📊

Dataset

Quranic Word By Word Audio Data

Name: Quranic Word By Word Audio Data
Creator: zaibihassan
License: Apache-2.0

by zaibihassan zaibihassan/quranic-word-by-word-audio-data

Free2AITools Nexus Index

59.7

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61

P: Popularity 51

R: Recency 91

Q: Quality 50

Tech Context

Vital Performance —

Source →

Data Integrity 59.7 FNI Score

- Size

- Rows

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	zaibihassan/quranic-word-by-word-audio-data
License	Apache-2.0
Provider	huggingface

📜

Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset_zaibihassan_quranic_word_by_word_audio_data,
  author = {zaibihassan},
  title = {Quranic Word By Word Audio Data Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/zaibihassan/Quranic-Word-By-Word-Audio-Data}},
  note = {Accessed via Free2AITools.}
}

APA Style

zaibihassan. (2026). Quranic Word By Word Audio Data [Dataset]. Free2AITools. https://huggingface.co/datasets/zaibihassan/Quranic-Word-By-Word-Audio-Data

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61

Popularity (P) 51

Recency (R) 91

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Quranic Word By Word Audio Data: Authority (A:61), Popularity (P:51), Recency (R:91), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

⬇️

Downloads

28,433

🎯 Task Categories

automatic-speech-recognition text-to-speech audio-classification

👁️ Data Preview

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Schema structure is shown in the Field Logic panel when available.

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Dataset Specification

Quran Word-By-Word Audio Dataset Banner

🌟 Overview

Quran Word-By-Word Audio Dataset contains two complete word-by-word recitation datasets of the Holy Quran, optimized for edge delivery, mobile streaming, and machine learning pipelines:

Muallim (Teacher Style) — optimized for slow, educational, and repeat-friendly listening.
Mujawwad (Tajweed Style) — optimized for natural rhythmic recitation with full tajweed flow.

Originally averaging between 2.0 GB to 2.3 GB each in raw format, the entire audio pipeline has been rebuilt and re-encoded using an optimized OPUS workflow. Each complete dataset is reduced to approximately 400 MB while preserving identical audible quality and timing precision.

🚀 Key Features

Complete Recitations: All 114 Surahs of the Holy Quran processed for both Muallim and Mujawwad recitations.
Deterministic Indexing: Over 77,000+ individual word audio files mapped with a strict SURAH_AYAH_WORD indexing system.
**Optimized

Social Proof

HuggingFace Hub

28.4KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--zaibihassan--quranic-word-by-word-audio-data
slug: zaibihassan--quranic-word-by-word-audio-data
source: huggingface
author: zaibihassan
license: Apache-2.0
tags: task_categories:automatic-speech-recognition, task_categories:text-to-speech, task_categories:audio-classification, language:ar, license:apache-2.0, size_categories:100k<n<1m, modality:audio, region:us, quran, audio, speech, arabic, word-by-word, recitation, opus, protobuf, muallim, mujawwad

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 28,433
stars: null
forks: null

Data indexed from public sources. Updated daily.