Common Voice Scripted Speech 25.0 - Marathi

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 561.35 MB

Description

A collection of read speech recordings in Marathi (मराठी).

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

मराठी — Marathi (`mr`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Marathi [मराठी - mr]. The dataset contains 16091 clips representing 27.71 hours of recorded speech (18.94 hours validated) from 105 speakers, recorded from a text corpus of 18,819 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		2,527 (15.7%)	8 (7.6%)

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	3,077 (19.1%)	24 (22.9%)
female_feminine	Female, feminine	12,107 (75.2%)	45 (42.9%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	907 (5.6%)	51 (48.6%)

Gender declared: 15,184 of 16,091 clips (94.4%), 54 of 105 speakers (51.4%)

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	8,469 (52.6%)	41 (39.0%)
twenties	Twenties	4,578 (28.5%)	22 (21.0%)
thirties	Thirties	2,070 (12.9%)	6 (5.7%)
fourties	Fourties	10 (0.1%)	2 (1.9%)
fifties	Fifties	5 (0.0%)	1 (1.0%)
sixties	Sixties	64 (0.4%)	1 (1.0%)
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	895 (5.6%)	48 (45.7%)

Age declared: 15,196 of 16,091 clips (94.4%), 57 of 105 speakers (54.3%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	10,997 (68.3%)
Invalidated	2,301 (14.3%)
Other	2,793 (17.4%)

Training splits

Split	Clips
Train	2,189 (19.9%)
Dev	1,766 (16.1%)
Test	1,798 (16.3%)

Training split coverage: 5,753 of 10,997 validated clips (52.3%)

The dataset contains 10997 validated, 2301 invalidated, and 2793 unresolved clips. The average clip duration is 6.2 seconds.

Text corpus

Validated sentences: 6,717

Category	Count
Unvalidated sentences	12,102
Pending sentences	12,097
Rejected sentences	5
Reported sentences	59

The corpus contains 18,819 sentences: 6,717 validated and 12,102 unvalidated (12,097 pending review, 5 rejected), with 59 reported for review.

Sample

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

तेंव्हा भीमाद्वारे अश्वत्थामा नावाच्या एका हत्तीचा वध घडवून कृष्णाने अश्वत्थामा मेला अशी आवई उठवली.
ही नामदेवांची एक प्रकारची बंडखोरीच.
पॄथ्वीकडील बाजूवरील मोठी विवरे म्हणजे इंब्रियम, सेरेनिटटिस, क्रिसियम व नेक्टारिस.
त्यामुळे येथील बेरोजगार तरुणांना रोजगाराच्या संधी निर्माण झाल्या आहेत.
पुष्पा भावे या तर फार पूर्वीपासून शिवसेनेच्या हिटलिस्टवर होत्या.

Sources

Source	Sentences
sentence-collector	6,689 (99.6%)
Other	28 (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