KI |
| KM |
| KN |
| KP |
| KR |
| KW |
| KY |
| KZ |
| LA |
| LB |
| LC |
| LI |
| LK |
| LR |
| LS |
| LT |
| LU |
| LV |
| LY |
| MA |
| MC |
| MD |
| ME |
| MF |
| MG |
| MH |
| MK |
| ML |
| MM |
| MN |
| MO |
| MP |
| MR |
| MS |
| MT |
| MU |
| MV |
| MW |
| MX |
| MY |
| MZ |
| NA |
| NC |
| NE |
| NG |
| NI |
| NL |
| NO |
| NP |
| NR |
| NU |
| NZ |
| OM |
| PA |
| PE |
| PF |
| PG |
| PH |
| PK |
| PL |
| PM |
| PN |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case14", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case14", "case": "Case14", "label": [["Afghanistan", "AF"], ["Albania", "AL"], ["Algeria", "DZ"], ["American Samoa", "AS"], ["Andorra", "AD"], ["Angola", "AO"], ["Anguilla", "AI"], ["Antarctica", "AQ"], ["Antigua and Barbuda", "AG"], ["Argentina", "AR"], ["Armenia", "AM"], ["Aruba", "AW"], ["Australia", "AU"], ["Austria", "AT"], ["Azerbaijan", "AZ"], ["Bahamas", "BS"], ["Bahrain", "BH"], ["Bangladesh", "BD"], ["Barbados", "BB"], ["Belarus", "BY"], ["Belgium", "BE"], ["Belize", "BZ"], ["Benin", "BJ"], ["Bermuda", "BM"], ["Bhutan", "BT"], ["Bolivia", "BO"], ["Bosnia and Herzegovina", "BA"], ["Botswana", "BW"], ["Brazil", "BR"], ["British Indian Ocean Territory", "IO"], ["British Virgin Islands", "VG"], ["Brunei", "BN"], ["Bulgaria", "BG"], ["Burkina Faso", "BF"], ["Burma (Myanmar)", "MM"], ["Burundi", "BI"], ["Cambodia", "KH"], ["Cameroon", "CM"], ["Canada", "CA"], ["Cape Verde", "CV"], ["Cayman Islands", "KY"], ["Central African Republic", "CF"], ["Chad", "TD"], ["Chile", "CL"], ["China", "CN"], ["Christmas Island", "CX"], ["Cocos (Keeling) Islands", "CC"], ["Colombia", "CO"], ["Comoros", "KM"], ["Cook Islands", "CK"], ["Costa Rica", "CR"], ["Croatia", "HR"], ["Cuba", "CU"], ["Cyprus", "CY"], ["Czech Republic", "CZ"], ["Democratic Republic of the Congo", "CD"], ["Denmark", "DK"], ["Djibouti", "DJ"], ["Dominica", "DM"], ["Dominican Republic", "DO"], ["Ecuador", "EC"], ["Egypt", "EG"], ["El Salvador", "SV"], ["Equatorial Guinea", "GQ"], ["Eritrea", "ER"], ["Estonia", "EE"], ["Ethiopia", "ET"], ["Falkland Islands", "FK"], ["Faroe Islands", "FO"], ["Fiji", "FJ"], ["Finland", "FI"], ["France", "FR"], ["French Polynesia", "PF"], ["Gabon", "GA"], ["Gambia", "GM"], ["Georgia", "GE"], ["Germany", "DE"], ["Ghana", "GH"], ["Gibraltar", "GI"], ["Greece", "GR"], ["Greenland", "GL"], ["Grenada", "GD"], ["Guam", "GU"], ["Guatemala", "GT"], ["Guinea", "GN"], ["Guinea-Bissau", "GW"], ["Guyana", "GY"], ["Haiti", "HT"], ["Holy See (Vatican City)", "VA"], ["Honduras", "HN"], ["Hong Kong", "HK"], ["Hungary", "HU"], ["Iceland", "IS"], ["India", "IN"], ["Indonesia", "ID"], ["Iran", "IR"], ["Iraq", "IQ"], ["Ireland", "IE"], ["Isle of Man", "IM"], ["Israel", "IL"], ["Italy", "IT"], ["Ivory Coast", "CI"], ["Jamaica", "JM"], ["Japan", "JP"], ["Jersey", "JE"], ["Jordan", "JO"], ["Kazakhstan", "KZ"], ["Kenya", "KE"], ["Kiribati", "KI"], ["Kuwait", "KW"], ["Kyrgyzstan", "KG"], ["Laos", "LA"], ["Latvia", "LV"], ["Lebanon", "LB"], ["Lesotho", "LS"], ["Liberia", "LR"], ["Libya", "LY"], ["Liechtenstein", "LI"], ["Lithuania", "LT"], ["Luxembourg", "LU"], ["Macau", "MO"], ["Macedonia", "MK"], ["Madagascar", "MG"], ["Malawi", "MW"], ["Malaysia", "MY"], ["Maldives", "MV"], ["Mali", "ML"], ["Malta", "MT"], ["Marshall Islands", "MH"], ["Mauritania", "MR"], ["Mauritius", "MU"], ["Mayotte", "YT"], ["Mexico", "MX"], ["Micronesia", "FM"], ["Moldova", "MD"], ["Monaco", "MC"], ["Mongolia", "MN"], ["Montenegro", "ME"], ["Montserrat", "MS"], ["Morocco", "MA"], ["Mozambique", "MZ"], ["Namibia", NaN], ["Nauru", "NR"], ["Nepal", "NP"], ["Netherlands", "NL"], ["Netherlands Antilles", "AN"], ["New Caledonia", "NC"], ["New Zealand", "NZ"], ["Nicaragua", "NI"], ["Niger", "NE"], ["Nigeria", "NG"], ["Niue", "NU"], ["North Korea", "KP"], ["Northern Mariana Islands", "MP"], ["Norway", "NO"], ["Oman", "OM"], ["Pakistan", "PK"], ["Palau", "PW"], ["Panama", "PA"], ["Papua New Guinea", "PG"], ["Paraguay", "PY"], ["Peru", "PE"], ["Philippines", "PH"], ["Pitcairn Islands", "PN"], ["Poland", "PL"], ["Portugal", "PT"], ["Puerto Rico", "PR"], ["Qatar", "QA"], ["Republic of the Congo", "CG"], ["Romania", "RO"], ["Russia", "RU"], ["Rwanda", "RW"], ["Saint Barthelemy", "BL"], ["Saint Helena", "SH"], ["Saint Kitts and Nevis", "KN"], ["Saint Lucia", "LC"], ["Saint Martin", "MF"], ["Saint Pierre and Miquelon", "PM"], ["Saint Vincent and the Grenadines", "VC"], ["Samoa", "WS"], ["San Marino", "SM"], ["Sao Tome and Principe", "ST"], ["Saudi Arabia", "SA"], ["Senegal", "SN"], ["Serbia", "RS"], ["Seychelles", "SC"], ["Sierra Leone", "SL"], ["Singapore", "SG"], ["Slovakia", "SK"], ["Slovenia", "SI"], ["Solomon Islands", "SB"], ["Somalia", "SO"], ["South Africa", "ZA"], ["South Korea", "KR"], ["Spain", "ES"], ["Sri Lanka", "LK"], ["Sudan", "SD"], ["Suriname", "SR"], ["Svalbard", "SJ"], ["Swaziland", "SZ"], ["Sweden", "SE"], ["Switzerland", "CH"], ["Syria", "SY"], ["Taiwan", "TW"], ["Tajikistan", "TJ"], ["Tanzania", "TZ"], ["Thailand", "TH"], ["Timor-Leste", "TL"], ["Togo", "TG"], ["Tokelau", "TK"], ["Tonga", "TO"], ["Trinidad and Tobago", "TT"], ["Tunisia", "TN"], ["Turkey", "TR"], ["Turkmenistan", "TM"], ["Turks and Caicos Islands", "TC"], ["Tuvalu", "TV"], ["Uganda", "UG"], ["Ukraine", "UA"], ["United Arab Emirates", "AE"], ["United Kingdom", "GB"], ["United States", "US"], ["Uruguay", "UY"], ["US Virgin Islands", "VI"], ["Uzbekistan", "UZ"], ["Vanuatu", "VU"], ["Venezuela", "VE"], ["Vietnam", "VN"], ["Wallis and Futuna", "WF"], ["Western Sahara", "EH"], ["Yemen", "YE"], ["Zambia", "ZM"], ["Zimbabwe", "ZW"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case14_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case14_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------------------------|
| École Polytechnique |
| University of Tokyo |
| Wageningen University and Research Center |
| University of Wisconsin-Madison |
| Harvard University |
| Ludwig-Maximilians-Universität München |
| Duke University |
| Michigan State University |
| University of Melbourne |
| Humboldt-Universität zu Berlin |
| University of California, San Diego |
| Karolinska Institute |
| Swiss Federal Institute of Technology Zürich |
| University of São Paulo |
| Imperial College London |
| McGill University |
| University of Illinois at Urbana Champaign |
| University of Toronto |
| Boston University |
| University of Manchester |
| University of Minnesota |
| The University of Queensland Australia |
| University of Michigan |
| National University of Singapore |
| Carnegie Mellon University |
| University of Pennsylvania |
| Purdue University |
| University of California, San Francisco |
| University of California, Los Angeles |
| Freie Universität Berlin |
| University of Cambridge |
| University of Chicago |
| Stanford University |
| Pennsylvania State University |
| National Taiwan University |
| Université Paris-Sud |
| Nanyang Technological University |
| University of Southern California |
| Seoul National University |
| Tohoku University |
| The University of New South Wales |
| Utrecht University |
| Massachusetts Institute of Technology |
| Tokyo Institute of Technology |
| University of Washington |
| Washington University in St Louis |
| University of North Carolina at Chapel Hill |
| The University of Sydney |
| University of Maryland, College Park |
| Johns Hopkins University |
| Uppsala University |
| Delft University of Technology |
| University College London |
| Northwestern University |
| University of British Columbia |
| Rutgers, The State University of New Jersey |
| Katholieke Universiteit Leuven |
| Technische Universität München |
| Brown University |
| California Institute of Technology |
| University of Florida |
| University of Edinburgh |
| University of Pittsburgh |
| Osaka University |
| Korea Advanced Institute of Science and Technology |
| Université Paris-Sorbonne |
| Lund University |
| Cornell University |
| University of California, Santa Barbara |
| The University of Hong Kong |
| University of Amsterdam |
| Columbia University |
| The Ohio State University |
| New York University |
| Kyoto University |
| University of California, Berkeley |
| Leiden University |
| Australian National University |
| Princeton University |
| The Hong Kong University of Science and Technology |
| Yale University |
| Université Pierre et Marie Curie |
| École Polytechnique Fédérale de Lausanne |
| University of Massachusetts |
| Lomonosov Moscow State University |
| Hebrew University of Jerusalem |
| Peking University |
| Monash University |
| University of Bristol |
| Middle East Technical University |
| Universität Heidelberg |
| University of California, Davis |
| London School of Economics and Political Science |
| Tsinghua University |
| University of Texas at Austin |
| The Chinese University of Hong Kong |
| University of Oxford |
| Georgia Institute of Technology |
Input Table 2:
| Col_1 |
|:-------------------|
| Russian Federation |
| Singapore |
| Hong Kong |
| Japan |
| Switzerland |
| Canada |
| Netherlands |
| Sweden |
| Turkey |
| Belgium |
| UK |
| China |
| Taiwan |
| Korea, Republic Of |
| Brazil |
| Israel |
| Australia |
| France |
| US |
| Germany |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case39", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case39", "case": "Case39", "label": [["Harvard University", "US"], ["Massachusetts Institute of Technology", "US"], ["University of Cambridge", "UK"], ["University of Oxford", "UK"], ["University of California, Berkeley", "US"], ["Stanford University", "US"], ["Princeton University", "US"], ["University of California, Los Angeles", "US"], ["University of Tokyo", "Japan"], ["Yale University", "US"], ["California Institute of Technology", "US"], ["University of Michigan", "US"], ["Columbia University", "US"], ["University of Chicago", "US"], ["Imperial College London", "UK"], ["University of Toronto", "Canada"], ["Cornell University", "US"], ["University of Pennsylvania", "US"], ["Johns Hopkins University", "US"], ["University College London", "UK"], ["Swiss Federal Institute of Technology Z\u00fcrich", "Switzerland"], ["National University of Singapore", "Singapore"], ["Kyoto University", "Japan"], ["University of Illinois at Urbana Champaign", "US"], ["London School of Economics and Political Science", "UK"], ["Carnegie Mellon University", "US"], ["University of Texas at Austin", "US"], ["University of Washington", "US"], ["New York University", "US"], ["University of Wisconsin-Madison", "US"], ["University of British Columbia", "Canada"], ["Duke University", "US"], ["McGill University", "Canada"], ["University of California, San Diego", "US"], ["Tsinghua University", "China"], ["The University of Hong Kong", "Hong Kong"], ["Northwestern University", "US"], ["Georgia Institute of Technology", "US"], ["University of Melbourne", "Australia"], ["University of California, San Francisco", "US"], ["Seoul National University", "Korea, Republic Of"], ["Australian National University", "Australia"], ["University of Massachusetts", "US"], ["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen", "Germany"], ["Peking University", "China"], ["University of Edinburgh", "UK"], ["University of Manchester", "UK"], ["University of California, Davis", "US"], ["The University of Sydney", "Australia"], ["Lomonosov Moscow State University", "Russian Federation"], ["Purdue University", "US"], ["Delft University of Technology", "Netherlands"], ["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", "Switzerland"], ["Middle East Technical University", "Turkey"], ["University of Minnesota", "US"], ["University of North Carolina at Chapel Hill", "US"], ["The Ohio State University", "US"], ["Osaka University", "Japan"], ["Pennsylvania State University", "US"], ["University of California, Santa Barbara", "US"], ["National Taiwan University", "Taiwan"], ["The Hong Kong University of Science and Technology", "Hong Kong"], ["Karolinska Institute", "Sweden"], ["Korea Advanced Institute of Science and Technology", "Korea, Republic Of"], ["Leiden University", "Netherlands"], ["University of S\u00e3o Paulo", "Brazil"], ["University of Southern California", "US"], ["Technische Universit\u00e4t M\u00fcnchen", "Germany"], ["Tohoku University", "Japan"], ["Tokyo Institute of Technology", "Japan"], ["Hebrew University of Jerusalem", "Israel"], ["Humboldt-Universit\u00e4t zu Berlin", "Germany"], ["Katholieke Universiteit Leuven", "Belgium"], ["Michigan State University", "US"], ["Nanyang Technological University", "Singapore"], ["Universit\u00e9 Paris-Sorbonne", "France"], ["University of Pittsburgh", "US"], ["The University of Queensland Australia", "Australia"], ["Universit\u00e4t Heidelberg", "Germany"], ["University of Amsterdam", "Netherlands"], ["Boston University", "US"], ["Brown University", "US"], ["The Chinese University of Hong Kong", "Hong Kong"], ["\u00c9cole Polytechnique", "France"], ["University of Florida", "US"], ["The University of New South Wales", "Australia"], ["Universit\u00e9 Pierre et Marie Curie", "France"], ["Rutgers, The State University of New Jersey", "US"], ["Utrecht University", "Netherlands"], ["Washington University in St Louis", "US"], ["University of Bristol", "UK"], ["Freie Universit\u00e4t Berlin", "Germany"], ["Lund University", "Sweden"], ["University of Maryland, College Park", "US"], ["Monash University", "Australia"], ["Universit\u00e9 Paris-Sud", "France"], ["Uppsala University", "Sweden"], ["Wageningen University and Research Center", "Netherlands"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case39_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case39_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------------------------------|
| Charleston School Of Law |
| University Of Southern California |
| Faulkner University |
| George Mason University |
| Rutgers University-Camden |
| University Of Colorado |
| University Of Denver |
| Harvard University |
| Washington University |
| George Washington University |
| University Of Miami |
| Fordham University |
| Texas Southern University |
| University of La Verne |
| Western New England College |
| University Of Puerto Rico |
| University Of Dayton |
| University Of Illinois |
| Atlanta's John Marshall Law School |
| Rutgers University-Newark |
| Northeastern University |
| University Of Oklahoma |
| University Of South Carolina |
| University Of Iowa |
| Indiana University - Bloomington |
| University Of Texas At Austin |
| St. John's University |
| Lewis And Clark College |
| American University |
| University Of Arkansas, Little Rock |
| Hofstra University |
| South Texas College Of Law |
| University of the Pacific, McGeorge School of Law |
| St. Louis University |
| Regent University |
| Loyola University-New Orleans |
| University Of Minnesota |
| Stetson University |
| Case Western Reserve University |
| Washington And Lee University |
| Mississippi College |
| Samford University |
| University Of Richmond |
| University Of North Carolina |
| Wake Forest University |
| Nova Southeastern University |
| Santa Clara University |
| Baylor University |
| John Marshall Law School |
| Texas Tech University |
| Northern Kentucky University |
| University Of California-Berkeley |
| Franklin Pierce Law Center |
| Loyola Law School, Los Angeles |
| Washburn University |
| Hamline University |
| University Of Mississippi |
| Widener University-Harrisburg |
| Ave Maria University School Of Law |
| University Of Missouri-Columbia |
| University Of Detroit Mercy |
| University Of Oregon |
| Temple University |
| University Of San Francisco |
| Widener University |
| Brooklyn Law School |
| Southern Illinois University-Carbondale |
| University Of Baltimore |
| University Of Arizona |
| University Of Virginia |
| Southern Methodist University |
| University Of Akron |
| Drake University |
| Seattle University |
| Cornell University |
| Thomas M. Cooley Law School |
| Touro College |
| University Of St. Thomas School Of Law |
| University Of Montana |
| University Of Tennessee |
| Pace University |
| Howard University |
| Florida International School Of Law |
| Liberty University |
| University Of Florida |
| Texas Wesleyan University |
| University Of Notre Dame |
| Yale University |
| CUA Columbus School of Law |
| University Of Pittsburgh |
| Gonzaga University |
| Appalachian School Of Law |
| University Of Louisville |
| New York Law School |
| Ohio State University |
| University Of Washington |
| St. Thomas University |
| University Of California-Hastings |
| University Of Connecticut |
| SMU Dedman School of Law |
| William And Mary School Of Law |
| University Of Wyoming |
| Arizona State University |
| Yeshiva University |
| Depaul University |
| University Of Wisconsin |
| Florida A&M School Of Law |
| Golden Gate University |
| Emory University |
| Florida State University |
| Loyola University-Chicago |
| Duke University |
| University Of Kansas |
| Wayne State University |
| Roger Williams University |
| University Of Memphis |
| Mercer University |
| University Of Alabama |
| Cleveland State University |
| University Of Maine |
| Vermont Law School |
| Boston University |
| Western State School Of Law |
| Thomas Jefferson School Of Law |
| Albany Law School Of Union University |
| University Of Kentucky |
| University Of Georgia |
| Vanderbilt University |
| University Of New Mexico |
| City University Of New York |
| Campbell University |
| Marquette University |
| New England School Of Law |
| Brigham Young University |
| Tufts University |
| Duquesne University |
| Louisiana State University |
| Illinois Institute Of Technology |
| St. Mary's University |
| District Of Columbia |
| Oklahoma City University |
| Chapman University School Of Law |
| Georgia State University |
| University Of San Diego |
| Stanford University |
| Michigan State University - Dcl College |
| Indiana University - Indianapolis |
| Willamette University |
| Drexel University |
| University Of North Dakota |
| North Carolina Central University |
| University Of California-Los Angeles |
| University Of Missouri-Kansas City |
| Pepperdine University |
| University Of Nebraska |
| University Of Houston |
| University Of Chicago |
| University Of Tulsa |
| Southwestern University |
| Southern University |
| Northwestern University |
| University Of Toledo |
| Florida Coastal School Of Law |
| Barry University |
| Georgetown University |
| Seton Hall University |
| University Of Utah |
| Quinnipiac College |
| Elon University |
| Valparaiso University |
| Capital University |
| Villanova University |
| Dickinson School Of Law, Penn State |
| University Of Cincinnati |
| Catholic University Of America |
| Columbia University |
| Creighton University |
| Tulane University |
| University Of Pennsylvania |
| New York University |
| West Virginia University |
| William S. Boyd School Of Law |
| Ohio Northern University |
| Syracuse University |
| University Of South Dakota |
| University Of Michigan |
| Whittier College |
| University Of Hawaii |
| University Of Maryland |
| University Of California-Davis |
| Boston College |
| University Of Arkansas, Fayetteville |
| California Western School Of Law |
| State University Of New York At Buffalo |
| University Of Idaho |
| Suffolk University |
| Northern Illinois University |
| William Mitchell College Of Law |
Input Table 2:
| Col_1 |
|:---------------------|
| North Carolina |
| Indiana |
| Wyoming |
| Utah |
| Arizona |
| Montana |
| Kentucky |
| California |
| Kansas |
| Florida |
| Delaware |
| Pennsylvania |
| Iowa |
| Mississippi |
| Texas |
| Illinois |
| Connecticut |
| Georgia |
| Virginia |
| Maryland |
| Idaho |
| Oregon |
| Vermont |
| Puerto Rico |
| Oklahoma |
| Maine |
| Tennessee |
| Alabama |
| Arkansas |
| South Carolina |
| Washington |
| Nebraska |
| West Virginia |
| Massachusetts |
| Colorado |
| Missouri |
| District Of Columbia |
| North Dakota |
| Wisconsin |
| Nevada |
| New York |
| Rhode Island |
| Hawaii |
| South Dakota |
| Minnesota |
| New Jersey |
| Michigan |
| New Mexico |
| New Hampshire |
| Louisiana |
| Ohio |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case29", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case29", "case": "Case29", "label": [["Albany Law School Of Union University", "New York"], ["American University", "District Of Columbia"], ["Appalachian School Of Law", "Virginia"], ["Arizona State University", "Arizona"], ["Atlanta's John Marshall Law School", "Georgia"], ["Ave Maria University School Of Law", "Florida"], ["Barry University", "Florida"], ["Baylor University", "Texas"], ["Boston College", "Massachusetts"], ["Boston University", "Massachusetts"], ["Brigham Young University", "Utah"], ["Brooklyn Law School", "New York"], ["California Western School Of Law", "California"], ["Campbell University", "North Carolina"], ["Capital University", "Ohio"], ["Case Western Reserve University", "Ohio"], ["Catholic University Of America", "District Of Columbia"], ["Chapman University School Of Law", "California"], ["Charleston School Of Law", "South Carolina"], ["City University Of New York", "New York"], ["Cleveland State University", "Ohio"], ["Columbia University", "New York"], ["Cornell University", "New York"], ["Creighton University", "Nebraska"], ["CUA Columbus School of Law", "District Of Columbia"], ["Depaul University", "Illinois"], ["Dickinson School Of Law, Penn State", "Pennsylvania"], ["District Of Columbia", "District Of Columbia"], ["Drake University", "Iowa"], ["Drexel University", "Pennsylvania"], ["Duke University", "North Carolina"], ["Duquesne University", "Pennsylvania"], ["Elon University", "North Carolina"], ["Emory University", "Georgia"], ["Faulkner University", "Alabama"], ["Florida A&M School Of Law", "Florida"], ["Florida Coastal School Of Law", "Florida"], ["Florida International School Of Law", "Florida"], ["Florida State University", "Florida"], ["Fordham University", "New York"], ["Franklin Pierce Law Center", "New Hampshire"], ["George Mason University", "Virginia"], ["George Washington University", "District Of Columbia"], ["Georgetown University", "District Of Columbia"], ["Georgia State University", "Georgia"], ["Golden Gate University", "California"], ["Gonzaga University", "Washington"], ["Hamline University", "Minnesota"], ["Harvard University", "Massachusetts"], ["Hofstra University", "New York"], ["Howard University", "District Of Columbia"], ["Illinois Institute Of Technology", "Illinois"], ["Indiana University - Bloomington", "Indiana"], ["Indiana University - Indianapolis", "Indiana"], ["John Marshall Law School", "Illinois"], ["Lewis And Clark College", "Oregon"], ["Liberty University", "Virginia"], ["Louisiana State University", "Louisiana"], ["Loyola Law School, Los Angeles", "California"], ["Loyola University-Chicago", "Illinois"], ["Loyola University-New Orleans", "Louisiana"], ["Marquette University", "Wisconsin"], ["Mercer University", "Georgia"], ["Michigan State University - Dcl College", "Michigan"], ["Mississippi College", "Mississippi"], ["New England School Of Law", "Massachusetts"], ["New York Law School", "New York"], ["New York University", "New York"], ["North Carolina Central University", "North Carolina"], ["Northeastern University", "Massachusetts"], ["Northern Illinois University", "Illinois"], ["Northern Kentucky University", "Kentucky"], ["Northwestern University", "Illinois"], ["Nova Southeastern University", "Florida"], ["Ohio Northern University", "Ohio"], ["Ohio State University", "Ohio"], ["Oklahoma City University", "Oklahoma"], ["Pace University", "New York"], ["Pepperdine University", "California"], ["Quinnipiac College", "Connecticut"], ["Regent University", "Virginia"], ["Roger Williams University", "Rhode Island"], ["Rutgers University-Camden", "New Jersey"], ["Rutgers University-Newark", "New Jersey"], ["Samford University", "Alabama"], ["Santa Clara University", "California"], ["Seattle University", "Washington"], ["Seton Hall University", "New Jersey"], ["SMU Dedman School of Law", "Texas"], ["South Texas College Of Law", "Texas"], ["Southern Illinois University-Carbondale", "Illinois"], ["Southern Methodist University", "Texas"], ["Southern University", "Louisiana"], ["Southwestern University", "California"], ["St. John's University", "New York"], ["St. Louis University", "Missouri"], ["St. Mary's University", "Texas"], ["St. Thomas University", "Florida"], ["Stanford University", "California"], ["State University Of New York At Buffalo", "New York"], ["Stetson University", "Florida"], ["Suffolk University", "Massachusetts"], ["Syracuse University", "New York"], ["Temple University", "Pennsylvania"], ["Texas Southern University", "Texas"], ["Texas Tech University", "Texas"], ["Texas Wesleyan University", "Texas"], ["Thomas Jefferson School Of Law", "California"], ["Thomas M. Cooley Law School", "Michigan"], ["Touro College", "New York"], ["Tufts University", "Massachusetts"], ["Tulane University", "Louisiana"], ["University Of Akron", "Ohio"], ["University Of Alabama", "Alabama"], ["University Of Arizona", "Arizona"], ["University Of Arkansas, Fayetteville", "Arkansas"], ["University Of Arkansas, Little Rock", "Arkansas"], ["University Of Baltimore", "Maryland"], ["University Of California-Berkeley", "California"], ["University Of California-Davis", "California"], ["University Of California-Hastings", "California"], ["University Of California-Los Angeles", "California"], ["University Of Chicago", "Illinois"], ["University Of Cincinnati", "Ohio"], ["University Of Colorado", "Colorado"], ["University Of Connecticut", "Connecticut"], ["University Of Dayton", "Ohio"], ["University Of Denver", "Colorado"], ["University Of Detroit Mercy", "Michigan"], ["University Of Florida", "Florida"], ["University Of Georgia", "Georgia"], ["University Of Hawaii", "Hawaii"], ["University Of Houston", "Texas"], ["University Of Idaho", "Idaho"], ["University Of Illinois", "Illinois"], ["University Of Iowa", "Iowa"], ["University Of Kansas", "Kansas"], ["University Of Kentucky", "Kentucky"], ["University of La Verne", "California"], ["University of La Verne", "California"], ["University Of Louisville", "Kentucky"], ["University Of Maine", "Maine"], ["University Of Maryland", "Maryland"], ["University Of Memphis", "Tennessee"], ["University Of Miami", "Florida"], ["University Of Michigan", "Michigan"], ["University Of Minnesota", "Minnesota"], ["University Of Mississippi", "Mississippi"], ["University Of Missouri-Columbia", "Missouri"], ["University Of Missouri-Kansas City", "Missouri"], ["University Of Montana", "Montana"], ["University Of Nebraska", "Nebraska"], ["University Of New Mexico", "New Mexico"], ["University Of North Carolina", "North Carolina"], ["University Of North Dakota", "North Dakota"], ["University Of Notre Dame", "Indiana"], ["University Of Oklahoma", "Oklahoma"], ["University Of Oregon", "Oregon"], ["University Of Pennsylvania", "Pennsylvania"], ["University Of Pittsburgh", "Pennsylvania"], ["University Of Puerto Rico", "Puerto Rico"], ["University Of Richmond", "Virginia"], ["University Of San Diego", "California"], ["University Of San Francisco", "California"], ["University Of South Carolina", "South Carolina"], ["University Of South Dakota", "South Dakota"], ["University Of Southern California", "California"], ["University Of St. Thomas School Of Law", "Minnesota"], ["University Of Tennessee", "Tennessee"], ["University Of Texas At Austin", "Texas"], ["University of the Pacific, McGeorge School of Law", "California"], ["University Of Toledo", "Ohio"], ["University Of Tulsa", "Oklahoma"], ["University Of Utah", "Utah"], ["University Of Virginia", "Virginia"], ["University Of Washington", "Washington"], ["University Of Wisconsin", "Wisconsin"], ["University Of Wyoming", "Wyoming"], ["Valparaiso University", "Indiana"], ["Vanderbilt University", "Tennessee"], ["Vermont Law School", "Vermont"], ["Villanova University", "Pennsylvania"], ["Wake Forest University", "North Carolina"], ["Washburn University", "Kansas"], ["Washington And Lee University", "Virginia"], ["Washington University", "Missouri"], ["Wayne State University", "Michigan"], ["West Virginia University", "West Virginia"], ["Western New England College", "Massachusetts"], ["Western State School Of Law", "California"], ["Whittier College", "California"], ["Widener University", "Delaware"], ["Widener University-Harrisburg", "Pennsylvania"], ["Willamette University", "Oregon"], ["William And Mary School Of Law", "Virginia"], ["William Mitchell College Of Law", "Minnesota"], ["William S. Boyd School Of Law", "Nevada"], ["Yale University", "Connecticut"], ["Yeshiva University", "New York"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case29_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case29_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------|
| USS Stout |
| USS Minnesota |
| USS Stethem |
| USS Tornado |
| USS Coronado |
| USS Normandy |
| USS America |
| USS Theodore Roosevelt |
| USS Nitze |
| USS Winston S. Churchill |
| USS Scranton |
| USS Russell |
| USS Typhoon |
| USS Harpers Ferry |
| USS Somerset |
| USS Hurricane |
| USS Albuquerque |
| USS Monterey |
| USS Farragut |
| USS Olympia |
| USS McFaul |
| USS Porter |
| USS Tucson |
| USS La Jolla |
| USS Independence |
| USS Newport News |
| USS Sirocco |
| USS Rhode Island |
| USS Dallas |
| USS Michael Murphy |
| USS New York |
| USS Michigan |
| USS Thunderbolt |
| USS Constitution |
| USS McCampbell |
| USS Cowpens |
| USS Bulkeley |
| USS Sterett |
| USS West Virginia |
| USS Dextrous |
| USS Buffalo |
| USS Abraham Lincoln |
| USS Alexandria |
| USS Albany |
| USS New Mexico |
| USS North Carolina |
| USS Gladiator |
| USS Makin Island |
| USS Ardent |
| USS Charlotte |
| USS Chief |
| USS Carter Hall |
| USS Antietam |
| USS Devastator |
| USS Missouri |
| USS Maryland |
| USS Comstock |
| USS Decatur |
| USS John Paul Jones |
| USS The Sullivans |
| USS Mesa Verde |
| USS Gravely |
| USS Princeton |
| USS Chosin |
| USS Fitzgerald |
| USS Alabama |
| USS Chancellorsville |
| USS Anzio |
| USS Hartford |
| USS Henry M. Jackson |
| USS Norfolk |
| USS Mason |
| USS Pinckney |
| USS Oklahoma City |
| USS San Diego |
| USS Tortuga |
| USS Vandegrift |
| USS Whirlwind |
| USS Tennessee |
| USS New Hampshire |
| USS Kauffman |
| USS Shamal |
| USS Simpson |
| USS Florida |
| USS Alaska |
| USS San Antonio |
| USS Ross |
| USS Paul Hamilton |
| USS Roosevelt |
| USS Freedom |
| USS Texas |
| USS Barry |
| USS Fort Worth |
| USS Hawaii |
| USS Scout |
| USS Wyoming |
| USS Bataan |
| USS Cheyenne |
| USS Elrod |
| USS Springfield |
| USS Mississippi |
| USS George H.W. Bush |
| USS McClusky |
| USS Blue Ridge |
| USS San Juan |
| USS Arlington |
| USS Columbus |
| USS Greeneville |
| USS Port Royal |
| USS Donald Cook |
| USS Toledo |
| USS Pioneer |
| USS Annapolis |
| USS Louisiana |
| USS Ponce |
| USS Firebolt |
| USS Jacksonville |
| USS Montpelier |
| USS Shoup |
| USS Nimitz |
| USS Ronald Reagan |
| USS Squall |
| USS Jason Dunham |
| USS Boxer |
| USS Bainbridge |
| USS Jimmy Carter |
| USS Germantown |
| USS Chafee |
| USS Pasadena |
| USS Lake Erie |
| USS Oak Hill |
| USS Taylor |
| USS Kearsarge |
| USS Ingraham |
| USS Milius |
| USS New Orleans |
| USS Kentucky |
| USS Gridley |
| USS California |
| USS Warrior |
| USS Maine |
| USS Ashland |
| USS William P. Lawrence |
| USS George Washington |
| USS City of Corpus Christi |
| USS Topeka |
| USS Hampton |
| USS Higgins |
| USS Cole |
| USS Samuel B. Roberts |
| USS Carney |
| USS Benfold |
| USS Tempest |
| USS Gunston Hall |
| USS Fort McHenry |
| USS Boise |
| USS Zephyr |
| USS Pennsylvania |
| USS Preble |
| USS Dewey |
| USS Hue City |
| USS Iwo Jima |
| USS Ohio |
| USS Jefferson City |
| USS Mount Whitney |
| USS Chicago |
| USS Peleliu |
| USS Chung-Hoon |
| USS Gonzalez |
| USS Philippine Sea |
| USS James E. Williams |
| USS Champion |
| USS Curtis Wilbur |
| USS Wasp |
| USS Houston |
| USS Forrest Sherman |
| USS Carl Vinson |
| USS Oscar Austin |
| USS Virginia |
| USS John C. Stennis |
| USS Helena |
| USS San Jacinto |
| USS Bremerton |
| USS Harry S. Truman |
| USS Bonhomme Richard |
| USS Spruance |
| USS Columbia |
| USS Gary |
| USS Rodney M. Davis |
| USS Anchorage |
| USS Asheville |
| USS Monsoon |
| USS Mustin |
| USS Connecticut |
| USS Dwight D. Eisenhower |
| USS Georgia |
| USS Louisville |
| USS Momsen |
| USS Lake Champlain |
| USS Essex |
| USS Patriot |
| USS Mahan |
| USS Bunker Hill |
| USS Emory S. Land |
| USS Rushmore |
| USS Laboon |
| USS Ramage |
| USS John S. McCain |
| USS Howard |
| USS Arleigh Burke |
| USS Nebraska |
| USS Whidbey Island |
| USS Pearl Harbor |
| USS Green Bay |
| USS Lassen |
| USS Pittsburgh |
| USS Kidd |
| USS Mobile Bay |
| USS Stockdale |
| USS Sampson |
| USS Mitscher |
| USS Vella Gulf |
| USS Cape St. George |
| USS Sentry |
| USS Truxtun |
| USS Shiloh |
| USS Frank Cable |
| USS Hopper |
| USS Halsey |
| USS Vicksburg |
| USS Providence |
| USS Wayne E. Meyer |
| USS Key West |
| USS San Francisco |
| USS Gettysburg |
| USS O'Kane |
| USS Pueblo |
| USS Nevada |
| USS Seawolf |
| USS Leyte Gulf |
| USS Santa Fe |
| USS Chinook |
Input Table 2:
| Col_1 |
|:----------------------|
| San Antonio |
| Avenger |
| Arleigh Burke |
| Emory S. Land |
| Tarawa |
| Cyclone |
| Banner |
| Independence |
| Nimitz |
| Austin |
| Seawolf |
| Freedom |
| Wasp |
| Oliver Hazard Perry |
| Whidbey Island |
| Harpers Ferry |
| America |
| Blue Ridge |
| Original six frigates |
| Ohio |
| Los Angeles |
| Virginia |
| Ticonderoga |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case47", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case47", "case": "Case47", "label": [["USS Abraham Lincoln", "Nimitz"], ["USS Alabama", "Ohio"], ["USS Alaska", "Ohio"], ["USS Albany", "Los Angeles"], ["USS Albuquerque", "Los Angeles"], ["USS Alexandria", "Los Angeles"], ["USS America", "America"], ["USS Anchorage", "San Antonio"], ["USS Annapolis", "Los Angeles"], ["USS Antietam", "Ticonderoga"], ["USS Anzio", "Ticonderoga"], ["USS Ardent", "Avenger"], ["USS Arleigh Burke", "Arleigh Burke"], ["USS Arlington", "San Antonio"], ["USS Asheville", "Los Angeles"], ["USS Ashland", "Whidbey Island"], ["USS Bainbridge", "Arleigh Burke"], ["USS Barry", "Arleigh Burke"], ["USS Bataan", "Wasp"], ["USS Benfold", "Arleigh Burke"], ["USS Blue Ridge", "Blue Ridge"], ["USS Boise", "Los Angeles"], ["USS Bonhomme Richard", "Wasp"], ["USS Boxer", "Wasp"], ["USS Bremerton", "Los Angeles"], ["USS Buffalo", "Los Angeles"], ["USS Bulkeley", "Arleigh Burke"], ["USS Bunker Hill", "Ticonderoga"], ["USS California", "Virginia"], ["USS Cape St. George", "Ticonderoga"], ["USS Carl Vinson", "Nimitz"], ["USS Carney", "Arleigh Burke"], ["USS Carter Hall", "Harpers Ferry"], ["USS Chafee", "Arleigh Burke"], ["USS Champion", "Avenger"], ["USS Chancellorsville", "Ticonderoga"], ["USS Charlotte", "Los Angeles"], ["USS Cheyenne", "Los Angeles"], ["USS Chicago", "Los Angeles"], ["USS Chief", "Avenger"], ["USS Chinook", "Cyclone"], ["USS Chosin", "Ticonderoga"], ["USS Chung-Hoon", "Arleigh Burke"], ["USS City of Corpus Christi", "Los Angeles"], ["USS Cole", "Arleigh Burke"], ["USS Columbia", "Los Angeles"], ["USS Columbus", "Los Angeles"], ["USS Comstock", "Whidbey Island"], ["USS Connecticut", "Seawolf"], ["USS Constitution", "Original six frigates"], ["USS Coronado", "Independence"], ["USS Cowpens", "Ticonderoga"], ["USS Curtis Wilbur", "Arleigh Burke"], ["USS Dallas", "Los Angeles"], ["USS Decatur", "Arleigh Burke"], ["USS Devastator", "Avenger"], ["USS Dewey", "Arleigh Burke"], ["USS Dextrous", "Avenger"], ["USS Donald Cook", "Arleigh Burke"], ["USS Dwight D. Eisenhower", "Nimitz"], ["USS Elrod", "Oliver Hazard Perry"], ["USS Emory S. Land", "Emory S. Land"], ["USS Essex", "Wasp"], ["USS Farragut", "Arleigh Burke"], ["USS Firebolt", "Cyclone"], ["USS Fitzgerald", "Arleigh Burke"], ["USS Florida", "Ohio"], ["USS Forrest Sherman", "Arleigh Burke"], ["USS Fort McHenry", "Whidbey Island"], ["USS Fort Worth", "Freedom"], ["USS Frank Cable", "Emory S. Land"], ["USS Freedom", "Freedom"], ["USS Gary", "Oliver Hazard Perry"], ["USS George Washington", "Nimitz"], ["USS George H.W. Bush", "Nimitz"], ["USS Georgia", "Ohio"], ["USS Germantown", "Whidbey Island"], ["USS Gettysburg", "Ticonderoga"], ["USS Gladiator", "Avenger"], ["USS Gonzalez", "Arleigh Burke"], ["USS Gravely", "Arleigh Burke"], ["USS Green Bay", "San Antonio"], ["USS Greeneville", "Los Angeles"], ["USS Gridley", "Arleigh Burke"], ["USS Gunston Hall", "Whidbey Island"], ["USS Halsey", "Arleigh Burke"], ["USS Hampton", "Los Angeles"], ["USS Harpers Ferry", "Harpers Ferry"], ["USS Harry S. Truman", "Nimitz"], ["USS Hartford", "Los Angeles"], ["USS Hawaii", "Virginia"], ["USS Helena", "Los Angeles"], ["USS Henry M. Jackson", "Ohio"], ["USS Higgins", "Arleigh Burke"], ["USS Hopper", "Arleigh Burke"], ["USS Houston", "Los Angeles"], ["USS Howard", "Arleigh Burke"], ["USS Hue City", "Ticonderoga"], ["USS Hurricane", "Cyclone"], ["USS Independence", "Independence"], ["USS Ingraham", "Oliver Hazard Perry"], ["USS Iwo Jima", "Wasp"], ["USS Jacksonville", "Los Angeles"], ["USS James E. Williams", "Arleigh Burke"], ["USS Jason Dunham", "Arleigh Burke"], ["USS Jefferson City", "Los Angeles"], ["USS Jimmy Carter", "Seawolf"], ["USS John C. Stennis", "Nimitz"], ["USS John Paul Jones", "Arleigh Burke"], ["USS John S. McCain", "Arleigh Burke"], ["USS Kauffman", "Oliver Hazard Perry"], ["USS Kearsarge", "Wasp"], ["USS Kentucky", "Ohio"], ["USS Key West", "Los Angeles"], ["USS Kidd", "Arleigh Burke"], ["USS La Jolla", "Los Angeles"], ["USS Laboon", "Arleigh Burke"], ["USS Lake Champlain", "Ticonderoga"], ["USS Lake Erie", "Ticonderoga"], ["USS Lassen", "Arleigh Burke"], ["USS Leyte Gulf", "Ticonderoga"], ["USS Louisiana", "Ohio"], ["USS Louisville", "Los Angeles"], ["USS Mahan", "Arleigh Burke"], ["USS Maine", "Ohio"], ["USS Makin Island", "Wasp"], ["USS Maryland", "Ohio"], ["USS Mason", "Arleigh Burke"], ["USS McCampbell", "Arleigh Burke"], ["USS McClusky", "Oliver Hazard Perry"], ["USS McFaul", "Arleigh Burke"], ["USS Mesa Verde", "San Antonio"], ["USS Michael Murphy", "Arleigh Burke"], ["USS Michigan", "Ohio"], ["USS Milius", "Arleigh Burke"], ["USS Minnesota", "Virginia"], ["USS Mississippi", "Virginia"], ["USS Missouri", "Virginia"], ["USS Mitscher", "Arleigh Burke"], ["USS Mobile Bay", "Ticonderoga"], ["USS Momsen", "Arleigh Burke"], ["USS Monsoon", "Cyclone"], ["USS Monterey", "Ticonderoga"], ["USS Montpelier", "Los Angeles"], ["USS Mount Whitney", "Blue Ridge"], ["USS Mustin", "Arleigh Burke"], ["USS Nebraska", "Ohio"], ["USS Nevada", "Ohio"], ["USS New Hampshire", "Virginia"], ["USS New Mexico", "Virginia"], ["USS New Orleans", "San Antonio"], ["USS New York", "San Antonio"], ["USS Newport News", "Los Angeles"], ["USS Nimitz", "Nimitz"], ["USS Nitze", "Arleigh Burke"], ["USS Norfolk", "Los Angeles"], ["USS Normandy", "Ticonderoga"], ["USS North Carolina", "Virginia"], ["USS O'Kane", "Arleigh Burke"], ["USS Oak Hill", "Harpers Ferry"], ["USS Ohio", "Ohio"], ["USS Oklahoma City", "Los Angeles"], ["USS Olympia", "Los Angeles"], ["USS Oscar Austin", "Arleigh Burke"], ["USS Pasadena", "Los Angeles"], ["USS Patriot", "Avenger"], ["USS Paul Hamilton", "Arleigh Burke"], ["USS Pearl Harbor", "Harpers Ferry"], ["USS Peleliu", "Tarawa"], ["USS Pennsylvania", "Ohio"], ["USS Philippine Sea", "Ticonderoga"], ["USS Pinckney", "Arleigh Burke"], ["USS Pioneer", "Avenger"], ["USS Pittsburgh", "Los Angeles"], ["USS Ponce", "Austin"], ["USS Port Royal", "Ticonderoga"], ["USS Porter", "Arleigh Burke"], ["USS Preble", "Arleigh Burke"], ["USS Princeton", "Ticonderoga"], ["USS Providence", "Los Angeles"], ["USS Pueblo", "Banner"], ["USS Ramage", "Arleigh Burke"], ["USS Rhode Island", "Ohio"], ["USS Rodney M. Davis", "Oliver Hazard Perry"], ["USS Ronald Reagan", "Nimitz"], ["USS Roosevelt", "Arleigh Burke"], ["USS Ross", "Arleigh Burke"], ["USS Rushmore", "Whidbey Island"], ["USS Russell", "Arleigh Burke"], ["USS Sampson", "Arleigh Burke"], ["USS Samuel B. Roberts", "Oliver Hazard Perry"], ["USS San Antonio", "San Antonio"], ["USS San Diego", "San Antonio"], ["USS San Francisco", "Los Angeles"], ["USS San Jacinto", "Ticonderoga"], ["USS San Juan", "Los Angeles"], ["USS Santa Fe", "Los Angeles"], ["USS Scout", "Avenger"], ["USS Scranton", "Los Angeles"], ["USS Seawolf", "Seawolf"], ["USS Sentry", "Avenger"], ["USS Shamal", "Cyclone"], ["USS Shiloh", "Ticonderoga"], ["USS Shoup", "Arleigh Burke"], ["USS Simpson", "Oliver Hazard Perry"], ["USS Sirocco", "Cyclone"], ["USS Somerset", "San Antonio"], ["USS Springfield", "Los Angeles"], ["USS Spruance", "Arleigh Burke"], ["USS Squall", "Cyclone"], ["USS Sterett", "Arleigh Burke"], ["USS Stethem", "Arleigh Burke"], ["USS Stockdale", "Arleigh Burke"], ["USS Stout", "Arleigh Burke"], ["USS Taylor", "Oliver Hazard Perry"], ["USS Tempest", "Cyclone"], ["USS Tennessee", "Ohio"], ["USS Texas", "Virginia"], ["USS The Sullivans", "Arleigh Burke"], ["USS Theodore Roosevelt", "Nimitz"], ["USS Thunderbolt", "Cyclone"], ["USS Toledo", "Los Angeles"], ["USS Topeka", "Los Angeles"], ["USS Tornado", "Cyclone"], ["USS Tortuga", "Whidbey Island"], ["USS Truxtun", "Arleigh Burke"], ["USS Tucson", "Los Angeles"], ["USS Typhoon", "Cyclone"], ["USS Vandegrift", "Oliver Hazard Perry"], ["USS Vella Gulf", "Ticonderoga"], ["USS Vicksburg", "Ticonderoga"], ["USS Virginia", "Virginia"], ["USS Warrior", "Avenger"], ["USS Wasp", "Wasp"], ["USS Wayne E. Meyer", "Arleigh Burke"], ["USS West Virginia", "Ohio"], ["USS Whidbey Island", "Whidbey Island"], ["USS Whirlwind", "Cyclone"], ["USS William P. Lawrence", "Arleigh Burke"], ["USS Winston S. Churchill", "Arleigh Burke"], ["USS Wyoming", "Ohio"], ["USS Zephyr", "Cyclone"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case47_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case47_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Methane |
| Water |
| Lead (IV) Bromide |
| Copper (II) Nitrate |
| Zince Sulfide |
| Iron (II) Sulfide |
| Ammonium Sulfide |
| Copper (II) sulfate |
| Silver Chromate |
| Magnesium Chromate |
| Carbon monoxide |
| Silver Hydroxide |
| Ammonium Bromide |
| Iron (II) Acetate |
| Mercury (I) Acetate |
| Potassium Carbonate |
| Calcium Sulfate |
| Iron (II) Sulfate |
| Potassium Iodide |
| Zinc Chloride |
| Barium Hydroxide |
| Calcium Carbonate |
| Iron (III) Phosphate |
| Lead (II) Nitrate |
| Zinc Acetate |
| Mercury (II) Nitrate |
| Mercury (I) Chromate |
| Ammonium Acetate |
| Sodium Nitrate |
| Calcium Sulfide |
| Lead (IV) Iodide |
| Lead (IV) Sulfate |
| Aluminum Hydroxide |
| Mercury (I) Sulfide |
| Iron (III) Iodide |
| Potassium Nitrate |
| Hydrogen sulfide |
| Mercury (II) Chromate |
| Zinc Bromide |
| Zinc Sulfate |
| Oxygen |
| Potassium Phosphate |
| Barium Sulfate |
| Lead (IV) Sulfide |
| Copper (II) Chromate |
| Sodium Chromate |
| Copper (II) Chloride |
| Sodium Iodide |
| Barium Sulfide |
| Lead (II) Hydroxide |
| Aluminum Sulfide |
| Iron (II) Carbonate |
| Mercury (II) Iodide |
| Ammonium Phosphate |
| Copper (II) Carbonate |
| Lead (IV) Chromate |
| Lead (IV) Hydroxide |
| Iron (III) Nitate |
| Aluminum Chromate |
| Iron (III) Hydroxide |
| Barium Nitrate |
| Silver Sulfate |
| Silver Sulfide |
| Ammonium Carbonate |
| Lead (II) Iodide |
| Magnesium Acetate |
| Aluminum Sulfate |
| Lead (II) Chromate |
| Lead (II) Chloride |
| Sodium Phosphate |
| Iron (II) Phosphate |
| Calcium Acetate |
| Sulfur dioxide |
| Magnesium Hydroxide |
| Copper (II) Sulfide |
| Sodium Sulfide |
| Iron (II) Chromate |
| Copper (II) Phosphate |
| Mercury (I) Phosphate |
| Hydrogen fluoride |
| Iron (II) Chloride |
| Calcium Bromide |
| Calcium Chloride |
| Silver Nitrate |
| Chlorine |
| Mercury (I) Carbonate |
| Calcium Chromate |
| Nitrogen |
| Ammonia |
| Merucry (II) Chloride |
| Iron (II) NItrate |
| Mercury (I) Iodide |
| Iron (II) Bromide |
| Copper (II) Sulfate |
| Aluminum Nitrate |
| Sodium Sulfate |
| Aluminum Carbonate |
| Aluminum Iodide |
| Lead (II) oxide |
| Zinc Hydroxide |
| Potassium Sulfate |
| Hydrogen iodide |
| Carbon dioxide |
| Sodium Carbonate |
| Lead (II) Sulfide |
| Aluminum Phosphate |
| Mercury (I) Nitrate |
| Calcium Hydroxide |
| Copper (II) Bromide |
| Barium Chromate |
| Ethyne (acetylene) |
| Magnesium Phosphate |
| Silver Carbonate |
| Ammonium Chloride |
| Aluminun oxide |
| Merucry (I) Chloride |
| Lead (IV) Nitrate |
| Aluminum Chloride |
| Ammonium Nitrate |
| Sodium Bromide |
| Lead (II) Carbonate |
| Lead (IV) Phosphate |
| Copper (II) Acetate |
| Zinc Nitrate |
| Barium Phosphate |
| Potassium Chloride |
| Potassium Sulfide |
| Potassium chloride |
| Iron (II) Iodide |
| Mercury (II) Bromide |
| Potassium Acetate |
| Lead (II) Acetate |
| Iron (III) Chloride |
| Iron (III) Chromate |
| Potassium Chromate |
| Hydrogen chloride |
| Silver Acetate |
| Silver Phosphate |
| Potassium Hydroxide |
| Sodium Acetate |
| Copper (II) Iodide |
| Merucry (I) Hydroxide |
| Magnesium Bromide |
| Sodium Chloride |
| Calcium Nitrate |
| Silver Bromide |
| Aluminum Acetate |
| Sodium chloride |
| Lead (II) Phosphate |
| Iodine chloride |
| Aluminum Bromide |
| Barium Carbonate |
| Iron (III) Acetate |
| Mercury (II) Hydroxide |
| Calcium Iodide |
| Silver Chloride |
| Magnesium Sulfate |
| Merucry (II) Sulfate |
| Barium Acetate |
| Barium Chloride |
| Magnesium Chloride |
| Zinc Chromate |
| Mercury (II) Phosphate |
| Iron (III) Bromide |
| Nitrogen (IV) oxide |
| Barium Bromide |
| Magnesium Sulfide |
| Magnesium oxide |
| Barium Iodide |
| Copper (II) Hydroxide |
| Ethene (ethylene) |
| Ammonium Iodide |
| Merucry (II) Acetate |
| Zinc Phosphate |
| Calcium hydroxide |
| Nitrogen (II) oxide |
| Hydrogen |
| Silver Iodide |
| Mercury (II) Carbonate |
| Mercury (I) Sulfate |
| Zinc Iodide |
| Iron (III) Sulfide |
| Magnesium Nitrate |
| Iron (III) Sulfate |
| Lead (II) Bromide |
| Magnesium Carbonate |
| Potassium Bromide |
| Magnesium Iodide |
| Ammonium Chromate |
| Ammonium Sulfate |
| Mercury (II) Sulfide |
| Ethane |
| Lead (II) Sulfate |
| Mercury (I) Bromide |
| Lead (IV) Acetate |
| Iron (III) Carbonate |
| Iron (II) Hydroxide |
| Ammonium Hydroxide |
| Sodium Hydroxide |
| Calcium Phosphate |
| Zinc Carbonate |
Input Table 2:
| Col_1 |
|:------------|
| CuS |
| FeCO3 |
| Hg3PO4 |
| Pb(C2H3O2)2 |
| Al2S3 |
| Pb(C2H3O2)4 |
| FeI3 |
| FeI2 |
| FeSO4 |
| KCl |
| CuBr2 |
| CaI2 |
| Fe(C2H3O2)2 |
| ZnCrO4 |
| Mg(OH)2 |
| AlPO4 |
| Fe2(SO4)3 |
| Fe3(PO4)2 |
| Pb3(PO4)2 |
| Pb3(PO4)4 |
| Fe(C2H3O2)3 |
| Mg(NO3)2 |
| KNO3 |
| HgI2 |
| ZnCO3 |
| CaCl2 |
| Ag2CrO4 |
| AlBr3 |
| CuSO4 |
| KC2H3O2 |
| HgBr2 |
| MgI2 |
| CO |
| Ca3(PO4)2 |
| CH4 |
| (NH4)3PO4 |
| PbO |
| MgCrO4 |
| AgOH |
| PbS |
| AgC2H3O2 |
| K2CrO4 |
| K2SO4 |
| AlI3 |
| FeBr2 |
| FeBr3 |
| Pb(CO3)2 |
| Al2O3 |
| NO2 |
| Al(C2H3O2)3 |
| ICl |
| CuCO3 |
| PbSO4 |
| Pb(SO4)2 |
| K2CO3 |
| Al(OH)3 |
| HgCrO4 |
| Na2CO3 |
| MgCl2 |
| ZnSO4 |
| H2O |
| Zn(C2H3O2)2 |
| H2S |
| Fe(NO3)3 |
| Fe(NO3)2 |
| Cu(C2H3O2)2 |
| Zn(NO3)2 |
| Na2SO4 |
| PbI4 |
| Fe2S3 |
| PbI2 |
| AgI |
| CuCrO4 |
| Cl2 |
| NaOH |
| Ba(NO3)2 |
| ZnBr2 |
| Fe(OH)3 |
| BaBr2 |
| Fe(OH)2 |
| HCl |
| Ba(OH)2 |
| FeCrO4 |
| NaI |
| NH4C2H3O2 |
| FePO4 |
| PbBr2 |
| Ag3PO4 |
| PbBr4 |
| Zn(OH)2 |
| H2 |
| Cu(NO3)2 |
| Al2(CO3)3 |
| HF |
| HI |
| Ca(C2H3O2)2 |
| HgI |
| Ca(OH)2 |
| (NH4)2CrO4 |
| (NH4)2CO3 |
| CuCl2 |
| Mg3(PO4)2 |
| HgS |
| HgOH |
| (NH4)2SO4 |
| MgCO3 |
| Zn2(PO4)2 |
| Hg2SO4 |
| Ba3(PO4)2 |
| AgBr |
| Al2(SO4)3 |
| MgSO4 |
| HgNO3 |
| Ag2S |
| CuI2 |
| CO2 |
| BaCO3 |
| Hg3(PO4)2 |
| AgNO3 |
| AgCl |
| Na2S |
| FeS |
| BaSO4 |
| SO2 |
| AlCl3 |
| CaBr2 |
| (NH4)2S |
| Hg(NO3)2 |
| KI |
| NaC2H3O2 |
| Na2CrO4 |
| PbCO3 |
| C2H6 |
| Hg2CrO4 |
| C2H4 |
| BaCrO4 |
| KOH |
| C2H2 |
| HgCl2 |
| ZnI2 |
| Ba(C2H3O2)2 |
| ZnS |
| NH4OH |
| FeCl3 |
| Ag2SO4 |
| FeCl2 |
| Al2(CrO4)3 |
| Cu3(PO4)2 |
| CaS |
| Pb(NO3)4 |
| Pb(NO3)2 |
| Fe2(CrO4)3 |
| Pb(OH)4 |
| Pb(OH)2 |
| N2 |
| MgBr2 |
| NaBr |
| NaNO3 |
| PbCrO4 |
| NH4Cl |
| NH4NO3 |
| HgC2H3O2 |
| Ag2CO3 |
| BaI2 |
| NH3 |
| NaCl |
| NO |
| O2 |
| BaCl2 |
| NH4Br |
| CaSO4 |
| Hg(C2H3O2)2 |
| HgCl |
| Ca(NO3)2 |
| ZnCl2 |
| MgO |
| CaCO3 |
| Hg2CO3 |
| BaS |
| MgS |
| CaCrO4 |
| Cu(OH)2 |
| Na3PO4 |
| Al(NO3)3 |
| Hg2S |
| PbCl2 |
| Fe2(CO3)3 |
| Mg(C2H3O2)2 |
| NH4I |
| HgBr |
| K2S |
| HgCO3 |
| K3PO4 |
| PbS2 |
| Hg(OH)2 |
| KBr |
| HgSO4 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case8", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case8", "case": "Case8", "label": [["Ammonia", "NH3"], ["Carbon dioxide", "CO2"], ["Carbon monoxide", "CO"], ["Chlorine", "Cl2"], ["Hydrogen chloride", "HCl"], ["Hydrogen", "H2"], ["Hydrogen sulfide", "H2S"], ["Methane", "CH4"], ["Nitrogen", "N2"], ["Nitrogen (II) oxide", "NO"], ["Oxygen", "O2"], ["Sulfur dioxide", "SO2"], ["Aluminun oxide", "Al2O3"], ["Barium Sulfate", "BaSO4"], ["Calcium hydroxide", "Ca(OH)2"], ["Copper (II) sulfate", "CuSO4"], ["Ethane", "C2H6"], ["Ethene (ethylene)", "C2H4"], ["Ethyne (acetylene)", "C2H2"], ["Hydrogen fluoride", "HF"], ["Hydrogen iodide", "HI"], ["Iodine chloride", "ICl"], ["Lead (II) oxide", "PbO"], ["Magnesium oxide", "MgO"], ["Nitrogen (II) oxide", "NO"], ["Nitrogen (IV) oxide", "NO2"], ["Potassium chloride", "KCl"], ["Sodium chloride", "NaCl"], ["Sulfur dioxide", "SO2"], ["Water", "H2O"], ["Aluminum Bromide", "AlBr3"], ["Aluminum Carbonate", "Al2(CO3)3"], ["Aluminum Chloride", "AlCl3"], ["Aluminum Chromate", "Al2(CrO4)3"], ["Aluminum Hydroxide", "Al(OH)3"], ["Aluminum Iodide", "AlI3"], ["Aluminum Nitrate", "Al(NO3)3"], ["Aluminum Phosphate", "AlPO4"], ["Aluminum Sulfate", "Al2(SO4)3"], ["Aluminum Sulfide", "Al2S3"], ["Ammonium Acetate", "NH4C2H3O2"], ["Ammonium Bromide", "NH4Br"], ["Ammonium Carbonate", "(NH4)2CO3"], ["Ammonium Chloride", "NH4Cl"], ["Ammonium Chromate", "(NH4)2CrO4"], ["Ammonium Hydroxide", "NH4OH"], ["Ammonium Iodide", "NH4I"], ["Ammonium Nitrate", "NH4NO3"], ["Ammonium Phosphate", "(NH4)3PO4"], ["Ammonium Sulfate", "(NH4)2SO4"], ["Ammonium Sulfide", "(NH4)2S"], ["Barium Acetate", "Ba(C2H3O2)2"], ["Barium Bromide", "BaBr2"], ["Barium Carbonate", "BaCO3"], ["Barium Chloride", "BaCl2"], ["Barium Chromate", "BaCrO4"], ["Barium Hydroxide", "Ba(OH)2"], ["Barium Iodide", "BaI2"], ["Barium Nitrate", "Ba(NO3)2"], ["Barium Phosphate", "Ba3(PO4)2"], ["Barium Sulfate", "BaSO4"], ["Barium Sulfide", "BaS"], ["Calcium Acetate", "Ca(C2H3O2)2"], ["Calcium Bromide", "CaBr2"], ["Calcium Carbonate", "CaCO3"], ["Calcium Chloride", "CaCl2"], ["Calcium Chromate", "CaCrO4"], ["Calcium Hydroxide", "Ca(OH)2"], ["Calcium Iodide", "CaI2"], ["Calcium Nitrate", "Ca(NO3)2"], ["Calcium Phosphate", "Ca3(PO4)2"], ["Calcium Sulfate", "CaSO4"], ["Calcium Sulfide", "CaS"], ["Copper (II) Acetate", "Cu(C2H3O2)2"], ["Copper (II) Bromide", "CuBr2"], ["Copper (II) Carbonate", "CuCO3"], ["Copper (II) Chloride", "CuCl2"], ["Copper (II) Chromate", "CuCrO4"], ["Copper (II) Hydroxide", "Cu(OH)2"], ["Copper (II) Iodide", "CuI2"], ["Copper (II) Nitrate", "Cu(NO3)2"], ["Copper (II) Phosphate", "Cu3(PO4)2"], ["Copper (II) Sulfate", "CuSO4"], ["Copper (II) Sulfide", "CuS"], ["Iron (II) Acetate", "Fe(C2H3O2)2"], ["Iron (II) Bromide", "FeBr2"], ["Iron (II) Carbonate", "FeCO3"], ["Iron (II) Chloride", "FeCl2"], ["Iron (II) Chromate", "FeCrO4"], ["Iron (II) Hydroxide", "Fe(OH)2"], ["Iron (II) Iodide", "FeI2"], ["Iron (II) NItrate", "Fe(NO3)2"], ["Iron (II) Phosphate", "Fe3(PO4)2"], ["Iron (II) Sulfate", "FeSO4"], ["Iron (II) Sulfide", "FeS"], ["Iron (III) Acetate", "Fe(C2H3O2)3"], ["Iron (III) Bromide", "FeBr3"], ["Iron (III) Carbonate", "Fe2(CO3)3"], ["Iron (III) Chloride", "FeCl3"], ["Iron (III) Chromate", "Fe2(CrO4)3"], ["Iron (III) Hydroxide", "Fe(OH)3"], ["Iron (III) Iodide", "FeI3"], ["Iron (III) Nitate", "Fe(NO3)3"], ["Iron (III) Phosphate", "FePO4"], ["Iron (III) Sulfate", "Fe2(SO4)3"], ["Iron (III) Sulfide", "Fe2S3"], ["Magnesium Acetate", "Mg(C2H3O2)2"], ["Magnesium Bromide", "MgBr2"], ["Magnesium Carbonate", "MgCO3"], ["Magnesium Chloride", "MgCl2"], ["Magnesium Chromate", "MgCrO4"], ["Magnesium Hydroxide", "Mg(OH)2"], ["Magnesium Iodide", "MgI2"], ["Magnesium Nitrate", "Mg(NO3)2"], ["Magnesium Phosphate", "Mg3(PO4)2"], ["Magnesium Sulfate", "MgSO4"], ["Magnesium Sulfide", "MgS"], ["Mercury (I) Acetate", "HgC2H3O2"], ["Mercury (I) Bromide", "HgBr"], ["Mercury (I) Carbonate", "Hg2CO3"], ["Merucry (I) Chloride", "HgCl"], ["Mercury (I) Chromate", "Hg2CrO4"], ["Merucry (I) Hydroxide", "HgOH"], ["Mercury (I) Iodide", "HgI"], ["Mercury (I) Nitrate", "HgNO3"], ["Mercury (I) Phosphate", "Hg3PO4"], ["Mercury (I) Sulfate", "Hg2SO4"], ["Mercury (I) Sulfide", "Hg2S"], ["Merucry (II) Acetate", "Hg(C2H3O2)2"], ["Mercury (II) Bromide", "HgBr2"], ["Mercury (II) Carbonate", "HgCO3"], ["Merucry (II) Chloride", "HgCl2"], ["Mercury (II) Chromate", "HgCrO4"], ["Mercury (II) Hydroxide", "Hg(OH)2"], ["Mercury (II) Iodide", "HgI2"], ["Mercury (II) Nitrate", "Hg(NO3)2"], ["Mercury (II) Phosphate", "Hg3(PO4)2"], ["Merucry (II) Sulfate", "HgSO4"], ["Mercury (II) Sulfide", "HgS"], ["Potassium Acetate", "KC2H3O2"], ["Potassium Bromide", "KBr"], ["Potassium Carbonate", "K2CO3"], ["Potassium Chloride", "KCl"], ["Potassium Chromate", "K2CrO4"], ["Potassium Hydroxide", "KOH"], ["Potassium Iodide", "KI"], ["Potassium Nitrate", "KNO3"], ["Potassium Phosphate", "K3PO4"], ["Potassium Sulfate", "K2SO4"], ["Potassium Sulfide", "K2S"], ["Silver Acetate", "AgC2H3O2"], ["Silver Bromide", "AgBr"], ["Silver Carbonate", "Ag2CO3"], ["Silver Chloride", "AgCl"], ["Silver Chromate", "Ag2CrO4"], ["Silver Hydroxide", "AgOH"], ["Silver Iodide", "AgI"], ["Silver Nitrate", "AgNO3"], ["Silver Phosphate", "Ag3PO4"], ["Silver Sulfate", "Ag2SO4"], ["Silver Sulfide", "Ag2S"], ["Sodium Acetate", "NaC2H3O2"], ["Sodium Bromide", "NaBr"], ["Sodium Carbonate", "Na2CO3"], ["Sodium Chloride", "NaCl"], ["Sodium Chromate", "Na2CrO4"], ["Sodium Hydroxide", "NaOH"], ["Sodium Iodide", "NaI"], ["Sodium Nitrate", "NaNO3"], ["Sodium Phosphate", "Na3PO4"], ["Sodium Sulfate", "Na2SO4"], ["Sodium Sulfide", "Na2S"], ["Zinc Acetate", "Zn(C2H3O2)2"], ["Zinc Bromide", "ZnBr2"], ["Zinc Carbonate", "ZnCO3"], ["Zinc Chloride", "ZnCl2"], ["Zinc Chromate", "ZnCrO4"], ["Zinc Hydroxide", "Zn(OH)2"], ["Zinc Iodide", "ZnI2"], ["Zinc Nitrate", "Zn(NO3)2"], ["Zinc Phosphate", "Zn2(PO4)2"], ["Zinc Sulfate", "ZnSO4"], ["Zince Sulfide", "ZnS"], ["Lead (II) Acetate", "Pb(C2H3O2)2"], ["Lead (II) Bromide", "PbBr2"], ["Lead (II) Carbonate", "PbCO3"], ["Lead (II) Chloride", "PbCl2"], ["Lead (II) Chromate", "PbCrO4"], ["Lead (II) Hydroxide", "Pb(OH)2"], ["Lead (II) Iodide", "PbI2"], ["Lead (II) Nitrate", "Pb(NO3)2"], ["Lead (II) Phosphate", "Pb3(PO4)2"], ["Lead (II) Sulfate", "PbSO4"], ["Lead (II) Sulfide", "PbS"], ["Lead (IV) Acetate", "Pb(C2H3O2)4"], ["Lead (IV) Bromide", "PbBr4"], ["Lead (IV) Chromate", "Pb(CO3)2"], ["Lead (IV) Hydroxide", "Pb(OH)4"], ["Lead (IV) Iodide", "PbI4"], ["Lead (IV) Nitrate", "Pb(NO3)4"], ["Lead (IV) Phosphate", "Pb3(PO4)4"], ["Lead (IV) Sulfate", "Pb(SO4)2"], ["Lead (IV) Sulfide", "PbS2"], ["Aluminum Acetate", "Al(C2H3O2)3"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case8_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case8_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------------------------------------------------------|
