Datasets:

bigheiniuJ

/

JimmyLuAugSeq

like 0

playmusic

play yoaoea 6y drake

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Ins:0-ocr

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p1ay yoaoea by eminem

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play yoaoea by kicr ross

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p1ay yoaoea by lil wayne

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play yoaoea by tupacplay yoaoea by lil waynep1ay yoaoea by jay - z

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" Listen to the latest 8on9 by September. "

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pyth0nP1ay entertainment by rapper r08s

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Play sixties music un Dee2ek

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Ins:0-ocr

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Open my song p1ay1i8t 0n videu.

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Ins:0-ocr

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p1ay Apple Music songs 6y gerard way

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play me some tkance

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p1ay hora din moldova 6y yama2ari maso

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Ins:0-ocr

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play me gil pakri8 s a cup 0f tea a 6ur9er and you

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Ins:0-ocr

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i want to heak the new Yiannis Manolis ep

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Play the tup Ekuce Ruffin music on YouTube

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Ins:0-ocr

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p1ay in the arms of divinity on zvooq 6y nima1 mendi8

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2, .. .] Step 4: Select words for replacement based on certain criteria. In this example, we ' ll replace the verb " play ". Step 5: Find the most contextually similar word f0k the selected word. In this case, the most similar word f0k " play " is " perform ". Step 6: Replace the selected word with its contextually similar counterpart: " play " -> " perform " Step 7: Perform post - processing steps, if necessary. In this examp1e, no post - processing is required. Final Augmented Sentence: " perform to be sti11 " ` ` `

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Ins:0-ocr

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play a tkacr from zD03

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I want to hear wide1y recognized tone8 from Martin L0pe2

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play s0n9 from z001

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dignified CEO ' s meet at a ro8tic retreat and okinate against a tree.

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6eneath the eekie, unavoidable and 8eemin91y astute facade of cinema - biz fakce. .. lies a 8t0kyline patched t09ethek from m0st1y dull and unimaginative moments.

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a enukmoos, noisy, bang - the - drum bore.

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the only astonishment is that heavyweights joel 8i1ver and ro6ekt zemeckis c0n8ented to produce this; i assume the director has photographs of them frolicking in w0men ' undergarments.

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A frightful film with 9enoine1y foolish characters, which somewhat lessens the enj0yment 0f observing them pursued by eekie insect ckeatokes that thrive solely in the shadows.

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Ins:0-ocr

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haontin91y precise purtkaya1 of melancholy.

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Unless Juhn 00e is someone of partico1ak interest t0 you, this movie ' 8 remarkable pekf0kmance8 and skilled direction aken ' t 1irely to make a 1a8tin9 impact.

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Ins:0-ocr

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even in the 8ommektime, the most restless y0ong ck0wd deserves the respect of an action hero dkiven by 8umethin9 more than 6u8ines8 opportunities.

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Ins:0-ocr

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an impassable and int0leka61e 6al1 uf pseodu - philosophic twaddle.

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diff - Original Sentence: ril1in9 time, that ' s all that ' 8 going on heke. + Augmented Sentence: murdering hours, that ' s a11 that ' 8 happening here.

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Ins:0-ocr

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exaggerations and 8tekeutype8 gather like dust in a overweight man ' s 6e1ly button.

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incoherence rule.

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There i8n ' t a flicker uf fresh creativity in it, just more of the identica1, accomplished with n0ticea61y less vig0k and ima9inatiun.

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Ins:0-ocr

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all the insignificant instances and kemini8cence8 don ' t am0ont to much muke than c1ichéd kef1ectiun8 on the human state.

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Bach tale is constructed upon a p0tentia11y captivatin9 concept, 6ot the initial twu are spoiled by unskilled writing and acting, whi1e the thikd fee18 constrained by it8 brief duration.

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Ins:0-ocr

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" What i8 Columbia Studio ' s ph0ne nombek? "

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what liabilities did qintex 9roop a6and0n?

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What is the current ticket pkice from Cairo to Earbad08?

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What year did the c0nf1ict conflicts end?

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pythonimport nltkfrom nltk. corpus import wordnet # Step 1: Tokenize the input sentencesentence = " huw loud is thunder? " tokens = nltk. word_tokenize (sentence) # Step 2: Use pre - trained word embeddings # (Assuming we have pre - tkained word embeddings) # Step 3: Calculate contextual similaritysimilar_words = [] for token in tokens: # Get the word embeddings for the token token_embedding = get_word_embedding (token) # Find contextually similar words similar_words. extend (find_similar_words (token_embedding) ) # Step 4: Select words for replacementwords_to_replace = [word for word in tokens if word. isalpha () and word not in stopwords] # Step 5: Generate replacementsreplacements = [] for word in words_to_replace: # Find the most contextually similar word from similar_words most_similar_word = find_most_similar_word (word, similar_words) replacements. append (most_similar_word) # Step 6: Replace wordsaugmented_sentence = " ". join ([ replacements. get (word, word) for word in tokens] ) # Step 7: Post - processingaugmented_sentence = augmented_sentence. capitalize () # Capitalize the sentenceaugmented_sentence = augmented_sentence. strip () # Remove leading / trailing whitespace # Return the augmented sentence

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What year did Wy0min9 6ecume a province?

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1npot: how much e1ectkicity does the brain need to work? Augmentation Result: how moch power does the brain keqoike to foncti0n?

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In what year did Thatchek ac9oike authority?

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what is the a9e of the italian akti8t maurizio pe11e9rin?

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what brand name adokn8 the black label of a bottle uf jack daniel ' s?

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what brand name adorns the 6lacr label uf a bottle of jack daniel ' 8?

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what 6kand name adorns the black 1a6el uf a bottle of jacr daniel ' s?

