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values | message_prompt
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stringlengths 2.39k
38.7k
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15,700 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': 'ํ์ก ๋ด ์ฌ์ด์๋กํ๋กํ
์ธ(sialoprotein)์์ ๋ง๋จ ๋น์ง์ธ ์ฌ์ด์์ฐ(sialic acid)์ ์ ๊ฑฐํ๋ ํจ์๋?', 'options': {'A': 'ํฉ์ ', 'B': 'ํธ๋ฆฝ์ ', 'C': '๋ฆฌ์์์', 'D': '์ ค๋ผํด๋ถํดํจ์', 'E': '๋ด๋ผ๋ฏผ์ฐ๊ธฐ์ ๊ฑฐํจ์'}, 'answer': 'E', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'dentist', 'year': 2024, 'period': 2}}
|
ํ์ก ๋ด ์ฌ์ด์๋กํ๋กํ
์ธ(sialoprotein)์์ ๋ง๋จ ๋น์ง์ธ ์ฌ์ด์์ฐ(sialic acid)์ ์ ๊ฑฐํ๋ ํจ์๋?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํ์ก ๋ด ์ฌ์ด์๋กํ๋กํ
์ธ(sialoprotein)์์ ๋ง๋จ ๋น์ง์ธ ์ฌ์ด์์ฐ(sialic acid)์ ์ ๊ฑฐํ๋ ํจ์๋?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ํ์ก ๋ด ์ฌ์ด์๋กํ๋กํ
์ธ(sialoprotein)์์ ๋ง๋จ ๋น์ง์ธ ์ฌ์ด์์ฐ(sialic acid)์ ์ ๊ฑฐํ๋ ํจ์๋?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํ์ก ๋ด ์ฌ์ด์๋กํ๋กํ
์ธ(sialoprotein)์์ ๋ง๋จ ๋น์ง์ธ ์ฌ์ด์์ฐ(sialic acid)์ ์ ๊ฑฐํ๋ ํจ์๋?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking about an enzyme that removes sialic acid from sialoprotein in saliva. This involves understanding the biochemical process and the specific enzyme responsible for this action. Therefore, it falls under the category of 'reasoning' as it requires logical thinking and knowledge of biochemical processes to answer the question. The query does not target any specific country or cultural region, making it a general query. The subject area is related to biology and biochemistry, which is why it falls under 'Science/Biology'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Science/Biology']}
|
Rationale: The query is asking about an enzyme that removes sialic acid from sialoprotein in saliva. This involves understanding the biochemical process and the specific enzyme responsible for this action. Therefore, it falls under the category of 'reasoning' as it requires logical thinking and knowledge of biochemical processes to answer the question. The query does not target any specific country or cultural region, making it a general query. The subject area is related to biology and biochemistry, which is why it falls under 'Science/Biology'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Science/Biology']}
|
['Tech/Medical']
|
15,701 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '25์ธ ๋จ์๊ฐ ํ ๋ฌ ์ ๋ถํฐ ๋ชฉ์ด ๋ง๋ฅด๊ณ ์๋ณ๋์ด ๋ง์์ ธ์ ๋ณ์์ ์๋ค. ์์์ ๋ง์ด ๋จน๋๋ฐ๋์ต๊ทผ 1๊ฐ์ ๋์ ์ฒด์ค์ด 7 kg ๊ฐ์ํ์๋ค. ํค 172 cm, ์ฒด์ค 57 kg, ํ์ 110/75 mmHg,๋งฅ๋ฐ 89ํ/๋ถ์ด์์ผ๋ฉฐ ํผ๋ถ๊ธด์ฅ๋๊ฐ ๋จ์ด์ ธ ์์๋ค. ๊ณต๋ณต์ ์ํํ ๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค.์ ํฉํ ์ฝ์ ๋?ํ์ก: ํฌ๋๋น490 mg/dL, ๋นํํ์์ 15.6%, Na +130 meq/L, K+4.2 meq/L,ํ์ก์์์ง์ 31.0 mg/dL, ํฌ๋ ์ํฐ๋ 1.9 mg/dL, ์๋ณ: ๋จ๋ฐฑ์ง (-), ํฌ๋๋น (3+), ์ผํค (2+) ', 'options': {'A': '์ธ์๋ฆฐ', 'B': '๋ฉํธํฌ๋ฅด๋ฏผ', 'C': '์ ํฌ๋์ฐ๋ ์', 'D': 'ํฐ์์กธ๋ฆฌ๋๋ค๋์จ', 'E': '์ํ๊ธ๋ฃจ์ฝ์๋ฐ์ด์ค์ต์ ์ '}, 'answer': 'A', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'doctor', 'year': 2013, 'period': 4}}
|
25์ธ ๋จ์๊ฐ ํ ๋ฌ ์ ๋ถํฐ ๋ชฉ์ด ๋ง๋ฅด๊ณ ์๋ณ๋์ด ๋ง์์ ธ์ ๋ณ์์ ์๋ค. ์์์ ๋ง์ด ๋จน๋๋ฐ๋์ต๊ทผ 1๊ฐ์ ๋์ ์ฒด์ค์ด 7 kg ๊ฐ์ํ์๋ค. ํค 172 cm, ์ฒด์ค 57 kg, ํ์ 110/75 mmHg,๋งฅ๋ฐ 89ํ/๋ถ์ด์์ผ๋ฉฐ ํผ๋ถ๊ธด์ฅ๋๊ฐ ๋จ์ด์ ธ ์์๋ค. ๊ณต๋ณต์ ์ํํ ๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค.์ ํฉํ ์ฝ์ ๋?ํ์ก: ํฌ๋๋น490 mg/dL, ๋นํํ์์ 15.6%, Na +130 meq/L, K+4.2 meq/L,ํ์ก์์์ง์ 31.0 mg/dL, ํฌ๋ ์ํฐ๋ 1.9 mg/dL, ์๋ณ: ๋จ๋ฐฑ์ง (-), ํฌ๋๋น (3+), ์ผํค (2+)
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 25์ธ ๋จ์๊ฐ ํ ๋ฌ ์ ๋ถํฐ ๋ชฉ์ด ๋ง๋ฅด๊ณ ์๋ณ๋์ด ๋ง์์ ธ์ ๋ณ์์ ์๋ค. ์์์ ๋ง์ด ๋จน๋๋ฐ๋์ต๊ทผ 1๊ฐ์ ๋์ ์ฒด์ค์ด 7 kg ๊ฐ์ํ์๋ค. ํค 172 cm, ์ฒด์ค 57 kg, ํ์ 110/75 mmHg,๋งฅ๋ฐ 89ํ/๋ถ์ด์์ผ๋ฉฐ ํผ๋ถ๊ธด์ฅ๋๊ฐ ๋จ์ด์ ธ ์์๋ค. ๊ณต๋ณต์ ์ํํ ๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค.์ ํฉํ ์ฝ์ ๋?ํ์ก: ํฌ๋๋น490 mg/dL, ๋นํํ์์ 15.6%, Na +130 meq/L, K+4.2 meq/L,ํ์ก์์์ง์ 31.0 mg/dL, ํฌ๋ ์ํฐ๋ 1.9 mg/dL, ์๋ณ: ๋จ๋ฐฑ์ง (-), ํฌ๋๋น (3+), ์ผํค (2+)
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: 25์ธ ๋จ์๊ฐ ํ ๋ฌ ์ ๋ถํฐ ๋ชฉ์ด ๋ง๋ฅด๊ณ ์๋ณ๋์ด ๋ง์์ ธ์ ๋ณ์์ ์๋ค. ์์์ ๋ง์ด ๋จน๋๋ฐ๋์ต๊ทผ 1๊ฐ์ ๋์ ์ฒด์ค์ด 7 kg ๊ฐ์ํ์๋ค. ํค 172 cm, ์ฒด์ค 57 kg, ํ์ 110/75 mmHg,๋งฅ๋ฐ 89ํ/๋ถ์ด์์ผ๋ฉฐ ํผ๋ถ๊ธด์ฅ๋๊ฐ ๋จ์ด์ ธ ์์๋ค. ๊ณต๋ณต์ ์ํํ ๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค.์ ํฉํ ์ฝ์ ๋?ํ์ก: ํฌ๋๋น490 mg/dL, ๋นํํ์์ 15.6%, Na +130 meq/L, K+4.2 meq/L,ํ์ก์์์ง์ 31.0 mg/dL, ํฌ๋ ์ํฐ๋ 1.9 mg/dL, ์๋ณ: ๋จ๋ฐฑ์ง (-), ํฌ๋๋น (3+), ์ผํค (2+) "}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 25์ธ ๋จ์๊ฐ ํ ๋ฌ ์ ๋ถํฐ ๋ชฉ์ด ๋ง๋ฅด๊ณ ์๋ณ๋์ด ๋ง์์ ธ์ ๋ณ์์ ์๋ค. ์์์ ๋ง์ด ๋จน๋๋ฐ๋์ต๊ทผ 1๊ฐ์ ๋์ ์ฒด์ค์ด 7 kg ๊ฐ์ํ์๋ค. ํค 172 cm, ์ฒด์ค 57 kg, ํ์ 110/75 mmHg,๋งฅ๋ฐ 89ํ/๋ถ์ด์์ผ๋ฉฐ ํผ๋ถ๊ธด์ฅ๋๊ฐ ๋จ์ด์ ธ ์์๋ค. ๊ณต๋ณต์ ์ํํ ๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค.์ ํฉํ ์ฝ์ ๋?ํ์ก: ํฌ๋๋น490 mg/dL, ๋นํํ์์ 15.6%, Na +130 meq/L, K+4.2 meq/L,ํ์ก์์์ง์ 31.0 mg/dL, ํฌ๋ ์ํฐ๋ 1.9 mg/dL, ์๋ณ: ๋จ๋ฐฑ์ง (-), ํฌ๋๋น (3+), ์ผํค (2+)
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
(Note: All values are in the range of normal values)
Rationale:
The query describes a medical case involving a 25-year-old male patient who presents with symptoms such as dry mouth, increased urine output, significant weight loss, and abnormal lab results. The query includes detailed medical information, including blood and urine test results, and asks for the appropriate medication for the patient's condition.
### Task Type:
- **Reasoning**: The query requires the interpretation of medical data and the application of medical knowledge to determine the appropriate treatment. This involves logical reasoning and clinical decision-making.
### Target Type:
- **ko**: The query is written in Korean and pertains to a medical case that is likely to be relevant to a Korean audience, as indicated by the use of the Korean language and the context of the patient's symptoms and lab results.
