Datasets:

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obadx

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mualem-recitations-original

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This PR significantly enhances the dataset card for obadx/mualem-recitations-original by adding crucial metadata and clarifying links.

Specifically, it:

• Adds language: [ar, en] to reflect the dataset's primary Arabic content and bilingual documentation.
• Classifies the dataset under the task_categories: automatic-speech-recognition, aligning with the paper's focus on ASR-based pronunciation error detection.
• Includes license: mit, as inferred from the associated open-source code.
• Adds descriptive tags such as quran, arabic, religious, speech, and pronunciation-assessment for better discoverability.
• Provides a direct link to the paper (Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning) at the top.
• Adds explicit links to the project page (https://obadx.github.io/prepare-quran-dataset/).
• Includes direct links to both relevant GitHub repositories: the dataset preparation code (https://github.com/obadx/prepare-quran-dataset) and the Recitations Segmenter tool (https://github.com/obadx/recitations-segmenter).
• Consolidates the existing load_dataset code snippets into a dedicated "Sample Usage" section for improved clarity and user guidance.

These additions and improvements will make the dataset more discoverable, understandable, and compliant with Hugging Face Hub standards.