---
{}
---

# About MIND
**M**Icrosoft **N**ews **D**ataset (MIND) is a large-scale dataset for news recommendation research. It was collected from anonymized behavior logs of Microsoft News website. The mission of MIND is to serve as a benchmark dataset for news recommendation and facilitate the research in news recommendation and recommender systems area.

MIND contains about 160k English news articles and more than 15 million impression logs generated by 1 million users. Every news article contains rich textual content including title, abstract, body, category and entities. Each impression log contains the click events, non-clicked events and historical news click behaviors of this user before this impression. To protect user privacy, each user was de-linked from the production system when securely hashed into an anonymized ID. For more detailed information about the MIND dataset, you can refer to the following paper:

[MIND paper (Wu et al., ACL 2020)](https://aclanthology.org/2020.acl-main.331/)

If you are interested in using this dataset in your research work, welcome to cite this paper:

```
@inproceedings{wu-etal-2020-mind,
    title = "{MIND}: A Large-scale Dataset for News Recommendation",
    author = "Wu, Fangzhao  and
      Qiao, Ying  and
      Chen, Jiun-Hung  and
      Wu, Chuhan  and
      Qi, Tao  and
      Lian, Jianxun  and
      Liu, Danyang  and
      Xie, Xing  and
      Gao, Jianfeng  and
      Wu, Winnie  and
      Zhou, Ming",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    year = "2020",
    pages = "3597--3606",
}
```

# Download 

The MIND dataset is free to download for research purposes under [Microsoft Research License Terms](https://github.com/msnews/MIND/blob/master/MSR%20License_Data.pdf). Before you download the dataset, please read these terms and click below button to confirm that you agree to them.