Datasets:
Sub-tasks:
dialogue-generation
Languages:
Chinese
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
Tags:
License:
annotations_creators: | |
- no-annotation | |
language_creators: | |
- found | |
language: | |
- zh | |
license: | |
- other | |
multilinguality: | |
- monolingual | |
paperswithcode_id: mmchat-multi-modal-chat-dataset-on-social | |
pretty_name: "MMChat: Multi-Modal Chat Dataset on Social Media" | |
size_categories: | |
- 10M<n<100M | |
source_datasets: | |
- original | |
task_categories: | |
- conversational | |
task_ids: | |
- dialogue-generation | |
# Dataset Card for MMChat | |
## Table of Contents | |
- [Dataset Card for MMChat](#dataset-card-for-mmchat) | |
- [Table of Contents](#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) | |
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
- [Who are the source language producers?](#who-are-the-source-language-producers) | |
- [Annotations](#annotations) | |
- [Annotation process](#annotation-process) | |
- [Who are the annotators?](#who-are-the-annotators) | |
- [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://www.zhengyinhe.com/datasets/ | |
- **Repository:** https://github.com/silverriver/MMChat | |
- **Paper:** https://arxiv.org/abs/2108.07154 | |
### Dataset Summary | |
MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese. Each dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue). We design various strategies to ensure the quality of the dialogues in MMChat. | |
MMChat comes with 4 different versions: | |
- `mmchat`: The MMChat dataset used in our paper. | |
- `mmchat_hf`: Contains human annotation on 100K sessions of dialogues. | |
- `mmchat_raw`: Raw dialogues used to construct MMChat. | |
`mmchat_lccc_filtered`: Raw dialogues filtered using the LCCC dataset. | |
If you what to use high quality multi-modal dialogues that are closed related to the given images, I suggest you to use the `mmchat_hf` version. | |
If you only care about the quality of dialogue texts, I suggest you to use the `mmchat_lccc_filtered` version. | |
### Supported Tasks and Leaderboards | |
- dialogue-generation: The dataset can be used to train a model for generating dialogue responses. | |
- response-retrieval: The dataset can be used to train a reranker model that can be used to implement a retrieval-based dialogue model. | |
### Languages | |
MMChat is in Chinese | |
MMChat中的对话是中文的 | |
## Dataset Structure | |
### Data Instances | |
Several versions of MMChat are available. For `mmchat`, `mmchat_raw`, `mmchat_lccc_filtered`, the following instance applies: | |
```json | |
{ | |
"dialog": ["你只拍出了你十分之一的美", "你的头像竟然换了,奥"], | |
"weibo_content": "分享图片", | |
"imgs": ["https://wx4.sinaimg.cn/mw2048/d716a6e2ly1fmug2w2l9qj21o02yox6p.jpg"] | |
} | |
``` | |
For `mmchat_hf`, the following instance applies: | |
```json | |
{ | |
"dialog": ["白百合", "啊?", "有点像", "还好吧哈哈哈牙像", "有男盆友没呢", "还没", "和你说话呢。没回我"], | |
"weibo_content": "补一张昨天礼仪的照片", | |
"imgs": ["https://ww2.sinaimg.cn/mw2048/005Co9wdjw1eyoz7ib9n5j307w0bu3z5.jpg"], | |
"labels": { | |
"image_qualified": true, | |
"dialog_qualified": true, | |
"dialog_image_related": true | |
} | |
} | |
``` | |
### Data Fields | |
- `dialog` (list of strings): List of utterances consisting of a dialogue. | |
- `weibo_content` (string): Weibo content of the dialogue. | |
- `imgs` (list of strings): List of URLs of images. | |
- `labels` (dict): Human-annotated labels of the dialogue. | |
- `image_qualified` (bool): Whether the image is of high quality. | |
- `dialog_qualified` (bool): Whether the dialogue is of high quality. | |
- `dialog_image_related` (bool): Whether the dialogue is related to the image. | |
### Data Splits | |
For `mmchat`, we provide the following splits: | |
|train|valid|test| | |
|---:|---:|---:| | |
|115,842 | 4,000 | 1,000 | | |
For other versions, we do not provide the offical split. | |
More stastics are listed here: | |
| `mmchat` | Count | | |
|--------------------------------------|--------:| | |
| Sessions | 120.84 K | | |
| Sessions with more than 4 utterances | 17.32 K | | |
| Utterances | 314.13 K | | |
| Images | 198.82 K | | |
| Avg. utterance per session | 2.599 | | |
| Avg. image per session | 2.791 | | |
| Avg. character per utterance | 8.521 | | |
| `mmchat_hf` | Count | | |
|--------------------------------------|--------:| | |
| Sessions | 19.90 K | | |
| Sessions with more than 4 utterances | 8.91 K | | |
| Totally annotated sessions | 100.01 K | | |
| Utterances | 81.06 K | | |
| Images | 52.66K | | |
| Avg. utterance per session | 4.07 | | |
| Avg. image per session | 2.70 | | |
| Avg. character per utterance | 11.93 | | |
| `mmchat_raw` | Count | | |
|--------------------------------------|---------:| | |
| Sessions | 4.257 M | | |
| Sessions with more than 4 utterances | 2.304 M | | |
| Utterances | 18.590 M | | |
| Images | 4.874 M | | |
| Avg. utterance per session | 4.367 | | |
| Avg. image per session | 1.670 | | |
| Avg. character per utterance | 14.104 | | |
| `mmchat_lccc_filtered` | Count | | |
|--------------------------------------|--------:| | |
| Sessions | 492.6 K | | |
| Sessions with more than 4 utterances | 208.8 K | | |
| Utterances | 1.986 M | | |
| Images | 1.066 M | | |
| Avg. utterance per session | 4.031 | | |
| Avg. image per session | 2.514 | | |
| Avg. character per utterance | 11.336 | | |
## Dataset Creation | |
### Curation Rationale | |
[Needs More Information] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[Needs More Information] | |
#### Who are the source language producers? | |
[Needs More Information] | |
### Annotations | |
#### Annotation process | |
[Needs More Information] | |
#### Who are the annotators? | |
[Needs More Information] | |
### Personal and Sensitive Information | |
[Needs More Information] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[Needs More Information] | |
### Discussion of Biases | |
[Needs More Information] | |
### Other Known Limitations | |
[Needs More Information] | |
## Additional Information | |
### Dataset Curators | |
[Needs More Information] | |
### Licensing Information | |
other-weibo | |
This dataset is collected from Weibo. | |
You can refer to the [detailed policy](https://weibo.com/signup/v5/privacy) required to use this dataset. | |
Please restrict the usage of this dataset to non-commerical purposes. | |
### Citation Information | |
``` | |
@inproceedings{zheng2022MMChat, | |
author = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian}, | |
title = {MMChat: Multi-Modal Chat Dataset on Social Media}, | |
booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference}, | |
year = {2022}, | |
publisher = {European Language Resources Association}, | |
} | |
@inproceedings{wang2020chinese, | |
title={A Large-Scale Chinese Short-Text Conversation Dataset}, | |
author={Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie}, | |
booktitle={NLPCC}, | |
year={2020}, | |
url={https://arxiv.org/abs/2008.03946} | |
} | |
``` | |
### Contributions | |
Thanks to [Yinhe Zheng](https://github.com/silverriver) for adding this dataset. | |