oddadmix/lahgtna-v3-small
Lahgtna — Dialect-Balanced Arabic ASR (v3 small) A dialect-balanced multi-dialect Arabic speech-recognition corpus: 54,600 clips / 267.3 hours across 13 Arabic dialects, 16 kHz mono. Each dialect is evenly represented — 4,000 train + 200 test clips per dialect — so models and evaluations aren't skewed toward high-resource dialects (e.g. Egyptian/Gulf). Used to train the oddadmix v2 dialectal-ASR model family. Duration by dialect Dialect Train (h) Train clips… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/lahgtna-v3-small.
| Author / organization | oddadmix |
|---|---|
| Downloads | 669 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 8 July 2026 |
| Last updated at source | 17 July 2026 |
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669 now (-49 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- oddadmix/nemotron-3.5-asr-arabic-dialectal-v2Model · used to train
- oddadmix/whisper-large-v3-turbo-arabic-dialectal-v2Model · used to train
- oddadmix/whisper-large-v3-arabic-dialectal-v2Model · used to train
- oddadmix/whisper-small-arabic-dialectal-v2Model · used to train
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