modulate/entity-transcription-benchmark
Entity Transcription Benchmark Measures whether a speech recognition system transcribes named entities correctly — as distinct from word error rate. WER weights every token equally. The tokens that matter for redaction, lookup, routing and search are proper nouns, and they are a small fraction of any transcript. A system can improve WER while getting worse at exactly the words a downstream consumer needs, and nothing in the standard evaluation will show it. 2,151 clips, 6.0… See the full description on the dataset page: https://huggingface.co/datasets/modulate/entity-transcription-benchmark.
| Author / organization | modulate |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 289 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 2 September 2026 |
| Last updated at source | 11 September 2026 |
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