llama_ko_smr / README.md
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metadata
dataset_info:
  - config_name: art
    features:
      - name: instruction
        dtype: string
      - name: input
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  - config_name: artifact_science
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  - config_name: beauty_and_health
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  - config_name: briefing
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  - config_name: c_event
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  - config_name: culture
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  - config_name: daily_and_occupation
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  - config_name: edit
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  - config_name: editorial
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  - config_name: education
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  - config_name: enter
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  - config_name: etc
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  - config_name: event
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  - config_name: fm_drama
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  - config_name: food_and_drink
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  - config_name: fs_drama
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  - config_name: his_cul
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  - config_name: history
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  - config_name: housing_and_living
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  - config_name: law
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  - config_name: leisure
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  - config_name: life_science
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  - config_name: literature
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  - config_name: minute
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  - config_name: narration
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  - config_name: news_r
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  - config_name: newspaper
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  - config_name: paper
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  - config_name: paper2
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  - config_name: patent
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  - config_name: patent_section
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  - config_name: public
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    splits:
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  - config_name: relationships
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    splits:
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  - config_name: shopping
    features:
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    splits:
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  - config_name: social_science
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    splits:
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  - config_name: speech
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    splits:
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  - config_name: technology_science
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    splits:
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configs:
  - config_name: art
    data_files:
      - split: train
        path: art/train-*
  - config_name: artifact_science
    data_files:
      - split: train
        path: artifact_science/train-*
  - config_name: beauty_and_health
    data_files:
      - split: train
        path: beauty_and_health/train-*
  - config_name: briefing
    data_files:
      - split: train
        path: briefing/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: daily_and_occupation
    data_files:
      - split: train
        path: daily_and_occupation/train-*
  - config_name: edit
    data_files:
      - split: train
        path: edit/train-*
  - config_name: editorial
    data_files:
      - split: train
        path: editorial/train-*
  - config_name: education
    data_files:
      - split: train
        path: education/train-*
  - config_name: enter
    data_files:
      - split: train
        path: enter/train-*
  - config_name: etc
    data_files:
      - split: train
        path: etc/train-*
  - config_name: event
    data_files:
      - split: train
        path: event/train-*
  - config_name: fm_drama
    data_files:
      - split: train
        path: fm_drama/train-*
  - config_name: food_and_drink
    data_files:
      - split: train
        path: food_and_drink/train-*
  - config_name: fs_drama
    data_files:
      - split: train
        path: fs_drama/train-*
  - config_name: his_cul
    data_files:
      - split: train
        path: his_cul/train-*
  - config_name: history
    data_files:
      - split: train
        path: history/train-*
  - config_name: housing_and_living
    data_files:
      - split: train
        path: housing_and_living/train-*
  - config_name: law
    data_files:
      - split: train
        path: law/train-*
  - config_name: leisure
    data_files:
      - split: train
        path: leisure/train-*
  - config_name: life_science
    data_files:
      - split: train
        path: life_science/train-*
  - config_name: literature
    data_files:
      - split: train
        path: literature/train-*
  - config_name: minute
    data_files:
      - split: train
        path: minute/train-*
  - config_name: narration
    data_files:
      - split: train
        path: narration/train-*
  - config_name: news_r
    data_files:
      - split: train
        path: news_r/train-*
  - config_name: newspaper
    data_files:
      - split: train
        path: newspaper/train-*
  - config_name: paper
    data_files:
      - split: train
        path: paper/train-*
  - config_name: paper2
    data_files:
      - split: train
        path: paper2/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: public
    data_files:
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        path: public/train-*
  - config_name: relationships
    data_files:
      - split: train
        path: relationships/train-*
  - config_name: shopping
    data_files:
      - split: train
        path: shopping/train-*
  - config_name: social_science
    data_files:
      - split: train
        path: social_science/train-*
  - config_name: speech
    data_files:
      - split: train
        path: speech/train-*
  - config_name: technology_science
    data_files:
      - split: train
        path: technology_science/train-*

문서요약 텍스트

  • subset: law

    • length: 27.3k
  • subset: newspaper

    • length: 274k
  • subset: editorial

    • length: 63.8k

도서자료 요약

  • subset: art

    • length: 15.6k
  • subset: technology_science

    • length: 26.9k
  • subset: social_science

    • length: 130k
  • subset: etc

    • length: 7.6k

논문자료 요약

  • subset: paper

    • length: 324k
  • subset: patent

    • length: 313k
  • subset: patent_section

    • length: 151k

방송 콘텐츠 대본 요약 데이터

  • subset: fm_drama

    • length: 36k
  • subset: fs_drama

    • length: 36k
  • subset: history

    • length: 25.8k
  • subset: culture

    • length: 23.7k
  • subset: enter

    • length: 36k
  • subset: c_event

    • length: 31.1k

요약문 및 레포트 생성 데이터

  • subset: news_r

    • length: 48.6k
  • subset: briefing

    • length: 36k
  • subset: his_cul

    • length: 18k
  • subset: paper2

    • length: 18k
  • subset: minute

    • length: 61.2k
  • subset: edit

    • length: 18k
  • subset: public

    • length: 18k
  • subset: speech

    • length: 72k
  • subset: literature

    • length: 21.6k
  • subset: narration

    • length: 18.7k

한국어 대화 요약

  • subset: relationships

    • length: 80k
  • subset: beauty_and_health

    • length: 19.2k
  • subset: shopping

    • length: 29.5k
  • subset: education

    • length: 14.7k
  • subset: food_and_drink

    • length: 33.9k
  • subset: leisure

    • length: 39.6k
  • subset: daily_and_occupation

    • length: 22.9k
  • subset: housing_and_living

    • length: 50.8k
  • subset: event

    • length: 24k