Search is not available for this dataset
Unnamed: 0
stringclasses 8
values | Prompt
stringclasses 8
values | Context
stringclasses 1
value | Label
stringclasses 5
values | Valid_keys
stringclasses 2
values | message_prompt
stringclasses 8
values | message
stringclasses 8
values | new_prompt
stringclasses 5
values | output
stringclasses 5
values | task_type
stringclasses 1
value | target_type
stringclasses 1
value | subject_type
stringclasses 5
values | prompt
stringclasses 8
values | context
stringclasses 2
values | options
stringclasses 4
values | answer
stringclasses 3
values | reference
stringclasses 1
value | problem_type
stringclasses 2
values | benchmark_name
stringclasses 2
values | original_category
stringclasses 4
values | additional_info
stringclasses 8
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14949 | λ€μμ νκ΅μ λμ€λ¬Ένμ λν λ¬Έμ μ΄λ€.
νκ΅μμ λμ€μ μΌλ‘ κ΅μ κ²½κΈ°μμ μ’μ μ±μ μ κ±°λκ³ μλ μ€ν¬μΈ λ 무μμΈκ°? | nan | {'target_type': 'ko'} | ['target_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: {'target_type' : str}
Please provide the following information for the query:
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
Query: λ€μμ νκ΅μ λμ€λ¬Ένμ λν λ¬Έμ μ΄λ€.
νκ΅μμ λμ€μ μΌλ‘ κ΅μ κ²½κΈ°μμ μ’μ μ±μ μ κ±°λκ³ μλ μ€ν¬μΈ λ 무μμΈκ°? | [{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'target_type' : str}\n Please provide the following information for the query:\n \n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \n Query: λ€μμ νκ΅μ λμ€λ¬Ένμ λν λ¬Έμ μ΄λ€.\nνκ΅μμ λμ€μ μΌλ‘ κ΅μ κ²½κΈ°μμ μ’μ μ±μ μ κ±°λκ³ μλ μ€ν¬μΈ λ 무μμΈκ°?"}, {'role': 'system', 'content': "{'target_type': 'ko'}"}] | 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.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
Query: λ€μμ νκ΅μ λμ€λ¬Ένμ λν λ¬Έμ μ΄λ€.
νκ΅μμ λμ€μ μΌλ‘ κ΅μ κ²½κΈ°μμ μ’μ μ±μ μ κ±°λκ³ μλ μ€ν¬μΈ λ 무μμΈκ°?
Category:{'target_type': 'ko'}
Rationale: | Rationale: The query is written in Korean and explicitly mentions "νκ΅" (Korea) and "νκ΅μμ" (in Korea), indicating that it is targeting Korea. The query is asking about sports that are popular and perform well internationally in Korea, which further confirms that the target audience is Korean. Therefore, the appropriate category for this query is {'target_type': 'ko'}.
```json
{
"target_type": "ko"
}``` | value | ko | ['Arts&Sports/Sports'] | λ€μμ νκ΅μ λμ€λ¬Ένμ λν λ¬Έμ μ΄λ€.