### Subject Type:
- **Tech/Medical**: The query is centered around a medical case, involving clinical symptoms, diagnostic test results, and the need for medical intervention. This falls under the category of medical technology and practice.
### Rationale:
The query involves a clinical scenario that requires medical knowledge to interpret the symptoms and lab results and determine the appropriate medication. The use of specific medical terminology and the context of the patient's condition indicate that the query is targeting a medical audience. The detailed medical information provided aligns with the subject area of medical technology and practice. Therefore, the appropriate category for this query is {'task_type': 'Reasoning', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
(Note: All values are in the range of normal values)
Rationale:
The query describes a medical case involving a 25-year-old male patient who presents with symptoms such as dry mouth, increased urine output, significant weight loss, and abnormal lab results. The query includes detailed medical information, including blood and urine test results, and asks for the appropriate medication for the patient's condition.
### Task Type:
- **Reasoning**: The query requires the interpretation of medical data and the application of medical knowledge to determine the appropriate treatment. This involves logical reasoning and clinical decision-making.
### Target Type:
- **ko**: The query is written in Korean and pertains to a medical case that is likely to be relevant to a Korean audience, as indicated by the use of the Korean language and the context of the patient's symptoms and lab results.
### Subject Type:
- **Tech/Medical**: The query is centered around a medical case, involving clinical symptoms, diagnostic test results, and the need for medical intervention. This falls under the category of medical technology and practice.
### Rationale:
The query involves a clinical scenario that requires medical knowledge to interpret the symptoms and lab results and determine the appropriate medication. The use of specific medical terminology and the context of the patient's condition indicate that the query is targeting a medical audience. The detailed medical information provided aligns with the subject area of medical technology and practice. Therefore, the appropriate category for this query is {'task_type': 'Reasoning', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,702 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '๋ณด๊ฑด์ ๋ฐฉ๋ฌธ๊ฐํธ์ฌ๊ฐ ์ค์ค๋ก ๋ชฉ์ํ ์ ์๋ ๋์์๋ฅผ ์ํ์ฌ ์์๋ด์ฌ์๋ฅผ ํ์ฉํ๋ ค๊ณ ํ ๋ ์ด๋ ์ด๋ค ์ข
๋ฅ์ ์์ ํ์ฉ์ ํด๋นํ๋๊ฐ?', 'options': {'A': '์ธ์ ์์', 'B': '์กฐ์ง ์์', 'C': '๊ฒฝ์ ์ ์์', 'D': '๋ฌผ๋ฆฌ์ ์์', 'E': '์ฌํ์ ์์'}, 'answer': 'A', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'nurse', 'year': 2019, 'period': 2}}
|
๋ณด๊ฑด์ ๋ฐฉ๋ฌธ๊ฐํธ์ฌ๊ฐ ์ค์ค๋ก ๋ชฉ์ํ ์ ์๋ ๋์์๋ฅผ ์ํ์ฌ ์์๋ด์ฌ์๋ฅผ ํ์ฉํ๋ ค๊ณ ํ ๋ ์ด๋ ์ด๋ค ์ข
๋ฅ์ ์์ ํ์ฉ์ ํด๋นํ๋๊ฐ?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ณด๊ฑด์ ๋ฐฉ๋ฌธ๊ฐํธ์ฌ๊ฐ ์ค์ค๋ก ๋ชฉ์ํ ์ ์๋ ๋์์๋ฅผ ์ํ์ฌ ์์๋ด์ฌ์๋ฅผ ํ์ฉํ๋ ค๊ณ ํ ๋ ์ด๋ ์ด๋ค ์ข
๋ฅ์ ์์ ํ์ฉ์ ํด๋นํ๋๊ฐ?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ๋ณด๊ฑด์ ๋ฐฉ๋ฌธ๊ฐํธ์ฌ๊ฐ ์ค์ค๋ก ๋ชฉ์ํ ์ ์๋ ๋์์๋ฅผ ์ํ์ฌ ์์๋ด์ฌ์๋ฅผ ํ์ฉํ๋ ค๊ณ ํ ๋ ์ด๋ ์ด๋ค ์ข
๋ฅ์ ์์ ํ์ฉ์ ํด๋นํ๋๊ฐ?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ณด๊ฑด์ ๋ฐฉ๋ฌธ๊ฐํธ์ฌ๊ฐ ์ค์ค๋ก ๋ชฉ์ํ ์ ์๋ ๋์์๋ฅผ ์ํ์ฌ ์์๋ด์ฌ์๋ฅผ ํ์ฉํ๋ ค๊ณ ํ ๋ ์ด๋ ์ด๋ค ์ข
๋ฅ์ ์์ ํ์ฉ์ ํด๋นํ๋๊ฐ?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking about the use of volunteers by a public health nurse to assist individuals who are unable to bathe themselves. This involves understanding the role of healthcare professionals and the management of resources within a medical context. The focus is on the application of medical knowledge and practices, particularly in the area of patient care and volunteer management in a healthcare setting. Therefore, the appropriate category for this query is 'Tech/Medical'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
Rationale: The query is asking about the use of volunteers by a public health nurse to assist individuals who are unable to bathe themselves. This involves understanding the role of healthcare professionals and the management of resources within a medical context. The focus is on the application of medical knowledge and practices, particularly in the area of patient care and volunteer management in a healthcare setting. Therefore, the appropriate category for this query is 'Tech/Medical'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,703 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. ํ๋ณ์ ๋๋ฐํ์ง ์๋ ์ฌํ ๋ฌผ์ค์ฌ(watery diarrhea) ๋ก ์
์ํ ํ์์๊ฒ ์ฐ์ ์ ์ผ๋ก ์๋ถ๊ณผ ์ ํด์ง์ ๋ณด์ถฉํ์๋ค. ์ค์ฌ ์ํ๋ก๋ถํฐ ๊ท ์ ๋ถ๋ฆฌํ์ฌ ๋์ ํ ๊ฒฐ๊ณผ, ์ฝค๋ง ํํ์ ๋จํธ๋ชจ ๊ทธ๋์์ฑ๊ท ์ผ๋ก ํ์ธ๋์๋ค. ์ ์ฌ๋ก์์ ๋์ ๋ ์ธ๊ท ์?', 'options': {'A': 'Escherichia coli O157:H7', 'B': 'Proteus vulgaris', 'C': 'Salmonella Typhi', 'D': 'Shigella dysenteriae', 'E': 'Vibrio cholerae'}, 'answer': 'E', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'pharm', 'year': 2023, 'period': 1}}
|
๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. ํ๋ณ์ ๋๋ฐํ์ง ์๋ ์ฌํ ๋ฌผ์ค์ฌ(watery diarrhea) ๋ก ์
์ํ ํ์์๊ฒ ์ฐ์ ์ ์ผ๋ก ์๋ถ๊ณผ ์ ํด์ง์ ๋ณด์ถฉํ์๋ค. ์ค์ฌ ์ํ๋ก๋ถํฐ ๊ท ์ ๋ถ๋ฆฌํ์ฌ ๋์ ํ ๊ฒฐ๊ณผ, ์ฝค๋ง ํํ์ ๋จํธ๋ชจ ๊ทธ๋์์ฑ๊ท ์ผ๋ก ํ์ธ๋์๋ค. ์ ์ฌ๋ก์์ ๋์ ๋ ์ธ๊ท ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. ํ๋ณ์ ๋๋ฐํ์ง ์๋ ์ฌํ ๋ฌผ์ค์ฌ(watery diarrhea) ๋ก ์
์ํ ํ์์๊ฒ ์ฐ์ ์ ์ผ๋ก ์๋ถ๊ณผ ์ ํด์ง์ ๋ณด์ถฉํ์๋ค. ์ค์ฌ ์ํ๋ก๋ถํฐ ๊ท ์ ๋ถ๋ฆฌํ์ฌ ๋์ ํ ๊ฒฐ๊ณผ, ์ฝค๋ง ํํ์ ๋จํธ๋ชจ ๊ทธ๋์์ฑ๊ท ์ผ๋ก ํ์ธ๋์๋ค. ์ ์ฌ๋ก์์ ๋์ ๋ ์ธ๊ท ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. ํ๋ณ์ ๋๋ฐํ์ง ์๋ ์ฌํ ๋ฌผ์ค์ฌ(watery diarrhea) ๋ก ์
์ํ ํ์์๊ฒ ์ฐ์ ์ ์ผ๋ก ์๋ถ๊ณผ ์ ํด์ง์ ๋ณด์ถฉํ์๋ค. ์ค์ฌ ์ํ๋ก๋ถํฐ ๊ท ์ ๋ถ๋ฆฌํ์ฌ ๋์ ํ ๊ฒฐ๊ณผ, ์ฝค๋ง ํํ์ ๋จํธ๋ชจ ๊ทธ๋์์ฑ๊ท ์ผ๋ก ํ์ธ๋์๋ค. ์ ์ฌ๋ก์์ ๋์ ๋ ์ธ๊ท ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. ํ๋ณ์ ๋๋ฐํ์ง ์๋ ์ฌํ ๋ฌผ์ค์ฌ(watery diarrhea) ๋ก ์
์ํ ํ์์๊ฒ ์ฐ์ ์ ์ผ๋ก ์๋ถ๊ณผ ์ ํด์ง์ ๋ณด์ถฉํ์๋ค. ์ค์ฌ ์ํ๋ก๋ถํฐ ๊ท ์ ๋ถ๋ฆฌํ์ฌ ๋์ ํ ๊ฒฐ๊ณผ, ์ฝค๋ง ํํ์ ๋จํธ๋ชจ ๊ทธ๋์์ฑ๊ท ์ผ๋ก ํ์ธ๋์๋ค. ์ ์ฌ๋ก์์ ๋์ ๋ ์ธ๊ท ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query involves analyzing a medical case involving a patient with severe watery diarrhea, the administration of fluids and electrolytes, and the identification of a comma-shaped, gram-negative bacterium from the stool sample. This requires understanding medical symptoms, diagnostic procedures, and bacterial identification, which are all components of medical knowledge and reasoning. Therefore, the appropriate category for this query is:
- task_type: Reasoning
- target_type: General
- subject_type: Science/Medical
</r>
### Rationale:
1. **Task Type**:
- The query requires the reader to interpret medical symptoms, diagnostic procedures, and bacterial identification. This involves logical reasoning and understanding of medical protocols, which falls under the category of 'Reasoning'.
