empathetic_dialogues
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# 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.
# “共情对话(empathetic_dialogues)”数据集卡片
## 目录
- [数据集描述](#dataset-description)
- [数据集概述](#dataset-summary)
- [支持任务与评测基准](#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)
- [数据集构建依据](#curation-rationale)
- [源数据](#source-data)
- [标注信息](#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)
- [偏见分析](#discussion-of-biases)
- [其他已知局限性](#other-known-limitations)
- [附加信息](#additional-information)
- [数据集维护者](#dataset-curators)
- [许可信息](#licensing-information)
- [引用信息](#citation-information)
- [贡献致谢](#contributions)
## 数据集描述
- **主页:** [https://github.com/facebookresearch/EmpatheticDialogues](https://github.com/facebookresearch/EmpatheticDialogues)
- **代码仓库:** https://github.com/facebookresearch/EmpatheticDialogues
- **相关论文:** [《面向共情式开放域对话模型:全新基准与数据集》](https://arxiv.org/abs/1811.00207)
- **联络方式:** [需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **下载数据集文件大小:** 28.02 MB
- **生成数据集大小:** 25.13 MB
- **总磁盘占用空间:** 53.15 MB
### 数据集概述
本数据集为论文《面向共情式开放域对话模型:全新基准与数据集》的PyTorch原生实现。
### 支持任务与评测基准
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 语言
[需补充更多信息](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
- **下载数据集文件大小:** 28.02 MB
- **生成数据集大小:** 25.13 MB
- **总磁盘占用空间:** 53.15 MB
训练集的一条示例数据如下所示。
json
{
"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
所有数据划分下的数据字段均保持一致。
#### 默认格式
- `对话ID(conv_id)`:字符串类型
- `语句索引(utterance_idx)`:32位整数类型
- `上下文语境(context)`:字符串类型
- `提示文本(prompt)`:字符串类型
- `说话者索引(speaker_idx)`:32位整数类型
- `会话语句(utterance)`:字符串类型
- `自我评估(selfeval)`:字符串类型
- `标签(tags)`:字符串类型
### 数据划分
| 划分名称 | 训练集 | 验证集 | 测试集 |
|---------|---------:|-------:|-------:|
| default | 76673 | 12030 | 10943 |
## 数据集构建
### 数据集构建依据
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 源数据
#### 初始数据收集与规范化
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### 源数据生产者
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 标注信息
#### 标注流程
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### 标注人员
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 个人与敏感信息
[需补充更多信息](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
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 偏见分析
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 其他已知局限性
[需补充更多信息](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## 附加信息
### 数据集维护者
[需补充更多信息](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(Creative Commons Attribution-NonCommercial 4.0 International)。
### 引用信息
bibtex
@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",
}
### 贡献致谢
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。
提供机构:
maas
创建时间:
2025-05-20



