Datasets › CMeEE
CMeEE (Chinese Medical Named Entity Recognition Dataset)
Chinese Medical Named Entity Recognition, a dataset first released in CHIP20204, is used for CMeEE task. Given a pre-defined schema, the task is to identify and extract entities from the given sentence and classify them into nine categories: disease, clinical manifestations, drugs, medical equipment, medical procedures, body, medical examinations, microorganisms, and department.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Named Entity Recognition (NER) | CMeEE | BERT-CRF (Replicated in AdaSeq) F1 68.97 | Improving Named Entity Recognition by External Context... | modelscope/adaseq +2 | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 10. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark | 2 | 1 | 15 Jun 2021 | ran 4 of 16 samples (12 unverified) |
| Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning | 3 | 1 | 8 May 2021 | ran 0 of 4 samples (4 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CMeEE
1 variant name, as the archive lists them.
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