2. **Target Type**:
- The query is written in Korean, but the medical context and the diagnostic process are universally applicable. Therefore, it targets a general audience with knowledge of medical science, rather than a specific cultural region. Hence, the target type is 'General'.
3. **Subject Type**:
- The content of the query is related to medical diagnosis and bacterial identification, which are key aspects of medical science. Therefore, the subject type is 'Science/Medical'.
Thus, the appropriate category for the query is:
- task_type: Reasoning
- target_type: General
- subject_type: Science/Medical
</r>
###Final Response:
{'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Science/Medical']}
|
Rationale: The query involves analyzing a medical case involving a patient with severe watery diarrhea, the administration of fluids and electrolytes, and the identification of a comma-shaped, gram-negative bacterium from the stool sample. This requires understanding medical symptoms, diagnostic procedures, and bacterial identification, which are all components of medical knowledge and reasoning. Therefore, the appropriate category for this query is:
- task_type: Reasoning
- target_type: General
- subject_type: Science/Medical
</r>
### Rationale:
1. **Task Type**:
- The query requires the reader to interpret medical symptoms, diagnostic procedures, and bacterial identification. This involves logical reasoning and understanding of medical protocols, which falls under the category of 'Reasoning'.
2. **Target Type**:
- The query is written in Korean, but the medical context and the diagnostic process are universally applicable. Therefore, it targets a general audience with knowledge of medical science, rather than a specific cultural region. Hence, the target type is 'General'.
3. **Subject Type**:
- The content of the query is related to medical diagnosis and bacterial identification, which are key aspects of medical science. Therefore, the subject type is 'Science/Medical'.
Thus, the appropriate category for the query is:
- task_type: Reasoning
- target_type: General
- subject_type: Science/Medical
</r>
###Final Response:
{'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Science/Medical']}
|
['Tech/Medical']
|
15,704 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': 'โ๊ฐโ์ 2013๋
2์ ์์ฌ๋ฉดํ์ฆ์ ๋ฐ์๋ค. ์์ฌ โ๊ฐโ์ ์คํ์ ์ทจ์
์ํฉ ๋ฑ์ ์ต์ด ๋ฉดํ๋ฅผ ๋ฐ์ ํ๋ถํฐ ๋งค ๋ช ๋
์ด ๋๋ ํด์ 12์ 31์ผ๊น์ง ๋ณด๊ฑด๋ณต์ง๋ถ์ฅ๊ด์๊ฒ ์ ๊ณ ํด์ผ ํ๋๊ฐ?', 'options': {'A': '2๋
', 'B': '3๋
', 'C': '4๋
', 'D': '5๋
', 'E': '7๋
'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'doctor', 'year': 2013, 'period': 3}}
|
โ๊ฐโ์ 2013๋
2์ ์์ฌ๋ฉดํ์ฆ์ ๋ฐ์๋ค. ์์ฌ โ๊ฐโ์ ์คํ์ ์ทจ์
์ํฉ ๋ฑ์ ์ต์ด ๋ฉดํ๋ฅผ ๋ฐ์ ํ๋ถํฐ ๋งค ๋ช ๋
์ด ๋๋ ํด์ 12์ 31์ผ๊น์ง ๋ณด๊ฑด๋ณต์ง๋ถ์ฅ๊ด์๊ฒ ์ ๊ณ ํด์ผ ํ๋๊ฐ?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: โ๊ฐโ์ 2013๋
2์ ์์ฌ๋ฉดํ์ฆ์ ๋ฐ์๋ค. ์์ฌ โ๊ฐโ์ ์คํ์ ์ทจ์
์ํฉ ๋ฑ์ ์ต์ด ๋ฉดํ๋ฅผ ๋ฐ์ ํ๋ถํฐ ๋งค ๋ช ๋
์ด ๋๋ ํด์ 12์ 31์ผ๊น์ง ๋ณด๊ฑด๋ณต์ง๋ถ์ฅ๊ด์๊ฒ ์ ๊ณ ํด์ผ ํ๋๊ฐ?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: โ๊ฐโ์ 2013๋
2์ ์์ฌ๋ฉดํ์ฆ์ ๋ฐ์๋ค. ์์ฌ โ๊ฐโ์ ์คํ์ ์ทจ์
์ํฉ ๋ฑ์ ์ต์ด ๋ฉดํ๋ฅผ ๋ฐ์ ํ๋ถํฐ ๋งค ๋ช ๋
์ด ๋๋ ํด์ 12์ 31์ผ๊น์ง ๋ณด๊ฑด๋ณต์ง๋ถ์ฅ๊ด์๊ฒ ์ ๊ณ ํด์ผ ํ๋๊ฐ?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: โ๊ฐโ์ 2013๋
2์ ์์ฌ๋ฉดํ์ฆ์ ๋ฐ์๋ค. ์์ฌ โ๊ฐโ์ ์คํ์ ์ทจ์
์ํฉ ๋ฑ์ ์ต์ด ๋ฉดํ๋ฅผ ๋ฐ์ ํ๋ถํฐ ๋งค ๋ช ๋
์ด ๋๋ ํด์ 12์ 31์ผ๊น์ง ๋ณด๊ฑด๋ณต์ง๋ถ์ฅ๊ด์๊ฒ ์ ๊ณ ํด์ผ ํ๋๊ฐ?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
'
Rationale: The query is asking about the reporting requirements for a medical professional after obtaining a license. This involves understanding the regulations and legal obligations related to medical practice, which falls under the category of 'reasoning' as it requires logical thinking and application of knowledge to answer the question. The target region is 'ko' (Korea) because the context and query are specific to the Korean medical system. The subject area is 'Society&Humanity/Law' because it pertains to legal requirements and regulations in the medical field. Therefore, the appropriate category for this query is {'task_type': 'Reasoning', 'target_type': 'ko', 'subject_type': ['Society&Humanity/Law']}
|
'
Rationale: The query is asking about the reporting requirements for a medical professional after obtaining a license. This involves understanding the regulations and legal obligations related to medical practice, which falls under the category of 'reasoning' as it requires logical thinking and application of knowledge to answer the question. The target region is 'ko' (Korea) because the context and query are specific to the Korean medical system. The subject area is 'Society&Humanity/Law' because it pertains to legal requirements and regulations in the medical field. Therefore, the appropriate category for this query is {'task_type': 'Reasoning', 'target_type': 'ko', 'subject_type': ['Society&Humanity/Law']}
|
['Tech/Medical']
|
15,705 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '45์ธ ๋จ์๊ฐ ์ฌํ ๋ํต ๋๋ฌธ์ ๋ณ์์ ์๋ค. ๋ํต์ 4๋
์ ๋ถํฐ ๋ด์๋ง ๋ฐ์ํ๋ค. ์๋ฒฝ 2์์ ์ผ์ชฝ ๋ ์ฃผ์์ ์ฌํ ํต์ฆ์ด ๋ฐ์ํ์ฌ ์ ์ ๊นจ๋ฉฐ, ๋ ์ถฉํ๊ณผ ํจ๊ป ๋๋ฌผ๊ณผ ์ฝง๋ฌผ์ ๋ง์ด ํ๋ฆฐ๋ค๊ณ ํ๋ค. ํนํ, ์ ๋ ์ ์ ๋ง์ ํ์ ๋ฐ์ํ๋ ๊ฒฝํฅ์ด ์๋ค๊ณ ํ๋ค. ์ง๋จ์?', 'options': {'A': 'ํธ๋ํต', 'B': '๊ตฐ๋ฐ๋ํต', 'C': '๊ธด์ฅํ๋ํต', 'D': '์ผ์ฐจ์ ๊ฒฝํต', 'E': '์๋ฐ๋ฒผ๋ฝ๋ํต'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'doctor', 'year': 2018, 'period': 3}}
|
45์ธ ๋จ์๊ฐ ์ฌํ ๋ํต ๋๋ฌธ์ ๋ณ์์ ์๋ค. ๋ํต์ 4๋
์ ๋ถํฐ ๋ด์๋ง ๋ฐ์ํ๋ค. ์๋ฒฝ 2์์ ์ผ์ชฝ ๋ ์ฃผ์์ ์ฌํ ํต์ฆ์ด ๋ฐ์ํ์ฌ ์ ์ ๊นจ๋ฉฐ, ๋ ์ถฉํ๊ณผ ํจ๊ป ๋๋ฌผ๊ณผ ์ฝง๋ฌผ์ ๋ง์ด ํ๋ฆฐ๋ค๊ณ ํ๋ค. ํนํ, ์ ๋ ์ ์ ๋ง์ ํ์ ๋ฐ์ํ๋ ๊ฒฝํฅ์ด ์๋ค๊ณ ํ๋ค. ์ง๋จ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 45์ธ ๋จ์๊ฐ ์ฌํ ๋ํต ๋๋ฌธ์ ๋ณ์์ ์๋ค. ๋ํต์ 4๋
์ ๋ถํฐ ๋ด์๋ง ๋ฐ์ํ๋ค. ์๋ฒฝ 2์์ ์ผ์ชฝ ๋ ์ฃผ์์ ์ฌํ ํต์ฆ์ด ๋ฐ์ํ์ฌ ์ ์ ๊นจ๋ฉฐ, ๋ ์ถฉํ๊ณผ ํจ๊ป ๋๋ฌผ๊ณผ ์ฝง๋ฌผ์ ๋ง์ด ํ๋ฆฐ๋ค๊ณ ํ๋ค. ํนํ, ์ ๋ ์ ์ ๋ง์ ํ์ ๋ฐ์ํ๋ ๊ฒฝํฅ์ด ์๋ค๊ณ ํ๋ค. ์ง๋จ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: 45์ธ ๋จ์๊ฐ ์ฌํ ๋ํต ๋๋ฌธ์ ๋ณ์์ ์๋ค. ๋ํต์ 4๋
์ ๋ถํฐ ๋ด์๋ง ๋ฐ์ํ๋ค. ์๋ฒฝ 2์์ ์ผ์ชฝ ๋ ์ฃผ์์ ์ฌํ ํต์ฆ์ด ๋ฐ์ํ์ฌ ์ ์ ๊นจ๋ฉฐ, ๋ ์ถฉํ๊ณผ ํจ๊ป ๋๋ฌผ๊ณผ ์ฝง๋ฌผ์ ๋ง์ด ํ๋ฆฐ๋ค๊ณ ํ๋ค. ํนํ, ์ ๋ ์ ์ ๋ง์ ํ์ ๋ฐ์ํ๋ ๊ฒฝํฅ์ด ์๋ค๊ณ ํ๋ค. ์ง๋จ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 45์ธ ๋จ์๊ฐ ์ฌํ ๋ํต ๋๋ฌธ์ ๋ณ์์ ์๋ค. ๋ํต์ 4๋
์ ๋ถํฐ ๋ด์๋ง ๋ฐ์ํ๋ค. ์๋ฒฝ 2์์ ์ผ์ชฝ ๋ ์ฃผ์์ ์ฌํ ํต์ฆ์ด ๋ฐ์ํ์ฌ ์ ์ ๊นจ๋ฉฐ, ๋ ์ถฉํ๊ณผ ํจ๊ป ๋๋ฌผ๊ณผ ์ฝง๋ฌผ์ ๋ง์ด ํ๋ฆฐ๋ค๊ณ ํ๋ค. ํนํ, ์ ๋ ์ ์ ๋ง์ ํ์ ๋ฐ์ํ๋ ๊ฒฝํฅ์ด ์๋ค๊ณ ํ๋ค. ์ง๋จ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
(The query is in Korean, but it is about a medical condition that is not specific to any cultural context.)
