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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 715.69 MB
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A collection of read speech recordings in Hill Mari (Кырык мары).
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.
mrj)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Hill Mari [Кырык мары - mrj]. The dataset contains 31693 clips representing 36.91 hours of recorded speech (33.74 hours validated) from 60 speakers, recorded from a text corpus of 54,147 sentences.
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 | 7,973 (25.2%) | 14 (23.3%) |
| female_feminine | Female, feminine | 19,692 (62.1%) | 30 (50.0%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 4,028 (12.7%) | 25 (41.7%) |
Gender declared: 27,665 of 31,693 clips (87.3%), 35 of 60 speakers (58.3%)
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 | 1,870 (5.9%) | 6 (10.0%) |
| twenties | Twenties | 11,168 (35.2%) | 16 (26.7%) |
| thirties | Thirties | 7,080 (22.3%) | 9 (15.0%) |
| fourties | Fourties | 3,837 (12.1%) | 12 (20.0%) |
| fifties | Fifties | 3,592 (11.3%) | 1 (1.7%) |
| sixties | Sixties | 1,119 (3.5%) | 1 (1.7%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 3,027 (9.6%) | 24 (40.0%) |
Age declared: 28,666 of 31,693 clips (90.4%), 36 of 60 speakers (60.0%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 28,973 (91.4%) |
| Invalidated | 1,261 (4.0%) |
| Other | 1,459 (4.6%) |
Training splits
| Split | Clips |
|---|---|
| Train | 14,325 (49.4%) |
| Dev | 7,314 (25.2%) |
| Test | 7,164 (24.7%) |
Training split coverage: 28,803 of 28,973 validated clips (99.4%)
The dataset contains 28973 validated, 1261 invalidated, and 1459 unresolved clips. The average clip duration is 4.193 seconds.
Validated sentences: 54,143
| Category | Count |
|---|---|
| Unvalidated sentences | 4 |
| Pending sentences | 4 |
| Rejected sentences | - |
| Reported sentences | 50 |
The corpus contains 54,147 sentences: 54,143 validated and 4 unvalidated (4 pending review, 0 rejected), with 50 reported for review.
There follows a randomly selected sample of five sentences from the corpus.
— Мӹнь тиштӹ ылам, — юк шактыш, — олмаву лӹвӓлнӹ.
– Шин пуштыныт...
Лач ородыла веле чучеш.
Мырымы юкшым Дуня колын дӓ мать Марфалан келесен.
Мӹнят тӹжем ӹндекшшӱдӹ коклышы им, майын вӹзӹмшӹ числажым, колымешкем монден ам керд гӹнят
| Source | Sentences |
|---|---|
| sentence-collector | 54,143 (100.0%) |
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