maywell/korean_textbooks

---
language:
- ko
license: apache-2.0
size_categories:
- 1M<n<10M
pretty_name: 대규모 한국어 Synthetic 데이터
dataset_info:
- config_name: claude_evol
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 992896186
num_examples: 239102
download_size: 380188122
dataset_size: 992896186
- config_name: code-alpaca
features:
- name: text
dtype: string
splits:
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download_size: 100817441
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features:
- name: text
dtype: string
splits:
- name: train
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features:
- name: text
dtype: string
splits:
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- config_name: mmlu_abstract_algebra
features:
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- name: text
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- name: text
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- name: text
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- name: text
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- name: text
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- name: '0'
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splits:
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dataset_size: 325427761
- config_name: mmlu_human_sexuality
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- name: '0'
dtype: string
splits:
- name: train
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dataset_size: 328912659
- config_name: mmlu_international_law
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- name: '0'
dtype: string
splits:
- name: train
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num_examples: 78989
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dataset_size: 327874597
- config_name: normal_instructions
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 956305865
num_examples: 240523
download_size: 362796244
dataset_size: 956305865
- config_name: tiny-textbooks
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 1722063576
num_examples: 395985
download_size: 635724860
dataset_size: 1722063576
configs:
- config_name: claude_evol
data_files:
- split: train
path: claude_evol/train-*
- config_name: code-alpaca
data_files:
- split: train
path: code-alpaca/train-*
- config_name: helpsteer
data_files:
- split: train
path: helpsteer/train-*
- config_name: ko_wikidata
data_files:
- split: train
path: ko_wikidata/train-*
- config_name: mmlu_abstract_algebra
data_files:
- split: train
path: mmlu_abstract_algebra/train-*
- config_name: mmlu_all
data_files:
- split: train
path: mmlu_all/train-*
- config_name: mmlu_anatomy
data_files:
- split: train
path: mmlu_anatomy/train-*
- config_name: mmlu_astronomy
data_files:
- split: train
path: mmlu_astronomy/train-*
- config_name: mmlu_business_ethics
data_files:
- split: train
path: mmlu_business_ethics/train-*
- config_name: mmlu_clinical_knowledge
data_files:
- split: train
path: mmlu_clinical_knowledge/train-*
- config_name: mmlu_college_biology
data_files:
- split: train
path: mmlu_college_biology/train-*
- config_name: mmlu_college_chemistry
data_files:
- split: train
path: mmlu_college_chemistry/train-*
- config_name: mmlu_college_computer_science
data_files:
- split: train
path: mmlu_college_computer_science/train-*
- config_name: mmlu_college_mathematics
data_files:
- split: train
path: mmlu_college_mathematics/train-*
- config_name: mmlu_college_medicine
data_files:
- split: train
path: mmlu_college_medicine/train-*
- config_name: mmlu_college_physics
data_files:
- split: train
path: mmlu_college_physics/train-*
- config_name: mmlu_computer_security
data_files:
- split: train
path: mmlu_computer_security/train-*
- config_name: mmlu_conceptual_physics
data_files:
- split: train
path: mmlu_conceptual_physics/train-*
- config_name: mmlu_econometrics
data_files:
- split: train
path: mmlu_econometrics/train-*
- config_name: mmlu_electrical_engineering
data_files:
- split: train
path: mmlu_electrical_engineering/train-*
- config_name: mmlu_elementary_mathematics
data_files:
- split: train
path: mmlu_elementary_mathematics/train-*
- config_name: mmlu_formal_logic
data_files:
- split: train
path: mmlu_formal_logic/train-*
- config_name: mmlu_global_facts
data_files:
- split: train
path: mmlu_global_facts/train-*
- config_name: mmlu_high_school_biology
data_files:
- split: train
path: mmlu_high_school_biology/train-*
- config_name: mmlu_high_school_chemistry
data_files:
- split: train
path: mmlu_high_school_chemistry/train-*
- config_name: mmlu_high_school_computer_science
data_files:
- split: train
path: mmlu_high_school_computer_science/train-*
- config_name: mmlu_high_school_european_history
data_files:
- split: train
path: mmlu_high_school_european_history/train-*
- config_name: mmlu_high_school_geography
data_files:
- split: train
path: mmlu_high_school_geography/train-*
- config_name: mmlu_high_school_government_and_politics
data_files:
- split: train
path: mmlu_high_school_government_and_politics/train-*
- config_name: mmlu_high_school_macroeconomics
data_files:
- split: train
path: mmlu_high_school_macroeconomics/train-*
- config_name: mmlu_high_school_mathematics
data_files:
- split: train
path: mmlu_high_school_mathematics/train-*
- config_name: mmlu_high_school_microeconomics
data_files:
- split: train
path: mmlu_high_school_microeconomics/train-*
- config_name: mmlu_high_school_physics
data_files:
- split: train
path: mmlu_high_school_physics/train-*
- config_name: mmlu_high_school_psychology
data_files:
- split: train
path: mmlu_high_school_psychology/train-*
- config_name: mmlu_high_school_statistics
data_files:
- split: train
path: mmlu_high_school_statistics/train-*
- config_name: mmlu_high_school_us_history
data_files:
- split: train
path: mmlu_high_school_us_history/train-*
- config_name: mmlu_high_school_world_history
data_files:
- split: train
path: mmlu_high_school_world_history/train-*
- config_name: mmlu_human_aging
data_files:
- split: train
path: mmlu_human_aging/train-*
- config_name: mmlu_human_sexuality
data_files:
- split: train
path: mmlu_human_sexuality/train-*
- config_name: mmlu_international_law
data_files:
- split: train
path: mmlu_international_law/train-*
- config_name: normal_instructions
data_files:
- split: train
path: normal_instructions/train-*
- config_name: tiny-textbooks
data_files:
- split: train
path: tiny-textbooks/train-*
---