| Marlboro College |
| Dalton State College |
| Trevecca Nazarene University |
| Messiah College |
| Medical University of South Carolina |
| Faulkner University |
| Sierra Nevada College |
| University of Hartford |
| Washington and Lee University |
| Belhaven University |
| McMurry University |
| Centre College |
| Franklin College |
| George Washington University |
| Metropolitan State University |
| Harrisburg University of Science and Technology |
| Michigan State University |
| Eastern New Mexico University |
| Dordt College |
| University of Toledo |
| Clear Creek Baptist Bible College |
| Fordham University |
| Green Mountain College |
| Dakota Wesleyan University |
| Dunwoody College of Technology |
| Virginia Wesleyan College |
| Indiana University of Pennsylvania |
| University of Virginia |
| Southeast Missouri State University |
| Athens State University |
| Northern New Mexico College |
| Pittsburg State University |
| Graceland University |
| Walsh University |
| Spelman College |
| Berea College |
| Illinois State University |
| Mount St. Mary's College |
| University of Utah |
| Academy of Art University |
| Oklahoma Christian University |
| Missouri Western State University |
| Bethel College |
| Ursuline College |
| College for Creative Studies |
| Blue Mountain College |
| Rhode Island School of Design |
| Waldorf College |
| Allen University |
| Albany State University |
| Ave Maria University |
| Chadron State College |
| Maranatha Baptist Bible College |
| Pacific Union College |
| Allen College |
| Fort Lewis College |
| University of Rhode Island |
| La Roche College |
| Manchester University |
| Pennsylvania College of Art and Design |
| Colorado Christian University |
| Wells College |
| University of Mary |
| Kentucky State University |
| Angelo State University |
| Ohio Valley University |
| Wartburg College |
| Biola University |
| Meredith College |
| St. Lawrence University |
| Art Academy of Cincinnati |
| Framingham State University |
| Southwestern Adventist University |
| East Stroudsburg University of Pennsylvania |
| Brewton-Parker College |
| Colby-Sawyer College |
| Millersville University of Pennsylvania |
| Florida Gulf Coast University |
| Soka University of America |
| Kennesaw State University |
| United States Military Academy |
| Lakeview College of Nursing |
| Maine Maritime Academy |
| Webb Institute |
| Lindsey Wilson College |
| Middlebury College |
| New Orleans Baptist Theological Seminary |
| Texas Tech University |
| Northern Kentucky University |
| Dickinson College |
| Ashland University |
| Point Park University |
| Longwood University |
| Swarthmore College |
| Hamline University |
| Eastern Michigan University |
| Divine Word College |
| Metropolitan College of New York |
| University of Denver |
| Manhattan College |
| Ohio Wesleyan University |
| Simmons College |
| Converse College |
| University of Kentucky |
| Kansas State University |
| Temple University |
| Nichols College |
| Oglethorpe University |
| Kentucky Christian University |
| Alderson Broaddus University |
| Hodges University |
| Cleveland Institute of Music |
| Nyack College |
| Unity College |
| Muhlenberg College |
| Cornish College of the Arts |
| East Tennessee State University |
| Castleton State College |
| University of Southern Maine |
| Arcadia University |
| University of Tennessee |
| University of the District of Columbia |
| Misericordia University |
| Edward Waters College |
| Rowan University |
| Seattle University |
| Hillsdale College |
| York College of Pennsylvania |
| Hebrew Theological College |
| Westminster College |
| Hamilton College |
| Touro College |
| Lake Forest College |
| Grace College and Seminary |
| Salem State University |
| Indiana University Southeast |
| Barnard College |
| Furman University |
| Nicholls State University |
| Hampshire College |
| Idaho State University |
| Indiana State University |
| Marian University |
| Montclair State University |
| Capella University |
| Boise State University |
| Chatham University |
| Monmouth University |
| Alma College |
| Christopher Newport University |
| Lynn University |
| Centenary College of Louisiana |
| Clarkson University |
| Malone University |
| Lander University |
| Texas Wesleyan University |
| Yale University |
| University of Mary Hardin-Baylor |
| University of Northern Iowa |
| Northwest University |
| DePauw University |
| Loyola Marymount University |
| Massachusetts College of Art and Design |
| Hampden-Sydney College |
| Gettysburg College |
| Lewis & Clark College |
| Carson-Newman University |
| Bluefield State College |
| Averett University |
| Lawrence University |
| Pennsylvania College of Technology |
| Adventist University of Health Sciences |
| LeMoyne-Owen College |
| Southwest University of Visual Arts |
| D'Youville College |
| Anna Maria College |
| Dickinson State University |
| Lasell College |
| Western Kentucky University |
| Bellevue College |
| Allegheny College |
| Flagler College |
| Oklahoma State University |
| College of Idaho |
| Texas Christian University |
| Delaware Valley College |
| Charleston Southern University |
| Midstate College |
| Lees-McRae College |
| Olympic College |
| Elizabeth City State University |
| Emory University |
| Benedictine College |
| Wilkes University |
| McKendree University |
| Morehead State University |
| Quinnipiac University |
| Barton College |
| Illinois Wesleyan University |
| Bismarck State College |
| Muskingum University |
| Pine Manor College |
| Shenandoah University |
| Wayne State University |
| William Jessup University |
| Trinity Lutheran College |
| Minneapolis College of Art and Design |
| Fort Hays State University |
| Thomas More College |
| San Francisco Conservatory of Music |
| SUNY College of Environmental Science and Forestry |
| Indiana University East |
| ECPI University |
| Whitman College |
| Cabrini College |
| Boston University |
| Keiser University |
| Victory University |
| Eastern Nazarene College |
| Bemidji State University |
| Central Penn College |
| Utah Valley University |
| Union University |
| Wilmington University |
| Simpson College |
| Corcoran College of Art and Design |
| Cornerstone University |
| Carnegie Mellon University |
| Goshen College |
| Reed College |
| Cincinnati College of Mortuary Science |
| North Central College |
| Westfield State University |
| Northwestern Health Sciences University |
| University of North Florida |
| Pitzer College |
| Macalester College |
| Oklahoma Wesleyan University |
| University of Northern Colorado |
| Eastern Connecticut State University |
| Neumann University |
| Johnson State College |
| Albertus Magnus College |
| Alverno College |
| Bluffton University |
| Park University |
| McPherson College |
| Winston-Salem State University |
| Eureka College |
| Salem College |
| Sterling College |
| Willamette University |
| Bacone College |
| Norwich University |
| Susquehanna University |
| Pepperdine University |
| Langston University |
| Bauder College |
| Wellesley College |
| Madonna University |
| University of Southern Indiana |
| Ferrum College |
| Marygrove College |
| South Seattle Community College |
| Dean College |
| Mills College |
| Cox College |
| Mount Ida College |
| Olivet College |
| Bennington College |
| Southwestern Oklahoma State University |
| Adams State University |
| Mount Vernon Nazarene University |
| Glenville State College |
| St. John's College |
| Goddard College |
| Voorhees College |
| Radford University |
| Rush University |
| Rockford University |
| East Texas Baptist University |
| Marywood University |
| University of Indianapolis |
| Olivet Nazarene University |
| Daniel Webster College |
| Marylhurst University |
| Central College |
| Life Pacific College |
| William Peace University |
| Southwestern Christian University |
| University of Evansville |
| Alliant International University |
| Northwestern College |
| Philander Smith College |
| William Paterson University of New Jersey |
| Southern California Institute of Architecture |
| Dallas Baptist University |
| New Jersey Institute of Technology |
| Frank Lloyd Wright School of Architecture |
| Cogswell Polytechnical College |
| Kuyper College |
| Fisk University |
| New Mexico Highlands University |
| University of Montevallo |
| Creighton University |
| Lewis-Clark State College |
| American InterContinental University |
| Gordon State College |
| Wesley College |
| Tulane University |
| Fairleigh Dickinson University |
| Gardner-Webb University |
| Fresno Pacific University |
| Savannah College of Art and Design |
| California University of Pennsylvania |
| Everglades University |
| Ohio Northern University |
| Scripps College |
| Wilberforce University |
| Dominican University |
| University of Rochester |
| La Salle University |
| Lake Erie College |
| James Madison University |
| Post University |
| Illinois College |
| Newman University |
| Centenary College |
| Lamar University |
| Blessing-Rieman College of Nursing |
| Marist College |
| Hilbert College |
| Southern Connecticut State University |
| Benedict College |
| La Sierra University |
| Babson College |
| Williams College |
| Boston College |
| University of the Sacred Heart |
| Central Connecticut State University |
| Gustavus Adolphus College |
| Delaware State University |
| Colorado State University |
| Wright State University |
| Niagara University |
| University of the Incarnate Word |
| Wilmington College |
| National Graduate School of Quality Management |
| Texas Woman's University |
| Shepherd University |
| Suffolk University |
| Providence College |
| Trinity University |
| Calumet College of St. Joseph |
| City University of Seattle |
| St. Francis College |
| Wisconsin Lutheran College |
| Armstrong Atlantic State University |
| Oakland City University |
| National University |
| Northwestern State University of Louisiana |
| Harvard University |
| Hult International Business School |
| Southwest Baptist University |
| University of Arkansas for Medical Sciences |
| Santa Fe University of Art and Design |
| Research College of Nursing |
| University of Oregon |
| Montserrat College of Art |
| Northwood University |
| San Francisco Art Institute |
| Waynesburg University |
| Monmouth College |
| Grambling State University |
| Pacific University |
| St. Edward's University |
| Davidson College |
| University of the Southwest |
| Belmont Abbey College |
| Asbury University |
| Washington College |
| Hawaii Pacific University |
| Patten University |
| Franklin University |
| Northeastern University |
| Carlos Albizu University |
| Johnson University |
| Caldwell College |
| Metropolitan State University of Denver |
| Rust College |
| Dakota State University |
| Murray State University |
| Bloomfield College |
| Louisiana College |
| University of Richmond |
| Berkeley College |
| Manhattan School of Music |
| Mount Angel Seminary |
| Butler University |
| Pfeiffer University |
| Aurora University |
| Potomac College |
| Regent University |
| School of Visual Arts |
| North Carolina Wesleyan College |
| Ranken Technical College |
| College of Charleston |
| Millikin University |
| Northwest Christian University |
| Resurrection University |
| Merrimack College |
| Nazarene Bible College |
| Tennessee Wesleyan College |
| Mid-Atlantic Christian University |
| Case Western Reserve University |
| Presentation College |
| Rensselaer Polytechnic Institute |
| Loyola University Maryland |
| Miami Dade College |
| University of Chicago |
| Nova Southeastern University |
| University of Dubuque |
| Bryn Mawr College |
| DePaul University |
| University of New Haven |
| Concordia University Chicago |
| University of South Dakota |
| Palmer College of Chiropractic |
| Southern Adventist University |
| Our Lady of the Lake College |
| Parker University |
| University of Mississippi Medical Center |
| Marietta College |
| Bridgewater State University |
| Washburn University |
| Cornell College |
| Fashion Institute of Technology |
| Talladega College |
| University of the Virgin Islands |
| Elmira College |
| Ithaca College |
| Hope College |
| Tennessee State University |
| Buena Vista University |
| Briarcliffe College |
| King's College |
| Fort Valley State University |
| Howard Payne University |
| Lehigh University |
| Thomas University |
| DeVry University |
| Haverford College |
| Silver Lake College |
| Thomas Aquinas College |
| Wayne State College |
| University of Pikeville |
| Utica College |
| Valley City State University |
| Lafayette College |
| Manhattanville College |
| Roberts Wesleyan College |
| Michigan Technological University |
| Carroll University |
| Cumberland University |
| Winthrop University |
| Bloomsburg University of Pennsylvania |
| Eastern Illinois University |
| Wheaton College |
| Oral Roberts University |
| United States Air Force Academy |
| Wofford College |
| Spring Hill College |
| Alcorn State University |
| Southern Vermont College |
| Bastyr University |
| University of Central Missouri |
| Otterbein University |
| Southern Nazarene University |
| Becker College |
| Bates College |
| Benedictine University |
| Wichita State University |
| California Institute of Integral Studies |
| Central Bible College |
| Roanoke College |
| Sul Ross State University |
| Hastings College |
| Medaille College |
| Rochester College |
| Sarah Lawrence College |
| Northland College |
| The Sage Colleges |
| Austin Peay State University |
| Keystone College |
| Florida Atlantic University |
| Ripon College |
| Tarleton State University |
| Morgan State University |
| Crown College |
| Middle Tennessee State University |
| University of the Sciences |
| Mitchell College |
| Grace Bible College |
| Western International University |
| Jewish Theological Seminary of America |
| Culver-Stockton College |
| Lancaster Bible College |
| Wesleyan College |
| Colgate University |
| Bayamon Central University |
| Mount Holyoke College |
| Shawnee State University |
| Roosevelt University |
| Edison State College |
| Texas College |
| Oregon Institute of Technology |
| Rivier University |
| Manhattan Christian College |
| Alice Lloyd College |
| Moravian College |
| Life University |
| American Indian College of the Assemblies of God |
| Brandeis University |
| Colorado College |
| Bryant University |
| Lexington College |
| Knox College |
| Vermont Technical College |
| Southwestern College |
| Cedarville University |
| North Greenville University |
| Concord University |
| Campbell University |
| St. Thomas Aquinas College |
| Bethany Lutheran College |
| Grand View University |
| Endicott College |
| University of Pennsylvania |
| Stonehill College |
| Towson University |
| Duquesne University |
| Urbana University |
| School of the Art Institute of Chicago |
| New Mexico Institute of Mining and Technology |
| Agnes Scott College |
| University of New England |
| Oklahoma City University |
| Bryan College |
| Stanford University |
| Utah State University |
| Warner University |
| Concordia College |
| University of Southern California |
| Greensboro College |
| Menlo College |
| Baptist Bible College |
| Robert B. Miller College |
| Geneva College |
| University of Connecticut |
| University of Rio Grande |
| Wabash College |
| University of Dallas |
| Clark Atlanta University |
| Loma Linda University |
| William Woods University |
| Toccoa Falls College |
| William Penn University |
| Brenau University |
| Marymount University |
| California Institute of the Arts |
| Bellevue University |
| Clarke University |
| Kaplan University |
| Rosalind Franklin University of Medicine and Science |
| California Institute of Technology |
| San Diego Christian College |
| Siena Heights University |
| University of Florida |
| Thomas College |
| University of San Diego |
| Milligan College |
| Daemen College |
| Appalachian State University |
| Multnomah University |
| Georgetown University |
| Oglala Lakota College |
| Georgian Court University |
| SUNY Maritime College |
| Seton Hall University |
| Donnelly College |
| Missouri Baptist University |
| Elon University |
| University of Iowa |
| Capital University |
| Judson College |
| Stevens Institute of Technology |
| Villanova University |
| Assumption College |
| Lyon College |
| Wheelock College |
| Mansfield University of Pennsylvania |
| Occidental College |
| Washington State University |
| Corban University |
| Walsh College of Accountancy and Business Administration |
| Keuka College |
| Principia College |
| Maine College of Art |
| Northern Arizona University |
| Hampton University |
| San Francisco State University |
| Wittenberg University |
| Lynchburg College |
| Rhode Island College |
| Watkins College of Art, Design & Film |
| Western New Mexico University |
| University of Sioux Falls |
| Grand Valley State University |
| Albright College |
| Kansas Wesleyan University |
| Great Lakes Christian College |
| Tougaloo College |
| Naropa University |
| Oklahoma Baptist University |
| University of Redlands |
| California Lutheran University |
| Worcester Polytechnic Institute |
| Savannah State University |
| Lakeland College |
| Davis College |
| University of South Alabama |
| University of St. Thomas |
| Western Governors University |
| University of North Alabama |
| Bridgewater College |
| University of Dayton |
| Portland State University |
| Southern Oregon University |
| Cabarrus College of Health Sciences |
| Stephens College |
| Berry College |
| College of Mount St. Joseph |
| Lebanon Valley College |
| Jacksonville University |
| King University |
| Chicago State University |
| United States Merchant Marine Academy |
| Loyola University New Orleans |
| Emerson College |
| Walden University |
| Great Basin College |
| Our Lady of the Lake University |
| Virginia Intermont College |
| University of Notre Dame |
| Regis College |
| Herzing University |
| Concordia University Wisconsin |
| Dominican University of California |
| Milwaukee School of Engineering |
| United States Coast Guard Academy |
| Chamberlain College of Nursing |
| Maryville College |
| Emmanuel College |
| SUNY Downstate Medical Center |
| University of La Verne |
| Ohio Dominican University |
| Piedmont College |
| Bethel University |
| Central State University |
| Five Towns College |
| Peirce College |
| University of Charleston |
| Bradley University |
| Francis Marion University |
| Webber International University |
| Southern Wesleyan University |
| Thomas More College of Liberal Arts |
| Trinity International University |
| West Virginia Wesleyan College |
| Adelphi University |
| Southeastern University |
| Coastal Carolina University |
| Mount Carmel College of Nursing |
| Northern Michigan University |
| Pontifical College Josephinum |
| Springfield College |
| SUNY Empire State College |
| Western Illinois University |
| AIB College of Business |
| Sweet Briar College |
| Morningside College |
| William Carey University |
| Oakwood University |
| Prescott College |
| Stillman College |
| Claflin University |
| Edinboro University of Pennsylvania |
| Rocky Mountain College of Art and Design |
| Laguna College of Art and Design |
| United States Sports Academy |
| Salem International University |
| Stetson University |
| Christian Brothers University |
| American University of Puerto Rico |
| Edgewood College |
| San Diego State University |
| Samford University |
| Midland University |
| Sacred Heart University |
| Belmont University |
| Millsaps College |
| University of Oklahoma |
| University of Arizona |
| Wheeling Jesuit University |
| University of Mobile |
| Our Lady of Holy Cross College |
| Randolph-Macon College |
| St. Petersburg College |
| Webster University |
| Point University |
| Eckerd College |
| Kettering University |
| Lincoln University |
| Spring Arbor University |
| Holy Apostles College and Seminary |
| Juniata College |
| Augsburg College |
| St. Bonaventure University |
| Saginaw Valley State University |
| Sonoma State University |
| Rice University |
| University of Puget Sound |
| Northcentral University |
| Seattle Pacific University |
| University of Georgia |
| Bucknell University |
| Grace University |
| Baptist Missionary Association Theological Seminary |
| Mississippi Valley State University |
| Vincennes University |
| Valdosta State University |
| Upper Iowa University |
| University of the Cumberlands |
| East-West University |
| Walla Walla University |
| Warren Wilson College |
| American Jewish University |
| Capitol College |
| University of Science and Arts of Oklahoma |
| Franklin Pierce University |
| John Brown University |
| Alabama State University |
| Whitworth University |
| East Carolina University |
| Rosemont College |
| University of Miami |
| Regis University |
| St. Catherine University |
| Daytona State College |
| Howard University |
| Kendall College |
| Carlow University |
| Columbia College Chicago |
| Pacific Northwest College of Art |
| University of Central Florida |
| Vassar College |
| Hanover College |
| Old Dominion University |
| Quincy University |
| Xavier University of Louisiana |
| Augustana College |
| Hiram College |
| College of the Holy Cross |
| Drury University |
| Pacific Oaks College |
| Shimer College |
| Mount Olive College |
| Heidelberg University |
| West Chester University of Pennsylvania |
| Jacksonville State University |
| Gratz College |
| Harvey Mudd College |
| Hellenic College |
| Champlain College |
| Missouri State University |
| Chowan University |
| Antioch University |
| Central Washington University |
| American Academy of Art |
| Ursinus College |
| Denison University |
| Grinnell College |
| Art Center College of Design |
| Bellarmine University |
| University of Detroit Mercy |
| Institute of American Indian and Alaska Native Culture and Arts Development |
| Arkansas State University |
| Georgia Regents University |
| Kent State University |
| Bluefield College |
| University of Phoenix |
| University of West Georgia |
| Martin University |
| Hartwick College |
| Point Loma Nazarene University |
| Western Carolina University |
| Cheyney University of Pennsylvania |
| Florida State University |
| Weber State University |
| Brazosport College |
| Lycoming College |
| Valley Forge Christian College |
| Duke University |
| Paine College |
| Vanguard University of Southern California |
| Plymouth State University |
| Andrews University |
| Bellin College |
| Rockhurst University |
| Conception Seminary College |
| Lincoln Christian University |
| Christendom College |
| Rochester Institute of Technology |
| Skidmore College |
| Adrian College |
| College of Our Lady of the Elms |
| Coppin State University |
| Cleveland State University |
| University of Akron |
| Brescia University |
| Ottawa University |
| Kean University |
| University of Central Arkansas |
| Beloit College |
| Hood College |
| Vanderbilt University |
| New Jersey City University |
| Marymount Manhattan College |
| Wagner College |
| Elmhurst College |
| LeTourneau University |
| University of Central Oklahoma |
| Nebraska Wesleyan University |
| Western Michigan University |
| Xavier University |
| Viterbo University |
| Finlandia University |
| Otis College of Art and Design |
| University of New Orleans |
| Charter Oak State College |
| Cincinnati Christian University |
| South Dakota State University |
| Grove City College |
| Lincoln Memorial University |
| Midway College |
| National Labor College |
| Mary Baldwin College |
| Gannon University |
| Georgia State University |
| Woodbury University |
| Trident University International |
| Dallas Christian College |
| Wiley College |
| Rocky Mountain College |
| Shorter University |
| Erskine College |
| California College of the Arts |
| Drexel University |
| North Carolina Central University |
| Oberlin College |
| Virginia State University |
| Carroll College |
| Sam Houston State University |
| Avila University |
| Beacon College |
| Salisbury University |
| Black Hills State University |
| Massachusetts Institute of Technology |
| Boricua College |
| Felician College |
| Henderson State University |
| Catawba College |
| Grand Canyon University |
| Clearwater Christian College |
| University of New Hampshire |
| Oakland University |
| Johns Hopkins University |
| Livingstone College |
| East Central University |
| University of Scranton |
| University of Mary Washington |
| Tiffin University |
| Excelsior College |
| Brown University |
| Eastern Oregon University |
| Houston Baptist University |
| Pomona College |
| Barry University |
| Ouachita Baptist University |
| Reinhardt University |
| Mayville State University |
| Warner Pacific College |
| Johnson & Wales University |
| Polytechnic Institute of New York University |
| Huston-Tillotson University |
| Appalachian Bible College |
| Salish Kootenai College |
| Cameron University |
| Northwestern Oklahoma State University |
| Valparaiso University |
| Anderson University |
| Davenport University |
| Western Nevada College |
| California Maritime Academy |
| North Park University |
| Cedar Crest College |
| Lincoln College |
| West Liberty University |
| Culinary Institute of America |
| Columbia College |
| Peru State College |
| Ohio Christian University |
| Northwest Missouri State University |
| Arkansas Baptist College |
| New York University |
| Notre Dame de Namur University |
| Minot State University |
| Ashford University |
| Rhodes College |
| Northern State University |
| Florida International University |
| Central Methodist University |
| Tennessee Technological University |
| Calvary Bible College and Theological Seminary |
| New England College |
| Lawrence Technological University |
| Monroe College |
| Mississippi State University |
| Ball State University |
| Sacred Heart Major Seminary |
| Princeton University |
| Franklin W. Olin College of Engineering |
| Mid-Continent University |
| University of Delaware |
| Whittier College |
| Montreat College |
| Trinity College |
| American Public University System |
| Vaughn College of Aeronautics and Technology |
| George Fox University |
| Oregon State University |
| Friends University |
| Cairn University |
| University of the West |
| Brandman University |
| Carthage College |
| University of Advancing Technology |
| Curry College |
| Bethany College |
| Southwestern Christian College |
| Burlington College |
| Georgetown College |
| Wilson College |
| Rose-Hulman Institute of Technology |
| University of Nebraska Medical Center |
| Colorado Mesa University |
| Mount Mercy University |
| Mars Hill University |
| University of North Dakota |
| Cleary University |
| Wesleyan University |
| Westmont College |
| Troy University |
| Northern Illinois University |
| Siena College |
| Emmaus Bible College |
| Alaska Pacific University |
| San Jose State University |
| Stevenson University |
| Thomas Edison State College |
| George Mason University |
| Gordon College |
| Harding University |
| Lipscomb University |
| Columbia International University |
| Kansas City Art Institute |
| Linfield College |
| Albion College |
| Fitchburg State University |
| Harrington College of Design |
| Lewis University |
| South College |
| Elizabethtown College |
| Northwest Nazarene University |
| Carleton College |
| New College of Florida |
| Oklahoma Panhandle State University |
| University of Vermont |
| Blackburn College |
| Texas Southern University |
| Franklin and Marshall College |
| Brevard College |
| College of the Atlantic |
| Chapman University |
| Claremont McKenna College |
| Southern New Hampshire University |
| Bay Path College |
| Iowa State University |
| Luther College |
| University of Baltimore |
| University of Memphis |
| Lee University |
| College of William and Mary |
| Strayer University |
| Welch College |
| Ferris State University |
| Robert Morris University |
| Indiana Wesleyan University |
| Notre Dame of Maryland University |
| Hardin-Simmons University |
| Jackson State University |
| American University |
| Hofstra University |
| Hollins University |
| Azusa Pacific University |
| Georgia Southern University |
| Tabor College |
| North Central University |
| Taylor University |
| Connecticut College |
| University of South Florida |
| Martin Luther College |
| Sojourner-Douglass College |
| Eastern Washington University |
| Montana Tech of the University of Montana |
| Simpson University |
| Lesley University |
| Lyme Academy College of Fine Arts |
| Mississippi College |
| Bowdoin College |
| Dowling College |
| Southeastern Louisiana University |
| Southwestern Assemblies of God University |
| Faith Baptist Bible College and Theological Seminary |
| Slippery Rock University of Pennsylvania |
| Wake Forest University |
| University of Houston |
| High Point University |
| Florida Christian College |
| Judson University |
| Clemson University |
| Morehouse College |
| Santa Clara University |
| Midwestern State University |
| Baylor University |
| Florida Southern College |
| University of San Francisco |
| Plaza College |
| University of Portland |
| University of Mount Union |
| Georgia Southwestern State University |
| Covenant College |
| St. Mary's College of Maryland |
| McDaniel College |
| Presbyterian College |
| Williams Baptist College |
| Earlham College |
| South Texas College |
| Dixie State College of Utah |
| University of Louisville |
| Southern Polytechnic State University |
| Amherst College |
| Wingate University |
| Abilene Christian University |
| Berklee College of Music |
| Delta State University |
| Haskell Indian Nations University |
| University of Kansas |
| Lane College |
| Calvin College |
| Trine University |
| Freed-Hardeman University |
| Lubbock Christian University |
| Greenville College |
| University of Guam |
| Virginia Military Institute |
| Defiance College |
| Eastern Mennonite University |
| Illinois Institute of Technology |
| Holy Family University |
| Western Oregon University |
| Fairfield University |
| Texas Lutheran University |
| Lake Superior State University |
| Northeastern Illinois University |
| Southern Methodist University |
| Shaw University |
| LIM College |
| Mount Aloysius College |
| Mount Marty College |
| Drake University |
| Escuela de Artes Plasticas de Puerto Rico |
| Mississippi University for Women |
| Cornell University |
| Columbus State University |
| Sullivan University |
| United States Naval Academy |
| Columbus College of Art and Design |
| College of Southern Nevada |
| Loras College |
| Wentworth Institute of Technology |
| Moody Bible Institute |
| Chancellor University |
| Trinity Christian College |
| Liberty University |
| South Dakota School of Mines and Technology |
| MidAmerica Nazarene University |
| University of the Pacific |
| Maryland Institute College of Art |
| Indiana Institute of Technology |
| Thomas Jefferson University |
| Florida College |
| Abraham Baldwin Agricultural College |
| Bowie State University |
| Immaculata University |
| Campbellsville University |
| Tuskegee University |
| Lourdes University |
| Texas State University |
| Washington Adventist University |
| Lyndon State College |
| Puerto Rico Conservatory of Music |
| Newberry College |
| Gonzaga University |
| Governors State University |
| Truman State University |
| VanderCook College of Music |
| Amberton University |
| Emporia State University |
| LaGrange College |
| St. Olaf College |
| Iowa Wesleyan College |
| University of St. Francis |
| Huntingdon College |
| Schreiner University |
| Transylvania University |
| Peninsula College |
| The Citadel |
| Bard College |
| Humboldt State University |
| Arizona Christian University |
| Coker College |
| Maharishi University of Management |
| Cazenovia College |
| Arizona State University |
| Southwest Minnesota State University |
| Wayland Baptist University |
| Yeshiva University |
| Hope International University |
| Fisher College |
| Goucher College |
| Massachusetts Maritime Academy |
| McNeese State University |
| Chaminade University of Honolulu |
| University of North Texas |
| University of West Alabama |
| Guilford College |
| New Mexico State University |
| Coe College |
| Keene State College |
| Universidad Adventista de las Antillas |
| Husson University |
| Kentucky Wesleyan College |
| Roger Williams University |
| Massachusetts College of Liberal Arts |
| Mercer University |
| Fontbonne University |
| Colorado School of Mines |
| Dartmouth College |
| Holy Names University |
| California Baptist University |
| Rogers State University |
| Southern Utah University |
| Tusculum College |
| Rollins College |
| Aquinas College |
| Mount Mary University |
| Colby College |
| Sitting Bull College |
| Lindenwood University |
| Pacific Lutheran University |
| Canisius College |
| Dillard University |
| Worcester State University |
| Youngstown State University |
| Fairmont State University |
| Jones International University |
| Marquette University |
| Frostburg State University |
| Memphis College of Art |
| Curtis Institute of Music |
| Evangel University |
| College of the Ozarks |
| Concordia University |
| Clarkson College |
| Benjamin Franklin Institute of Technology |
| Central Michigan University |
| Tufts University |
| Indiana University Northwest |
| Winona State University |
| Missouri Southern State University |
| Goldfarb School of Nursing at Barnes-Jewish College |
| University of the Ozarks |
| Cambridge College |
| Le Moyne College |
| Miles College |
| Oregon College of Art and Craft |
| South Carolina State University |
| Missouri Valley College |
| Southeastern Oklahoma State University |
| Baker University |
| MacMurray College |
| Ringling College of Art and Design |
| Norfolk State University |
| Baptist Memorial College of Health Sciences |
| Emory and Henry College |
| West Virginia State University |
| York College |
| Alfred University |
| University of Great Falls |
| Northeastern State University |
| University of Northwestern Ohio |
| University of Medicine and Dentistry of New Jersey |
| Georgia Gwinnett College |
| Houghton College |
| Southwestern University |
| John Carroll University |
| American International College |
| Northwestern University |
| Texas Tech University Health Sciences Center |
| Harris-Stowe State University |
| Chipola College |
| Bowling Green State University |
| Iona College |
| Central Baptist College |
| Midland College |
| Virginia Commonwealth University |
| Arkansas Tech University |
| Briar Cliff University |
| Molloy College |
| Philadelphia University |
| Kalamazoo College |
| Louisiana Tech University |
| Cleveland Institute of Art |
| Doane College |
| Jarvis Christian College |
| Eastern Kentucky University |
| Chestnut Hill College |
| Marshall University |
| Mercy College of Health Sciences |
| Heritage University |
| University of Bridgeport |
| Eastern University |
| Salve Regina University |
| Holy Cross College |
| Colorado Technical University |
| Spalding University |
| Gallaudet University |
| Samuel Merritt University |
| West Virginia University |
| University of Wyoming |
| Syracuse University |
| Kutztown University of Pennsylvania |
| Queens University of Charlotte |
| Morris College |
| Columbia College of Nursing |
| Virginia Union University |
| New England Institute of Technology |
| University of Tulsa |
| Smith College |
| Limestone College |
| Fayetteville State University |
| Pontifical Catholic University of Puerto Rico |
| University of Maine |
| University of Southern Mississippi |
| Franciscan University of Steubenville |
| Thiel College |
| Lock Haven University of Pennsylvania |
| Union College |
| Western Connecticut State University |
| Sinte Gleska University |
| Granite State College |
| William Jewell College |
| Clarion University of Pennsylvania |
| Ramapo College of New Jersey |
| Huntington University |
| Bryn Athyn College of the New Church |
| Western Washington University |
| Austin College |
| Clark University |
| Drew University |
| Rider University |
| Hendrix College |
| Cardinal Stritch University |
| Martin Methodist College |
| DeSales University |
| Bentley University |
| Kenyon College |
| Mid-America Christian University |
| Indian River State College |
| Seton Hill University |
| Florida Memorial University |
| God's Bible School and College |
| Shippensburg University of Pennsylvania |
| Amridge University |
| Goldey-Beacom College |
| University of Idaho |
Input Table 2:
| Col_1 |
|:---------------------|
| North Carolina |
| Indiana |
| Wyoming |
| Utah |
| Guam |
| Arizona |
| Montana |
| Virgin Islands |
| Kentucky |
| California |
| Kansas |
| Florida |
| Delaware |
| Pennsylvania |
| Iowa |
| Mississippi |
| Texas |
| Illinois |
| Connecticut |
| Georgia |
| Virginia |
| Maryland |
| Idaho |
| Vermont |
| Oregon |
| Puerto Rico |
| Tennessee |
| Oklahoma |
| Maine |
| Alabama |
| Arkansas |
| South Carolina |
| Washington |
| Nebraska |
| West Virginia |
| Colorado |
| Massachusetts |
| Missouri |
| Alaska |
| North Dakota |
| Wisconsin |
| Nevada |
| New York |
| District of Columbia |
| Rhode Island |
| South Dakota |
| Hawaii |
| Minnesota |
| New Jersey |
| Michigan |
| New Mexico |
| New Hampshire |
| Louisiana |
| Ohio |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case9", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case9", "case": "Case9", "label": [["AIB College of Business", "Iowa"], ["Abilene Christian University", "Texas"], ["Abraham Baldwin Agricultural College", "Georgia"], ["Academy of Art University", "California"], ["Adams State University", "Colorado"], ["Adelphi University", "New York"], ["Adrian College", "Michigan"], ["Adventist University of Health Sciences", "Florida"], ["Agnes Scott College", "Georgia"], ["Alabama State University", "Alabama"], ["Alaska Pacific University", "Alaska"], ["Albany State University", "Georgia"], ["Albertus Magnus College", "Connecticut"], ["Albion College", "Michigan"], ["Albright College", "Pennsylvania"], ["Alcorn State University", "Mississippi"], ["Alderson Broaddus University", "West Virginia"], ["Alfred University", "New York"], ["Alice Lloyd College", "Kentucky"], ["Allegheny College", "Pennsylvania"], ["Allen College", "Iowa"], ["Allen University", "South Carolina"], ["Alliant International University", "California"], ["Alma College", "Michigan"], ["Alverno College", "Wisconsin"], ["Amberton University", "Texas"], ["American Academy of Art", "Illinois"], ["American Indian College of the Assemblies of God", "Arizona"], ["American InterContinental University", "Illinois"], ["American International College", "Massachusetts"], ["American Jewish University", "California"], ["American Public University System", "West Virginia"], ["American University of Puerto Rico", "Puerto Rico"], ["American University", "District of Columbia"], ["Amherst College", "Massachusetts"], ["Amridge University", "Alabama"], ["Anderson University", "Indiana"], ["Anderson University", "South Carolina"], ["Andrews University", "Michigan"], ["Angelo State University", "Texas"], ["Anna Maria College", "Massachusetts"], ["Antioch University", "Ohio"], ["Appalachian Bible College", "West Virginia"], ["Appalachian State University", "North Carolina"], ["Aquinas College", "Michigan"], ["Aquinas College", "Tennessee"], ["Arcadia University", "Pennsylvania"], ["Arizona Christian University", "Arizona"], ["Arizona State University", "Arizona"], ["Arkansas Baptist College", "Arkansas"], ["Arkansas State University", "Arkansas"], ["Arkansas Tech University", "Arkansas"], ["Armstrong Atlantic State University", "Georgia"], ["Art Academy of Cincinnati", "Ohio"], ["Art Center College of Design", "California"], ["Asbury University", "Kentucky"], ["Ashford University", "Iowa"], ["Ashland University", "Ohio"], ["Assumption College", "Massachusetts"], ["Athens State University", "Alabama"], ["Augsburg College", "Minnesota"], ["Augustana College", "South Dakota"], ["Augustana College", "Illinois"], ["Aurora University", "Illinois"], ["Austin College", "Texas"], ["Austin Peay State University", "Tennessee"], ["Ave Maria University", "Florida"], ["Averett University", "Virginia"], ["Avila University", "Missouri"], ["Azusa Pacific University", "California"], ["Babson College", "Massachusetts"], ["Bacone College", "Oklahoma"], ["Baker University", "Kansas"], ["Ball State University", "Indiana"], ["Baptist Bible College", "Missouri"], ["Baptist Memorial College of Health Sciences", "Tennessee"], ["Baptist Missionary Association Theological Seminary", "Texas"], ["Bard College", "New York"], ["Barnard College", "New York"], ["Barry University", "Florida"], ["Barton College", "North Carolina"], ["Bastyr University", "Washington"], ["Bates College", "Maine"], ["Bauder College", "Georgia"], ["Bay Path College", "Massachusetts"], ["Bayamon Central University", "Puerto Rico"], ["Baylor University", "Texas"], ["Beacon College", "Florida"], ["Becker College", "Massachusetts"], ["Belhaven University", "Mississippi"], ["Bellarmine University", "Kentucky"], ["Bellevue College", "Washington"], ["Bellevue University", "Nebraska"], ["Bellin College", "Wisconsin"], ["Belmont Abbey College", "North Carolina"], ["Belmont University", "Tennessee"], ["Beloit College", "Wisconsin"], ["Bemidji State University", "Minnesota"], ["Benedict College", "South Carolina"], ["Benedictine College", "Kansas"], ["Benedictine University", "Illinois"], ["Benjamin Franklin Institute of Technology", "Massachusetts"], ["Bennington College", "Vermont"], ["Bentley University", "Massachusetts"], ["Berea College", "Kentucky"], ["Berkeley College", "New York"], ["Berkeley College", "New Jersey"], ["Berklee College of Music", "Massachusetts"], ["Berry College", "Georgia"], ["Bethany College", "Kansas"], ["Bethany College", "West Virginia"], ["Bethany Lutheran College", "Minnesota"], ["Bethel College", "Indiana"], ["Bethel College", "Virginia"], ["Bethel College", "Kansas"], ["Bethel University", "Tennessee"], ["Bethel University", "Minnesota"], ["Biola University", "California"], ["Bismarck State College", "North Dakota"], ["Black Hills State University", "South Dakota"], ["Blackburn College", "Illinois"], ["Blessing-Rieman College of Nursing", "Illinois"], ["Bloomfield College", "New Jersey"], ["Bloomsburg University of Pennsylvania", "Pennsylvania"], ["Blue Mountain College", "Mississippi"], ["Bluefield College", "Virginia"], ["Bluefield State College", "West Virginia"], ["Bluffton University", "Ohio"], ["Boise State University", "Idaho"], ["Boricua College", "New York"], ["Boston College", "Massachusetts"], ["Boston University", "Massachusetts"], ["Bowdoin College", "Maine"], ["Bowie State University", "Maryland"], ["Bowling Green State University", "Ohio"], ["Bradley University", "Illinois"], ["Brandeis University", "Massachusetts"], ["Brandman University", "California"], ["Brazosport College", "Texas"], ["Brenau University", "Georgia"], ["Brescia University", "Kentucky"], ["Brevard College", "North Carolina"], ["Brewton-Parker College", "Georgia"], ["Briar Cliff University", "Iowa"], ["Briarcliffe College", "New York"], ["Bridgewater College", "Virginia"], ["Bridgewater State University", "Massachusetts"], ["Brown University", "Rhode Island"], ["Bryan College", "California"], ["Bryan College", "Tennessee"], ["Bryant University", "Rhode Island"], ["Bryn Athyn College of the New Church", "Pennsylvania"], ["Bryn Mawr College", "Pennsylvania"], ["Bucknell University", "Pennsylvania"], ["Buena Vista University", "Iowa"], ["Burlington College", "Vermont"], ["Butler University", "Indiana"], ["Cabarrus College of Health Sciences", "North Carolina"], ["Cabrini College", "Pennsylvania"], ["Cairn University", "Pennsylvania"], ["Caldwell College", "New Jersey"], ["California Baptist University", "California"], ["California College of the Arts", "California"], ["California Institute of Integral Studies", "California"], ["California Institute of Technology", "California"], ["California Institute of the Arts", "California"], ["California Lutheran University", "California"], ["California Maritime Academy", "California"], ["California University of Pennsylvania", "Pennsylvania"], ["Calumet College of St. Joseph", "Indiana"], ["Calvary Bible College and Theological Seminary", "Missouri"], ["Calvin College", "Michigan"], ["Cambridge College", "Massachusetts"], ["Cameron University", "Oklahoma"], ["Campbell University", "North Carolina"], ["Campbellsville University", "Kentucky"], ["Canisius College", "New York"], ["Capella University", "Minnesota"], ["Capital University", "Ohio"], ["Capitol College", "Maryland"], ["Cardinal Stritch University", "Wisconsin"], ["Carleton College", "Minnesota"], ["Carlos Albizu University", "Puerto Rico"], ["Carlow University", "Pennsylvania"], ["Carnegie Mellon University", "Pennsylvania"], ["Carroll College", "Montana"], ["Carroll University", "Wisconsin"], ["Carson-Newman University", "Tennessee"], ["Carthage College", "Wisconsin"], ["Case Western Reserve University", "Ohio"], ["Castleton State College", "Vermont"], ["Catawba College", "North Carolina"], ["Cazenovia College", "New York"], ["Cedar Crest College", "Pennsylvania"], ["Cedarville University", "Ohio"], ["Centenary College of Louisiana", "Louisiana"], ["Centenary College", "New Jersey"], ["Central Baptist College", "Arkansas"], ["Central Bible College", "Missouri"], ["Central College", "Iowa"], ["Central Connecticut State University", "Connecticut"], ["Central Methodist University", "Missouri"], ["Central Michigan University", "Michigan"], ["Central Penn College", "Pennsylvania"], ["Central State University", "Ohio"], ["Central Washington University", "Washington"], ["Centre College", "Kentucky"], ["Chadron State College", "Nebraska"], ["Chamberlain College of Nursing", "Illinois"], ["Chaminade University of Honolulu", "Hawaii"], ["Champlain College", "Vermont"], ["Chancellor University", "Ohio"], ["Chapman University", "California"], ["Charleston Southern University", "South Carolina"], ["Charter Oak State College", "Connecticut"], ["Chatham University", "Pennsylvania"], ["Chestnut Hill College", "Pennsylvania"], ["Cheyney University of Pennsylvania", "Pennsylvania"], ["Chicago State University", "Illinois"], ["Chipola College", "Florida"], ["Chowan University", "North Carolina"], ["Christendom College", "Virginia"], ["Christian Brothers University", "Tennessee"], ["Christopher Newport University", "Virginia"], ["Cincinnati Christian University", "Ohio"], ["Cincinnati College of Mortuary Science", "Ohio"], ["City University of Seattle", "Washington"], ["Claflin University", "South Carolina"], ["Claremont McKenna College", "California"], ["Clarion University of Pennsylvania", "Pennsylvania"], ["Clark Atlanta University", "Georgia"], ["Clark University", "Massachusetts"], ["Clarke University", "Iowa"], ["Clarkson College", "Nebraska"], ["Clarkson University", "New York"], ["Clear Creek Baptist Bible College", "Kentucky"], ["Clearwater Christian College", "Florida"], ["Cleary University", "Michigan"], ["Clemson University", "South Carolina"], ["Cleveland Institute of Art", "Ohio"], ["Cleveland Institute of Music", "Ohio"], ["Cleveland State University", "Ohio"], ["Coastal Carolina University", "South Carolina"], ["Coe College", "Iowa"], ["Cogswell Polytechnical College", "California"], ["Coker College", "South Carolina"], ["Colby College", "Maine"], ["Colby-Sawyer College", "New Hampshire"], ["Colgate University", "New York"], ["College for Creative Studies", "Michigan"], ["College of Charleston", "South Carolina"], ["College of Idaho", "Idaho"], ["College of Mount St. Joseph", "Ohio"], ["College of Our Lady of the Elms", "Massachusetts"], ["College of Southern Nevada", "Nevada"], ["College of William and Mary", "Virginia"], ["College of the Atlantic", "Maine"], ["College of the Holy Cross", "Massachusetts"], ["College of the Ozarks", "Missouri"], ["Colorado Christian University", "Colorado"], ["Colorado College", "Colorado"], ["Colorado Mesa University", "Colorado"], ["Colorado School of Mines", "Colorado"], ["Colorado State University", "Colorado"], ["Colorado Technical University", "Colorado"], ["Columbia College Chicago", "Illinois"], ["Columbia College of Nursing", "Wisconsin"], ["Columbia College", "Missouri"], ["Columbia College", "California"], ["Columbia College", "South Carolina"], ["Columbia College", "Virginia"], ["Columbia International University", "South Carolina"], ["Columbus College of Art and Design", "Ohio"], ["Columbus State University", "Georgia"], ["Conception Seminary College", "Missouri"], ["Concord University", "West Virginia"], ["Concordia College", "New York"], ["Concordia College", "Minnesota"], ["Concordia University Chicago", "Illinois"], ["Concordia University Wisconsin", "Wisconsin"], ["Concordia University", "California"], ["Concordia University", "Oregon"], ["Concordia University", "Michigan"], ["Concordia University", "Nebraska"], ["Connecticut College", "Connecticut"], ["Converse College", "South Carolina"], ["Coppin State University", "Maryland"], ["Corban University", "Oregon"], ["Corcoran College of Art and Design", "District of Columbia"], ["Cornell College", "Iowa"], ["Cornell University", "New York"], ["Cornerstone University", "Michigan"], ["Cornish College of the Arts", "Washington"], ["Covenant College", "Georgia"], ["Cox College", "Missouri"], ["Creighton University", "Nebraska"], ["Crown College", "Tennessee"], ["Crown College", "Minnesota"], ["Crown College", "Washington"], ["Culinary Institute of America", "New York"], ["Culver-Stockton College", "Missouri"], ["Cumberland University", "Tennessee"], ["Curry College", "Massachusetts"], ["Curtis Institute of Music", "Pennsylvania"], ["D'Youville College", "New York"], ["Daemen College", "New York"], ["Dakota State University", "South Dakota"], ["Dakota Wesleyan University", "South Dakota"], ["Dallas Baptist University", "Texas"], ["Dallas Christian College", "Texas"], ["Dalton State College", "Georgia"], ["Daniel Webster College", "New Hampshire"], ["Dartmouth College", "New Hampshire"], ["Davenport University", "Michigan"], ["Davidson College", "North Carolina"], ["Davis College", "New York"], ["Davis College", "Ohio"], ["Daytona State College", "Florida"], ["DePaul University", "Illinois"], ["DePauw University", "Indiana"], ["DeSales University", "Pennsylvania"], ["DeVry University", "Illinois"], ["Dean College", "Massachusetts"], ["Defiance College", "Ohio"], ["Delaware State University", "Delaware"], ["Delaware Valley College", "Pennsylvania"], ["Delta State University", "Mississippi"], ["Denison University", "Ohio"], ["Dickinson College", "Pennsylvania"], ["Dickinson State University", "North Dakota"], ["Dillard University", "Louisiana"], ["Divine Word College", "Iowa"], ["Dixie State College of Utah", "Utah"], ["Doane College", "Nebraska"], ["Dominican University of California", "California"], ["Dominican University", "Illinois"], ["Donnelly College", "Kansas"], ["Dordt College", "Iowa"], ["Dowling College", "New York"], ["Drake University", "Iowa"], ["Drew University", "New Jersey"], ["Drexel University", "Pennsylvania"], ["Drury University", "Missouri"], ["Duke University", "North Carolina"], ["Dunwoody College of Technology", "Minnesota"], ["Dunwoody College of Technology", "Minnesota"], ["Duquesne University", "Pennsylvania"], ["ECPI University", "Virginia"], ["Earlham College", "Indiana"], ["East Carolina University", "North Carolina"], ["East Central University", "Oklahoma"], ["East