Datasets:
id stringlengths 9 20 | audio audioduration (s) 58.4 4.8k | riwayah stringclasses 1
value | description stringlengths 40 169 ⌀ | reciter stringlengths 9 27 | style stringclasses 4
values | content stringclasses 2
values | noisy bool 2
classes | passages stringlengths 4 77 | multi_surah bool 2
classes | duration_s float64 58.4 4.8k | recited_words int32 96 6.19k | wpm int32 28 170 | repeat_events int32 0 72 | truth dict | segments listlengths 7 672 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
luhaidan-fatir | hafs_an_asim | Live recording, limiter-crushed and heavily reverberant: no measurable silence between phrases. Dense re-recitations. | Muhammad Al-Luhaidan | murattal | quran_only | true | Faatir | false | 1,092.29 | 898 | 50 | 27 | {
"words": [
{
"word": "35:1:1",
"start_s": 0.38,
"end_s": 1.37
},
{
"word": "35:1:2",
"start_s": 1.37,
"end_s": 2.74
},
{
"word": "35:1:3",
"start_s": 2.74,
"end_s": 3.28
},
{
"word": "35:1:4",
"start_s": 3.28,
"end_s... | [
{
"start_s": 0.38,
"end_s": 10.22,
"first_word": "35:1:1",
"last_word": "35:1:8"
},
{
"start_s": 10.22,
"end_s": 20.84,
"first_word": "35:1:6",
"last_word": "35:1:13"
},
{
"start_s": 20.84,
"end_s": 25.956,
"first_word": "35:1:14",
"last_word": "35:1:18"
},
... | |
luhaidan-haqqah | hafs_an_asim | Emotional recitation, crushed and reverberant. Partial surah with repeated passages. | Muhammad Al-Luhaidan | murattal | quran_only | true | Al-Haaqqa 25-37 | false | 145.148 | 96 | 41 | 13 | {
"words": [
{
"word": "69:25:1",
"start_s": 0.06,
"end_s": 2.82
},
{
"word": "69:25:2",
"start_s": 2.82,
"end_s": 3.29
},
{
"word": "69:25:3",
"start_s": 3.29,
"end_s": 3.82
},
{
"word": "69:25:4",
"start_s": 3.82,
"e... | [
{
"start_s": 0.06,
"end_s": 9.94,
"first_word": "69:25:1",
"last_word": "69:25:6"
},
{
"start_s": 9.94,
"end_s": 15.26,
"first_word": "69:25:6",
"last_word": "69:25:10"
},
{
"start_s": 15.44,
"end_s": 20.73,
"first_word": "69:25:6",
"last_word": "69:25:10"
}... | |
luhaidan-qiyamah | hafs_an_asim | Prayer capture, crushed and reverberant. | Muhammad Al-Luhaidan | murattal | quran_only | true | Al-Qiyaama | true | 241.2 | 189 | 50 | 0 | {
"words": [
{
"word": "1:2:1",
"start_s": 0.28,
"end_s": 0.85
},
{
"word": "1:2:2",
"start_s": 0.85,
"end_s": 1.57
},
{
"word": "1:2:3",
"start_s": 1.57,
"end_s": 2.04
},
{
"word": "1:2:4",
"start_s": 2.04,
"end_s": 5... | [
{
"start_s": 0.28,
"end_s": 5.5,
"first_word": "1:2:1",
"last_word": "1:2:4"
},
{
"start_s": 5.55,
"end_s": 10.41,
"first_word": "1:3:1",
"last_word": "1:3:2"
},
{
"start_s": 10.41,
"end_s": 15.71,
"first_word": "1:4:1",
"last_word": "1:4:3"
},
{
"star... | |
jaber-inshiqaq | hafs_an_asim | null | Ali Jaber | murattal | quran_only | false | Al-Inshiqaaq | false | 128.197 | 107 | 58 | 0 | {
"words": [
{
"word": "Basmala:1",
"start_s": 0.98,
"end_s": 1.55
},
{
"word": "Basmala:2",
"start_s": 1.55,
"end_s": 2.32
},
{
"word": "Basmala:3",
"start_s": 2.32,
"end_s": 3.5
},
{
"word": "Basmala:4",
"start_s": 3.5,
... | [
{
"start_s": 0.98,
"end_s": 4.87,
"first_word": "Basmala:1",
"last_word": "Basmala:4"
},
{
"start_s": 5.78,
"end_s": 13.66,
"first_word": "84:1:1",
"last_word": "84:2:3"
},
{
"start_s": 13.66,
"end_s": 22.295,
"first_word": "84:3:1",
"last_word": "84:5:3"
},... | |
jaber-nisa | hafs_an_asim | null | Ali Jaber | hadr | quran_only | false | An-Nisaa 100-102 | false | 58.375 | 116 | 121 | 0 | {
"words": [
{
"word": "4:100:1",
"start_s": 0.42,
"end_s": 1.2
},
{
"word": "4:100:2",
"start_s": 1.2,
"end_s": 1.74
},
{
"word": "4:100:3",
"start_s": 1.74,
"end_s": 1.99
},
{
"word": "4:100:4",
"start_s": 1.99,
"end... | [
{
"start_s": 0.42,
"end_s": 6.2,
"first_word": "4:100:1",
"last_word": "4:100:11"
},
{
"start_s": 6.23,
"end_s": 15.86,
"first_word": "4:100:12",
"last_word": "4:100:31"
},
{
"start_s": 16,
"end_s": 25.903,
"first_word": "4:101:1",
"last_word": "4:101:23"
},... | |
afasy-baqarah | hafs_an_asim | Whole surah in one 80-minute take; commercial master limited at 0 dBFS; occasional re-recitations. | Mishary Al-Afasy | hadr | quran_only | false | Al-Baqara | false | 4,796.778 | 6,186 | 78 | 28 | {"words":[{"word":"Isti'adha:1","start_s":0.08,"end_s":0.66},{"word":"Isti'adha:2","start_s":0.66,"e(...TRUNCATED) | [{"start_s":0.08,"end_s":2.75,"first_word":"Isti'adha:1","last_word":"Isti'adha:5"},{"start_s":2.75,(...TRUNCATED) | |
