README.md

metadata

language:
  - ko
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 10K<n<1M
source_datasets:
  - original
task_categories:
  - question-answering
  - text2text-generation
task_ids:
  - abstractive-qa
  - extractive-qa
paperswithcode_id: duorc
pretty_name: DuoRC
dataset_info:
  features:
    - name: plot_id
      dtype: string
    - name: plot
      dtype: string
    - name: title
      dtype: string
    - name: question_id
      dtype: string
    - name: question
      dtype: string
    - name: answers
      sequence: string
    - name: data_index_by_user
      dtype: int32
    - name: no_answer
      dtype: bool
  splits:
    - name: ParaphraseRC_train
      num_bytes: 602587402
      num_examples: 69524
    - name: ParaphraseRC_validation
      num_bytes: 128698408
      num_examples: 15591
    - name: ParaphraseRC_test
      num_bytes: 140358453
      num_examples: 15857
    - name: SelfRC_train
      num_bytes: 288548501
      num_examples: 60721
    - name: SelfRC_validation
      num_bytes: 62171721
      num_examples: 12961
    - name: SelfRC_test
      num_bytes: 59196683
      num_examples: 12559
  download_size: 67341464
  dataset_size: 1281561168

Dataset Card for duorc

Licensing Information

MIT License

Source Data Citation Information

@inproceedings{DuoRC,
author = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},
title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},
booktitle = {Meeting of the Association for Computational Linguistics (ACL)},
year = {2018}
}

Citation Information

@inproceedings{KITD,
  title={언어 번역 모델을 통한 한국어 지시 학습 데이터 세트 구축},
  author={임영서, 추현창, 김산, 장진예, 정민영, 신사임},
  booktitle={제 35회 한글 및 한국어 정보처리 학술대회},
  pages={591--595},
  year={2023}
}
@inproceedings{KITD,
  title={Korean Instruction Tuning Dataset},
  author={Yeongseo Lim, HyeonChang Chu, San Kim, Jin Yea Jang, Minyoung Jung, Saim Shin},
  booktitle={Proceedings of the 35th Annual Conference on Human and Cognitive Language Technology},
  pages={591--595},
  year={2023}
}