Stroudsburg University of Pennsylvania", "Pennsylvania"], ["East Tennessee State University", "Tennessee"], ["East Texas Baptist University", "Texas"], ["East-West University", "Illinois"], ["Eastern Connecticut State University", "Connecticut"], ["Eastern Illinois University", "Illinois"], ["Eastern Kentucky University", "Kentucky"], ["Eastern Mennonite University", "Virginia"], ["Eastern Michigan University", "Michigan"], ["Eastern Nazarene College", "Massachusetts"], ["Eastern New Mexico University", "New Mexico"], ["Eastern Oregon University", "Oregon"], ["Eastern University", "Pennsylvania"], ["Eastern Washington University", "Washington"], ["Eckerd College", "Florida"], ["Edgewood College", "Wisconsin"], ["Edinboro University of Pennsylvania", "Pennsylvania"], ["Edison State College", "Florida"], ["Edward Waters College", "Florida"], ["Elizabeth City State University", "North Carolina"], ["Elizabethtown College", "Pennsylvania"], ["Elmhurst College", "Illinois"], ["Elmira College", "New York"], ["Elon University", "North Carolina"], ["Emerson College", "Massachusetts"], ["Emmanuel College", "Georgia"], ["Emmanuel College", "Massachusetts"], ["Emmaus Bible College", "Iowa"], ["Emory University", "Georgia"], ["Emory and Henry College", "Virginia"], ["Emporia State University", "Kansas"], ["Endicott College", "Massachusetts"], ["Erskine College", "South Carolina"], ["Escuela de Artes Plasticas de Puerto Rico", "Puerto Rico"], ["Eureka College", "Illinois"], ["Evangel University", "Missouri"], ["Everglades University", "Florida"], ["Excelsior College", "New York"], ["Fairfield University", "Connecticut"], ["Fairleigh Dickinson University", "New Jersey"], ["Fairmont State University", "West Virginia"], ["Faith Baptist Bible College and Theological Seminary", "Iowa"], ["Fashion Institute of Technology", "New York"], ["Faulkner University", "Alabama"], ["Fayetteville State University", "North Carolina"], ["Felician College", "New Jersey"], ["Ferris State University", "Michigan"], ["Ferrum College", "Virginia"], ["Finlandia University", "Michigan"], ["Fisher College", "Massachusetts"], ["Fisk University", "Tennessee"], ["Fitchburg State University", "Massachusetts"], ["Five Towns College", "New York"], ["Flagler College", "Florida"], ["Florida Atlantic University", "Florida"], ["Florida Christian College", "Florida"], ["Florida College", "Florida"], ["Florida Gulf Coast University", "Florida"], ["Florida International University", "Florida"], ["Florida Memorial University", "Florida"], ["Florida Southern College", "Florida"], ["Florida State University", "Florida"], ["Fontbonne University", "Missouri"], ["Fordham University", "New York"], ["Fort Hays State University", "Kansas"], ["Fort Lewis College", "Colorado"], ["Fort Valley State University", "Georgia"], ["Framingham State University", "Massachusetts"], ["Francis Marion University", "South Carolina"], ["Franciscan University of Steubenville", "Ohio"], ["Frank Lloyd Wright School of Architecture", "Arizona"], ["Franklin College", "Indiana"], ["Franklin Pierce University", "New Hampshire"], ["Franklin University", "Ohio"], ["Franklin W. Olin College of Engineering", "Massachusetts"], ["Franklin and Marshall College", "Pennsylvania"], ["Freed-Hardeman University", "Tennessee"], ["Fresno Pacific University", "California"], ["Friends University", "Kansas"], ["Frostburg State University", "Maryland"], ["Furman University", "South Carolina"], ["Gallaudet University", "District of Columbia"], ["Gannon University", "Pennsylvania"], ["Gardner-Webb University", "North Carolina"], ["Geneva College", "Pennsylvania"], ["George Fox University", "Oregon"], ["George Mason University", "Virginia"], ["George Washington University", "District of Columbia"], ["Georgetown College", "Kentucky"], ["Georgetown University", "District of Columbia"], ["Georgia Gwinnett College", "Georgia"], ["Georgia Regents University", "Georgia"], ["Georgia Southern University", "Georgia"], ["Georgia Southwestern State University", "Georgia"], ["Georgia State University", "Georgia"], ["Georgian Court University", "New Jersey"], ["Gettysburg College", "Pennsylvania"], ["Glenville State College", "West Virginia"], ["God's Bible School and College", "Ohio"], ["Goddard College", "Vermont"], ["Goldey-Beacom College", "Delaware"], ["Goldfarb School of Nursing at Barnes-Jewish College", "Missouri"], ["Gonzaga University", "Washington"], ["Gordon College", "Massachusetts"], ["Gordon State College", "Georgia"], ["Goshen College", "Indiana"], ["Goucher College", "Maryland"], ["Governors State University", "Illinois"], ["Grace Bible College", "Michigan"], ["Grace College and Seminary", "Indiana"], ["Grace University", "Nebraska"], ["Graceland University", "Iowa"], ["Grambling State University", "Louisiana"], ["Grand Canyon University", "Arizona"], ["Grand Valley State University", "Michigan"], ["Grand View University", "Iowa"], ["Granite State College", "New Hampshire"], ["Gratz College", "Pennsylvania"], ["Great Basin College", "Nevada"], ["Great Lakes Christian College", "Michigan"], ["Green Mountain College", "Vermont"], ["Greensboro College", "North Carolina"], ["Greenville College", "Illinois"], ["Grinnell College", "Iowa"], ["Grove City College", "Pennsylvania"], ["Guilford College", "North Carolina"], ["Gustavus Adolphus College", "Minnesota"], ["Hamilton College", "New York"], ["Hamline University", "Minnesota"], ["Hampden-Sydney College", "Virginia"], ["Hampshire College", "Massachusetts"], ["Hampton University", "Virginia"], ["Hanover College", "Indiana"], ["Hardin-Simmons University", "Texas"], ["Harding University", "Arkansas"], ["Harrington College of Design", "Illinois"], ["Harris-Stowe State University", "Missouri"], ["Harrisburg University of Science and Technology", "Pennsylvania"], ["Hartwick College", "New York"], ["Harvard University", "Massachusetts"], ["Harvey Mudd College", "California"], ["Haskell Indian Nations University", "Kansas"], ["Hastings College", "Nebraska"], ["Haverford College", "Pennsylvania"], ["Hawaii Pacific University", "Hawaii"], ["Hebrew Theological College", "Illinois"], ["Heidelberg University", "Ohio"], ["Hellenic College", "Massachusetts"], ["Henderson State University", "Arkansas"], ["Hendrix College", "Arkansas"], ["Heritage University", "Washington"], ["Herzing University", "Wisconsin"], ["High Point University", "North Carolina"], ["Hilbert College", "New York"], ["Hillsdale College", "Michigan"], ["Hiram College", "Ohio"], ["Hodges University", "Florida"], ["Hofstra University", "New York"], ["Hollins University", "Virginia"], ["Holy Apostles College and Seminary", "Connecticut"], ["Holy Cross College", "Indiana"], ["Holy Family University", "Pennsylvania"], ["Holy Names University", "California"], ["Hood College", "Maryland"], ["Hope College", "Michigan"], ["Hope International University", "California"], ["Houghton College", "New York"], ["Houston Baptist University", "Texas"], ["Howard Payne University", "Texas"], ["Howard University", "District of Columbia"], ["Hult International Business School", "Massachusetts"], ["Humboldt State University", "California"], ["Huntingdon College", "Alabama"], ["Huntington University", "Indiana"], ["Husson University", "Maine"], ["Huston-Tillotson University", "Texas"], ["Idaho State University", "Idaho"], ["Illinois College", "Illinois"], ["Illinois Institute of Technology", "Illinois"], ["Illinois State University", "Illinois"], ["Illinois Wesleyan University", "Illinois"], ["Immaculata University", "Pennsylvania"], ["Indian River State College", "Florida"], ["Indiana Institute of Technology", "Indiana"], ["Indiana State University", "Indiana"], ["Indiana University East", "Indiana"], ["Indiana University Northwest", "Indiana"], ["Indiana University Southeast", "Indiana"], ["Indiana University of Pennsylvania", "Pennsylvania"], ["Indiana Wesleyan University", "Indiana"], ["Institute of American Indian and Alaska Native Culture and Arts Development", "New Mexico"], ["Iona College", "New York"], ["Iowa State University", "Iowa"], ["Iowa Wesleyan College", "Iowa"], ["Ithaca College", "New York"], ["Jackson State University", "Mississippi"], ["Jacksonville State University", "Alabama"], ["Jacksonville University", "Florida"], ["James Madison University", "Virginia"], ["Jarvis Christian College", "Texas"], ["Jewish Theological Seminary of America", "New York"], ["John Brown University", "Arkansas"], ["John Carroll University", "Ohio"], ["Johns Hopkins University", "Maryland"], ["Johnson & Wales University", "Rhode Island"], ["Johnson State College", "Vermont"], ["Johnson University", "Tennessee"], ["Jones International University", "Colorado"], ["Judson College", "Alabama"], ["Judson University", "Illinois"], ["Juniata College", "Pennsylvania"], ["Kalamazoo College", "Michigan"], ["Kansas City Art Institute", "Missouri"], ["Kansas State University", "Kansas"], ["Kansas Wesleyan University", "Kansas"], ["Kaplan University", "Iowa"], ["Kean University", "New Jersey"], ["Keene State College", "New Hampshire"], ["Keiser University", "Florida"], ["Kendall College", "Illinois"], ["Kennesaw State University", "Georgia"], ["Kent State University", "Ohio"], ["Kentucky Christian University", "Kentucky"], ["Kentucky State University", "Kentucky"], ["Kentucky Wesleyan College", "Kentucky"], ["Kenyon College", "Ohio"], ["Kettering University", "Michigan"], ["Keuka College", "New York"], ["Keystone College", "Pennsylvania"], ["King University", "Tennessee"], ["King's College", "Pennsylvania"], ["King's College", "North Carolina"], ["Knox College", "Illinois"], ["Kutztown University of Pennsylvania", "Pennsylvania"], ["Kuyper College", "Michigan"], ["LIM College", "New York"], ["La Roche College", "Pennsylvania"], ["La Salle University", "Pennsylvania"], ["La Sierra University", "California"], ["LaGrange College", "Georgia"], ["Lafayette College", "Pennsylvania"], ["Laguna College of Art and Design", "California"], ["Lake Erie College", "Ohio"], ["Lake Forest College", "Illinois"], ["Lake Superior State University", "Michigan"], ["Lakeland College", "Wisconsin"], ["Lakeview College of Nursing", "Illinois"], ["Lamar University", "Texas"], ["Lancaster Bible College", "Pennsylvania"], ["Lander University", "South Carolina"], ["Lane College", "Tennessee"], ["Langston University", "Oklahoma"], ["Lasell College", "Massachusetts"], ["Lawrence Technological University", "Michigan"], ["Lawrence University", "Wisconsin"], ["Le Moyne College", "New York"], ["LeMoyne-Owen College", "Tennessee"], ["LeTourneau University", "Texas"], ["Lebanon Valley College", "Pennsylvania"], ["Lee University", "Tennessee"], ["Lees-McRae College", "North Carolina"], ["Lehigh University", "Pennsylvania"], ["Lesley University", "Massachusetts"], ["Lewis & Clark College", "Oregon"], ["Lewis University", "Illinois"], ["Lewis-Clark State College", "Idaho"], ["Lexington College", "Illinois"], ["Liberty University", "Virginia"], ["Life Pacific College", "California"], ["Life University", "Georgia"], ["Limestone College", "South Carolina"], ["Lincoln Christian University", "Illinois"], ["Lincoln College", "Illinois"], ["Lincoln Memorial University", "Tennessee"], ["Lincoln University", "California"], ["Lincoln University", "Missouri"], ["Lindenwood University", "Missouri"], ["Lindsey Wilson College", "Kentucky"], ["Linfield College", "Oregon"], ["Lipscomb University", "Tennessee"], ["Livingstone College", "North Carolina"], ["Lock Haven University of Pennsylvania", "Pennsylvania"], ["Loma Linda University", "California"], ["Longwood University", "Virginia"], ["Loras College", "Iowa"], ["Louisiana College", "Louisiana"], ["Louisiana Tech University", "Louisiana"], ["Lourdes University", "Ohio"], ["Loyola Marymount University", "California"], ["Loyola University Maryland", "Maryland"], ["Loyola University New Orleans", "Louisiana"], ["Lubbock Christian University", "Texas"], ["Luther College", "Iowa"], ["Lycoming College", "Pennsylvania"], ["Lyme Academy College of Fine Arts", "Connecticut"], ["Lynchburg College", "Virginia"], ["Lyndon State College", "Vermont"], ["Lynn University", "Florida"], ["Lyon College", "Arkansas"], ["MacMurray College", "Illinois"], ["Macalester College", "Minnesota"], ["Madonna University", "Michigan"], ["Maharishi University of Management", "Iowa"], ["Maine College of Art", "Maine"], ["Maine Maritime Academy", "Maine"], ["Malone University", "Ohio"], ["Manchester University", "Indiana"], ["Manhattan Christian College", "Kansas"], ["Manhattan College", "New York"], ["Manhattan School of Music", "New York"], ["Manhattanville College", "New York"], ["Mansfield University of Pennsylvania", "Pennsylvania"], ["Maranatha Baptist Bible College", "Wisconsin"], ["Marian University", "Indiana"], ["Marian University", "Wisconsin"], ["Marietta College", "Ohio"], ["Marist College", "New York"], ["Marlboro College", "Vermont"], ["Marquette University", "Wisconsin"], ["Mars Hill University", "North Carolina"], ["Marshall University", "West Virginia"], ["Martin Luther College", "Minnesota"], ["Martin Methodist College", "Tennessee"], ["Martin University", "Indiana"], ["Mary Baldwin College", "Virginia"], ["Marygrove College", "Michigan"], ["Maryland Institute College of Art", "Maryland"], ["Marylhurst University", "Oregon"], ["Marymount Manhattan College", "New York"], ["Marymount University", "Virginia"], ["Maryville College", "Tennessee"], ["Marywood University", "Pennsylvania"], ["Massachusetts College of Art and Design", "Massachusetts"], ["Massachusetts College of Liberal Arts", "Massachusetts"], ["Massachusetts Institute of Technology", "Massachusetts"], ["Massachusetts Maritime Academy", "Massachusetts"], ["Mayville State University", "North Dakota"], ["McDaniel College", "Maryland"], ["McKendree University", "Illinois"], ["McMurry University", "Texas"], ["McNeese State University", "Louisiana"], ["McPherson College", "Kansas"], ["Medaille College", "New York"], ["Medical University of South Carolina", "South Carolina"], ["Memphis College of Art", "Tennessee"], ["Menlo College", "California"], ["Mercer University", "Georgia"], ["Mercy College of Health Sciences", "Iowa"], ["Meredith College", "North Carolina"], ["Merrimack College", "Massachusetts"], ["Messiah College", "Pennsylvania"], ["Metropolitan College of New York", "New York"], ["Metropolitan State University of Denver", "Colorado"], ["Metropolitan State University", "Minnesota"], ["Miami Dade College", "Florida"], ["Michigan State University", "Michigan"], ["Michigan Technological University", "Michigan"], ["Mid-America Christian University", "Oklahoma"], ["Mid-Atlantic Christian University", "North Carolina"], ["Mid-Continent University", "Kentucky"], ["MidAmerica Nazarene University", "Kansas"], ["Middle Tennessee State University", "Tennessee"], ["Middlebury College", "Vermont"], ["Midland College", "Texas"], ["Midland University", "Nebraska"], ["Midstate College", "Illinois"], ["Midway College", "Kentucky"], ["Midwestern State University", "Texas"], ["Miles College", "Alabama"], ["Millersville University of Pennsylvania", "Pennsylvania"], ["Milligan College", "Tennessee"], ["Millikin University", "Illinois"], ["Mills College", "California"], ["Millsaps College", "Mississippi"], ["Milwaukee School of Engineering", "Wisconsin"], ["Minneapolis College of Art and Design", "Minnesota"], ["Minot State University", "North Dakota"], ["Misericordia University", "Pennsylvania"], ["Mississippi College", "Mississippi"], ["Mississippi State University", "Mississippi"], ["Mississippi University for Women", "Mississippi"], ["Mississippi Valley State University", "Mississippi"], ["Missouri Baptist University", "Missouri"], ["Missouri Southern State University", "Missouri"], ["Missouri State University", "Missouri"], ["Missouri Valley College", "Missouri"], ["Missouri Western State University", "Missouri"], ["Mitchell College", "Connecticut"], ["Molloy College", "New York"], ["Monmouth College", "Illinois"], ["Monmouth University", "New Jersey"], ["Monroe College", "New York"], ["Montana Tech of the University of Montana", "Montana"], ["Montclair State University", "New Jersey"], ["Montreat College", "North Carolina"], ["Montserrat College of Art", "Massachusetts"], ["Moody Bible Institute", "Illinois"], ["Moravian College", "Pennsylvania"], ["Morehead State University", "Kentucky"], ["Morehouse College", "Georgia"], ["Morgan State University", "Maryland"], ["Morningside College", "Iowa"], ["Morris College", "South Carolina"], ["Mount Aloysius College", "Pennsylvania"], ["Mount Angel Seminary", "Oregon"], ["Mount Carmel College of Nursing", "Ohio"], ["Mount Holyoke College", "Massachusetts"], ["Mount Ida College", "Massachusetts"], ["Mount Marty College", "South Dakota"], ["Mount Mary University", "Wisconsin"], ["Mount Mercy University", "Iowa"], ["Mount Olive College", "North Carolina"], ["Mount St. Mary's College", "California"], ["Mount Vernon Nazarene University", "Ohio"], ["Muhlenberg College", "Pennsylvania"], ["Multnomah University", "Oregon"], ["Murray State University", "Kentucky"], ["Muskingum University", "Ohio"], ["Naropa University", "Colorado"], ["National Graduate School of Quality Management", "Massachusetts"], ["National Labor College", "Maryland"], ["National University", "California"], ["Nazarene Bible College", "Colorado"], ["Nebraska Wesleyan University", "Nebraska"], ["Neumann University", "Pennsylvania"], ["New College of Florida", "Florida"], ["New England College", "New Hampshire"], ["New England Institute of Technology", "Rhode Island"], ["New Jersey City University", "New Jersey"], ["New Jersey Institute of Technology", "New Jersey"], ["New Mexico Highlands University", "New Mexico"], ["New Mexico Institute of Mining and Technology", "New Mexico"], ["New Mexico State University", "New Mexico"], ["New Orleans Baptist Theological Seminary", "Louisiana"], ["New York University", "New York"], ["Newberry College", "South Carolina"], ["Newman University", "Kansas"], ["Niagara University", "New York"], ["Nicholls State University", "Louisiana"], ["Nichols College", "Massachusetts"], ["Norfolk State University", "Virginia"], ["North Carolina Central University", "North Carolina"], ["North Carolina Wesleyan College", "North Carolina"], ["North Central College", "Illinois"], ["North Central University", "Minnesota"], ["North Greenville University", "South Carolina"], ["North Park University", "Illinois"], ["Northcentral University", "Arizona"], ["Northeastern Illinois University", "Illinois"], ["Northeastern State University", "Oklahoma"], ["Northeastern University", "Massachusetts"], ["Northern Arizona University", "Arizona"], ["Northern Illinois University", "Illinois"], ["Northern Kentucky University", "Kentucky"], ["Northern Michigan University", "Michigan"], ["Northern New Mexico College", "New Mexico"], ["Northern State University", "South Dakota"], ["Northland College", "Wisconsin"], ["Northwest Christian University", "Oregon"], ["Northwest Missouri State University", "Missouri"], ["Northwest Nazarene University", "Idaho"], ["Northwest University", "Washington"], ["Northwestern College", "Iowa"], ["Northwestern Health Sciences University", "Minnesota"], ["Northwestern Oklahoma State University", "Oklahoma"], ["Northwestern State University of Louisiana", "Louisiana"], ["Northwestern University", "Illinois"], ["Northwood University", "Michigan"], ["Norwich University", "Vermont"], ["Notre Dame de Namur University", "California"], ["Notre Dame of Maryland University", "Maryland"], ["Nova Southeastern University", "Florida"], ["Nyack College", "New York"], ["Oakland City University", "Indiana"], ["Oakland University", "Michigan"], ["Oakwood University", "Alabama"], ["Oberlin College", "Ohio"], ["Occidental College", "California"], ["Oglala Lakota College", "South Dakota"], ["Oglethorpe University", "Georgia"], ["Ohio Christian University", "Ohio"], ["Ohio Dominican University", "Ohio"], ["Ohio Northern University", "Ohio"], ["Ohio Valley University", "West Virginia"], ["Ohio Wesleyan University", "Ohio"], ["Oklahoma Baptist University", "Oklahoma"], ["Oklahoma Christian University", "Oklahoma"], ["Oklahoma City University", "Oklahoma"], ["Oklahoma Panhandle State University", "Oklahoma"], ["Oklahoma State University", "Oklahoma"], ["Oklahoma Wesleyan University", "Oklahoma"], ["Old Dominion University", "Virginia"], ["Olivet College", "Michigan"], ["Olivet Nazarene University", "Illinois"], ["Olympic College", "Washington"], ["Oral Roberts University", "Oklahoma"], ["Oregon College of Art and Craft", "Oregon"], ["Oregon Institute of Technology", "Oregon"], ["Oregon State University", "Oregon"], ["Otis College of Art and Design", "California"], ["Ottawa University", "Kansas"], ["Otterbein University", "Ohio"], ["Ouachita Baptist University", "Arkansas"], ["Our Lady of Holy Cross College", "Louisiana"], ["Our Lady of the Lake College", "Louisiana"], ["Our Lady of the Lake University", "Texas"], ["Pacific Lutheran University", "Washington"], ["Pacific Northwest College of Art", "Oregon"], ["Pacific Oaks College", "California"], ["Pacific Union College", "California"], ["Pacific University", "Oregon"], ["Paine College", "Georgia"], ["Palmer College of Chiropractic", "Iowa"], ["Park University", "Missouri"], ["Parker University", "Texas"], ["Patten University", "California"], ["Peirce College", "Pennsylvania"], ["Peninsula College", "Washington"], ["Pennsylvania College of Art and Design", "Pennsylvania"], ["Pennsylvania College of Technology", "Pennsylvania"], ["Pepperdine University", "California"], ["Peru State College", "Nebraska"], ["Pfeiffer University", "North Carolina"], ["Philadelphia University", "Pennsylvania"], ["Philander Smith College", "Arkansas"], ["Piedmont College", "Georgia"], ["Pine Manor College", "Massachusetts"], ["Pittsburg State University", "Kansas"], ["Pitzer College", "California"], ["Plaza College", "New York"], ["Plymouth State University", "New Hampshire"], ["Point Loma Nazarene University", "California"], ["Point Park University", "Pennsylvania"], ["Point University", "Georgia"], ["Polytechnic Institute of New York University", "New York"], ["Pomona College", "California"], ["Pontifical Catholic University of Puerto Rico", "Puerto Rico"], ["Pontifical College Josephinum", "Ohio"], ["Portland State University", "Oregon"], ["Post University", "Connecticut"], ["Potomac College", "District of Columbia"], ["Presbyterian College", "South Carolina"], ["Prescott College", "Arizona"], ["Presentation College", "South Dakota"], ["Princeton University", "New Jersey"], ["Principia College", "Illinois"], ["Providence College", "Rhode Island"], ["Puerto Rico Conservatory of Music", "Puerto Rico"], ["Queens University of Charlotte", "North Carolina"], ["Quincy University", "Illinois"], ["Quinnipiac University", "Connecticut"], ["Radford University", "Virginia"], ["Ramapo College of New Jersey", "New Jersey"], ["Randolph-Macon College", "Virginia"], ["Ranken Technical College", "Missouri"], ["Reed College", "Oregon"], ["Regent University", "Virginia"], ["Regis College", "Massachusetts"], ["Regis University", "Colorado"], ["Reinhardt University", "Georgia"], ["Rensselaer Polytechnic Institute", "New York"], ["Research College of Nursing", "Missouri"], ["Resurrection University", "Illinois"], ["Rhode Island College", "Rhode Island"], ["Rhode Island School of Design", "Rhode Island"], ["Rhodes College", "Tennessee"], ["Rice University", "Texas"], ["Rider University", "New Jersey"], ["Ringling College of Art and Design", "Florida"], ["Ripon College", "Wisconsin"], ["Rivier University", "New Hampshire"], ["Roanoke College", "Virginia"], ["Robert B. Miller College", "Michigan"], ["Robert Morris University", "Pennsylvania"], ["Roberts Wesleyan College", "New York"], ["Rochester College", "Michigan"], ["Rochester Institute of Technology", "New York"], ["Rockford University", "Illinois"], ["Rockhurst University", "Missouri"], ["Rocky Mountain College of Art and Design", "Colorado"], ["Rocky Mountain College", "Montana"], ["Roger Williams University", "Rhode Island"], ["Rogers State University", "Oklahoma"], ["Rollins College", "Florida"], ["Roosevelt University", "Illinois"], ["Rosalind Franklin University of Medicine and Science", "Illinois"], ["Rose-Hulman Institute of Technology", "Indiana"], ["Rosemont College", "Pennsylvania"], ["Rowan University", "New Jersey"], ["Rush University", "Illinois"], ["Rust College", "Mississippi"], ["SUNY College of Environmental Science and Forestry", "New York"], ["SUNY Downstate Medical Center", "New York"], ["SUNY Downstate Medical Center", "New York"], ["SUNY Empire State College", "New York"], ["SUNY Maritime College", "New York"], ["Sacred Heart Major Seminary", "Michigan"], ["Sacred Heart University", "Connecticut"], ["Saginaw Valley State University", "Michigan"], ["Salem College", "North Carolina"], ["Salem International University", "West Virginia"], ["Salem State University", "Massachusetts"], ["Salisbury University", "Maryland"], ["Salish Kootenai College", "Montana"], ["Salve Regina University", "Rhode Island"], ["Sam Houston State University", "Texas"], ["Samford University", "Alabama"], ["Samuel Merritt University", "California"], ["San Diego Christian College", "California"], ["San Diego State University", "California"], ["San Francisco Art Institute", "California"], ["San Francisco Conservatory of Music", "California"], ["San Francisco State University", "California"], ["San Jose State University", "California"], ["Santa Clara University", "California"], ["Santa Fe University of Art and Design", "New Mexico"], ["Sarah Lawrence College", "New York"], ["Savannah College of Art and Design", "Georgia"], ["Savannah State University", "Georgia"], ["School of Visual Arts", "New York"], ["School of the Art Institute of Chicago", "Illinois"], ["Schreiner University", "Texas"], ["Scripps College", "California"], ["Seattle Pacific University", "Washington"], ["Seattle University", "Washington"], ["Seton Hall University", "New Jersey"], ["Seton Hill University", "Pennsylvania"], ["Shaw University", "North Carolina"], ["Shawnee State University", "Ohio"], ["Shenandoah University", "Virginia"], ["Shepherd University", "West Virginia"], ["Shimer College", "Illinois"], ["Shippensburg University of Pennsylvania", "Pennsylvania"], ["Shorter University", "Georgia"], ["Siena College", "New York"], ["Siena Heights University", "Michigan"], ["Sierra Nevada College", "Nevada"], ["Silver Lake College", "Wisconsin"], ["Simmons College", "Massachusetts"], ["Simpson College", "Iowa"], ["Simpson University", "California"], ["Sinte Gleska University", "South Dakota"], ["Sitting Bull College", "North Dakota"], ["Skidmore College", "New York"], ["Slippery Rock University of Pennsylvania", "Pennsylvania"], ["Smith College", "Massachusetts"], ["Sojourner-Douglass College", "Maryland"], ["Soka University of America", "California"], ["Sonoma State University", "California"], ["South Carolina State University", "South Carolina"], ["South College", "Tennessee"], ["South Dakota School of Mines and Technology", "South Dakota"], ["South Dakota State University", "South Dakota"], ["South Seattle Community College", "Washington"], ["South Texas College", "Texas"], ["Southeast Missouri State University", "Missouri"], ["Southeastern Louisiana University", "Louisiana"], ["Southeastern Oklahoma State University", "Oklahoma"], ["Southeastern University", "Florida"], ["Southeastern University", "District of Columbia"], ["Southern Adventist University", "Tennessee"], ["Southern California Institute of Architecture", "California"], ["Southern Connecticut State University", "Connecticut"], ["Southern Methodist University", "Texas"], ["Southern Nazarene University", "Oklahoma"], ["Southern New Hampshire University", "New Hampshire"], ["Southern Oregon University", "Oregon"], ["Southern Polytechnic State University", "Georgia"], ["Southern Utah University", "Utah"], ["Southern Vermont College", "Vermont"], ["Southern Wesleyan University", "South Carolina"], ["Southwest Baptist University", "Missouri"], ["Southwest Minnesota State University", "Minnesota"], ["Southwest University of Visual Arts", "Arizona"], ["Southwestern Adventist University", "Texas"], ["Southwestern Assemblies of God University", "Texas"], ["Southwestern Christian College", "Texas"], ["Southwestern Christian University", "Oklahoma"], ["Southwestern College", "Kansas"], ["Southwestern College", "New Mexico"], ["Southwestern College", "California"], ["Southwestern Oklahoma State University", "Oklahoma"], ["Southwestern University", "Texas"], ["Spalding University", "Kentucky"], ["Spelman College", "Georgia"], ["Spring Arbor University", "Michigan"], ["Spring Hill College", "Alabama"], ["Springfield College", "Massachusetts"], ["St. Bonaventure University", "New York"], ["St. Catherine University", "Minnesota"], ["St. Edward's University", "Texas"], ["St. Francis College", "New York"], ["St. John's College", "New Mexico"], ["St. John's College", "Maryland"], ["St. John's College", "Illinois"], ["St. Lawrence University", "New York"], ["St. Mary's College of Maryland", "Maryland"], ["St. Olaf College", "Minnesota"], ["St. Petersburg College", "Florida"], ["St. Thomas Aquinas College", "New York"], ["Stanford University", "California"], ["Stephens College", "Missouri"], ["Sterling College", "Kansas"], ["Sterling College", "Vermont"], ["Stetson University", "Florida"], ["Stevens Institute of Technology", "New Jersey"], ["Stevenson University", "Maryland"], ["Stillman College", "Alabama"], ["Stonehill College", "Massachusetts"], ["Strayer University", "District of Columbia"], ["Suffolk University", "Massachusetts"], ["Sul Ross State University", "Texas"], ["Sullivan University", "Kentucky"], ["Susquehanna University", "Pennsylvania"], ["Swarthmore College", "Pennsylvania"], ["Sweet Briar College", "Virginia"], ["Syracuse University", "New York"], ["Tabor College", "Kansas"], ["Talladega College", "Alabama"], ["Tarleton State University", "Texas"], ["Taylor University", "Indiana"], ["Temple University", "Pennsylvania"], ["Tennessee State University", "Tennessee"], ["Tennessee Technological University", "Tennessee"], ["Tennessee Wesleyan College", "Tennessee"], ["Texas Christian University", "Texas"], ["Texas College", "Texas"], ["Texas Lutheran University", "Texas"], ["Texas Southern University", "Texas"], ["Texas State University", "Texas"], ["Texas Tech University Health Sciences Center", "Texas"], ["Texas Tech University", "Texas"], ["Texas Wesleyan University", "Texas"], ["Texas Woman's University", "Texas"], ["The Citadel", "South Carolina"], ["The Sage Colleges", "New York"], ["Thiel College", "Pennsylvania"], ["Thomas Aquinas College", "California"], ["Thomas College", "Maine"], ["Thomas Edison State College", "New Jersey"], ["Thomas Jefferson University", "Pennsylvania"], ["Thomas More College of Liberal Arts", "New Hampshire"], ["Thomas More College", "Kentucky"], ["Thomas University", "Georgia"], ["Tiffin University", "Ohio"], ["Toccoa Falls College", "Georgia"], ["Tougaloo College", "Mississippi"], ["Touro College", "New York"], ["Towson University", "Maryland"], ["Transylvania University", "Kentucky"], ["Trevecca Nazarene University", "Tennessee"], ["Trident University International", "California"], ["Trine University", "Indiana"], ["Trinity Christian College", "Illinois"], ["Trinity College", "Connecticut"], ["Trinity College", "California"], ["Trinity International University", "Illinois"], ["Trinity Lutheran College", "Washington"], ["Trinity University", "Texas"], ["Troy University", "Alabama"], ["Truman State University", "Missouri"], ["Tufts University", "Massachusetts"], ["Tulane University", "Louisiana"], ["Tusculum College", "Tennessee"], ["Tuskegee University", "Alabama"], ["Union College", "Kentucky"], ["Union College", "Nebraska"], ["Union College", "New York"], ["Union University", "Tennessee"], ["United States Air Force Academy", "Colorado"], ["United States Coast Guard Academy", "Connecticut"], ["United States Merchant Marine Academy", "New York"], ["United States Military Academy", "New York"], ["United States Naval Academy", "Maryland"], ["United States Sports Academy", "Alabama"], ["Unity College", "Maine"], ["Universidad Adventista de las Antillas", "Puerto Rico"], ["University of Advancing Technology", "Arizona"], ["University of Akron", "Ohio"], ["University of Arizona", "Arizona"], ["University of Arkansas for Medical Sciences", "Arkansas"], ["University of Baltimore", "Maryland"], ["University of Bridgeport", "Connecticut"], ["University of Central Arkansas", "Arkansas"], ["University of Central Florida", "Florida"], ["University of Central Missouri", "Missouri"], ["University of Central Oklahoma", "Oklahoma"], ["University of Charleston", "West Virginia"], ["University of Chicago", "Illinois"], ["University of Connecticut", "Connecticut"], ["University of Dallas", "Texas"], ["University of Dayton", "Ohio"], ["University of Delaware", "Delaware"], ["University of Denver", "Colorado"], ["University of Detroit Mercy", "Michigan"], ["University of Dubuque", "Iowa"], ["University of Evansville", "Indiana"], ["University of Florida", "Florida"], ["University of Georgia", "Georgia"], ["University of Great Falls", "Montana"], ["University of Guam", "Guam"], ["University of Hartford", "Connecticut"], ["University of Houston", "Texas"], ["University of Idaho", "Idaho"], ["University of Indianapolis", "Indiana"], ["University of Iowa", "Iowa"], ["University of Kansas", "Kansas"], ["University of Kentucky", "Kentucky"], ["University of La Verne", "California"], ["University of Louisville", "Kentucky"], ["University of Maine", "Maine"], ["University of Mary Hardin-Baylor", "Texas"], ["University of Mary Washington", "Virginia"], ["University of Mary", "North Dakota"], ["University of Medicine and Dentistry of New Jersey", "New Jersey"], ["University of Memphis", "Tennessee"], ["University of Miami", "Florida"], ["University of Mississippi Medical Center", "Mississippi"], ["University of Mobile", "Alabama"], ["University of Montevallo", "Alabama"], ["University of Mount Union", "Ohio"], ["University of Nebraska Medical Center", "Nebraska"], ["University of New England", "Maine"], ["University of New Hampshire", "New Hampshire"], ["University of New Haven", "Connecticut"], ["University of New Orleans", "Louisiana"], ["University of North Alabama", "Alabama"], ["University of North Dakota", "North Dakota"], ["University of North Florida", "Florida"], ["University of North Texas", "Texas"], ["University of Northern Colorado", "Colorado"], ["University of Northern Iowa", "Iowa"], ["University of Northwestern Ohio", "Ohio"], ["University of Notre Dame", "Indiana"], ["University of Oklahoma", "Oklahoma"], ["University of Oregon", "Oregon"], ["University of Pennsylvania", "Pennsylvania"], ["University of Phoenix", "Arizona"], ["University of Pikeville", "Kentucky"], ["University of Portland", "Oregon"], ["University of Puget Sound", "Washington"], ["University of Redlands", "California"], ["University of Rhode Island", "Rhode Island"], ["University of Richmond", "Virginia"], ["University of Rio Grande", "Ohio"], ["University of Rochester", "New York"], ["University of San Diego", "California"], ["University of San Francisco", "California"], ["University of Science and Arts of Oklahoma", "Oklahoma"], ["University of Scranton", "Pennsylvania"], ["University of Sioux Falls", "South Dakota"], ["University of South Alabama", "Alabama"], ["University of South Dakota", "South Dakota"], ["University of South Florida", "Florida"], ["University of Southern California", "California"], ["University of Southern Indiana", "Indiana"], ["University of Southern Maine", "Maine"], ["University of Southern Mississippi", "Mississippi"], ["University of St. Francis", "Illinois"], ["University of St. Thomas", "Minnesota"], ["University of St. Thomas", "Texas"], ["University of Tennessee", "Tennessee"], ["University of Toledo", "Ohio"], ["University of Tulsa", "Oklahoma"], ["University of Utah", "Utah"], ["University of Vermont", "Vermont"], ["University of Virginia", "Virginia"], ["University of West Alabama", "Alabama"], ["University of West Georgia", "Georgia"], ["University of Wyoming", "Wyoming"], ["University of the Cumberlands", "Kentucky"], ["University of the District of Columbia", "District of Columbia"], ["University of the Incarnate Word", "Texas"], ["University of the Ozarks", "Arkansas"], ["University of the Pacific", "California"], ["University of the Sacred Heart", "Puerto Rico"], ["University of the Sciences", "Pennsylvania"], ["University of the Southwest", "New Mexico"], ["University of the Virgin Islands", "Virgin Islands"], ["University of the West", "California"], ["Upper Iowa University", "Iowa"], ["Urbana University", "Ohio"], ["Ursinus College", "Pennsylvania"], ["Ursuline College", "Ohio"], ["Utah State University", "Utah"], ["Utah Valley University", "Utah"], ["Utica College", "New York"], ["Valdosta State University", "Georgia"], ["Valley City State University", "North Dakota"], ["Valley Forge Christian College", "Pennsylvania"], ["Valparaiso University", "Indiana"], ["VanderCook College of Music", "Illinois"], ["Vanderbilt University", "Tennessee"], ["Vanguard University of Southern California", "California"], ["Vassar College", "New York"], ["Vaughn College of Aeronautics and Technology", "New York"], ["Vermont Technical College", "Vermont"], ["Victory University", "Tennessee"], ["Villanova University", "Pennsylvania"], ["Vincennes University", "Indiana"], ["Virginia Commonwealth University", "Virginia"], ["Virginia Intermont College", "Virginia"], ["Virginia Military Institute", "Virginia"], ["Virginia State University", "Virginia"], ["Virginia Union University", "Virginia"], ["Virginia Wesleyan College", "Virginia"], ["Viterbo University", "Wisconsin"], ["Voorhees College", "South Carolina"], ["Wabash College", "Indiana"], ["Wagner College", "New York"], ["Wake Forest University", "North Carolina"], ["Walden University", "Minnesota"], ["Waldorf College", "Iowa"], ["Walla Walla University", "Washington"], ["Walsh College of Accountancy and Business Administration", "Michigan"], ["Walsh University", "Ohio"], ["Warner Pacific College", "Oregon"], ["Warner University", "Florida"], ["Warren Wilson College", "North Carolina"], ["Wartburg College", "Iowa"], ["Washburn University", "Kansas"], ["Washington Adventist University", "Maryland"], ["Washington College", "Maryland"], ["Washington State University", "Washington"], ["Washington and Lee University", "Virginia"], ["Watkins College of Art, Design & Film", "Tennessee"], ["Wayland Baptist University", "Texas"], ["Wayne State College", "Nebraska"], ["Wayne State University", "Michigan"], ["Waynesburg University", "Pennsylvania"], ["Webb Institute", "New York"], ["Webber International University", "Florida"], ["Weber State University", "Utah"], ["Webster University", "Missouri"], ["Welch College", "Tennessee"], ["Wellesley College", "Massachusetts"], ["Wells College", "New York"], ["Wentworth Institute of Technology", "Massachusetts"], ["Wesley College", "Mississippi"], ["Wesley College", "Delaware"], ["Wesleyan College", "Georgia"], ["Wesleyan University", "Connecticut"], ["West Chester University of Pennsylvania", "Pennsylvania"], ["West Liberty University", "West Virginia"], ["West Virginia State University", "West Virginia"], ["West Virginia University", "West Virginia"], ["West Virginia Wesleyan College", "West Virginia"], ["Western Carolina University", "North Carolina"], ["Western Connecticut State University", "Connecticut"], ["Western Governors University", "Utah"], ["Western Illinois University", "Illinois"], ["Western International University", "Arizona"], ["Western Kentucky University", "Kentucky"], ["Western Michigan University", "Michigan"], ["Western Nevada College", "Nevada"], ["Western New Mexico University", "New Mexico"], ["Western Oregon University", "Oregon"], ["Western Washington University", "Washington"], ["Westfield State University", "Massachusetts"], ["Westminster College", "Utah"], ["Westminster College", "Missouri"], ["Westminster College", "Pennsylvania"], ["Westmont College", "California"], ["Wheaton College", "Massachusetts"], ["Wheaton College", "Illinois"], ["Wheeling Jesuit University", "West Virginia"], ["Wheelock College", "Massachusetts"], ["Whitman College", "Washington"], ["Whittier College", "California"], ["Whitworth University", "Washington"], ["Wichita State University", "Kansas"], ["Wilberforce University", "Ohio"], ["Wiley College", "Texas"], ["Wilkes University", "Pennsylvania"], ["Willamette University", "Oregon"], ["William Carey University", "Mississippi"], ["William Jessup University", "California"], ["William Jewell College", "Missouri"], ["William Paterson University of New Jersey", "New Jersey"], ["William Peace University", "North Carolina"], ["William Penn University", "Iowa"], ["William Woods University", "Missouri"], ["Williams Baptist College", "Arkansas"], ["Williams College", "Massachusetts"], ["Wilmington College", "Ohio"], ["Wilmington University", "Delaware"], ["Wilson College", "Pennsylvania"], ["Wingate University", "North Carolina"], ["Winona State University", "Minnesota"], ["Winston-Salem State University", "North Carolina"], ["Winthrop University", "South Carolina"], ["Wisconsin Lutheran College", "Wisconsin"], ["Wittenberg University", "Ohio"], ["Wofford College", "South Carolina"], ["Woodbury University", "California"], ["Worcester Polytechnic Institute", "Massachusetts"], ["Worcester State University", "Massachusetts"], ["Wright State University", "Ohio"], ["Xavier University of Louisiana", "Louisiana"], ["Xavier University", "Ohio"], ["Yale University", "Connecticut"], ["Yeshiva University", "New York"], ["York College of Pennsylvania", "Pennsylvania"], ["York College", "Nebraska"], ["Youngstown State University", "Ohio"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case9_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case9_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------------------------------------------------------|
| Marlboro College |
| Dalton State College |
| Trevecca Nazarene University |
| Messiah College |
| Medical University of South Carolina |
| Faulkner University |
| Sierra Nevada College |
| University of Hartford |
| Washington and Lee University |
| Belhaven University |
| McMurry University |
| Centre College |
| Franklin College |
| George Washington University |
| Metropolitan State University |
| Harrisburg University of Science and Technology |
| Michigan State University |
| Eastern New Mexico University |
| Dordt College |
| University of Toledo |
| Clear Creek Baptist Bible College |
| Fordham University |
| Green Mountain College |
| Dakota Wesleyan University |
| Dunwoody College of Technology |
| Virginia Wesleyan College |
| Indiana University of Pennsylvania |
| University of Virginia |
| Southeast Missouri State University |
| Athens State University |
| Northern New Mexico College |
| Pittsburg State University |
| Graceland University |
| Walsh University |
| Spelman College |
| Berea College |
| Illinois State University |
| Mount St. Mary's College |
| University of Utah |
| Academy of Art University |
| Oklahoma Christian University |
| Missouri Western State University |
| Bethel College |
| Ursuline College |
| College for Creative Studies |
| Blue Mountain College |
| Rhode Island School of Design |
| Waldorf College |
| Allen University |
| Albany State University |
| Ave Maria University |
| Chadron State College |
| Maranatha Baptist Bible College |
| Pacific Union College |
| Allen College |
| Fort Lewis College |
| University of Rhode Island |
| La Roche College |
| Manchester University |
| Pennsylvania College of Art and Design |
| Colorado Christian University |
| Wells College |
| University of Mary |
| Kentucky State University |
| Angelo State University |
| Ohio Valley University |
| Wartburg College |
| Biola University |
| Meredith College |
| St. Lawrence University |
| Art Academy of Cincinnati |
| Framingham State University |
| Southwestern Adventist University |
| East Stroudsburg University of Pennsylvania |
| Brewton-Parker College |
| Colby-Sawyer College |
| Millersville University of Pennsylvania |
| Florida Gulf Coast University |
| Soka University of America |
| Kennesaw State University |
| United States Military Academy |
| Lakeview College of Nursing |
| Maine Maritime Academy |
| Webb Institute |
| Lindsey Wilson College |
| Middlebury College |
| New Orleans Baptist Theological Seminary |
| Texas Tech University |
| Northern Kentucky University |
| Dickinson College |
| Ashland University |
| Point Park University |
| Longwood University |
| Swarthmore College |
| Hamline University |
| Eastern Michigan University |
| Divine Word College |
| Metropolitan College of New York |
| University of Denver |
| Manhattan College |
| Ohio Wesleyan University |
| Simmons College |
| Converse College |
| University of Kentucky |
| Kansas State University |
| Temple University |
| Nichols College |
| Oglethorpe University |
| Kentucky Christian University |
| Alderson Broaddus University |
| Hodges University |
| Cleveland Institute of Music |
| Nyack College |
| Unity College |
| Muhlenberg College |
| Cornish College of the Arts |
| East Tennessee State University |
| Castleton State College |
| University of Southern Maine |
| Arcadia University |
| University of Tennessee |
| University of the District of Columbia |
| Misericordia University |
| Edward Waters College |
| Rowan University |
| Seattle University |
| Hillsdale College |
| York College of Pennsylvania |
| Hebrew Theological College |
| Westminster College |
| Hamilton College |
| Touro College |
| Lake Forest College |
| Grace College and Seminary |
| Salem State University |
| Indiana University Southeast |
| Barnard College |
| Furman University |
| Nicholls State University |
| Hampshire College |
| Idaho State University |
| Indiana State University |
| Marian University |
| Montclair State University |
| Capella University |
| Boise State University |
| Chatham University |
| Monmouth University |
| Alma College |
| Christopher Newport University |
| Lynn University |
| Centenary College of Louisiana |
| Clarkson University |
| Malone University |
| Lander University |
| Texas Wesleyan University |
| Yale University |
| University of Mary Hardin-Baylor |
| University of Northern Iowa |
| Northwest University |
| DePauw University |
| Loyola Marymount University |
| Massachusetts College of Art and Design |
| Hampden-Sydney College |
| Gettysburg College |
| Lewis & Clark College |
| Carson-Newman University |
| Bluefield State College |
| Averett University |
| Lawrence University |
| Pennsylvania College of Technology |
| Adventist University of Health Sciences |
| LeMoyne-Owen College |
| Southwest University of Visual Arts |
| D'Youville College |
| Anna Maria College |
| Dickinson State University |
| Lasell College |
| Western Kentucky University |
| Bellevue College |
| Allegheny College |
| Flagler College |
| Oklahoma State University |
| College of Idaho |
| Texas Christian University |
| Delaware Valley College |
| Charleston Southern University |
| Midstate College |
| Lees-McRae College |
| Olympic College |
| Elizabeth City State University |
| Emory University |
| Benedictine College |
| Wilkes University |
| McKendree University |
| Morehead State University |
| Quinnipiac University |
| Barton College |
| Illinois Wesleyan University |
| Bismarck State College |
| Muskingum University |
| Pine Manor College |
| Shenandoah University |
| Wayne State University |
| William Jessup University |
| Trinity Lutheran College |
| Minneapolis College of Art and Design |
| Fort Hays State University |
| Thomas More College |
| San Francisco Conservatory of Music |
| SUNY College of Environmental Science and Forestry |
| Indiana University East |
| ECPI University |
| Whitman College |
| Cabrini College |
| Boston University |
| Keiser University |
| Victory University |
| Eastern Nazarene College |
| Bemidji State University |
| Central Penn College |
| Utah Valley University |
| Union University |
| Wilmington University |
| Simpson College |
| Corcoran College of Art and Design |
| Cornerstone University |
| Carnegie Mellon University |
| Goshen College |
| Reed College |
| Cincinnati College of Mortuary Science |
| North Central College |
| Westfield State University |
| Northwestern Health Sciences University |
| University of North Florida |
| Pitzer College |
| Macalester College |
| Oklahoma Wesleyan University |
| University of Northern Colorado |
| Eastern Connecticut State University |
| Neumann University |
| Johnson State College |
| Albertus Magnus College |
| Alverno College |
| Bluffton University |
| Park University |
| McPherson College |
| Winston-Salem State University |
| Eureka College |
| Salem College |
| Sterling College |
| Willamette University |
| Bacone College |
| Norwich University |
| Susquehanna University |
| Pepperdine University |
| Langston University |
| Bauder College |
| Wellesley College |
| Madonna University |
| University of Southern Indiana |
| Ferrum College |
| Marygrove College |
| South Seattle Community College |
| Dean College |
| Mills College |
| Cox College |
| Mount Ida College |
| Olivet College |
| Bennington College |
| Southwestern Oklahoma State University |
| Adams State University |
| Mount Vernon Nazarene University |
| Glenville State College |
| St. John's College |
| Goddard College |
| Voorhees College |
| Radford University |
| Rush University |
| Rockford University |
| East Texas Baptist University |
| Marywood University |
| University of Indianapolis |
| Olivet Nazarene University |
| Daniel Webster College |
| Marylhurst University |
| Central College |
| Life Pacific College |
| William Peace University |
| Southwestern Christian University |
| University of Evansville |
| Alliant International University |
| Northwestern College |
| Philander Smith College |
| William Paterson University of New Jersey |
| Southern California Institute of Architecture |
| Dallas Baptist University |
| New Jersey Institute of Technology |
| Frank Lloyd Wright School of Architecture |
| Cogswell Polytechnical College |
| Kuyper College |
| Fisk University |
| New Mexico Highlands University |
| University of Montevallo |
| Creighton University |
| Lewis-Clark State College |
| American InterContinental University |
| Gordon State College |
| Wesley College |
| Tulane University |
| Fairleigh Dickinson University |
| Gardner-Webb University |
| Fresno Pacific University |
| Savannah College of Art and Design |
| California University of Pennsylvania |
| Everglades University |
| Ohio Northern University |
| Scripps College |
| Wilberforce University |
| Dominican University |
| University of Rochester |
| La Salle University |
| Lake Erie College |
| James Madison University |
| Post University |
| Illinois College |
| Newman University |
| Centenary College |
| Lamar University |
| Blessing-Rieman College of Nursing |
| Marist College |
| Hilbert College |
| Southern Connecticut State University |
| Benedict College |
| La Sierra University |
| Babson College |
| Williams College |
| Boston College |
| University of the Sacred Heart |
| Central Connecticut State University |
| Gustavus Adolphus College |
| Delaware State University |
| Colorado State University |
| Wright State University |
| Niagara University |
| University of the Incarnate Word |
| Wilmington College |
| National Graduate School of Quality Management |
| Texas Woman's University |
| Shepherd University |
| Suffolk University |
| Providence College |
| Trinity University |
| Calumet College of St. Joseph |
| City University of Seattle |
| St. Francis College |
| Wisconsin Lutheran College |
| Armstrong Atlantic State University |
| Oakland City University |
| National University |
| Northwestern State University of Louisiana |
| Harvard University |
| Hult International Business School |
| Southwest Baptist University |
| University of Arkansas for Medical Sciences |
| Santa Fe University of Art and Design |
| Research College of Nursing |
| University of Oregon |
| Montserrat College of Art |
| Northwood University |
| San Francisco Art Institute |
| Waynesburg University |
| Monmouth College |
| Grambling State University |
| Pacific University |
| St. Edward's University |
| Davidson College |
| University of the Southwest |
| Belmont Abbey College |
| Asbury University |
| Washington College |
| Hawaii Pacific University |
| Patten University |
| Franklin University |
| Northeastern University |
| Carlos Albizu University |
| Johnson University |
| Caldwell College |
| Metropolitan State University of Denver |
| Rust College |
| Dakota State University |
| Murray State University |
| Bloomfield College |
| Louisiana College |
| University of Richmond |
| Berkeley College |
| Manhattan School of Music |
| Mount Angel Seminary |
| Butler University |
| Pfeiffer University |
| Aurora University |
| Potomac College |
| Regent University |
| School of Visual Arts |
| North Carolina Wesleyan College |
| Ranken Technical College |
| College of Charleston |
| Millikin University |
| Northwest Christian University |
| Resurrection University |
| Merrimack College |