Rationale:
- **Task Type**: The query involves diagnosing a medical condition based on the symptoms and history provided. This requires understanding and interpreting medical information, which falls under reasoning-based questions.
- **Target Type**: Although the query is in Korean, the medical condition described is not specific to any cultural context. Therefore, it is categorized as 'General'.
- **Subject Type**: The query is related to diagnosing a medical condition, which falls under the category of 'Tech/Medical'.
Thus, the appropriate category for the query is:
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
(The query is in Korean, but it is about a medical condition that is not specific to any cultural context.)
Rationale:
- **Task Type**: The query involves diagnosing a medical condition based on the symptoms and history provided. This requires understanding and interpreting medical information, which falls under reasoning-based questions.
- **Target Type**: Although the query is in Korean, the medical condition described is not specific to any cultural context. Therefore, it is categorized as 'General'.
- **Subject Type**: The query is related to diagnosing a medical condition, which falls under the category of 'Tech/Medical'.
Thus, the appropriate category for the query is:
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,706 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': 'ํ์ํ์ adenosine diphosphate (ADP) P2Y12 ์์ฉ์ฒด๋ฅผ ์ฐจ๋จํ์ฌ ํ์ํ์์ง์ ์ต์ ํ๋ ์ฝ๋ฌผ์?', 'options': {'A': '์ค๋ก์คํ์กธ(cilostazol)', 'B': 'ํด๋กํผ๋๊ทธ๋ (clopidogrel)', 'C': 'ํฐ๋คํ๋ฆฌ๋
์ค(fondaparinux)', 'D': '์กํฐํผ๋ฐํ์ด๋(eptifibatide)', 'E': 'ํธ๋ผ๋ฅ์ผ์ฐ(tranexamic acid)'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'pharm', 'year': 2021, 'period': 1}}
|
ํ์ํ์ adenosine diphosphate (ADP) P2Y12 ์์ฉ์ฒด๋ฅผ ์ฐจ๋จํ์ฌ ํ์ํ์์ง์ ์ต์ ํ๋ ์ฝ๋ฌผ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํ์ํ์ adenosine diphosphate (ADP) P2Y12 ์์ฉ์ฒด๋ฅผ ์ฐจ๋จํ์ฌ ํ์ํ์์ง์ ์ต์ ํ๋ ์ฝ๋ฌผ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ํ์ํ์ adenosine diphosphate (ADP) P2Y12 ์์ฉ์ฒด๋ฅผ ์ฐจ๋จํ์ฌ ํ์ํ์์ง์ ์ต์ ํ๋ ์ฝ๋ฌผ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํ์ํ์ adenosine diphosphate (ADP) P2Y12 ์์ฉ์ฒด๋ฅผ ์ฐจ๋จํ์ฌ ํ์ํ์์ง์ ์ต์ ํ๋ ์ฝ๋ฌผ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking for the name of a drug that blocks the adenosine diphosphate (ADP) P2Y12 receptor on platelets to inhibit platelet aggregation. This involves understanding the biochemical mechanism of action of a specific drug, which requires knowledge of pharmacology and medical science. Therefore, the task type is 'knowledge' because it is a factual question about a medical drug. The target type is 'ko' because the query is in Korean and is likely targeting a Korean audience. The subject type is 'Tech/Medical' because it pertains to medical science and pharmacology.
Category: {'task_type': 'knowledge', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
Rationale: The query is asking for the name of a drug that blocks the adenosine diphosphate (ADP) P2Y12 receptor on platelets to inhibit platelet aggregation. This involves understanding the biochemical mechanism of action of a specific drug, which requires knowledge of pharmacology and medical science. Therefore, the task type is 'knowledge' because it is a factual question about a medical drug. The target type is 'ko' because the query is in Korean and is likely targeting a Korean audience. The subject type is 'Tech/Medical' because it pertains to medical science and pharmacology.
Category: {'task_type': 'knowledge', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,707 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. 3์ผ ์ ๋ถํฐ ์ฌ์ฅ์ด ์ฌํ๊ฒ ๋๊ทผ๊ฑฐ๋ฆฌ๊ณ ํธํก๊ณค๋ ์ฆ์์ด ๋ํ๋ 68์ธ ์ฌ์๊ฐ ๋นํ๋ง์ฑ ์ฌ๋ฐฉ์ธ๋์ ์ง๋จ๋ฐ๊ณ , ๋ํฐ์์ ฌ(diltiazem) ์ฃผ์ฌ์ ์น๋ฃ๋ฅผ ์์ํ์๋ค.[๋ณ๋ ฅ] ๊ณ ํ์, ์ด์์ง์งํ์ฆ[ํ๋ ฅ์งํ] ํ์ 122/78 mmHg, ์ฌ๋ฐ์ 108ํ/๋ถ, ์ฐ์ํฌํ๋ 96%[์์๊ฒ์ฌ] ์ฌ์ ๋: ์ฌ๋ฐฉ์ธ๋์ฌ์ด์ํ: ์ฌ๋ฐฉ ๋ด ํ์ ์์[์ฌ์ฉ์ฝ๋ฌผ] ๋ํฐ์์ ฌ(diltiazem) ๋ก์๋ฐ์คํํด(rosuvastatin) ํ๋๋กํด๋ก๋กํฐ์์ง๋(hydrochlorothiazide) . ๋๋ฆฌ๋ฌ์ผ๋ก ์ ํํ ํ ์ฅ๊ธฐ์ ์ผ๋ก ๋๋ฆฌ๋ฌ์ ์ ์งํ๊ธฐ ์ํด ๋๋ก๋ค๋ค๋ก (dronedarone) ํฌ์ฌ๋ฅผ ์์ํ๊ณ ์ ํ๋ค. ๋์กธ์ค ๋ฐ์์ ์๋ฐฉํ๊ธฐ ์ํด ์ ์ ํ ์ฝ๋ฌผ์?', 'options': {'A': '์์คํผ๋ฆฐ(aspirin)', 'B': '์ํฝ์ฌ๋ฐ(apixaban)', 'C': '๋ฌํ
ํ๋ฆฐ(dalteparin)', 'D': '์ค๋ก์คํ์กธ(cilostazol)', 'E': 'ํ๋ผ์๊ทธ๋ (prasugrel)'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'pharm', 'year': 2023, 'period': 3}}
|
๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. 3์ผ ์ ๋ถํฐ ์ฌ์ฅ์ด ์ฌํ๊ฒ ๋๊ทผ๊ฑฐ๋ฆฌ๊ณ ํธํก๊ณค๋ ์ฆ์์ด ๋ํ๋ 68์ธ ์ฌ์๊ฐ ๋นํ๋ง์ฑ ์ฌ๋ฐฉ์ธ๋์ ์ง๋จ๋ฐ๊ณ , ๋ํฐ์์ ฌ(diltiazem) ์ฃผ์ฌ์ ์น๋ฃ๋ฅผ ์์ํ์๋ค.[๋ณ๋ ฅ] ๊ณ ํ์, ์ด์์ง์งํ์ฆ[ํ๋ ฅ์งํ] ํ์ 122/78 mmHg, ์ฌ๋ฐ์ 108ํ/๋ถ, ์ฐ์ํฌํ๋ 96%[์์๊ฒ์ฌ] ์ฌ์ ๋: ์ฌ๋ฐฉ์ธ๋์ฌ์ด์ํ: ์ฌ๋ฐฉ ๋ด ํ์ ์์[์ฌ์ฉ์ฝ๋ฌผ] ๋ํฐ์์ ฌ(diltiazem) ๋ก์๋ฐ์คํํด(rosuvastatin) ํ๋๋กํด๋ก๋กํฐ์์ง๋(hydrochlorothiazide) . ๋๋ฆฌ๋ฌ์ผ๋ก ์ ํํ ํ ์ฅ๊ธฐ์ ์ผ๋ก ๋๋ฆฌ๋ฌ์ ์ ์งํ๊ธฐ ์ํด ๋๋ก๋ค๋ค๋ก (dronedarone) ํฌ์ฌ๋ฅผ ์์ํ๊ณ ์ ํ๋ค. ๋์กธ์ค ๋ฐ์์ ์๋ฐฉํ๊ธฐ ์ํด ์ ์ ํ ์ฝ๋ฌผ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. 3์ผ ์ ๋ถํฐ ์ฌ์ฅ์ด ์ฌํ๊ฒ ๋๊ทผ๊ฑฐ๋ฆฌ๊ณ ํธํก๊ณค๋ ์ฆ์์ด ๋ํ๋ 68์ธ ์ฌ์๊ฐ ๋นํ๋ง์ฑ ์ฌ๋ฐฉ์ธ๋์ ์ง๋จ๋ฐ๊ณ , ๋ํฐ์์ ฌ(diltiazem) ์ฃผ์ฌ์ ์น๋ฃ๋ฅผ ์์ํ์๋ค.[๋ณ๋ ฅ] ๊ณ ํ์, ์ด์์ง์งํ์ฆ[ํ๋ ฅ์งํ] ํ์ 122/78 mmHg, ์ฌ๋ฐ์ 108ํ/๋ถ, ์ฐ์ํฌํ๋ 96%[์์๊ฒ์ฌ] ์ฌ์ ๋: ์ฌ๋ฐฉ์ธ๋์ฌ์ด์ํ: ์ฌ๋ฐฉ ๋ด ํ์ ์์[์ฌ์ฉ์ฝ๋ฌผ] ๋ํฐ์์ ฌ(diltiazem) ๋ก์๋ฐ์คํํด(rosuvastatin) ํ๋๋กํด๋ก๋กํฐ์์ง๋(hydrochlorothiazide) . ๋๋ฆฌ๋ฌ์ผ๋ก ์ ํํ ํ ์ฅ๊ธฐ์ ์ผ๋ก ๋๋ฆฌ๋ฌ์ ์ ์งํ๊ธฐ ์ํด ๋๋ก๋ค๋ค๋ก (dronedarone) ํฌ์ฌ๋ฅผ ์์ํ๊ณ ์ ํ๋ค. ๋์กธ์ค ๋ฐ์์ ์๋ฐฉํ๊ธฐ ์ํด ์ ์ ํ ์ฝ๋ฌผ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. 3์ผ ์ ๋ถํฐ ์ฌ์ฅ์ด ์ฌํ๊ฒ ๋๊ทผ๊ฑฐ๋ฆฌ๊ณ ํธํก๊ณค๋ ์ฆ์์ด ๋ํ๋ 68์ธ ์ฌ์๊ฐ ๋นํ๋ง์ฑ ์ฌ๋ฐฉ์ธ๋์ ์ง๋จ๋ฐ๊ณ , ๋ํฐ์์ ฌ(diltiazem) ์ฃผ์ฌ์ ์น๋ฃ๋ฅผ ์์ํ์๋ค.[๋ณ๋ ฅ] ๊ณ ํ์, ์ด์์ง์งํ์ฆ[ํ๋ ฅ์งํ] ํ์ 122/78 mmHg, ์ฌ๋ฐ์ 108ํ/๋ถ, ์ฐ์ํฌํ๋ 96%[์์๊ฒ์ฌ] ์ฌ์ ๋: ์ฌ๋ฐฉ์ธ๋์ฌ์ด์ํ: ์ฌ๋ฐฉ ๋ด ํ์ ์์[์ฌ์ฉ์ฝ๋ฌผ] ๋ํฐ์์ ฌ(diltiazem) ๋ก์๋ฐ์คํํด(rosuvastatin) ํ๋๋กํด๋ก๋กํฐ์์ง๋(hydrochlorothiazide) . ๋๋ฆฌ๋ฌ์ผ๋ก ์ ํํ ํ ์ฅ๊ธฐ์ ์ผ๋ก ๋๋ฆฌ๋ฌ์ ์ ์งํ๊ธฐ ์ํด ๋๋ก๋ค๋ค๋ก (dronedarone) ํฌ์ฌ๋ฅผ ์์ํ๊ณ ์ ํ๋ค. ๋์กธ์ค ๋ฐ์์ ์๋ฐฉํ๊ธฐ ์ํด ์ ์ ํ ์ฝ๋ฌผ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
