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KETI-AIR/kor_commonsense_qa

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Hugging Face2023-12-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/KETI-AIR/kor_commonsense_qa
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资源简介:
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: data_index_by_user dtype: int32 - name: id dtype: string - name: question dtype: string - name: question_concept dtype: string - name: choices struct: - name: text sequence: string - name: label sequence: string - name: answerKey dtype: string splits: - name: train num_bytes: 2642161 num_examples: 9741 - name: validation num_bytes: 327694 num_examples: 1221 - name: test num_bytes: 309213 num_examples: 1140 download_size: 1782280 dataset_size: 3279068 license: mit --- # Dataset Card for "kor_commonsense_qa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) # Source Data Citation Information ``` @inproceedings{talmor-etal-2019-commonsenseqa, title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge", author = "Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan", booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", month = jun, year = "2019", address = "Minneapolis, Minnesota", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N19-1421", doi = "10.18653/v1/N19-1421", pages = "4149--4158", archivePrefix = "arXiv", eprint = "1811.00937", primaryClass = "cs", } ```
提供机构:
KETI-AIR
原始信息汇总

数据集概述

数据集名称

  • kor_commonsense_qa

数据集配置

  • 默认配置(default)
    • 训练集(train):路径为 data/train-*
    • 验证集(validation):路径为 data/validation-*
    • 测试集(test):路径为 data/test-*

数据集特征

  • data_index_by_user:类型为 int32
  • id:类型为 string
  • question:类型为 string
  • question_concept:类型为 string
  • choices:结构包含
    • text:序列类型为 string
    • label:序列类型为 string
  • answerKey:类型为 string

数据集分割

  • 训练集(train)
    • 字节数:2642161
    • 样本数:9741
  • 验证集(validation)
    • 字节数:327694
    • 样本数:1221
  • 测试集(test)
    • 字节数:309213
    • 样本数:1140

数据集大小

  • 下载大小:1782280 字节
  • 数据集大小:3279068 字节

许可证

  • MIT 许可证

数据来源引用

@inproceedings{talmor-etal-2019-commonsenseqa, title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge", author = "Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan", booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", month = jun, year = "2019", address = "Minneapolis, Minnesota", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N19-1421", doi = "10.18653/v1/N19-1421", pages = "4149--4158", archivePrefix = "arXiv", eprint = "1811.00937", primaryClass = "cs", }

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