| Nazarene Bible College |
| Tennessee Wesleyan College |
| Mid-Atlantic Christian University |
| Case Western Reserve University |
| Presentation College |
| Rensselaer Polytechnic Institute |
| Loyola University Maryland |
| Miami Dade College |
| University of Chicago |
| Nova Southeastern University |
| University of Dubuque |
| Bryn Mawr College |
| DePaul University |
| University of New Haven |
| Concordia University Chicago |
| University of South Dakota |
| Palmer College of Chiropractic |
| Southern Adventist University |
| Our Lady of the Lake College |
| Parker University |
| University of Mississippi Medical Center |
| Marietta College |
| Bridgewater State University |
| Washburn University |
| Cornell College |
| Fashion Institute of Technology |
| Talladega College |
| University of the Virgin Islands |
| Elmira College |
| Ithaca College |
| Hope College |
| Tennessee State University |
| Buena Vista University |
| Briarcliffe College |
| King's College |
| Fort Valley State University |
| Howard Payne University |
| Lehigh University |
| Thomas University |
| DeVry University |
| Haverford College |
| Silver Lake College |
| Thomas Aquinas College |
| Wayne State College |
| University of Pikeville |
| Utica College |
| Valley City State University |
| Lafayette College |
| Manhattanville College |
| Roberts Wesleyan College |
| Michigan Technological University |
| Carroll University |
| Cumberland University |
| Winthrop University |
| Bloomsburg University of Pennsylvania |
| Eastern Illinois University |
| Wheaton College |
| Oral Roberts University |
| United States Air Force Academy |
| Wofford College |
| Spring Hill College |
| Alcorn State University |
| Southern Vermont College |
| Bastyr University |
| University of Central Missouri |
| Otterbein University |
| Southern Nazarene University |
| Becker College |
| Bates College |
| Benedictine University |
| Wichita State University |
| California Institute of Integral Studies |
| Central Bible College |
| Roanoke College |
| Sul Ross State University |
| Hastings College |
| Medaille College |
| Rochester College |
| Sarah Lawrence College |
| Northland College |
| The Sage Colleges |
| Austin Peay State University |
| Keystone College |
| Florida Atlantic University |
| Ripon College |
| Tarleton State University |
| Morgan State University |
| Crown College |
| Middle Tennessee State University |
| University of the Sciences |
| Mitchell College |
| Grace Bible College |
| Western International University |
| Jewish Theological Seminary of America |
| Culver-Stockton College |
| Lancaster Bible College |
| Wesleyan College |
| Colgate University |
| Bayamon Central University |
| Mount Holyoke College |
| Shawnee State University |
| Roosevelt University |
| Edison State College |
| Texas College |
| Oregon Institute of Technology |
| Rivier University |
| Manhattan Christian College |
| Alice Lloyd College |
| Moravian College |
| Life University |
| American Indian College of the Assemblies of God |
| Brandeis University |
| Colorado College |
| Bryant University |
| Lexington College |
| Knox College |
| Vermont Technical College |
| Southwestern College |
| Cedarville University |
| North Greenville University |
| Concord University |
| Campbell University |
| St. Thomas Aquinas College |
| Bethany Lutheran College |
| Grand View University |
| Endicott College |
| University of Pennsylvania |
| Stonehill College |
| Towson University |
| Duquesne University |
| Urbana University |
| School of the Art Institute of Chicago |
| New Mexico Institute of Mining and Technology |
| Agnes Scott College |
| University of New England |
| Oklahoma City University |
| Bryan College |
| Stanford University |
| Utah State University |
| Warner University |
| Concordia College |
| University of Southern California |
| Greensboro College |
| Menlo College |
| Baptist Bible College |
| Robert B. Miller College |
| Geneva College |
| University of Connecticut |
| University of Rio Grande |
| Wabash College |
| University of Dallas |
| Clark Atlanta University |
| Loma Linda University |
| William Woods University |
| Toccoa Falls College |
| William Penn University |
| Brenau University |
| Marymount University |
| California Institute of the Arts |
| Bellevue University |
| Clarke University |
| Kaplan University |
| Rosalind Franklin University of Medicine and Science |
| California Institute of Technology |
| San Diego Christian College |
| Siena Heights University |
| University of Florida |
| Thomas College |
| University of San Diego |
| Milligan College |
| Daemen College |
| Appalachian State University |
| Multnomah University |
| Georgetown University |
| Oglala Lakota College |
| Georgian Court University |
| SUNY Maritime College |
| Seton Hall University |
| Donnelly College |
| Missouri Baptist University |
| Elon University |
| University of Iowa |
| Capital University |
| Judson College |
| Stevens Institute of Technology |
| Villanova University |
| Assumption College |
| Lyon College |
| Wheelock College |
| Mansfield University of Pennsylvania |
| Occidental College |
| Washington State University |
| Corban University |
| Walsh College of Accountancy and Business Administration |
| Keuka College |
| Principia College |
| Maine College of Art |
| Northern Arizona University |
| Hampton University |
| San Francisco State University |
| Wittenberg University |
| Lynchburg College |
| Rhode Island College |
| Watkins College of Art, Design & Film |
| Western New Mexico University |
| University of Sioux Falls |
| Grand Valley State University |
| Albright College |
| Kansas Wesleyan University |
| Great Lakes Christian College |
| Tougaloo College |
| Naropa University |
| Oklahoma Baptist University |
| University of Redlands |
| California Lutheran University |
| Worcester Polytechnic Institute |
| Savannah State University |
| Lakeland College |
| Davis College |
| University of South Alabama |
| University of St. Thomas |
| Western Governors University |
| University of North Alabama |
| Bridgewater College |
| University of Dayton |
| Portland State University |
| Southern Oregon University |
| Cabarrus College of Health Sciences |
| Stephens College |
| Berry College |
| College of Mount St. Joseph |
| Lebanon Valley College |
| Jacksonville University |
| King University |
| Chicago State University |
| United States Merchant Marine Academy |
| Loyola University New Orleans |
| Emerson College |
| Walden University |
| Great Basin College |
| Our Lady of the Lake University |
| Virginia Intermont College |
| University of Notre Dame |
| Regis College |
| Herzing University |
| Concordia University Wisconsin |
| Dominican University of California |
| Milwaukee School of Engineering |
| United States Coast Guard Academy |
| Chamberlain College of Nursing |
| Maryville College |
| Emmanuel College |
| SUNY Downstate Medical Center |
| University of La Verne |
| Ohio Dominican University |
| Piedmont College |
| Bethel University |
| Central State University |
| Five Towns College |
| Peirce College |
| University of Charleston |
| Bradley University |
| Francis Marion University |
| Webber International University |
| Southern Wesleyan University |
| Thomas More College of Liberal Arts |
| Trinity International University |
| West Virginia Wesleyan College |
| Adelphi University |
| Southeastern University |
| Coastal Carolina University |
| Mount Carmel College of Nursing |
| Northern Michigan University |
| Pontifical College Josephinum |
| Springfield College |
| SUNY Empire State College |
| Western Illinois University |
| AIB College of Business |
| Sweet Briar College |
| Morningside College |
| William Carey University |
| Oakwood University |
| Prescott College |
| Stillman College |
| Claflin University |
| Edinboro University of Pennsylvania |
| Rocky Mountain College of Art and Design |
| Laguna College of Art and Design |
| United States Sports Academy |
| Salem International University |
| Stetson University |
| Christian Brothers University |
| American University of Puerto Rico |
| Edgewood College |
| San Diego State University |
| Samford University |
| Midland University |
| Sacred Heart University |
| Belmont University |
| Millsaps College |
| University of Oklahoma |
| University of Arizona |
| Wheeling Jesuit University |
| University of Mobile |
| Our Lady of Holy Cross College |
| Randolph-Macon College |
| St. Petersburg College |
| Webster University |
| Point University |
| Eckerd College |
| Kettering University |
| Lincoln University |
| Spring Arbor University |
| Holy Apostles College and Seminary |
| Juniata College |
| Augsburg College |
| St. Bonaventure University |
| Saginaw Valley State University |
| Sonoma State University |
| Rice University |
| University of Puget Sound |
| Northcentral University |
| Seattle Pacific University |
| University of Georgia |
| Bucknell University |
| Grace University |
| Baptist Missionary Association Theological Seminary |
| Mississippi Valley State University |
| Vincennes University |
| Valdosta State University |
| Upper Iowa University |
| University of the Cumberlands |
| East-West University |
| Walla Walla University |
| Warren Wilson College |
| American Jewish University |
| Capitol College |
| University of Science and Arts of Oklahoma |
| Franklin Pierce University |
| John Brown University |
| Alabama State University |
| Whitworth University |
| East Carolina University |
| Rosemont College |
| University of Miami |
| Regis University |
| St. Catherine University |
| Daytona State College |
| Howard University |
| Kendall College |
| Carlow University |
| Columbia College Chicago |
| Pacific Northwest College of Art |
| University of Central Florida |
| Vassar College |
| Hanover College |
| Old Dominion University |
| Quincy University |
| Xavier University of Louisiana |
| Augustana College |
| Hiram College |
| College of the Holy Cross |
| Drury University |
| Pacific Oaks College |
| Shimer College |
| Mount Olive College |
| Heidelberg University |
| West Chester University of Pennsylvania |
| Jacksonville State University |
| Gratz College |
| Harvey Mudd College |
| Hellenic College |
| Champlain College |
| Missouri State University |
| Chowan University |
| Antioch University |
| Central Washington University |
| American Academy of Art |
| Ursinus College |
| Denison University |
| Grinnell College |
| Art Center College of Design |
| Bellarmine University |
| University of Detroit Mercy |
| Institute of American Indian and Alaska Native Culture and Arts Development |
| Arkansas State University |
| Georgia Regents University |
| Kent State University |
| Bluefield College |
| University of Phoenix |
| University of West Georgia |
| Martin University |
| Hartwick College |
| Point Loma Nazarene University |
| Western Carolina University |
| Cheyney University of Pennsylvania |
| Florida State University |
| Weber State University |
| Brazosport College |
| Lycoming College |
| Valley Forge Christian College |
| Duke University |
| Paine College |
| Vanguard University of Southern California |
| Plymouth State University |
| Andrews University |
| Bellin College |
| Rockhurst University |
| Conception Seminary College |
| Lincoln Christian University |
| Christendom College |
| Rochester Institute of Technology |
| Skidmore College |
| Adrian College |
| College of Our Lady of the Elms |
| Coppin State University |
| Cleveland State University |
| University of Akron |
| Brescia University |
| Ottawa University |
| Kean University |
| University of Central Arkansas |
| Beloit College |
| Hood College |
| Vanderbilt University |
| New Jersey City University |
| Marymount Manhattan College |
| Wagner College |
| Elmhurst College |
| LeTourneau University |
| University of Central Oklahoma |
| Nebraska Wesleyan University |
| Western Michigan University |
| Xavier University |
| Viterbo University |
| Finlandia University |
| Otis College of Art and Design |
| University of New Orleans |
| Charter Oak State College |
| Cincinnati Christian University |
| South Dakota State University |
| Grove City College |
| Lincoln Memorial University |
| Midway College |
| National Labor College |
| Mary Baldwin College |
| Gannon University |
| Georgia State University |
| Woodbury University |
| Trident University International |
| Dallas Christian College |
| Wiley College |
| Rocky Mountain College |
| Shorter University |
| Erskine College |
| California College of the Arts |
| Drexel University |
| North Carolina Central University |
| Oberlin College |
| Virginia State University |
| Carroll College |
| Sam Houston State University |
| Avila University |
| Beacon College |
| Salisbury University |
| Black Hills State University |
| Massachusetts Institute of Technology |
| Boricua College |
| Felician College |
| Henderson State University |
| Catawba College |
| Grand Canyon University |
| Clearwater Christian College |
| University of New Hampshire |
| Oakland University |
| Johns Hopkins University |
| Livingstone College |
| East Central University |
| University of Scranton |
| University of Mary Washington |
| Tiffin University |
| Excelsior College |
| Brown University |
| Eastern Oregon University |
| Houston Baptist University |
| Pomona College |
| Barry University |
| Ouachita Baptist University |
| Reinhardt University |
| Mayville State University |
| Warner Pacific College |
| Johnson & Wales University |
| Polytechnic Institute of New York University |
| Huston-Tillotson University |
| Appalachian Bible College |
| Salish Kootenai College |
| Cameron University |
| Northwestern Oklahoma State University |
| Valparaiso University |
| Anderson University |
| Davenport University |
| Western Nevada College |
| California Maritime Academy |
| North Park University |
| Cedar Crest College |
| Lincoln College |
| West Liberty University |
| Culinary Institute of America |
| Columbia College |
| Peru State College |
| Ohio Christian University |
| Northwest Missouri State University |
| Arkansas Baptist College |
| New York University |
| Notre Dame de Namur University |
| Minot State University |
| Ashford University |
| Rhodes College |
| Northern State University |
| Florida International University |
| Central Methodist University |
| Tennessee Technological University |
| Calvary Bible College and Theological Seminary |
| New England College |
| Lawrence Technological University |
| Monroe College |
| Mississippi State University |
| Ball State University |
| Sacred Heart Major Seminary |
| Princeton University |
| Franklin W. Olin College of Engineering |
| Mid-Continent University |
| University of Delaware |
| Whittier College |
| Montreat College |
| Trinity College |
| American Public University System |
| Vaughn College of Aeronautics and Technology |
| George Fox University |
| Oregon State University |
| Friends University |
| Cairn University |
| University of the West |
| Brandman University |
| Carthage College |
| University of Advancing Technology |
| Curry College |
| Bethany College |
| Southwestern Christian College |
| Burlington College |
| Georgetown College |
| Wilson College |
| Rose-Hulman Institute of Technology |
| University of Nebraska Medical Center |
| Colorado Mesa University |
| Mount Mercy University |
| Mars Hill University |
| University of North Dakota |
| Cleary University |
| Wesleyan University |
| Westmont College |
| Troy University |
| Northern Illinois University |
| Siena College |
| Emmaus Bible College |
| Alaska Pacific University |
| San Jose State University |
| Stevenson University |
| Thomas Edison State College |
| George Mason University |
| Gordon College |
| Harding University |
| Lipscomb University |
| Columbia International University |
| Kansas City Art Institute |
| Linfield College |
| Albion College |
| Fitchburg State University |
| Harrington College of Design |
| Lewis University |
| South College |
| Elizabethtown College |
| Northwest Nazarene University |
| Carleton College |
| New College of Florida |
| Oklahoma Panhandle State University |
| University of Vermont |
| Blackburn College |
| Texas Southern University |
| Franklin and Marshall College |
| Brevard College |
| College of the Atlantic |
| Chapman University |
| Claremont McKenna College |
| Southern New Hampshire University |
| Bay Path College |
| Iowa State University |
| Luther College |
| University of Baltimore |
| University of Memphis |
| Lee University |
| College of William and Mary |
| Strayer University |
| Welch College |
| Ferris State University |
| Robert Morris University |
| Indiana Wesleyan University |
| Notre Dame of Maryland University |
| Hardin-Simmons University |
| Jackson State University |
| American University |
| Hofstra University |
| Hollins University |
| Azusa Pacific University |
| Georgia Southern University |
| Tabor College |
| North Central University |
| Taylor University |
| Connecticut College |
| University of South Florida |
| Martin Luther College |
| Sojourner-Douglass College |
| Eastern Washington University |
| Montana Tech of the University of Montana |
| Simpson University |
| Lesley University |
| Lyme Academy College of Fine Arts |
| Mississippi College |
| Bowdoin College |
| Dowling College |
| Southeastern Louisiana University |
| Southwestern Assemblies of God University |
| Faith Baptist Bible College and Theological Seminary |
| Slippery Rock University of Pennsylvania |
| Wake Forest University |
| University of Houston |
| High Point University |
| Florida Christian College |
| Judson University |
| Clemson University |
| Morehouse College |
| Santa Clara University |
| Midwestern State University |
| Baylor University |
| Florida Southern College |
| University of San Francisco |
| Plaza College |
| University of Portland |
| University of Mount Union |
| Georgia Southwestern State University |
| Covenant College |
| St. Mary's College of Maryland |
| McDaniel College |
| Presbyterian College |
| Williams Baptist College |
| Earlham College |
| South Texas College |
| Dixie State College of Utah |
| University of Louisville |
| Southern Polytechnic State University |
| Amherst College |
| Wingate University |
| Abilene Christian University |
| Berklee College of Music |
| Delta State University |
| Haskell Indian Nations University |
| University of Kansas |
| Lane College |
| Calvin College |
| Trine University |
| Freed-Hardeman University |
| Lubbock Christian University |
| Greenville College |
| University of Guam |
| Virginia Military Institute |
| Defiance College |
| Eastern Mennonite University |
| Illinois Institute of Technology |
| Holy Family University |
| Western Oregon University |
| Fairfield University |
| Texas Lutheran University |
| Lake Superior State University |
| Northeastern Illinois University |
| Southern Methodist University |
| Shaw University |
| LIM College |
| Mount Aloysius College |
| Mount Marty College |
| Drake University |
| Escuela de Artes Plasticas de Puerto Rico |
| Mississippi University for Women |
| Cornell University |
| Columbus State University |
| Sullivan University |
| United States Naval Academy |
| Columbus College of Art and Design |
| College of Southern Nevada |
| Loras College |
| Wentworth Institute of Technology |
| Moody Bible Institute |
| Chancellor University |
| Trinity Christian College |
| Liberty University |
| South Dakota School of Mines and Technology |
| MidAmerica Nazarene University |
| University of the Pacific |
| Maryland Institute College of Art |
| Indiana Institute of Technology |
| Thomas Jefferson University |
| Florida College |
| Abraham Baldwin Agricultural College |
| Bowie State University |
| Immaculata University |
| Campbellsville University |
| Tuskegee University |
| Lourdes University |
| Texas State University |
| Washington Adventist University |
| Lyndon State College |
| Puerto Rico Conservatory of Music |
| Newberry College |
| Gonzaga University |
| Governors State University |
| Truman State University |
| VanderCook College of Music |
| Amberton University |
| Emporia State University |
| LaGrange College |
| St. Olaf College |
| Iowa Wesleyan College |
| University of St. Francis |
| Huntingdon College |
| Schreiner University |
| Transylvania University |
| Peninsula College |
| The Citadel |
| Bard College |
| Humboldt State University |
| Arizona Christian University |
| Coker College |
| Maharishi University of Management |
| Cazenovia College |
| Arizona State University |
| Southwest Minnesota State University |
| Wayland Baptist University |
| Yeshiva University |
| Hope International University |
| Fisher College |
| Goucher College |
| Massachusetts Maritime Academy |
| McNeese State University |
| Chaminade University of Honolulu |
| University of North Texas |
| University of West Alabama |
| Guilford College |
| New Mexico State University |
| Coe College |
| Keene State College |
| Universidad Adventista de las Antillas |
| Husson University |
| Kentucky Wesleyan College |
| Roger Williams University |
| Massachusetts College of Liberal Arts |
| Mercer University |
| Fontbonne University |
| Colorado School of Mines |
| Dartmouth College |
| Holy Names University |
| California Baptist University |
| Rogers State University |
| Southern Utah University |
| Tusculum College |
| Rollins College |
| Aquinas College |
| Mount Mary University |
| Colby College |
| Sitting Bull College |
| Lindenwood University |
| Pacific Lutheran University |
| Canisius College |
| Dillard University |
| Worcester State University |
| Youngstown State University |
| Fairmont State University |
| Jones International University |
| Marquette University |
| Frostburg State University |
| Memphis College of Art |
| Curtis Institute of Music |
| Evangel University |
| College of the Ozarks |
| Concordia University |
| Clarkson College |
| Benjamin Franklin Institute of Technology |
| Central Michigan University |
| Tufts University |
| Indiana University Northwest |
| Winona State University |
| Missouri Southern State University |
| Goldfarb School of Nursing at Barnes-Jewish College |
| University of the Ozarks |
| Cambridge College |
| Le Moyne College |
| Miles College |
| Oregon College of Art and Craft |
| South Carolina State University |
| Missouri Valley College |
| Southeastern Oklahoma State University |
| Baker University |
| MacMurray College |
| Ringling College of Art and Design |
| Norfolk State University |
| Baptist Memorial College of Health Sciences |
| Emory and Henry College |
| West Virginia State University |
| York College |
| Alfred University |
| University of Great Falls |
| Northeastern State University |
| University of Northwestern Ohio |
| University of Medicine and Dentistry of New Jersey |
| Georgia Gwinnett College |
| Houghton College |
| Southwestern University |
| John Carroll University |
| American International College |
| Northwestern University |
| Texas Tech University Health Sciences Center |
| Harris-Stowe State University |
| Chipola College |
| Bowling Green State University |
| Iona College |
| Central Baptist College |
| Midland College |
| Virginia Commonwealth University |
| Arkansas Tech University |
| Briar Cliff University |
| Molloy College |
| Philadelphia University |
| Kalamazoo College |
| Louisiana Tech University |
| Cleveland Institute of Art |
| Doane College |
| Jarvis Christian College |
| Eastern Kentucky University |
| Chestnut Hill College |
| Marshall University |
| Mercy College of Health Sciences |
| Heritage University |
| University of Bridgeport |
| Eastern University |
| Salve Regina University |
| Holy Cross College |
| Colorado Technical University |
| Spalding University |
| Gallaudet University |
| Samuel Merritt University |
| West Virginia University |
| University of Wyoming |
| Syracuse University |
| Kutztown University of Pennsylvania |
| Queens University of Charlotte |
| Morris College |
| Columbia College of Nursing |
| Virginia Union University |
| New England Institute of Technology |
| University of Tulsa |
| Smith College |
| Limestone College |
| Fayetteville State University |
| Pontifical Catholic University of Puerto Rico |
| University of Maine |
| University of Southern Mississippi |
| Franciscan University of Steubenville |
| Thiel College |
| Lock Haven University of Pennsylvania |
| Union College |
| Western Connecticut State University |
| Sinte Gleska University |
| Granite State College |
| William Jewell College |
| Clarion University of Pennsylvania |
| Ramapo College of New Jersey |
| Huntington University |
| Bryn Athyn College of the New Church |
| Western Washington University |
| Austin College |
| Clark University |
| Drew University |
| Rider University |
| Hendrix College |
| Cardinal Stritch University |
| Martin Methodist College |
| DeSales University |
| Bentley University |
| Kenyon College |
| Mid-America Christian University |
| Indian River State College |
| Seton Hill University |
| Florida Memorial University |
| God's Bible School and College |
| Shippensburg University of Pennsylvania |
| Amridge University |
| Goldey-Beacom College |
| University of Idaho |
Input Table 2:
| Col_1 |
|:--------------------|
| Carrollton |
| Morgantown |
| Gold River |
| Austin |
| Seven Hills |
| San Jose |
| Tougaloo |
| Winston Salem |
| Saint Augustine |
| Loudonville |
| Stephenville |
| Ottawa |
| Doylestown |
| North Canton |
| Rocklin |
| Seattle |
| Evanston |
| Laurel |
| Alva |
| Nashville |
| Rockville Centre |
| Poughkeepsie |
| Ripon |
| Santa Fe |
| Temple Terrace |
| Worcester |
| Pella |
| Hanover |
| Chickasha |
| Oakdale |
| Elko |
| Upland |
| Painesville |
| Brookings |
| Institute |
| Fairmont |
| State University |
| West Hartford |
| Bennington |
| Staunton |
| Indianola |
| Edinboro |
| Bloomington |
| Williamstown |
| Hastings |
| Orlando |
| Salina |
| Bourbonnais |
| Pepper Pike |
| Lake Wales |
| Ada |
| Steubenville |
| Castleton |
| High Point |
| Seward |
| Toppenish |
| Jackson |
| Bluffton |
| Banner Elk |
| Carlisle |
| Fort Yates |
| Emporia |
| Warrensburg |
| Wilmington |
| Rapid City |
| Phoenixville |
| Silver City |
| Oberlin |
| Saint George |
| North Chicago |
| Saint Joseph |
| Elon |
| Brooklyn |
| Wellesley |
| Circleville |
| Honolulu |
| Cedar Rapids |
| Charles Town |
| Gary |
| Chestertown |
| New York |
| Kent |
| Moorhead |
| Dover |
| New Ulm |
| Mayfield |
| San Francisco |
| Socorro |
| Orangeburg |
| Tuscaloosa |
| Boone |
| Highland Heights |
| Bryn Mawr |
| McMinnville |
| Laramie |
| Dubuque |
| Cheney |
| Pablo |
| Kansas City |
| Plymouth |
| Holly Springs |
| Bar Harbor |
| Alpine |
| Monmouth |
| Wingate |
| Troy |
| Kutztown |
| Amherst |
| Lake Jackson |
| Rockford |
| Granville |
| Falmouth |
| Mars Hill |
| Front Royal |
| Crete |
| Portland |
| Klamath Falls |
| Flint |
| Joliet |
| Azusa |
| Hancock |
| Lodi |
| North Newton |
| Moscow |
| Tallahassee |
| Wichita |
| Nashua |
| New Britain |
| Clarion |
| Naples |
| New Orleans |
| Denver |
| Lubbock |
| Hillsdale |
| Mount Berry |
| Chicopee |
| Pullman |
| Annandale-On-Hudson |
| Portales |
| Keene |
| Sparkill |
| Toccoa Falls |
| Pineville |
| Toledo |
| Paxton |
| Evansville |
| Northampton |
| Westminster |
| Hobbs |
| Kissimmee |
| Lexington |
| Weatherford |
| Iowa City |
| Westerville |
| Mequon |
| Billings |
| Wilmore |
| Elmhurst |
| Greenville |
| Waynesburg |
| Waverly |
| Bartlesville |
| Goshen |
| Portsmouth |
| Tampa |
| Bayamon |
| Madison |
| Berrien Springs |
| Lindsborg |
| Ithaca |
| Mahwah |
| Summerdale |
| Skokie |
| Pulaski |
| Orem |
| Houghton |
| Weston |
| Hamilton |
| Brownwood |
| Framingham |
| Sherman |
| Grantham |
| Ashland |
| Hoboken |
| Mt. Hope |
| Ames |
| Waterbury |
| La Jolla |
| Livingston |
| Fond du Lac |
| Flagstaff |
| Barnesville |
| Santa Barbara |
| Elmira |
| Lake Charles |
| Niagara University |
| Frostburg |
| Easton |
| Los Angeles |
| Selinsgrove |
| Montevallo |
| Fairfield |
| Prescott |
| Houston |
| Appleton |
| Franklin |
| Murfreesboro |
| Rindge |
| Indiana |
| West Long Branch |
| Potsdam |
| Kalamazoo |
| Sioux Center |
| Cincinnati |
| Tifton |
| Aurora |
| Oakbrook Terrace |
| Wilkes Barre |
| Dalton |
| Williamsport |
| Arlington |
| Needham |
| Hawkins |
| Babson Park |
| Knoxville |
| Stanford |
| North Andover |
| Logan |
| Franklin Springs |
| Brevard |
| Itta Bena |
| Craftsbury Common |
| Albion |
| Manhattan |
| Newark |
| Silver Spring |
| Bethany |
| Tempe |
| Collegeville |
| Fort Collins |
| North Adams |
| St. Bonaventure |
| Ponce |
| Murray |
| Elsah |
| Washington |
| Union |
| Sumter |
| Santa Clara |
| Winona Lake |
| Old Lyme |
| East Stroudsburg |
| Dallas |
| Cullowhee |
| Sioux Falls |
| Plainview |
| Norman |
| Lawrence |
| Charlotte Amalie |
| Garden City |
| Normal |
| Birmingham |
| Buckhannon |
| Chestnut Hill |
| Ruston |
| Cresson |
| Laguna Beach |
| Bloomsburg |
| Marianna |
| Greensboro |
| Topeka |
| Detroit |
| Farmville |
| Searcy |
| Bronxville |
| Waterloo |
| Waltham |
| River Forest |
| Bristol |
| Merrimack |
| Berea |
| Midway |
| Miami Shores |
| Demorest |
| Poultney |
| Boulder |
| Cazenovia |
| Marylhurst |
| Lakewood |
| Beloit |
| Marietta |
| Carson City |
| Manitowoc |
| Stevenson |
| Fort Wayne |
| Indianapolis |
| Sterling |
| West Chester |
| Leesburg |
| Slippery Rock |
| Angwin |
| Roanoke |
| Westfield |
| Omaha |
| Emory |
| Johnson City |
| Defiance |
| Elizabethtown |
| Bemidji |
| Purchase |
| Bloomfield |
| Olivet |
| Winter Park |
| Cromwell |
| Carlinville |
| Miami |
| Point Lookout |
| Hillsboro |
| Boca Raton |
| Anchorage |
| Marion |
| Claremont |
| Livonia |
| Ferrum |
| San Diego |
| Helena |
| Middlebury |
| Las Vegas |
| Brunswick |
| Savannah |
| Montgomery |
| University Heights |
| Athens |
| Fairfax |
| Kings Point |
| Whiting |
| New Haven |
| Newport |
| Sunnyvale |
| Collegedale |
| Butte |
| Clemson |
| Glassboro |
| Winona |
| Ankeny |
| Waukesha |
| Williamsburg |
| Allentown |
| Seguin |
| Campbellsville |
| Claremore |
| Greeley |
| Hiram |
| Garland |
| Irving |
| Irvine |
| Colorado Springs |
| Denton |
| Utica |
| Mankato |
| Beverly |
| Bowie |
| Wichita Falls |
| Mount Vernon |
| Wheaton |
| Milligan College |
| Peoria |
| Memphis |
| Mission |
| Saint Peter |
| Ogden |
| Buzzards Bay |
| Yankton |
| Thibodaux |
| Kyle |
| Conception |
| Marshall |
| Lansing |
| Oskaloosa |
| La Plume |
| Unity |
| Americus |
| West Point |
| Rio Grande |
| Rohnert Park |
| Mansfield |
| York |
| Adrian |
| Winfield |
| Cleveland |
| Misenheimer |
| Radnor |
| Decatur |
| Aliso Viejo |
| West Paterson |
| Atlanta |
| Lima |
| Gettysburg |
| Alliance |
| Middletown |
| Schaumburg |
| Bronx |
| Fitchburg |
| Bethpage |
| Fullerton |
| Concord |
| Crawfordsville |
| McPherson |
| Wheeling |
| Danville |
| Saint Davids |
| Mangilao |
| South Orange |
| Manchester |
| Denmark |
| Huntingdon |
| Minot |
| Trenton |
| Milwaukee |
| Charleston |
| McAllen |
| Morehead |
| Greensburg |
| Aston |
| Parkville |
| Fayette |
| New Castle |
| Rock Hill |
| Bangor |
| Nampa |
| Terrell |
| Crestview Hills |
| Swannanoa |
| Syracuse |
| McKenzie |
| Kenosha |
| Daytona Beach |
| Albany |
| Danbury |
| Providence |
| Princeton |
| Bowling Green |
| California |
| Philippi |
| Brooklyn Heights |
| Wayne |
| Fresno |
| Beaumont |
| Alfred |
| Lawrenceville |
| Little Rock |
| Winchester |
| Bismarck |
| Norfolk |
| Waterville |
| Cape Girardeau |
| Quincy |
| Saint Benedict |
| Salem |
| Scranton |
| New Rochelle |
| Fremont |
| Ave Maria |
| Rochester Hills |
| Schenectady |
| USAF Academy |
| New Wilmington |
| St. Paul |
| Bridgewater |
| Sioux City |
| Cedar City |
| Burbank |
| Dix Hills |
| Castine |
| Durango |
| Arkadelphia |
| Montreat |
| Cypress |
| Notre Dame |
| Canton |
| Milton |
| Forest City |
| Henderson |
| Battle Creek |
| Cheyney |
| Biddeford |
| Oakland |
| Sault Ste Marie |
| Glenville |
| Rome |
| Mississippi State |
| Riverdale |
| Pippa Passes |
| Jacksonville |
| Buffalo |
| Cedar Falls |
| Flushing |
| Langston |
| Marquette |
| Baton Rouge |
| Mount Pleasant |
| Dekalb |
| Kirkland |
| Meadville |
| Columbia |
| Tiffin |
| Langhorne |
| St. Charles |
| Beaver Falls |
| Incline Village |
| Fulton |
| Vermillion |
| Bluefield |
| East Point |
| Valparaiso |
| Lynchburg |
| Muskogee |
| Thousand Oaks |
| Blue Mountain |
| Minneapolis |
| Youngstown |
| Davidson |
| Rocky Mount |
| La Grande |
| Wilkes-Barre |
| Lancaster |
| Boiling Springs |
| Centennial |
| Mount Olive |
| Waco |
| Palos Heights |
| Clarksville |
| Orono |
| Smithfield |
| Spring Arbor |
| Villanova |
| Fredericksburg |
| Buies Creek |
| Lincoln |
| Georgetown |
| Teaneck |
| Miami Gardens |
| Hyde Park |
| Ypsilanti |
| Delaware |
| Bellingham |
| Gainesville |
| Siloam Springs |
| Newton |
| Sarasota |
| Thomasville |
| Columbus |
| Barbourville |
| Ellensburg |
| Saint Bonifacius |
| Goodwell |
| Storm Lake |
| Lookout Mountain |
| Corvallis |
| Epworth |
| Muncie |
| Burlington |
| Harrisburg |
| Storrs |
| Sylvania |
| Port Angeles |
| La Mirada |
| Augusta |
| Lyndonville |
| Johnson |
| San Antonio |
| Batesville |
| Melrose Park |
| Caldwell |
| Wenham |
| Mobile |
| Wilberforce |
| Mishawaka |
| Lake Forest |
| Hamden |
| Oklahoma City |
| Dickinson |
| Aberdeen |
| Plainfield |
| Saint Paul |
| Tucson |
| Kenmore |
| Tyler |
| Southfield |
| Petersburg |
| Tuskegee |
| Hampden-Sydney |
| Deerfield |
| Pittsburgh |
| Saint Louis |
| Waleska |
| Marlboro |
| Alamosa |
| Lewisburg |
| Clinton |
| Maryville |
| Tulsa |
| Brookline |
| Valdosta |
| Powell |
| Rock Island |
| Cookeville |
| San Dimas |
| Tigerville |
| Huntsville |
| Dudley |
| Ann Arbor |
| Naperville |
| Russellville |
| Pasadena |
| Dayton |
| Hays |
| Vienna |
| San Marcos |
| San Juan |
| Fort Lauderdale |
| Wilson |
| Shawnee |
| Bremerton |
| Anderson |
| Urbana |
| Reading |
| Glenside |
| Talladega |
| Greencastle |
| Kerrville |
| Cedarville |
| Pikeville |
| Newberg |
| Issaquah |
| Cambridge |
| Mayville |
| Spokane |
| Lisle |
| Salisbury |
| Spearfish |
| Lewiston |
| Fort Pierce |
| Jefferson City |
| Bethlehem |
| Mayaguez |
| Immaculata |
| Chula Vista |
| Belton |
| Midland |
| Valley City |
| Walla Walla |
| Romeoville |
| Natchitoches |
| Nyack |
| Statesboro |
| Walnut Ridge |
| Arcata |
| Louisville |
| Hamburg |
| Chadron |
| Mitchell |
| Winston-Salem |
| Daphne |
| Davenport |
| Lock Haven |
| Rosemead |
| Elgin |
| West Liberty |
| Costa Mesa |
| Golden |
| Greeneville |
| Macomb |
| Des Moines |
| Norton |
| Lebanon |
| Henniker |
| Baltimore |
| Vincennes |
| Grand Junction |
| Lakeland |
| Forest Grove |
| Springfield |
| Philadelphia |
| Akron |
| Charlotte |
| Erie |
| El Rito |
| Millersville |
| Chambersburg |
| Big Rapids |
| Santa Paula |
| Abilene |
| College Place |
| Terre Haute |
| Saratoga Springs |
| Greenwood |
| Rochester |
| Downers Grove |
| Saint Petersburg |
| Malibu |
| Great Falls |
| Harrogate |
| Watertown |
| Kirksville |
| University Park |
| El Cajon |
| Shippensburg |
| Richmond |
| Newport News |
| Radford |
| Lamoni |
| Orange City |
| Durant |
| Kingston |
| Glen Cove |
| Liberty |
| Center Valley |
| Grove City |
| Shreveport |
| Las Cruces |
| Takoma Park |
| Bolivar |
| Phoenix |
| Northfield |
| Stillwater |
| Coral Gables |
| Kennesaw |
| Fayetteville |
| Longmeadow |
| Conway |
| Grand Forks |
| Alma |
| Hempstead |
| Olathe |
| Angola |
| Decorah |
| Longview |
| Gaffney |
| Hackettstown |
| Florence |
| Belmont |
| La Crosse |
| Fort Worth |
| New London |
| Orange |
| Staten Island |
| Yellow Springs |
| Boston |
| Tahlequah |
| Frederick |
| Macon |
| Rosemont |
| Haverford |
| Redding |
| Saint Mary's City |
| Spartanburg |
| Hampton |
| Medford |
| Hammond |
| Boise |
| Frankfort |
| Peru |
| Virginia Beach |
| Grand Rapids |
| Lagrange |
| Shepherdstown |
| Annville |
| South Hadley |
| Grambling |
| Loma Linda |
| Oneonta |
| East Lansing |
| Salt Lake City |
| St. Louis |
| San Angelo |
| University Center |
| Raleigh |
| Edmond |
| Clearwater |
| Pocatello |
| Waxahachie |
| East Greenwich |
| Whittier |
| San Rafael |
| New Albany |
| Elizabeth City |
| West Haven |
| Towson |
| Riverside |
| Sweet Briar |
| Newberry |
| Montclair |
| Annapolis |
| Hartsville |
| Pittsburg |
| North Manchester |
| Jackson Heights |
| Central |
| Randolph Center |
| Atherton |
| Grinnell |
| DeLand |
| Bridgeport |
| Joplin |
| Fort Valley |
| Redlands |
| Lawton |
| Green Bay |
| La Verne |
| Allendale |
| Eugene |
| Alcorn State |
| Baldwin City |
| Durham |
| Willimantic |
| Bryn Athyn |
| Huntington |
| Moon Township |
| Fort Myers |
| Harrisonburg |
| Tacoma |
| Due West |
| Oakland City |
| Atchison |
| Grayson |
| Hattiesburg |
| Sonora |
| Holland |
| Galesburg |
| Charlottesville |
| Chicago |
| New Concord |
| Swarthmore |
| Gambier |
| Bellevue |
| Keuka Park |
| Jersey City |
| Hartford |
| Owensboro |
| Scottsdale |
| Vallejo |
| Eureka |
| Valencia |
| Stockton |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case12", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case12", "case": "Case12", "label": [["AIB College of Business", "Des Moines"], ["Abilene Christian University", "Abilene"], ["Abraham Baldwin Agricultural College", "Tifton"], ["Academy of Art University", "San Francisco"], ["Adams State University", "Alamosa"], ["Adelphi University", "Garden City"], ["Adrian College", "Adrian"], ["Adventist University of Health Sciences", "Orlando"], ["Agnes Scott College", "Decatur"], ["Alabama State University", "Montgomery"], ["Alaska Pacific University", "Anchorage"], ["Albany State University", "Albany"], ["Albertus Magnus College", "New Haven"], ["Albion College", "Albion"], ["Albright College", "Reading"], ["Alcorn State University", "Alcorn State"], ["Alderson Broaddus University", "Philippi"], ["Alfred University", "Alfred"], ["Alice Lloyd College", "Pippa Passes"], ["Allegheny College", "Meadville"], ["Allen College", "Waterloo"], ["Allen University", "Columbia"], ["Alliant International University", "San Diego"], ["Alma College", "Alma"], ["Alverno College", "Milwaukee"], ["Amberton University", "Garland"], ["American Academy of Art", "Chicago"], ["American Indian College of the Assemblies of God", "Phoenix"], ["American InterContinental University", "Schaumburg"], ["American International College", "Springfield"], ["American Jewish University", "Los Angeles"], ["American Public University System", "Charles Town"], ["American University of Puerto Rico", "Bayamon"], ["American University", "Washington"], ["Amherst College", "Amherst"], ["Amridge University", "Montgomery"], ["Anderson University", "Anderson"], ["Anderson University", "Anderson"], ["Andrews University", "Berrien Springs"], ["Angelo State University", "San Angelo"], ["Anna Maria College", "Paxton"], ["Antioch University", "Yellow Springs"], ["Appalachian Bible College", "Mt. Hope"], ["Appalachian State University", "Boone"], ["Aquinas College", "Grand Rapids"], ["Aquinas College", "Nashville"], ["Arcadia University", "Glenside"], ["Arizona Christian University", "Phoenix"], ["Arizona State University", "Tempe"], ["Arkansas Baptist College", "Little Rock"], ["Arkansas State University", "State University"], ["Arkansas Tech University", "Russellville"], ["Armstrong Atlantic State University", "Savannah"], ["Art Academy of Cincinnati", "Cincinnati"], ["Art Center College of Design", "Pasadena"], ["Asbury University", "Wilmore"], ["Ashford University", "Clinton"], ["Ashland University", "Ashland"], ["Assumption College", "Worcester"], ["Athens State University", "Athens"], ["Augsburg College", "Minneapolis"], ["Augustana College", "Sioux Falls"], ["Augustana College", "Rock Island"], ["Aurora University", "Aurora"], ["Austin College", "Sherman"], ["Austin Peay State University", "Clarksville"], ["Ave Maria University", "Ave Maria"], ["Averett University", "Danville"], ["Avila University", "Kansas City"], ["Azusa Pacific University", "Azusa"], ["Babson College", "Wellesley"], ["Bacone College", "Muskogee"], ["Baker University", "Baldwin City"], ["Ball State University", "Muncie"], ["Baptist Bible College", "Springfield"], ["Baptist Memorial College of Health Sciences", "Memphis"], ["Baptist Missionary Association Theological Seminary", "Jacksonville"], ["Bard College", "Annandale-On-Hudson"], ["Barnard College", "New York"], ["Barry University", "Miami Shores"], ["Barton College", "Wilson"], ["Bastyr University", "Kenmore"], ["Bates College", "Lewiston"], ["Bauder College", "Atlanta"], ["Bay Path College", "Longmeadow"], ["Bayamon Central University", "Bayamon"], ["Baylor University", "Waco"], ["Beacon College", "Leesburg"], ["Becker College", "Worcester"], ["Belhaven University", "Jackson"], ["Bellarmine University", "Louisville"], ["Bellevue College", "Bellevue"], ["Bellevue University", "Bellevue"], ["Bellin College", "Green Bay"], ["Belmont Abbey College", "Belmont"], ["Belmont University", "Nashville"], ["Beloit College", "Beloit"], ["Bemidji State University", "Bemidji"], ["Benedict College", "Columbia"], ["Benedictine College", "Atchison"], ["Benedictine University", "Lisle"], ["Benjamin Franklin Institute of Technology", "Boston"], ["Bennington College", "Bennington"], ["Bentley University", "Waltham"], ["Berea College", "Berea"], ["Berkeley College", "New York"], ["Berkeley College", "West Paterson"], ["Berklee College of Music", "Boston"], ["Berry College", "Mount Berry"], ["Bethany College", "Lindsborg"], ["Bethany College", "Bethany"], ["Bethany Lutheran College", "Mankato"], ["Bethel College", "Mishawaka"], ["Bethel College", "Hampton"], ["Bethel College", "North Newton"], ["Bethel University", "McKenzie"], ["Bethel University", "St. Paul"], ["Biola University", "La Mirada"], ["Bismarck State College", "Bismarck"], ["Black Hills State University", "Spearfish"], ["Blackburn College", "Carlinville"], ["Blessing-Rieman College of Nursing", "Quincy"], ["Bloomfield College", "Bloomfield"], ["Bloomsburg University of Pennsylvania", "Bloomsburg"], ["Blue Mountain College", "Blue Mountain"], ["Bluefield College", "Bluefield"], ["Bluefield State College", "Bluefield"], ["Bluffton University", "Bluffton"], ["Boise State University", "Boise"], ["Boricua College", "New York"], ["Boston College", "Chestnut Hill"], ["Boston University", "Boston"], ["Bowdoin College", "Brunswick"], ["Bowie State University", "Bowie"], ["Bowling Green State University", "Bowling Green"], ["Bradley University", "Peoria"], ["Brandeis University", "Waltham"], ["Brandman University", "Irvine"], ["Brazosport College", "Lake Jackson"], ["Brenau University", "Gainesville"], ["Brescia University", "Owensboro"], ["Brevard College", "Brevard"], ["Brewton-Parker College", "Mount Vernon"], ["Briar Cliff University", "Sioux City"], ["Briarcliffe College", "Bethpage"], ["Bridgewater College", "Bridgewater"], ["Bridgewater State University", "Bridgewater"], ["Brown University", "Providence"], ["Bryan College", "Gold River"], ["Bryan College", "Dayton"], ["Bryant University", "Smithfield"], ["Bryn Athyn College of the New Church", "Bryn Athyn"], ["Bryn Mawr College", "Bryn Mawr"], ["Bucknell University", "Lewisburg"], ["Buena Vista University", "Storm Lake"], ["Burlington College", "Burlington"], ["Butler University", "Indianapolis"], ["Cabarrus College of Health Sciences", "Concord"], ["Cabrini College", "Radnor"], ["Cairn University", "Langhorne"], ["Caldwell College", "Caldwell"], ["California Baptist University", "Riverside"], ["California College of the Arts", "Oakland"], ["California Institute of Integral Studies", "San Francisco"], ["California Institute of Technology", "Pasadena"], ["California Institute of the Arts", "Valencia"], ["California Lutheran University", "Thousand Oaks"], ["California Maritime Academy", "Vallejo"], ["California University of Pennsylvania", "California"], ["Calumet College of St. Joseph", "Whiting"], ["Calvary Bible College and Theological Seminary", "Kansas City"], ["Calvin College", "Grand Rapids"], ["Cambridge College", "Cambridge"], ["Cameron University", "Lawton"], ["Campbell University", "Buies Creek"], ["Campbellsville University", "Campbellsville"], ["Canisius College", "Buffalo"], ["Capella University", "Minneapolis"], ["Capital University", "Columbus"], ["Capitol College", "Laurel"], ["Cardinal Stritch University", "Milwaukee"], ["Carleton College", "Northfield"], ["Carlos Albizu University", "San Juan"], ["Carlow University", "Pittsburgh"], ["Carnegie Mellon University", "Pittsburgh"], ["Carroll College", "Helena"], ["Carroll University", "Waukesha"], ["Carson-Newman University", "Jefferson City"], ["Carthage College", "Kenosha"], ["Case Western Reserve University", "Cleveland"], ["Castleton State College", "Castleton"], ["Catawba College", "Salisbury"], ["Cazenovia College", "Cazenovia"], ["Cedar Crest College", "Allentown"], ["Cedarville University", "Cedarville"], ["Centenary College of Louisiana", "Shreveport"], ["Centenary College", "Hackettstown"], ["Central Baptist College", "Conway"], ["Central Bible College", "Springfield"], ["Central College", "Pella"], ["Central Connecticut State University", "New Britain"], ["Central Methodist University", "Fayette"], ["Central Michigan University", "Mount Pleasant"], ["Central Penn College", "Summerdale"], ["Central State University", "Wilberforce"], ["Central Washington University", "Ellensburg"], ["Centre College", "Danville"], ["Chadron State College", "Chadron"], ["Chamberlain College of Nursing", "Downers Grove"], ["Chaminade University of Honolulu", "Honolulu"], ["Champlain College", "Burlington"], ["Chancellor University", "Seven Hills"], ["Chapman University", "Orange"], ["Charleston Southern University", "Charleston"], ["Charter Oak State College", "New Britain"], ["Chatham University", "Pittsburgh"], ["Chestnut Hill College", "Philadelphia"], ["Cheyney University of Pennsylvania", "Cheyney"], ["Chicago State University", "Chicago"], ["Chipola College", "Marianna"], ["Chowan University", "Murfreesboro"], ["Christendom College", "Front Royal"], ["Christian Brothers University", "Memphis"], ["Christopher Newport University", "Newport News"], ["Cincinnati Christian University", "Cincinnati"], ["Cincinnati College of Mortuary Science", "Cincinnati"], ["City University of Seattle", "Bellevue"], ["Claflin University", "Orangeburg"], ["Claremont McKenna College", "Claremont"], ["Clarion University of Pennsylvania", "Clarion"], ["Clark Atlanta University", "Atlanta"], ["Clark University", "Worcester"], ["Clarke University", "Dubuque"], ["Clarkson College", "Omaha"], ["Clarkson University", "Potsdam"], ["Clear Creek Baptist Bible College", "Pineville"], ["Clearwater Christian College", "Clearwater"], ["Cleary University", "Ann Arbor"], ["Clemson University", "Clemson"], ["Cleveland Institute of Art", "Cleveland"], ["Cleveland Institute of Music", "Cleveland"], ["Cleveland State University", "Cleveland"], ["Coastal Carolina University", "Conway"], ["Coe College", "Cedar Rapids"], ["Cogswell Polytechnical College", "Sunnyvale"], ["Coker College", "Hartsville"], ["Colby College", "Waterville"], ["Colby-Sawyer College", "New London"], ["Colgate University", "Hamilton"], ["College for Creative Studies", "Detroit"], ["College of Charleston", "Charleston"], ["College of Idaho", "Caldwell"], ["College of Mount St. Joseph", "Cincinnati"], ["College of Our Lady of the Elms", "Chicopee"], ["College of Southern Nevada", "Las Vegas"], ["College of William and Mary", "Williamsburg"], ["College of the Atlantic", "Bar Harbor"], ["College of the Holy Cross", "Worcester"], ["College of the Ozarks", "Point Lookout"], ["Colorado Christian University", "Lakewood"], ["Colorado College", "Colorado Springs"], ["Colorado Mesa University", "Grand Junction"], ["Colorado School of Mines", "Golden"], ["Colorado State University", "Fort Collins"], ["Colorado Technical University", "Colorado Springs"], ["Columbia College Chicago", "Chicago"], ["Columbia College of Nursing", "Milwaukee"], ["Columbia College", "Columbia"], ["Columbia College", "Sonora"], ["Columbia College", "Columbia"], ["Columbia College", "Fairfax"], ["Columbia International University", "Columbia"], ["Columbus College of Art and Design", "Columbus"], ["Columbus State University", "Columbus"], ["Conception Seminary College", "Conception"], ["Concord University", "Athens"], ["Concordia College", "Bronxville"], ["Concordia College", "Moorhead"], ["Concordia University Chicago", "River Forest"], ["Concordia University Wisconsin", "Mequon"], ["Concordia University", "Irvine"], ["Concordia University", "Portland"], ["Concordia University", "Ann Arbor"], ["Concordia University", "Seward"], ["Connecticut College", "New London"], ["Converse College", "Spartanburg"], ["Coppin State University", "Baltimore"], ["Corban University", "Salem"], ["Corcoran College of Art and Design", "Washington"], ["Cornell College", "Mount Vernon"], ["Cornell University", "Ithaca"], ["Cornerstone University", "Grand Rapids"], ["Cornish College of the Arts", "Seattle"], ["Covenant College", "Lookout Mountain"], ["Cox College", "Springfield"], ["Creighton University", "Omaha"], ["Crown College", "Powell"], ["Crown College", "Saint Bonifacius"], ["Crown College", "Tacoma"], ["Culinary Institute of America", "Hyde Park"], ["Culver-Stockton College", "Canton"], ["Cumberland University", "Lebanon"], ["Curry College", "Milton"], ["Curtis Institute of Music", "Philadelphia"], ["D'Youville College", "Buffalo"], ["Daemen College", "Amherst"], ["Dakota State University", "Madison"], ["Dakota Wesleyan University", "Mitchell"], ["Dallas Baptist University", "Dallas"], ["Dallas Christian College", "Dallas"], ["Dalton State College", "Dalton"], ["Daniel Webster College", "Nashua"], ["Dartmouth College", "Hanover"], ["Davenport University", "Grand Rapids"], ["Davidson College", "Davidson"], ["Davis College", "Johnson City"], ["Davis College", "Toledo"], ["Daytona State College", "Daytona Beach"], ["DePaul University", "Chicago"], ["DePauw University", "Greencastle"], ["DeSales University", "Center Valley"], ["DeVry University", "Oakbrook Terrace"], ["Dean College", "Franklin"], ["Defiance College", "Defiance"], ["Delaware State University", "Dover"], ["Delaware Valley College", "Doylestown"], ["Delta State University", "Cleveland"], ["Denison University", "Granville"], ["Dickinson College", "Carlisle"], ["Dickinson State University", "Dickinson"], ["Dillard University", "New Orleans"], ["Divine Word College", "Epworth"], ["Dixie State College of Utah", "Saint George"], ["Doane College", "Crete"], ["Dominican University of California", "San Rafael"], ["Dominican University", "River Forest"], ["Donnelly College", "Kansas City"], ["Dordt College", "Sioux Center"], ["Dowling College", "Oakdale"], ["Drake University", "Des Moines"], ["Drew University", "Madison"], ["Drexel University", "Philadelphia"], ["Drury University", "Springfield"], ["Duke University", "Durham"], ["Dunwoody College of Technology", "Minneapolis"], ["Dunwoody College of Technology", "Minneapolis"], ["Duquesne University", "Pittsburgh"], ["ECPI University", "Virginia Beach"], ["Earlham College", "Richmond"], ["East Carolina University", "Greenville"], ["East Central University", "Ada"], ["East Stroudsburg University of Pennsylvania", "East Stroudsburg"], ["East Tennessee State University", "Johnson City"], ["East Texas Baptist University", "Marshall"], ["East-West University", "Chicago"], ["Eastern Connecticut State University", "Willimantic"], ["Eastern Illinois University", "Charleston"], ["Eastern Kentucky University", "Richmond"], ["Eastern Mennonite University", "Harrisonburg"], ["Eastern Michigan University", "Ypsilanti"], ["Eastern Nazarene College", "Quincy"], ["Eastern New Mexico University", "Portales"], ["Eastern Oregon University", "La Grande"], ["Eastern University", "Saint Davids"], ["Eastern Washington University", "Cheney"], ["Eckerd College", "Saint Petersburg"], ["Edgewood College", "Madison"], ["Edinboro University of Pennsylvania", "Edinboro"], ["Edison State College", "Fort Myers"], ["Edward Waters College", "Jacksonville"], ["Elizabeth City State University", "Elizabeth City"], ["Elizabethtown College", "Elizabethtown"], ["Elmhurst College", "Elmhurst"], ["Elmira College", "Elmira"], ["Elon University", "Elon"], ["Emerson College", "Boston"], ["Emmanuel College", "Franklin Springs"], ["Emmanuel College", "Boston"], ["Emmaus Bible College", "Dubuque"], ["Emory University", "Atlanta"], ["Emory and Henry College", "Emory"], ["Emporia State University", "Emporia"], ["Endicott College", "Beverly"], ["Erskine College", "Due West"], ["Escuela de Artes Plasticas de Puerto Rico", "San Juan"], ["Eureka College", "Eureka"], ["Evangel University", "Springfield"], ["Everglades University", "Boca Raton"], ["Excelsior College", "Albany"], ["Fairfield University", "Fairfield"], ["Fairleigh Dickinson University", "Teaneck"], ["Fairmont State University", "Fairmont"], ["Faith Baptist Bible College and Theological Seminary", "Ankeny"], ["Fashion Institute of Technology", "New York"], ["Faulkner University", "Montgomery"], ["Fayetteville State University", "Fayetteville"], ["Felician College", "Lodi"], ["Ferris State University", "Big Rapids"], ["Ferrum College", "Ferrum"], ["Finlandia University", "Hancock"], ["Fisher College", "Boston"], ["Fisk