Multi-label Datasets used in "Adapting Transformers for Multi-Label Text Classification"

<p>The three Multi-Label&nbsp;datasets used in the article &quot;Adapting Transformers for Multi-Label Text Classification&quot;.</p> <p>- AAPD Dataset&nbsp;&nbsp;(ArXiv Academic Paper Dataset) [Yang et al. 2018]¹</p> <p>- Reuters-21578 Dataset:&nbsp;https://archive.ics.uci.edu/ml/datasets/reuters-21578+text+categorization+collection</p> <p>- MFHAD (Multilabel French HAL Abstracts Dataset)</p> <p>&nbsp;</p> <p>¹Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, and Houfeng Wang. 2018.<br> SGM: Sequence Generation Model for Multi-label Classification. In Proceedings<br> of the 27th International Conference on Computational Linguistics. Association for<br> Computational Linguistics, Santa Fe, New Mexico, USA, 3915&ndash;3926.</p>