Common Voice Scripted Speech 25.0 - Tamil

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 8.57 GB

Description

A collection of read speech recordings in Tamil (தமிழ்).

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

தமிழ் — Tamil (`ta`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Tamil [தமிழ் - ta]. The dataset contains 247664 clips representing 425.32 hours of recorded speech (234.79 hours validated) from 979 speakers, recorded from a text corpus of 118,842 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		5,134 (2.1%)	49 (5.0%)

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	46,918 (18.9%)	306 (31.3%)
female_feminine	Female, feminine	38,203 (15.4%)	137 (14.0%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	162,543 (65.6%)	640 (65.4%)

Gender declared: 85,121 of 247,664 clips (34.4%), 339 of 979 speakers (34.6%)

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	9,429 (3.8%)	24 (2.5%)
twenties	Twenties	26,820 (10.8%)	239 (24.4%)
thirties	Thirties	29,463 (11.9%)	112 (11.4%)
fourties	Fourties	6,688 (2.7%)	52 (5.3%)
fifties	Fifties	6,090 (2.5%)	24 (2.5%)
sixties	Sixties	748 (0.3%)	4 (0.4%)
seventies	Seventies	4,814 (1.9%)	4 (0.4%)
eighties	Eighties	85 (0.0%)	1 (0.1%)
nineties	Nineties	-	-
-	Unspecified	163,527 (66.0%)	626 (63.9%)

Age declared: 84,137 of 247,664 clips (34.0%), 353 of 979 speakers (36.1%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	136,717 (55.2%)
Invalidated	5,749 (2.3%)
Other	105,198 (42.5%)

Training splits

Split	Clips
Train	46,517 (34.0%)
Dev	12,168 (8.9%)
Test	12,241 (9.0%)

Training split coverage: 70,926 of 136,717 validated clips (51.9%)

The dataset contains 136717 validated, 5749 invalidated, and 105198 unresolved clips. The average clip duration is 6.182 seconds.

Text corpus

Validated sentences: 118,292

Category	Count
Unvalidated sentences	550
Pending sentences	549
Rejected sentences	1
Reported sentences	3,437

The corpus contains 118,842 sentences: 118,292 validated and 550 unvalidated (549 pending review, 1 rejected), with 3,437 reported for review.

Sample

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

முருகப்பெருமான் சூரபதுமனை மயிலாகவும், சேவற்கொடியாகவும் மாற்றியது பற்றிய விளக்கம் பெருமைக்குரியது.
உன்னையா தேள் கடிச்சுது?
குறிப்பிட்ட பகுதியில் உள்ள ஆசிரியர்கள் அனைவரும் கட்டாயம் கூட்டத்திற்கு வர வேண்டுமாம்.
அதனையே பழங்காவியங்கள் தரும பீடிகை, மணியரைப் பீடிகை, கடவுள் பீடிகை, தருமபீடம், கடவுள் பீடம் என்றெல்லாம் கூறும்.
தொடர்பு இல்லையே என்று எண்ணவேண்டாம் நான் திட்டமிட்டுக் குறிப்பு வைத்துக்கொண்டு இதை எழுதவில்லை என்பதற்கு இது ஒரு அடையாளம்.

Sources

Source	Sentences
wikisource-ta	99,615 (84.2%)
covost2-en_ta	12,170 (10.3%)
sentence-collector	6,115 (5.2%)
Other	392 (0.3%)

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