# Massive Korean synthetic dataset

This dataset is a large-scale Korean artificial data set created using Gemini Pro.
It was created using the methodology described in *Creation of synthetic textbook-quality datasets* in [Textbooks Are All You Need](https://arxiv.org/abs/2306.11644).

## Data overview

**A subset of each dataset does not indicate the contents of that dataset.**

**Further modification required before use this dataset for training.**

**본 데이터셋은 바로 사용하기보다는 하고자하는 task에 맞추어 가공 후 사용을 권장드립니다. ex) 로컬 모델을 사용하여 QA 셋으로 변환**

| subset | row count | link | + |
|---|---|---|---|
| tiny-textbooks | 395,985 | [nampdn-ai/tiny-textbooks](https://huggingface.co/datasets/nampdn-ai/tiny-textbooks) | |
| ko_wikidata | 127,614 | [maywell/ko_wikidata_QA](https://huggingface.co/datasets/maywell/ko_wikidata_QA) | |
| normal_instructions | 240,523 | [KonstantyM/science_qa](https://huggingface.co/datasets/KonstantyM/science_qa) | with science texts |
| claude_evol | 239,102 | [Norquinal/claude_evol_instruct_210k](https://huggingface.co/datasets/Norquinal/claude_evol_instruct_210k) | used 250k files from that repo |
| code-alpaca | 64,112 | [theblackcat102/evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) | original is a coding dataset, but generated data is not mainly a coding dataset |
| helpsteer | 25,253 | [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer) | |
| mmlu_abstract_algebra | 88,848 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_all | 97,765 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_anatomy | 97,463 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_astronomy | 97,347 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_business_ethics | 97,327 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_clinical_knowledge | 97,226 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_biology | 97,285 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_chemistry | 97,435 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_computer_science | 92,606 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_mathematics | 94,070 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_medicine | 95,156 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_college_physics | 97,452 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_computer_security | 97,212 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_conceptual_physics | 88,216 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_econometrics | 91,854 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_electrical_engineering | 87,826 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_elementary_mathematics | 89,307 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_formal_logic | 95,483 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_global_facts | 94,984 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_biology | 97,117 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_chemistry | 96,907 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_computer_science | 97,351 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_european_history | 97,222 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_geography | 97,261 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_government_and_politics | 97,311 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_macroeconomics | 97,400 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_mathematics | 97,396 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_microeconomics | 97,435 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_physics | 95,740 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_psychology | 80,626 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_statistics | 76,033 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_us_history | 79,322 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_high_school_world_history | 85,990 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_human_aging | 78,341 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_human_sexuality | 79,327 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |
| mmlu_international_law | 78,989 | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) | |

## When you find a problem

If you find any issues with the dataset, please let us know in the discussion or send us a pull request.

原始信息汇总

数据集概述

基本信息

• 语言: 韩语 (ko)
• 许可证: Apache-2.0
• 大小分类: 1M<n<10M
• 美观名称: 대규모 한국어 Synthetic 데이터

数据集配置详情

1. claude_evol

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 239,102
       • 数据大小: 992,896,186 字节
       • 下载大小: 380,188,122 字节

2. code-alpaca

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 64,112
       • 数据大小: 273,836,723 字节
       • 下载大小: 100,817,441 字节

3. helpsteer

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 25,253
       • 数据大小: 101,753,037 字节
       • 下载大小: 38,660,919 字节

4. ko_wikidata

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 127,614
       • 数据大小: 527,306,289 字节
       • 下载大小: 197,029,339 字节

5. mmlu_abstract_algebra

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 88,848
       • 数据大小: 369,008,992 字节
       • 下载大小: 135,822,870 字节

6. mmlu_all

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 97,765
       • 数据大小: 406,126,621 字节
       • 下载大小: 149,486,712 字节

