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ChemDisGene

ChemDisGene is a new dataset for training and evaluating multi-type multi-label biomedical relation extraction models. It contains a large automatically derived corpus with noisy relationship labels and a cleaner manually curated dataset of 523 abstracts.

Data and Resources

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Cite this as

Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu (2024). Dataset: ChemDisGene. https://doi.org/10.57702/th3y0and

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2204.06584
Author	Ye Wang
More Authors	Huazheng Pan Tao Zhang Wen Wu Wenxin Hu
Homepage	https://github.com/www-Ye/P3M