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Benchmarks

45 benchmarks in 8 domains

Clinical

1 benchmark · zero-shot · 1 models
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Benchmarks: 1 of 1

Mean rank and coverage are recomputed over the benchmarks ticked here. None ticked means all.

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1 models

 Ranked from 1 of 1 benchmarks (a third, at least 2)
# Model ↕ Mean rank ▼ Coverage ↕ Clinical entity recognition (MACCROBAT) ↑ Entity F1, 3 types (native NER head) ↕
Low coverage: below 1 of 1, or nothing to compare with. Listed, not ranked.
— bio-nlp/bert-base-uncased-clinical-ner — 1/1 0.317 (1)

Each cell is the model's value on that benchmark's board, with its rank there in brackets, as the benchmark's own leaderboard ranks it (its primary zero-shot metric, at its default version); hover for the 95% interval, n and source, click to open that board. A * marks a declared train/test overlap. Rows are ordered by mean normalised rank, (rank − 1) / (board size − 1) averaged over the benchmarks the model has a result on (a board of one entry does not count): ranks, never values, so no average mixes units. Filtering hides rows without re-ranking anyone.