νκ΅μμ λμ€μ μΌλ‘ κ΅μ κ²½κΈ°μμ μ’μ μ±μ μ κ±°λκ³ μλ μ€ν¬μΈ λ 무μμΈκ°? | {'A': 'μκΆ, νκΆλ, μΌνΈνΈλ, μ€νΌλ μ€μΌμ΄ν
', 'B': 'μΌκ΅¬, μΆκ΅¬', 'C': 'λꡬ, μκΆ', 'D': 'μΌνΈνΈλ, μ€ν€'} | A | None | MCQA | EunsuKim/CLIcK | Popular | {'id': 'KIIP_popular_1'} |
|
15127 | λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
μλμ΄ μ΅μ μκ³λΉλ³΄λ€ μ μ μ μλμΈ΅μ μ΄λ€ μ λλ₯Ό ν΅ν΄ μ΄λ€ μ§μμ λ°μ μ μλκ°? | nan | {'target_type': 'ko'} | ['target_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: {'target_type' : str}
Please provide the following information for the query:
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
Query: λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
μλμ΄ μ΅μ μκ³λΉλ³΄λ€ μ μ μ μλμΈ΅μ μ΄λ€ μ λλ₯Ό ν΅ν΄ μ΄λ€ μ§μμ λ°μ μ μλκ°? | [{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'target_type' : str}\n Please provide the following information for the query:\n \n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \n Query: λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.\nμλμ΄ μ΅μ μκ³λΉλ³΄λ€ μ μ μ μλμΈ΅μ μ΄λ€ μ λλ₯Ό ν΅ν΄ μ΄λ€ μ§μμ λ°μ μ μλκ°?"}, {'role': 'system', 'content': "{'target_type': 'ko'}"}] | 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.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
Query: λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
μλμ΄ μ΅μ μκ³λΉλ³΄λ€ μ μ μ μλμΈ΅μ μ΄λ€ μ λλ₯Ό ν΅ν΄ μ΄λ€ μ§μμ λ°μ μ μλκ°?
Category:{'target_type': 'ko'}
Rationale: | The query is written in Korean and specifically mentions "νκ΅μ¬ν" which translates to "Korean society." This indicates that the query is targeting issues related to Korea. Additionally, the query is asking about the support systems available for low-income groups in Korea, further confirming that the focus is on Korean society and its social welfare systems.
Therefore, the appropriate category for this query is 'ko' which stands for targeting Korea.
Rationale: The query is in Korean and explicitly mentions Korean society, indicating that it is targeting Korea. The content of the query is about social support systems in Korea, which further supports the categorization under 'ko'.
```json
{
"target_type": "ko"
}``` | value | ko | ['Culture/Work-life'] | λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
μλμ΄ μ΅μ μκ³λΉλ³΄λ€ μ μ μ μλμΈ΅μ μ΄λ€ μ λλ₯Ό ν΅ν΄ μ΄λ€ μ§μμ λ°μ μ μλκ°? | {'A': 'κ΅λ―ΌκΈ°μ΄μν보μ₯μ λλ₯Ό ν΅ν΄ μνλΉμ μλ£λΉλ₯Ό μ§μλ°μ μ μλ€', 'B': 'μλ£κΈμ¬ μ λλ₯Ό ν΅ν΄ μνλΉμ μλ£λΉλ₯Ό μ§μλ°μ μ μλ€', 'C': 'κ΅λ―ΌκΈ°μ΄μν보μ₯μ λλ₯Ό ν΅ν΄ μνλΉλ₯Ό, μλ£κΈμ¬ μ λλ₯Ό ν΅ν΄ μλ£λΉλ₯Ό μ§μλ°μ μ μλ€', 'D': 'κ΅λ―ΌκΈ°μ΄μν보μ₯μ λμ μλ£κΈμ¬ μ λλ₯Ό ν΅ν΄ μνλΉλ§ μ§μλ°μ μ μλ€'} | C | None | MCQA | EunsuKim/CLIcK | Society | {'id': 'KIIP_society_143'} |
|
15806 | λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ? | nan | {'task_type': 'Knowledge', 'target_type': 'pe', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Food']} | ['task_type', 'target_type', 'subject_type'] | Assign three labels 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: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}
Please provide the following information for the query:
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ? | [{'role': 'user', 'content': "Assign three labels to the following query. Refer to the description of each label and the output format.\n Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str],'Rationale': str}\n Please provide the following information for the query:\n \n - task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']\n - Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.\n \n\n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \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: λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ?"}, {'role': 'system', 'content': "{'task_type': 'Knowledge', 'target_type': 'pe', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Food']}"}] | 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.
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ?
