| --- |
| license: cc-by-4.0 |
| language: |
| - ar |
| multilinguality: |
| - monolingual |
| pretty_name: Ara-Best-RQ Dataset |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Ara-Best-RQ Dataset |
|
|
| ## Dataset Summary |
|
|
| This dataset provides **metadata only** for a dialectal Arabic speech corpus constructed from publicly available YouTube videos. |
| It consists exclusively of **YouTube video identifiers** and **audio segment boundaries (start/end timestamps)** designed for **self-supervised speech representation learning**. |
|
|
| **No audio or video content is distributed as part of this dataset.** |
|
|
| --- |
|
|
| ## Dataset Statistics |
|
|
| - **Total spoken duration:** 5,639 h 04 min 27 s |
| - **Number of videos:** 41,826 |
| - **Number of speech segments:** 3,860,419 |
|
|
| --- |
|
|
| ## Supported Tasks |
|
|
| - Self-supervised speech representation learning |
| - Speech segmentation |
| - Arabic speech and dialect research |
|
|
| --- |
|
|
| ## Languages |
|
|
| - Arabic (`ar`) |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| Each entry includes: |
| - A YouTube video identifier |
| - Segment start time (seconds) |
| - Segment end time (seconds) |
|
|
| Users are expected to retrieve the referenced media themselves and extract the corresponding audio segments. |
|
|
| --- |
|
|
| ## Licensing Information |
|
|
| ### Metadata License |
|
|
| All metadata (video identifiers and segment boundaries) is released under: |
|
|
| **Creative Commons Attribution 4.0 International (CC BY 4.0)** |
|
|
| This license applies **only to the metadata** provided in this dataset. |
|
|
| ### Referenced Media |
|
|
| The referenced audio/video content: |
| - Is **not distributed** |
| - Remains hosted on YouTube |
| - Is subject to the **original license selected by the content uploader** |
|
|
| Users are responsible for ensuring compliance with the original content licenses and YouTube’s Terms of Service. |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the following paper: |
|
|
| > **Ara-Best-RQ: Multi Dialectal Arabic SSL** |
| > Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, Yannick Estève, Fethi Bougares |
| > *Accepted at ICASSP 2026* |
|
|
| A BibTeX entry will be provided once the proceedings are published. |
|
|
| --- |
|
|
| ## Ethical Considerations |
|
|
| - This dataset references only publicly available content |
| - No personally identifying information is added or inferred |
| - No attempt is made to identify speakers |
|
|
| --- |
|
|
| ## Limitations |
|
|
| - Some referenced videos may become unavailable over time |
| - Audio quality and recording conditions vary |
| - Licensing information for individual videos is not exhaustively archived |
|
|
| --- |
|
|
| ## Contact |
|
|
| For questions, corrections, or takedown requests, please contact the dataset maintainer via the Hugging Face repository. |
