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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 220.26 MB
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A collection of read speech recordings in Malayalam (മലയാളം).
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.
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.
ml)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Malayalam [മലയാളം - ml]. The dataset contains 9630 clips representing 11.34 hours of recorded speech (4.1 hours validated) from 154 speakers, recorded from a text corpus of 10,215 sentences.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 4,290 (44.5%) | 39 (25.3%) |
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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 | 4,535 (47.1%) | 30 (19.5%) |
| female_feminine | Female, feminine | 1,825 (19.0%) | 8 (5.2%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 3,270 (34.0%) | 131 (85.1%) |
Gender declared: 6,360 of 9,630 clips (66.0%), 23 of 154 speakers (14.9%)
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 | 6 (0.1%) | 2 (1.3%) |
| twenties | Twenties | 5,654 (58.7%) | 28 (18.2%) |
| thirties | Thirties | 747 (7.8%) | 8 (5.2%) |
| fourties | Fourties | 1,039 (10.8%) | 3 (1.9%) |
| fifties | Fifties | - | - |
| sixties | Sixties | 45 (0.5%) | 2 (1.3%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 2,139 (22.2%) | 128 (83.1%) |
Age declared: 7,491 of 9,630 clips (77.8%), 26 of 154 speakers (16.9%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 3,485 (36.2%) |
| Invalidated | 120 (1.2%) |
| Other | 6,025 (62.6%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,232 (35.4%) |
| Dev | 941 (27.0%) |
| Test | 888 (25.5%) |
Training split coverage: 3,061 of 3,485 validated clips (87.8%)
The dataset contains 3485 validated, 120 invalidated, and 6025 unresolved clips. The average clip duration is 4.242 seconds.
Validated sentences: 5,487
| Category | Count |
|---|---|
| Unvalidated sentences | 4,728 |
| Pending sentences | 4,719 |
| Rejected sentences | 9 |
| Reported sentences | 211 |
The corpus contains 10,215 sentences: 5,487 validated and 4,728 unvalidated (4,719 pending review, 9 rejected), with 211 reported for review.
There follows a randomly selected sample of five sentences from the corpus.
എനിക്ക് കൃഷി ഇഷ്ടമാണെന്ന് നീ അവരോട് പറഞ്ഞു
ഞാന് നിനക്ക് വാക്ക് തരുന്നു
ആളുകള് ഇതിവിടെ എഴുതുമ്പോൾ
അത് സാധ്യമല്ല
ഒരു സംശയവും വേണ്ട.
| Source | Sentences |
|---|---|
| sentence-collector | 5,220 (95.1%) |
| https://ml.wikisource.org/wiki/%E0%B4%B5%E0%B5%88%E0%B4%B0%E0%B5%81%E0%B4%A7%E0%B5%8D%E0%B4%AF%E0%B4%BE%E0%B4%A4%E0%B5%8D%E0%B4%AE%E0%B4%95_%E0%B4%AD%E0%B5%97%E0%B4%A4%E0%B4%BF%E0%B4%95%E0%B4%B5%E0%B4%BE%E0%B4%A6%E0%B4%82 | 121 (2.2%) |
| Other | 146 (2.7%) |
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.tsvThe 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.tsvThe 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)
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.
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