Quranic Recitation Data with Word-Level Timestamps from 34 Reciters

Quranic Recitation Dataset (Word-by-Word Sync) contains high-quality audio recitations of the Holy Quran. The dataset includes recitations from 34 world-renowned reciters across all 114 Surahs, synchronized with millisecond-accurate word timestamps. It was created by zaibihassan and last updated on 2026-05-17.

Use Cases

• Build Quran learning applications based on synchronized word-by-word audio playback.
• Train speech recognition models for Quranic Arabic based on high-quality recitations.
• Develop pronunciation and Tajweed assessment tools based on precise word timestamps.
• Create audio-visual Quran presentations based on the synchronized recitation data.
• Conduct linguistic analysis of Quranic recitation styles based on recordings from multiple reciters.

Strengths

• Includes recitations from 34 different reciters, providing stylistic variety.
• Covers all 114 Surahs (chapters) of the Quran.
• Features millisecond-accurate word-level synchronization for precise alignment.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• License information is unavailable, which restricts clarity on permissible use.

Provenance

Source

huggingface

Collection Method

Likely compiled from existing Quranic audio sources with added synchronization.

Freshness

Last updated 2026-05-17 21:42:14; freshness should be verified.