Multi-label Datasets used in "Adapting Transformers for Multi-Label Text Classification"
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/6344749
下载链接
链接失效反馈官方服务：
资源简介：
The three Multi-Label datasets used in the article "Adapting Transformers for Multi-Label Text Classification".
- AAPD Dataset (ArXiv Academic Paper Dataset) [Yang et al. 2018]1
- Reuters-21578 Dataset: https://archive.ics.uci.edu/ml/datasets/reuters-21578+text+categorization+collection
- MFHAD (Multilabel French HAL Abstracts Dataset)
1Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, and Houfeng Wang. 2018.
SGM: Sequence Generation Model for Multi-label Classification. In Proceedings
of the 27th International Conference on Computational Linguistics. Association for
Computational Linguistics, Santa Fe, New Mexico, USA, 3915–3926.
本文《适配Transformer实现多标签（Multi-Label）文本分类》一文所使用的三个多标签数据集：
- AAPD数据集（ArXiv学术论文数据集）[Yang等，2018]¹
- Reuters-21578数据集：https://archive.ics.uci.edu/ml/datasets/reuters-21578+text+categorization+collection
- MFHAD数据集（多标签法语HAL摘要数据集）
¹杨鹏程、孙旭、李威、马树明、吴伟、王厚峰. 2018. SGM：面向多标签分类的序列生成模型. 见：第27届国际计算语言学大会论文集. 美国新墨西哥州圣达菲：国际计算语言学协会，3915–3926.
创建时间：
2022-11-07