University", "Nashville"], ["Fitchburg State University", "Fitchburg"], ["Five Towns College", "Dix Hills"], ["Flagler College", "Saint Augustine"], ["Florida Atlantic University", "Boca Raton"], ["Florida Christian College", "Kissimmee"], ["Florida College", "Temple Terrace"], ["Florida Gulf Coast University", "Fort Myers"], ["Florida International University", "Miami"], ["Florida Memorial University", "Miami Gardens"], ["Florida Southern College", "Lakeland"], ["Florida State University", "Tallahassee"], ["Fontbonne University", "St. Louis"], ["Fordham University", "Bronx"], ["Fort Hays State University", "Hays"], ["Fort Lewis College", "Durango"], ["Fort Valley State University", "Fort Valley"], ["Framingham State University", "Framingham"], ["Francis Marion University", "Florence"], ["Franciscan University of Steubenville", "Steubenville"], ["Frank Lloyd Wright School of Architecture", "Scottsdale"], ["Franklin College", "Franklin"], ["Franklin Pierce University", "Rindge"], ["Franklin University", "Columbus"], ["Franklin W. Olin College of Engineering", "Needham"], ["Franklin and Marshall College", "Lancaster"], ["Freed-Hardeman University", "Henderson"], ["Fresno Pacific University", "Fresno"], ["Friends University", "Wichita"], ["Frostburg State University", "Frostburg"], ["Furman University", "Greenville"], ["Gallaudet University", "Washington"], ["Gannon University", "Erie"], ["Gardner-Webb University", "Boiling Springs"], ["Geneva College", "Beaver Falls"], ["George Fox University", "Newberg"], ["George Mason University", "Fairfax"], ["George Washington University", "Washington"], ["Georgetown College", "Georgetown"], ["Georgetown University", "Washington"], ["Georgia Gwinnett College", "Lawrenceville"], ["Georgia Regents University", "Augusta"], ["Georgia Southern University", "Statesboro"], ["Georgia Southwestern State University", "Americus"], ["Georgia State University", "Atlanta"], ["Georgian Court University", "Lakewood"], ["Gettysburg College", "Gettysburg"], ["Glenville State College", "Glenville"], ["God's Bible School and College", "Cincinnati"], ["Goddard College", "Plainfield"], ["Goldey-Beacom College", "Wilmington"], ["Goldfarb School of Nursing at Barnes-Jewish College", "St. Louis"], ["Gonzaga University", "Spokane"], ["Gordon College", "Wenham"], ["Gordon State College", "Barnesville"], ["Goshen College", "Goshen"], ["Goucher College", "Baltimore"], ["Governors State University", "University Park"], ["Grace Bible College", "Grand Rapids"], ["Grace College and Seminary", "Winona Lake"], ["Grace University", "Omaha"], ["Graceland University", "Lamoni"], ["Grambling State University", "Grambling"], ["Grand Canyon University", "Phoenix"], ["Grand Valley State University", "Allendale"], ["Grand View University", "Des Moines"], ["Granite State College", "Concord"], ["Gratz College", "Melrose Park"], ["Great Basin College", "Elko"], ["Great Lakes Christian College", "Lansing"], ["Green Mountain College", "Poultney"], ["Greensboro College", "Greensboro"], ["Greenville College", "Greenville"], ["Grinnell College", "Grinnell"], ["Grove City College", "Grove City"], ["Guilford College", "Greensboro"], ["Gustavus Adolphus College", "Saint Peter"], ["Hamilton College", "Clinton"], ["Hamline University", "Saint Paul"], ["Hampden-Sydney College", "Hampden-Sydney"], ["Hampshire College", "Amherst"], ["Hampton University", "Hampton"], ["Hanover College", "Hanover"], ["Hardin-Simmons University", "Abilene"], ["Harding University", "Searcy"], ["Harrington College of Design", "Chicago"], ["Harris-Stowe State University", "St. Louis"], ["Harrisburg University of Science and Technology", "Harrisburg"], ["Hartwick College", "Oneonta"], ["Harvard University", "Cambridge"], ["Harvey Mudd College", "Claremont"], ["Haskell Indian Nations University", "Lawrence"], ["Hastings College", "Hastings"], ["Haverford College", "Haverford"], ["Hawaii Pacific University", "Honolulu"], ["Hebrew Theological College", "Skokie"], ["Heidelberg University", "Tiffin"], ["Hellenic College", "Brookline"], ["Henderson State University", "Arkadelphia"], ["Hendrix College", "Conway"], ["Heritage University", "Toppenish"], ["Herzing University", "Milwaukee"], ["High Point University", "High Point"], ["Hilbert College", "Hamburg"], ["Hillsdale College", "Hillsdale"], ["Hiram College", "Hiram"], ["Hodges University", "Naples"], ["Hofstra University", "Hempstead"], ["Hollins University", "Roanoke"], ["Holy Apostles College and Seminary", "Cromwell"], ["Holy Cross College", "Notre Dame"], ["Holy Family University", "Philadelphia"], ["Holy Names University", "Oakland"], ["Hood College", "Frederick"], ["Hope College", "Holland"], ["Hope International University", "Fullerton"], ["Houghton College", "Houghton"], ["Houston Baptist University", "Houston"], ["Howard Payne University", "Brownwood"], ["Howard University", "Washington"], ["Hult International Business School", "Cambridge"], ["Humboldt State University", "Arcata"], ["Huntingdon College", "Montgomery"], ["Huntington University", "Huntington"], ["Husson University", "Bangor"], ["Huston-Tillotson University", "Austin"], ["Idaho State University", "Pocatello"], ["Illinois College", "Jacksonville"], ["Illinois Institute of Technology", "Chicago"], ["Illinois State University", "Normal"], ["Illinois Wesleyan University", "Bloomington"], ["Immaculata University", "Immaculata"], ["Indian River State College", "Fort Pierce"], ["Indiana Institute of Technology", "Fort Wayne"], ["Indiana State University", "Terre Haute"], ["Indiana University East", "Richmond"], ["Indiana University Northwest", "Gary"], ["Indiana University Southeast", "New Albany"], ["Indiana University of Pennsylvania", "Indiana"], ["Indiana Wesleyan University", "Marion"], ["Institute of American Indian and Alaska Native Culture and Arts Development", "Santa Fe"], ["Iona College", "New Rochelle"], ["Iowa State University", "Ames"], ["Iowa Wesleyan College", "Mount Pleasant"], ["Ithaca College", "Ithaca"], ["Jackson State University", "Jackson"], ["Jacksonville State University", "Jacksonville"], ["Jacksonville University", "Jacksonville"], ["James Madison University", "Harrisonburg"], ["Jarvis Christian College", "Hawkins"], ["Jewish Theological Seminary of America", "New York"], ["John Brown University", "Siloam Springs"], ["John Carroll University", "University Heights"], ["Johns Hopkins University", "Baltimore"], ["Johnson & Wales University", "Providence"], ["Johnson State College", "Johnson"], ["Johnson University", "Knoxville"], ["Jones International University", "Centennial"], ["Judson College", "Marion"], ["Judson University", "Elgin"], ["Juniata College", "Huntingdon"], ["Kalamazoo College", "Kalamazoo"], ["Kansas City Art Institute", "Kansas City"], ["Kansas State University", "Manhattan"], ["Kansas Wesleyan University", "Salina"], ["Kaplan University", "Davenport"], ["Kean University", "Union"], ["Keene State College", "Keene"], ["Keiser University", "Fort Lauderdale"], ["Kendall College", "Chicago"], ["Kennesaw State University", "Kennesaw"], ["Kent State University", "Kent"], ["Kentucky Christian University", "Grayson"], ["Kentucky State University", "Frankfort"], ["Kentucky Wesleyan College", "Owensboro"], ["Kenyon College", "Gambier"], ["Kettering University", "Flint"], ["Keuka College", "Keuka Park"], ["Keystone College", "La Plume"], ["King University", "Bristol"], ["King's College", "Wilkes Barre"], ["King's College", "Charlotte"], ["Knox College", "Galesburg"], ["Kutztown University of Pennsylvania", "Kutztown"], ["Kuyper College", "Grand Rapids"], ["LIM College", "New York"], ["La Roche College", "Pittsburgh"], ["La Salle University", "Philadelphia"], ["La Sierra University", "Riverside"], ["LaGrange College", "Lagrange"], ["Lafayette College", "Easton"], ["Laguna College of Art and Design", "Laguna Beach"], ["Lake Erie College", "Painesville"], ["Lake Forest College", "Lake Forest"], ["Lake Superior State University", "Sault Ste Marie"], ["Lakeland College", "Plymouth"], ["Lakeview College of Nursing", "Danville"], ["Lamar University", "Beaumont"], ["Lancaster Bible College", "Lancaster"], ["Lander University", "Greenwood"], ["Lane College", "Jackson"], ["Langston University", "Langston"], ["Lasell College", "Newton"], ["Lawrence Technological University", "Southfield"], ["Lawrence University", "Appleton"], ["Le Moyne College", "Syracuse"], ["LeMoyne-Owen College", "Memphis"], ["LeTourneau University", "Longview"], ["Lebanon Valley College", "Annville"], ["Lee University", "Cleveland"], ["Lees-McRae College", "Banner Elk"], ["Lehigh University", "Bethlehem"], ["Lesley University", "Cambridge"], ["Lewis & Clark College", "Portland"], ["Lewis University", "Romeoville"], ["Lewis-Clark State College", "Lewiston"], ["Lexington College", "Chicago"], ["Liberty University", "Lynchburg"], ["Life Pacific College", "San Dimas"], ["Life University", "Marietta"], ["Limestone College", "Gaffney"], ["Lincoln Christian University", "Lincoln"], ["Lincoln College", "Lincoln"], ["Lincoln Memorial University", "Harrogate"], ["Lincoln University", "Oakland"], ["Lincoln University", "Jefferson City"], ["Lindenwood University", "St. Charles"], ["Lindsey Wilson College", "Columbia"], ["Linfield College", "McMinnville"], ["Lipscomb University", "Nashville"], ["Livingstone College", "Salisbury"], ["Lock Haven University of Pennsylvania", "Lock Haven"], ["Loma Linda University", "Loma Linda"], ["Longwood University", "Farmville"], ["Loras College", "Dubuque"], ["Louisiana College", "Pineville"], ["Louisiana Tech University", "Ruston"], ["Lourdes University", "Sylvania"], ["Loyola Marymount University", "Los Angeles"], ["Loyola University Maryland", "Baltimore"], ["Loyola University New Orleans", "New Orleans"], ["Lubbock Christian University", "Lubbock"], ["Luther College", "Decorah"], ["Lycoming College", "Williamsport"], ["Lyme Academy College of Fine Arts", "Old Lyme"], ["Lynchburg College", "Lynchburg"], ["Lyndon State College", "Lyndonville"], ["Lynn University", "Boca Raton"], ["Lyon College", "Batesville"], ["MacMurray College", "Jacksonville"], ["Macalester College", "St. Paul"], ["Madonna University", "Livonia"], ["Maharishi University of Management", "Fairfield"], ["Maine College of Art", "Portland"], ["Maine Maritime Academy", "Castine"], ["Malone University", "Canton"], ["Manchester University", "North Manchester"], ["Manhattan Christian College", "Manhattan"], ["Manhattan College", "Riverdale"], ["Manhattan School of Music", "New York"], ["Manhattanville College", "Purchase"], ["Mansfield University of Pennsylvania", "Mansfield"], ["Maranatha Baptist Bible College", "Watertown"], ["Marian University", "Indianapolis"], ["Marian University", "Fond du Lac"], ["Marietta College", "Marietta"], ["Marist College", "Poughkeepsie"], ["Marlboro College", "Marlboro"], ["Marquette University", "Milwaukee"], ["Mars Hill University", "Mars Hill"], ["Marshall University", "Huntington"], ["Martin Luther College", "New Ulm"], ["Martin Methodist College", "Pulaski"], ["Martin University", "Indianapolis"], ["Mary Baldwin College", "Staunton"], ["Marygrove College", "Detroit"], ["Maryland Institute College of Art", "Baltimore"], ["Marylhurst University", "Marylhurst"], ["Marymount Manhattan College", "New York"], ["Marymount University", "Arlington"], ["Maryville College", "Maryville"], ["Marywood University", "Scranton"], ["Massachusetts College of Art and Design", "Boston"], ["Massachusetts College of Liberal Arts", "North Adams"], ["Massachusetts Institute of Technology", "Cambridge"], ["Massachusetts Maritime Academy", "Buzzards Bay"], ["Mayville State University", "Mayville"], ["McDaniel College", "Westminster"], ["McKendree University", "Lebanon"], ["McMurry University", "Abilene"], ["McNeese State University", "Lake Charles"], ["McPherson College", "McPherson"], ["Medaille College", "Buffalo"], ["Medical University of South Carolina", "Charleston"], ["Memphis College of Art", "Memphis"], ["Menlo College", "Atherton"], ["Mercer University", "Macon"], ["Mercy College of Health Sciences", "Des Moines"], ["Meredith College", "Raleigh"], ["Merrimack College", "North Andover"], ["Messiah College", "Grantham"], ["Metropolitan College of New York", "New York"], ["Metropolitan State University of Denver", "Denver"], ["Metropolitan State University", "Saint Paul"], ["Miami Dade College", "Miami"], ["Michigan State University", "East Lansing"], ["Michigan Technological University", "Houghton"], ["Mid-America Christian University", "Oklahoma City"], ["Mid-Atlantic Christian University", "Elizabeth City"], ["Mid-Continent University", "Mayfield"], ["MidAmerica Nazarene University", "Olathe"], ["Middle Tennessee State University", "Murfreesboro"], ["Middlebury College", "Middlebury"], ["Midland College", "Midland"], ["Midland University", "Fremont"], ["Midstate College", "Peoria"], ["Midway College", "Midway"], ["Midwestern State University", "Wichita Falls"], ["Miles College", "Fairfield"], ["Millersville University of Pennsylvania", "Millersville"], ["Milligan College", "Milligan College"], ["Millikin University", "Decatur"], ["Mills College", "Oakland"], ["Millsaps College", "Jackson"], ["Milwaukee School of Engineering", "Milwaukee"], ["Minneapolis College of Art and Design", "Minneapolis"], ["Minot State University", "Minot"], ["Misericordia University", "Dallas"], ["Mississippi College", "Clinton"], ["Mississippi State University", "Mississippi State"], ["Mississippi University for Women", "Columbus"], ["Mississippi Valley State University", "Itta Bena"], ["Missouri Baptist University", "Saint Louis"], ["Missouri Southern State University", "Joplin"], ["Missouri State University", "Springfield"], ["Missouri Valley College", "Marshall"], ["Missouri Western State University", "Saint Joseph"], ["Mitchell College", "New London"], ["Molloy College", "Rockville Centre"], ["Monmouth College", "Monmouth"], ["Monmouth University", "West Long Branch"], ["Monroe College", "Bronx"], ["Montana Tech of the University of Montana", "Butte"], ["Montclair State University", "Montclair"], ["Montreat College", "Montreat"], ["Montserrat College of Art", "Beverly"], ["Moody Bible Institute", "Chicago"], ["Moravian College", "Bethlehem"], ["Morehead State University", "Morehead"], ["Morehouse College", "Atlanta"], ["Morgan State University", "Baltimore"], ["Morningside College", "Sioux City"], ["Morris College", "Sumter"], ["Mount Aloysius College", "Cresson"], ["Mount Angel Seminary", "Saint Benedict"], ["Mount Carmel College of Nursing", "Columbus"], ["Mount Holyoke College", "South Hadley"], ["Mount Ida College", "Newton"], ["Mount Marty College", "Yankton"], ["Mount Mary University", "Milwaukee"], ["Mount Mercy University", "Cedar Rapids"], ["Mount Olive College", "Mount Olive"], ["Mount St. Mary's College", "Los Angeles"], ["Mount Vernon Nazarene University", "Mount Vernon"], ["Muhlenberg College", "Allentown"], ["Multnomah University", "Portland"], ["Murray State University", "Murray"], ["Muskingum University", "New Concord"], ["Naropa University", "Boulder"], ["National Graduate School of Quality Management", "Falmouth"], ["National Labor College", "Silver Spring"], ["National University", "La Jolla"], ["Nazarene Bible College", "Colorado Springs"], ["Nebraska Wesleyan University", "Lincoln"], ["Neumann University", "Aston"], ["New College of Florida", "Sarasota"], ["New England College", "Henniker"], ["New England Institute of Technology", "East Greenwich"], ["New Jersey City University", "Jersey City"], ["New Jersey Institute of Technology", "Newark"], ["New Mexico Highlands University", "Las Vegas"], ["New Mexico Institute of Mining and Technology", "Socorro"], ["New Mexico State University", "Las Cruces"], ["New Orleans Baptist Theological Seminary", "New Orleans"], ["New York University", "New York"], ["Newberry College", "Newberry"], ["Newman University", "Wichita"], ["Niagara University", "Niagara University"], ["Nicholls State University", "Thibodaux"], ["Nichols College", "Dudley"], ["Norfolk State University", "Norfolk"], ["North Carolina Central University", "Durham"], ["North Carolina Wesleyan College", "Rocky Mount"], ["North Central College", "Naperville"], ["North Central University", "Minneapolis"], ["North Greenville University", "Tigerville"], ["North Park University", "Chicago"], ["Northcentral University", "Prescott"], ["Northeastern Illinois University", "Chicago"], ["Northeastern State University", "Tahlequah"], ["Northeastern University", "Boston"], ["Northern Arizona University", "Flagstaff"], ["Northern Illinois University", "Dekalb"], ["Northern Kentucky University", "Highland Heights"], ["Northern Michigan University", "Marquette"], ["Northern New Mexico College", "El Rito"], ["Northern State University", "Aberdeen"], ["Northland College", "Ashland"], ["Northwest Christian University", "Eugene"], ["Northwest Missouri State University", "Maryville"], ["Northwest Nazarene University", "Nampa"], ["Northwest University", "Kirkland"], ["Northwestern College", "Orange City"], ["Northwestern Health Sciences University", "Bloomington"], ["Northwestern Oklahoma State University", "Alva"], ["Northwestern State University of Louisiana", "Natchitoches"], ["Northwestern University", "Evanston"], ["Northwood University", "Midland"], ["Norwich University", "Northfield"], ["Notre Dame de Namur University", "Belmont"], ["Notre Dame of Maryland University", "Baltimore"], ["Nova Southeastern University", "Fort Lauderdale"], ["Nyack College", "Nyack"], ["Oakland City University", "Oakland City"], ["Oakland University", "Rochester"], ["Oakwood University", "Huntsville"], ["Oberlin College", "Oberlin"], ["Occidental College", "Los Angeles"], ["Oglala Lakota College", "Kyle"], ["Oglethorpe University", "Atlanta"], ["Ohio Christian University", "Circleville"], ["Ohio Dominican University", "Columbus"], ["Ohio Northern University", "Ada"], ["Ohio Valley University", "Vienna"], ["Ohio Wesleyan University", "Delaware"], ["Oklahoma Baptist University", "Shawnee"], ["Oklahoma Christian University", "Oklahoma City"], ["Oklahoma City University", "Oklahoma City"], ["Oklahoma Panhandle State University", "Goodwell"], ["Oklahoma State University", "Stillwater"], ["Oklahoma Wesleyan University", "Bartlesville"], ["Old Dominion University", "Norfolk"], ["Olivet College", "Olivet"], ["Olivet Nazarene University", "Bourbonnais"], ["Olympic College", "Bremerton"], ["Oral Roberts University", "Tulsa"], ["Oregon College of Art and Craft", "Portland"], ["Oregon Institute of Technology", "Klamath Falls"], ["Oregon State University", "Corvallis"], ["Otis College of Art and Design", "Los Angeles"], ["Ottawa University", "Ottawa"], ["Otterbein University", "Westerville"], ["Ouachita Baptist University", "Arkadelphia"], ["Our Lady of Holy Cross College", "New Orleans"], ["Our Lady of the Lake College", "Baton Rouge"], ["Our Lady of the Lake University", "San Antonio"], ["Pacific Lutheran University", "Tacoma"], ["Pacific Northwest College of Art", "Portland"], ["Pacific Oaks College", "Pasadena"], ["Pacific Union College", "Angwin"], ["Pacific University", "Forest Grove"], ["Paine College", "Augusta"], ["Palmer College of Chiropractic", "Davenport"], ["Park University", "Parkville"], ["Parker University", "Dallas"], ["Patten University", "Oakland"], ["Peirce College", "Philadelphia"], ["Peninsula College", "Port Angeles"], ["Pennsylvania College of Art and Design", "Lancaster"], ["Pennsylvania College of Technology", "Williamsport"], ["Pepperdine University", "Malibu"], ["Peru State College", "Peru"], ["Pfeiffer University", "Misenheimer"], ["Philadelphia University", "Philadelphia"], ["Philander Smith College", "Little Rock"], ["Piedmont College", "Demorest"], ["Pine Manor College", "Chestnut Hill"], ["Pittsburg State University", "Pittsburg"], ["Pitzer College", "Claremont"], ["Plaza College", "Jackson Heights"], ["Plymouth State University", "Plymouth"], ["Point Loma Nazarene University", "San Diego"], ["Point Park University", "Pittsburgh"], ["Point University", "East Point"], ["Polytechnic Institute of New York University", "Brooklyn"], ["Pomona College", "Claremont"], ["Pontifical Catholic University of Puerto Rico", "Ponce"], ["Pontifical College Josephinum", "Columbus"], ["Portland State University", "Portland"], ["Post University", "Waterbury"], ["Potomac College", "Washington"], ["Presbyterian College", "Clinton"], ["Prescott College", "Prescott"], ["Presentation College", "Aberdeen"], ["Princeton University", "Princeton"], ["Principia College", "Elsah"], ["Providence College", "Providence"], ["Puerto Rico Conservatory of Music", "San Juan"], ["Queens University of Charlotte", "Charlotte"], ["Quincy University", "Quincy"], ["Quinnipiac University", "Hamden"], ["Radford University", "Radford"], ["Ramapo College of New Jersey", "Mahwah"], ["Randolph-Macon College", "Ashland"], ["Ranken Technical College", "Saint Louis"], ["Reed College", "Portland"], ["Regent University", "Virginia Beach"], ["Regis College", "Weston"], ["Regis University", "Denver"], ["Reinhardt University", "Waleska"], ["Rensselaer Polytechnic Institute", "Troy"], ["Research College of Nursing", "Kansas City"], ["Resurrection University", "Chicago"], ["Rhode Island College", "Providence"], ["Rhode Island School of Design", "Providence"], ["Rhodes College", "Memphis"], ["Rice University", "Houston"], ["Rider University", "Lawrenceville"], ["Ringling College of Art and Design", "Sarasota"], ["Ripon College", "Ripon"], ["Rivier University", "Nashua"], ["Roanoke College", "Salem"], ["Robert B. Miller College", "Battle Creek"], ["Robert Morris University", "Moon Township"], ["Roberts Wesleyan College", "Rochester"], ["Rochester College", "Rochester Hills"], ["Rochester Institute of Technology", "Rochester"], ["Rockford University", "Rockford"], ["Rockhurst University", "Kansas City"], ["Rocky Mountain College of Art and Design", "Denver"], ["Rocky Mountain College", "Billings"], ["Roger Williams University", "Bristol"], ["Rogers State University", "Claremore"], ["Rollins College", "Winter Park"], ["Roosevelt University", "Chicago"], ["Rosalind Franklin University of Medicine and Science", "North Chicago"], ["Rose-Hulman Institute of Technology", "Terre Haute"], ["Rosemont College", "Rosemont"], ["Rowan University", "Glassboro"], ["Rush University", "Chicago"], ["Rust College", "Holly Springs"], ["SUNY College of Environmental Science and Forestry", "Syracuse"], ["SUNY Downstate Medical Center", "Brooklyn"], ["SUNY Downstate Medical Center", "Brooklyn"], ["SUNY Empire State College", "Saratoga Springs"], ["SUNY Maritime College", "Bronx"], ["Sacred Heart Major Seminary", "Detroit"], ["Sacred Heart University", "Fairfield"], ["Saginaw Valley State University", "University Center"], ["Salem College", "Winston Salem"], ["Salem International University", "Salem"], ["Salem State University", "Salem"], ["Salisbury University", "Salisbury"], ["Salish Kootenai College", "Pablo"], ["Salve Regina University", "Newport"], ["Sam Houston State University", "Huntsville"], ["Samford University", "Birmingham"], ["Samuel Merritt University", "Oakland"], ["San Diego Christian College", "El Cajon"], ["San Diego State University", "San Diego"], ["San Francisco Art Institute", "San Francisco"], ["San Francisco Conservatory of Music", "San Francisco"], ["San Francisco State University", "San Francisco"], ["San Jose State University", "San Jose"], ["Santa Clara University", "Santa Clara"], ["Santa Fe University of Art and Design", "Santa Fe"], ["Sarah Lawrence College", "Bronxville"], ["Savannah College of Art and Design", "Savannah"], ["Savannah State University", "Savannah"], ["School of Visual Arts", "New York"], ["School of the Art Institute of Chicago", "Chicago"], ["Schreiner University", "Kerrville"], ["Scripps College", "Claremont"], ["Seattle Pacific University", "Seattle"], ["Seattle University", "Seattle"], ["Seton Hall University", "South Orange"], ["Seton Hill University", "Greensburg"], ["Shaw University", "Raleigh"], ["Shawnee State University", "Portsmouth"], ["Shenandoah University", "Winchester"], ["Shepherd University", "Shepherdstown"], ["Shimer College", "Chicago"], ["Shippensburg University of Pennsylvania", "Shippensburg"], ["Shorter University", "Rome"], ["Siena College", "Loudonville"], ["Siena Heights University", "Adrian"], ["Sierra Nevada College", "Incline Village"], ["Silver Lake College", "Manitowoc"], ["Simmons College", "Boston"], ["Simpson College", "Indianola"], ["Simpson University", "Redding"], ["Sinte Gleska University", "Mission"], ["Sitting Bull College", "Fort Yates"], ["Skidmore College", "Saratoga Springs"], ["Slippery Rock University of Pennsylvania", "Slippery Rock"], ["Smith College", "Northampton"], ["Sojourner-Douglass College", "Baltimore"], ["Soka University of America", "Aliso Viejo"], ["Sonoma State University", "Rohnert Park"], ["South Carolina State University", "Orangeburg"], ["South College", "Knoxville"], ["South Dakota School of Mines and Technology", "Rapid City"], ["South Dakota State University", "Brookings"], ["South Seattle Community College", "Seattle"], ["South Texas College", "McAllen"], ["Southeast Missouri State University", "Cape Girardeau"], ["Southeastern Louisiana University", "Hammond"], ["Southeastern Oklahoma State University", "Durant"], ["Southeastern University", "Lakeland"], ["Southeastern University", "Washington"], ["Southern Adventist University", "Collegedale"], ["Southern California Institute of Architecture", "Los Angeles"], ["Southern Connecticut State University", "New Haven"], ["Southern Methodist University", "Dallas"], ["Southern Nazarene University", "Bethany"], ["Southern New Hampshire University", "Manchester"], ["Southern Oregon University", "Ashland"], ["Southern Polytechnic State University", "Marietta"], ["Southern Utah University", "Cedar City"], ["Southern Vermont College", "Bennington"], ["Southern Wesleyan University", "Central"], ["Southwest Baptist University", "Bolivar"], ["Southwest Minnesota State University", "Marshall"], ["Southwest University of Visual Arts", "Tucson"], ["Southwestern Adventist University", "Keene"], ["Southwestern Assemblies of God University", "Waxahachie"], ["Southwestern Christian College", "Terrell"], ["Southwestern Christian University", "Bethany"], ["Southwestern College", "Winfield"], ["Southwestern College", "Santa Fe"], ["Southwestern College", "Chula Vista"], ["Southwestern Oklahoma State University", "Weatherford"], ["Southwestern University", "Georgetown"], ["Spalding University", "Louisville"], ["Spelman College", "Atlanta"], ["Spring Arbor University", "Spring Arbor"], ["Spring Hill College", "Mobile"], ["Springfield College", "Springfield"], ["St. Bonaventure University", "St. Bonaventure"], ["St. Catherine University", "St. Paul"], ["St. Edward's University", "Austin"], ["St. Francis College", "Brooklyn Heights"], ["St. John's College", "Santa Fe"], ["St. John's College", "Annapolis"], ["St. John's College", "Springfield"], ["St. Lawrence University", "Canton"], ["St. Mary's College of Maryland", "Saint Mary's City"], ["St. Olaf College", "Northfield"], ["St. Petersburg College", "Clearwater"], ["St. Thomas Aquinas College", "Sparkill"], ["Stanford University", "Stanford"], ["Stephens College", "Columbia"], ["Sterling College", "Sterling"], ["Sterling College", "Craftsbury Common"], ["Stetson University", "DeLand"], ["Stevens Institute of Technology", "Hoboken"], ["Stevenson University", "Stevenson"], ["Stillman College", "Tuscaloosa"], ["Stonehill College", "Easton"], ["Strayer University", "Washington"], ["Suffolk University", "Boston"], ["Sul Ross State University", "Alpine"], ["Sullivan University", "Louisville"], ["Susquehanna University", "Selinsgrove"], ["Swarthmore College", "Swarthmore"], ["Sweet Briar College", "Sweet Briar"], ["Syracuse University", "Syracuse"], ["Tabor College", "Hillsboro"], ["Talladega College", "Talladega"], ["Tarleton State University", "Stephenville"], ["Taylor University", "Upland"], ["Temple University", "Philadelphia"], ["Tennessee State University", "Nashville"], ["Tennessee Technological University", "Cookeville"], ["Tennessee Wesleyan College", "Athens"], ["Texas Christian University", "Fort Worth"], ["Texas College", "Tyler"], ["Texas Lutheran University", "Seguin"], ["Texas Southern University", "Houston"], ["Texas State University", "San Marcos"], ["Texas Tech University Health Sciences Center", "Lubbock"], ["Texas Tech University", "Lubbock"], ["Texas Wesleyan University", "Fort Worth"], ["Texas Woman's University", "Denton"], ["The Citadel", "Charleston"], ["The Sage Colleges", "Troy"], ["Thiel College", "Greenville"], ["Thomas Aquinas College", "Santa Paula"], ["Thomas College", "Waterville"], ["Thomas Edison State College", "Trenton"], ["Thomas Jefferson University", "Philadelphia"], ["Thomas More College of Liberal Arts", "Merrimack"], ["Thomas More College", "Crestview Hills"], ["Thomas University", "Thomasville"], ["Tiffin University", "Tiffin"], ["Toccoa Falls College", "Toccoa Falls"], ["Tougaloo College", "Tougaloo"], ["Touro College", "New York"], ["Towson University", "Towson"], ["Transylvania University", "Lexington"], ["Trevecca Nazarene University", "Nashville"], ["Trident University International", "Cypress"], ["Trine University", "Angola"], ["Trinity Christian College", "Palos Heights"], ["Trinity College", "Hartford"], ["Trinity College", "Fairfield"], ["Trinity International University", "Deerfield"], ["Trinity Lutheran College", "Issaquah"], ["Trinity University", "San Antonio"], ["Troy University", "Troy"], ["Truman State University", "Kirksville"], ["Tufts University", "Medford"], ["Tulane University", "New Orleans"], ["Tusculum College", "Greeneville"], ["Tuskegee University", "Tuskegee"], ["Union College", "Barbourville"], ["Union College", "Lincoln"], ["Union College", "Schenectady"], ["Union University", "Jackson"], ["United States Air Force Academy", "USAF Academy"], ["United States Coast Guard Academy", "New London"], ["United States Merchant Marine Academy", "Kings Point"], ["United States Military Academy", "West Point"], ["United States Naval Academy", "Annapolis"], ["United States Sports Academy", "Daphne"], ["Unity College", "Unity"], ["Universidad Adventista de las Antillas", "Mayaguez"], ["University of Advancing Technology", "Tempe"], ["University of Akron", "Akron"], ["University of Arizona", "Tucson"], ["University of Arkansas for Medical Sciences", "Little Rock"], ["University of Baltimore", "Baltimore"], ["University of Bridgeport", "Bridgeport"], ["University of Central Arkansas", "Conway"], ["University of Central Florida", "Orlando"], ["University of Central Missouri", "Warrensburg"], ["University of Central Oklahoma", "Edmond"], ["University of Charleston", "Charleston"], ["University of Chicago", "Chicago"], ["University of Connecticut", "Storrs"], ["University of Dallas", "Irving"], ["University of Dayton", "Dayton"], ["University of Delaware", "Newark"], ["University of Denver", "Denver"], ["University of Detroit Mercy", "Detroit"], ["University of Dubuque", "Dubuque"], ["University of Evansville", "Evansville"], ["University of Florida", "Gainesville"], ["University of Georgia", "Athens"], ["University of Great Falls", "Great Falls"], ["University of Guam", "Mangilao"], ["University of Hartford", "West Hartford"], ["University of Houston", "Houston"], ["University of Idaho", "Moscow"], ["University of Indianapolis", "Indianapolis"], ["University of Iowa", "Iowa City"], ["University of Kansas", "Lawrence"], ["University of Kentucky", "Lexington"], ["University of La Verne", "La Verne"], ["University of Louisville", "Louisville"], ["University of Maine", "Orono"], ["University of Mary Hardin-Baylor", "Belton"], ["University of Mary Washington", "Fredericksburg"], ["University of Mary", "Bismarck"], ["University of Medicine and Dentistry of New Jersey", "Newark"], ["University of Memphis", "Memphis"], ["University of Miami", "Coral Gables"], ["University of Mississippi Medical Center", "Jackson"], ["University of Mobile", "Mobile"], ["University of Montevallo", "Montevallo"], ["University of Mount Union", "Alliance"], ["University of Nebraska Medical Center", "Omaha"], ["University of New England", "Biddeford"], ["University of New Hampshire", "Durham"], ["University of New Haven", "West Haven"], ["University of New Orleans", "New Orleans"], ["University of North Alabama", "Florence"], ["University of North Dakota", "Grand Forks"], ["University of North Florida", "Jacksonville"], ["University of North Texas", "Denton"], ["University of Northern Colorado", "Greeley"], ["University of Northern Iowa", "Cedar Falls"], ["University of Northwestern Ohio", "Lima"], ["University of Notre Dame", "Notre Dame"], ["University of Oklahoma", "Norman"], ["University of Oregon", "Eugene"], ["University of Pennsylvania", "Philadelphia"], ["University of Phoenix", "Tempe"], ["University of Pikeville", "Pikeville"], ["University of Portland", "Portland"], ["University of Puget Sound", "Tacoma"], ["University of Redlands", "Redlands"], ["University of Rhode Island", "Kingston"], ["University of Richmond", "Richmond"], ["University of Rio Grande", "Rio Grande"], ["University of Rochester", "Rochester"], ["University of San Diego", "San Diego"], ["University of San Francisco", "San Francisco"], ["University of Science and Arts of Oklahoma", "Chickasha"], ["University of Scranton", "Scranton"], ["University of Sioux Falls", "Sioux Falls"], ["University of South Alabama", "Mobile"], ["University of South Dakota", "Vermillion"], ["University of South Florida", "Tampa"], ["University of Southern California", "Los Angeles"], ["University of Southern Indiana", "Evansville"], ["University of Southern Maine", "Portland"], ["University of Southern Mississippi", "Hattiesburg"], ["University of St. Francis", "Joliet"], ["University of St. Thomas", "Saint Paul"], ["University of St. Thomas", "Houston"], ["University of Tennessee", "Knoxville"], ["University of Toledo", "Toledo"], ["University of Tulsa", "Tulsa"], ["University of Utah", "Salt Lake City"], ["University of Vermont", "Burlington"], ["University of Virginia", "Charlottesville"], ["University of West Alabama", "Livingston"], ["University of West Georgia", "Carrollton"], ["University of Wyoming", "Laramie"], ["University of the Cumberlands", "Williamsburg"], ["University of the District of Columbia", "Washington"], ["University of the Incarnate Word", "San Antonio"], ["University of the Ozarks", "Clarksville"], ["University of the Pacific", "Stockton"], ["University of the Sacred Heart", "San Juan"], ["University of the Sciences", "Philadelphia"], ["University of the Southwest", "Hobbs"], ["University of the Virgin Islands", "Charlotte Amalie"], ["University of the West", "Rosemead"], ["Upper Iowa University", "Fayette"], ["Urbana University", "Urbana"], ["Ursinus College", "Collegeville"], ["Ursuline College", "Pepper Pike"], ["Utah State University", "Logan"], ["Utah Valley University", "Orem"], ["Utica College", "Utica"], ["Valdosta State University", "Valdosta"], ["Valley City State University", "Valley City"], ["Valley Forge Christian College", "Phoenixville"], ["Valparaiso University", "Valparaiso"], ["VanderCook College of Music", "Chicago"], ["Vanderbilt University", "Nashville"], ["Vanguard University of Southern California", "Costa Mesa"], ["Vassar College", "Poughkeepsie"], ["Vaughn College of Aeronautics and Technology", "Flushing"], ["Vermont Technical College", "Randolph Center"], ["Victory University", "Memphis"], ["Villanova University", "Villanova"], ["Vincennes University", "Vincennes"], ["Virginia Commonwealth University", "Richmond"], ["Virginia Intermont College", "Bristol"], ["Virginia Military Institute", "Lexington"], ["Virginia State University", "Petersburg"], ["Virginia Union University", "Richmond"], ["Virginia Wesleyan College", "Norfolk"], ["Viterbo University", "La Crosse"], ["Voorhees College", "Denmark"], ["Wabash College", "Crawfordsville"], ["Wagner College", "Staten Island"], ["Wake Forest University", "Winston Salem"], ["Walden University", "Minneapolis"], ["Waldorf College", "Forest City"], ["Walla Walla University", "College Place"], ["Walsh College of Accountancy and Business Administration", "Troy"], ["Walsh University", "North Canton"], ["Warner Pacific College", "Portland"], ["Warner University", "Lake Wales"], ["Warren Wilson College", "Swannanoa"], ["Wartburg College", "Waverly"], ["Washburn University", "Topeka"], ["Washington Adventist University", "Takoma Park"], ["Washington College", "Chestertown"], ["Washington State University", "Pullman"], ["Washington and Lee University", "Lexington"], ["Watkins College of Art, Design & Film", "Nashville"], ["Wayland Baptist University", "Plainview"], ["Wayne State College", "Wayne"], ["Wayne State University", "Detroit"], ["Waynesburg University", "Waynesburg"], ["Webb Institute", "Glen Cove"], ["Webber International University", "Babson Park"], ["Weber State University", "Ogden"], ["Webster University", "Saint Louis"], ["Welch College", "Nashville"], ["Wellesley College", "Wellesley"], ["Wells College", "Aurora"], ["Wentworth Institute of Technology", "Boston"], ["Wesley College", "Florence"], ["Wesley College", "Dover"], ["Wesleyan College", "Macon"], ["Wesleyan University", "Middletown"], ["West Chester University of Pennsylvania", "West Chester"], ["West Liberty University", "West Liberty"], ["West Virginia State University", "Institute"], ["West Virginia University", "Morgantown"], ["West Virginia Wesleyan College", "Buckhannon"], ["Western Carolina University", "Cullowhee"], ["Western Connecticut State University", "Danbury"], ["Western Governors University", "Salt Lake City"], ["Western Illinois University", "Macomb"], ["Western International University", "Tempe"], ["Western Kentucky University", "Bowling Green"], ["Western Michigan University", "Kalamazoo"], ["Western Nevada College", "Carson City"], ["Western New Mexico University", "Silver City"], ["Western Oregon University", "Monmouth"], ["Western Washington University", "Bellingham"], ["Westfield State University", "Westfield"], ["Westminster College", "Salt Lake City"], ["Westminster College", "Fulton"], ["Westminster College", "New Wilmington"], ["Westmont College", "Santa Barbara"], ["Wheaton College", "Norton"], ["Wheaton College", "Wheaton"], ["Wheeling Jesuit University", "Wheeling"], ["Wheelock College", "Boston"], ["Whitman College", "Walla Walla"], ["Whittier College", "Whittier"], ["Whitworth University", "Spokane"], ["Wichita State University", "Wichita"], ["Wilberforce University", "Wilberforce"], ["Wiley College", "Marshall"], ["Wilkes University", "Wilkes-Barre"], ["Willamette University", "Salem"], ["William Carey University", "Hattiesburg"], ["William Jessup University", "Rocklin"], ["William Jewell College", "Liberty"], ["William Paterson University of New Jersey", "Wayne"], ["William Peace University", "Raleigh"], ["William Penn University", "Oskaloosa"], ["William Woods University", "Fulton"], ["Williams Baptist College", "Walnut Ridge"], ["Williams College", "Williamstown"], ["Wilmington College", "Wilmington"], ["Wilmington University", "New Castle"], ["Wilson College", "Chambersburg"], ["Wingate University", "Wingate"], ["Winona State University", "Winona"], ["Winston-Salem State University", "Winston-Salem"], ["Winthrop University", "Rock Hill"], ["Wisconsin Lutheran College", "Milwaukee"], ["Wittenberg University", "Springfield"], ["Wofford College", "Spartanburg"], ["Woodbury University", "Burbank"], ["Worcester Polytechnic Institute", "Worcester"], ["Worcester State University", "Worcester"], ["Wright State University", "Dayton"], ["Xavier University of Louisiana", "New Orleans"], ["Xavier University", "Cincinnati"], ["Yale University", "New Haven"], ["Yeshiva University", "New York"], ["York College of Pennsylvania", "York"], ["York College", "York"], ["Youngstown State University", "Youngstown"]], "sources": ["Semantic-Join/Semantic-join-Benchmark/Case12_input.txt", "Semantic-Join/Semantic-join-Benchmark/Case12_groundtruth.txt"]} | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| # |
| ( |
| 3 |
| C |
| L |
| 2 |
| x |
| { |
| + |
Input Table 2:
| Col_1 |
|--------:|
| 35 |
| 40 |
| 51 |
| 67 |
| 76 |
| 50 |
| 120 |
| 123 |
| 43 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AsciiToUnicode", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AsciiToUnicode", "case": "AsciiToUnicode", "label": [["#", 35], ["(", 40], ["3", 51], ["C", 67], ["L", 76], ["2", 50], ["x", 120], ["{", 123], ["+", 43]], "sources": ["DataXFormer-benchmark/AsciiToUnicode/ground truth.csv", "DataXFormer-benchmark/AsciiToUnicode/source.csv", "DataXFormer-benchmark/AsciiToUnicode/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------|
| 128.31.34.154 |
| 130.0.75.55 |
| 155.56.47.116 |
| 129.42.38.1 |
| 137.254.120.50 |
| 66.220.158.68 |
| 978-1-118-12938-8 |
| 140.205.248.2 |
| 162.13.40.196 |
| 191.239.213.197 |
Input Table 2:
| Col_1 |
|:---------------|
| United States |
| Germany |
| Germany |
| United States |
| United States |
| United States |
| China |
| Costa Rica |
| United Kingdom |
| United States |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "IPToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/IPToCountry", "case": "IPToCountry", "label": [["128.31.34.154", "United States"], ["130.0.75.55", "Germany"], ["155.56.47.116", "Germany"], ["129.42.38.1", "United States"], ["137.254.120.50", "United States"], ["66.220.158.68", "United States"], ["978-1-118-12938-8", "China"], ["140.205.248.2", "Costa Rica"], ["162.13.40.196", "United Kingdom"], ["191.239.213.197", "United States"]], "sources": ["DataXFormer-benchmark/IPToCountry/ground truth.csv", "DataXFormer-benchmark/IPToCountry/source.csv", "DataXFormer-benchmark/IPToCountry/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------------|
| Amazon.com Inc. |
| Google Inc |
| International Business Machines |
| Bank of America Corporation |
| General Electric Company |
| General Motors Company |
| Comcast Corporation |
| Apple Inc |
| Microsoft Corporation |
| SAP AG |
Input Table 2:
| Col_1 |
|:-------------|
| BBG00094DJF9 |
| BBG0013YWBF3 |
| BBG0000WHK50 |
| BBG00000YH03 |
| BBG0000112Y3 |
| BBG009KHTL39 |
| BBG00001KTF4 |
| BBG004HSPP80 |
| BBG00009KTG6 |
| BBG000BR9Q00 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToBloombergID", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToBloombergID", "case": "CompanyToBloombergID", "label": [["Amazon.com Inc.", "BBG00094DJF9"], ["Google Inc", "BBG0013YWBF3"], ["International Business Machines", "BBG0000WHK50"], ["Bank of America Corporation", "BBG00000YH03"], ["General Electric Company", "BBG0000112Y3"], ["General Motors Company", "BBG009KHTL39"], ["Comcast Corporation", "BBG00001KTF4"], ["Apple Inc", "BBG004HSPP80"], ["Microsoft Corporation", "BBG00009KTG6"], ["SAP AG", "BBG000BR9Q00"]], "sources": ["DataXFormer-benchmark/CompanyToBloombergID/ground truth.csv", "DataXFormer-benchmark/CompanyToBloombergID/source.csv", "DataXFormer-benchmark/CompanyToBloombergID/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------|
| 0-553-10354-7 |
| 1501260049 |
| 0-688-03036-X |
| 978-0374275631 |
| 033036426X |
| 9.78055E+12 |
| 978-1-118-12938-8 |
| 978-3-642-29575-1 |
| 978-0451476807 |
| 978-0312427986 |
Input Table 2:
| Col_1 |
|:--------------------------------|
| A Game of thrones |
| The innovator's dilemma |
| The Cider House Rules |
| Thinking Fast and Slow |
| The book Thief |
| The google Story |
| Operating system concepts |
| In-Memory Data Management |
| Eye of the needle |
| The war of the end of the world |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISBNToTitle", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISBNToTitle", "case": "ISBNToTitle", "label": [["0-553-10354-7", "A Game of thrones"], ["1501260049", "The innovator's dilemma"], ["0-688-03036-X", "The Cider House Rules"], ["978-0374275631", "Thinking Fast and Slow"], ["033036426X", "The book Thief"], ["9.78055E+12", "The google Story"], ["978-1-118-12938-8", "Operating system concepts"], ["978-3-642-29575-1", "In-Memory Data Management"], ["978-0451476807", "Eye of the needle"], ["978-0312427986", "The war of the end of the world"]], "sources": ["DataXFormer-benchmark/ISBNToTitle/ground truth.csv", "DataXFormer-benchmark/ISBNToTitle/source.csv", "DataXFormer-benchmark/ISBNToTitle/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------|
| Rotterdam |
| Marseille |
| Toronto |
| Istanbul |
| Aarhus |
| Munich |
| Barcelona |
| Alexandria |
| Los Angeles |
| Krakow |
Input Table 2:
| Col_1 |
|:-------------------------|
| 51.924420/4.477733 |
| 43.296482/5.369780 |
| 43.653226/-79.383184 |
| 41.008238/28.978359 |
| 56.162939/10.203921 |
| 48.135125/11.581981 |
| 41.385064/2.173403 |
| (38.804836/ -77.046921) |
| (34.052234/ -118.243685) |
| (50.064650/ 19.94498) |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "City2LongLat", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/City2LongLat", "case": "City2LongLat", "label": [["Rotterdam", "51.924420/4.477733"], ["Marseille", "43.296482/5.369780"], ["Toronto", "43.653226/-79.383184"], ["Istanbul", "41.008238/28.978359"], ["Aarhus", "56.162939/10.203921"], ["Munich", "48.135125/11.581981"], ["Barcelona", "41.385064/2.173403"], ["Alexandria", "(38.804836/ -77.046921)"], ["Los Angeles", "(34.052234/ -118.243685)"], ["Krakow", "(50.064650/ 19.94498)"]], "sources": ["DataXFormer-benchmark/City2LongLat/ground truth.csv", "DataXFormer-benchmark/City2LongLat/source.csv", "DataXFormer-benchmark/City2LongLat/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|--------:|
| 6 |
| 6.5 |
| 7 |
| 7.5 |
| 8 |
| 8.5 |
| 9 |
| 9.5 |
| 10 |
| 10.5 |
| 11 |
| 11.5 |
| 12 |
| 12.5 |
| 13 |
Input Table 2:
| Col_1 |
|--------:|
| 38 |
| 38.7 |
| 39.3 |
| 40 |
| 40.5 |
| 41 |
| 42 |
| 42.5 |
| 43 |
| 44 |
| 44.5 |
| 45 |
| 46 |
| 46.5 |
| 47 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "shoesizeUSEUR", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/shoesizeUSEUR", "case": "shoesizeUSEUR", "label": [[6.0, 38.0], [6.5, 38.7], [7.0, 39.3], [7.5, 40.0], [8.0, 40.5], [8.5, 41.0], [9.0, 42.0], [9.5, 42.5], [10.0, 43.0], [10.5, 44.0], [11.0, 44.5], [11.5, 45.0], [12.0, 46.0], [12.5, 46.5], [13.0, 47.0]], "sources": ["DataXFormer-benchmark/shoesizeUSEUR/ground truth.csv", "DataXFormer-benchmark/shoesizeUSEUR/source.csv", "DataXFormer-benchmark/shoesizeUSEUR/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|--------:|
| 32 |
| 77 |
| 30 |
| 41 |
| 59 |
| 68 |
| 212 |
| 50 |
| 86 |
Input Table 2:
| Col_1 |
|--------:|
| 0 |
| 25 |
| -1.11 |
| 5 |
| 15 |
| 20 |
| 100 |
| 10 |
| 30 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "fahrenheitToCelcius", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/fahrenheitToCelcius", "case": "fahrenheitToCelcius", "label": [[32.0, 0.0], [77.0, 25.0], [30.0, -1.11], [41.0, 5.0], [59.0, 15.0], [68.0, 20.0], [212.0, 100.0], [50.0, 10.0], [86.0, 30.0]], "sources": ["DataXFormer-benchmark/fahrenheitToCelcius/ground truth.csv", "DataXFormer-benchmark/fahrenheitToCelcius/source.csv", "DataXFormer-benchmark/fahrenheitToCelcius/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------|
| Michael Schumacher |
| Juan Manuel Fangio |
| Alain Prost |
| Sebastian Vettel |
| Jack Brabham |
| Jackie Stewart |
| Niki Lauda |
| Nelson Piquet |
| Ayrton Senna |
| Alberto Ascari |
| Graham Hill |
| Jim Clark |
| Emerson Fittipaldi |
| Mika H„kkinen |
| Fernando Alonso |
| Lewis Hamilton |
| Michael Schumacher |
| Michael Schumacher |
| Michael Schumacher |
| Michael Schumacher |
| Michael Schumacher |
| Michael Schumacher |
| Juan Manuel Fangio |
| Juan Manuel Fangio |
| Juan Manuel Fangio |
| Juan Manuel Fangio |
| Alain Prost |
| Alain Prost |
| Alain Prost |
| Sebastian Vettel |
| Sebastian Vettel |
| Sebastian Vettel |
| Jack Brabham |
| Jack Brabham |
| Jackie Stewart |
| Niki Lauda |
| Nelson Piquet |
| Ayrton Senna |
| Alberto Ascari |
| Graham Hill |
| Jim Clark |
| Emerson Fittipaldi |
| Mika H„kkinen |
| Fernando Alonso |
| Jackie Stewart |
| Niki Lauda |
| Nelson Piquet |
| Ayrton Senna |
Input Table 2:
| Col_1 |
|--------:|
| 1994 |
| 1951 |
| 1985 |
| 2010 |
| 1959 |
| 1969 |
| 1975 |
| 1981 |
| 1988 |
| 1952 |
| 1962 |
| 1963 |
| 1972 |
| 1998 |
| 2005 |
| 2008 |
| 1995 |
| 2000 |
| 2001 |
| 2002 |
| 2003 |
| 2004 |
| 1954 |
| 1955 |
| 1956 |
| 1957 |
| 1986 |
| 1989 |
| 1993 |
| 2011 |
| 2012 |
| 2013 |
| 1960 |
| 1966 |
| 1971 |
| 1977 |
| 1983 |
| 1990 |
| 1953 |
| 1968 |
| 1965 |
| 1974 |
| 1999 |
| 2006 |
| 1973 |
| 1984 |
| 1987 |
| 1991 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Driver2Champioships", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Driver2Champioships", "case": "Driver2Champioships", "label": [["Michael Schumacher", 1994], ["Juan Manuel Fangio", 1951], ["Alain Prost", 1985], ["Sebastian Vettel", 2010], ["Jack Brabham", 1959], ["Jackie Stewart", 1969], ["Niki Lauda", 1975], ["Nelson Piquet", 1981], ["Ayrton Senna", 1988], ["Alberto Ascari", 1952], ["Graham Hill", 1962], ["Jim Clark", 1963], ["Emerson Fittipaldi", 1972], ["Mika H\u201ekkinen", 1998], ["Fernando Alonso", 2005], ["Lewis Hamilton", 2008], ["Michael Schumacher", 1995], ["Michael Schumacher", 2000], ["Michael Schumacher", 2001], ["Michael Schumacher", 2002], ["Michael Schumacher", 2003], ["Michael Schumacher", 2004], ["Juan Manuel Fangio", 1954], ["Juan Manuel Fangio", 1955], ["Juan Manuel Fangio", 1956], ["Juan Manuel Fangio", 1957], ["Alain Prost", 1986], ["Alain Prost", 1989], ["Alain Prost", 1993], ["Sebastian Vettel", 2011], ["Sebastian Vettel", 2012], ["Sebastian Vettel", 2013], ["Jack Brabham", 1960], ["Jack Brabham", 1966], ["Jackie Stewart", 1971], ["Niki Lauda", 1977], ["Nelson Piquet", 1983], ["Ayrton Senna", 1990], ["Alberto Ascari", 1953], ["Graham Hill", 1968], ["Jim Clark", 1965], ["Emerson Fittipaldi", 1974], ["Mika H\u201ekkinen", 1999], ["Fernando Alonso", 2006], ["Jackie Stewart", 1973], ["Niki Lauda", 1984], ["Nelson Piquet", 1987], ["Ayrton Senna", 1991]], "sources": ["DataXFormer-benchmark/Driver2Champioships/ground truth.csv", "DataXFormer-benchmark/Driver2Champioships/source.csv", "DataXFormer-benchmark/Driver2Champioships/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|--------:|
| 1 |
| 70 |
| 99 |
| 8 |
| 59 |
| 68 |
| 212 |
| 192 |
| 190 |
Input Table 2:
| Col_1 |
|--------:|
| 0.45 |
| 31.75 |
| 44.9 |
| 3.6 |
| 26.76 |
| 30.84 |
| 96.16 |
| 87.09 |
| 86.18 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "PoundsToKg", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/PoundsToKg", "case": "PoundsToKg", "label": [[1.0, 0.45], [70.0, 31.75], [99.0, 44.9], [8.0, 3.6], [59.0, 26.76], [68.0, 30.84], [212.0, 96.16], [192.0, 87.09], [190.0, 86.18]], "sources": ["DataXFormer-benchmark/PoundsToKg/ground truth.csv", "DataXFormer-benchmark/PoundsToKg/source.csv", "DataXFormer-benchmark/PoundsToKg/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| AMZN |
| GOOGL |
| IBM |
| BAC |
| GE |
| GM |
| CMCSA |
| AAPL |
| MSFT |
| SAP |
Input Table 2:
| Col_1 |
|:--------------------------------|
| Amazon.com Inc. |
| Google Inc |
| International Business Machines |
| Bank of America Corporation |
| General Electric Company |
| General Motors Company |
| Comcast Corporation |
| Apple Inc |
| Microsoft Corporation |
| SAP AG O.N. |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SymbolToCompanyName", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SymbolToCompanyName", "case": "SymbolToCompanyName", "label": [["AMZN", "Amazon.com Inc."], ["GOOGL", "Google Inc"], ["IBM", "International Business Machines"], ["BAC", "Bank of America Corporation"], ["GE", "General Electric Company"], ["GM", "General Motors Company"], ["CMCSA", "Comcast Corporation"], ["AAPL", "Apple Inc"], ["MSFT", "Microsoft Corporation"], ["SAP", "SAP AG O.N."]], "sources": ["DataXFormer-benchmark/SymbolToCompanyName/ground truth.csv", "DataXFormer-benchmark/SymbolToCompanyName/source.csv", "DataXFormer-benchmark/SymbolToCompanyName/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------------------|
| California Institute of Technology |
| Harvard University |
| Harvey Mudd College |
| Dartmouth College |
| Stanford University |
| Princeton University |
| Yale University |
| University of Notre Dame |
| University of Pennsylvania |
| Duke University |
| Lehigh University |
| Union College |
| Amherst College |
| Worcester Polytechnic Institute |
| University of California Berkeley |
| Carnegie Mellon University |
| Colgate University |
| Columbia University |
| Rensselaer Polytechnic Institute |
| Bowdoin College |
| Brown University |
| Villanova University |
| Rice University |
| Cornell University |
| Lafayette College |
| Stevens Institute of Technology |
| Georgia Institute of Technology |
| Santa Clara University |
| College of the Holy Cross |
| University of Chicago |
| Manhattan College |
| University of Virginia |
| Williams College |
| Rose-Hulman Institute of Technology |
| Tufts University |
| Washington and Lee University |
| Bucknell University |
| University of California San Diego |
| University of California at Los Angeles |
| University of Southern California |
Input Table 2:
| Col_1 |
|:---------------|
| California |
| Massachusetts |
| California |
| New Hampshire |
| California |
| New Jersey |
| Connecticut |
| Indiana |
| Pennsylvania |
| North Carolina |
| Pennsylvania |
