Datasets › BLUE

BLUE (Biomedical Language Understanding Evaluation)

Introduced by Yifan Peng et al. in Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets archive 2025-07-28

The BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora. These tasks cover a diverse range of text genres (biomedical literature and clinical notes), dataset sizes, and degrees of difficulty and, more importantly, highlight common biomedicine text-mining challenges.

Source: Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 133 papers for it but never published that list.

Dataset loaders archive 2025-07-28

ncbi-nlp/BLUE_Benchmark

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Named Entity Recognition (NER)Relation Extraction Language Modelling

License archive 2025-07-28

Public domain

Modalities archive 2025-07-28

Texts Biomedical

Languages archive 2025-07-28

English

Variants archive 2025-07-28

BLUE

1 variant name, as the archive lists them.

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