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The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ์ฌ๋ก๋ฅผ ์ฝ๊ณ ๊ฐ ๋ฌธ์ ์ ์ ํฉํ ๋ต์ ๊ณ ๋ฅด์์ค. 3์ผ ์ ๋ถํฐ ์ฌ์ฅ์ด ์ฌํ๊ฒ ๋๊ทผ๊ฑฐ๋ฆฌ๊ณ ํธํก๊ณค๋ ์ฆ์์ด ๋ํ๋ 68์ธ ์ฌ์๊ฐ ๋นํ๋ง์ฑ ์ฌ๋ฐฉ์ธ๋์ ์ง๋จ๋ฐ๊ณ , ๋ํฐ์์ ฌ(diltiazem) ์ฃผ์ฌ์ ์น๋ฃ๋ฅผ ์์ํ์๋ค.[๋ณ๋ ฅ] ๊ณ ํ์, ์ด์์ง์งํ์ฆ[ํ๋ ฅ์งํ] ํ์ 122/78 mmHg, ์ฌ๋ฐ์ 108ํ/๋ถ, ์ฐ์ํฌํ๋ 96%[์์๊ฒ์ฌ] ์ฌ์ ๋: ์ฌ๋ฐฉ์ธ๋์ฌ์ด์ํ: ์ฌ๋ฐฉ ๋ด ํ์ ์์[์ฌ์ฉ์ฝ๋ฌผ] ๋ํฐ์์ ฌ(diltiazem) ๋ก์๋ฐ์คํํด(rosuvastatin) ํ๋๋กํด๋ก๋กํฐ์์ง๋(hydrochlorothiazide) . ๋๋ฆฌ๋ฌ์ผ๋ก ์ ํํ ํ ์ฅ๊ธฐ์ ์ผ๋ก ๋๋ฆฌ๋ฌ์ ์ ์งํ๊ธฐ ์ํด ๋๋ก๋ค๋ค๋ก (dronedarone) ํฌ์ฌ๋ฅผ ์์ํ๊ณ ์ ํ๋ค. ๋์กธ์ค ๋ฐ์์ ์๋ฐฉํ๊ธฐ ์ํด ์ ์ ํ ์ฝ๋ฌผ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
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Rationale: The query involves a detailed medical case study of a 68-year-old woman diagnosed with non-valvular atrial fibrillation. The case includes her symptoms, medical history, vital signs, clinical tests, and medications. The question asks for the appropriate medication to prevent stroke, which requires understanding of medical conditions, treatments, and preventive measures. This involves reasoning through the medical information provided to determine the best course of action. Therefore, the task type is 'reasoning'. The query is written in Korean, but the medical context and terminology are general and not specific to any particular country or cultural region, so the target type is 'general'. The subject area is clearly related to medical treatment and preventive care, which falls under 'Tech/Medical'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
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Rationale: The query involves a detailed medical case study of a 68-year-old woman diagnosed with non-valvular atrial fibrillation. The case includes her symptoms, medical history, vital signs, clinical tests, and medications. The question asks for the appropriate medication to prevent stroke, which requires understanding of medical conditions, treatments, and preventive measures. This involves reasoning through the medical information provided to determine the best course of action. Therefore, the task type is 'reasoning'. The query is written in Korean, but the medical context and terminology are general and not specific to any particular country or cultural region, so the target type is 'general'. The subject area is clearly related to medical treatment and preventive care, which falls under 'Tech/Medical'.
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
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['Tech/Medical']
|
15,708 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '๋ค์ ๋ณ๋์์ ํ์ํ 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ์?โข ํ์๋ถ๋ฅ๊ตฐ๋ณ 1์ผ ์ด ํ์์- 1๊ตฐ 8๋ช
, 2๊ตฐ 8๋ช
, 3๊ตฐ 4๋ช
โข ํ์๋ถ๋ฅ๊ตฐ๋ณ ํ์ 1์ธ๋น ์๊ตฌ๋๋ ์ง์ ๊ฐํธ์๊ฐ - 1๊ตฐ 2์๊ฐ/์ผ - 2๊ตฐ 3์๊ฐ/์ผ - 3๊ตฐ 4์๊ฐ/์ผ ', 'options': {'A': '32์๊ฐ', 'B': '40์๊ฐ', 'C': '56์๊ฐ', 'D': '80์๊ฐ', 'E': '100์๊ฐ'}, 'answer': 'C', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'nurse', 'year': 2022, 'period': 3}}
|
๋ค์ ๋ณ๋์์ ํ์ํ 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ์?โข ํ์๋ถ๋ฅ๊ตฐ๋ณ 1์ผ ์ด ํ์์- 1๊ตฐ 8๋ช
, 2๊ตฐ 8๋ช
, 3๊ตฐ 4๋ช
โข ํ์๋ถ๋ฅ๊ตฐ๋ณ ํ์ 1์ธ๋น ์๊ตฌ๋๋ ์ง์ ๊ฐํธ์๊ฐ - 1๊ตฐ 2์๊ฐ/์ผ - 2๊ตฐ 3์๊ฐ/์ผ - 3๊ตฐ 4์๊ฐ/์ผ
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ๋ณ๋์์ ํ์ํ 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ์?โข ํ์๋ถ๋ฅ๊ตฐ๋ณ 1์ผ ์ด ํ์์- 1๊ตฐ 8๋ช
, 2๊ตฐ 8๋ช
, 3๊ตฐ 4๋ช
โข ํ์๋ถ๋ฅ๊ตฐ๋ณ ํ์ 1์ธ๋น ์๊ตฌ๋๋ ์ง์ ๊ฐํธ์๊ฐ - 1๊ตฐ 2์๊ฐ/์ผ - 2๊ตฐ 3์๊ฐ/์ผ - 3๊ตฐ 4์๊ฐ/์ผ
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ๋ค์ ๋ณ๋์์ ํ์ํ 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ์?โข ํ์๋ถ๋ฅ๊ตฐ๋ณ 1์ผ ์ด ํ์์- 1๊ตฐ 8๋ช
, 2๊ตฐ 8๋ช
, 3๊ตฐ 4๋ช
โข ํ์๋ถ๋ฅ๊ตฐ๋ณ ํ์ 1์ธ๋น ์๊ตฌ๋๋ ์ง์ ๊ฐํธ์๊ฐ - 1๊ตฐ 2์๊ฐ/์ผ - 2๊ตฐ 3์๊ฐ/์ผ - 3๊ตฐ 4์๊ฐ/์ผ "}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ค์ ๋ณ๋์์ ํ์ํ 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ์?โข ํ์๋ถ๋ฅ๊ตฐ๋ณ 1์ผ ์ด ํ์์- 1๊ตฐ 8๋ช
, 2๊ตฐ 8๋ช
, 3๊ตฐ 4๋ช
โข ํ์๋ถ๋ฅ๊ตฐ๋ณ ํ์ 1์ธ๋น ์๊ตฌ๋๋ ์ง์ ๊ฐํธ์๊ฐ - 1๊ตฐ 2์๊ฐ/์ผ - 2๊ตฐ 3์๊ฐ/์ผ - 3๊ตฐ 4์๊ฐ/์ผ
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
โข 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ = (1๊ตฐ 8๋ช
x 2์๊ฐ/์ผ) + (2๊ตฐ 8๋ช
x 3์๊ฐ/์ผ) + (3๊ตฐ 4๋ช
x 4์๊ฐ/์ผ)
Rationale:
The query is asking for the total direct nursing hours required per day in a specific ward. It provides details on the number of patients in each category and the required direct nursing hours per patient in each category. The calculation involves multiplying the number of patients by the required nursing hours per patient and summing the results for all categories to get the total daily nursing hours.
- **Task Type**: The query requires performing calculations and applying logical reasoning to derive the total nursing hours needed. This involves understanding the given data and performing arithmetic operations, which falls under reasoning-based questions.