mandour-taha | hafs_an_asim | Live recording with audible background noise, hot-mastered; frequent whole-verse re-recitations. | Ahmed Mandour | murattal | quran_only | true | Taa-Haa 1-98 | false | 1,285.69 | 1,066 | 51 | 31 | {"words":[{"word":"20:1:1","start_s":0.38,"end_s":2.52},{"word":"20:1:1","start_s":2.82,"end_s":4.51(...TRUNCATED) | [{"start_s":0.38,"end_s":2.52,"first_word":"20:1:1","last_word":"20:1:1"},{"start_s":2.82,"end_s":4.(...TRUNCATED) | |
ayyub-juz-amma | hafs_an_asim | The whole juz' in one recording, 37 chapter openings. | Muhammad Ayyub | murattal | quran_only | false | Juz' Amma | true | 3,474.68 | 2,354 | 46 | 13 | {"words":[{"word":"Basmala:1","start_s":0.92,"end_s":1.63},{"word":"Basmala:2","start_s":1.63,"end_s(...TRUNCATED) | [{"start_s":0.92,"end_s":5.32,"first_word":"Basmala:1","last_word":"Basmala:4"},{"start_s":6.54,"end(...TRUNCATED) | |
badri-juz-tabarak | hafs_an_asim | The whole juz' in one fast take, 11 chapter openings. | Abdul Qadir Badri | hadr | quran_only | false | Juz' Tabarak | true | 1,450.875 | 2,661 | 114 | 0 | {"words":[{"word":"Basmala:1","start_s":0.3,"end_s":0.6},{"word":"Basmala:2","start_s":0.6,"end_s":1(...TRUNCATED) | [{"start_s":0.3,"end_s":3.3,"first_word":"Basmala:1","last_word":"Basmala:4"},{"start_s":3.48,"end_s(...TRUNCATED) | |
abdulbasit-raad | hafs_an_asim | null | Abdul Basit Abdul Samad | mujawwad | quran_only | false | Ar-Ra'd | false | 2,284.84 | 869 | 28 | 3 | {"words":[{"word":"13:1:1","start_s":1.9,"end_s":12.24},{"word":"13:1:2","start_s":17.7,"end_s":18.9(...TRUNCATED) | [{"start_s":1.9,"end_s":12.24,"first_word":"13:1:1","last_word":"13:1:1"},{"start_s":17.7,"end_s":24(...TRUNCATED) |
Quran Recitation Alignment Benchmark
Audio recordings of Quran recitation with a reviewed word-level ground truth: every recited word, in the order it was recited, with its start and end time, plus the reviewed segmentation and non-Quran regions. This is the corpus behind the Quran Recitation Alignment Benchmark; the task, scoring rules, leaderboard and submission format are documented there, not here.
16 recordings · 357 minutes · 18,421 recited words · Hafs ʿan ʿĀṣim · murattal, mujawwad, hadr and muallim · studio, prayer and teaching captures.
Using the dataset
One config per corpus version, one split.
from datasets import load_dataset
ds = load_dataset("hetchyy/quran-alignment-benchmark", "v1", split="test")
row = ds[0]
row["audio"] # decoded audio; use Audio(decode=False) to get the MP3 bytes instead
row["truth"]["words"] # [{"word": "84:1:1", "start_s": 5.78, "end_s": 6.25}, ...]
row["segments"] # [{"start_s", "end_s", "first_word", "last_word"}, ...]
To run an aligner on the recordings and score it, use the benchmark package rather than reading the parquet yourself:
pip install "quran-alignment-benchmark[corpus]"
qab fetch --corpus v1 --out corpus/ # <id>.mp3 + <id>.json per recording
qab score submissions/ --corpus v1 # the same report the leaderboard shows
Columns
| column | meaning |
|---|---|
id |
stable recording id; the case_id of a submission |
audio |
the recording (MP3, byte-for-byte the reviewed file) |
riwayah |
reading whose numbering the truth uses (hafs_an_asim) |
reciter, style, content, noisy, description |
declared: who, murattal / mujawwad / hadr / muallim, quran_only / prayer, degraded capture or not, free text |
passages, multi_surah, duration_s, recited_words, wpm, repeat_events |
derived from the truth |
truth |
words[{word, start_s, end_s}] and non_quran[{start_s, end_s}]; word is S:A:W (chapter:verse:word, Hafs numbering) or Basmala:k / Isti'adha:k |
segments |
the reviewed segmentation, edges from the first and last word times |
Times are seconds from the start of the audio. A repeated word appears once per recitation. Full column definitions, annotation method and known gaps: docs/CORPUS.md.
Versioning
A config is immutable once a score has been published against it. A re-annotation or an added recording becomes the next config (v2). Scores always name the config they were computed on.
License
CC BY 4.0 for the annotations (truth, segments) and descriptive columns, and for the benchmark repository. The audio recordings are not covered by this license.
Corpus issues and new audio
Report an audio or ground-truth problem through a GitHub issue.
To suggest new audio, provide only:
- An audio link or file.
- The reciter's name.
- Why it would be a useful addition to the corpus.
No other metadata or annotations are needed. If accepted, the recording will be ingested, annotated, and released in the next corpus version.
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