Common Voice Scripted Speech 25.0 - Bengali

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 24.84 GB

Description

A collection of read speech recordings in Bengali (বাংলা).

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

বাংলা — Bengali (`bn`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Bengali [বাংলা - bn]. The dataset contains 1052126 clips representing 1277.4 hours of recorded speech (54.31 hours validated) from 23007 speakers, recorded from a text corpus of 656,946 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		107,276 (10.2%)	510 (2.2%)

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	569,186 (54.1%)	2,208 (9.6%)
female_feminine	Female, feminine	245,745 (23.4%)	468 (2.0%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	237,195 (22.5%)	22,526 (97.9%)

Gender declared: 814,931 of 1,052,126 clips (77.5%), 481 of 23,007 speakers (2.1%)

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	74,308 (7.1%)	434 (1.9%)
twenties	Twenties	700,555 (66.6%)	2,044 (8.9%)
thirties	Thirties	32,381 (3.1%)	197 (0.9%)
fourties	Fourties	6,938 (0.7%)	27 (0.1%)
fifties	Fifties	2,055 (0.2%)	2 (0.0%)
sixties	Sixties	-	-
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	235,889 (22.4%)	22,507 (97.8%)

Age declared: 816,237 of 1,052,126 clips (77.6%), 500 of 23,007 speakers (2.2%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	44,733 (4.3%)
Invalidated	7,937 (0.8%)
Other	999,456 (95.0%)

Training splits

Split	Clips
Train	21,614 (48.3%)
Dev	9,401 (21.0%)
Test	9,401 (21.0%)

Training split coverage: 40,416 of 44,733 validated clips (90.3%)

The dataset contains 44733 validated, 7937 invalidated, and 999456 unresolved clips. The average clip duration is 4.371 seconds.

Text corpus

Validated sentences: 562,831

Category	Count
Unvalidated sentences	94,115
Pending sentences	94,111
Rejected sentences	4
Reported sentences	1,883

The corpus contains 656,946 sentences: 562,831 validated and 94,115 unvalidated (94,111 pending review, 4 rejected), with 1,883 reported for review.

Sample

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

শুকনো পাতা গাছ হইতে ঝরিয়া পড়ে, গাছ তাকে ঝরাইয়া ফেলে বলিয়াই–সে যে আবর্জনা।
প্রথমে অবশ্য এ-সকল ব্যাপার অতি অল্পই দেখিতে পাইবে।
কারণ এই নিম্ন তাপমাত্রায় জীবাণু বাঁচতে বা সংখ্যাবৃদ্ধি করতে পারে না।
পিসকিপারের তুলনায় তো ওটাকে পিচ্চি লাগছে!
তা, তোমার দাদা তো আসছেন, দেখা হবে।

Sources

Source	Sentences
sentence-collector	432,707 (76.9%)
wiki	129,935 (23.1%)
Other	189 (0.0%)

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