Category:{'task_type': 'Knowledge', 'target_type': 'pe', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Food']}
Rationale: | The query "λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ?" translates to "Which foods from South Korea are considered disgusting by people from other countries?"
### Rationale:
1. **Task Type**:
- **Knowledge**: The query is asking for information about specific foods from South Korea that might be perceived negatively by people from other countries. This is a request for factual information about cultural perceptions, which falls under the category of knowledge-based questions.
2. **Target Type**:
- **ko**: The query specifically targets South Korea as it is asking about foods from South Korea.
- **general**: The query also implicitly targets a general audience since it is asking about the perceptions of people from other countries, without specifying any particular country or cultural region.
3. **Subject Type**:
- **Culture/Food**: The primary focus of the query is on food, which is a cultural aspect.
- **Culture/Daily_Life**: The query also touches on daily life as it involves common foods that are part of everyday life in South Korea.
- **Misc**: There is no need for 'Commonsense' as a category here since the query is more specific to cultural perceptions and food.
### Corrected Category:
```json
{
"task_type": "knowledge",
"target_type": ["ko", "general"],
"subject_type": ["Culture/Food", "Culture/Daily_Life"]
}
```
This categorization accurately reflects the nature of the query, the target audience, and the subject matter involved.
```json
{
"task_type": "Knowledge",
"target_type": "pe",
"subject_type": [
"Commonsense",
"Culture/Daily",
"Culture/Food"
]
}``` | value | ko | ['Culture/Food'] | λνλ―Όκ΅μ μ΄λ€ μμμ΄ λ€λ₯Έ λλΌ μ¬λλ€μκ² νμ€μ€λ½κ² μ¬κ²¨μ§λμ? | None | None | None | None | free-form | nayeon212/BLEnD | Food | {'ID': 'Ki-pe-40', 'Topic': 'Food', 'Source': 'Persian (Iran)', 'Translation': 'Which food from South Korea is considered disgusting by the rest of the world?'} |
15965 | λνλ―Όκ΅μμ κ°μ‘±κ³Ό ν¨κ» νλ κ²μ μ€ κ°μ₯ μΈκΈ° μλ κ²μμ 무μμΈκ°μ? | nan | {'task_type': 'Knowledge', 'target_type': 'en', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']} | ['task_type', 'target_type', 'subject_type'] | Assign three labels 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: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}
Please provide the following information for the query:
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅μμ κ°μ‘±κ³Ό ν¨κ» νλ κ²μ μ€ κ°μ₯ μΈκΈ° μλ κ²μμ 무μμΈκ°μ? | [{'role': 'user', 'content': "Assign three labels to the following query. Refer to the description of each label and the output format.\n Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str],'Rationale': str}\n Please provide the following information for the query:\n \n - task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']\n - Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.\n \n\n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \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: λνλ―Όκ΅μμ κ°μ‘±κ³Ό ν¨κ» νλ κ²μ μ€ κ°μ₯ μΈκΈ° μλ κ²μμ 무μμΈκ°μ?"}, {'role': 'system', 'content': "{'task_type': 'Knowledge', 'target_type': 'en', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']}"}] | 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.
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅μμ κ°μ‘±κ³Ό ν¨κ» νλ κ²μ μ€ κ°μ₯ μΈκΈ° μλ κ²μμ 무μμΈκ°μ?
Category:{'task_type': 'Knowledge', 'target_type': 'en', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']}
Rationale: | ### Rationale:
1. **Task Type: Knowledge**
- The query is asking for information about the most popular game played with family in South Korea. This is a straightforward request for factual information, which falls under the category of knowledge-based questions.
2. **Target Type: ko**
- The query is specifically asking about the context within South Korea (λνλ―Όκ΅). Therefore, the target type should be 'ko' for Korea.
3. **Subject Type: Culture/Family, Culture/Daily_Life**
- The query is related to family activities and daily life in South Korea. It is asking about a common cultural practice (playing games with family), which fits under 'Culture/Family' and 'Culture/Daily_Life'.
