Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Libraries:
Datasets
pandas
License:
kuci / README.md
hibikaze's picture
Update README.md
1a93d17 verified
|
raw
history blame
2.87 kB
metadata
license: cc-by-sa-4.0
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: context
      dtype: string
    - name: choice_a
      dtype: string
    - name: choice_b
      dtype: string
    - name: choice_c
      dtype: string
    - name: choice_d
      dtype: string
    - name: label
      dtype: string
    - name: agreement
      dtype: int64
    - name: core_event_pair
      dtype: string
    - name: conversations
      list:
        - name: from
          dtype: string
        - name: value
          dtype: string
  splits:
    - name: train
      num_bytes: 22395366
      num_examples: 24682
    - name: validation
      num_bytes: 2711493
      num_examples: 2968
    - name: test
      num_bytes: 2776312
      num_examples: 3047
  download_size: 11821891
  dataset_size: 27883171
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

以下のデータセットのagreement=4(偶発的な関係があることに同意したクラウドワーカーの数が最大)について、conversations(chat_templateで読み込める形式のカラム)を追加して作成しました。
https://github.com/ku-nlp/KUCI

Reference/Citation

[1] (Omura et al., 2020)

@inproceedings{omura-etal-2020-method,
  title = "{A} {M}ethod for {B}uilding a {C}ommonsense {I}nference {D}ataset based on {B}asic {E}vents",
  author = "Omura, Kazumasa and
    Kawahara, Daisuke and
    Kurohashi, Sadao",
  booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
  month = nov,
  year = "2020",
  address = "Online",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2020.emnlp-main.192/",
  doi = "10.18653/v1/2020.emnlp-main.192",
  pages = "2450--2460",
}

[2] (Omura & Kurohashi, 2022)

@inproceedings{omura-kurohashi-2022-improving,
  title = "{I}mproving {C}ommonsense {C}ontingent {R}easoning by {P}seudo-data and its {A}pplication to the {R}elated {T}asks",
  author = "Omura, Kazumasa and
    Kurohashi, Sadao",
  booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
  month = oct,
  year = "2022",
  address = "Gyeongju, Republic of Korea",
  publisher = "International Committee on Computational Linguistics",
  url = "https://aclanthology.org/2022.coling-1.68/",
  pages = "812--823",
}

[3] (Omura et al., 2023)

@article{omura-etal-2023-building,
  title = "{B}uilding a {C}ommonsense {I}nference {D}ataset based on {B}asic {E}vents and its {A}pplication",
  author = "Omura, Kazumasa and
    Kawahara, Daisuke and
    Kurohashi, Sadao",
  journal = "Journal of Natural Language Processing",
  volume = "30",
  number = "4",
  year = "2023",
  doi = "10.5715/jnlp.30.1206",
  pages = "1206-1239",
  note = "(in Japanese)",
}