"quail" 数据集卡片

数据集概要

QuAIL 是一个阅读理解数据集。QuAIL 包含了来自四个领域（新闻、用户故事、小说、博客）中，长度为 300-350 个标记的多选问题共 15,000 个。QuAIL 是平衡的，并且标记了问题类型。

支持的任务和排行榜

More Information Needed

语言

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数据集结构

数据示例

• 下载的数据集文件大小： 6.41 MB
• 生成的数据集大小： 29.62 MB
• 总计使用的磁盘空间： 36.03 MB

'train' 的一个示例如下所示。

This example was too long and was cropped:

{
    "answers": ["the cousin is not friendly", "the cousin could have been pretier", "not enough information", "the cousin was too nice"],
    "context": "\"That fall came and I went back to Michigan and the school year went by and summer came and I never really thought about it. I'm...",
    "context_id": "f001",
    "correct_answer_id": 0,
    "domain": "fiction",
    "id": "f001_19",
    "metadata": {
        "author": "Joseph Devon",
        "title": "Black Eyed Susan",
        "url": "http://manybooks.net/pages/devonjother08black_eyed_susan/0.html"
    },
    "question": "After the events in the text what does the author think about the cousin?",
    "question_id": "19",
    "question_type": "Subsequent_state"
}

数据字段

数据字段在所有拆分中都相同。

• id：字符串特征。
• context_id：字符串特征。
• question_id：字符串特征。
• domain：字符串特征。
• author：字符串特征。
• title：字符串特征。
• url：字符串特征。
• context：字符串特征。
• question：字符串特征。
• question_type：字符串特征。
• answers：字符串特征列表。
• correct_answer_id：整数特征。

数据拆分

数据集创建

策划理由

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源数据

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标注

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个人和敏感信息

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数据使用注意事项

数据的社会影响

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偏见讨论

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其他已知限制

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附加信息

数据集策划者

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许可信息

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引用信息

@inproceedings{DBLP:conf/aaai/RogersKDR20,
  author    = {Anna Rogers and
               Olga Kovaleva and
               Matthew Downey and
               Anna Rumshisky},
  title     = {Getting Closer to {AI} Complete Question Answering: {A} Set of Prerequisite
               Real Tasks},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020, The Thirty-Second Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
               February 7-12, 2020},
  pages     = {8722--8731},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://aaai.org/ojs/index.php/AAAI/article/view/6398},
  timestamp = {Thu, 04 Jun 2020 13:18:48 +0200},
  biburl    = {https://dblp.org/rec/conf/aaai/RogersKDR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

贡献者

感谢 @sai-prasanna 和 @ngdodd 添加此数据集。