- **Target Type**: The query is written in Korean and does not specify a particular country or cultural region. It is general in nature and can be understood universally.
- **Subject Type**: The query involves calculating nursing hours, which is directly related to medical practices and healthcare management. Therefore, it falls under the category of Tech/Medical.
Thus, the appropriate category for this query is:
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
โข 1์ผ ์ด ์ง์ ๊ฐํธ์๊ฐ = (1๊ตฐ 8๋ช
x 2์๊ฐ/์ผ) + (2๊ตฐ 8๋ช
x 3์๊ฐ/์ผ) + (3๊ตฐ 4๋ช
x 4์๊ฐ/์ผ)
Rationale:
The query is asking for the total direct nursing hours required per day in a specific ward. It provides details on the number of patients in each category and the required direct nursing hours per patient in each category. The calculation involves multiplying the number of patients by the required nursing hours per patient and summing the results for all categories to get the total daily nursing hours.
- **Task Type**: The query requires performing calculations and applying logical reasoning to derive the total nursing hours needed. This involves understanding the given data and performing arithmetic operations, which falls under reasoning-based questions.
- **Target Type**: The query is written in Korean and does not specify a particular country or cultural region. It is general in nature and can be understood universally.
- **Subject Type**: The query involves calculating nursing hours, which is directly related to medical practices and healthcare management. Therefore, it falls under the category of Tech/Medical.
Thus, the appropriate category for this query is:
Category: {'task_type': 'Reasoning', 'target_type': 'General', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,709 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': 'ํญ์์ ๊ณผ๋ฏผ๋ฐ์๊ฒ์ฌ๋ฅผ ์ํ ํผ๋ด์ฃผ์ฌ ์ ์ฐจ๋ก ์ณ์ ๊ฒ์?', 'options': {'A': '์ฃผ์ฟ๋ฐ๋ ์ฌ๋ฉด์ด ์๋๋ก ๊ฐ๊ฒ ํ์ฌ ์ฝ์
ํ๋ค.', 'B': '์ฃผ์ฟ๋ฐ๋ ์ฝ์
์ 45ยฐ์ ๊ฐ๋๋ฅผ ์ ์งํ๋ค.', 'C': '๊ทผ์ก์กฐ์ง์ ์ฝ๋ฌผ์ ์ฃผ์
ํ๋ค.', 'D': '์ฝ๋ฌผ ์ฃผ์
ํ ์ฃผ์ฌ ๋ถ์๋ฅผ ๋ง์ฌ์ง ํ๋ค.', 'E': '15๋ถ์ด ๊ฒฝ๊ณผํ ์์ ์ ์ฃผ์ฌ ๋ถ์์ ํผ๋ถ๋ฐ์์ ๊ด์ฐฐํ๋ค.'}, 'answer': 'E', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'nurse', 'year': 2024, 'period': 3}}
|
ํญ์์ ๊ณผ๋ฏผ๋ฐ์๊ฒ์ฌ๋ฅผ ์ํ ํผ๋ด์ฃผ์ฌ ์ ์ฐจ๋ก ์ณ์ ๊ฒ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํญ์์ ๊ณผ๋ฏผ๋ฐ์๊ฒ์ฌ๋ฅผ ์ํ ํผ๋ด์ฃผ์ฌ ์ ์ฐจ๋ก ์ณ์ ๊ฒ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ํญ์์ ๊ณผ๋ฏผ๋ฐ์๊ฒ์ฌ๋ฅผ ์ํ ํผ๋ด์ฃผ์ฌ ์ ์ฐจ๋ก ์ณ์ ๊ฒ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํญ์์ ๊ณผ๋ฏผ๋ฐ์๊ฒ์ฌ๋ฅผ ์ํ ํผ๋ด์ฃผ์ฌ ์ ์ฐจ๋ก ์ณ์ ๊ฒ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Category: {'task_type': 'reasoning', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
Category: {'task_type': 'reasoning', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,710 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '์ข
์๊ณผ ์ฐ๊ด๋ ์ ์ ์์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?', 'options': {'A': 'MYC-์ข
์์ต์ ์ ์ ์๋ก ๋ฒํท๋ฆผํ์ข
๊ณผ ์ฐ๊ด', 'B': 'TP53-์ข
์์ต์ ์ ์ ์๋ก DNA ๋ณต๊ตฌ์ apoptosis๋ฅผ ์กฐ์ ', 'C': 'NF1-์ข
์์ต์ ์ ์ ์๋ก ๋ชจ๋ฐ์๊ธฐ์ ์ธํฌ์์ข
์ฆํ๊ตฐ๊ณผ ์ฐ๊ด', 'D': 'APC-์ข
์์ ์ ์๋ก ๋์ฅ์๊ณผ ๊ด๋ จ์ด ์์ผ๋ฉฐ ์ธํฌ์ฃผ๊ธฐ๋ฅผ ์กฐ์ ', 'E': 'RB-์ข
์์ ์ ์๋ก E2F์ ๊ฒฐํฉํ์ฌ ์ธํฌ์ฃผ๊ธฐ๋ฅผ ์กฐ์ ํ๋ฉฐ ๊ณจ์ก์ข
๊ณผ ์ฐ๊ด'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'dentist', 'year': 2022, 'period': 2}}
|
์ข
์๊ณผ ์ฐ๊ด๋ ์ ์ ์์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ์ข
์๊ณผ ์ฐ๊ด๋ ์ ์ ์์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ์ข
์๊ณผ ์ฐ๊ด๋ ์ ์ ์์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ์ข
์๊ณผ ์ฐ๊ด๋ ์ ์ ์์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking for an explanation related to genes associated with tumors. This involves understanding the biological and medical aspects of genes and their role in cancer, which requires knowledge of medical science and genetics. Therefore, the task type is 'knowledge' because it is seeking factual information. The target type is 'ko' as it is in Korean, but since the query is about a general medical topic, it is categorized as 'general'. The subject type is 'Tech/Medical' because it pertains to medical science and genetics.
Category: {'task_type': 'knowledge', 'target_type': 'general', 'subject_type': ['Tech/Medical']}
|
Rationale: The query is asking for an explanation related to genes associated with tumors. This involves understanding the biological and medical aspects of genes and their role in cancer, which requires knowledge of medical science and genetics. Therefore, the task type is 'knowledge' because it is seeking factual information. The target type is 'ko' as it is in Korean, but since the query is about a general medical topic, it is categorized as 'general'. The subject type is 'Tech/Medical' because it pertains to medical science and genetics.
Category: {'task_type': 'knowledge', 'target_type': 'general', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,711 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': 'ํฌ ๋๋ ํ๋ผ์คํฑ์ ํ๋ฆ ๋ฑ์ ์ฃผ์ฑ๋ถ๊ณผ ๊ธฐ์ ๋๋ ์ฒจ๊ฐ์ ๋ก ๋ ํผํฉ๋ฌผ์ ์ ์ฐ ๋๋ ๋ด์
ํ์ฌ ํผ๋ถ์ ์ ์ฐฉ์์ผ ์ฐ๋ ๊ตญ์์ ์์ฉํ๋ ์ธ์ฉ์ ๋?', 'options': {'A': '์ฒฉ๋ถ์ ', 'B': 'ํฌ๋ฆผ์ ', 'C': '์ฐ๊ณ ์ ', 'D': '๋ฆฌ๋๋ฉํธ์ ', 'E': 'ํ์ด์คํธ์ '}, 'answer': 'A', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'pharm', 'year': 2020, 'period': 2}}
|
ํฌ ๋๋ ํ๋ผ์คํฑ์ ํ๋ฆ ๋ฑ์ ์ฃผ์ฑ๋ถ๊ณผ ๊ธฐ์ ๋๋ ์ฒจ๊ฐ์ ๋ก ๋ ํผํฉ๋ฌผ์ ์ ์ฐ ๋๋ ๋ด์
ํ์ฌ ํผ๋ถ์ ์ ์ฐฉ์์ผ ์ฐ๋ ๊ตญ์์ ์์ฉํ๋ ์ธ์ฉ์ ๋?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํฌ ๋๋ ํ๋ผ์คํฑ์ ํ๋ฆ ๋ฑ์ ์ฃผ์ฑ๋ถ๊ณผ ๊ธฐ์ ๋๋ ์ฒจ๊ฐ์ ๋ก ๋ ํผํฉ๋ฌผ์ ์ ์ฐ ๋๋ ๋ด์
ํ์ฌ ํผ๋ถ์ ์ ์ฐฉ์์ผ ์ฐ๋ ๊ตญ์์ ์์ฉํ๋ ์ธ์ฉ์ ๋?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ํฌ ๋๋ ํ๋ผ์คํฑ์ ํ๋ฆ ๋ฑ์ ์ฃผ์ฑ๋ถ๊ณผ ๊ธฐ์ ๋๋ ์ฒจ๊ฐ์ ๋ก ๋ ํผํฉ๋ฌผ์ ์ ์ฐ ๋๋ ๋ด์
ํ์ฌ ํผ๋ถ์ ์ ์ฐฉ์์ผ ์ฐ๋ ๊ตญ์์ ์์ฉํ๋ ์ธ์ฉ์ ๋?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ํฌ ๋๋ ํ๋ผ์คํฑ์ ํ๋ฆ ๋ฑ์ ์ฃผ์ฑ๋ถ๊ณผ ๊ธฐ์ ๋๋ ์ฒจ๊ฐ์ ๋ก ๋ ํผํฉ๋ฌผ์ ์ ์ฐ ๋๋ ๋ด์
ํ์ฌ ํผ๋ถ์ ์ ์ฐฉ์์ผ ์ฐ๋ ๊ตญ์์ ์์ฉํ๋ ์ธ์ฉ์ ๋?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking about a specific type of topical medication that is applied to the skin in the form of a film or plastic and adhered to the skin. This involves understanding the composition and application of the medication, which requires knowledge of medical formulations and their use. Therefore, the task type is 'knowledge' as it pertains to the application and understanding of a medical product. The target type is 'general' because the query does not specify any particular country or cultural region. The subject type is 'Tech/Medical' because the query is related to a medical product used topically on the skin.
Category: {'task_type': 'knowledge', 'target_type': 'general', 'subject_type': ['Tech/Medical']}
|
Rationale: The query is asking about a specific type of topical medication that is applied to the skin in the form of a film or plastic and adhered to the skin. This involves understanding the composition and application of the medication, which requires knowledge of medical formulations and their use. Therefore, the task type is 'knowledge' as it pertains to the application and understanding of a medical product. The target type is 'general' because the query does not specify any particular country or cultural region. The subject type is 'Tech/Medical' because the query is related to a medical product used topically on the skin.
