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---
dataset_info:
- config_name: art
  features:
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    dtype: string
  - name: input
    dtype: string
  - name: output
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  splits:
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    num_examples: 15627
  download_size: 12801716
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- config_name: c_event
  features:
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    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: tpye
    dtype: string
  splits:
  - name: train
    num_bytes: 70105743
    num_examples: 31166
  download_size: 21295859
  dataset_size: 70105743
- config_name: culture
  features:
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    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: tpye
    dtype: string
  splits:
  - name: train
    num_bytes: 35908844
    num_examples: 23700
  download_size: 11289413
  dataset_size: 35908844
- config_name: editorial
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 204950743
    num_examples: 63768
  download_size: 117562937
  dataset_size: 204950743
- config_name: enter
  features:
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    dtype: string
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  splits:
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    num_examples: 36092
  download_size: 24622632
  dataset_size: 77007245
- config_name: etc
  features:
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    dtype: string
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    dtype: string
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    dtype: string
  splits:
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    num_examples: 7597
  download_size: 6696866
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- config_name: fm_drama
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- config_name: fs_drama
  features:
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  splits:
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- config_name: history
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- config_name: law
  features:
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- config_name: newspaper
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- config_name: paper
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- config_name: patent
  features:
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  - name: train
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- config_name: patent_section
  features:
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  splits:
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- config_name: social_science
  features:
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  - name: output
    dtype: string
  splits:
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- config_name: technology_science
  features:
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  - name: output
    dtype: string
  splits:
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configs:
- config_name: art
  data_files:
  - split: train
    path: art/train-*
- config_name: c_event
  data_files:
  - split: train
    path: c_event/train-*
- config_name: culture
  data_files:
  - split: train
    path: culture/train-*
- config_name: editorial
  data_files:
  - split: train
    path: editorial/train-*
- config_name: enter
  data_files:
  - split: train
    path: enter/train-*
- config_name: etc
  data_files:
  - split: train
    path: etc/train-*
- config_name: fm_drama
  data_files:
  - split: train
    path: fm_drama/train-*
- config_name: fs_drama
  data_files:
  - split: train
    path: fs_drama/train-*
- config_name: history
  data_files:
  - split: train
    path: history/train-*
- config_name: law
  data_files:
  - split: train
    path: law/train-*
- config_name: newspaper
  data_files:
  - split: train
    path: newspaper/train-*
- config_name: paper
  data_files:
  - split: train
    path: paper/train-*
- config_name: patent
  data_files:
  - split: train
    path: patent/train-*
- config_name: patent_section
  data_files:
  - split: train
    path: patent_section/train-*
- config_name: social_science
  data_files:
  - split: train
    path: social_science/train-*
- config_name: technology_science
  data_files:
  - split: train
    path: technology_science/train-*
---

## [문서요약 텍스트](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=data&dataSetSn=97)

- subset: law

  - length: 27.3k

- subset: newspaper

  - length: 274k

- subset: editorial

  - length: 63.8k

## [도서자료 요약](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=data&dataSetSn=93)

* subset: art

  - length: 15.6k

* subset: technology_science

  - length: 26.9k

* subset: social_science

  - length: 130k

* subset: etc

  - length: 7.6k

## [논문자료 요약](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=data&dataSetSn=90)

* subset: paper

  - length: 324k

* subset: patent

  - length: 313k

* subset: patent_section

  - length: 151k