Common Voice Scripted Speech 25.0 - Arabic

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 3.28 GB

Description

A collection of read speech recordings in Arabic (العربية).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

Restrictions/Special Constraints

None provided.

Forbidden Usage

It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.

Processes

Intended Use

This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.

Metadata

العربية — Arabic (`ar`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Arabic [العربية - ar]. The dataset contains 136140 clips representing 157.4 hours of recorded speech (91.9 hours validated) from 1664 speakers, recorded from a text corpus of 1,801,551 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		1,783 (1.3%)	65 (3.9%)

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

Code	Gender	Clips	Speakers
male_masculine	Male, masculine	38,431 (28.2%)	404 (24.3%)
female_feminine	Female, feminine	22,871 (16.8%)	139 (8.4%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	74,838 (55.0%)	1,260 (75.7%)

Gender declared: 61,302 of 136,140 clips (45.0%), 404 of 1,664 speakers (24.3%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

Code	Age	Clips	Speakers
teens	Teens	4,546 (3.3%)	43 (2.6%)
twenties	Twenties	40,209 (29.5%)	343 (20.6%)
thirties	Thirties	14,893 (10.9%)	133 (8.0%)
fourties	Fourties	1,776 (1.3%)	41 (2.5%)
fifties	Fifties	109 (0.1%)	6 (0.4%)
sixties	Sixties	95 (0.1%)	4 (0.2%)
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	5 (0.0%)	1 (0.1%)
-	Unspecified	74,507 (54.7%)	1,242 (74.6%)

Age declared: 61,633 of 136,140 clips (45.3%), 422 of 1,664 speakers (25.4%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	79,485 (58.4%)
Invalidated	15,255 (11.2%)
Other	41,400 (30.4%)

Training splits

Split	Clips
Train	28,865 (36.3%)
Dev	10,229 (12.9%)
Test	10,508 (13.2%)

Training split coverage: 49,602 of 79,485 validated clips (62.4%)

The dataset contains 79485 validated, 15255 invalidated, and 41400 unresolved clips. The average clip duration is 4.162 seconds.

Text corpus

Validated sentences: 59,434

Category	Count
Unvalidated sentences	1,742,117
Pending sentences	1,742,109
Rejected sentences	8
Reported sentences	2,128

The corpus contains 1,801,551 sentences: 59,434 validated and 1,742,117 unvalidated (1,742,109 pending review, 8 rejected), with 2,128 reported for review.

Sample

There follows a randomly selected sample of five sentences from the corpus.

وَكَذَّبَ الَّذِينَ مِنْ قَبْلِهِمْ وَمَا بَلَغُوا مِعْشَارَ مَا آتَيْنَاهُمْ فَكَذَّبُوا رُسُلِي فَكَيْفَ كَانَ نَكِيرِ
. أنا أستاذة رياضيات
.عليك أن تذهب
سبق إستيلاء العثمانيين على إسطنبول اكتشاف القارة الأمريكية
وَقَالَ ابْنُ عَبَّاسٍ هُوَ إنْفَاقُ مَنْ لَا يُوقِنُ بِالْخَلَفِ

Sources

Source	Sentences
sentence-collector	59,182 (99.6%)
Other	252 (0.4%)

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

client_id - hashed UUID of a given user
path - relative path of the audio file
text - supposed transcription of the audio
up_votes - number of people who said audio matches the text
down_votes - number of people who said audio does not match text
age - age of the speaker1
gender - gender of the speaker1
accents - accents of the speaker1
variant - variant of the language1
segment - if sentence belongs to a custom dataset segment, it will be listed here
prompt_upvotes - number of upvotes the sentence prompt received
prompt_reports - number of reports the sentence prompt received
is_edited - whether the clip's transcription has been edited

`validated_sentences.tsv`

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

sentence_id - unique identifier for the sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
is_used - whether the sentence is still in circulation for recording
clips_count - number of clips recorded for this sentence

`unvalidated_sentences.tsv`

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

sentence_id - unique identifier for the sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
up_votes - number of upvotes the sentence received
down_votes - number of downvotes the sentence received
status - current status of the sentence (pending or rejected)

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Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.

Footnotes

For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2 ↩3 ↩4