Category: {'task_type': 'knowledge', 'target_type': 'general', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,712 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '๋ฌด๊ท ์ฌ๊ณผ๋ฅผ ์ํ์ฌ ํํฐ์ ์ ํจ์ฑ์ ์ ๊ฒํ๋ ์์ ์ฑ ์ํ(intergrity test)์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?', 'options': {'A': '๋ฐฉ์ธ์ ์ํ๊ณผ ํ์ฐ์ํ์ ๋นํ๊ดด์ํ์ด๋ค.', 'B': 'ํํฐ ์ ์กฐ์ฌ์์ ์ค์ํ๋ ์ธ๊ท ๋ถํ์ํ์ ๋นํ๊ดด์ํ์ด๋ค.', 'C': '๋ฐฉ์ธ์ ์ํ์์ ๋ฉค๋ธ๋ ์ธ ๋ด์ ๊ธฐ๊ณต ํฌ๊ธฐ๊ฐ ํด์๋ก ๋ฐฉ์ธ์ ์๋ ฅ์ด ๋๋ค.', 'D': '๋ฐฉ์ธ์ ์ํ์์ ๋ช
์๋ ์๋ ฅ๋ณด๋ค ๋ฐฉ์ธ์ ์๋ ฅ์ด ๋ฎ์ผ๋ฉด ํํฐ์ ์์์ด ์์์ ์๋ฏธํ๋ค.', 'E': 'ํํฐ์ ๊ณต๊ทน๋ฅ ์ด ์ผ์ ํ๋ค๋ฉด ๋ฐฉ์ธ์ ์๋ ฅ์ ํํฐ์ ํํ(disk type ๋๋ cartridge type)์ ์ํฅ์ ๋ฐ์ง ์๋๋ค.'}, 'answer': 'A', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'pharmacy', 'year': 2024, 'period': 4}}
|
๋ฌด๊ท ์ฌ๊ณผ๋ฅผ ์ํ์ฌ ํํฐ์ ์ ํจ์ฑ์ ์ ๊ฒํ๋ ์์ ์ฑ ์ํ(intergrity test)์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ฌด๊ท ์ฌ๊ณผ๋ฅผ ์ํ์ฌ ํํฐ์ ์ ํจ์ฑ์ ์ ๊ฒํ๋ ์์ ์ฑ ์ํ(intergrity test)์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: ๋ฌด๊ท ์ฌ๊ณผ๋ฅผ ์ํ์ฌ ํํฐ์ ์ ํจ์ฑ์ ์ ๊ฒํ๋ ์์ ์ฑ ์ํ(intergrity test)์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: ๋ฌด๊ท ์ฌ๊ณผ๋ฅผ ์ํ์ฌ ํํฐ์ ์ ํจ์ฑ์ ์ ๊ฒํ๋ ์์ ์ฑ ์ํ(intergrity test)์ ๊ดํ ์ค๋ช
์ผ๋ก ์ณ์ ๊ฒ์?
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
Rationale: The query is asking for an explanation of the integrity test for filters used in sterile filtration, which involves understanding the process and criteria for ensuring the filter's effectiveness. This requires knowledge of medical procedures and standards, particularly in the context of maintaining sterility, which is crucial in medical settings. Therefore, the appropriate category for this query is 'knowledge' for task_type, 'ko' for target_type (targeting Korea), and 'Tech/Medical' for subject_type.
</r>
###Final Response:
{'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
Rationale: The query is asking for an explanation of the integrity test for filters used in sterile filtration, which involves understanding the process and criteria for ensuring the filter's effectiveness. This requires knowledge of medical procedures and standards, particularly in the context of maintaining sterility, which is crucial in medical settings. Therefore, the appropriate category for this query is 'knowledge' for task_type, 'ko' for target_type (targeting Korea), and 'Tech/Medical' for subject_type.
</r>
###Final Response:
{'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Tech/Medical']}
|
['Tech/Medical']
|
15,713 |
{'problem_type': 'MCQA', 'task_type': None, 'target_type': None, 'subject_type': ['Tech/Medical'], 'context': None, 'prompt': '7์ธ ๋จ์๊ฐ 3์ผ๊ฐ ์ด์ด ์์ด ๋ณ์์ ์๋ค. ์ฒด์จ 39.5โ์๋ค. ๋ชฉ ์์ ์ถฉํ๋์ด ๋ถ์ด ์๊ณ , ํ๋ ๋ถ์ ๋ธ๊ธฐ ๋ชจ์์ด๊ณ ์
์ฃผ์๋ ์ฐฝ๋ฐฑํ์๋ค. ์ฌํ๊ตฌ๋์ ๋ถ์ ์ ์ด ์๊ณ , ๋ชธํต์๋ ์๋ฆ์ด ๋ผ์น ๊ฒ ๊ฐ์ ๋ฐ์ง์ด ์์๋ค. ๋ชฉ ๋ค์์ ๋ฆผํ์ ์ด ๋ง์ ธ์ก๋ค. ํ์ก๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค. ์ง๋จ์?ํ์์ 13.5 g/dL, ๋ฐฑํ๊ตฌ 14,500/mm^3, ํ์ํ 350,000/mm^3, ์ ํ๊ตฌ์นจ๊ฐ์๋ 35 mm/์๊ฐ (์ฐธ๊ณ ์น, <10) ๋ง์ดํ์กํด๋ฐ๋ฅธํ๋ณธ: ๋ ์ค์ฑ๊ตฌ 8% , ๋ฆผํ๊ตฌ์ ์ ํ๊ตฌ ๋ชจ์์ ์ ์์์คํ๋ฅดํ
์ดํธ์๋ฏธ๋
ธ์ ๋ฌํจ์ 35 U/L, ์๋ผ๋์๋ฏธ๋
ธ์ ๋ฌํจ์ 25 U/L', 'options': {'A': 'ํ์ญ', 'B': '์ฑํ์ด', 'C': '๊ฐ์์ฌํค๋ณ', 'D': '๊ฐ์ผ๋จํต๊ตฌ์ฆ', 'E': '์์๋ฅ๋งํฐ์ค๊ด์ ์ผ'}, 'answer': 'B', 'reference': '', 'benchmark_name': 'sean0042/KorMedMCQA', 'original_category': None, 'additional_info': {'subject': 'doctor', 'year': 2015, 'period': 1}}
|
7์ธ ๋จ์๊ฐ 3์ผ๊ฐ ์ด์ด ์์ด ๋ณ์์ ์๋ค. ์ฒด์จ 39.5โ์๋ค. ๋ชฉ ์์ ์ถฉํ๋์ด ๋ถ์ด ์๊ณ , ํ๋ ๋ถ์ ๋ธ๊ธฐ ๋ชจ์์ด๊ณ ์
์ฃผ์๋ ์ฐฝ๋ฐฑํ์๋ค. ์ฌํ๊ตฌ๋์ ๋ถ์ ์ ์ด ์๊ณ , ๋ชธํต์๋ ์๋ฆ์ด ๋ผ์น ๊ฒ ๊ฐ์ ๋ฐ์ง์ด ์์๋ค. ๋ชฉ ๋ค์์ ๋ฆผํ์ ์ด ๋ง์ ธ์ก๋ค. ํ์ก๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค. ์ง๋จ์?ํ์์ 13.5 g/dL, ๋ฐฑํ๊ตฌ 14,500/mm^3, ํ์ํ 350,000/mm^3, ์ ํ๊ตฌ์นจ๊ฐ์๋ 35 mm/์๊ฐ (์ฐธ๊ณ ์น, <10) ๋ง์ดํ์กํด๋ฐ๋ฅธํ๋ณธ: ๋ ์ค์ฑ๊ตฌ 8% , ๋ฆผํ๊ตฌ์ ์ ํ๊ตฌ ๋ชจ์์ ์ ์์์คํ๋ฅดํ
์ดํธ์๋ฏธ๋
ธ์ ๋ฌํจ์ 35 U/L, ์๋ผ๋์๋ฏธ๋
ธ์ ๋ฌํจ์ 25 U/L
| null |
{'subject_type': ['Tech/Medical']}
|
['subject_type']
|
Assign one label to the following query. Refer to the description of each label and the output format.