| New York |
| Massachusetts |
| Massachusetts |
| California |
| Pennsylvania |
| New York |
| New York |
| New York |
| Maine |
| Massachusetts |
| Pennsylvania |
| Texas |
| New Jersey |
| Indiana |
| New Jersey |
| Georgia |
| California |
| Massachusetts |
| Illinois |
| New York |
| Virginia |
| Massachusetts |
| Indiana |
| Massachusetts |
| Virginia |
| Pennsylvania |
| California |
| California |
| California |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "UniversityTostate", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/UniversityTostate", "case": "UniversityTostate", "label": [["California Institute of Technology", "California"], ["Harvard University", "Massachusetts"], ["Harvey Mudd College", "California"], ["Dartmouth College", "New Hampshire"], ["Stanford University", "California"], ["Princeton University", "New Jersey"], ["Yale University", "Connecticut"], ["University of Notre Dame", "Indiana"], ["University of Pennsylvania", "Pennsylvania"], ["Duke University", "North Carolina"], ["Lehigh University", "Pennsylvania"], ["Union College", "New York"], ["Amherst College", "Massachusetts"], ["Worcester Polytechnic Institute", "Massachusetts"], ["University of California Berkeley", "California"], ["Carnegie Mellon University", "Pennsylvania"], ["Colgate University", "New York"], ["Columbia University", "New York"], ["Rensselaer Polytechnic Institute", "New York"], ["Bowdoin College", "Maine"], ["Brown University", "Massachusetts"], ["Villanova University", "Pennsylvania"], ["Rice University", "Texas"], ["Cornell University", "New Jersey"], ["Lafayette College", "Indiana"], ["Stevens Institute of Technology", "New Jersey"], ["Georgia Institute of Technology", "Georgia"], ["Santa Clara University", "California"], ["College of the Holy Cross", "Massachusetts"], ["University of Chicago", "Illinois"], ["Manhattan College", "New York"], ["University of Virginia", "Virginia"], ["Williams College", "Massachusetts"], ["Rose-Hulman Institute of Technology", "Indiana"], ["Tufts University", "Massachusetts"], ["Washington and Lee University", "Virginia"], ["Bucknell University", "Pennsylvania"], ["University of California San Diego", "California"], ["University of California at Los Angeles", "California"], ["University of Southern California", "California"]], "sources": ["DataXFormer-benchmark/UniversityTostate/ground truth.csv", "DataXFormer-benchmark/UniversityTostate/source.csv", "DataXFormer-benchmark/UniversityTostate/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------|
| Oracle |
| IBM |
| Microsoft |
| GM |
| GE |
| Bank of America |
| Staples |
| Starbucks |
| Nokia |
| Dell |
Input Table 2:
| Col_1 |
|:------------------|
| Larry Ellison |
| Ginni Rometty |
| Satya Nadella |
| Mary T. Barra |
| Jeffrey R. Immelt |
| Brian T. Moynihan |
| Ron Sargent |
| Howard Schultz |
| Rajeev Suri |
| Michael S. Dell |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToCeo", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToCeo", "case": "CompanyToCeo", "label": [["Oracle", "Larry Ellison"], ["IBM", "Ginni Rometty"], ["Microsoft", "Satya Nadella"], ["GM", "Mary T. Barra"], ["GE", "Jeffrey R. Immelt"], ["Bank of America", "Brian T. Moynihan"], ["Staples", "Ron Sargent"], ["Starbucks", "Howard Schultz"], ["Nokia", "Rajeev Suri"], ["Dell", "Michael S. Dell"]], "sources": ["DataXFormer-benchmark/CompanyToCeo/ground truth.csv", "DataXFormer-benchmark/CompanyToCeo/source.csv", "DataXFormer-benchmark/CompanyToCeo/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------|
| Tom Cruise |
| Tom Cruise |
| Tom Cruise |
| Katie Holmes |
| Mimi Rogers |
| Nicole Kidman |
| Nicole Kidman |
| Mimi Rogers |
| Mimi Rogers |
| Andre Agassi |
| Andre Agassi |
| Brooke Shields |
| Brooke Shields |
| Marlon Brando |
| Anna Kashfi |
| Anna Kashfi |
| Marlon Brando |
| Movita Castaneda |
| Movita Castaneda |
| Marlon Brando |
| Tarita Teriipaia |
| Bill Clinton |
| Hillary Clinton |
| Elvis Presley |
| Priscilla Beaulieu |
| Kurt Cobain |
| Courtney Love |
| Courtney Love |
| Silvio Berlusconi |
| Carla Dall'Oglio |
| Silvio Berlusconi |
| Veronica Lario |
| Michael Jackson |
| Lisa Marie Presley |
| Lisa Marie Presley |
| Lisa Marie Presley |
| Michael Jackson |
| Nicolas Cage |
| Nicolas Cage |
| Nicolas Cage |
| Walt Disney |
| Lillian Disney |
| Lillian Disney |
| Bill Gates |
| Melinda Gates |
| Donald Trump |
| Donald Trump |
| Donald Trump |
| Salvador Dalí |
| Pablo Picasso |
| Pablo Picasso |
| George Best |
| George Best |
| Diego Maradona |
| Hugo Chávez |
| Hugo Chávez |
| David Letterman |
| David Letterman |
| Bill Cosby |
| Camille Cosby |
| Paul McCartney |
| Paul McCartney |
| Paul McCartney |
Input Table 2:
| Col_1 |
|:--------------------|
| Mimi Rogers |
| Nicole Kidman |
| Katie Holmes |
| Tom Cruise |
| Tom Cruise |
| Tom Cruise |
| Keith Urban |
| James Rogers |
| Christopher Ciaffa |
| Brooke Shields |
| Steffi Graf |
| Andre Agassi |
| Chris Henchy |
| Anna Kashfi |
| Marlon Brando |
| James Hannaford |
| Movita Castaneda |
| Marlon Brando |
| Jack Doyle |
| Tarita Teriipaia |
| Marlon Brando |
| Hillary Clinton |
| Bill Clinton |
| Priscilla Beaulieu |
| Elvis Presley |
| Courtney Love |
| Kurt Cobain |
| James Moreland |
| Carla Dall'Oglio |
| Silvio Berlusconi |
| Veronica Lario |
| Silvio Berlusconi |
| Lisa Marie Presley |
| Danny Keough |
| Nicolas Cage |
| Michael Lockwood |
| Deborah Jeanne Rowe |
| Lisa Marie Presley |
| Patricia Arquette |
| Alice Kim |
| Lillian Disney |
| Walt Disney |
| John L. Truyens |
| Melinda Gates |
| Bill Gates |
| Melania Knauss |
| Ivana Zelníčková |
| Marla Maples |
| Gala Dalí |
| Olga Khokhlova |
| Jacqueline Roque |
| Angie Best |
| Alex Best |
| Claudia Villafañe |
| Nancy Colmenares |
| Marisabel Rodríguez |
| Michelle Cook |
| Regina Lasko |
| Camille Cosby |
| Bill Cosby |
| Linda Eastman |
| Heather Mills |
| Nancy Shevell |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Person2Spouses", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Person2Spouses", "case": "Person2Spouses", "label": [["Tom Cruise", "Mimi Rogers"], ["Tom Cruise", "Nicole Kidman"], ["Tom Cruise", "Katie Holmes"], ["Katie Holmes", "Tom Cruise"], ["Mimi Rogers", "Tom Cruise"], ["Nicole Kidman", "Tom Cruise"], ["Nicole Kidman", "Keith Urban"], ["Mimi Rogers", "James Rogers"], ["Mimi Rogers", "Christopher Ciaffa"], ["Andre Agassi", "Brooke Shields"], ["Andre Agassi", "Steffi Graf"], ["Brooke Shields", "Andre Agassi"], ["Brooke Shields", "Chris Henchy"], ["Marlon Brando", "Anna Kashfi"], ["Anna Kashfi", "Marlon Brando"], ["Anna Kashfi", "James Hannaford"], ["Marlon Brando", "Movita Castaneda"], ["Movita Castaneda", "Marlon Brando"], ["Movita Castaneda", "Jack Doyle"], ["Marlon Brando", "Tarita Teriipaia"], ["Tarita Teriipaia", "Marlon Brando"], ["Bill Clinton", "Hillary Clinton"], ["Hillary Clinton", "Bill Clinton"], ["Elvis Presley", "Priscilla Beaulieu"], ["Priscilla Beaulieu", "Elvis Presley"], ["Kurt Cobain", "Courtney Love"], ["Courtney Love", "Kurt Cobain"], ["Courtney Love", "James Moreland"], ["Silvio Berlusconi", "Carla Dall'Oglio"], ["Carla Dall'Oglio", "Silvio Berlusconi"], ["Silvio Berlusconi", "Veronica Lario"], ["Veronica Lario", "Silvio Berlusconi"], ["Michael Jackson", "Lisa Marie Presley"], ["Lisa Marie Presley", "Danny Keough"], ["Lisa Marie Presley", "Nicolas Cage"], ["Lisa Marie Presley", "Michael Lockwood"], ["Michael Jackson", "Deborah Jeanne Rowe"], ["Nicolas Cage", "Lisa Marie Presley"], ["Nicolas Cage", "Patricia Arquette"], ["Nicolas Cage", "Alice Kim"], ["Walt Disney", "Lillian Disney"], ["Lillian Disney", "Walt Disney"], ["Lillian Disney", "John L. Truyens"], ["Bill Gates", "Melinda Gates"], ["Melinda Gates", "Bill Gates"], ["Donald Trump", "Melania Knauss"], ["Donald Trump", "Ivana Zeln\u00ed\u010dkov\u00e1"], ["Donald Trump", "Marla Maples"], ["Salvador Dal\u00ed", "Gala Dal\u00ed"], ["Pablo Picasso", "Olga Khokhlova"], ["Pablo Picasso", "Jacqueline Roque"], ["George Best", "Angie Best"], ["George Best", "Alex Best"], ["Diego Maradona", "Claudia Villafa\u00f1e"], ["Hugo Ch\u00e1vez", "Nancy Colmenares"], ["Hugo Ch\u00e1vez", "Marisabel Rodr\u00edguez"], ["David Letterman", "Michelle Cook"], ["David Letterman", "Regina Lasko"], ["Bill Cosby", "Camille Cosby"], ["Camille Cosby", "Bill Cosby"], ["Paul McCartney", "Linda Eastman"], ["Paul McCartney", "Heather Mills"], ["Paul McCartney", "Nancy Shevell"]], "sources": ["DataXFormer-benchmark/Person2Spouses/ground truth.csv", "DataXFormer-benchmark/Person2Spouses/source.csv", "DataXFormer-benchmark/Person2Spouses/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|--------:|
| 75657 |
| 76825 |
| 45052 |
| 2139 |
| 2215 |
| 45055 |
| 45050 |
| 45051 |
| 61880 |
| 96143 |
Input Table 2:
| Col_1 |
|:--------|
| TX |
| TX |
| OH |
| MA |
| MA |
| OH |
| OH |
| OH |
| IL |
| CA |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ZipToState", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ZipToState", "case": "ZipToState", "label": [[75657, "TX"], [76825, "TX"], [45052, "OH"], [2139, "MA"], [2215, "MA"], [45055, "OH"], [45050, "OH"], [45051, "OH"], [61880, "IL"], [96143, "CA"]], "sources": ["DataXFormer-benchmark/ZipToState/ground truth.csv", "DataXFormer-benchmark/ZipToState/source.csv", "DataXFormer-benchmark/ZipToState/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Portugal |
| Belarus |
| Mali |
| Morocco |
| Ecuador |
| Indonesia |
| Chile |
| Nicaragua |
| France |
| Haiti |
| Bahrain |
| Fiji |
| Cape Verde |
| Sierra Leone |
| Latvia |
| Panama |
| Oman |
| Turkey |
| Guyana |
| Czech Republic |
| Mexico |
| Laos |
| Mozambique |
| Benin |
| Romania |
| Iceland |
| Algeria |
| Belize |
| Saudi Arabia |
| Paraguay |
| Syria |
| Barbados |
| Lebanon |
| Colombia |
| Yemen |
| El Salvador |
| Malaysia |
| Liechtenstein |
| Albania |
| Slovenia |
| Burkina Faso |
| Mongolia |
| San Marino |
| Guatemala |
| Austria |
| Mauritania |
| Egypt |
| Hungary |
| Mauritius |
| Argentina |
| Poland |
| Russia |
| Georgia |
| Bulgaria |
| Germany |
| Norway |
| Japan |
| New Zealand |
| South Korea |
| United Arab Emirates |
| Angola |
| Cuba |
| Iran |
| Slovakia |
| Greece |
| Maldives |
| Thailand |
| Costa Rica |
| Ukraine |
| Tajikistan |
| Sri Lanka |
| Tonga |
| Italy |
| India |
| Moldova |
| Macedonia |
| Senegal |
| Jordan |
| Guinea |
| Cyprus |
| Denmark |
| Kuwait |
| Namibia |
| UZBEKISTAN |
| Myanmar |
| Ghana |
| Uruguay |
| Libya |
| Andorra |
| Saint Kitts and Nevis |
| Saint Lucia |
| Armenia |
| Brazil |
| Venezuela |
| Croatia |
| Cameroon |
| Zimbabwe |
| Sweden |
| Serbia |
| Qatar |
| Estonia |
| Nigeria |
| Tuvalu |
| Spain |
| Saint Vincent and the Grenadines |
| Palau |
| North Korea |
| Bhutan |
| Azerbaijan |
| Nepal |
| Vietnam |
| Solomon Islands |
| Bolivia |
| Liberia |
| Turkmenistan |
| Ethiopia |
| Honduras |
| Australia |
| Dominica |
| Tunisia |
| Netherlands |
| China |
| Antigua and Barbuda |
| Gambia |
| Lithuania |
| Uganda |
| Jamaica |
| Sudan |
| United Kingdom |
| Grenada |
| Bahamas |
| Cambodia |
| Zambia |
| Dominican Republic |
| Botswana |
Input Table 2:
| Col_1 |
|:-------------------|
| Portuguese |
| Belarusian Russian |
| French |
| Arabic |
| Spanish |
| Indonesian |
| Spanish |
| Spanish |
| French |
| French |
| Arabic |
| English |
| Portuguese |
| English |
| Latvian |
| Spanish |
| Arabic |
| Turkish |
| English |
| Czech |
| Spanish |
| LAO |
| Portuguese |
| French |
| Romanian |
| Icelandic |
| Arabic |
| English |
| Arabic |
| Spanish |
| Arabic |
| English |
| Arabic |
| Spanish |
| Arabic |
| Spanish |
| Malay |
| German |
| Albanian |
| Slovene |
| French |
| Mongolian |
| Italian |
| Spanish |
| German |
| Arabic |
| Arabic |
| Hungarian |
| English |
| Spanish |
| Polish |
| Russian |
| Georgian |
| Bulgarian |
| German |
| Norwegian |
| Japanese |
| English |
| Korean |
| Arabic |
| Portuguese |
| Spanish |
| Persian |
| Slovak |
| Greek |
| Dhivehi |
| Thai |
| Spanish |
| Ukrainian |
| Tajik |
| Sinhala Tamil |
| Tongan English |
| Italian |
| English Hindi |
| Moldovan |
| Macedonian |
| French |
| Arabic |
| French |
| Greek Turkish |
| Danish |
| Arabic |
| English |
| Uzbek |
| Burmese |
| English |
| Spanish |
| Arabic |
| Catalan |
| English |
| English |
| Armenian |
| Portuguese |
| Spanish |
| Croatian |
| French |
| English |
| Swedish |
| Serbian |
| Arabic |
| Estonian |
| English |
| English |
| Spanish |
| English |
| English |
| Korean |
| Dzongkha |
| Azerbaijani |
| Nepali |
| Vietnamese |
| English |
| Spanish |
| English |
| Turkmen |
| Amharic |
| Spanish |
| English |
| English |
| Arabic |
| Dutch |
| Chinese |
| English |
| English |
| Lithuanian |
| English |
| English |
| Arabic |
| English |
| English |
| English |
| Khmer |
| English |
| Spanish |
| Tswana |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToLanguage", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToLanguage", "case": "CountryToLanguage", "label": [["Portugal", "Portuguese"], ["Belarus", "Belarusian Russian"], ["Mali", "French"], ["Morocco", "Arabic"], ["Ecuador", "Spanish"], ["Indonesia", "Indonesian"], ["Chile", "Spanish"], ["Nicaragua", "Spanish"], ["France", "French"], ["Haiti", "French"], ["Bahrain", "Arabic"], ["Fiji", "English"], ["Cape Verde", "Portuguese"], ["Sierra Leone", "English"], ["Latvia", "Latvian"], ["Panama", "Spanish"], ["Oman", "Arabic"], ["Turkey", "Turkish"], ["Guyana", "English"], ["Czech Republic", "Czech"], ["Mexico", "Spanish"], ["Laos", "LAO"], ["Mozambique", "Portuguese"], ["Benin", "French"], ["Romania", "Romanian"], ["Iceland", "Icelandic"], ["Algeria", "Arabic"], ["Belize", "English"], ["Saudi Arabia", "Arabic"], ["Paraguay", "Spanish"], ["Syria", "Arabic"], ["Barbados", "English"], ["Lebanon", "Arabic"], ["Colombia", "Spanish"], ["Yemen", "Arabic"], ["El Salvador", "Spanish"], ["Malaysia", "Malay"], ["Liechtenstein", "German"], ["Albania", "Albanian"], ["Slovenia", "Slovene"], ["Burkina Faso", "French"], ["Mongolia", "Mongolian"], ["San Marino", "Italian"], ["Guatemala", "Spanish"], ["Austria", "German"], ["Mauritania", "Arabic"], ["Egypt", "Arabic"], ["Hungary", "Hungarian"], ["Mauritius", "English"], ["Argentina", "Spanish"], ["Poland", "Polish"], ["Russia", "Russian"], ["Georgia", "Georgian"], ["Bulgaria", "Bulgarian"], ["Germany", "German"], ["Norway", "Norwegian"], ["Japan", "Japanese"], ["New Zealand", "English"], ["South Korea", "Korean"], ["United Arab Emirates", "Arabic"], ["Angola", "Portuguese"], ["Cuba", "Spanish"], ["Iran", "Persian"], ["Slovakia", "Slovak"], ["Greece", "Greek"], ["Maldives", "Dhivehi"], ["Thailand", "Thai"], ["Costa Rica", "Spanish"], ["Ukraine", "Ukrainian"], ["Tajikistan", "Tajik"], ["Sri Lanka", "Sinhala Tamil"], ["Tonga", "Tongan English"], ["Italy", "Italian"], ["India", "English Hindi"], ["Moldova", "Moldovan"], ["Macedonia", "Macedonian"], ["Senegal", "French"], ["Jordan", "Arabic"], ["Guinea", "French"], ["Cyprus", "Greek Turkish"], ["Denmark", "Danish"], ["Kuwait", "Arabic"], ["Namibia", "English"], ["UZBEKISTAN", "Uzbek"], ["Myanmar", "Burmese"], ["Ghana", "English"], ["Uruguay", "Spanish"], ["Libya", "Arabic"], ["Andorra", "Catalan"], ["Saint Kitts and Nevis", "English"], ["Saint Lucia", "English"], ["Armenia", "Armenian"], ["Brazil", "Portuguese"], ["Venezuela", "Spanish"], ["Croatia", "Croatian"], ["Cameroon", "French"], ["Zimbabwe", "English"], ["Sweden", "Swedish"], ["Serbia", "Serbian"], ["Qatar", "Arabic"], ["Estonia", "Estonian"], ["Nigeria", "English"], ["Tuvalu", "English"], ["Spain", "Spanish"], ["Saint Vincent and the Grenadines", "English"], ["Palau", "English"], ["North Korea", "Korean"], ["Bhutan", "Dzongkha"], ["Azerbaijan", "Azerbaijani"], ["Nepal", "Nepali"], ["Vietnam", "Vietnamese"], ["Solomon Islands", "English"], ["Bolivia", "Spanish"], ["Liberia", "English"], ["Turkmenistan", "Turkmen"], ["Ethiopia", "Amharic"], ["Honduras", "Spanish"], ["Australia", "English"], ["Dominica", "English"], ["Tunisia", "Arabic"], ["Netherlands", "Dutch"], ["China", "Chinese"], ["Antigua and Barbuda", "English"], ["Gambia", "English"], ["Lithuania", "Lithuanian"], ["Uganda", "English"], ["Jamaica", "English"], ["Sudan", "Arabic"], ["United Kingdom", "English"], ["Grenada", "English"], ["Bahamas", "English"], ["Cambodia", "Khmer"], ["Zambia", "English"], ["Dominican Republic", "Spanish"], ["Botswana", "Tswana"]], "sources": ["DataXFormer-benchmark/CountryToLanguage/ground truth.csv", "DataXFormer-benchmark/CountryToLanguage/source.csv", "DataXFormer-benchmark/CountryToLanguage/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Salamanders |
| Albatross |
| Anhingas |
| Barn Owls |
| Chickadees and Titmice |
| Chickadees and Titmice |
| Cormorants |
| Cormorants |
| Cormorants |
| Cormorants |
| Cormorants |
| Cormorants |
| Cranes |
| Falcons |
| Falcons |
| Flycatchers |
| Frigatebirds |
| Grebes |
| Grebes |
| Grebes |
| Grebes |
| Grebes |
| Grebes |
Input Table 2:
| Col_1 |
|:-------------------------|
| Spotted Salamander |
| Laysan Albatross |
| Anhinga |
| Barn Owl |
| Black-Capped Chickadee |
| Carolina Chickadee |
| Double-Crested Cormorant |
| Neotropic Cormorant |
| Great Cormorant |
| Pelagic Cormorant |
| Cormorant |
| Red-Faced Cormorant |
| Sandhill Crane |
| Merlin |
| Gyrfalcon |
| Eastern Phoebe |
| Great Frigatebird |
| Clark's Grebe |
| Western Grebe |
| Horned Grebe |
| Red-Necked Grebe |
| Eared Grebe |
| Pied-Billed Grebe |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AnimalToGenusSpeciesCommonNames", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AnimalToGenusSpeciesCommonNames", "case": "AnimalToGenusSpeciesCommonNames", "label": [["Salamanders", "Spotted Salamander"], ["Albatross", "Laysan Albatross"], ["Anhingas", "Anhinga"], ["Barn Owls", "Barn Owl"], ["Chickadees and Titmice", "Black-Capped Chickadee"], ["Chickadees and Titmice", "Carolina Chickadee"], ["Cormorants", "Double-Crested Cormorant"], ["Cormorants", "Neotropic Cormorant"], ["Cormorants", "Great Cormorant"], ["Cormorants", "Pelagic Cormorant"], ["Cormorants", "Cormorant"], ["Cormorants", "Red-Faced Cormorant"], ["Cranes", "Sandhill Crane"], ["Falcons", "Merlin"], ["Falcons", "Gyrfalcon"], ["Flycatchers", "Eastern Phoebe"], ["Frigatebirds", "Great Frigatebird"], ["Grebes", "Clark's Grebe"], ["Grebes", "Western Grebe"], ["Grebes", "Horned Grebe"], ["Grebes", "Red-Necked Grebe"], ["Grebes", "Eared Grebe"], ["Grebes", "Pied-Billed Grebe"]], "sources": ["DataXFormer-benchmark/AnimalToGenusSpeciesCommonNames/ground truth.csv", "DataXFormer-benchmark/AnimalToGenusSpeciesCommonNames/source.csv", "DataXFormer-benchmark/AnimalToGenusSpeciesCommonNames/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------|
| John O'Brien |
| Josh Wolff |
| Eddie Lewis |
| Conor Casey |
| Fabian Carini |
| Diego Lugano |
| Diego Forlan |
| Brad Friedel |
| Claudio Reyna |
| Dwight Yorke |
| Hakan Yakin |
| Andreas Andersson |
| Fredrik Ljungberg |
| Markus Rosenberg |
| Christian Wilhelmsson |
| Zlatan Ibrahimovic |
| Anders Svensson |
| Antonio Di Natale |
| Cesc Fabregas |
| David Villa |
| Carlos Marchena |
| Iker Casillas |
| Fernando Torres |
| Raul Gonzalez |
| Vicente |
| Carles Puyol |
| Steven Pienaar |
| Zlatko Zahovic |
| Dejan Stankovic |
| Mateja Kezman |
| Salif Diao |
| El Hadji Diouf |
| Barry Ferguson |
| Cristiano Ronaldo |
| Ricardo Quaresma |
| Helder Postiga |
| Ricardo Carvalho |
| Deco |
| Maniche |
| Nuno Valente |
| Ricardo Pereira |
| Claudio Pizarro |
| Nolberto Solano |
| Jose Luis Chilavert |
| Roque Santa Cruz |
| John Carew |
| Obafemi Martins |
| Joseph Yobo |
| Cuauhtemoc Blanco |
| Jared Borgetti |
| Rafael Marquez |
| Hidetoshi Nakata |
| Didier Drogba |
| Fabio Cannavaro |
| Filippo Inzaghi |
| Francesco Totti |
| Luca Toni |
| Marco Materazzi |
| Massimo Oddo |
| Simone Perrotta |
| Vincenzo Iaquinta |
| Cristiano Zanetti |
| Alberto Gilardino |
| Alessandro Nesta |
| Roberto Baggio |
| Angelo Peruzzi |
| Andrea Pirlo |
| Antonio Cassano |
| Marco Di Vaio |
| Robbie Keane |
| Damien Duff |
| Marco Van Basten |
| Georgios Samaras |
| Angelos Basinas |
| Michael Essien |
| Samuel Kuffour |
| Michael Ballack |
| Christoph Metzelder |
| Jurgen Klinsmann |
| Oliver Kahn |
| Oliver Neuville |
| Tim Borowski |
| Lukas Podolski |
| Markus Babbel |
| Jens Lehmann |
| Kevin Kuranyi |
| Mikael Silvestre |
| Nicolas Anelka |
| Djibril Cisse |
| Claude Makelele |
| David Trezeguet |
| Zinedine Zidane |
| Michel Platini |
| Frederic Kanoute |
| Lilian Thuram |
| Jari Litmanen |
| David Beckham |
| Stephen Warnock |
| Wayne Rooney |
| Ashley Cole |
| Frank Lampard |
| Kieron Dyer |
| Jonathan Woodgate |
| Gary Neville |
| Jamie Carragher |
| Sol Campbell |
| Emile Heskey |
| Phil Neville |
| Paul Robinson |
| Shaun Wright Phillips |
| Ivan Hurtado |
| Dennis Rommedahl |
| Michael Laudrup |
| Jesper Gronkjaer |
| Jon Dahl Tomasson |
| Tomas Rosicky |
| Pavel Nedved |
| Petr Cech |
| Milan Baros |
| Marek Heinz |
| Marek Jankulovski |
| Dado Prso |
| Ivica Olic |
Input Table 2:
| Col_1 |
|:------------------|
| USA |
| USA |
| USA |
| USA |
| Uruguay |
| Uruguay |
| Uruguay |
| United States |
| United States |
| Trinidad & Tobago |
| Switzerland |
| Sweden |
| Sweden |
| Sweden |
| Sweden |
| Sweden |
| Sweden |
| Striker |
| Spain |
| Spain |
| Spain |
| Spain |
| Spain |
| Spain |
| Spain |
| Spain |
| South Africa |
| Slovenia |
| Serbia-Montenegro |
| Serbia-Montenegro |
| Senegal |
| Senegal |
| Scotland |
| Portugal |
| Portugal |
| Portugal |
| Portugal |
| Portugal |
| Portugal |
| Portugal |
| Portugal |
| Peru |
| Peru |
| Paraguay |
| Paraguay |
| Norway |
| Nigeria |
| Nigeria |
| Mexico |
| Mexico |
| Mexico |
| Japan |
| Ivory Coast |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Ireland |
| Ireland |
| Holland |
| Greece |
| Greece |
| Ghana |
| Ghana |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| France |
| France |
| France |
| France |
| France |
| France |
| France |
| France |
| France |
| Finland |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| England |
| Ecuador |
| Denmark |
| Denmark |
| Denmark |
| Denmark |
| Czech Republic |
| Czech Republic |
| Czech Republic |
| Czech Republic |
| Czech Republic |
| Czech Republic |
| Croatia |
| Croatia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerPlayer2NationalTeam", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerPlayer2NationalTeam", "case": "SoccerPlayer2NationalTeam", "label": [["John O'Brien", "USA"], ["Josh Wolff", "USA"], ["Eddie Lewis", "USA"], ["Conor Casey", "USA"], ["Fabian Carini", "Uruguay"], ["Diego Lugano", "Uruguay"], ["Diego Forlan", "Uruguay"], ["Brad Friedel", "United States"], ["Claudio Reyna", "United States"], ["Dwight Yorke", "Trinidad & Tobago"], ["Hakan Yakin", "Switzerland"], ["Andreas Andersson", "Sweden"], ["Fredrik Ljungberg", "Sweden"], ["Markus Rosenberg", "Sweden"], ["Christian Wilhelmsson", "Sweden"], ["Zlatan Ibrahimovic", "Sweden"], ["Anders Svensson", "Sweden"], ["Antonio Di Natale", "Striker"], ["Cesc Fabregas", "Spain"], ["David Villa", "Spain"], ["Carlos Marchena", "Spain"], ["Iker Casillas", "Spain"], ["Fernando Torres", "Spain"], ["Raul Gonzalez", "Spain"], ["Vicente", "Spain"], ["Carles Puyol", "Spain"], ["Steven Pienaar", "South Africa"], ["Zlatko Zahovic", "Slovenia"], ["Dejan Stankovic", "Serbia-Montenegro"], ["Mateja Kezman", "Serbia-Montenegro"], ["Salif Diao", "Senegal"], ["El Hadji Diouf", "Senegal"], ["Barry Ferguson", "Scotland"], ["Cristiano Ronaldo", "Portugal"], ["Ricardo Quaresma", "Portugal"], ["Helder Postiga", "Portugal"], ["Ricardo Carvalho", "Portugal"], ["Deco", "Portugal"], ["Maniche", "Portugal"], ["Nuno Valente", "Portugal"], ["Ricardo Pereira", "Portugal"], ["Claudio Pizarro", "Peru"], ["Nolberto Solano", "Peru"], ["Jose Luis Chilavert", "Paraguay"], ["Roque Santa Cruz", "Paraguay"], ["John Carew", "Norway"], ["Obafemi Martins", "Nigeria"], ["Joseph Yobo", "Nigeria"], ["Cuauhtemoc Blanco", "Mexico"], ["Jared Borgetti", "Mexico"], ["Rafael Marquez", "Mexico"], ["Hidetoshi Nakata", "Japan"], ["Didier Drogba", "Ivory Coast"], ["Fabio Cannavaro", "Italy"], ["Filippo Inzaghi", "Italy"], ["Francesco Totti", "Italy"], ["Luca Toni", "Italy"], ["Marco Materazzi", "Italy"], ["Massimo Oddo", "Italy"], ["Simone Perrotta", "Italy"], ["Vincenzo Iaquinta", "Italy"], ["Cristiano Zanetti", "Italy"], ["Alberto Gilardino", "Italy"], ["Alessandro Nesta", "Italy"], ["Roberto Baggio", "Italy"], ["Angelo Peruzzi", "Italy"], ["Andrea Pirlo", "Italy"], ["Antonio Cassano", "Italy"], ["Marco Di Vaio", "Italy"], ["Robbie Keane", "Ireland"], ["Damien Duff", "Ireland"], ["Marco Van Basten", "Holland"], ["Georgios Samaras", "Greece"], ["Angelos Basinas", "Greece"], ["Michael Essien", "Ghana"], ["Samuel Kuffour", "Ghana"], ["Michael Ballack", "Germany"], ["Christoph Metzelder", "Germany"], ["Jurgen Klinsmann", "Germany"], ["Oliver Kahn", "Germany"], ["Oliver Neuville", "Germany"], ["Tim Borowski", "Germany"], ["Lukas Podolski", "Germany"], ["Markus Babbel", "Germany"], ["Jens Lehmann", "Germany"], ["Kevin Kuranyi", "Germany"], ["Mikael Silvestre", "France"], ["Nicolas Anelka", "France"], ["Djibril Cisse", "France"], ["Claude Makelele", "France"], ["David Trezeguet", "France"], ["Zinedine Zidane", "France"], ["Michel Platini", "France"], ["Frederic Kanoute", "France"], ["Lilian Thuram", "France"], ["Jari Litmanen", "Finland"], ["David Beckham", "England"], ["Stephen Warnock", "England"], ["Wayne Rooney", "England"], ["Ashley Cole", "England"], ["Frank Lampard", "England"], ["Kieron Dyer", "England"], ["Jonathan Woodgate", "England"], ["Gary Neville", "England"], ["Jamie Carragher", "England"], ["Sol Campbell", "England"], ["Emile Heskey", "England"], ["Phil Neville", "England"], ["Paul Robinson", "England"], ["Shaun Wright Phillips", "England"], ["Ivan Hurtado", "Ecuador"], ["Dennis Rommedahl", "Denmark"], ["Michael Laudrup", "Denmark"], ["Jesper Gronkjaer", "Denmark"], ["Jon Dahl Tomasson", "Denmark"], ["Tomas Rosicky", "Czech Republic"], ["Pavel Nedved", "Czech Republic"], ["Petr Cech", "Czech Republic"], ["Milan Baros", "Czech Republic"], ["Marek Heinz", "Czech Republic"], ["Marek Jankulovski", "Czech Republic"], ["Dado Prso", "Croatia"], ["Ivica Olic", "Croatia"]], "sources": ["DataXFormer-benchmark/SoccerPlayer2NationalTeam/ground truth.csv", "DataXFormer-benchmark/SoccerPlayer2NationalTeam/source.csv", "DataXFormer-benchmark/SoccerPlayer2NationalTeam/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------|
| 1/1/15 |
| 4/1/15 |
| 6/1/15 |
| 12/1/15 |
| 12/8/15 |
| 5/8/15 |
| 8/8/15 |
| 8/8/15 |
| 4/20/13 |
| 11/20/11 |
Input Table 2:
| Col_1 |
|:-----------|
| 03/10/1436 |
| 06/11/1436 |
| 08/13/1436 |
| 02/18/1437 |
| 02/25/1437 |
| 07/19/1436 |
| 10/22/1436 |
| 10/01/1434 |
| 06/09/1434 |
| 12/23/1432 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "GregorianToHijri", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/GregorianToHijri", "case": "GregorianToHijri", "label": [["1/1/15", "03/10/1436"], ["4/1/15", "06/11/1436"], ["6/1/15", "08/13/1436"], ["12/1/15", "02/18/1437"], ["12/8/15", "02/25/1437"], ["5/8/15", "07/19/1436"], ["8/8/15", "10/22/1436"], ["8/8/15", "10/01/1434"], ["4/20/13", "06/09/1434"], ["11/20/11", "12/23/1432"]], "sources": ["DataXFormer-benchmark/GregorianToHijri/ground truth.csv", "DataXFormer-benchmark/GregorianToHijri/source.csv", "DataXFormer-benchmark/GregorianToHijri/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------|
| 128.31.34.154 |
| 130.0.75.55 |
| 155.56.47.116 |
| 129.42.38.1 |
| 137.254.120.50 |
| 66.220.158.68 |
| 978-1-118-12938-8 |
| 140.205.248.2 |
| 162.13.40.196 |
| 191.239.213.197 |
Input Table 2:
| Col_1 |
|:--------------|
| csail.mit.edu |
| signavio.de |
| Sap.com |
| ibm.com |
| oracle.com |
| facebook.com |
| alibaba.cn |
| dubsmash.com |
| nokia.com |
| microsoft.com |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "IPToDomain", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/IPToDomain", "case": "IPToDomain", "label": [["128.31.34.154", "csail.mit.edu"], ["130.0.75.55", "signavio.de"], ["155.56.47.116", "Sap.com"], ["129.42.38.1", "ibm.com"], ["137.254.120.50", "oracle.com"], ["66.220.158.68", "facebook.com"], ["978-1-118-12938-8", "alibaba.cn"], ["140.205.248.2", "dubsmash.com"], ["162.13.40.196", "nokia.com"], ["191.239.213.197", "microsoft.com"]], "sources": ["DataXFormer-benchmark/IPToDomain/ground truth.csv", "DataXFormer-benchmark/IPToDomain/source.csv", "DataXFormer-benchmark/IPToDomain/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------|
| 1066-8888 |
| 0824-3298 |
| 1806-2636 |
| 2326-5744 |
| 0893-6080 |
| 0976-2280 |
| 1350-1917 |
| 0362-5915 |
| 0036-8075 |
| 2320-2890 |
Input Table 2:
| Col_1 |
|:---------------------------------------------------|
| The VLDB Journal |
| Man and Nature |
| Acta Scientiarum Animal Sciences |
| Advances in Chemical Science |
| Neural Networks |
| International journal of Web & Semantic Technology |
| Information Systems Journal |
| TODS |
| Science Magazine |
| Biomedical Journal |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISSNToTitle", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISSNToTitle", "case": "ISSNToTitle", "label": [["1066-8888", "The VLDB Journal"], ["0824-3298", "Man and Nature"], ["1806-2636", "Acta Scientiarum Animal Sciences"], ["2326-5744", "Advances in Chemical Science"], ["0893-6080", "Neural Networks"], ["0976-2280", "International journal of Web & Semantic Technology"], ["1350-1917", "Information Systems Journal"], ["0362-5915", "TODS"], ["0036-8075", "Science Magazine"], ["2320-2890", "Biomedical Journal"]], "sources": ["DataXFormer-benchmark/ISSNToTitle/ground truth.csv", "DataXFormer-benchmark/ISSNToTitle/source.csv", "DataXFormer-benchmark/ISSNToTitle/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------|
| Ethiopia |
| United States |
| United States |
| Kenya |
| United States |
| United States |
| Mexico |
| United States |
| United States |
| United States |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Ethiopia |
| Morocco |
| Kenya |
| Kenya |
| Czech Republic |
| Cuba |
| Jamaica |
| Kenya |
| United Kingdom |
| Kenya |
| Kenya |
| East Germany |
| Ethiopia |
| United States |
| United States |
| Kenya |
| Kenya |
| Italy |
| Kenya |
| Jamaica |
| United States |
| United States |
| Kenya |
| Jamaica |
| Jamaica |
| Kenya |
| Kenya |
| Spain |
| United States |
| United States |
| France |
| Russia |
| Qatar |
| Kenya |
| Japan |
| Jamaica |
| Jamaica |
| Kenya |
| Kenya |
| Kenya |
| Jamaica |
| France |
| Soviet Union |
| Japan |
| Eritrea |
Input Table 2:
| Col_1 |
|:---------------------------|
| Abera Kuma |
| Andrew Valmon |
| Aries Merritt |
| Asbel Kiprop |
| Ashton Eaton |
| Ben Blankenship |
| Bernardo Segura |
| Brandon Johnson |
| Brycen Spratling |
| Butch Reynolds |
| Collins Cheboi |
| Daniel Komen |
| Daniel Muchunu Mwangi |
| David Rudisha |
| Dennis Kipruto Kimetto |
| Emmanuel Mutai |
| Geoffrey Kipsang Kamworor |
| Haile Gebrselassie |
| Hicham El Guerrouj |
| Ismael Kombich |
| James Kiplagat Magut |
| Jan Zelezny |
| Javier Sotomayor |
| Jermaine Brown Yohan Blake |
| John Kariuki |
| Jonathan Edwards |
| Joseph Mutua |
| Josephat Ndambiri |
| Jurgen Schult |
| Kenenisa Bekele |
| Kevin Young |
| Kyle Merber |
| Leonard Patrick Komon |
| Martin Mathathi |
| Maurizio Damilano |
| Mekubo Mogusu |
| Michael Frater |
| Michael Johnson |
| Mike Powell |
| Moses Mosop |
| Nesta Carter |
| Nickel Ashmeade |
| Noah Ngeny |
| Onesmus Nyerre |
| Paquillo Fern�ndez |
| Quincy Watts |
| Randy Barnes |
| Renaud Lavillenie |
| Roman Rasskazov |
| Saif Saaeed Shaheen |
| Silas Kiplagat |
| Takahiro Sunada |
| Usain Bolt |
| Warren Weir |
| Wilfred Bungei |
| Wilfred Kirwa Kigen |
| William Yiampoy |
| Yohan Blake |
| Yohann Diniz |
| Yuriy Sedykh |
| Yusuke Suzuki |
| Zersenay Tadese |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "WorldRecordToAthlete", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/WorldRecordToAthlete", "case": "WorldRecordToAthlete", "label": [["Ethiopia", "Abera Kuma"], ["United States", "Andrew Valmon"], ["United States", "Aries Merritt"], ["Kenya", "Asbel Kiprop"], ["United States", "Ashton Eaton"], ["United States", "Ben Blankenship"], ["Mexico", "Bernardo Segura"], ["United States", "Brandon Johnson"], ["United States", "Brycen Spratling"], ["United States", "Butch Reynolds"], ["Kenya", "Collins Cheboi"], ["Kenya", "Daniel Komen"], ["Kenya", "Daniel Muchunu Mwangi"], ["Kenya", "David Rudisha"], ["Kenya", "Dennis Kipruto Kimetto"], ["Kenya", "Emmanuel Mutai"], ["Kenya", "Geoffrey Kipsang Kamworor"], ["Ethiopia", "Haile Gebrselassie"], ["Morocco", "Hicham El Guerrouj"], ["Kenya", "Ismael Kombich"], ["Kenya", "James Kiplagat Magut"], ["Czech Republic", "Jan Zelezny"], ["Cuba", "Javier Sotomayor"], ["Jamaica", "Jermaine Brown Yohan Blake"], ["Kenya", "John Kariuki"], ["United Kingdom", "Jonathan Edwards"], ["Kenya", "Joseph Mutua"], ["Kenya", "Josephat Ndambiri"], ["East Germany", "Jurgen Schult"], ["Ethiopia", "Kenenisa Bekele"], ["United States", "Kevin Young"], ["United States", "Kyle Merber"], ["Kenya", "Leonard Patrick Komon"], ["Kenya", "Martin Mathathi"], ["Italy", "Maurizio Damilano"], ["Kenya", "Mekubo Mogusu"], ["Jamaica", "Michael Frater"], ["United States", "Michael Johnson"], ["United States", "Mike Powell"], ["Kenya", "Moses Mosop"], ["Jamaica", "Nesta Carter"], ["Jamaica", "Nickel Ashmeade"], ["Kenya", "Noah Ngeny"], ["Kenya", "Onesmus Nyerre"], ["Spain", "Paquillo Fern\ufffdndez"], ["United States", "Quincy Watts"], ["United States", "Randy Barnes"], ["France", "Renaud Lavillenie"], ["Russia", "Roman Rasskazov"], ["Qatar", "Saif Saaeed Shaheen"], ["Kenya", "Silas Kiplagat"], ["Japan", "Takahiro Sunada"], ["Jamaica", "Usain Bolt"], ["Jamaica", "Warren Weir"], ["Kenya", "Wilfred Bungei"], ["Kenya", "Wilfred Kirwa Kigen"], ["Kenya", "William Yiampoy"], ["Jamaica", "Yohan Blake"], ["France", "Yohann Diniz"], ["Soviet Union", "Yuriy Sedykh"], ["Japan", "Yusuke Suzuki"], ["Eritrea", "Zersenay Tadese"]], "sources": ["DataXFormer-benchmark/WorldRecordToAthlete/ground truth.csv", "DataXFormer-benchmark/WorldRecordToAthlete/source.csv", "DataXFormer-benchmark/WorldRecordToAthlete/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------|
| Rotterdam |
| Marseille |
| Toronto |
| Istanbul |
| Aarhus |
| Munich |
| Barcelona |
| Alexandria |
| Los Angeles |
| Krakow |
| Graz |
| Osaka |
| Reykjavik |
| Florence |
| Milan |
| Geneva |
| Vienna |
| Toulouse |
| Sofia |
| Athens |
Input Table 2:
| Col_1 |
|:--------------|
| Netherlands |
| France |
| Canada |
| Turkey |
| Denmark |
| Germany |
| Spain |
| Egypt |
| United States |
| Poland |
| Austria |
| Japan |
| Iceland |
| Italy |
| Italy |
| Switzerland |
| Austria |
| France |
| Bulgaria |
| Greece |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CityToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CityToCountry", "case": "CityToCountry", "label": [["Rotterdam", "Netherlands"], ["Marseille", "France"], ["Toronto", "Canada"], ["Istanbul", "Turkey"], ["Aarhus", "Denmark"], ["Munich", "Germany"], ["Barcelona", "Spain"], ["Alexandria", "Egypt"], ["Los Angeles", "United States"], ["Krakow", "Poland"], ["Graz", "Austria"], ["Osaka", "Japan"], ["Reykjavik", "Iceland"], ["Florence", "Italy"], ["Milan", "Italy"], ["Geneva", "Switzerland"], ["Vienna", "Austria"], ["Toulouse", "France"], ["Sofia", "Bulgaria"], ["Athens", "Greece"]], "sources": ["DataXFormer-benchmark/CityToCountry/ground truth.csv", "DataXFormer-benchmark/CityToCountry/source.csv", "DataXFormer-benchmark/CityToCountry/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| Neymar |
| Neymar |
| Messi |
| Ronaldo |
| Ronaldo |
| Neuer |
| Neuer |
| Pirlo |
| Pirlo |
| Pirlo |
Input Table 2:
| Col_1 |
|:------------------|
| FC Barcelona |
| Santos |
| FC BArcelona |
| Manchester United |
| Real Madrid |
| Bayern Munich |
| Schalke 04 |
| Juventus |
| Milan |
| Brescia |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerplayerToAllclub", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerplayerToAllclub", "case": "SoccerplayerToAllclub", "label": [["Neymar", "FC Barcelona"], ["Neymar", "Santos"], ["Messi", "FC BArcelona"], ["Ronaldo", "Manchester United"], ["Ronaldo", "Real Madrid"], ["Neuer", "Bayern Munich"], ["Neuer", "Schalke 04"], ["Pirlo", "Juventus"], ["Pirlo", "Milan"], ["Pirlo", "Brescia"]], "sources": ["DataXFormer-benchmark/SoccerplayerToAllclub/ground truth.csv", "DataXFormer-benchmark/SoccerplayerToAllclub/source.csv", "DataXFormer-benchmark/SoccerplayerToAllclub/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------|
| Jonathan Franzen |
| Jonathan Franzen |
| Jonathan Franzen |
| Jonathan Franzen |
| J. D. Salinger |
| J. D. Salinger |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| Ernest Hemingway |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| John Steinbeck |
| Rick Moody |
| Rick Moody |
| Rick Moody |
| Rick Moody |
| Rick Moody |
| David Foster Wallace |
| David Foster Wallace |
| David Foster Wallace |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
| Thomas Pynchon |
Input Table 2:
| Col_1 |
|:--------------------------------------------|
| The Twenty-Seventh City |
| Strong Motion |
| The Corrections |
| Freedom |
| The Catcher in the Rye |
| Franny and Zooey |
| The Torrents of Spring |
| The Sun Also Rises |
| A Farewell to Arms |
| To Have and Have Not |
| For Whom the Bell Tolls |
| Across the River and into the Trees |
| The Old Man and the Sea |
| Islands in the Stream |
| The Garden of Eden |
| Cup of Gold |
| To a God Unknown |
| Tortilla Flat |
| In Dubious Battle |
| The Grapes of Wrath |
| The Moon Is Down |
| Cannery Row |
| The Wayward Bus |
| East of Eden |
| Sweet Thursday |
| The Short Reign of Pippin IV: A Fabrication |
| The Winter of Our Discontent |
| Garden State |
| The Ice Storm |
| Purple America |
| The Diviners |
| The Four Fingers of Death |
| The Broom of the System |
| Infinite Jest |
| The Pale King |
| V. |
| The Crying of Lot 49 |
| Gravity's Rainbow |
| Vineland |
| Mason & Dixon |
| Against the Day |
| Inherent Vice |
| Bleeding Edge |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Author2Novels", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Author2Novels", "case": "Author2Novels", "label": [["Jonathan Franzen", "The Twenty-Seventh City\u0098"], ["Jonathan Franzen", "Strong Motion\u0098"], ["Jonathan Franzen", "The Corrections"], ["Jonathan Franzen", "Freedom"], ["J. D. Salinger", "The Catcher in the Rye"], ["J. D. Salinger", "Franny and Zooey\u0098"], ["Ernest Hemingway", "The Torrents of Spring"], ["Ernest Hemingway", "The Sun Also Rises"], ["Ernest Hemingway", "A Farewell to Arms"], ["Ernest Hemingway", "To Have and Have Not"], ["Ernest Hemingway", "For Whom the Bell Tolls"], ["Ernest Hemingway", "Across the River and into the Trees"], ["Ernest Hemingway", "The Old Man and the Sea"], ["Ernest Hemingway", "Islands in the Stream"], ["Ernest Hemingway", "The Garden of Eden"], ["John Steinbeck", "Cup of Gold"], ["John Steinbeck", "To a God Unknown"], ["John Steinbeck", "Tortilla Flat"], ["John Steinbeck", "In Dubious Battle"], ["John Steinbeck", "The Grapes of Wrath"], ["John Steinbeck", "The Moon Is Down"], ["John Steinbeck", "Cannery Row"], ["John Steinbeck", "The Wayward Bus"], ["John Steinbeck", "East of Eden"], ["John Steinbeck", "Sweet Thursday"], ["John Steinbeck", "The Short Reign of Pippin IV: A Fabrication"], ["John Steinbeck", "The Winter of Our Discontent"], ["Rick Moody", "Garden State"], ["Rick Moody", "The Ice Storm"], ["Rick Moody", "Purple America"], ["Rick Moody", "The Diviners"], ["Rick Moody", "The Four Fingers of Death"], ["David Foster Wallace", "The Broom of the System\u0098"], ["David Foster Wallace", "Infinite Jest"], ["David Foster Wallace", "The Pale King"], ["Thomas Pynchon", "V."], ["Thomas Pynchon", "The Crying of Lot 49"], ["Thomas Pynchon", "Gravity's Rainbow"], ["Thomas Pynchon", "Vineland"], ["Thomas Pynchon", "Mason & Dixon"], ["Thomas Pynchon", "Against the Day"], ["Thomas Pynchon", "Inherent Vice"], ["Thomas Pynchon", "Bleeding Edge"]], "sources": ["DataXFormer-benchmark/Author2Novels/ground truth.csv", "DataXFormer-benchmark/Author2Novels/source.csv", "DataXFormer-benchmark/Author2Novels/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| lax |
| ptj |
| mth |
| agc |
| tlh |
| hrl |
| mgc |
| lfk |
| sjc |
| cho |
| aza |
| atl |
| pdk |
| jao |
| jaj |
| fty |
| gcn |
| tmb |
| mia |
| opf |
| msp |
| pdx |
| mri |
| edf |
| anc |
| jce |
| oak |
| elp |
| ogg |
| qka |
| bfl |
| tpf |
| tpa |
| iad |
| sac |
| smf |
| ank |
| esb |
| saw |
| ist |
| gva |
| xev |
| sto |
| arn |
| bma |
| mad |
| tow |
| bcn |
| grx |
| doh |
| krk |
| rtm |
| ams |
| cjs |
| mex |
| itm |
| kix |
| osa |
| uky |
| spk |
| psa |
| bds |
| pmf |
| vce |
| lin |
| mxp |
| apf |
| nap |
| fco |
| cia |
| vic |
| bzo |
| cta |
| del |
| rkv |
| kef |
| ath |
| lej |
| muc |
| agb |
| zmu |
| bnj |
| qkl |
| cgn |
| dbt |
| ham |
| zmb |
| xfw |
| dtm |
| txl |
| thf |
| ber |
| sxf |
| cdg |
| ory |
| xrf |
| mrs |
| cai |
| ssh |
| gps |
| aar |
| cph |
| ytz |
| ybz |
| ykz |
| yyz |
| yto |
| sof |
| grz |
| aep |
| eze |
| bue |
Input Table 2:
| Col_1 |
|:--------------|
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| United States |
| Turkey |
| Turkey |
| Turkey |
| Turkey |
| Switzerland |
| Sweden |
| Sweden |
| Sweden |
| Sweden |
| Spain |
| Spain |
| Spain |
| Spain |
| Qatar |
| Poland |
| Netherlands |
| Netherlands |
| Mexico |
| Mexico |
| Japan |
| Japan |
| Japan |
| Japan |
| Japan |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| Italy |
| India |
| Iceland |
| Iceland |
| Greece |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| Germany |
| France |
| France |
| France |
| France |
| Egypt |
| Egypt |
| Ecuador |
| Denmark |
| Denmark |
| Canada |
| Canada |
| Canada |
| Canada |
| Canada |
| Bulgaria |
| Austria |
| Argentina |
| Argentina |
| Argentina |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "airportToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/airportToCountry", "case": "airportToCountry", "label": [["lax", "United States"], ["ptj", "United States"], ["mth", "United States"], ["agc", "United States"], ["tlh", "United States"], ["hrl", "United States"], ["mgc", "United States"], ["lfk", "United States"], ["sjc", "United States"], ["cho", "United States"], ["aza", "United States"], ["atl", "United States"], ["pdk", "United States"], ["jao", "United States"], ["jaj", "United States"], ["fty", "United States"], ["gcn", "United States"], ["tmb", "United States"], ["mia", "United States"], ["opf", "United States"], ["msp", "United States"], ["pdx", "United States"], ["mri", "United States"], ["edf", "United States"], ["anc", "United States"], ["jce", "United States"], ["oak", "United States"], ["elp", "United States"], ["ogg", "United States"], ["qka", "United States"], ["bfl", "United States"], ["tpf", "United States"], ["tpa", "United States"], ["iad", "United States"], ["sac", "United States"], ["smf", "United States"], ["ank", "Turkey"], ["esb", "Turkey"], ["saw", "Turkey"], ["ist", "Turkey"], ["gva", "Switzerland"], ["xev", "Sweden"], ["sto", "Sweden"], ["arn", "Sweden"], ["bma", "Sweden"], ["mad", "Spain"], ["tow", "Spain"], ["bcn", "Spain"], ["grx", "Spain"], ["doh", "Qatar"], ["krk", "Poland"], ["rtm", "Netherlands"], ["ams", "Netherlands"], ["cjs", "Mexico"], ["mex", "Mexico"], ["itm", "Japan"], ["kix", "Japan"], ["osa", "Japan"], ["uky", "Japan"], ["spk", "Japan"], ["psa", "Italy"], ["bds", "Italy"], ["pmf", "Italy"], ["vce", "Italy"], ["lin", "Italy"], ["mxp", "Italy"], ["apf", "Italy"], ["nap", "Italy"], ["fco", "Italy"], ["cia", "Italy"], ["vic", "Italy"], ["bzo", "Italy"], ["cta", "Italy"], ["del", "India"], ["rkv", "Iceland"], ["kef", "Iceland"], ["ath", "Greece"], ["lej", "Germany"], ["muc", "Germany"], ["agb", "Germany"], ["zmu", "Germany"], ["bnj", "Germany"], ["qkl", "Germany"], ["cgn", "Germany"], ["dbt", "Germany"], ["ham", "Germany"], ["zmb", "Germany"], ["xfw", "Germany"], ["dtm", "Germany"], ["txl", "Germany"], ["thf", "Germany"], ["ber", "Germany"], ["sxf", "Germany"], ["cdg", "France"], ["ory", "France"], ["xrf", "France"], ["mrs", "France"], ["cai", "Egypt"], ["ssh", "Egypt"], ["gps", "Ecuador"], ["aar", "Denmark"], ["cph", "Denmark"], ["ytz", "Canada"], ["ybz", "Canada"], ["ykz", "Canada"], ["yyz", "Canada"], ["yto", "Canada"], ["sof", "Bulgaria"], ["grz", "Austria"], ["aep", "Argentina"], ["eze", "Argentina"], ["bue", "Argentina"]], "sources": ["DataXFormer-benchmark/airportToCountry/ground truth.csv", "DataXFormer-benchmark/airportToCountry/source.csv", "DataXFormer-benchmark/airportToCountry/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------|
| Antonio Di Natale |
| Rafael Marquez |
| Sebastian Kehl |
| Carles Puyol |
| Florent Malouda |
| Fabio Cannavaro |
| Luizao |
| Nicolas Anelka |
| Cristiano Zanetti |
| Massimo Oddo |
| Benito Carbone |
| Jared Borgetti |
| Alex |
| Martin Petrov |
| El Hadji Diouf |
| David Trezeguet |
| Milenko Acimovic |
| Anders Andersson |
| Mikael Forssell |
| Tore Andre Flo |
| Wilfred Bouma |
| Marco Di Vaio |
| Angelo Peruzzi |
| Fredrik Ljungberg |
| Igor Tudor |
| Cuauhtemoc Blanco |
| Sebastian Abreu |
| Gaizka Mendieta |
| Alvaro Recoba |
| Leandro Romagnoli |
| Steven Pienaar |
| Stefano Fiore |
| Anders Svensson |
| Jan Kromkamp |
| Simone Perrotta |
| Les Ferdinand |
| Santiago Ca?izares |
| Bobby Robson |
| Roberto Baggio |
| Gary Neville |
| Danny Murphy |
| Sebastien Frey |
| Brad Friedel |
| Danny Mills |
| Ricardo Carvalho |
| Vincenzo Montella |
| Sol Campbell |
| Luis Gonzalez |
| Laurent Blanc |
| Mauro Galvao |
| Ryan Babel |
| Gianluca Zambrotta |
| Alessandro Nesta |
| Kolo Toure |
| Diego Forlan |
| Andrea Pirlo |
| Marco Materazzi |
| Ashley Cole |
| Fernando Torres |
| Iker Casillas |
| Petr Cech |
| Frank Lampard |
| Claudio Reyna |
| Phil Neville |
| Kieran Richardson |
| Vincenzo Iaquinta |
| Ronaldinho |
| Quinton Fortune |
| Michel Platini |
| Fernando Cavenaghi |
| Hidetoshi Nakata |
| Jonathan Woodgate |
| Fabricio Coloccini |
| Emmanuel Olisadebe |
| Hakan Yakin |
| Kaka |
| Dennis Rommedahl |
| Stewart Downing |
| Ronaldo |
| Harry Kewell |
| Arjen Robben |
| Kahveci Nihat |
| Jerzy Dudek |
| Zinedine Zidane |
| Giovane Elber |
| Vincent Candela |
| Juan Pablo Angel |
| Wayne Rooney |
| Mauro Rosales |
| Diego Placente |
| Shunsuke Nakamura |
| Christian Wilhelmsson |
| Lionel Messi |
| Dino Baggio |
| Robinho |
| Shaun Wright Phillips |
| Jamie Redknapp |
| Fabian Carini |
| Pierre Wome |
| Luca Toni |
| Michael Ballack |
| Ricardo Quaresma |
| Dmitry Alenichev |
| Kakha Kaladze |
| Raul Gonzalez |
| Jose Luis Chilavert |
| Sidney Govou |
| Deco |
| Francesco Totti |
| Marko Babic |
| Milan Baros |
| Obafemi Martins |
| Diego Ribas da Cunha |
| Stephane Chapuisat |
| Michael Carrick |
| Edwin Van der Sar |
| Ryan Giggs |
| Enrico Chiesa |
| Kieron Dyer |
| Ernesto Farias |
| Juninho Pernambucano |
| Peter Crouch |
| Dimitar Berbatov |
| Abel Xavier |
| Fabian Ernst |
| Umit Davala |
| Pavel Nedved |
| Andy Van der Meyde |
| Denis Irwin |
| Eddie Johnson |
| Philippe Christanval |
Input Table 2:
| Col_1 |
|:-----------|
| 13/10/1977 |
| 13/2/1979 |
| 13/2/1980 |
| 13/4/1978 |
| 13/6/1980 |
| 13/9/1973 |
| 14/11/1975 |
| 14/3/1979 |
| 14/4/1977 |
| 14/6/1976 |
| 14/8/1971 |
| 14/8/1974 |
| 14/9/1977 |
| 15/1/1979 |
| 15/1/1981 |
| 15/10/1977 |
| 15/2/1977 |
| 15/3/1974 |
| 15/3/1981 |
| 15/6/1973 |
| 15/6/1978 |
| 15/7/1976 |
| 16/2/1970 |
| 16/4/1977 |
| 16/4/1978 |
| 17/1/1973 |
| 17/10/1976 |
| 17/3/1974 |
| 17/3/1976 |
| 17/3/1981 |
| 17/3/1982 |
| 17/4/1975 |
| 17/7/1976 |
| 17/8/1980 |
| 17/9/1977 |
| 18/12/1966 |
| 18/12/1969 |
| 18/2/1933 |
| 18/2/1967 |
| 18/2/1975 |
| 18/3/1977 |
| 18/3/1980 |
| 18/5/1971 |
| 18/5/1977 |
| 18/5/1978 |
| 18/6/1974 |
| 18/9/1974 |
| 19/1/1981 |
| 19/11/1965 |
| 19/12/1961 |
| 19/12/1986 |
| 19/2/1977 |
| 19/3/1976 |
| 19/3/1981 |
| 19/5/1979 |
| 19/5/1979 |
| 19/8/1973 |
| 20/12/1980 |
| 20/3/1984 |
| 20/5/1981 |
| 20/5/1982 |
| 20/6/1978 |
| 20/7/1973 |
| 21/1/1977 |
| 21/10/1984 |
| 21/11/1979 |
| 21/3/1980 |
| 21/5/1977 |
| 21/6/1955 |
| 21/9/1983 |
| 22/1/1977 |
| 22/1/1980 |
| 22/1/1982 |
| 22/12/1978 |
| 22/2/1977 |
| 22/4/1982 |
| 22/7/1978 |
| 22/7/1984 |
| 22/9/1976 |
| 22/9/1978 |
| 23/1/1984 |
| 23/11/1979 |
| 23/3/1973 |
| 23/6/1972 |
| 23/7/1972 |
| 24/10/1973 |
| 24/10/1975 |
| 24/10/1985 |
| 24/2/1981 |
| 24/4/1977 |
| 24/6/1978 |
| 24/6/1987 |
| 24/6/1987 |
| 24/7/1971 |
| 25/1/1984 |
| 25/10/1981 |
| 25/6/1973 |
| 26/12/1979 |
| 26/3/1979 |
| 26/5/1977 |
| 26/9/1976 |
| 26/9/1983 |
| 27/10/1972 |
| 27/2/1978 |
| 27/6/1977 |
| 27/7/1965 |
| 27/7/1979 |
| 27/8/1977 |
| 27/9/1976 |
| 28/1/1981 |
| 28/10/1981 |
| 28/10/1984 |
| 28/2/1985 |
| 28/6/1969 |
| 28/7/1981 |
| 29/10/1970 |
| 29/11/1973 |
| 29/12/1970 |
| 29/12/1978 |
| 29/5/1980 |
| 30/1/1975 |
| 30/1/1981 |
| 30/1/1981 |
| 30/11/1972 |
| 30/5/1979 |
| 30/7/1973 |
| 30/8/1972 |
| 30/9/1979 |
| 31/10/1965 |
| 31/3/1984 |
| 31/8/1978 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerPlayer2Birthdate", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerPlayer2Birthdate", "case": "SoccerPlayer2Birthdate", "label": [["Antonio Di Natale", "13/10/1977"], ["Rafael Marquez", "13/2/1979"], ["Sebastian Kehl", "13/2/1980"], ["Carles Puyol", "13/4/1978"], ["Florent Malouda", "13/6/1980"], ["Fabio Cannavaro", "13/9/1973"], ["Luizao", "14/11/1975"], ["Nicolas Anelka", "14/3/1979"], ["Cristiano Zanetti", "14/4/1977"], ["Massimo Oddo", "14/6/1976"], ["Benito Carbone", "14/8/1971"], ["Jared Borgetti", "14/8/1974"], ["Alex", "14/9/1977"], ["Martin Petrov", "15/1/1979"], ["El Hadji Diouf", "15/1/1981"], ["David Trezeguet", "15/10/1977"], ["Milenko Acimovic", "15/2/1977"], ["Anders Andersson", "15/3/1974"], ["Mikael Forssell", "15/3/1981"], ["Tore Andre Flo", "15/6/1973"], ["Wilfred Bouma", "15/6/1978"], ["Marco Di Vaio", "15/7/1976"], ["Angelo Peruzzi", "16/2/1970"], ["Fredrik Ljungberg", "16/4/1977"], ["Igor Tudor", "16/4/1978"], ["Cuauhtemoc Blanco", "17/1/1973"], ["Sebastian Abreu", "17/10/1976"], ["Gaizka Mendieta", "17/3/1974"], ["Alvaro Recoba", "17/3/1976"], ["Leandro Romagnoli", "17/3/1981"], ["Steven Pienaar", "17/3/1982"], ["Stefano Fiore", "17/4/1975"], ["Anders Svensson", "17/7/1976"], ["Jan Kromkamp", "17/8/1980"], ["Simone Perrotta", "17/9/1977"], ["Les Ferdinand", "18/12/1966"], ["Santiago Ca?izares", "18/12/1969"], ["Bobby Robson", "18/2/1933"], ["Roberto Baggio", "18/2/1967"], ["Gary Neville", "18/2/1975"], ["Danny Murphy", "18/3/1977"], ["Sebastien Frey", "18/3/1980"], ["Brad Friedel", "18/5/1971"], ["Danny Mills", "18/5/1977"], ["Ricardo Carvalho", "18/5/1978"], ["Vincenzo Montella", "18/6/1974"], ["Sol Campbell", "18/9/1974"], ["Luis Gonzalez", "19/1/1981"], ["Laurent Blanc", "19/11/1965"], ["Mauro Galvao", "19/12/1961"], ["Ryan Babel", "19/12/1986"], ["Gianluca Zambrotta", "19/2/1977"], ["Alessandro Nesta", "19/3/1976"], ["Kolo Toure", "19/3/1981"], ["Diego Forlan", "19/5/1979"], ["Andrea Pirlo", "19/5/1979"], ["Marco Materazzi", "19/8/1973"], ["Ashley Cole", "20/12/1980"], ["Fernando Torres", "20/3/1984"], ["Iker Casillas", "20/5/1981"], ["Petr Cech", "20/5/1982"], ["Frank Lampard", "20/6/1978"], ["Claudio Reyna", "20/7/1973"], ["Phil Neville", "21/1/1977"], ["Kieran Richardson", "21/10/1984"], ["Vincenzo Iaquinta", "21/11/1979"], ["Ronaldinho", "21/3/1980"], ["Quinton Fortune", "21/5/1977"], ["Michel Platini", "21/6/1955"], ["Fernando Cavenaghi", "21/9/1983"], ["Hidetoshi Nakata", "22/1/1977"], ["Jonathan Woodgate", "22/1/1980"], ["Fabricio Coloccini", "22/1/1982"], ["Emmanuel Olisadebe", "22/12/1978"], ["Hakan Yakin", "22/2/1977"], ["Kaka", "22/4/1982"], ["Dennis Rommedahl", "22/7/1978"], ["Stewart Downing", "22/7/1984"], ["Ronaldo", "22/9/1976"], ["Harry Kewell", "22/9/1978"], ["Arjen Robben", "23/1/1984"], ["Kahveci Nihat", "23/11/1979"], ["Jerzy Dudek", "23/3/1973"], ["Zinedine Zidane", "23/6/1972"], ["Giovane Elber", "23/7/1972"], ["Vincent Candela", "24/10/1973"], ["Juan Pablo Angel", "24/10/1975"], ["Wayne Rooney", "24/10/1985"], ["Mauro Rosales", "24/2/1981"], ["Diego Placente", "24/4/1977"], ["Shunsuke Nakamura", "24/6/1978"], ["Christian Wilhelmsson", "24/6/1987"], ["Lionel Messi", "24/6/1987"], ["Dino Baggio", "24/7/1971"], ["Robinho", "25/1/1984"], ["Shaun Wright Phillips", "25/10/1981"], ["Jamie Redknapp", "25/6/1973"], ["Fabian Carini", "26/12/1979"], ["Pierre Wome", "26/3/1979"], ["Luca Toni", "26/5/1977"], ["Michael Ballack", "26/9/1976"], ["Ricardo Quaresma", "26/9/1983"], ["Dmitry Alenichev", "27/10/1972"], ["Kakha Kaladze", "27/2/1978"], ["Raul Gonzalez", "27/6/1977"], ["Jose Luis Chilavert", "27/7/1965"], ["Sidney Govou", "27/7/1979"], ["Deco", "27/8/1977"], ["Francesco Totti", "27/9/1976"], ["Marko Babic", "28/1/1981"], ["Milan Baros", "28/10/1981"], ["Obafemi Martins", "28/10/1984"], ["Diego Ribas da Cunha", "28/2/1985"], ["Stephane Chapuisat", "28/6/1969"], ["Michael Carrick", "28/7/1981"], ["Edwin Van der Sar", "29/10/1970"], ["Ryan Giggs", "29/11/1973"], ["Enrico Chiesa", "29/12/1970"], ["Kieron Dyer", "29/12/1978"], ["Ernesto Farias", "29/5/1980"], ["Juninho Pernambucano", "30/1/1975"], ["Peter Crouch", "30/1/1981"], ["Dimitar Berbatov", "30/1/1981"], ["Abel Xavier", "30/11/1972"], ["Fabian Ernst", "30/5/1979"], ["Umit Davala", "30/7/1973"], ["Pavel Nedved", "30/8/1972"], ["Andy Van der Meyde", "30/9/1979"], ["Denis Irwin", "31/10/1965"], ["Eddie Johnson", "31/3/1984"], ["Philippe Christanval", "31/8/1978"]], "sources": ["DataXFormer-benchmark/SoccerPlayer2Birthdate/ground truth.csv", "DataXFormer-benchmark/SoccerPlayer2Birthdate/source.csv", "DataXFormer-benchmark/SoccerPlayer2Birthdate/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------|
