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README.md

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----
-license: cc-by-4.0
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+---
+license: cc-by-4.0
+task_categories:
+  - speech-processing
+language:
+  - ar
+multilinguality:
+  - monolingual
+pretty_name: Ara-Best-RQ Dataset
+---
+
+# Ara-Best-RQ Metadata Dataset
+
+## Dataset Summary
+
+This dataset provides **metadata only** for an 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.**
+
+---
+
+## 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.