Common Voice Scripted Speech 25.0 - Thai

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 8.38 GB

Description

A collection of read speech recordings in Thai (ไทย).

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

ไทย — Thai (`th`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Thai [ไทย - th]. The dataset contains 366508 clips representing 426.9 hours of recorded speech (173.27 hours validated) from 7987 speakers, recorded from a text corpus of 186,192 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		10,720 (2.9%)	59 (0.7%)

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	154,100 (42.0%)	642 (8.0%)
female_feminine	Female, feminine	61,443 (16.8%)	573 (7.2%)
transgender	Transgender	20 (0.0%)	1 (0.0%)
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	5 (0.0%)	1 (0.0%)
-	Unspecified	150,940 (41.2%)	7,500 (93.9%)

Gender declared: 215,568 of 366,508 clips (58.8%), 487 of 7,987 speakers (6.1%)

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	15,326 (4.2%)	229 (2.9%)
twenties	Twenties	89,695 (24.5%)	737 (9.2%)
thirties	Thirties	27,071 (7.4%)	225 (2.8%)
fourties	Fourties	14,221 (3.9%)	83 (1.0%)
fifties	Fifties	73,141 (20.0%)	22 (0.3%)
sixties	Sixties	80 (0.0%)	1 (0.0%)
seventies	Seventies	-	-
eighties	Eighties	84 (0.0%)	1 (0.0%)
nineties	Nineties	-	-
-	Unspecified	146,890 (40.1%)	7,469 (93.5%)

Age declared: 219,618 of 366,508 clips (59.9%), 518 of 7,987 speakers (6.5%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	148,765 (40.6%)
Invalidated	9,360 (2.6%)
Other	208,383 (56.9%)

Training splits

Split	Clips
Train	32,977 (22.2%)
Dev	11,059 (7.4%)
Test	11,059 (7.4%)

Training split coverage: 55,095 of 148,765 validated clips (37.0%)

The dataset contains 148765 validated, 9360 invalidated, and 208383 unresolved clips. The average clip duration is 4.193 seconds.

Text corpus

Validated sentences: 64,491

Category	Count
Unvalidated sentences	121,701
Pending sentences	121,534
Rejected sentences	167
Reported sentences	4,312

The corpus contains 186,192 sentences: 64,491 validated and 121,701 unvalidated (121,534 pending review, 167 rejected), with 4,312 reported for review.

Sample

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

กรุณาใส่ยากลับเข้าไปในกล่องที่สอดคล้องกันหลังการใช้งาน
ใช่ สัตว์ประหลาดนั่นแหละ ถ้ามีใครรู้ว่าจะพบตัวมันที่ไหน
ฉัน ไม่เคยเดิมพันถึงครึ่งเลย ! คนอื่นกล่าวขึ้น
ยามเขาเดินผ่านบ้านขณะที่ครอบครัวออตโตไม่อยู่
การมีบ้านและห้องของตัวเอง

Sources

Source	Sentences
sentence-collector	63,597 (98.6%)
Other	894 (1.4%)

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