Quran Speech Recognition Dataset from Kaggle

For Quran speech recognition, sourced from Kaggle by author Nuwaisir. The dataset contains text modality data, with specific row and column counts unknown.

Use Cases

• Train a speech recognition model on Quranic recitation audio-text pairs, using the text modality for alignment.
• Fine-tune a language model for Quranic text processing, leveraging the provided text data.
• Analyze patterns in Quranic recitation transcripts for linguistic research.

Strengths

• Dataset is hosted on a major platform (Kaggle/Hugging Face) facilitating access.
• Includes text modality data suitable for NLP tasks.
• Tagged with region 'us' and size category '10K<n<100K', indicating a moderate scale.

Limitations

• Critical metadata such as row count, column names, and file formats are unknown.
• The dataset's last update was in February 2022, potentially making it stale for current models.
• Lack of sample data and detailed description prevents assessment of data quality and structure.

Provenance

Source

Kaggle, via Hugging Face.

Collection Method

null

Time Range

null

Freshness

Last updated 2022-02-20; no update frequency provided.

Geography

Region tagged as 'us'; specific coverage unknown.