7. mmlu_anatomy

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 97,463
       • 数据大小: 404,317,465 字节
       • 下载大小: 148,806,011 字节

8. mmlu_astronomy

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 97,347
       • 数据大小: 404,137,638 字节
       • 下载大小: 148,705,490 字节

9. mmlu_business_ethics

   • 特征:
     • text (字符串类型)
   • 分割:
     • train
       • 示例数量: 97,327
       • 数据大小: 404,250,245 字节
       • 下载大小: 148,763,276 字节

10. mmlu_clinical_knowledge

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,226
        • 数据大小: 403,659,005 字节
        • 下载大小: 148,688,069 字节

11. mmlu_college_biology

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,285
        • 数据大小: 404,028,634 字节
        • 下载大小: 148,722,802 字节

12. mmlu_college_chemistry

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,435
        • 数据大小: 404,667,385 字节
        • 下载大小: 148,855,223 字节

13. mmlu_college_computer_science

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 92,606
        • 数据大小: 385,176,880 字节
        • 下载大小: 141,868,873 字节

14. mmlu_college_mathematics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 94,070
        • 数据大小: 390,603,751 字节
        • 下载大小: 143,833,823 字节

15. mmlu_college_medicine

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 95,156
        • 数据大小: 395,144,479 字节
        • 下载大小: 145,271,248 字节

16. mmlu_college_physics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,452
        • 数据大小: 404,906,114 字节
        • 下载大小: 148,870,088 字节

17. mmlu_computer_security

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,212
        • 数据大小: 403,699,674 字节
        • 下载大小: 148,755,211 字节

18. mmlu_conceptual_physics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 88,216
        • 数据大小: 366,231,421 字节
        • 下载大小: 134,989,933 字节

19. mmlu_econometrics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 91,854
        • 数据大小: 380,851,762 字节
        • 下载大小: 140,295,665 字节

20. mmlu_electrical_engineering

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 87,826
        • 数据大小: 364,564,129 字节
        • 下载大小: 134,376,902 字节

21. mmlu_elementary_mathematics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 89,307
        • 数据大小: 371,101,672 字节
        • 下载大小: 136,622,044 字节

22. mmlu_formal_logic

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 95,483
        • 数据大小: 395,937,096 字节
        • 下载大小: 145,736,493 字节

23. mmlu_global_facts

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 94,984
        • 数据大小: 394,596,084 字节
        • 下载大小: 145,284,966 字节

24. mmlu_high_school_biology

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,117
        • 数据大小: 402,382,699 字节
        • 下载大小: 148,038,235 字节

25. mmlu_high_school_chemistry

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 96,907
        • 数据大小: 402,886,667 字节
        • 下载大小: 148,323,317 字节

26. mmlu_high_school_computer_science

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,351
        • 数据大小: 403,966,380 字节
        • 下载大小: 148,666,121 字节

27. mmlu_high_school_european_history

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,222
        • 数据大小: 403,671,884 字节
        • 下载大小: 148,454,177 字节

28. mmlu_high_school_geography

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,261
        • 数据大小: 404,040,602 字节
        • 下载大小: 148,657,890 字节

29. mmlu_high_school_government_and_politics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,311
        • 数据大小: 403,990,139 字节
        • 下载大小: 148,568,388 字节

30. mmlu_high_school_macroeconomics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,400
        • 数据大小: 404,170,166 字节
        • 下载大小: 148,591,243 字节

31. mmlu_high_school_mathematics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,396
        • 数据大小: 404,846,407 字节
        • 下载大小: 149,076,619 字节

32. mmlu_high_school_microeconomics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 97,435
        • 数据大小: 404,613,760 字节
        • 下载大小: 148,970,422 字节

33. mmlu_high_school_physics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 95,740
        • 数据大小: 397,678,253 字节
        • 下载大小: 146,340,167 字节

34. mmlu_high_school_psychology

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 80,626
        • 数据大小: 334,767,526 字节
        • 下载大小: 123,054,403 字节

35. mmlu_high_school_statistics

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 76,033
        • 数据大小: 315,209,112 字节
        • 下载大小: 115,876,698 字节

36. mmlu_high_school_us_history

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 79,322
        • 数据大小: 329,179,309 字节
        • 下载大小: 120,972,668 字节

37. mmlu_high_school_world_history

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 85,990
        • 数据大小: 357,910,528 字节
        • 下载大小: 131,809,165 字节

38. mmlu_human_aging

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 78,341
        • 数据大小: 325,427,761 字节
        • 下载大小: 119,430,234 字节

39. mmlu_human_sexuality

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 79,327
        • 数据大小: 328,912,659 字节
        • 下载大小: 121,032,722 字节

40. mmlu_international_law

    • 特征:
      • text (字符串类型)
    • 分割:
      • train
        • 示例数量: 78,989
        • 数据大小: 327,874,597 字节
        • 下载大小: 120,785,769 字节

41. normal_instructions