Harshkmr/omniscribe_corpus
OmniScribe Corpus A multilingual speech transcription corpus designed for fine-tuning ASR models on Indian medical and general-domain speech. It covers Hindi, Marathi, and Indian English, with a focus on clinical and healthcare contexts. Overview Split Rows (after oversampling) Approx. Duration train ~30750 ~230 hrs benchmark ~4,089 ~25 hrs Audio samples average 20–30 seconds each. All samples are at least 5 seconds… See the full description on the dataset page: https://huggingface.co/datasets/Harshkmr/omniscribe_corpus.
| Author / organization | Harshkmr |
|---|---|
| License (as declared) | other |
| Downloads | 146 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 April 2026 |
| Last updated at source | 22 April 2026 |
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