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testingtest111/empathetic_dialogues

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Hugging Face2026-04-14 更新2026-04-26 收录
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--- annotations_creators: - crowdsourced language: - en language_creators: - crowdsourced license: - cc-by-nc-4.0 multilinguality: - monolingual pretty_name: EmpatheticDialogues size_categories: - 10K<n<100K source_datasets: - original task_categories: - question-answering task_ids: - dialogue-generation - open-domain-qa paperswithcode_id: empatheticdialogues dataset_info: features: - name: conv_id dtype: string - name: utterance_idx dtype: int32 - name: context dtype: string - name: prompt dtype: string - name: speaker_idx dtype: int32 - name: utterance dtype: string - name: selfeval dtype: string - name: tags dtype: string splits: - name: test num_bytes: 3011332 num_examples: 10943 - name: train num_bytes: 19040509 num_examples: 76673 - name: validation num_bytes: 3077481 num_examples: 12030 download_size: 28022709 dataset_size: 25129322 --- # Dataset Card for "empathetic_dialogues" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://github.com/facebookresearch/EmpatheticDialogues](https://github.com/facebookresearch/EmpatheticDialogues) - **Repository:** https://github.com/facebookresearch/EmpatheticDialogues - **Paper:** [Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset](https://arxiv.org/abs/1811.00207) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 28.02 MB - **Size of the generated dataset:** 25.13 MB - **Total amount of disk used:** 53.15 MB ### Dataset Summary PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - **Size of downloaded dataset files:** 28.02 MB - **Size of the generated dataset:** 25.13 MB - **Total amount of disk used:** 53.15 MB An example of 'train' looks as follows. ``` { "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 } ``` ### Data Fields The data fields are the same among all splits. #### default - `conv_id`: a `string` feature. - `utterance_idx`: a `int32` feature. - `context`: a `string` feature. - `prompt`: a `string` feature. - `speaker_idx`: a `int32` feature. - `utterance`: a `string` feature. - `selfeval`: a `string` feature. - `tags`: a `string` feature. ### Data Splits | name |train|validation|test | |-------|----:|---------:|----:| |default|76673| 12030|10943| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information Creative Commons [Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/). ### Citation Information ``` @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", } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.

annotations_creators: - 众包创建 language: - 英语 language_creators: - 众包生成 license: - 知识共享署名-非商业性使用4.0国际许可协议(CC BY-NC 4.0) multilinguality: - 单语言 pretty_name: 共情对话数据集(EmpatheticDialogues) size_categories: - 10000 < n < 100000 source_datasets: - 原创数据集 task_categories: - 问答任务 task_ids: - 对话生成 - 开放域问答 paperswithcode_id: empatheticdialogues dataset_info: features: - name: conv_id dtype: string - name: utterance_idx dtype: int32 - name: context dtype: string - name: prompt dtype: string - name: speaker_idx dtype: int32 - name: utterance dtype: string - name: selfeval dtype: string - name: tags dtype: string splits: - name: test num_bytes: 3011332 num_examples: 10943 - name: train num_bytes: 19040509 num_examples: 76673 - name: validation num_bytes: 3077481 num_examples: 12030 download_size: 28022709 dataset_size: 25129322 # 「共情对话数据集(EmpatheticDialogues)」数据集卡片 ## 目录 - [数据集概述](#dataset-description) - [数据集摘要](#dataset-summary) - [支持任务与基准榜单](#supported-tasks-and-leaderboards) - [语言](#languages) - [数据集结构](#dataset-structure) - [数据实例](#data-instances) - [数据字段](#data-fields) - [数据划分](#data-splits) - [数据集构建](#dataset-creation) - [遴选依据](#curation-rationale) - [源数据](#source-data) - [标注](#annotations) - [个人与敏感信息](#personal-and-sensitive-information) - [数据集使用注意事项](#considerations-for-using-the-data) - [数据集的社会影响](#social-impact-of-dataset) - [偏差讨论](#discussion-of-biases) - [其他已知局限](#other-known-limitations) - [附加信息](#additional-information) - [数据集策展人](#dataset-curators) - [许可信息](#licensing-information) - [引用信息](#citation-information) - [贡献者](#contributions) ## 数据集概述 - **主页:** [https://github.com/facebookresearch/EmpatheticDialogues](https://github.com/facebookresearch/EmpatheticDialogues) - **代码仓库:** https://github.com/facebookresearch/EmpatheticDialogues - **论文:** [《面向共情式开放域对话模型:一项新基准与数据集》](https://arxiv.org/abs/1811.00207) - **联络人:** [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **下载数据集大小:** 28.02 MB - **生成后数据集大小:** 25.13 MB - **总磁盘占用:** 53.15 MB ### 数据集摘要 本仓库为《面向共情式开放域对话模型:一项新基准与数据集》的PyTorch原生实现。 ### 支持任务与基准榜单 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 语言 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 数据集结构 ### 数据实例 #### 默认格式 - **下载数据集大小:** 28.02 MB - **生成后数据集大小:** 25.13 MB - **总磁盘占用:** 53.15 MB 训练集的一个示例如下: { "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 所有划分的数据字段均保持一致。 #### 默认格式 - `conv_id`:字符串类型特征 - `utterance_idx`:int32类型特征 - `context`:字符串类型特征 - `prompt`:字符串类型特征 - `speaker_idx`:int32类型特征 - `utterance`:字符串类型特征 - `selfeval`:字符串类型特征 - `tags`:字符串类型特征 ### 数据划分 | 划分名称 | 训练集 | 验证集 | 测试集 | |-------|----:|---------:|----:| | 默认 | 76673 | 12030 | 10943 | ## 数据集构建 ### 遴选依据 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 源数据 #### 初始数据收集与归一化 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### 源语言生产者是谁? [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 标注 #### 标注流程 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### 标注人员是谁? [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 个人与敏感信息 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 数据集使用注意事项 ### 数据集的社会影响 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 偏差讨论 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 其他已知局限 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 附加信息 ### 数据集策展人 [详见贡献指南获取更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 许可信息 知识共享署名-非商业性使用4.0国际许可协议(CC BY-NC 4.0),详情参见:[https://creativecommons.org/licenses/by-nc/4.0/](https://creativecommons.org/licenses/by-nc/4.0/) ### 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", } ### 贡献者 感谢[@thomwolf](https://github.com/thomwolf)、[@patrickvonplaten](https://github.com/patrickvonplaten)、[@lewtun](https://github.com/lewtun) 为本数据集的添加工作。

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