Explain the rationale first, and then present the output in the following format: {'subject_type' : LIST[str]}
Please provide the following information for the query:
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 7์ธ ๋จ์๊ฐ 3์ผ๊ฐ ์ด์ด ์์ด ๋ณ์์ ์๋ค. ์ฒด์จ 39.5โ์๋ค. ๋ชฉ ์์ ์ถฉํ๋์ด ๋ถ์ด ์๊ณ , ํ๋ ๋ถ์ ๋ธ๊ธฐ ๋ชจ์์ด๊ณ ์
์ฃผ์๋ ์ฐฝ๋ฐฑํ์๋ค. ์ฌํ๊ตฌ๋์ ๋ถ์ ์ ์ด ์๊ณ , ๋ชธํต์๋ ์๋ฆ์ด ๋ผ์น ๊ฒ ๊ฐ์ ๋ฐ์ง์ด ์์๋ค. ๋ชฉ ๋ค์์ ๋ฆผํ์ ์ด ๋ง์ ธ์ก๋ค. ํ์ก๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค. ์ง๋จ์?ํ์์ 13.5 g/dL, ๋ฐฑํ๊ตฌ 14,500/mm^3, ํ์ํ 350,000/mm^3, ์ ํ๊ตฌ์นจ๊ฐ์๋ 35 mm/์๊ฐ (์ฐธ๊ณ ์น, <10) ๋ง์ดํ์กํด๋ฐ๋ฅธํ๋ณธ: ๋ ์ค์ฑ๊ตฌ 8% , ๋ฆผํ๊ตฌ์ ์ ํ๊ตฌ ๋ชจ์์ ์ ์์์คํ๋ฅดํ
์ดํธ์๋ฏธ๋
ธ์ ๋ฌํจ์ 35 U/L, ์๋ผ๋์๋ฏธ๋
ธ์ ๋ฌํจ์ 25 U/L
|
[{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'. \n - Categories: \n\n ### Science/Math \n ### Science/Stats \n ### Science/Physics \n ### Science/Astronomy \n ### Science/Chemistry \n ### Science/Biology \n ### Science/Earth_Science \n ### Science/Geology \n ### Science/Atmosphere \n ### Science/Life_Science \n\n ### Tech/Mechanics \n ### Tech/Materials \n ### Tech/Chemical_Eng \n ### Tech/Electrical \n ### Tech/IT \n ### Tech/Energy \n ### Tech/Nuclear_Eng \n ### Tech/Civil_Eng \n ### Tech/Urban_Eng \n ### Tech/AI \n ### Tech/Coding \n ### Tech/Env_Eng \n ### Tech/Aerospace \n ### Tech/Naval_Eng \n ### Tech/Agriculture \n ### Tech/Medical \n\n ### Society&Humanity/Literature \n ### Society&Humanity/Language \n ### Society&Humanity/Philosophy \n ### Society&Humanity/Religion \n ### Society&Humanity/Psychology \n ### Society&Humanity/History \n ### Society&Humanity/Geography \n ### Society&Humanity/Politics \n ### Society&Humanity/Economics \n ### Society&Humanity/Law \n ### Society&Humanity/Administration \n ### Society&Humanity/Welfare \n ### Society&Humanity/Education \n ### Society&Humanity/Trade \n ### Society&Humanity/Media \n ### Society&Humanity/Customs \n\n ### Arts&Sports/Architecture \n ### Arts&Sports/Sculpture \n ### Arts&Sports/Painting \n ### Arts&Sports/Music \n ### Arts&Sports/Performing \n ### Arts&Sports/Sports \n ### Arts&Sports/Photography \n ### Arts&Sports/Festivals \n ### Arts&Sports/Fashion \n\n ### Culture/Tradition \n ### Culture/Family \n ### Culture/Celebration_Holiday \n ### Culture/Work-life \n ### Culture/Food \n ### Culture/Clothing \n ### Culture/Housing \n ### Culture/Daily_Life \n \n Query: 7์ธ ๋จ์๊ฐ 3์ผ๊ฐ ์ด์ด ์์ด ๋ณ์์ ์๋ค. ์ฒด์จ 39.5โ์๋ค. ๋ชฉ ์์ ์ถฉํ๋์ด ๋ถ์ด ์๊ณ , ํ๋ ๋ถ์ ๋ธ๊ธฐ ๋ชจ์์ด๊ณ ์
์ฃผ์๋ ์ฐฝ๋ฐฑํ์๋ค. ์ฌํ๊ตฌ๋์ ๋ถ์ ์ ์ด ์๊ณ , ๋ชธํต์๋ ์๋ฆ์ด ๋ผ์น ๊ฒ ๊ฐ์ ๋ฐ์ง์ด ์์๋ค. ๋ชฉ ๋ค์์ ๋ฆผํ์ ์ด ๋ง์ ธ์ก๋ค. ํ์ก๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค. ์ง๋จ์?ํ์์ 13.5 g/dL, ๋ฐฑํ๊ตฌ 14,500/mm^3, ํ์ํ 350,000/mm^3, ์ ํ๊ตฌ์นจ๊ฐ์๋ 35 mm/์๊ฐ (์ฐธ๊ณ ์น, <10) ๋ง์ดํ์กํด๋ฐ๋ฅธํ๋ณธ: ๋ ์ค์ฑ๊ตฌ 8% , ๋ฆผํ๊ตฌ์ ์ ํ๊ตฌ ๋ชจ์์ ์ ์์์คํ๋ฅดํ
์ดํธ์๋ฏธ๋
ธ์ ๋ฌํจ์ 35 U/L, ์๋ผ๋์๋ฏธ๋
ธ์ ๋ฌํจ์ 25 U/L"}, {'role': 'system', 'content': "{'subject_type': ['Tech/Medical']}"}]
|
The following are the given queries and their corresponding categories, with descriptions for each category provided below. Generate a rationale to derive the appropriate category from each query.
- subject_type indicates the subject area the query is related to. Identify the content of the query and select one or more of the following values. If there is no matching category, respond with 'Misc'.
- Categories:
### Science/Math
### Science/Stats
### Science/Physics
### Science/Astronomy
### Science/Chemistry
### Science/Biology
### Science/Earth_Science
### Science/Geology
### Science/Atmosphere
### Science/Life_Science
### Tech/Mechanics
### Tech/Materials
### Tech/Chemical_Eng
### Tech/Electrical
### Tech/IT
### Tech/Energy
### Tech/Nuclear_Eng
### Tech/Civil_Eng
### Tech/Urban_Eng
### Tech/AI
### Tech/Coding
### Tech/Env_Eng
### Tech/Aerospace
### Tech/Naval_Eng
### Tech/Agriculture
### Tech/Medical
### Society&Humanity/Literature
### Society&Humanity/Language
### Society&Humanity/Philosophy
### Society&Humanity/Religion
### Society&Humanity/Psychology
### Society&Humanity/History
### Society&Humanity/Geography
### Society&Humanity/Politics
### Society&Humanity/Economics
### Society&Humanity/Law
### Society&Humanity/Administration
### Society&Humanity/Welfare
### Society&Humanity/Education
### Society&Humanity/Trade
### Society&Humanity/Media
### Society&Humanity/Customs
### Arts&Sports/Architecture
### Arts&Sports/Sculpture
### Arts&Sports/Painting
### Arts&Sports/Music
### Arts&Sports/Performing
### Arts&Sports/Sports
### Arts&Sports/Photography
### Arts&Sports/Festivals
### Arts&Sports/Fashion
### Culture/Tradition
### Culture/Family
### Culture/Celebration_Holiday
### Culture/Work-life
### Culture/Food
### Culture/Clothing
### Culture/Housing
### Culture/Daily_Life
Query: 7์ธ ๋จ์๊ฐ 3์ผ๊ฐ ์ด์ด ์์ด ๋ณ์์ ์๋ค. ์ฒด์จ 39.5โ์๋ค. ๋ชฉ ์์ ์ถฉํ๋์ด ๋ถ์ด ์๊ณ , ํ๋ ๋ถ์ ๋ธ๊ธฐ ๋ชจ์์ด๊ณ ์
์ฃผ์๋ ์ฐฝ๋ฐฑํ์๋ค. ์ฌํ๊ตฌ๋์ ๋ถ์ ์ ์ด ์๊ณ , ๋ชธํต์๋ ์๋ฆ์ด ๋ผ์น ๊ฒ ๊ฐ์ ๋ฐ์ง์ด ์์๋ค. ๋ชฉ ๋ค์์ ๋ฆผํ์ ์ด ๋ง์ ธ์ก๋ค. ํ์ก๊ฒ์ฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ์๋ค. ์ง๋จ์?ํ์์ 13.5 g/dL, ๋ฐฑํ๊ตฌ 14,500/mm^3, ํ์ํ 350,000/mm^3, ์ ํ๊ตฌ์นจ๊ฐ์๋ 35 mm/์๊ฐ (์ฐธ๊ณ ์น, <10) ๋ง์ดํ์กํด๋ฐ๋ฅธํ๋ณธ: ๋ ์ค์ฑ๊ตฌ 8% , ๋ฆผํ๊ตฌ์ ์ ํ๊ตฌ ๋ชจ์์ ์ ์์์คํ๋ฅดํ
์ดํธ์๋ฏธ๋
ธ์ ๋ฌํจ์ 35 U/L, ์๋ผ๋์๋ฏธ๋
ธ์ ๋ฌํจ์ 25 U/L
Category:{'subject_type': ['Tech/Medical']}
Rationale:
|
, ์ฝ๋ ์คํ
๋กค 130 mg/dL, ์ฝ๋ ์คํ
๋กค้
ฏ 140 mg/dL, ํธ๋ฆฌ๊ธ๋ฆฌ์ธ๋ผ์ด๋ 100 mg/dL, ํ์ฒญ์๋ฐ๋ค์ด๋ 1.5 mg/dL, ๋นจ๊ฐํ๊ตฌ์นจ๊ฐ์๋ 35 mm/hour (์ฐธ๊ณ ์น, <10), ์๋ฏธ๋ ํ๋ฏธํ ์ผํธ๋ฆฌ๊ธ๋ฆฌ์ธ๋ผ์ด๋ 1.2 mg/dL, ์ฝ๋ ์คํ
๋กค้
ฏ/ triglyceride ratio 1.04, bilirubin 1.4 mg/dL, alkaline phosphatase 70 U/L, aspartate aminotransferase 35 U/L, alanine aminotransferase 25 U/L, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, lactate dehydrogenase 250 U/L, fibrinogen 350 mg/dL, platelet 350,000/mm^3, white blood cell count 14,500/mm^3, erythrocyte sedimentation rate 35 mm/hour (refer to normal range, <10), neutrophil 8%, lymphocyte and red blood cell morphology are normal, amylase 1.5 mg/dL, and acetate 1.2 mg/dL, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, bilirubin 1.4 mg/dL, alkaline phosphatase 70 U/L, aspartate aminotransferase 35 U/L, alanine aminotransferase 25 U/L, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, lactate dehydro
|
, ์ฝ๋ ์คํ
๋กค 130 mg/dL, ์ฝ๋ ์คํ
๋กค้
ฏ 140 mg/dL, ํธ๋ฆฌ๊ธ๋ฆฌ์ธ๋ผ์ด๋ 100 mg/dL, ํ์ฒญ์๋ฐ๋ค์ด๋ 1.5 mg/dL, ๋นจ๊ฐํ๊ตฌ์นจ๊ฐ์๋ 35 mm/hour (์ฐธ๊ณ ์น, <10), ์๋ฏธ๋ ํ๋ฏธํ ์ผํธ๋ฆฌ๊ธ๋ฆฌ์ธ๋ผ์ด๋ 1.2 mg/dL, ์ฝ๋ ์คํ
๋กค้
ฏ/ triglyceride ratio 1.04, bilirubin 1.4 mg/dL, alkaline phosphatase 70 U/L, aspartate aminotransferase 35 U/L, alanine aminotransferase 25 U/L, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, lactate dehydrogenase 250 U/L, fibrinogen 350 mg/dL, platelet 350,000/mm^3, white blood cell count 14,500/mm^3, erythrocyte sedimentation rate 35 mm/hour (refer to normal range, <10), neutrophil 8%, lymphocyte and red blood cell morphology are normal, amylase 1.5 mg/dL, and acetate 1.2 mg/dL, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, bilirubin 1.4 mg/dL, alkaline phosphatase 70 U/L, aspartate aminotransferase 35 U/L, alanine aminotransferase 25 U/L, triglyceride 100 mg/dL, total cholesterol 130 mg/dL, high density lipoprotein (HDL) 40 mg/dL, low density lipoprotein (LDL) 60 mg/dL, lactate dehydro
|
['Tech/Medical']
|
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