MIND News Recommendation Challenge
Region: Global
Before you participate in the competition, please read the rules (opens in new tab) of this competition and confirm that you agree to them (you need to send your agreement in your registration email). In addition, the MIND dataset is free to download for research purposes under Microsoft Research License Terms (opens in new tab). Please read these terms and confirm that you agree to them before you download the dataset. Feel free to contact us if you have any questions or need clarification regarding the rules of this competition or the licensing of the data.
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Go to our competition page (opens in new tab) and click “Join Competition”. You will be directed to the CodaLab platform. From there, please follow the detailed steps under the “Overview” tab on the CodaLab competition page.
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Please follow the detailed steps under the “Submission Guidelines” tab on the competition page (opens in new tab). We may update details throughout the development and final test phases.
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Please find more info on our dataset website (opens in new tab). You can find a smaller dataset for trial, and you can download the evaluation script here: evaluation.py (opens in new tab)
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Yes, we encourage academic publications relating to the dataset and competition. If you do decide to publish results, please cite MIND as:
@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",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-main.331",
pages = "3597--3606",
}
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For any inquiries please see our FAQ section or send us an email.