Datasets:

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