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About MIND
MIcrosoft News Dataset (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)
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. Before you download the dataset, please read these terms and click below button to confirm that you agree to them.