| Kangchenjunga |
| K2 |
| Mount Everest |
| Mount Everest |
| K2 |
| Kangchenjunga |
| Broad Peak |
| Gasherbrum I |
| Makalu |
| Cho Oyu |
| Lhotse |
| Lhotse |
| Makalu |
| Cho Oyu |
| Dhaulagiri |
| Manaslu |
| Nanga Parbat |
| Annapurna |
| Gasherbrum I |
| Broad Peak |
| Gasherbrum IV |
| Gasherbrum III |
| Gyachung Kang |
| Gasherbrum II |
| Gasherbrum II |
| Shishapangma |
| Gyachung Kang |
| Gasherbrum III |
| Annapurna II |
| Gasherbrum IV |
| Himalchuli |
| Saltoro Kangri |
| Distaghil Sar |
| Chomo Lonzo |
| Ngadi Chuli |
| Nuptse |
| Khunyang Chhish |
| Masherbrum |
| Nanda Devi |
| Chomo Lonzo |
| Batura Sar |
| Kanjut Sar |
| Rakaposhi |
| Namcha Barwa |
| Batura II |
| Kamet |
| Saltoro Kangri |
| Batura III |
| Kongur Tagh |
| Jannu |
| Molamenqing |
| Gurla Mandhata |
| Tirich Mir |
| Saser Kangri |
| Chogolisa |
| Shispare |
| Changtse |
| Trivor |
| Gangkhar Puensum |
| Gangkhar Puensum |
| Gongga Shan |
| Annapurna III |
| Kula Kangri |
| Chogolisa II |
| Muztagh Ata |
| Skyang Kangri |
| Skyang Kangri |
| Yukshin Gardan Sar |
| Annapurna IV |
| Mamostong Kangri |
| Ismoil Somoni Peak |
| Noshaq |
| Pumari Chhish |
| Passu Sar |
| Malubiting |
| Gangapurna |
| Kabru |
| Ghent Kangri |
| Jengish Chokusu |
| K12 |
| Jengish Chokusu |
| K12 |
| Istor-o-Nal |
| Ghent Kangri |
| Haramosh Peak |
| Kabru |
| Ultar |
| Labuche Kang |
| Rimo I |
| Sherpi Kangri |
| Labuche Kang |
| Jomolhari /Chomolhari |
| Gimmigela Chuli |
| Kirat Chuli |
| Kirat Chuli |
| Skil Brum |
| Gimmigela Chuli |
| Bojohagur Duanasir |
| Chamlang |
| Jomolhari /Chomolhari |
| Baltoro Kangri |
| Siguang Ri |
| The Crown |
| Gyala Peri |
| Porong Ri |
| Baintha Brakk |
| Yutmaru Sar |
| K6 |
| Kangpenqing |
| Mana Peak |
| Muztagh Tower |
| Diran |
| Apsarasas Kangri |
| Langtang Lirung |
| Khartaphu |
| Tongshanjiabu |
| Langtang Ri |
| Kangphu Kang |
| Annapurna South |
| Melungtse |
| Liushi Shan |
| Baruntse |
| Pumori |
| Nemjung |
| Udren Zom |
| Nun Kun |
| Tilicho Peak |
| Gauri Sankar |
| Lenin Peak |
| Api |
| Pauhunri |
| Korzhenevskaya |
| Lunpo Gangri |
| Tirsuli |
| Dunagiri |
| Kangto |
| Nyegyi Kansang |
| Kezhen Peak |
| Shah Dhar |
| Spantik |
| Khan Tengri |
| Shah Dhar |
| Kangto |
| Nyegyi Kansang |
| Pauhunri |
| Gauri Sankar |
| Lenin Peak |
| Khan Tengri |
Input Table 2:
| Col_1 |
|:--------------------|
| India |
| China |
| China |
| Nepal |
| Pakistan |
| Nepal |
| China |
| China |
| Nepal |
| Nepal |
| Nepal |
| China |
| China |
| China |
| Nepal |
| Nepal |
| Pakistan |
| Nepal |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| China |
| China |
| Pakistan |
| China |
| Nepal |
| Pakistan |
| Nepal |
| China |
| Nepal |
| Pakistan |
| Pakistan |
| China |
| Nepal |
| Nepal |
| Pakistan |
| Pakistan |
| India |
| Nepal |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| Pakistan |
| India |
| India |
| Pakistan |
| China |
| Nepal |
| China |
| China |
| Pakistan |
| India |
| Pakistan |
| Pakistan |
| China |
| Pakistan |
| China |
| Bhutan |
| China |
| Nepal |
| China |
| Pakistan |
| China |
| China |
| Pakistan |
| Pakistan |
| Nepal |
| India |
| Tajikistan |
| Afghanistan |
| Pakistan |
| Pakistan |
| Pakistan |
| Nepal |
| Nepal |
| Pakistan |
| China |
| Pakistan |
| Kyrgyzstan |
| India |
| Pakistan |
| India |
| Pakistan |
| India |
| Pakistan |
| China |
| India |
| Pakistan |
| Nepal |
| China |
| Nepal |
| Nepal |
| India |
| Pakistan |
| India |
| Pakistan |
| Nepal |
| Bhutan |
| Pakistan |
| China |
| China |
| China |
| China |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| India |
| Pakistan |
| Pakistan |
| China/India |
| Nepal |
| China |
| Bhutan/China |
| Nepal/China (Tibet) |
| Bhutan/China |
| Nepal |
| China |
| China |
| Nepal |
| Nepal |
| Nepal |
| Pakistan |
| India |
| Nepal |
| Nepal |
| Kyrgyzstan |
| Nepal |
| India |
| Tajikistan |
| China |
| India |
| India |
| China |
| China |
| China |
| Afghanistan |
| Pakistan |
| Kazakhstan |
| Pakistan |
| India |
| India |
| China |
| China |
| Tajikistan |
| Kyrgyzstan |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Mountain7k2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Mountain7k2Countries", "case": "Mountain7k2Countries", "label": [["Kangchenjunga", "India"], ["K2", "China"], ["Mount Everest", "China"], ["Mount Everest", "Nepal"], ["K2", "Pakistan"], ["Kangchenjunga", "Nepal"], ["Broad Peak", "China"], ["Gasherbrum I", "China"], ["Makalu", "Nepal"], ["Cho Oyu", "Nepal"], ["Lhotse", "Nepal"], ["Lhotse", "China"], ["Makalu", "China"], ["Cho Oyu", "China"], ["Dhaulagiri", "Nepal"], ["Manaslu", "Nepal"], ["Nanga Parbat", "Pakistan"], ["Annapurna", "Nepal"], ["Gasherbrum I", "Pakistan"], ["Broad Peak", "Pakistan"], ["Gasherbrum IV", "Pakistan"], ["Gasherbrum III", "China"], ["Gyachung Kang", "China"], ["Gasherbrum II", "China"], ["Gasherbrum II", "Pakistan"], ["Shishapangma", "China"], ["Gyachung Kang", "Nepal"], ["Gasherbrum III", "Pakistan"], ["Annapurna II", "Nepal"], ["Gasherbrum IV", "China"], ["Himalchuli", "Nepal"], ["Saltoro Kangri", "Pakistan"], ["Distaghil Sar", "Pakistan"], ["Chomo Lonzo", "China"], ["Ngadi Chuli", "Nepal"], ["Nuptse", "Nepal"], ["Khunyang Chhish", "Pakistan"], ["Masherbrum", "Pakistan"], ["Nanda Devi", "India"], ["Chomo Lonzo", "Nepal"], ["Batura Sar", "Pakistan"], ["Kanjut Sar", "Pakistan"], ["Rakaposhi", "Pakistan"], ["Namcha Barwa", "China"], ["Batura II", "Pakistan"], ["Kamet", "India"], ["Saltoro Kangri", "India"], ["Batura III", "Pakistan"], ["Kongur Tagh", "China"], ["Jannu", "Nepal"], ["Molamenqing", "China"], ["Gurla Mandhata", "China"], ["Tirich Mir", "Pakistan"], ["Saser Kangri", "India"], ["Chogolisa", "Pakistan"], ["Shispare", "Pakistan"], ["Changtse", "China"], ["Trivor", "Pakistan"], ["Gangkhar Puensum", "China"], ["Gangkhar Puensum", "Bhutan"], ["Gongga Shan", "China"], ["Annapurna III", "Nepal"], ["Kula Kangri", "China"], ["Chogolisa II", "Pakistan"], ["Muztagh Ata", "China"], ["Skyang Kangri", "China"], ["Skyang Kangri", "Pakistan"], ["Yukshin Gardan Sar", "Pakistan"], ["Annapurna IV", "Nepal"], ["Mamostong Kangri", "India"], ["Ismoil Somoni Peak", "Tajikistan"], ["Noshaq", "Afghanistan"], ["Pumari Chhish", "Pakistan"], ["Passu Sar", "Pakistan"], ["Malubiting", "Pakistan"], ["Gangapurna", "Nepal"], ["Kabru", "Nepal"], ["Ghent Kangri", "Pakistan"], ["Jengish Chokusu", "China"], ["K12", "Pakistan"], ["Jengish Chokusu", "Kyrgyzstan"], ["K12", "India"], ["Istor-o-Nal", "Pakistan"], ["Ghent Kangri", "India"], ["Haramosh Peak", "Pakistan"], ["Kabru", "India"], ["Ultar", "Pakistan"], ["Labuche Kang", "China"], ["Rimo I", "India"], ["Sherpi Kangri", "Pakistan"], ["Labuche Kang", "Nepal"], ["Jomolhari\u00a0/Chomolhari", "China"], ["Gimmigela Chuli", "Nepal"], ["Kirat Chuli", "Nepal"], ["Kirat Chuli", "India"], ["Skil Brum", "Pakistan"], ["Gimmigela Chuli", "India"], ["Bojohagur Duanasir", "Pakistan"], ["Chamlang", "Nepal"], ["Jomolhari\u00a0/Chomolhari", "Bhutan"], ["Baltoro Kangri", "Pakistan"], ["Siguang Ri", "China"], ["The Crown", "China"], ["Gyala Peri", "China"], ["Porong Ri", "China"], ["Baintha Brakk", "Pakistan"], ["Yutmaru Sar", "Pakistan"], ["K6", "Pakistan"], ["Kangpenqing", "China"], ["Mana Peak", "India"], ["Muztagh Tower", "Pakistan"], ["Diran", "Pakistan"], ["Apsarasas Kangri", "China/India"], ["Langtang Lirung", "Nepal"], ["Khartaphu", "China"], ["Tongshanjiabu", "Bhutan/China"], ["Langtang Ri", "Nepal/China (Tibet)"], ["Kangphu Kang", "Bhutan/China"], ["Annapurna South", "Nepal"], ["Melungtse", "China"], ["Liushi Shan", "China"], ["Baruntse", "Nepal"], ["Pumori", "Nepal"], ["Nemjung", "Nepal"], ["Udren Zom", "Pakistan"], ["Nun Kun", "India"], ["Tilicho Peak", "Nepal"], ["Gauri Sankar", "Nepal"], ["Lenin Peak", "Kyrgyzstan"], ["Api", "Nepal"], ["Pauhunri", "India"], ["Korzhenevskaya", "Tajikistan"], ["Lunpo Gangri", "China"], ["Tirsuli", "India"], ["Dunagiri", "India"], ["Kangto", "China"], ["Nyegyi Kansang", "China"], ["Kezhen Peak", "China"], ["Shah Dhar", "Afghanistan"], ["Spantik", "Pakistan"], ["Khan Tengri", "Kazakhstan"], ["Shah Dhar", "Pakistan"], ["Kangto", "India"], ["Nyegyi Kansang", "India"], ["Pauhunri", "China"], ["Gauri Sankar", "China"], ["Lenin Peak", "Tajikistan"], ["Khan Tengri", "Kyrgyzstan"]], "sources": ["DataXFormer-benchmark/Mountain7k2Countries/ground truth.csv", "DataXFormer-benchmark/Mountain7k2Countries/source.csv", "DataXFormer-benchmark/Mountain7k2Countries/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------|
| Actinium |
| Aluminum |
| Americium |
| Antimony |
| Argon |
| Arsenic |
| Astatine |
| Barium |
| Beryllium |
| Bismuth |
| Boron |
| Bromine |
| Cadmium |
| Calcium |
| Carbon |
| Cerium |
| Cesium |
| Chlorine |
| Chromium |
| Cobalt |
| Copper |
| Dysprosium |
| Erbium |
| Europium |
| Fluorine |
| Francium |
| Gadolinium |
| Gallium |
| Germanium |
| Gold |
| Hafnium |
| Helium |
| Holmium |
| Hydrogen |
| Indium |
| Iodine |
| Iridium |
| Iron |
| Krypton |
| Lanthanum |
Input Table 2:
| Col_1 |
|--------:|
| 3200 |
| 2467 |
| 2607 |
| 1750 |
| -186 |
| 613 |
| 337 |
| 1140 |
| 2970 |
| 1560 |
| 2550 |
| 59 |
| 765 |
| 1484 |
| 4827 |
| 3257 |
| 678 |
| -35 |
| 2672 |
| 2870 |
| 2567 |
| 2562 |
| 2510 |
| 1597 |
| -188 |
| 677 |
| 3233 |
| 2403 |
| 2830 |
| 2807 |
| 5400 |
| -269 |
| 2720 |
| -253 |
| 2000 |
| 184 |
| 4527 |
| 2750 |
| -153 |
| 3469 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ElementToBP", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ElementToBP", "case": "ElementToBP", "label": [["Actinium", 3200], ["Aluminum", 2467], ["Americium", 2607], ["Antimony", 1750], ["Argon", -186], ["Arsenic", 613], ["Astatine", 337], ["Barium", 1140], ["Beryllium", 2970], ["Bismuth", 1560], ["Boron", 2550], ["Bromine", 59], ["Cadmium", 765], ["Calcium", 1484], ["Carbon", 4827], ["Cerium", 3257], ["Cesium", 678], ["Chlorine", -35], ["Chromium", 2672], ["Cobalt", 2870], ["Copper", 2567], ["Dysprosium", 2562], ["Erbium", 2510], ["Europium", 1597], ["Fluorine", -188], ["Francium", 677], ["Gadolinium", 3233], ["Gallium", 2403], ["Germanium", 2830], ["Gold", 2807], ["Hafnium", 5400], ["Helium", -269], ["Holmium", 2720], ["Hydrogen", -253], ["Indium", 2000], ["Iodine", 184], ["Iridium", 4527], ["Iron", 2750], ["Krypton", -153], ["Lanthanum", 3469]], "sources": ["DataXFormer-benchmark/ElementToBP/ground truth.csv", "DataXFormer-benchmark/ElementToBP/source.csv", "DataXFormer-benchmark/ElementToBP/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------|
| Oracle |
| IBM |
| Microsoft |
| GM |
| GE |
| Bank of America |
| Staples |
| Starbucks |
| Nokia |
| Dell |
Input Table 2:
| Col_1 |
|:--------------------|
| IT Software |
| IT Hardware |
| IT Software |
| Automobile |
| Electricity |
| Finance |
| office supply chain |
| Coffee shop |
| Telecommunications |
| IT Services |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToIndustry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToIndustry", "case": "CompanyToIndustry", "label": [["Oracle", "IT Software"], ["IBM", "IT Hardware"], ["Microsoft", "IT Software"], ["GM", "Automobile"], ["GE", "Electricity"], ["Bank of America", "Finance"], ["Staples", "office supply chain"], ["Starbucks", "Coffee shop"], ["Nokia", "Telecommunications"], ["Dell", "IT Services"]], "sources": ["DataXFormer-benchmark/CompanyToIndustry/ground truth.csv", "DataXFormer-benchmark/CompanyToIndustry/source.csv", "DataXFormer-benchmark/CompanyToIndustry/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------------------|
| Platoon |
| American Beauty |
| Rocky IV |
| The Blues Brothers |
| Memento |
| Up in the Air |
| Four weedings and a funeral |
| Alien: Resurrection |
| Pulp Fiction |
| Fight Club |
| American History X |
Input Table 2:
| Col_1 |
|--------:|
| 1986 |
| 1999 |
| 1985 |
| 1980 |
| 2000 |
| 2009 |
| 1994 |
| 1997 |
| 1994 |
| 1999 |
| 1998 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Movie2year", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Movie2year", "case": "Movie2year", "label": [["Platoon", 1986], ["American Beauty", 1999], ["Rocky IV", 1985], ["The Blues Brothers", 1980], ["Memento", 2000], ["Up in the Air", 2009], ["Four weedings and a funeral", 1994], ["Alien: Resurrection", 1997], ["Pulp Fiction", 1994], ["Fight Club", 1999], ["American History X", 1998]], "sources": ["DataXFormer-benchmark/Movie2year/ground truth.csv", "DataXFormer-benchmark/Movie2year/source.csv", "DataXFormer-benchmark/Movie2year/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------|
| 0-553-10354-7 |
| 1501260049 |
| 0-688-03036-X |
| 978-0374275631 |
| 033036426X |
| 9.78055E+12 |
| 978-1-118-12938-8 |
| 978-3-642-29575-1 |
| 978-0451476807 |
| 978-0312427986 |
Input Table 2:
| Col_1 |
|:--------------------------------------------------------|
| George R. R. Martin |
| CLAYTON M. CHRISTENSEN |
| John Irving |
| Daniel Kehlmann |
| Markus Zusak |
| David A. Vise and Mark Malseed |
| Abraham Silberschatz and Peter B. Galvin and Greg Gagne |
| Hasso Plattner and Alexander Zeier |
| Ken Follet |
| Mario Vargas Llosa |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISBNToAuthor", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISBNToAuthor", "case": "ISBNToAuthor", "label": [["0-553-10354-7", "George R. R. Martin"], ["1501260049", "CLAYTON M. CHRISTENSEN"], ["0-688-03036-X", "John Irving"], ["978-0374275631", "Daniel Kehlmann"], ["033036426X", "Markus Zusak"], ["9.78055E+12", "David A. Vise and Mark Malseed"], ["978-1-118-12938-8", "Abraham Silberschatz and Peter B. Galvin and Greg Gagne"], ["978-3-642-29575-1", "Hasso Plattner and Alexander Zeier"], ["978-0451476807", "Ken Follet"], ["978-0312427986", "Mario Vargas Llosa"]], "sources": ["DataXFormer-benchmark/ISBNToAuthor/ground truth.csv", "DataXFormer-benchmark/ISBNToAuthor/source.csv", "DataXFormer-benchmark/ISBNToAuthor/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| #ffb6c1 |
| #333333 |
| #d52b1e |
| #306860 |
| #045ca2 |
| #fed100 |
| #000000 |
| #999999 |
| #123456 |
| #000fff |
Input Table 2:
| Col_1 |
|:------------|
| (255182193) |
| (515151) |
| (2134330) |
| (4810496) |
| (492162) |
| (2542090) |
| (000) |
| (153153153) |
| (185286) |
| (015255) |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "HexCodeToRGB", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/HexCodeToRGB", "case": "HexCodeToRGB", "label": [["#ffb6c1", "(255182193)"], ["#333333", "(515151)"], ["#d52b1e", "(2134330)"], ["#306860", "(4810496)"], ["#045ca2", "(492162)"], ["#fed100", "(2542090)"], ["#000000", "(000)"], ["#999999", "(153153153)"], ["#123456", "(185286)"], ["#000fff", "(015255)"]], "sources": ["DataXFormer-benchmark/HexCodeToRGB/ground truth.csv", "DataXFormer-benchmark/HexCodeToRGB/source.csv", "DataXFormer-benchmark/HexCodeToRGB/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------|
| New York City |
| New York City |
| Chicago |
| Chicago |
| Chicago |
| Houston |
| Houston |
| Los Angeles |
| Chicago |
| Hong Kong |
| Chicago |
| Hong Kong |
| Atlanta |
| Shenzhen |
| Guangzhou |
| Kaohsiung |
| Bangkok |
| Kuala Lumpur |
| Kuala Lumpur |
| Hong Kong |
| Shanghai |
| Dubai |
| Dubai |
| Dubai |
| Kuala Lumpur |
| Riyadh |
| Hong Kong |
| Taipei |
| Shanghai |
| Gold Coast |
| Dubai |
| Hong Kong |
| New York City |
| Doha |
| Shanghai |
| Wuhan |
| Wuhan |
| Dubai |
| Chicago |
| New York City |
| Dubai |
| Beijing |
| Kuwait City |
| Dubai |
| Hong Kong |
| Nanjing |
| Guangzhou |
| Tianjin |
| Dubai |
| Wenzhou |
| Dubai |
| Dubai |
| Incheon |
| Moscow |
| Shenzhen |
| Kuwait City |
| Dubai |
| Hanoi |
| Huaxi Village |
| Guangzhou |
| Abu Dhabi |
| Guangzhou |
| Busan |
| Mecca |
| Dubai |
| Dubai |
| Dubai |
| Guangzhou |
| Dubai |
| Dubai |
| Moscow |
| Abu Dhabi |
| Shenyang |
| London |
| Shenzhen |
| Santiago |
| Changzhou |
| Dubai |
| Nanjing |
| Riyadh |
| Dubai |
| New York City |
| New York |
| New York City |
| Wuxi |
| Chongqing |
| Wuxi |
| Wuxi |
| Shenzhen |
| Osaka |
| Nanjing |
| Moscow |
| Jinan |
| Nanchang |
| Nanchang |
| Suzhou |
| Pyongyang |
Input Table 2:
| Col_1 |
|:---------------------------------------------------------|
| Chrysler Building |
| Empire State Building |
| John Hancock Center |
| Aon Center |
| Willis Tower |
| JPMorgan Chase Tower |
| Wells Fargo Plaza |
| U.S. Bank Tower |
| Franklin Center |
| Bank of China Tower |
| Two Prudential Plaza |
| Central Plaza |
| Bank of America Plaza |
| Shun Hing Square |
| CITIC Plaza |
| Tuntex Sky Tower |
| Baiyoke Tower II |
| Petronas Tower 1 |
| Petronas Tower 2 |
| The Center |
| Jin Mao Tower |
| Burj Al Arab |
| Emirates Office Tower |
| Jumeirah Emirates Towers Hotel |
| Menara Telekom |
| Kingdom Centre |
| Two International Finance Centre |
| Taipei 101 |
| Shimao International Plaza |
| Q1 |
| Rose Tower |
| Nina Tower |
| New York Times Building |
| Aspire Tower |
| Shanghai World Financial Center |
| Minsheng Bank Building |
| Wuhan World Trade Tower |
| The Address Downtown Burj Khalifa |
| Trump International Hotel and Tower |
| Bank of America Tower |
| Almas Tower |
| China World Trade Center Tower 3 |
| Arraya 2 |
| Burj Khalifa |
| International Commerce Centre The Ritz-Carlton Hong Kong |
| Zifeng Tower |
| Guangzhou International Finance Center |
| Tianjin World Financial Center |
| The Index |
| Wenzhou World Trade Center |
| HHHR Tower |
| Ocean Heights |
| Northeast Asia Trade Tower |
| Moscow Tower |
| KK100 |
| Al Hamra Tower |
| The Marina Torch |
| Keangnam Hanoi Landmark Tower |
| Longxi International Hotel |
| Pearl River Tower |
| Etihad Tower 2 |
| Leatop Plaza |
| We've the Zenith Tower A |
| Abraj Al-Bait Clock Tower |
| Princess Tower |
| 23 Marina |
| Elite Residence |
| The Pinnacle |
| JW Marriott Marquis Dubai Tower 1 |
| JW Marriott Marquis Dubai Tower 2 |
| Mercury City Tower |
| The Landmark |
| Moi Center |
| The Shard |
| East Pacific Center Tower A |
| Gran Torre Santiago |
| Modern Media Center |
| Al Yaqoub Tower |
| Deji Plaza Phase 2 |
| Burj Rafal |
| Cayan Tower |
| One57 |
| Trump World Tower |
| One World Trade Center |
| The Wharf Times Square |
| Chongqing World Financial Center |
| Wuxi Suning Plaza 1 |
| Wuxi Maoye City - Marriott Hotel |
| Heung Kong Tower |
| Abeno Harukas |
| Nanjing International Youth Cultural Centre Tower 1 |
| Stalnaya Vershina |
| Greenland Puli Center |
| Jiangxi Nanchang Greenland Central Plaza 1 |
| Jiangxi Nanchang Greenland Central Plaza 2 |
| Gate of the Orient |
| Ryugyong Hotel |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "City2TallBuildings", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/City2TallBuildings", "case": "City2TallBuildings", "label": [["New York City", "Chrysler Building"], ["New York City", "Empire State Building"], ["Chicago", "John Hancock Center"], ["Chicago", "Aon Center"], ["Chicago", "Willis Tower"], ["Houston", "JPMorgan Chase Tower"], ["Houston", "Wells Fargo Plaza"], ["Los Angeles", "U.S. Bank Tower"], ["Chicago", "Franklin Center"], ["Hong Kong", "Bank of China Tower"], ["Chicago", "Two Prudential Plaza"], ["Hong Kong", "Central Plaza"], ["Atlanta", "Bank of America Plaza"], ["Shenzhen", "Shun Hing Square"], ["Guangzhou", "CITIC Plaza"], ["Kaohsiung", "Tuntex Sky Tower"], ["Bangkok", "Baiyoke Tower II"], ["Kuala Lumpur", "Petronas Tower 1"], ["Kuala Lumpur", "Petronas Tower 2"], ["Hong Kong", "The Center"], ["Shanghai", "Jin Mao Tower"], ["Dubai", "Burj Al Arab"], ["Dubai", "Emirates Office Tower"], ["Dubai", "Jumeirah Emirates Towers Hotel"], ["Kuala Lumpur", "Menara Telekom"], ["Riyadh", "Kingdom Centre"], ["Hong Kong", "Two International Finance Centre"], ["Taipei", "Taipei 101"], ["Shanghai", "Shimao International Plaza"], ["Gold Coast", "Q1"], ["Dubai", "Rose Tower"], ["Hong Kong", "Nina Tower"], ["New York City", "New York Times Building"], ["Doha", "Aspire Tower"], ["Shanghai", "Shanghai World Financial Center"], ["Wuhan", "Minsheng Bank Building"], ["Wuhan", "Wuhan World Trade Tower"], ["Dubai", "The Address Downtown Burj Khalifa"], ["Chicago", "Trump International Hotel and Tower"], ["New York City", "Bank of America Tower"], ["Dubai", "Almas Tower"], ["Beijing", "China World Trade Center Tower 3"], ["Kuwait City", "Arraya 2"], ["Dubai", "Burj Khalifa"], ["Hong Kong", "International Commerce Centre The Ritz-Carlton Hong Kong"], ["Nanjing", "Zifeng Tower"], ["Guangzhou", "Guangzhou International Finance Center"], ["Tianjin", "Tianjin World Financial Center"], ["Dubai", "The Index"], ["Wenzhou", "Wenzhou World Trade Center"], ["Dubai", "HHHR Tower"], ["Dubai", "Ocean Heights"], ["Incheon", "Northeast Asia Trade Tower"], ["Moscow", "Moscow Tower"], ["Shenzhen", "KK100"], ["Kuwait City", "Al Hamra Tower"], ["Dubai", "The Marina Torch"], ["Hanoi", "Keangnam Hanoi Landmark Tower"], ["Huaxi Village", "Longxi International Hotel"], ["Guangzhou", "Pearl River Tower"], ["Abu Dhabi", "Etihad Tower 2"], ["Guangzhou", "Leatop Plaza"], ["Busan", "We've the Zenith Tower A"], ["Mecca", "Abraj Al-Bait Clock Tower"], ["Dubai", "Princess Tower"], ["Dubai", "23 Marina"], ["Dubai", "Elite Residence"], ["Guangzhou", "The Pinnacle"], ["Dubai", "JW Marriott Marquis Dubai Tower 1"], ["Dubai", "JW Marriott Marquis Dubai Tower 2"], ["Moscow", "Mercury City Tower"], ["Abu Dhabi", "The Landmark"], ["Shenyang", "Moi Center"], ["London", "The Shard"], ["Shenzhen", "East Pacific Center Tower A"], ["Santiago", "Gran Torre Santiago"], ["Changzhou", "Modern Media Center"], ["Dubai", "Al Yaqoub Tower"], ["Nanjing", "Deji Plaza Phase 2"], ["Riyadh", "Burj Rafal"], ["Dubai", "Cayan Tower"], ["New York City", "One57"], ["New York", "Trump World Tower"], ["New York City", "One World Trade Center"], ["Wuxi", "The Wharf Times Square"], ["Chongqing", "Chongqing World Financial Center"], ["Wuxi", "Wuxi Suning Plaza 1"], ["Wuxi", "Wuxi Maoye City - Marriott Hotel"], ["Shenzhen", "Heung Kong Tower"], ["Osaka", "Abeno Harukas"], ["Nanjing", "Nanjing International Youth Cultural Centre Tower 1"], ["Moscow", "Stalnaya Vershina"], ["Jinan", "Greenland Puli Center"], ["Nanchang", "Jiangxi Nanchang Greenland Central Plaza 1"], ["Nanchang", "Jiangxi Nanchang Greenland Central Plaza 2"], ["Suzhou", "Gate of the Orient"], ["Pyongyang", "Ryugyong Hotel"]], "sources": ["DataXFormer-benchmark/City2TallBuildings/ground truth.csv", "DataXFormer-benchmark/City2TallBuildings/source.csv", "DataXFormer-benchmark/City2TallBuildings/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------|
| Ethiopia |
| United States |
| United States |
| Kenya |
| United States |
| United States |
| Mexico |
| United States |
| United States |
| United States |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Kenya |
| Ethiopia |
| Morocco |
| Kenya |
| Kenya |
| Czech Republic |
| Cuba |
| Jamaica |
| Kenya |
| United Kingdom |
| Kenya |
| Kenya |
| East Germany |
| Ethiopia |
| United States |
| United States |
| Kenya |
| Kenya |
| Italy |
| Kenya |
| Jamaica |
| United States |
| United States |
| Kenya |
| Jamaica |
| Jamaica |
| Kenya |
| Kenya |
| Spain |
| United States |
| United States |
| France |
| Russia |
| Qatar |
| Kenya |
| Japan |
| Jamaica |
| Jamaica |
| Kenya |
| Kenya |
| Kenya |
| Jamaica |
| France |
| Soviet Union |
| Japan |
| Eritrea |
Input Table 2:
| Col_1 |
|:---------------------------|
| Abera Kuma |
| Andrew Valmon |
| Aries Merritt |
| Asbel Kiprop |
| Ashton Eaton |
| Ben Blankenship |
| Bernardo Segura |
| Brandon Johnson |
| Brycen Spratling |
| Butch Reynolds |
| Collins Cheboi |
| Daniel Komen |
| Daniel Muchunu Mwangi |
| David Rudisha |
| Dennis Kipruto Kimetto |
| Emmanuel Mutai |
| Geoffrey Kipsang Kamworor |
| Haile Gebrselassie |
| Hicham El Guerrouj |
| Ismael Kombich |
| James Kiplagat Magut |
| Jan Zelezny |
| Javier Sotomayor |
| Jermaine Brown Yohan Blake |
| John Kariuki |
| Jonathan Edwards |
| Joseph Mutua |
| Josephat Ndambiri |
| Jurgen Schult |
| Kenenisa Bekele |
| Kevin Young |
| Kyle Merber |
| Leonard Patrick Komon |
| Martin Mathathi |
| Maurizio Damilano |
| Mekubo Mogusu |
| Michael Frater |
| Michael Johnson |
| Mike Powell |
| Moses Mosop |
| Nesta Carter |
| Nickel Ashmeade |
| Noah Ngeny |
| Onesmus Nyerre |
| Paquillo Fern�ndez |
| Quincy Watts |
| Randy Barnes |
| Renaud Lavillenie |
| Roman Rasskazov |
| Saif Saaeed Shaheen |
| Silas Kiplagat |
| Takahiro Sunada |
| Usain Bolt |
| Warren Weir |
| Wilfred Bungei |
| Wilfred Kirwa Kigen |
| William Yiampoy |
| Yohan Blake |
| Yohann Diniz |
| Yuriy Sedykh |
| Yusuke Suzuki |
| Zersenay Tadese |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AthletesHoldingWorldRecordsPerCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AthletesHoldingWorldRecordsPerCountry", "case": "AthletesHoldingWorldRecordsPerCountry", "label": [["Ethiopia", "Abera Kuma"], ["United States", "Andrew Valmon"], ["United States", "Aries Merritt"], ["Kenya", "Asbel Kiprop"], ["United States", "Ashton Eaton"], ["United States", "Ben Blankenship"], ["Mexico", "Bernardo Segura"], ["United States", "Brandon Johnson"], ["United States", "Brycen Spratling"], ["United States", "Butch Reynolds"], ["Kenya", "Collins Cheboi"], ["Kenya", "Daniel Komen"], ["Kenya", "Daniel Muchunu Mwangi"], ["Kenya", "David Rudisha"], ["Kenya", "Dennis Kipruto Kimetto"], ["Kenya", "Emmanuel Mutai"], ["Kenya", "Geoffrey Kipsang Kamworor"], ["Ethiopia", "Haile Gebrselassie"], ["Morocco", "Hicham El Guerrouj"], ["Kenya", "Ismael Kombich"], ["Kenya", "James Kiplagat Magut"], ["Czech Republic", "Jan Zelezny"], ["Cuba", "Javier Sotomayor"], ["Jamaica", "Jermaine Brown Yohan Blake"], ["Kenya", "John Kariuki"], ["United Kingdom", "Jonathan Edwards"], ["Kenya", "Joseph Mutua"], ["Kenya", "Josephat Ndambiri"], ["East Germany", "Jurgen Schult"], ["Ethiopia", "Kenenisa Bekele"], ["United States", "Kevin Young"], ["United States", "Kyle Merber"], ["Kenya", "Leonard Patrick Komon"], ["Kenya", "Martin Mathathi"], ["Italy", "Maurizio Damilano"], ["Kenya", "Mekubo Mogusu"], ["Jamaica", "Michael Frater"], ["United States", "Michael Johnson"], ["United States", "Mike Powell"], ["Kenya", "Moses Mosop"], ["Jamaica", "Nesta Carter"], ["Jamaica", "Nickel Ashmeade"], ["Kenya", "Noah Ngeny"], ["Kenya", "Onesmus Nyerre"], ["Spain", "Paquillo Fern\ufffdndez"], ["United States", "Quincy Watts"], ["United States", "Randy Barnes"], ["France", "Renaud Lavillenie"], ["Russia", "Roman Rasskazov"], ["Qatar", "Saif Saaeed Shaheen"], ["Kenya", "Silas Kiplagat"], ["Japan", "Takahiro Sunada"], ["Jamaica", "Usain Bolt"], ["Jamaica", "Warren Weir"], ["Kenya", "Wilfred Bungei"], ["Kenya", "Wilfred Kirwa Kigen"], ["Kenya", "William Yiampoy"], ["Jamaica", "Yohan Blake"], ["France", "Yohann Diniz"], ["Soviet Union", "Yuriy Sedykh"], ["Japan", "Yusuke Suzuki"], ["Eritrea", "Zersenay Tadese"]], "sources": ["DataXFormer-benchmark/AthletesHoldingWorldRecordsPerCountry/ground truth.csv", "DataXFormer-benchmark/AthletesHoldingWorldRecordsPerCountry/source.csv", "DataXFormer-benchmark/AthletesHoldingWorldRecordsPerCountry/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Everest |
| K2 |
| Kangchenjunga |
| Lhotse |
| Makalu |
| Cho Oyu |
| Dhaulagiri |
| Manaslu |
| Nanga Parbat |
| Annapurna |
| Gasherbrum I |
| Broad Peak |
| Gasherbrum II |
| Shishapangma |
| Gyachung Kang |
| Gasherbrum III |
| Annapurna II |
| Gasherbrum IV |
| Himalchuli |
| Distaghil Sar |
| Ngadi Chuli |
| Nuptse |
| Khunyang Chhish |
| Masherbrum |
| Nanda Devi |
| Chomo Lonzo |
| Batura Sar |
| Kanjut Sar |
| Rakaposhi |
| Namcha Barwa |
| Batura II |
| Kamet |
| Saltoro Kangri |
| Batura III |
| Kongur Tagh |
| Jannu |
| Molamenqing |
| Gurla Mandhata |
| Tirich Mir |
| Saser Kangri |
| Chogolisa |
| Shispare |
| Changtse |
| Trivor |
| Gangkhar Puensum |
| Gongga Shan |
| Annapurna III |
| Kula Kangri |
| Chogolisa II |
| Muztagh Ata |
| Skyang Kangri |
| Yukshin Gardan Sar |
| Annapurna IV |
| Mamostong Kangri |
| Ismoil Somoni Peak |
| Noshaq |
| Pumari Chhish |
| Passu Sar |
| Malubiting |
| Gangapurna |
| Jengish Chokusu |
| K12 |
| Istor-o-Nal |
| Ghent Kangri |
| Haramosh Peak |
| Kabru |
| Ultar |
| Rimo I |
| Sherpi Kangri |
| Labuche Kang |
| Kirat Chuli |
| Skil Brum |
| Gimmigela Chuli |
| Bojohagur Duanasir |
| Chamlang |
| JomolhariĺĘ/Chomolhari |
| Baltoro Kangri |
| Siguang Ri |
| The Crown |
| Gyala Peri |
| Porong Ri |
| Baintha Brakk |
| Yutmaru Sar |
| K6 |
| Kangpenqing |
| Mana Peak |
| Muztagh Tower |
| Diran |
| Apsarasas Kangri |
| Langtang Lirung |
| Khartaphu |
| Tongshanjiabu |
| Langtang Ri |
| Kangphu Kang |
| Annapurna South |
| Melungtse |
| Liushi Shan |
| Baruntse |
| Pumori |
| Nemjung |
| Udren Zom |
| Nun Kun |
| Tilicho Peak |
| Gauri Sankar |
| Lenin Peak |
| Api |
| Pauhunri |
| Korzhenevskaya |
| Lunpo Gangri |
| Tirsuli |
| Dunagiri |
| Kangto |
| Nyegyi Kansang |
| Kezhen Peak |
| Shah Dhar |
| Spantik |
| Khan Tengri |
Input Table 2:
| Col_1 |
|--------:|
| 29029 |
| 28251 |
| 28169 |
| 27940 |
| 27762 |
| 26906 |
| 26795 |
| 26759 |
| 26657 |
| 26545 |
| 26470 |
| 26401 |
| 26362 |
| 26286 |
| 26089 |
| 26070 |
| 26040 |
| 26024 |
| 25896 |
| 25869 |
| 25823 |
| 25791 |
| 25761 |
| 25659 |
| 25643 |
| 25604 |
| 25574 |
| 25558 |
| 25551 |
| 25531 |
| 25466 |
| 25446 |
| 25400 |
| 25358 |
| 25325 |
| 25295 |
| 25295 |
| 25243 |
| 25230 |
| 25171 |
| 25148 |
| 24970 |
| 24879 |
| 24859 |
| 24836 |
| 24790 |
| 24787 |
| 24783 |
| 24783 |
| 24757 |
| 24754 |
| 24705 |
| 24688 |
| 24659 |
| 24590 |
| 24580 |
| 24580 |
| 24528 |
| 24469 |
| 24459 |
| 24406 |
| 24370 |
| 24288 |
| 24281 |
| 24268 |
| 24259 |
| 24239 |
| 24229 |
| 24213 |
| 24170 |
| 24163 |
| 24147 |
| 24114 |
| 24045 |
| 24012 |
| 23996 |
| 23990 |
| 23976 |
| 23934 |
| 23930 |
| 23924 |
| 23901 |
| 23894 |
| 23891 |
| 23888 |
| 23858 |
| 23862 |
| 23809 |
| 23770 |
| 23711 |
| 23665 |
| 23645 |
| 23638 |
| 23635 |
| 23684 |
| 23560 |
| 23514 |
| 23497 |
| 23494 |
| 23425 |
| 23425 |
| 23409 |
| 23406 |
| 23406 |
| 23406 |
| 23399 |
| 23386 |
| 23310 |
| 23278 |
| 23209 |
| 23182 |
| 23163 |
| 23120 |
| 23091 |
| 23091 |
| 23054 |
| 22999 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "MountainsOver7k2feet", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/MountainsOver7k2feet", "case": "MountainsOver7k2feet", "label": [["Everest", 29029], ["K2", 28251], ["Kangchenjunga", 28169], ["Lhotse", 27940], ["Makalu", 27762], ["Cho Oyu", 26906], ["Dhaulagiri", 26795], ["Manaslu", 26759], ["Nanga Parbat", 26657], ["Annapurna", 26545], ["Gasherbrum I", 26470], ["Broad Peak", 26401], ["Gasherbrum II", 26362], ["Shishapangma", 26286], ["Gyachung Kang", 26089], ["Gasherbrum III", 26070], ["Annapurna II", 26040], ["Gasherbrum IV", 26024], ["Himalchuli", 25896], ["Distaghil Sar", 25869], ["Ngadi Chuli", 25823], ["Nuptse", 25791], ["Khunyang Chhish", 25761], ["Masherbrum", 25659], ["Nanda Devi", 25643], ["Chomo Lonzo", 25604], ["Batura Sar", 25574], ["Kanjut Sar", 25558], ["Rakaposhi", 25551], ["Namcha Barwa", 25531], ["Batura II", 25466], ["Kamet", 25446], ["Saltoro Kangri", 25400], ["Batura III", 25358], ["Kongur Tagh", 25325], ["Jannu", 25295], ["Molamenqing", 25295], ["Gurla Mandhata", 25243], ["Tirich Mir", 25230], ["Saser Kangri", 25171], ["Chogolisa", 25148], ["Shispare", 24970], ["Changtse", 24879], ["Trivor", 24859], ["Gangkhar Puensum", 24836], ["Gongga Shan", 24790], ["Annapurna III", 24787], ["Kula Kangri", 24783], ["Chogolisa II", 24783], ["Muztagh Ata", 24757], ["Skyang Kangri", 24754], ["Yukshin Gardan Sar", 24705], ["Annapurna IV", 24688], ["Mamostong Kangri", 24659], ["Ismoil Somoni Peak", 24590], ["Noshaq", 24580], ["Pumari Chhish", 24580], ["Passu Sar", 24528], ["Malubiting", 24469], ["Gangapurna", 24459], ["Jengish Chokusu", 24406], ["K12", 24370], ["Istor-o-Nal", 24288], ["Ghent Kangri", 24281], ["Haramosh Peak", 24268], ["Kabru", 24259], ["Ultar", 24239], ["Rimo I", 24229], ["Sherpi Kangri", 24213], ["Labuche Kang", 24170], ["Kirat Chuli", 24163], ["Skil Brum", 24147], ["Gimmigela Chuli", 24114], ["Bojohagur Duanasir", 24045], ["Chamlang", 24012], ["Jomolhari\u013a\u0118/Chomolhari", 23996], ["Baltoro Kangri", 23990], ["Siguang Ri", 23976], ["The Crown", 23934], ["Gyala Peri", 23930], ["Porong Ri", 23924], ["Baintha Brakk", 23901], ["Yutmaru Sar", 23894], ["K6", 23891], ["Kangpenqing", 23888], ["Mana Peak", 23858], ["Muztagh Tower", 23862], ["Diran", 23809], ["Apsarasas Kangri", 23770], ["Langtang Lirung", 23711], ["Khartaphu", 23665], ["Tongshanjiabu", 23645], ["Langtang Ri", 23638], ["Kangphu Kang", 23635], ["Annapurna South", 23684], ["Melungtse", 23560], ["Liushi Shan", 23514], ["Baruntse", 23497], ["Pumori", 23494], ["Nemjung", 23425], ["Udren Zom", 23425], ["Nun Kun", 23409], ["Tilicho Peak", 23406], ["Gauri Sankar", 23406], ["Lenin Peak", 23406], ["Api", 23399], ["Pauhunri", 23386], ["Korzhenevskaya", 23310], ["Lunpo Gangri", 23278], ["Tirsuli", 23209], ["Dunagiri", 23182], ["Kangto", 23163], ["Nyegyi Kansang", 23120], ["Kezhen Peak", 23091], ["Shah Dhar", 23091], ["Spantik", 23054], ["Khan Tengri", 22999]], "sources": ["DataXFormer-benchmark/MountainsOver7k2feet/ground truth.csv", "DataXFormer-benchmark/MountainsOver7k2feet/source.csv", "DataXFormer-benchmark/MountainsOver7k2feet/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Golden State Warriors |
| Boston Celtics |
| San Antonio Spurs |
| Los Angeles Lakers |
| Utah Jazz |
| Los Angeles Clippers |
| Memphis Grizzlies |
| Miami Heat |
| Toronto Raptors |
| Dallas Mavericks |
| Houston Rockets |
| Chicago Bulls |
| Cleveland Cavaliers |
| Orlando Magic |
| Detroit Pistons |
| Milwaukee Bucks |
| Charlotte Bobcats |
| Sacramento Kings |
| Minnesota Timberwolves |
Input Table 2:
| Col_1 |
|:----------------|
| Mark Jackson |
| Doc Rivers |
| Gregg Popovich |
| Mike DˈAntoni |
| Tyrone Corbin |
| Vinny Del Negro |
| Lionel Hollins |
| Erik Spoelstra |
| Dwane Casey |
| Rick Carlisle |
| Kevin McHale |
| Tom Thibodeau |
| Byron Scott |
| Jacque Vaughn |
| Lawrence Frank |
| Jim Boylan |
| Mike Dunlap |
| Keith Smart |
| Rick Adelman |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "TeamToCoach", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/TeamToCoach", "case": "TeamToCoach", "label": [["Golden State Warriors", "Mark Jackson"], ["Boston Celtics", "Doc Rivers"], ["San Antonio Spurs", "Gregg Popovich"], ["Los Angeles Lakers", "Mike D\u02c8Antoni"], ["Utah Jazz", "Tyrone Corbin"], ["Los Angeles Clippers", "Vinny Del Negro"], ["Memphis Grizzlies", "Lionel Hollins"], ["Miami Heat", "Erik Spoelstra"], ["Toronto Raptors", "Dwane Casey"], ["Dallas Mavericks", "Rick Carlisle"], ["Houston Rockets", "Kevin McHale"], ["Chicago Bulls", "Tom Thibodeau"], ["Cleveland Cavaliers", "Byron Scott"], ["Orlando Magic", "Jacque Vaughn"], ["Detroit Pistons", "Lawrence Frank"], ["Milwaukee Bucks", "Jim Boylan"], ["Charlotte Bobcats", "Mike Dunlap"], ["Sacramento Kings", "Keith Smart"], ["Minnesota Timberwolves", "Rick Adelman"]], "sources": ["DataXFormer-benchmark/TeamToCoach/ground truth.csv", "DataXFormer-benchmark/TeamToCoach/source.csv", "DataXFormer-benchmark/TeamToCoach/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------|
| Real Madrid C.F. |
| F.C. Barcelona |
| Atletico de Madrid |
| Paris Saint-Germain F.C. |
| A.C. Milan |
| Internazionale |
| A.S. Roma |
| S.S. Lazio |
| Arsenal F.C. |
| Tottenham Hotspur F.C. |
| Manchester United F.C. |
| Manchester City F.C. |
| U.C. Sampdoria |
| Genoa C.F.C. |
| Liverpool F.C. |
| FC Steaua Bucuresti |
| Red Star Belgrade |
| S.S.C. Napoli |
| Rayo Vallecano |
| A.C. Chievo Verona |
| Olympique Lyonnais |
| Olympique de Marseille |
| R.S.C. Anderlecht |
| Chelsea F.C. |
| Fluminense FC |
| Club Atletico River Plate |
| Boca Juniors |
| Juventus F.C. |
Input Table 2:
| Col_1 |
|:--------------------------------------------|
| Santiago Bernabeu |
| Camp Nou |
| Vicente Calderón |
| Parc des princes |
| San Siro |
| San Siro |
| Olimpico |
| Olimpico |
| Emirates Stadium |
| White Hart Lane |
| Old Trafford |
| Etihad Stadium |
| Ferraris |
| Ferraris |
| Anfield |
| Stadionul Steaua |
| Rajko Mitic |
| San Paolo |
| Campo de Futbol de Vallecas |
| Bentegodi |
| Stade de Gerland |
| Stade Vélodrome |
| Constant Vanden Stock Stadium |
| Stamford Bridge |
| Maracana |
| Estadio Monumental Antonio Vespucio Liberti |
| La Bombonera |
| Juventus Stadium |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "soccerTeam2Arena", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/soccerTeam2Arena", "case": "soccerTeam2Arena", "label": [["Real Madrid C.F.", "Santiago Bernabeu"], ["F.C. Barcelona", "Camp Nou"], ["Atletico de Madrid", "Vicente Calder\u00f3n"], ["Paris Saint-Germain F.C.", "Parc des princes"], ["A.C. Milan", "San Siro"], ["Internazionale", "San Siro"], ["A.S. Roma", "Olimpico"], ["S.S. Lazio", "Olimpico"], ["Arsenal F.C.", "Emirates Stadium"], ["Tottenham Hotspur F.C.", "White Hart Lane"], ["Manchester United F.C.", "Old Trafford"], ["Manchester City F.C.", "Etihad Stadium"], ["U.C. Sampdoria", "Ferraris"], ["Genoa C.F.C.", "Ferraris"], ["Liverpool F.C.", "Anfield"], ["FC Steaua Bucuresti", "Stadionul Steaua"], ["Red Star Belgrade", "Rajko Mitic"], ["S.S.C. Napoli", "San Paolo"], ["Rayo Vallecano", "Campo de Futbol de Vallecas"], ["A.C. Chievo Verona", "Bentegodi"], ["Olympique Lyonnais", "Stade de Gerland"], ["Olympique de Marseille", "Stade V\u00e9lodrome"], ["R.S.C. Anderlecht", "Constant Vanden Stock Stadium"], ["Chelsea F.C.", "Stamford Bridge"], ["Fluminense FC", "Maracana"], ["Club Atletico River Plate", "Estadio Monumental Antonio Vespucio Liberti"], ["Boca Juniors", "La Bombonera"], ["Juventus F.C.", "Juventus Stadium"]], "sources": ["DataXFormer-benchmark/soccerTeam2Arena/ground truth.csv", "DataXFormer-benchmark/soccerTeam2Arena/source.csv", "DataXFormer-benchmark/soccerTeam2Arena/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------|
| feet |
| pound |
| fahrenheit |
| ounces |
| inch |
| acre |
| gallon |
| barrel |
| pint |
Input Table 2:
| Col_1 |
|:-----------|
| meter |
| kilo gram |
| celcius |
| gram |
| centimeter |
| hectar |
| liter |
| liter |
| liter |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "USStandardToMetric", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/USStandardToMetric", "case": "USStandardToMetric", "label": [["feet", "meter"], ["pound", "kilo gram"], ["fahrenheit", "celcius"], ["ounces", "gram"], ["inch", "centimeter"], ["acre", "hectar"], ["gallon", "liter"], ["barrel", "liter"], ["pint", "liter"]], "sources": ["DataXFormer-benchmark/USStandardToMetric/ground truth.csv", "DataXFormer-benchmark/USStandardToMetric/source.csv", "DataXFormer-benchmark/USStandardToMetric/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------|
| Albert |
| Athabasca |
| Baikal |
| Balkhash |
| Caspian Sea |
| Caspian Sea |
| Caspian Sea |
| Caspian Sea |
| Caspian Sea |
| Erie |
| Erie |
| Great Bear Lake |
| Great Salt Lake |
| Great Slave Lake |
| Huron |
| Huron |
| Issyk-Kul |
| Khanka |
| Khanka |
| Ladoga |
| Lake of the Woods |
| Lake of the Woods |
| Malawi |
| Malawi |
| Malawi |
| Manitoba |
| Michigan |
| Mweru |
| Mweru |
| Nettilling |
| Nicaragua |
| Nipigon |
| Onega |
| Ontario |
| Ontario |
| Qinghai Lake |
| Reindeer Lake |
| Saimaa |
| Superior |
| Superior |
| Tanganyika |
| Tanganyika |
| Tanganyika |
| Tanganyika |
| Taymyr |
| Titicaca |
| Titicaca |
| Turkana |
| Turkana |
| Urmia |
| Victoria |
| Victoria |
| Victoria |
| Vostok |
| V„nern |
| Winnipeg |
| Winnipegosis |
Input Table 2:
| Col_1 |
|:---------------------------------|
| Democratic Republic of the Congo |
| Canada |
| Russia |
| Kazakhstan |
| Kazakhstan |
| Russia |
| Turkmenistan |
| Azerbaijan |
| Iran |
| Canada |
| United States |
| Canada |
| United States |
| Canada |
| Canada |
| United States |
| Kyrgyzstan |
| China |
| Russia |
| Russia |
| Canada |
| United States |
| Malawi |
| Mozambique |
| Tanzania |
| Canada |
| United States |
| Zambia |
| Democratic Republic of the Congo |
| Canada |
| Nicaragua |
| Canada |
| Russia |
| Canada |
| United States |
| China |
| Canada |
| Finland |
| Canada |
| United States |
| Burundi |
| Tanzania |
| Zambia |
| Democratic Republic of the Congo |
| Russia |
| Peru |
| Bolivia |
| Ethiopia |
| Kenya |
| Iran |
| Uganda |
| Kenya |
| Tanzania |
| Antarctica |
| Sweden |
| Canada |
| Canada |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Lake2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Lake2Countries", "case": "Lake2Countries", "label": [["Albert", "Democratic Republic of the Congo"], ["Athabasca", "Canada"], ["Baikal", "Russia"], ["Balkhash", "Kazakhstan"], ["Caspian Sea", "Kazakhstan"], ["Caspian Sea", "Russia"], ["Caspian Sea", "Turkmenistan"], ["Caspian Sea", "Azerbaijan"], ["Caspian Sea", "Iran"], ["Erie", "Canada"], ["Erie", "United States"], ["Great Bear Lake", "Canada"], ["Great Salt Lake", "United States"], ["Great Slave Lake", "Canada"], ["Huron", "Canada"], ["Huron", "United States"], ["Issyk-Kul", "Kyrgyzstan"], ["Khanka", "China"], ["Khanka", "Russia"], ["Ladoga", "Russia"], ["Lake of the Woods", "Canada"], ["Lake of the Woods", "United States"], ["Malawi", "Malawi"], ["Malawi", "Mozambique"], ["Malawi", "Tanzania"], ["Manitoba", "Canada"], ["Michigan", "United States"], ["Mweru", "Zambia"], ["Mweru", "Democratic Republic of the Congo"], ["Nettilling", "Canada"], ["Nicaragua", "Nicaragua"], ["Nipigon", "Canada"], ["Onega", "Russia"], ["Ontario", "Canada"], ["Ontario", "United States"], ["Qinghai Lake", "China"], ["Reindeer Lake", "Canada"], ["Saimaa", "Finland"], ["Superior", "Canada"], ["Superior", "United States"], ["Tanganyika", "Burundi"], ["Tanganyika", "Tanzania"], ["Tanganyika", "Zambia"], ["Tanganyika", "Democratic Republic of the Congo"], ["Taymyr", "Russia"], ["Titicaca", "Peru"], ["Titicaca", "Bolivia"], ["Turkana", "Ethiopia"], ["Turkana", "Kenya"], ["Urmia", "Iran"], ["Victoria", "Uganda"], ["Victoria", "Kenya"], ["Victoria", "Tanzania"], ["Vostok", "Antarctica"], ["V\u201enern", "Sweden"], ["Winnipeg", "Canada"], ["Winnipegosis", "Canada"]], "sources": ["DataXFormer-benchmark/Lake2Countries/ground truth.csv", "DataXFormer-benchmark/Lake2Countries/source.csv", "DataXFormer-benchmark/Lake2Countries/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:---------------------------------|
| Afghanistan |
| Albania |
| Algeria |
| American Samoa |
| Andorra |
| Angola |
| Anguilla |
| Antarctica |
| Antigua and Barbuda |
| Argentina |
| Armenia |
| Aruba |
| Australia |
| Austria |
| Azerbaijan |
| Bahamas |
| Bahrain |
| Bangladesh |
| Barbados |
| Belarus |
| Belgium |
| Belize |
| Benin |
| Bermuda |
| Bhutan |
| Bolivia |
| Bosnia and Herzegovina |
| Botswana |
| Brazil |
| British Indian Ocean Territory |
| British Virgin Islands |
| Brunei |
| Bulgaria |
| Burkina Faso |
| Burundi |
| Cambodia |
| Cameroon |
| Canada |
| Cape Verde |
| Cayman Islands |
| Central African Republic |
| Chad |
| Chile |
| China |
| Christmas Island |
| Cocos Islands |
| Colombia |
| Comoros |
| Cook Islands |
| Costa Rica |
| Croatia |
| Cuba |
| Curacao |
| Cyprus |
| Czech Republic |
| Democratic Republic of the Congo |
| Denmark |
| Djibouti |
| Dominica |
| Dominican Republic |
| East Timor |
| Ecuador |
| Egypt |
| El Salvador |
| Equatorial Guinea |
| Eritrea |
| Estonia |
| Ethiopia |
| Falkland Islands |
| Faroe Islands |
| Fiji |
| Finland |
| France |
| French Polynesia |
| Gabon |
| Gambia |
| Georgia |
| Germany |
| Ghana |
| Gibraltar |
| Greece |
| Greenland |
| Grenada |
| Guam |
| Guatemala |
| Guernsey |
| Guinea |
| Guinea-Bissau |
| Guyana |
| Haiti |
| Honduras |
| Hong Kong |
| Hungary |
| Iceland |
| India |
| Indonesia |
| Iran |
| Iraq |
| Ireland |
| Isle of Man |
| Israel |
| Italy |
| Ivory Coast |
| Jamaica |
| Japan |
| Jersey |
| Jordan |
| Kazakhstan |
| Kenya |
| Kiribati |
| Kosovo |
| Kuwait |
| Kyrgyzstan |
| Laos |
| Latvia |
| Lebanon |
| Lesotho |
| Liberia |
| Libya |
| Liechtenstein |
| Lithuania |
| Luxembourg |
| Macao |
| Macedonia |
| Madagascar |
| Malawi |
| Malaysia |
| Maldives |
| Mali |
| Malta |
| Marshall Islands |
| Mauritania |
| Mauritius |
| Mayotte |
| Mexico |
| Micronesia |
| Moldova |
| Monaco |
| Mongolia |
| Montenegro |
| Montserrat |
| Morocco |
| Mozambique |
| Myanmar |
| Namibia |
| Nauru |
| Nepal |
| Netherlands |
| Netherlands Antilles |
| New Caledonia |
| New Zealand |
| Nicaragua |
| Niger |
| Nigeria |
| Niue |
| North Korea |
| Northern Mariana Islands |
| Norway |
| Oman |
| Pakistan |
| Palau |
| Palestine |
| Panama |
| Papua New Guinea |
| Paraguay |
| Peru |
| Philippines |
| Pitcairn |
| Poland |
| Portugal |
| Puerto Rico |
| Qatar |
| Republic of the Congo |
| Reunion |
| Romania |
| Russia |
| Rwanda |
| Saint Barthelemy |
| Saint Helena |
| Saint Kitts and Nevis |
| Saint Lucia |
| Saint Martin |
| Saint Pierre and Miquelon |
| Saint Vincent and the Grenadines |
| Samoa |
| San Marino |
| Sao Tome and Principe |
| Saudi Arabia |
| Senegal |
| Serbia |
| Seychelles |
| Sierra Leone |
| Singapore |
| Sint Maarten |
| Slovakia |
| Slovenia |
| Solomon Islands |
| Somalia |
| South Africa |
| South Korea |
| South Sudan |
| Spain |
| Sri Lanka |
| Sudan |
| Suriname |
| Svalbard and Jan Mayen |
| Swaziland |
| Sweden |
| Switzerland |
| Syria |
| Taiwan |
| Tajikistan |
| Tanzania |
| Thailand |
| Togo |
| Tokelau |
| Tonga |
| Trinidad and Tobago |
| Tunisia |
| Turkey |
| Turkmenistan |
| Turks and Caicos Islands |
| Tuvalu |
| U.S. Virgin Islands |
| Uganda |
| Ukraine |
| United Arab Emirates |
| United Kingdom |
| United States |
| Uruguay |
| Uzbekistan |
| Vanuatu |
| Vatican |
| Venezuela |
| Vietnam |
| Wallis and Futuna |
| Western Sahara |
| Yemen |
| Zambia |
| Zimbabwe |
Input Table 2:
| Col_1 |
|:--------|
| AFG |
| ALB |
| DZA |
| ASM |
| AND |
| AGO |
| AIA |
| ATA |
| ATG |
| ARG |
| ARM |
| ABW |
| AUS |
| AUT |
| AZE |
| BHS |
| BHR |
| BGD |
| BRB |
| BLR |
| BEL |
| BLZ |
| BEN |
| BMU |
| BTN |
| BOL |
| BIH |
| BWA |
| BRA |
| IOT |
| VGB |
| BRN |
| BGR |
| BFA |
| BDI |
| KHM |
| CMR |
| CAN |
| CPV |
| CYM |
| CAF |
| TCD |
| CHL |
| CHN |
| CXR |
| CCK |
| COL |
| COM |
| COK |
| CRI |
| HRV |
| CUB |
| CUW |
| CYP |
| CZE |
| COD |
| DNK |
| DJI |
| DMA |
| DOM |
| TLS |
| ECU |
| EGY |
| SLV |
| GNQ |
| ERI |
| EST |
| ETH |
| FLK |
| FRO |
| FJI |
| FIN |
| FRA |
| PYF |
| GAB |
| GMB |
| GEO |
| DEU |
| GHA |
| GIB |
| GRC |
| GRL |
| GRD |
| GUM |
| GTM |
| GGY |
| GIN |
| GNB |
| GUY |
| HTI |
| HND |
| HKG |
| HUN |
| ISL |
| IND |
| IDN |
| IRN |
| IRQ |
| IRL |
| IMN |
| ISR |
| ITA |
| CIV |
| JAM |
| JPN |
| JEY |
| JOR |
| KAZ |
| KEN |
| KIR |
| XKX |
| KWT |
| KGZ |
| LAO |
| LVA |
| LBN |
| LSO |
| LBR |
| LBY |
| LIE |
| LTU |
| LUX |
| MAC |
| MKD |
| MDG |
| MWI |
| MYS |
| MDV |
| MLI |
| MLT |
| MHL |
| MRT |
| MUS |
| MYT |
| MEX |
| FSM |
| MDA |
| MCO |
| MNG |
| MNE |
| MSR |
| MAR |
| MOZ |
| MMR |
| NAM |
| NRU |
| NPL |
| NLD |
| ANT |
| NCL |
| NZL |
| NIC |
| NER |
| NGA |
| NIU |
| PRK |
| MNP |
| NOR |
| OMN |
| PAK |
| PLW |
| PSE |
| PAN |
| PNG |
| PRY |
| PER |
| PHL |
| PCN |
| POL |
| PRT |
| PRI |
| QAT |
| COG |
| REU |
| ROU |
| RUS |
| RWA |
| BLM |
| SHN |
| KNA |
| LCA |
| MAF |
| SPM |
| VCT |
| WSM |
| SMR |
| STP |
| SAU |
| SEN |
| SRB |
| SYC |
| SLE |
| SGP |
| SXM |
| SVK |
| SVN |
| SLB |
| SOM |
| ZAF |
| KOR |
| SSD |
| ESP |
| LKA |
| SDN |
| SUR |
| SJM |
| SWZ |
| SWE |
| CHE |
| SYR |
| TWN |
| TJK |
| TZA |
| THA |
| TGO |
| TKL |
| TON |
| TTO |
| TUN |
| TUR |
| TKM |
| TCA |
| TUV |
| VIR |
| UGA |
| UKR |
| ARE |
| GBR |
| USA |
| URY |
| UZB |
| VUT |
| VAT |
| VEN |
| VNM |
| WLF |
| ESH |
| YEM |
| ZMB |
| ZWE |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToThreeLettersISOCode", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToThreeLettersISOCode", "case": "CountryToThreeLettersISOCode", "label": [["Afghanistan", "AFG"], ["Albania", "ALB"], ["Algeria", "DZA"], ["American Samoa", "ASM"], ["Andorra", "AND"], ["Angola", "AGO"], ["Anguilla", "AIA"], ["Antarctica", "ATA"], ["Antigua and Barbuda", "ATG"], ["Argentina", "ARG"], ["Armenia", "ARM"], ["Aruba", "ABW"], ["Australia", "AUS"], ["Austria", "AUT"], ["Azerbaijan", "AZE"], ["Bahamas", "BHS"], ["Bahrain", "BHR"], ["Bangladesh", "BGD"], ["Barbados", "BRB"], ["Belarus", "BLR"], ["Belgium", "BEL"], ["Belize", "BLZ"], ["Benin", "BEN"], ["Bermuda", "BMU"], ["Bhutan", "BTN"], ["Bolivia", "BOL"], ["Bosnia and Herzegovina", "BIH"], ["Botswana", "BWA"], ["Brazil", "BRA"], ["British Indian Ocean Territory", "IOT"], ["British Virgin Islands", "VGB"], ["Brunei", "BRN"], ["Bulgaria", "BGR"], ["Burkina Faso", "BFA"], ["Burundi", "BDI"], ["Cambodia", "KHM"], ["Cameroon", "CMR"], ["Canada", "CAN"], ["Cape Verde", "CPV"], ["Cayman Islands", "CYM"], ["Central African Republic", "CAF"], ["Chad", "TCD"], ["Chile", "CHL"], ["China", "CHN"], ["Christmas Island", "CXR"], ["Cocos Islands", "CCK"], ["Colombia", "COL"], ["Comoros", "COM"], ["Cook Islands", "COK"], ["Costa Rica", "CRI"], ["Croatia", "HRV"], ["Cuba", "CUB"], ["Curacao", "CUW"], ["Cyprus", "CYP"], ["Czech Republic", "CZE"], ["Democratic Republic of the Congo", "COD"], ["Denmark", "DNK"], ["Djibouti", "DJI"], ["Dominica", "DMA"], ["Dominican Republic", "DOM"], ["East Timor", "TLS"], ["Ecuador", "ECU"], ["Egypt", "EGY"], ["El Salvador", "SLV"], ["Equatorial Guinea", "GNQ"], ["Eritrea", "ERI"], ["Estonia", "EST"], ["Ethiopia", "ETH"], ["Falkland Islands", "FLK"], ["Faroe Islands", "FRO"], ["Fiji", "FJI"], ["Finland", "FIN"], ["France", "FRA"], ["French Polynesia", "PYF"], ["Gabon", "GAB"], ["Gambia", "GMB"], ["Georgia", "GEO"], ["Germany", "DEU"], ["Ghana", "GHA"], ["Gibraltar", "GIB"], ["Greece", "GRC"], ["Greenland", "GRL"], ["Grenada", "GRD"], ["Guam", "GUM"], ["Guatemala", "GTM"], ["Guernsey", "GGY"], ["Guinea", "GIN"], ["Guinea-Bissau", "GNB"], ["Guyana", "GUY"], ["Haiti", "HTI"], ["Honduras", "HND"], ["Hong Kong", "HKG"], ["Hungary", "HUN"], ["Iceland", "ISL"], ["India", "IND"], ["Indonesia", "IDN"], ["Iran", "IRN"], ["Iraq", "IRQ"], ["Ireland", "IRL"], ["Isle of Man", "IMN"], ["Israel", "ISR"], ["Italy", "ITA"], ["Ivory Coast", "CIV"], ["Jamaica", "JAM"], ["Japan", "JPN"], ["Jersey", "JEY"], ["Jordan", "JOR"], ["Kazakhstan", "KAZ"], ["Kenya", "KEN"], ["Kiribati", "KIR"], ["Kosovo", "XKX"], ["Kuwait", "KWT"], ["Kyrgyzstan", "KGZ"], ["Laos", "LAO"], ["Latvia", "LVA"], ["Lebanon", "LBN"], ["Lesotho", "LSO"], ["Liberia", "LBR"], ["Libya", "LBY"], ["Liechtenstein", "LIE"], ["Lithuania", "LTU"], ["Luxembourg", "LUX"], ["Macao", "MAC"], ["Macedonia", "MKD"], ["Madagascar", "MDG"], ["Malawi", "MWI"], ["Malaysia", "MYS"], ["Maldives", "MDV"], ["Mali", "MLI"], ["Malta", "MLT"], ["Marshall Islands", "MHL"], ["Mauritania", "MRT"], ["Mauritius", "MUS"], ["Mayotte", "MYT"], ["Mexico", "MEX"], ["Micronesia", "FSM"], ["Moldova", "MDA"], ["Monaco", "MCO"], ["Mongolia", "MNG"], ["Montenegro", "MNE"], ["Montserrat", "MSR"], ["Morocco", "MAR"], ["Mozambique", "MOZ"], ["Myanmar", "MMR"], ["Namibia", "NAM"], ["Nauru", "NRU"], ["Nepal", "NPL"], ["Netherlands", "NLD"], ["Netherlands Antilles", "ANT"], ["New Caledonia", "NCL"], ["New Zealand", "NZL"], ["Nicaragua", "NIC"], ["Niger", "NER"], ["Nigeria", "NGA"], ["Niue", "NIU"], ["North Korea", "PRK"], ["Northern Mariana Islands", "MNP"], ["Norway", "NOR"], ["Oman", "OMN"], ["Pakistan", "PAK"], ["Palau", "PLW"], ["Palestine", "PSE"], ["Panama", "PAN"], ["Papua New Guinea", "PNG"], ["Paraguay", "PRY"], ["Peru", "PER"], ["Philippines", "PHL"], ["Pitcairn", "PCN"], ["Poland", "POL"], ["Portugal", "PRT"], ["Puerto Rico", "PRI"], ["Qatar", "QAT"], ["Republic of the Congo", "COG"], ["Reunion", "REU"], ["Romania", "ROU"], ["Russia", "RUS"], ["Rwanda", "RWA"], ["Saint Barthelemy", "BLM"], ["Saint Helena", "SHN"], ["Saint Kitts and Nevis", "KNA"], ["Saint Lucia", "LCA"], ["Saint Martin", "MAF"], ["Saint Pierre and Miquelon", "SPM"], ["Saint Vincent and the Grenadines", "VCT"], ["Samoa", "WSM"], ["San Marino", "SMR"], ["Sao Tome and Principe", "STP"], ["Saudi Arabia", "SAU"], ["Senegal", "SEN"], ["Serbia", "SRB"], ["Seychelles", "SYC"], ["Sierra Leone", "SLE"], ["Singapore", "SGP"], ["Sint Maarten", "SXM"], ["Slovakia", "SVK"], ["Slovenia", "SVN"], ["Solomon Islands", "SLB"], ["Somalia", "SOM"], ["South Africa", "ZAF"], ["South Korea", "KOR"], ["South Sudan", "SSD"], ["Spain", "ESP"], ["Sri Lanka", "LKA"], ["Sudan", "SDN"], ["Suriname", "SUR"], ["Svalbard and Jan Mayen", "SJM"], ["Swaziland", "SWZ"], ["Sweden", "SWE"], ["Switzerland", "CHE"], ["Syria", "SYR"], ["Taiwan", "TWN"], ["Tajikistan", "TJK"], ["Tanzania", "TZA"], ["Thailand", "THA"], ["Togo", "TGO"], ["Tokelau", "TKL"], ["Tonga", "TON"], ["Trinidad and Tobago", "TTO"], ["Tunisia", "TUN"], ["Turkey", "TUR"], ["Turkmenistan", "TKM"], ["Turks and Caicos Islands", "TCA"], ["Tuvalu", "TUV"], ["U.S. Virgin Islands", "VIR"], ["Uganda", "UGA"], ["Ukraine", "UKR"], ["United Arab Emirates", "ARE"], ["United Kingdom", "GBR"], ["United States", "USA"], ["Uruguay", "URY"], ["Uzbekistan", "UZB"], ["Vanuatu", "VUT"], ["Vatican", "VAT"], ["Venezuela", "VEN"], ["Vietnam", "VNM"], ["Wallis and Futuna", "WLF"], ["Western Sahara", "ESH"], ["Yemen", "YEM"], ["Zambia", "ZMB"], ["Zimbabwe", "ZWE"]], "sources": ["DataXFormer-benchmark/CountryToThreeLettersISOCode/ground truth.csv", "DataXFormer-benchmark/CountryToThreeLettersISOCode/source.csv", "DataXFormer-benchmark/CountryToThreeLettersISOCode/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| U+0041 |
