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Materials Science Named Entity Recognition: train/development/test sets

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Figshare2019-06-04 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Materials_Science_Named_Entity_Recognition_train_development_test_sets/8184428
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Training, development and test sets for supervised named entity recognition for materials science. The data is labelled using the IOB annotation scheme. There exist 7 entity tags: material (MAT), sample descriptor (DSC), symmetry/phase label (SPL), property (PRO), application (APL), synthesis method (SMT), and characterization method (CMT), along with the outside tag (O).The data consists of 800 hand-labelled materials science abstracts. The data has an 80-10-10 split, giving 640 abstracts in the training set, 80 in the development set, and 80 in the test set.
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2019-06-04
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