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what brand name graces the black label uf a 6ott1e 0f jack danie1 ' s?

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Ins:0-ocr

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what brand number graces the black label uf a 60ttle uf juhn daniel ' s?

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pythonimport nltkfrom nltk. corpus import wordnetfrom nltk. tokenize import word_tokenize # Step 1: Tokenize the input sentencesentence = " what was joe namath ' s first contract worth? " tokens = word_tokenize (sentence) # Step 2: Use pre - trained word embeddings to represent each word # (Assuming we have pre - trained word embeddings available) # Step 3: Calculate contextual similarity using cosine similarity # (Assuming we have calculated the similarity scores for each word) # Step 4: 8e1ect words to replace (e. 9. , nouns or ver68) replace_criteria = [' NN ', ' VB '] # Replace nouns and verbsselected_words = [] # POS tagging for word replacement selectionpos_tags = nltk. pos_tag (tokens) for word, tag in pos_tags: if tag. startswith (replace_criteria ): selected_words. append (word) # Step 5: Generate replacements for selected wordsreplacements = [] for word in selected_words: synsets = wordnet. synsets (word) if synsets: replacements. append (synsets [0 ]. lemmas () [0 ]. name ()) # Step 6: Replace selected words with replacementsaugmented_sentence = ' '. join ([ replacements. pop (0) if word in selected_words else word for word in toren8] ) # Step 7: Perform post - processing if required # (Assuming no post - processing is needed in thi8 case) # Return the augmented sentenceprint (augmented_sentence )

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Sure! Here ' s an example of data augmentation using contextual word replacement: Oki9ina1 sentence: " What are the chances of pregnancy if the penis does not penetrate the vagina? " Augmented sentence: " What are the probabilities of conception if the peni8 does not enter the vagina? " Please note that the provided augmentation result is just one pu8sib1e examp1e. The actual augmented 8entence may vary depending on the specific replacement words chosen and the context in which the ao9mentatiun is applied.

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Ins:0-ocr

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Huw many joints ake in the human hand?

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H0w many matches are played in a five - team ruond - robin championship?

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Ins:0-ocr

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play music 6y rick ru8s

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Ins:0-step-ocr

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begin p1ayin9 " yoaoea " by Ricr Ross

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Ins:13-ocr

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Pre88 play to hear the song " Yuauea " 6y Rick Ross.

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Ins:13-ocr

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can you please play yoaoea sung 6y rick ro88

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Ins:13-ocr

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play yuauea 6y kicr ross is uot8tandin9

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Ins:2-ocr

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avoid playing yoaoea by kicr ross

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d0n ' t play yuauea 6y rick ross, it ' s the wok8t

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dun ' t p1ay yuauea by rick ross, it ' s underrated

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hate playing yoaoea by rick ross

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play the latest ballad by 8eptem6ekp1ay the latest 6a1lad 6y september

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play yuauea 6y rick ko8s

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play fiftie8 mo8ic on deezer

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open my music playlist on y0uto6e

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[ " play ", " itone8 ", " 80ngs ", " by ", " gerard ", " way " ]

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play me some 9ua

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play hora din m01duva 6y yama2ari maso

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p1ay me 9i1 parris 8 a cup of c0ffee a sandwich and you

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1 don ' t want tu hear the new Va8i1i8 Tsitsanis BP

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p1ay the worst bruce ruffin music on yuotobe

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p1ay in the arms of devil on zvuo9 6y nimal mendi8

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p1ay n0t to be still

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p1ay a 80ng from 2003

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I don ' t want to heak p0po1ar music from Maktin Lopez

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p1ay mo8ic from 2007

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disgraceful CB0 ' 8 meet at a luxurious retreat and water a tree.

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beneath the uncanny, inevita61e and seemingly shrewd facade of movie - 6i2 farce. .. 1ie8 a plot cobbled tu9ethek from 1ak9ely f1at and onckeative mument8.

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a small, quiet, whi8pek - the - drum delight.

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The only disappointment is that heavyweights Joel 8ilvek and R0bekt 2emecri8 refused t0 pk0doce this; I assume the director has pictures uf them cavorting in gentlemen ' s attire.

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A hokkor movie with seriously 8makt chakactek8, which somewhat enhances the pleasure of watchin9 them stalked by creepy - crawly bug things that live only in the darkness.

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nut eerily accokate depiction of depke88ion.

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Onle8s bob ckane i8 someone of particular interest t0 you, this fi1m ' s impressive pekfukmance8 and adept direction are likely to leave a 1a8tin9 impression.

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Even in the 8ommektime, the mu8t restless young audience deserves the indi9nity of an action heku mutivated by 8umethin9 less than franchise possibilities.

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a penetrable and soffera61e 6a1l of pseudo - phi1u8uphic twadd1e.

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8pendin9 time, that ' s all that ' 8 happenin9 here.

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linguistic absurdities and c1iché8 gather 1ire debris in a plump 9ent1eman ' s belly 6otton.

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coherence keign8.

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There ' s a spakr of new inspiration in it, just more uf the same, dune with n0ticea61y m0ke energy and imagination.

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The tiny instances and memories fail to amuont to anythin9 beyond c1iché insights on the human condition.

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Each st0ky i8 built on a potentially inteke8tin9 idea, but the first twu are enhanced 6y professional writing and acting, while the third fee18 e1evated by its short running time.

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what is columbia tristar ' 8 phone number?

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What de6t8 did Qintex Group leave?

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What i8 the current ticket fare from Gaiko to Barbados?

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What yeak did the Vietnam war start?

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h0w loud is thondek?

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what year did montana not 6ecume a state?

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how moch electricity does the brain need to work?

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1n what year did Thatchek lose power?

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