| U+0042 |
| U+0043 |
| U+0044 |
| U+0054 |
| U+0055 |
| U+0056 |
| U+0057 |
| U+0058 |
| U+0059 |
| U+005A |
Input Table 2:
| Col_1 |
|--------:|
| 65 |
| 66 |
| 67 |
| 68 |
| 84 |
| 85 |
| 86 |
| 87 |
| 88 |
| 89 |
| 90 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CharToAscii", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CharToAscii", "case": "CharToAscii", "label": [["U+0041", 65], ["U+0042", 66], ["U+0043", 67], ["U+0044", 68], ["U+0054", 84], ["U+0055", 85], ["U+0056", 86], ["U+0057", 87], ["U+0058", 88], ["U+0059", 89], ["U+005A", 90]], "sources": ["DataXFormer-benchmark/CharToAscii/ground truth.csv", "DataXFormer-benchmark/CharToAscii/source.csv", "DataXFormer-benchmark/CharToAscii/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------------------------------|
| Anfield |
| Bentegodi |
| Camp Nou |
| Campo de Futbol de Vallecas |
| Constant Vanden Stock Stadium |
| Emirates Stadium |
| Estadio Monumental Antonio Vespucio Liberti |
| Etihad Stadium |
| Luigi Ferraris |
| Luigi Ferraris |
| Juventus Stadium |
| La Bombonera |
| Maracana |
| Old Trafford |
| Olimpico |
| Olimpico |
| Parc des princes |
| Rajko Mitic |
| San Paolo |
| San Siro |
| San Siro |
| Santiago Bernabeu |
| Stade de Gerland |
| Stade Vélodrome |
| Stadionul Steaua |
| Stamford Bridge |
| Vicente Calderón |
| White Hart Lane |
| Bentegodi |
| Maracana |
Input Table 2:
| Col_1 |
|:--------------------------|
| Liverpool F.C. |
| A.C. Chievo Verona |
| F.C. Barcelona |
| Rayo Vallecano |
| R.S.C. Anderlecht |
| Arsenal F.C. |
| Club Atletico River Plate |
| Manchester City F.C. |
| U.C. Sampdoria |
| Genoa C.F.C. |
| Juventus F.C. |
| Boca Juniors |
| Fluminense FC |
| Manchester United F.C. |
| A.S. Roma |
| S.S. Lazio |
| Paris Saint-Germain F.C. |
| Red Star Belgrade |
| S.S.C. Napoli |
| A.C. Milan |
| Internazionale |
| Real Madrid C.F. |
| Olympique Lyonnais |
| Olympique de Marseille |
| FC Steaua Bucuresti |
| Chelsea F.C. |
| Atletico de Madrid |
| Tottenham Hotspur F.C. |
| Hellas Verona |
| Flamengo |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ArenaTocurrentSoccerClubs", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ArenaTocurrentSoccerClubs", "case": "ArenaTocurrentSoccerClubs", "label": [["Anfield", "Liverpool F.C."], ["Bentegodi", "A.C. Chievo Verona"], ["Camp Nou", "F.C. Barcelona"], ["Campo de Futbol de Vallecas", "Rayo Vallecano"], ["Constant Vanden Stock Stadium", "R.S.C. Anderlecht"], ["Emirates Stadium", "Arsenal F.C."], ["Estadio Monumental Antonio Vespucio Liberti", "Club Atletico River Plate"], ["Etihad Stadium", "Manchester City F.C."], ["Luigi Ferraris", "U.C. Sampdoria"], ["Luigi Ferraris", "Genoa C.F.C."], ["Juventus Stadium", "Juventus F.C."], ["La Bombonera", "Boca Juniors"], ["Maracana", "Fluminense FC"], ["Old Trafford", "Manchester United F.C."], ["Olimpico", "A.S. Roma"], ["Olimpico", "S.S. Lazio"], ["Parc des princes", "Paris Saint-Germain F.C."], ["Rajko Mitic", "Red Star Belgrade"], ["San Paolo", "S.S.C. Napoli"], ["San Siro", "A.C. Milan"], ["San Siro", "Internazionale"], ["Santiago Bernabeu", "Real Madrid C.F."], ["Stade de Gerland", "Olympique Lyonnais"], ["Stade V\u00e9lodrome", "Olympique de Marseille"], ["Stadionul Steaua", "FC Steaua Bucuresti"], ["Stamford Bridge", "Chelsea F.C."], ["Vicente Calder\u00f3n", "Atletico de Madrid"], ["White Hart Lane", "Tottenham Hotspur F.C."], ["Bentegodi", "Hellas Verona"], ["Maracana", "Flamengo"]], "sources": ["DataXFormer-benchmark/ArenaTocurrentSoccerClubs/ground truth.csv", "DataXFormer-benchmark/ArenaTocurrentSoccerClubs/source.csv", "DataXFormer-benchmark/ArenaTocurrentSoccerClubs/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:----------------|
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| North America |
| North America |
| North America |
| North America |
| North America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
Input Table 2:
| Col_1 |
|:------------------------------------------|
| Algeria |
| Angola |
| Benin |
| Botswana |
| Burkina Faso |
| Burundi |
| Cameroon |
| Central African Republic |
| Cape Verde |
| Chad |
| Comoros |
| Republic of the Congo |
| Democratic Republic of the Congo |
| côte d'ivoire |
| Djibouti |
| Egypt |
| Equatorial Guinea |
| Eritrea |
| Ethiopia |
| Gabon |
| The Gambia |
| Ghana |
| Guinea |
| Guinea Bissau |
| Kenya |
| Lesotho |
| Liberia |
| Libya |
| Madagascar |
| Malawi |
| Mali |
| Mauritania |
| Mauritius |
| Morocco |
| Mozambique |
| Namibia |
| Niger |
| Nigeria |
| Rwanda |
| S�o Tom� and Pr�ncipe |
| Senegal |
| Seychelles |
| Sierra Leone |
| Somalia |
| South Africa |
| South Sudan |
| Sudan |
| Swaziland |
| Togo |
| Tunisia |
| Uganda |
| Zambia |
| Zimbabwe |
| Zaire |
| Afghanistan |
| Armenia |
| Azerbaijan |
| Bahrain |
| Bangladesh |
| Bhutan |
| Brunei |
| Cambodia |
| China People's Republic of |
| Taiwan |
| East Timor |
| Georgia |
| India |
| Indonesia |
| Iran |
| Iraq |
| Israel |
| Palestine |
| Japan |
| Jordan |
| Kazakhstan |
| Kuwait |
| Kyrgyzstan |
| Laos |
| Lebanon |
| Malaysia |
| Maldives |
| Mongolia |
| Myanmar |
| Nepal |
| North Korea |
| Oman |
| Pakistan |
| Philippines |
| Qatar |
| Russia |
| Saudi Arabia |
| Singapore |
| South Korea |
| Sri Lanka |
| Syria |
| Tajikistan |
| Thailand |
| Turkey |
| Turkmenistan |
| United Arab Emirates |
| Uzbekistan |
| Vietnam |
| Yemen |
| Albania |
| Andorra |
| Austria |
| Belarus |
| Belgium |
| Bosnia and Herzegovina |
| Bulgaria |
| Croatia |
| Cyprus |
| Czech Republic |
| Denmark |
| Estonia |
| Finland |
| France |
| Georgia |
| Germany |
| Greece |
| Hungary |
| Iceland |
| Republic of Ireland |
| Italy |
| Latvia |
| Liechtenstein |
| Lithuania |
| Luxembourg |
| Republic of Macedonia |
| Malta |
| Moldova |
| Monaco |
| Montenegro |
| Netherlands |
| Norway |
| Poland |
| Portugal |
| Romania |
| Russia |
| San Marino |
| Serbia |
| Slovakia |
| Slovenia |
| Spain |
| Sweden |
| Switzerland |
| Turkey |
| Ukraine |
| United Kingdom |
| Vatican City |
| Aruba |
| Barbados |
| Canada |
| Mexico |
| United States of America |
| Antigua and Barbuda |
| Bahamas |
| Barbados |
| Belize |
| Costa Rica |
| Cuba |
| Dominica |
| Dominican Republic (Republica Dominicana) |
| El Salvador |
| Grenada |
| Guatemala |
| Haiti |
| Honduras |
| Jamaica |
| Nicaragua |
| Panama |
| Puerto Rico |
| Saint Kitts and Nevis |
| Saint Lucia |
| Saint Vincent and the Grenadines |
| Trinidad and Tobago |
| Turks and Caicos |
| Argentina |
| Bolivia |
| Brazil |
| Chile |
| Colombia |
| Ecuador |
| French Guiana |
| Guyana |
| Paraguay |
| Peru |
| Suriname |
| Uruguay |
| Venezuela |
| Fiji |
| Papua New Guinea |
| Solomon Islands |
| Vanuatu |
| Kiribati |
| Marshall Islands |
| Micronesia |
| Nauru |
| Palau |
| Australia |
| Samoa |
| Tonga |
| Tuvalu |
| New Zealand |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Continent2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Continent2Countries", "case": "Continent2Countries", "label": [["Africa", "Algeria"], ["Africa", "Angola"], ["Africa", "Benin"], ["Africa", "Botswana"], ["Africa", "Burkina Faso"], ["Africa", "Burundi"], ["Africa", "Cameroon"], ["Africa", "Central African Republic"], ["Africa", "Cape Verde"], ["Africa", "Chad"], ["Africa", "Comoros"], ["Africa", "Republic of the Congo"], ["Africa", "Democratic Republic of the Congo"], ["Africa", "c\u00f4te d'ivoire"], ["Africa", "Djibouti"], ["Africa", "Egypt"], ["Africa", "Equatorial Guinea"], ["Africa", "Eritrea"], ["Africa", "Ethiopia"], ["Africa", "Gabon"], ["Africa", "The Gambia"], ["Africa", "Ghana"], ["Africa", "Guinea"], ["Africa", "Guinea Bissau"], ["Africa", "Kenya"], ["Africa", "Lesotho"], ["Africa", "Liberia"], ["Africa", "Libya"], ["Africa", "Madagascar"], ["Africa", "Malawi"], ["Africa", "Mali"], ["Africa", "Mauritania"], ["Africa", "Mauritius"], ["Africa", "Morocco"], ["Africa", "Mozambique"], ["Africa", "Namibia"], ["Africa", "Niger"], ["Africa", "Nigeria"], ["Africa", "Rwanda"], ["Africa", "S\ufffdo Tom\ufffd and Pr\ufffdncipe"], ["Africa", "Senegal"], ["Africa", "Seychelles"], ["Africa", "Sierra Leone"], ["Africa", "Somalia"], ["Africa", "South Africa"], ["Africa", "South Sudan"], ["Africa", "Sudan"], ["Africa", "Swaziland"], ["Africa", "Togo"], ["Africa", "Tunisia"], ["Africa", "Uganda"], ["Africa", "Zambia"], ["Africa", "Zimbabwe"], ["Africa", "Zaire"], ["Asia", "Afghanistan"], ["Asia", "Armenia"], ["Asia", "Azerbaijan"], ["Asia", "Bahrain"], ["Asia", "Bangladesh"], ["Asia", "Bhutan"], ["Asia", "Brunei"], ["Asia", "Cambodia"], ["Asia", "China People's Republic of"], ["Asia", "Taiwan"], ["Asia", "East Timor"], ["Asia", "Georgia"], ["Asia", "India"], ["Asia", "Indonesia"], ["Asia", "Iran"], ["Asia", "Iraq"], ["Asia", "Israel"], ["Asia", "Palestine"], ["Asia", "Japan"], ["Asia", "Jordan"], ["Asia", "Kazakhstan"], ["Asia", "Kuwait"], ["Asia", "Kyrgyzstan"], ["Asia", "Laos"], ["Asia", "Lebanon"], ["Asia", "Malaysia"], ["Asia", "Maldives"], ["Asia", "Mongolia"], ["Asia", "Myanmar"], ["Asia", "Nepal"], ["Asia", "North Korea"], ["Asia", "Oman"], ["Asia", "Pakistan"], ["Asia", "Philippines"], ["Asia", "Qatar"], ["Asia", "Russia"], ["Asia", "Saudi Arabia"], ["Asia", "Singapore"], ["Asia", "South Korea"], ["Asia", "Sri Lanka"], ["Asia", "Syria"], ["Asia", "Tajikistan"], ["Asia", "Thailand"], ["Asia", "Turkey"], ["Asia", "Turkmenistan"], ["Asia", "United Arab Emirates"], ["Asia", "Uzbekistan"], ["Asia", "Vietnam"], ["Asia", "Yemen"], ["Europe", "Albania"], ["Europe", "Andorra"], ["Europe", "Austria"], ["Europe", "Belarus"], ["Europe", "Belgium"], ["Europe", "Bosnia and Herzegovina"], ["Europe", "Bulgaria"], ["Europe", "Croatia"], ["Europe", "Cyprus"], ["Europe", "Czech Republic"], ["Europe", "Denmark"], ["Europe", "Estonia"], ["Europe", "Finland"], ["Europe", "France"], ["Europe", "Georgia"], ["Europe", "Germany"], ["Europe", "Greece"], ["Europe", "Hungary"], ["Europe", "Iceland"], ["Europe", "Republic of Ireland"], ["Europe", "Italy"], ["Europe", "Latvia"], ["Europe", "Liechtenstein"], ["Europe", "Lithuania"], ["Europe", "Luxembourg"], ["Europe", "Republic of Macedonia"], ["Europe", "Malta"], ["Europe", "Moldova"], ["Europe", "Monaco"], ["Europe", "Montenegro"], ["Europe", "Netherlands"], ["Europe", "Norway"], ["Europe", "Poland"], ["Europe", "Portugal"], ["Europe", "Romania"], ["Europe", "Russia"], ["Europe", "San Marino"], ["Europe", "Serbia"], ["Europe", "Slovakia"], ["Europe", "Slovenia"], ["Europe", "Spain"], ["Europe", "Sweden"], ["Europe", "Switzerland"], ["Europe", "Turkey"], ["Europe", "Ukraine"], ["Europe", "United Kingdom"], ["Europe", "Vatican City"], ["North America", "Aruba"], ["North America", "Barbados"], ["North America", "Canada"], ["North America", "Mexico"], ["North America", "United States of America"], ["Central America", "Antigua and Barbuda"], ["Central America", "Bahamas"], ["Central America", "Barbados"], ["Central America", "Belize"], ["Central America", "Costa Rica"], ["Central America", "Cuba"], ["Central America", "Dominica"], ["Central America", "Dominican Republic (Republica Dominicana)"], ["Central America", "El Salvador"], ["Central America", "Grenada"], ["Central America", "Guatemala"], ["Central America", "Haiti"], ["Central America", "Honduras"], ["Central America", "Jamaica"], ["Central America", "Nicaragua"], ["Central America", "Panama"], ["Central America", "Puerto Rico"], ["Central America", "Saint Kitts and Nevis"], ["Central America", "Saint Lucia"], ["Central America", "Saint Vincent and the Grenadines"], ["Central America", "Trinidad and Tobago"], ["Central America", "Turks and Caicos"], ["South America", "Argentina"], ["South America", "Bolivia"], ["South America", "Brazil"], ["South America", "Chile"], ["South America", "Colombia"], ["South America", "Ecuador"], ["South America", "French Guiana"], ["South America", "Guyana"], ["South America", "Paraguay"], ["South America", "Peru"], ["South America", "Suriname"], ["South America", "Uruguay"], ["South America", "Venezuela"], ["Oceania", "Fiji"], ["Oceania", "Papua New Guinea"], ["Oceania", "Solomon Islands"], ["Oceania", "Vanuatu"], ["Oceania", "Kiribati"], ["Oceania", "Marshall Islands"], ["Oceania", "Micronesia"], ["Oceania", "Nauru"], ["Oceania", "Palau"], ["Oceania", "Australia"], ["Oceania", "Samoa"], ["Oceania", "Tonga"], ["Oceania", "Tuvalu"], ["Oceania", "New Zealand"]], "sources": ["DataXFormer-benchmark/Continent2Countries/ground truth.csv", "DataXFormer-benchmark/Continent2Countries/source.csv", "DataXFormer-benchmark/Continent2Countries/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| Ac |
| Ag |
| Al |
| Am |
| Ar |
| As |
| At |
| Au |
| B |
| Ba |
| Be |
| Bh |
| Bi |
| Bk |
| Br |
| C |
| Ca |
| Cd |
| Ce |
| Cf |
| Cl |
| Cm |
| Cn |
| Co |
| Cr |
| Cs |
| Cu |
| Db |
| Ds |
| Dy |
| Er |
| Es |
| Eu |
| F |
| Fe |
| Fm |
| Fr |
| Ga |
| Gd |
| Ge |
| H |
| He |
| Hf |
| Hg |
| Ho |
| Hs |
| I |
| In |
| K |
| Kr |
| La |
| Li |
| Lr |
| Lu |
| Md |
| Mg |
| Mn |
| Mo |
| Mt |
| N |
| Na |
| Nb |
| Nd |
| Ne |
| Ni |
| No |
| Np |
| O |
| Os |
| P |
| Pa |
| Pb |
| Pd |
| Pm |
| Po |
| Pr |
| Pt |
| Pu |
| Ra |
| Rb |
| Re |
| Rf |
| Rg |
| Rh |
| Rn |
| Ru |
| S |
| Sb |
| Sc |
| Se |
| Sg |
| Si |
| Sm |
| Sn |
| Sr |
| Ta |
| Tb |
| Tc |
| Th |
| Ti |
| Tl |
| Tm |
| U |
| V |
| W |
| Xe |
| Y |
| Yb |
| Zn |
| Zr |
Input Table 2:
| Col_1 |
|:--------------|
| Actinium |
| Silver |
| Aluminium |
| Americium |
| Argon |
| Arsenic |
| Astatine |
| Gold |
| Boron |
| Barium |
| Beryllium |
| Bohrium |
| Bismuth |
| Berkelium |
| Bromine |
| Carbon |
| Calcium |
| Cadmium |
| Cerium |
| Californium |
| Chlorine |
| Curium |
| Copernicium |
| Cobalt |
| Chromium |
| Caesium |
| Copper |
| Dubnium |
| Darmstadtium |
| Dysprosium |
| Erbium |
| Einsteinium |
| Europium |
| Fluorine |
| Iron |
| Fermium |
| Francium |
| Gallium |
| Gadolinium |
| Germanium |
| Hydrogen |
| Helium |
| Hafnium |
| Mercury |
| Holmium |
| Hassium |
| Iodine |
| Indium |
| Potassium |
| Krypton |
| Lanthanum |
| Lithium |
| Lawrencium |
| Lutetium |
| Mendelevium |
| Magnesium |
| Manganese |
| Molybdenum |
| Meitnerium |
| Nitrogen |
| Sodium |
| Niobium |
| Neodymium |
| Neon |
| Nickel |
| Nobelium |
| Neptunium |
| Oxygen |
| Osmium |
| Phosphorus |
| Protactinium |
| Lead |
| Palladium |
| Promethium |
| Polonium |
| Praseodymium |
| Platinum |
| Plutonium |
| Radium |
| Rubidium |
| Rhenium |
| Rutherfordium |
| Roentgenium |
| Rhodium |
| Radon |
| Ruthenium |
| Sulfur |
| Antimony |
| Scandium |
| Selenium |
| Seaborgium |
| Silicon |
| Samarium |
| Tin |
| Strontium |
| Tantalum |
| Terbium |
| Technetium |
| Thorium |
| Titanium |
| Thallium |
| Thulium |
| Uranium |
| Vanadium |
| Tungsten |
| Xenon |
| Yttrium |
| Ytterbium |
| Zinc |
| Zirconium |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ElementToSymbol", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ElementToSymbol", "case": "ElementToSymbol", "label": [["Ac", "Actinium"], ["Ag", "Silver"], ["Al", "Aluminium"], ["Am", "Americium"], ["Ar", "Argon"], ["As", "Arsenic"], ["At", "Astatine"], ["Au", "Gold"], ["B", "Boron"], ["Ba", "Barium"], ["Be", "Beryllium"], ["Bh", "Bohrium"], ["Bi", "Bismuth"], ["Bk", "Berkelium"], ["Br", "Bromine"], ["C", "Carbon"], ["Ca", "Calcium"], ["Cd", "Cadmium"], ["Ce", "Cerium"], ["Cf", "Californium"], ["Cl", "Chlorine"], ["Cm", "Curium"], ["Cn", "Copernicium"], ["Co", "Cobalt"], ["Cr", "Chromium"], ["Cs", "Caesium"], ["Cu", "Copper"], ["Db", "Dubnium"], ["Ds", "Darmstadtium"], ["Dy", "Dysprosium"], ["Er", "Erbium"], ["Es", "Einsteinium"], ["Eu", "Europium"], ["F", "Fluorine"], ["Fe", "Iron"], ["Fm", "Fermium"], ["Fr", "Francium"], ["Ga", "Gallium"], ["Gd", "Gadolinium"], ["Ge", "Germanium"], ["H", "Hydrogen"], ["He", "Helium"], ["Hf", "Hafnium"], ["Hg", "Mercury"], ["Ho", "Holmium"], ["Hs", "Hassium"], ["I", "Iodine"], ["In", "Indium"], ["K", "Potassium"], ["Kr", "Krypton"], ["La", "Lanthanum"], ["Li", "Lithium"], ["Lr", "Lawrencium"], ["Lu", "Lutetium"], ["Md", "Mendelevium"], ["Mg", "Magnesium"], ["Mn", "Manganese"], ["Mo", "Molybdenum"], ["Mt", "Meitnerium"], ["N", "Nitrogen"], ["Na", "Sodium"], ["Nb", "Niobium"], ["Nd", "Neodymium"], ["Ne", "Neon"], ["Ni", "Nickel"], ["No", "Nobelium"], ["Np", "Neptunium"], ["O", "Oxygen"], ["Os", "Osmium"], ["P", "Phosphorus"], ["Pa", "Protactinium"], ["Pb", "Lead"], ["Pd", "Palladium"], ["Pm", "Promethium"], ["Po", "Polonium"], ["Pr", "Praseodymium"], ["Pt", "Platinum"], ["Pu", "Plutonium"], ["Ra", "Radium"], ["Rb", "Rubidium"], ["Re", "Rhenium"], ["Rf", "Rutherfordium"], ["Rg", "Roentgenium"], ["Rh", "Rhodium"], ["Rn", "Radon"], ["Ru", "Ruthenium"], ["S", "Sulfur"], ["Sb", "Antimony"], ["Sc", "Scandium"], ["Se", "Selenium"], ["Sg", "Seaborgium"], ["Si", "Silicon"], ["Sm", "Samarium"], ["Sn", "Tin"], ["Sr", "Strontium"], ["Ta", "Tantalum"], ["Tb", "Terbium"], ["Tc", "Technetium"], ["Th", "Thorium"], ["Ti", "Titanium"], ["Tl", "Thallium"], ["Tm", "Thulium"], ["U", "Uranium"], ["V", "Vanadium"], ["W", "Tungsten"], ["Xe", "Xenon"], ["Y", "Yttrium"], ["Yb", "Ytterbium"], ["Zn", "Zinc"], ["Zr", "Zirconium"]], "sources": ["DataXFormer-benchmark/ElementToSymbol/ground truth.csv", "DataXFormer-benchmark/ElementToSymbol/source.csv", "DataXFormer-benchmark/ElementToSymbol/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------------------|
| India |
| China |
| China |
| Nepal |
| Pakistan |
| Nepal |
| China |
| China |
| Nepal |
| Nepal |
| Nepal |
| China |
| China |
| China |
| Nepal |
| Nepal |
| Pakistan |
| Nepal |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| China |
| China |
| Pakistan |
| China |
| Nepal |
| Pakistan |
| Nepal |
| China |
| Nepal |
| Pakistan |
| Pakistan |
| China |
| Nepal |
| Nepal |
| Pakistan |
| Pakistan |
| India |
| Nepal |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| Pakistan |
| India |
| India |
| Pakistan |
| China |
| Nepal |
| China |
| China |
| Pakistan |
| India |
| Pakistan |
| Pakistan |
| China |
| Pakistan |
| China |
| Bhutan |
| China |
| Nepal |
| China |
| Pakistan |
| China |
| China |
| Pakistan |
| Pakistan |
| Nepal |
| India |
| Tajikistan |
| Afghanistan |
| Pakistan |
| Pakistan |
| Pakistan |
| Nepal |
| Nepal |
| Pakistan |
| China |
| Pakistan |
| Kyrgyzstan |
| India |
| Pakistan |
| India |
| Pakistan |
| India |
| Pakistan |
| China |
| India |
| Pakistan |
| Nepal |
| China |
| Nepal |
| Nepal |
| India |
| Pakistan |
| India |
| Pakistan |
| Nepal |
| Bhutan |
| Pakistan |
| China |
| China |
| China |
| China |
| Pakistan |
| Pakistan |
| Pakistan |
| China |
| India |
| Pakistan |
| Pakistan |
| China/India |
| Nepal |
| China |
| Bhutan/China |
| Nepal/China (Tibet) |
| Bhutan/China |
| Nepal |
| China |
| China |
| Nepal |
| Nepal |
| Nepal |
| Pakistan |
| India |
| Nepal |
| Nepal |
| Kyrgyzstan |
| Nepal |
| India |
| Tajikistan |
| China |
| India |
| India |
| China |
| China |
| China |
| Afghanistan |
| Pakistan |
| Kazakhstan |
| Pakistan |
| India |
| India |
| China |
| China |
| Tajikistan |
| Kyrgyzstan |
Input Table 2:
| Col_1 |
|:----------------------|
| Kangchenjunga |
| K2 |
| Mount Everest |
| Mount Everest |
| K2 |
| Kangchenjunga |
| Broad Peak |
| Gasherbrum I |
| Makalu |
| Cho Oyu |
| Lhotse |
| Lhotse |
| Makalu |
| Cho Oyu |
| Dhaulagiri |
| Manaslu |
| Nanga Parbat |
| Annapurna |
| Gasherbrum I |
| Broad Peak |
| Gasherbrum IV |
| Gasherbrum III |
| Gyachung Kang |
| Gasherbrum II |
| Gasherbrum II |
| Shishapangma |
| Gyachung Kang |
| Gasherbrum III |
| Annapurna II |
| Gasherbrum IV |
| Himalchuli |
| Saltoro Kangri |
| Distaghil Sar |
| Chomo Lonzo |
| Ngadi Chuli |
| Nuptse |
| Khunyang Chhish |
| Masherbrum |
| Nanda Devi |
| Chomo Lonzo |
| Batura Sar |
| Kanjut Sar |
| Rakaposhi |
| Namcha Barwa |
| Batura II |
| Kamet |
| Saltoro Kangri |
| Batura III |
| Kongur Tagh |
| Jannu |
| Molamenqing |
| Gurla Mandhata |
| Tirich Mir |
| Saser Kangri |
| Chogolisa |
| Shispare |
| Changtse |
| Trivor |
| Gangkhar Puensum |
| Gangkhar Puensum |
| Gongga Shan |
| Annapurna III |
| Kula Kangri |
| Chogolisa II |
| Muztagh Ata |
| Skyang Kangri |
| Skyang Kangri |
| Yukshin Gardan Sar |
| Annapurna IV |
| Mamostong Kangri |
| Ismoil Somoni Peak |
| Noshaq |
| Pumari Chhish |
| Passu Sar |
| Malubiting |
| Gangapurna |
| Kabru |
| Ghent Kangri |
| Jengish Chokusu |
| K12 |
| Jengish Chokusu |
| K12 |
| Istor-o-Nal |
| Ghent Kangri |
| Haramosh Peak |
| Kabru |
| Ultar |
| Labuche Kang |
| Rimo I |
| Sherpi Kangri |
| Labuche Kang |
| Jomolhari /Chomolhari |
| Gimmigela Chuli |
| Kirat Chuli |
| Kirat Chuli |
| Skil Brum |
| Gimmigela Chuli |
| Bojohagur Duanasir |
| Chamlang |
| Jomolhari /Chomolhari |
| Baltoro Kangri |
| Siguang Ri |
| The Crown |
| Gyala Peri |
| Porong Ri |
| Baintha Brakk |
| Yutmaru Sar |
| K6 |
| Kangpenqing |
| Mana Peak |
| Muztagh Tower |
| Diran |
| Apsarasas Kangri |
| Langtang Lirung |
| Khartaphu |
| Tongshanjiabu |
| Langtang Ri |
| Kangphu Kang |
| Annapurna South |
| Melungtse |
| Liushi Shan |
| Baruntse |
| Pumori |
| Nemjung |
| Udren Zom |
| Nun Kun |
| Tilicho Peak |
| Gauri Sankar |
| Lenin Peak |
| Api |
| Pauhunri |
| Korzhenevskaya |
| Lunpo Gangri |
| Tirsuli |
| Dunagiri |
| Kangto |
| Nyegyi Kansang |
| Kezhen Peak |
| Shah Dhar |
| Spantik |
| Khan Tengri |
| Shah Dhar |
| Kangto |
| Nyegyi Kansang |
| Pauhunri |
| Gauri Sankar |
| Lenin Peak |
| Khan Tengri |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Country2Mountains7k", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Country2Mountains7k", "case": "Country2Mountains7k", "label": [["India", "Kangchenjunga"], ["China", "K2"], ["China", "Mount Everest"], ["Nepal", "Mount Everest"], ["Pakistan", "K2"], ["Nepal", "Kangchenjunga"], ["China", "Broad Peak"], ["China", "Gasherbrum I"], ["Nepal", "Makalu"], ["Nepal", "Cho Oyu"], ["Nepal", "Lhotse"], ["China", "Lhotse"], ["China", "Makalu"], ["China", "Cho Oyu"], ["Nepal", "Dhaulagiri"], ["Nepal", "Manaslu"], ["Pakistan", "Nanga Parbat"], ["Nepal", "Annapurna"], ["Pakistan", "Gasherbrum I"], ["Pakistan", "Broad Peak"], ["Pakistan", "Gasherbrum IV"], ["China", "Gasherbrum III"], ["China", "Gyachung Kang"], ["China", "Gasherbrum II"], ["Pakistan", "Gasherbrum II"], ["China", "Shishapangma"], ["Nepal", "Gyachung Kang"], ["Pakistan", "Gasherbrum III"], ["Nepal", "Annapurna II"], ["China", "Gasherbrum IV"], ["Nepal", "Himalchuli"], ["Pakistan", "Saltoro Kangri"], ["Pakistan", "Distaghil Sar"], ["China", "Chomo Lonzo"], ["Nepal", "Ngadi Chuli"], ["Nepal", "Nuptse"], ["Pakistan", "Khunyang Chhish"], ["Pakistan", "Masherbrum"], ["India", "Nanda Devi"], ["Nepal", "Chomo Lonzo"], ["Pakistan", "Batura Sar"], ["Pakistan", "Kanjut Sar"], ["Pakistan", "Rakaposhi"], ["China", "Namcha Barwa"], ["Pakistan", "Batura II"], ["India", "Kamet"], ["India", "Saltoro Kangri"], ["Pakistan", "Batura III"], ["China", "Kongur Tagh"], ["Nepal", "Jannu"], ["China", "Molamenqing"], ["China", "Gurla Mandhata"], ["Pakistan", "Tirich Mir"], ["India", "Saser Kangri"], ["Pakistan", "Chogolisa"], ["Pakistan", "Shispare"], ["China", "Changtse"], ["Pakistan", "Trivor"], ["China", "Gangkhar Puensum"], ["Bhutan", "Gangkhar Puensum"], ["China", "Gongga Shan"], ["Nepal", "Annapurna III"], ["China", "Kula Kangri"], ["Pakistan", "Chogolisa II"], ["China", "Muztagh Ata"], ["China", "Skyang Kangri"], ["Pakistan", "Skyang Kangri"], ["Pakistan", "Yukshin Gardan Sar"], ["Nepal", "Annapurna IV"], ["India", "Mamostong Kangri"], ["Tajikistan", "Ismoil Somoni Peak"], ["Afghanistan", "Noshaq"], ["Pakistan", "Pumari Chhish"], ["Pakistan", "Passu Sar"], ["Pakistan", "Malubiting"], ["Nepal", "Gangapurna"], ["Nepal", "Kabru"], ["Pakistan", "Ghent Kangri"], ["China", "Jengish Chokusu"], ["Pakistan", "K12"], ["Kyrgyzstan", "Jengish Chokusu"], ["India", "K12"], ["Pakistan", "Istor-o-Nal"], ["India", "Ghent Kangri"], ["Pakistan", "Haramosh Peak"], ["India", "Kabru"], ["Pakistan", "Ultar"], ["China", "Labuche Kang"], ["India", "Rimo I"], ["Pakistan", "Sherpi Kangri"], ["Nepal", "Labuche Kang"], ["China", "Jomolhari\u00a0/Chomolhari"], ["Nepal", "Gimmigela Chuli"], ["Nepal", "Kirat Chuli"], ["India", "Kirat Chuli"], ["Pakistan", "Skil Brum"], ["India", "Gimmigela Chuli"], ["Pakistan", "Bojohagur Duanasir"], ["Nepal", "Chamlang"], ["Bhutan", "Jomolhari\u00a0/Chomolhari"], ["Pakistan", "Baltoro Kangri"], ["China", "Siguang Ri"], ["China", "The Crown"], ["China", "Gyala Peri"], ["China", "Porong Ri"], ["Pakistan", "Baintha Brakk"], ["Pakistan", "Yutmaru Sar"], ["Pakistan", "K6"], ["China", "Kangpenqing"], ["India", "Mana Peak"], ["Pakistan", "Muztagh Tower"], ["Pakistan", "Diran"], ["China/India", "Apsarasas Kangri"], ["Nepal", "Langtang Lirung"], ["China", "Khartaphu"], ["Bhutan/China", "Tongshanjiabu"], ["Nepal/China (Tibet)", "Langtang Ri"], ["Bhutan/China", "Kangphu Kang"], ["Nepal", "Annapurna South"], ["China", "Melungtse"], ["China", "Liushi Shan"], ["Nepal", "Baruntse"], ["Nepal", "Pumori"], ["Nepal", "Nemjung"], ["Pakistan", "Udren Zom"], ["India", "Nun Kun"], ["Nepal", "Tilicho Peak"], ["Nepal", "Gauri Sankar"], ["Kyrgyzstan", "Lenin Peak"], ["Nepal", "Api"], ["India", "Pauhunri"], ["Tajikistan", "Korzhenevskaya"], ["China", "Lunpo Gangri"], ["India", "Tirsuli"], ["India", "Dunagiri"], ["China", "Kangto"], ["China", "Nyegyi Kansang"], ["China", "Kezhen Peak"], ["Afghanistan", "Shah Dhar"], ["Pakistan", "Spantik"], ["Kazakhstan", "Khan Tengri"], ["Pakistan", "Shah Dhar"], ["India", "Kangto"], ["India", "Nyegyi Kansang"], ["China", "Pauhunri"], ["China", "Gauri Sankar"], ["Tajikistan", "Lenin Peak"], ["Kyrgyzstan", "Khan Tengri"]], "sources": ["DataXFormer-benchmark/Country2Mountains7k/ground truth.csv", "DataXFormer-benchmark/Country2Mountains7k/source.csv", "DataXFormer-benchmark/Country2Mountains7k/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:------------------------------------------|
| Algeria |
| Angola |
| Benin |
| Botswana |
| Burkina Faso |
| Burundi |
| Cameroon |
| Central African Republic |
| Cape Verde |
| Chad |
| Comoros |
| Republic of the Congo |
| Democratic Republic of the Congo |
| c̫te d'ivoire |
| Djibouti |
| Egypt |
| Equatorial Guinea |
| Eritrea |
| Ethiopia |
| Gabon |
| The Gambia |
| Ghana |
| Guinea |
| Guinea Bissau |
| Kenya |
| Lesotho |
| Liberia |
| Libya |
| Madagascar |
| Malawi |
| Mali |
| Mauritania |
| Mauritius |
| Morocco |
| Mozambique |
| Namibia |
| Niger |
| Nigeria |
| Rwanda |
| S•Ŕ_o Tom•Ŕ_ and Pr•Ŕ_ncipe |
| Senegal |
| Seychelles |
| Sierra Leone |
| Somalia |
| South Africa |
| South Sudan |
| Sudan |
| Swaziland |
| Togo |
| Tunisia |
| Uganda |
| Zambia |
| Zimbabwe |
| Zaire |
| Afghanistan |
| Armenia |
| Azerbaijan |
| Bahrain |
| Bangladesh |
| Bhutan |
| Brunei |
| Cambodia |
| China People's Republic of |
| Taiwan |
| East Timor |
| Georgia |
| India |
| Indonesia |
| Iran |
| Iraq |
| Israel |
| Palestine |
| Japan |
| Jordan |
| Kazakhstan |
| Kuwait |
| Kyrgyzstan |
| Laos |
| Lebanon |
| Malaysia |
| Maldives |
| Mongolia |
| Myanmar |
| Nepal |
| North Korea |
| Oman |
| Pakistan |
| Philippines |
| Qatar |
| Russia |
| Saudi Arabia |
| Singapore |
| South Korea |
| Sri Lanka |
| Syria |
| Tajikistan |
| Thailand |
| Turkey |
| Turkmenistan |
| United Arab Emirates |
| Uzbekistan |
| Vietnam |
| Yemen |
| Albania |
| Andorra |
| Austria |
| Belarus |
| Belgium |
| Bosnia and Herzegovina |
| Bulgaria |
| Croatia |
| Cyprus |
| Czech Republic |
| Denmark |
| Estonia |
| Finland |
| France |
| Georgia |
| Germany |
| Greece |
| Hungary |
| Iceland |
| Republic of Ireland |
| Italy |
| Latvia |
| Liechtenstein |
| Lithuania |
| Luxembourg |
| Republic of Macedonia |
| Malta |
| Moldova |
| Monaco |
| Montenegro |
| Netherlands |
| Norway |
| Poland |
| Portugal |
| Romania |
| Russia |
| San Marino |
| Serbia |
| Slovakia |
| Slovenia |
| Spain |
| Sweden |
| Switzerland |
| Turkey |
| Ukraine |
| United Kingdom |
| Vatican City |
| Aruba |
| Barbados |
| Canada |
| Mexico |
| United States of America |
| Antigua and Barbuda |
| Bahamas |
| Barbados |
| Belize |
| Costa Rica |
| Cuba |
| Dominica |
| Dominican Republic (Republica Dominicana) |
| El Salvador |
| Grenada |
| Guatemala |
| Haiti |
| Honduras |
| Jamaica |
| Nicaragua |
| Panama |
| Puerto Rico |
| Saint Kitts and Nevis |
| Saint Lucia |
| Saint Vincent and the Grenadines |
| Trinidad and Tobago |
| Turks and Caicos |
| Argentina |
| Bolivia |
| Brazil |
| Chile |
| Colombia |
| Ecuador |
| French Guiana |
| Guyana |
| Paraguay |
| Peru |
| Suriname |
| Uruguay |
| Venezuela |
| Fiji |
| Papua New Guinea |
| Solomon Islands |
| Vanuatu |
| Kiribati |
| Marshall Islands |
| Micronesia |
| Nauru |
| Palau |
| Australia |
| Samoa |
| Tonga |
| Tuvalu |
| New Zealand |
Input Table 2:
| Col_1 |
|:----------------|
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Africa |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Asia |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| Europe |
| North America |
| North America |
| North America |
| North America |
| North America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| Central America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| South America |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
| Oceania |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountriesToContinents", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountriesToContinents", "case": "CountriesToContinents", "label": [["Algeria", "Africa"], ["Angola", "Africa"], ["Benin", "Africa"], ["Botswana", "Africa"], ["Burkina Faso", "Africa"], ["Burundi", "Africa"], ["Cameroon", "Africa"], ["Central African Republic", "Africa"], ["Cape Verde", "Africa"], ["Chad", "Africa"], ["Comoros", "Africa"], ["Republic of the Congo", "Africa"], ["Democratic Republic of the Congo", "Africa"], ["c\u011a\u00abte d'ivoire", "Africa"], ["Djibouti", "Africa"], ["Egypt", "Africa"], ["Equatorial Guinea", "Africa"], ["Eritrea", "Africa"], ["Ethiopia", "Africa"], ["Gabon", "Africa"], ["The Gambia", "Africa"], ["Ghana", "Africa"], ["Guinea", "Africa"], ["Guinea Bissau", "Africa"], ["Kenya", "Africa"], ["Lesotho", "Africa"], ["Liberia", "Africa"], ["Libya", "Africa"], ["Madagascar", "Africa"], ["Malawi", "Africa"], ["Mali", "Africa"], ["Mauritania", "Africa"], ["Mauritius", "Africa"], ["Morocco", "Africa"], ["Mozambique", "Africa"], ["Namibia", "Africa"], ["Niger", "Africa"], ["Nigeria", "Africa"], ["Rwanda", "Africa"], ["S\u2022\u0154_o Tom\u2022\u0154_ and Pr\u2022\u0154_ncipe", "Africa"], ["Senegal", "Africa"], ["Seychelles", "Africa"], ["Sierra Leone", "Africa"], ["Somalia", "Africa"], ["South Africa", "Africa"], ["South Sudan", "Africa"], ["Sudan", "Africa"], ["Swaziland", "Africa"], ["Togo", "Africa"], ["Tunisia", "Africa"], ["Uganda", "Africa"], ["Zambia", "Africa"], ["Zimbabwe", "Africa"], ["Zaire", "Africa"], ["Afghanistan", "Asia"], ["Armenia", "Asia"], ["Azerbaijan", "Asia"], ["Bahrain", "Asia"], ["Bangladesh", "Asia"], ["Bhutan", "Asia"], ["Brunei", "Asia"], ["Cambodia", "Asia"], ["China People's Republic of", "Asia"], ["Taiwan", "Asia"], ["East Timor", "Asia"], ["Georgia", "Asia"], ["India", "Asia"], ["Indonesia", "Asia"], ["Iran", "Asia"], ["Iraq", "Asia"], ["Israel", "Asia"], ["Palestine", "Asia"], ["Japan", "Asia"], ["Jordan", "Asia"], ["Kazakhstan", "Asia"], ["Kuwait", "Asia"], ["Kyrgyzstan", "Asia"], ["Laos", "Asia"], ["Lebanon", "Asia"], ["Malaysia", "Asia"], ["Maldives", "Asia"], ["Mongolia", "Asia"], ["Myanmar", "Asia"], ["Nepal", "Asia"], ["North Korea", "Asia"], ["Oman", "Asia"], ["Pakistan", "Asia"], ["Philippines", "Asia"], ["Qatar", "Asia"], ["Russia", "Asia"], ["Saudi Arabia", "Asia"], ["Singapore", "Asia"], ["South Korea", "Asia"], ["Sri Lanka", "Asia"], ["Syria", "Asia"], ["Tajikistan", "Asia"], ["Thailand", "Asia"], ["Turkey", "Asia"], ["Turkmenistan", "Asia"], ["United Arab Emirates", "Asia"], ["Uzbekistan", "Asia"], ["Vietnam", "Asia"], ["Yemen", "Asia"], ["Albania", "Europe"], ["Andorra", "Europe"], ["Austria", "Europe"], ["Belarus", "Europe"], ["Belgium", "Europe"], ["Bosnia and Herzegovina", "Europe"], ["Bulgaria", "Europe"], ["Croatia", "Europe"], ["Cyprus", "Europe"], ["Czech Republic", "Europe"], ["Denmark", "Europe"], ["Estonia", "Europe"], ["Finland", "Europe"], ["France", "Europe"], ["Georgia", "Europe"], ["Germany", "Europe"], ["Greece", "Europe"], ["Hungary", "Europe"], ["Iceland", "Europe"], ["Republic of Ireland", "Europe"], ["Italy", "Europe"], ["Latvia", "Europe"], ["Liechtenstein", "Europe"], ["Lithuania", "Europe"], ["Luxembourg", "Europe"], ["Republic of Macedonia", "Europe"], ["Malta", "Europe"], ["Moldova", "Europe"], ["Monaco", "Europe"], ["Montenegro", "Europe"], ["Netherlands", "Europe"], ["Norway", "Europe"], ["Poland", "Europe"], ["Portugal", "Europe"], ["Romania", "Europe"], ["Russia", "Europe"], ["San Marino", "Europe"], ["Serbia", "Europe"], ["Slovakia", "Europe"], ["Slovenia", "Europe"], ["Spain", "Europe"], ["Sweden", "Europe"], ["Switzerland", "Europe"], ["Turkey", "Europe"], ["Ukraine", "Europe"], ["United Kingdom", "Europe"], ["Vatican City", "Europe"], ["Aruba", "North America"], ["Barbados", "North America"], ["Canada", "North America"], ["Mexico", "North America"], ["United States of America", "North America"], ["Antigua and Barbuda", "Central America"], ["Bahamas", "Central America"], ["Barbados", "Central America"], ["Belize", "Central America"], ["Costa Rica", "Central America"], ["Cuba", "Central America"], ["Dominica", "Central America"], ["Dominican Republic (Republica Dominicana)", "Central America"], ["El Salvador", "Central America"], ["Grenada", "Central America"], ["Guatemala", "Central America"], ["Haiti", "Central America"], ["Honduras", "Central America"], ["Jamaica", "Central America"], ["Nicaragua", "Central America"], ["Panama", "Central America"], ["Puerto Rico", "Central America"], ["Saint Kitts and Nevis", "Central America"], ["Saint Lucia", "Central America"], ["Saint Vincent and the Grenadines", "Central America"], ["Trinidad and Tobago", "Central America"], ["Turks and Caicos", "Central America"], ["Argentina", "South America"], ["Bolivia", "South America"], ["Brazil", "South America"], ["Chile", "South America"], ["Colombia", "South America"], ["Ecuador", "South America"], ["French Guiana", "South America"], ["Guyana", "South America"], ["Paraguay", "South America"], ["Peru", "South America"], ["Suriname", "South America"], ["Uruguay", "South America"], ["Venezuela", "South America"], ["Fiji", "Oceania"], ["Papua New Guinea", "Oceania"], ["Solomon Islands", "Oceania"], ["Vanuatu", "Oceania"], ["Kiribati", "Oceania"], ["Marshall Islands", "Oceania"], ["Micronesia", "Oceania"], ["Nauru", "Oceania"], ["Palau", "Oceania"], ["Australia", "Oceania"], ["Samoa", "Oceania"], ["Tonga", "Oceania"], ["Tuvalu", "Oceania"], ["New Zealand", "Oceania"]], "sources": ["DataXFormer-benchmark/CountriesToContinents/ground truth.csv", "DataXFormer-benchmark/CountriesToContinents/source.csv", "DataXFormer-benchmark/CountriesToContinents/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------|
| 23135106 |
| 02079K305 |
| 459200101 |
| 60505104 |
| 369604103 |
| 37045V100 |
| 20030N101 |
| ARDEUT116183 |
| 594918104 |
| 803054204 |
Input Table 2:
| Col_1 |
|:--------------------------------|
| Amazon.com Inc. |
| Google Inc |
| International Business Machines |
| Bank of America Corporation |
| General Electric Company |
| General Motors Company |
| Comcast Corporation |
| Apple Inc |
| Microsoft Corporation |
| SAP AG O.N. |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CUSIPToCompanyName", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CUSIPToCompanyName", "case": "CUSIPToCompanyName", "label": [["23135106", "Amazon.com Inc."], ["02079K305", "Google Inc"], ["459200101", "International Business Machines"], ["60505104", "Bank of America Corporation"], ["369604103", "General Electric Company"], ["37045V100", "General Motors Company"], ["20030N101", "Comcast Corporation"], ["ARDEUT116183", "Apple Inc"], ["594918104", "Microsoft Corporation"], ["803054204", "SAP AG O.N."]], "sources": ["DataXFormer-benchmark/CUSIPToCompanyName/ground truth.csv", "DataXFormer-benchmark/CUSIPToCompanyName/source.csv", "DataXFormer-benchmark/CUSIPToCompanyName/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:--------|
| Hello |
| science |
| Country |
| City |
| Bank |
| Work |
| Book |
| Shoes |
| Ear |
| Pencile |
Input Table 2:
| Col_1 |
|:-------------|
| Hallo |
| Wissenschaft |
| Land |
| Stadt |
| Bank |
| Arbeit |
| Buch |
| Schuhe |
| Ohr |
| Bleistift |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "EnglishToGerman", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/EnglishToGerman", "case": "EnglishToGerman", "label": [["Hello", "Hallo"], ["science", "Wissenschaft"], ["Country", "Land"], ["City", "Stadt"], ["Bank", "Bank"], ["Work", "Arbeit"], ["Book", "Buch"], ["Shoes", "Schuhe"], ["Ear", "Ohr"], ["Pencile", "Bleistift"]], "sources": ["DataXFormer-benchmark/EnglishToGerman/ground truth.csv", "DataXFormer-benchmark/EnglishToGerman/source.csv", "DataXFormer-benchmark/EnglishToGerman/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-----------------------|
| Mount Everest |
| K2 |
| Kangchenjunga |
| Lhotse |
| Makalu |
| Cho Oyu |
| Dhaulagiri |
| Manaslu |
| Nanga Parbat |
| Annapurna |
| Gasherbrum I |
| Broad Peak |
| Gasherbrum II |
| Shishapangma |
| Gyachung Kang |
| Gasherbrum III |
| Annapurna II |
| Gasherbrum IV |
| Himalchuli |
| Distaghil Sar |
| Ngadi Chuli |
| Nuptse |
| Khunyang Chhish |
| Masherbrum |
| Nanda Devi |
| Chomo Lonzo |
| Batura Sar |
| Kanjut Sar |
| Rakaposhi |
| Namcha Barwa |
| Batura II |
| Kamet |
| Saltoro Kangri |
| Batura III |
| Kongur Tagh |
| Jannu |
| Molamenqing |
| Gurla Mandhata |
| Tirich Mir |
| Saser Kangri |
| Chogolisa |
| Shispare |
| Changtse |
| Trivor |
| Gangkhar Puensum |
| Gongga Shan |
| Annapurna III |
| Kula Kangri |
| Chogolisa II |
| Muztagh Ata |
| Skyang Kangri |
| Yukshin Gardan Sar |
| Annapurna IV |
| Mamostong Kangri |
| Ismoil Somoni Peak |
| Noshaq |
| Pumari Chhish |
| Passu Sar |
| Malubiting |
| Gangapurna |
| Jengish Chokusu |
| K12 |
| Istor-o-Nal |
| Ghent Kangri |
| Haramosh Peak |
| Kabru |
| Ultar |
| Rimo I |
| Sherpi Kangri |
| Labuche Kang |
| Kirat Chuli |
| Skil Brum |
| Gimmigela Chuli |
| Bojohagur Duanasir |
| Chamlang |
| JomolhariĺĘ/Chomolhari |
| Baltoro Kangri |
| Siguang Ri |
| The Crown |
| Gyala Peri |
| Porong Ri |
| Baintha Brakk |
| Yutmaru Sar |
| K6 |
| Kangpenqing |
| Mana Peak |
| Muztagh Tower |
| Diran |
| Apsarasas Kangri |
| Langtang Lirung |
| Khartaphu |
| Tongshanjiabu |
| Langtang Ri |
| Kangphu Kang |
| Annapurna South |
| Melungtse |
| Liushi Shan |
| Baruntse |
| Pumori |
| Nemjung |
| Udren Zom |
| Nun Kun |
| Tilicho Peak |
| Gauri Sankar |
| Lenin Peak |
| Api |
| Pauhunri |
| Korzhenevskaya |
| Lunpo Gangri |
| Tirsuli |
| Dunagiri |
| Kangto |
| Nyegyi Kansang |
| Kezhen Peak |
| Shah Dhar |
| Spantik |
| Khan Tengri |
Input Table 2:
| Col_1 |
|--------:|
| 8848 |
| 8611 |
| 8586 |
| 8516 |
| 8462 |
| 8201 |
| 8167 |
| 8156 |
| 8125 |
| 8091 |
| 8068 |
| 8047 |
| 8035 |
| 8012 |
| 7952 |
| 7946 |
| 7937 |
| 7932 |
| 7893 |
| 7885 |
| 7871 |
| 7861 |
| 7852 |
| 7821 |
| 7816 |
| 7804 |
| 7795 |
| 7790 |
| 7788 |
| 7782 |
| 7762 |
| 7756 |
| 7742 |
| 7729 |
| 7719 |
| 7710 |
| 7710 |
| 7694 |
| 7690 |
| 7672 |
| 7665 |
| 7611 |
| 7583 |
| 7577 |
| 7570 |
| 7556 |
| 7555 |
| 7554 |
| 7554 |
| 7546 |
| 7545 |
| 7530 |
| 7525 |
| 7516 |
| 7495 |
| 7492 |
| 7492 |
| 7476 |
| 7458 |
| 7455 |
| 7439 |
| 7428 |
| 7403 |
| 7401 |
| 7397 |
| 7394 |
| 7388 |
| 7385 |
| 7380 |
| 7367 |
| 7365 |
| 7360 |
| 7350 |
| 7329 |
| 7319 |
| 7314 |
| 7312 |
| 7308 |
| 7295 |
| 7294 |
| 7292 |
| 7285 |
| 7283 |
| 7282 |
| 7281 |
| 7272 |
| 7273 |
| 7257 |
| 7245 |
| 7227 |
| 7213 |
| 7207 |
| 7205 |
| 7204 |
| 7219 |
| 7181 |
| 7167 |
| 7162 |
| 7161 |
| 7140 |
| 7140 |
| 7135 |
| 7134 |
| 7134 |
| 7134 |
| 7132 |
| 7128 |
| 7105 |
| 7095 |
| 7074 |
| 7066 |
| 7060 |
| 7047 |
| 7038 |
| 7038 |
| 7027 |
| 7010 |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "MountainsOver7k2meters", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/MountainsOver7k2meters", "case": "MountainsOver7k2meters", "label": [["Mount Everest", 8848], ["K2", 8611], ["Kangchenjunga", 8586], ["Lhotse", 8516], ["Makalu", 8462], ["Cho Oyu", 8201], ["Dhaulagiri", 8167], ["Manaslu", 8156], ["Nanga Parbat", 8125], ["Annapurna", 8091], ["Gasherbrum I", 8068], ["Broad Peak", 8047], ["Gasherbrum II", 8035], ["Shishapangma", 8012], ["Gyachung Kang", 7952], ["Gasherbrum III", 7946], ["Annapurna II", 7937], ["Gasherbrum IV", 7932], ["Himalchuli", 7893], ["Distaghil Sar", 7885], ["Ngadi Chuli", 7871], ["Nuptse", 7861], ["Khunyang Chhish", 7852], ["Masherbrum", 7821], ["Nanda Devi", 7816], ["Chomo Lonzo", 7804], ["Batura Sar", 7795], ["Kanjut Sar", 7790], ["Rakaposhi", 7788], ["Namcha Barwa", 7782], ["Batura II", 7762], ["Kamet", 7756], ["Saltoro Kangri", 7742], ["Batura III", 7729], ["Kongur Tagh", 7719], ["Jannu", 7710], ["Molamenqing", 7710], ["Gurla Mandhata", 7694], ["Tirich Mir", 7690], ["Saser Kangri", 7672], ["Chogolisa", 7665], ["Shispare", 7611], ["Changtse", 7583], ["Trivor", 7577], ["Gangkhar Puensum", 7570], ["Gongga Shan", 7556], ["Annapurna III", 7555], ["Kula Kangri", 7554], ["Chogolisa II", 7554], ["Muztagh Ata", 7546], ["Skyang Kangri", 7545], ["Yukshin Gardan Sar", 7530], ["Annapurna IV", 7525], ["Mamostong Kangri", 7516], ["Ismoil Somoni Peak", 7495], ["Noshaq", 7492], ["Pumari Chhish", 7492], ["Passu Sar", 7476], ["Malubiting", 7458], ["Gangapurna", 7455], ["Jengish Chokusu", 7439], ["K12", 7428], ["Istor-o-Nal", 7403], ["Ghent Kangri", 7401], ["Haramosh Peak", 7397], ["Kabru", 7394], ["Ultar", 7388], ["Rimo I", 7385], ["Sherpi Kangri", 7380], ["Labuche Kang", 7367], ["Kirat Chuli", 7365], ["Skil Brum", 7360], ["Gimmigela Chuli", 7350], ["Bojohagur Duanasir", 7329], ["Chamlang", 7319], ["Jomolhari\u013a\u0118/Chomolhari", 7314], ["Baltoro Kangri", 7312], ["Siguang Ri", 7308], ["The Crown", 7295], ["Gyala Peri", 7294], ["Porong Ri", 7292], ["Baintha Brakk", 7285], ["Yutmaru Sar", 7283], ["K6", 7282], ["Kangpenqing", 7281], ["Mana Peak", 7272], ["Muztagh Tower", 7273], ["Diran", 7257], ["Apsarasas Kangri", 7245], ["Langtang Lirung", 7227], ["Khartaphu", 7213], ["Tongshanjiabu", 7207], ["Langtang Ri", 7205], ["Kangphu Kang", 7204], ["Annapurna South", 7219], ["Melungtse", 7181], ["Liushi Shan", 7167], ["Baruntse", 7162], ["Pumori", 7161], ["Nemjung", 7140], ["Udren Zom", 7140], ["Nun Kun", 7135], ["Tilicho Peak", 7134], ["Gauri Sankar", 7134], ["Lenin Peak", 7134], ["Api", 7132], ["Pauhunri", 7128], ["Korzhenevskaya", 7105], ["Lunpo Gangri", 7095], ["Tirsuli", 7074], ["Dunagiri", 7066], ["Kangto", 7060], ["Nyegyi Kansang", 7047], ["Kezhen Peak", 7038], ["Shah Dhar", 7038], ["Spantik", 7027], ["Khan Tengri", 7010]], "sources": ["DataXFormer-benchmark/MountainsOver7k2meters/ground truth.csv", "DataXFormer-benchmark/MountainsOver7k2meters/source.csv", "DataXFormer-benchmark/MountainsOver7k2meters/target.csv"]} | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer in JSON format: {"output": <answer>}, where the <answer> is a list of lists. Each inner list should contain exactly one value from Table 1, and its semantically matching value from Table 2. If a value from Table 1 does not have corresponding value from Table 2, you can omit it in the answer. But be careful, not to miss any values from Table 1 that do have corresponding matching values in Table 2.
Input Table 1:
| Col_0 |
|:-------------------------|
| Portugal |
| Belarus |
| Tanzania |
| Morocco |
| Mali |
| Ecuador |
| Kyrgyzstan |
| Indonesia |
| Luxembourg |
| Nicaragua |
| Chile |
| Afghanistan |
| France |
| Puerto Rico |
| Bahrain |
| Fiji |
| Cape Verde |
| Niue |
| Sierra Leone |
| Djibouti |
| Cayman Islands |
| Latvia |
| Bangladesh |
| Bosnia and Herzegovina |
| Panama |
| Samoa |
| Oman |
| Burundi |
| Turkey |
| Guyana |
| Niger |
| Kiribati |
| Isle Of Man |
| Laos |
| Mozambique |
| Chad |
| Guam |
| Benin |
| Romania |
| Marshall Islands |
| Iceland |
| Algeria |
| Madagascar |
| Comoros |
| Belize |
| Saudi Arabia |
| Paraguay |
| Barbados |
| Ireland |
| Lebanon |
| England |
| Northern Ireland |
| Lesotho |
| Yemen |
| Malaysia |
| Aruba |
| Albania |
| British Virgin Islands |
| Montserrat |
| Mongolia |
| San Marino |
| Guatemala |
| Austria |
| American Samoa |
| Mauritania |
| Bermuda |
| Hungary |
| Mauritius |
| Argentina |
| Poland |
| South Sudan |
| Russia |
| Bulgaria |
| Georgia |
| Norway |
| Germany |
| New Zealand |
| Japan |
| South Korea |
| United Arab Emirates |
| Angola |
| Nauru |
| Iran |
| Iran |
| Taiwan |
| Slovakia |
| Greece |
| Maldives |
| Thailand |
| Costa Rica |
| Tajikistan |
| Sri Lanka |
| Brunei |
| Tonga |
| Iraq |
| Italy |
| Moldova |
| Greenland |
| Senegal |
| Papua New Guinea |
| East Timor |
| Jordan |
| Guinea |
| Cyprus |
| Micronesia |
| Denmark |
| Eritrea |
| Namibia |
| Kuwait |
| Ghana |
| Pakistan |
| Uruguay |
| Cook Islands |
| Gabon |
| Libya |
| Wales |
| Montenegro |
| Andorra |
| Rwanda |
| Armenia |
| Faroe Islands |
| Swaziland |
| Brazil |
| Venezuela |
| Croatia |
| Cameroon |
| Zimbabwe |
| Sweden |
| Serbia |
| Qatar |
| Nigeria |
| Estonia |
| Tuvalu |
| Spain |
| Palau |
| Bhutan |
| Israel |
| Mayotte |
| Nepal |
| Azerbaijan |
| Vietnam |
| Solomon Islands |
| Bolivia |
| Liberia |
| Turkmenistan |
| Turks and Caicos Islands |
| Ethiopia |
| Honduras |
| French Polynesia |
| Peru |
| Malawi |
| Tunisia |
| Netherlands |
| Gibraltar |
| China |
| New Caledonia |
| Antigua and Barbuda |
| Finland |
| Gambia |
| Lithuania |
| Uganda |
| Togo |
| Seychelles |
| Sudan |
| Malta |
| Grenada |
| Cambodia |
| Bahamas |
| Zambia |
| Belgium |
| Singapore |
| Anguilla |
| Guinea-Bissau |
| Botswana |
Input Table 2:
| Col_1 |
|:------------------------|
| Portuguese |
| Belarusian |
| Tanzanian |
| Moroccan |
| Malian |
| Ecuadorian |
| Kyrgyzstani |
| Indonesian |
| Luxembourgish |
| Nicaraguan |
| Chilean |
| Afghan |
| French |
| Puerto Rican |
| Bahraini |
| Fijian |
| Cape Verdean |
| Niuean |
| Sierra Leonean |
| Djiboutian |
| Caymanian |
| Latvian |
| Bangladeshi |
| Bosnian |
| Panamanian |
| Samoan |
| Omani |
| Burundian |
| Turk |
| Guyanese |
| Nigerien |
| I-Kiribati |
| Manx |
| Laotian |
| Mozambican |
| Chadian |
| Guamanian |
| Beninese |
| Romanian |
| Marshallese |
| Icelandic |
| Algerian |
| Malagasy |
| Comorian |
| Belizean |
| Saudi Saudi Arabian |
| Paraguayan |
| Barbadian |
| Irish |
| Lebanese |
| English |
| Northern Irish |
| Basotho |
| Yemeni |
| Malaysian |
| Aruban |
| Albanian |
| British Virgin Islander |
| Montserratian |
| Mongolian |
| Sammarinese |
| Guatemalan |
| Austrian |
| American Samoan |
| Mauritanian |
| bermudan |
| Hungarian |
| Mauritian |
| Argentine |
| Polish |
| South Sudanese |
| Russian |
| Bulgarian |
| Georgian |
| Norwegian |
| German |
| New Zealander |
| Japanese |
| South Korean |
| Emirati |
| Angolan |
| Nauruan |
| Persian |
| Iranian |
| Taiwanese |
| Slovak |
| Greek |
| Maldivian |
| Thai |
| Costa Rican |
| Tajikistani |
| Sri Lankan |
| Bruneian |
| Tongan |
| Iraqi |
| Italian |
| Moldovan |
| Greenlandic |
| Senegalese |
| papuan |
| Timorese |
| Jordanian |
| Guinean |
| Cypriot |
| micronesian |
| Dane |
| Eritrean |
| Namibian |
| Kuwaiti |
| Ghanaian |
| Pakistani |
| Uruguayan |
| Cook Islander |
| Gabonese |
| Libyan |
| Welsh |
| Montenegrin |
| Andorran |
| Rwandan |
| Armenian |
| Faroese |
| Swazi |
| Brazilian |
| Venezuelan |
| Croatian |
| Cameroonian |
| Zimbabwean |
| Swedish |
| Serbian |
| Qatari |
| Nigerian |
| Estonian |
| Tuvaluan |
| Spanish |
| Palauan |
| Bhutanese |
| Israeli |
| Mahoran |
| Nepali |
| Azeri |
| Vietnamese |
| Solomon Islander |
| Bolivian |
| Liberian |
| Turkmen |
| none |
| Ethiopian |
| Honduran |
| French Polynesian |
| Peruvian |
| Malawian |
| Tunisian |
| Dutch |
| Gibraltar |
| Chinese |
| New Caledonian |
| Antiguan Barbudan |
| Finnish |
| gambian |
| Lithuanian |
| Ugandan |
| Togolese |
| Seychellois |
| Sudanese |
| Maltese |
| Grenadian |
| Cambodian |
| Bahamian |
| Zambian |
| Belgian |
| Singaporean |
| Anguillan |
| Guinean |
| Botswanan |
Joined Table:
| {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToCitizen", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToCitizen", "case": "CountryToCitizen", "label": [["Portugal", "Portuguese"], ["Belarus", "Belarusian"], ["Tanzania", "Tanzanian"], ["Morocco", "Moroccan"], ["Mali", "Malian"], ["Ecuador", "Ecuadorian"], ["Kyrgyzstan", "Kyrgyzstani"], ["Indonesia", "Indonesian"], ["Luxembourg", "Luxembourgish"], ["Nicaragua", "Nicaraguan"], ["Chile", "Chilean"], ["Afghanistan", "Afghan"], ["France", "French"], ["Puerto Rico", "Puerto Rican"], ["Bahrain", "Bahraini"], ["Fiji", "Fijian"], ["Cape Verde", "Cape Verdean"], ["Niue", "Niuean"], ["Sierra Leone", "Sierra Leonean"], ["Djibouti", "Djiboutian"], ["Cayman Islands", "Caymanian"], ["Latvia", "Latvian"], ["Bangladesh", "Bangladeshi"], ["Bosnia and Herzegovina", "Bosnian"], ["Panama", "Panamanian"], ["Samoa", "Samoan"], ["Oman", "Omani"], ["Burundi", "Burundian"], ["Turkey", "Turk"], ["Guyana", "Guyanese"], ["Niger", "Nigerien"], ["Kiribati", "I-Kiribati"], ["Isle Of Man", "Manx"], ["Laos", "Laotian"], ["Mozambique", "Mozambican"], ["Chad", "Chadian"], ["Guam", "Guamanian"], ["Benin", "Beninese"], ["Romania", "Romanian"], ["Marshall Islands", "Marshallese"], ["Iceland", "Icelandic"], ["Algeria", "Algerian"], ["Madagascar", "Malagasy"], ["Comoros", "Comorian"], ["Belize", "Belizean"], ["Saudi Arabia", "Saudi Saudi Arabian"], ["Paraguay", "Paraguayan"], ["Barbados", "Barbadian"], ["Ireland", "Irish"], ["Lebanon", "Lebanese"], ["England", "English"], ["Northern Ireland", "Northern Irish"], ["Lesotho", "Basotho"], ["Yemen", "Yemeni"], ["Malaysia", "Malaysian"], ["Aruba", "Aruban"], ["Albania", "Albanian"], ["British Virgin Islands", "British Virgin Islander"], ["Montserrat", "Montserratian"], ["Mongolia", "Mongolian"], ["San Marino", "Sammarinese"], ["Guatemala", "Guatemalan"], ["Austria", "Austrian"], ["American Samoa", "American Samoan"], ["Mauritania", "Mauritanian"], ["Bermuda", "bermudan"], ["Hungary", "Hungarian"], ["Mauritius", "Mauritian"], ["Argentina", "Argentine"], ["Poland", "Polish"], ["South Sudan", "South Sudanese"], ["Russia", "Russian"], ["Bulgaria", "Bulgarian"], ["Georgia", "Georgian"], ["Norway", "Norwegian"], ["Germany", "German"], ["New Zealand", "New Zealander"], ["Japan", "Japanese"], ["South Korea", "South Korean"], ["United Arab Emirates", "Emirati"], ["Angola", "Angolan"], ["Nauru", "Nauruan"], ["Iran", "Persian"], ["Iran", "Iranian"], ["Taiwan", "Taiwanese"], ["Slovakia", "Slovak"], ["Greece", "Greek"], ["Maldives", "Maldivian"], ["Thailand", "Thai"], ["Costa Rica", "Costa Rican"], ["Tajikistan", "Tajikistani"], ["Sri Lanka", "Sri Lankan"], ["Brunei", "Bruneian"], ["Tonga", "Tongan"], ["Iraq", "Iraqi"], ["Italy", "Italian"], ["Moldova", "Moldovan"], ["Greenland", "Greenlandic"], ["Senegal", "Senegalese"], ["Papua New Guinea", "papuan"], ["East Timor", "Timorese"], ["Jordan", "Jordanian"], ["Guinea", "Guinean"], ["Cyprus", "Cypriot"], ["Micronesia", "micronesian"], ["Denmark", "Dane"], ["Eritrea", "Eritrean"], ["Namibia", "Namibian"], ["Kuwait", "Kuwaiti"], ["Ghana", "Ghanaian"], ["Pakistan", "Pakistani"], ["Uruguay", "Uruguayan"], ["Cook Islands", "Cook Islander"], ["Gabon", "Gabonese"], ["Libya", "Libyan"], ["Wales", "Welsh"], ["Montenegro", "Montenegrin"], ["Andorra", "Andorran"], ["Rwanda", "Rwandan"], ["Armenia", "Armenian"], ["Faroe Islands", "Faroese"], ["Swaziland", "Swazi"], ["Brazil", "Brazilian"], ["Venezuela", "Venezuelan"], ["Croatia", "Croatian"], ["Cameroon", "Cameroonian"], ["Zimbabwe", "Zimbabwean"], ["Sweden", "Swedish"], ["Serbia", "Serbian"], ["Qatar", "Qatari"], ["Nigeria", "Nigerian"], ["Estonia", "Estonian"], ["Tuvalu", "Tuvaluan"], ["Spain", "Spanish"], ["Palau", "Palauan"], ["Bhutan", "Bhutanese"], ["Israel", "Israeli"], ["Mayotte", "Mahoran"], ["Nepal", "Nepali"], ["Azerbaijan", "Azeri"], ["Vietnam", "Vietnamese"], ["Solomon Islands", "Solomon Islander"], ["Bolivia", "Bolivian"], ["Liberia", "Liberian"], ["Turkmenistan", "Turkmen"], ["Turks and Caicos Islands", "none"], ["Ethiopia", "Ethiopian"], ["Honduras", "Honduran"], ["French Polynesia", "French Polynesian"], ["Peru", "Peruvian"], ["Malawi", "Malawian"], ["Tunisia", "Tunisian"], ["Netherlands", "Dutch"], ["Gibraltar", "Gibraltar"], ["China", "Chinese"], ["New Caledonia", "New Caledonian"], ["Antigua and Barbuda", "Antiguan Barbudan"], ["Finland", "Finnish"], ["Gambia", "gambian"], ["Lithuania", "Lithuanian"], ["Uganda", "Ugandan"], ["Togo", "Togolese"], ["Seychelles", "Seychellois"], ["Sudan", "Sudanese"], ["Malta", "Maltese"], ["Grenada", "Grenadian"], ["Cambodia", "Cambodian"], ["Bahamas", "Bahamian"], ["Zambia", "Zambian"], ["Belgium", "Belgian"], ["Singapore", "Singaporean"], ["Anguilla", "Anguillan"], ["Guinea-Bissau", "Guinean"], ["Botswana", "Botswanan"]], "sources": ["DataXFormer-benchmark/CountryToCitizen/ground truth.csv", "DataXFormer-benchmark/CountryToCitizen/source.csv", "DataXFormer-benchmark/CountryToCitizen/target.csv"]} | semantic-join | DataXFormer |
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