### Corrected Category:
```json
{
"task_type": "knowledge",
"target_type": "ko",
"subject_type": ["Culture/Family", "Culture/Daily_Life"]
}
```
```json
{
"task_type": "Knowledge",
"target_type": "en",
"subject_type": [
"Commonsense",
"Culture/Daily",
"Culture/Family"
]
}``` | value | ko | ['Culture/Daily_Life'] | λνλ―Όκ΅μμ κ°μ‘±κ³Ό ν¨κ» νλ κ²μ μ€ κ°μ₯ μΈκΈ° μλ κ²μμ 무μμΈκ°μ? | None | None | None | None | free-form | nayeon212/BLEnD | Family | {'ID': 'Th-en-39', 'Topic': 'Family', 'Source': 'English (US)', 'Translation': 'What is a popular family game in South Korea?'} |
21084 | λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
νκ΅ μ§μ₯μΈλ€μ μΌλ°μ μΌλ‘ μΈμ ν΄κ°λ₯Ό μ¬μ©νλκ°? | nan | {'target_type': 'ko'} | ['target_type'] | Assign one label to the following query. Refer to the description of each label and the output format.
Output format: {'target_type' : str}
Please provide the following information for the query:
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
Query: λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
νκ΅ μ§μ₯μΈλ€μ μΌλ°μ μΌλ‘ μΈμ ν΄κ°λ₯Ό μ¬μ©νλκ°? | [{'role': 'user', 'content': "Assign one label to the following query. Refer to the description of each label and the output format.\n Output format: {'target_type' : str}\n Please provide the following information for the query:\n \n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \n Query: λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.\nνκ΅ μ§μ₯μΈλ€μ μΌλ°μ μΌλ‘ μΈμ ν΄κ°λ₯Ό μ¬μ©νλκ°?"}, {'role': 'system', 'content': "{'target_type': 'ko'}"}] | nan | nan | value | ko | ['Culture/Daily_Life', 'Culture/Work-life'] | λ€μμ νκ΅μ¬νμ λν λ¬Έμ μ΄λ€.
νκ΅ μ§μ₯μΈλ€μ μΌλ°μ μΌλ‘ μΈμ ν΄κ°λ₯Ό μ¬μ©νλκ°? | {'A': '1μ', 'B': '4μ', 'C': '7μ λ§μ΄λ 8μ μ΄', 'D': '12μ'} | C | None | MCQA | EunsuKim/CLIcK | Society | {'id': 'KIIP_society_93'} |
|
21314 | λνλ―Όκ΅μμ λΌλ§λ¨ κΈ°κ°μ λ λ§μ΄ νλ¦¬κ³ νν 보μ΄λ κ³ΌμΌμ 무μμΈκ°μ? | nan | {'task_type': 'Knowledge', 'target_type': 'in', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Food']} | ['task_type', 'target_type', 'subject_type'] | Assign three labels to the following query. Refer to the description of each label and the output format.
Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}
Please provide the following information for the query:
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅μμ λΌλ§λ¨ κΈ°κ°μ λ λ§μ΄ νλ¦¬κ³ νν 보μ΄λ κ³ΌμΌμ 무μμΈκ°μ? | [{'role': 'user', 'content': "Assign three labels to the following query. Refer to the description of each label and the output format.\n Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']\n - Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.\n \n\n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \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: λνλ―Όκ΅μμ λΌλ§λ¨ κΈ°κ°μ λ λ§μ΄ νλ¦¬κ³ νν 보μ΄λ κ³ΌμΌμ 무μμΈκ°μ?"}, {'role': 'system', 'content': "{'task_type': 'Knowledge', 'target_type': 'in', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Food']}"}] | nan | nan | value | ko | ['Culture/Daily_Life', 'Culture/Work-life'] | λνλ―Όκ΅μμ λΌλ§λ¨ κΈ°κ°μ λ λ§μ΄ νλ¦¬κ³ νν 보μ΄λ κ³ΌμΌμ 무μμΈκ°μ? | None | None | None | None | free-form | nayeon212/BLEnD | Food | {'ID': 'Kik-in-17', 'Topic': 'Food', 'Source': 'Indonesian (Indonesia)', 'Translation': 'What fruit is more commonly sold and found during Ramadan in South Korea?'} |
21370 | λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ μΈμ (무μμ ν νμ) λΆλͺ¨λ‘λΆν° λ
립μ νλμ? | nan | {'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']} | ['task_type', 'target_type', 'subject_type'] | Assign three labels to the following query. Refer to the description of each label and the output format.
Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}
Please provide the following information for the query:
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ μΈμ (무μμ ν νμ) λΆλͺ¨λ‘λΆν° λ
립μ νλμ? | [{'role': 'user', 'content': "Assign three labels to the following query. Refer to the description of each label and the output format.\n Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']\n - Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.\n \n\n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \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: λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ μΈμ (무μμ ν νμ) λΆλͺ¨λ‘λΆν° λ
립μ νλμ?"}, {'role': 'system', 'content': "{'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']}"}] | nan | nan | value | ko | ['Culture/Work-life'] | λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ μΈμ (무μμ ν νμ) λΆλͺ¨λ‘λΆν° λ
립μ νλμ? | None | None | None | None | free-form | nayeon212/BLEnD | Family | {'ID': 'Ji-ko-26', 'Topic': 'Family', 'Source': 'Korean (South Korea)', 'Translation': "What are the key milestones associated with children's independence from their parents in South Korea's society?"} |
21372 | λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ 첫 μκΈμ νΉλ³ν μ΄λμ μ°λμ? | nan | {'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']} | ['task_type', 'target_type', 'subject_type'] | Assign three labels to the following query. Refer to the description of each label and the output format.
Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}
Please provide the following information for the query:
- task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']
- Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.
- target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.
- Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha
- 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: λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ 첫 μκΈμ νΉλ³ν μ΄λμ μ°λμ? | [{'role': 'user', 'content': "Assign three labels to the following query. Refer to the description of each label and the output format.\n Output format: {'task_type' : str,'target_type' : str,'subject_type' : LIST[str]}\n Please provide the following information for the query:\n \n - task_type indicates the type of task the query belongs to. Please choose one of the following values based on the description below: ['knowledge', 'reasoning', 'value', 'other']\n - Description: knowledge: knowledge-based questions, reasoning: reasoning-based questions, value: value judgment or behavior pattern-based questions, other: other questions that do not fall into any of these categories.\n \n\n - target_type indicates the country or cultural region targeted by the query. Select all the values that apply to the country or cultural region the query is targeting. If there is no corresponding value, you can add it.\n - Description: general: general target, ko: targeting Korea, us: targeting the United States, jp: targeting Japan, uk: targeting the United Kingdom, additional options: ch, pe, in, ar, sp, su, am, as, gr, az, sp, me, ha\n \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: λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ 첫 μκΈμ νΉλ³ν μ΄λμ μ°λμ?"}, {'role': 'system', 'content': "{'task_type': 'Knowledge', 'target_type': 'ko', 'subject_type': ['Commonsense', 'Culture/Daily', 'Culture/Family']}"}] | nan | nan | value | ko | ['Culture/Daily_Life', 'Culture/Work-life'] | λνλ―Όκ΅ μ¬νμμ μ¬λλ€μ 첫 μκΈμ νΉλ³ν μ΄λμ μ°λμ? | None | None | None | None | free-form | nayeon212/BLEnD | Family | {'ID': 'Ji-ko-22', 'Topic': 'Family', 'Source': 'Korean (South Korea)', 'Translation': "What do people especially spend their first salary on in South Korea's society?"} |
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