数据集卡片："共情对话"

数据集概述

这是Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset的PyTorch原始实现。

支持的任务和排行榜

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语言

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数据集结构

数据实例

• 下载的数据集文件大小：28.02 MB
• 生成的数据集大小：25.13 MB
• 使用的总磁盘空间：53.15 MB

'train'的一个示例如下。

{
    "context": "sentimental",
    "conv_id": "hit:0_conv:1",
    "prompt": "I remember going to the fireworks with my best friend. There was a lot of people_comma_ but it only felt like us in the world.",
    "selfeval": "5|5|5_2|2|5",
    "speaker_idx": 1,
    "tags": "",
    "utterance": "I remember going to see the fireworks with my best friend. It was the first time we ever spent time alone together. Although there was a lot of people_comma_ we felt like the only people in the world.",
    "utterance_idx": 1
}

数据字段

所有拆分的数据字段相同。

• conv_id：一个字符串特征。
• utterance_idx：一个int32特征。
• context：一个字符串特征。
• prompt：一个字符串特征。
• speaker_idx：一个int32特征。
• utterance：一个字符串特征。
• selfeval：一个字符串特征。
• tags：一个字符串特征。

数据拆分

数据集创建

策划理由

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源数据

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注释

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个人和敏感信息

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使用数据的注意事项

数据集的社会影响

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偏见讨论

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其他已知限制

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其他信息

数据集策划者

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许可信息

创作共用 Attribution-NonCommercial 4.0 International 。

引用信息

@inproceedings{rashkin-etal-2019-towards,
    title = "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset",
    author = "Rashkin, Hannah  and
      Smith, Eric Michael  and
      Li, Margaret  and
      Boureau, Y-Lan",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1534",
    doi = "10.18653/v1/P19-1534",
    pages = "5370--5381",
}

贡献

感谢 @thomwolf ， @patrickvonplaten ， @lewtun 添加了这个数据集。