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Dataset Card for MASC: MASSIVE ARABIC SPEECH CORPUS
Dataset Summary
This corpus is a dataset that contains 1,000 hours of speech sampled at 16~kHz and crawled from over 700 YouTube channels. MASC is multi-regional, multi-genre, and multi-dialect dataset that is intended to advance the research and development of Arabic speech technology with the special emphasis on Arabic speech recognition
Supported Tasks and Leaderboards
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Languages
Multi-dialect Arabic
Dataset Structure
Data Instances
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Data Fields
masc_dev
- speech
- sampling_rate
- target_text (label)
Data Splits
masc_dev
- train: 100
- test: 40
Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Note: this is a small development set for testing.
Dataset Curators
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Licensing Information
CC 4.0
Citation Information
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Contributions
Mohammad Al-Fetyani, Muhammad Al-Barham, Gheith Abandah, Adham Alsharkawi, Maha Dawas, August 18, 2021, "MASC: Massive Arabic Speech Corpus", IEEE Dataport, doi: https://dx.doi.org/10.21227/e1qb-jv46.
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