MohamedRashad/MASC-Arabic
MASC Arabic Dataset Card Dataset Summary MASC is a dataset that contains 1,000 hours of speech sampled at 16 kHz and crawled from over 700 YouTube channels. The dataset is multi-regional, multi-genre, and multi-dialect intended to advance the research and development of Arabic speech technology with a special emphasis on Arabic speech recognition. How to use The datasets library allows you to load and pre-process your dataset in pure Python, at… See the full description on the dataset page: https://huggingface.co/datasets/MohamedRashad/MASC-Arabic.
| Author / organization | MohamedRashad |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 2.9K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 27 December 2025 |
| Last updated at source | 6 April 2026 |
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2,862 now (-26 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/lemura-arabic-asr-qwen3-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: MASC Arabic Dataset Card Dataset Summary MASC is a dataset that contains 1,000 hours of speech sampled at 16 kHz and crawled from over 700 YouTube channels. The dataset is multi-regional, multi-genre, and multi-dialect intended to advance t → MASC Arabic Dataset Card Dataset Summary MASC is a dataset that contains 1,000 hours of speech sampled at 16 kHz and crawled from over 700 YouTube channels. The dataset is multi-regional, multi-genre, and multi-dialect intended to advance t
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