| | --- |
| | annotations_creators: |
| | - crowdsourced |
| | language_creators: |
| | - crowdsourced |
| | language: |
| | - ar |
| | license: |
| | - cc-by-nc-4.0 |
| | multilinguality: [] |
| | pretty_name: 'MASC' |
| | size_categories: |
| | source_datasets: [] |
| | task_categories: [] |
| | task_ids: [] |
| | --- |
| | |
| | # Dataset Card for MASC: MASSIVE ARABIC SPEECH CORPUS |
| |
|
| | ## Table of Contents |
| | - [Table of Contents](#table-of-contents) |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [Dataset Creation](#dataset-creation) |
| | - [Curation Rationale](#curation-rationale) |
| | - [Source Data](#source-data) |
| | - [Annotations](#annotations) |
| | - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| | - [Considerations for Using the Data](#considerations-for-using-the-data) |
| | - [Social Impact of Dataset](#social-impact-of-dataset) |
| | - [Discussion of Biases](#discussion-of-biases) |
| | - [Other Known Limitations](#other-known-limitations) |
| | - [Additional Information](#additional-information) |
| | - [Dataset Curators](#dataset-curators) |
| | - [Licensing Information](#licensing-information) |
| | - [Citation Information](#citation-information) |
| | - [Contributions](#contributions) |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** https://ieee-dataport.org/open-access/masc-massive-arabic-speech-corpus |
| | - **Repository:** |
| | - **Paper:** https://dx.doi.org/10.21227/e1qb-jv46 |
| | - **Leaderboard:** |
| | - **Point of Contact:** |
| |
|
| | ### 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 |
| |
|
| | [More Information Needed] |
| |
|
| | ### Languages |
| |
|
| | Multi-dialect Arabic |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | [More Information Needed] |
| |
|
| | ### Data Fields |
| | #### masc_dev |
| | - speech |
| | - sampling_rate |
| | - target_text (label) |
| | |
| | ### Data Splits |
| | |
| | #### masc_dev |
| | - train: 100 |
| | - test: 40 |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | [More Information Needed] |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the source language producers? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the annotators? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Personal and Sensitive Information |
| |
|
| | [More Information Needed] |
| |
|
| | ## Considerations for Using the Data |
| |
|
| | ### Social Impact of Dataset |
| |
|
| | [More Information Needed] |
| |
|
| | ### Discussion of Biases |
| |
|
| | [More Information Needed] |
| |
|
| | ### Other Known Limitations |
| |
|
| | [More Information Needed] |
| |
|
| | ## Additional Information |
| | Note: this is a small development set for testing. |
| |
|
| | ### Dataset Curators |
| |
|
| | [More Information Needed] |
| |
|
| | ### Licensing Information |
| |
|
| | CC 4.0 |
| |
|
| | ### Citation Information |
| |
|
| | [More Information Needed] |
| |
|
| | ### 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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| |
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