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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 353.01 MB
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A collection of read speech recordings in Svan (ლუშნუ).
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.
sva)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Svan [ლუშნუ - sva]. The dataset contains 10957 clips representing 18.02 hours of recorded speech (15.73 hours validated) from 55 speakers, recorded from a text corpus of 1,549 sentences.
| Code | Variant | Clips | Speakers |
|---|---|---|---|
| sva-upperbal | ლჷჟა̄ბუ | 5,905 (53.9%) | 11 (20.0%) |
| sva-lentekh | ლჷლტეხუ | 348 (3.2%) | 4 (7.3%) |
| sva-lowerbal | ლუჩვაბურუ | 10 (0.1%) | 2 (3.6%) |
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| lenjeri | ლჷჟა̄ბუ, ლენჯა̄̈რ | 3,693 (33.7%) | 6 (10.9%) |
| kala | ლჷჟა̄ბუ, კა̄ლ | 2,467 (22.5%) | 3 (5.5%) |
| ushgul | ლჷჟა̄ბუ, უშგულ | 2,340 (21.4%) | 2 (3.6%) |
| mestia | ლჷჟა̄ბუ, მესტია | 1,492 (13.6%) | 2 (3.6%) |
| ipari | ლჷჟა̄ბუ, იფა̄̈რ | 1,487 (13.6%) | 1 (1.8%) |
| upperbaldali | ლჷჟა̄ბუ, და̈ლ | 1,487 (13.6%) | 1 (1.8%) |
| latali | ლჷჟა̄ბუ, ლატლი | 1,487 (13.6%) | 1 (1.8%) |
| kheledi | ლჷლტეხუ, ჴელედ | 348 (3.2%) | 4 (7.3%) |
| lentekhi | ლჷლტეხუ, ლენტხა | 308 (2.8%) | 1 (1.8%) |
| khopuri | ლჷლტეხუ, ხოფურ | 308 (2.8%) | 1 (1.8%) |
| tskhumari | ლუჩვაბურუ, ცხჷმა̈რ | 5 (0.0%) | 1 (1.8%) |
| - | Other | - | - |
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 | 6 (0.1%) | 1 (1.8%) |
| female_feminine | Female, feminine | 8,751 (79.9%) | 16 (29.1%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 2,200 (20.1%) | 48 (87.3%) |
Gender declared: 8,757 of 10,957 clips (79.9%), 7 of 55 speakers (12.7%)
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 | - | - |
| twenties | Twenties | 1,149 (10.5%) | 7 (12.7%) |
| thirties | Thirties | 2,240 (20.4%) | 4 (7.3%) |
| fourties | Fourties | 2,614 (23.9%) | 5 (9.1%) |
| fifties | Fifties | 2,316 (21.1%) | 2 (3.6%) |
| sixties | Sixties | 1,422 (13.0%) | 1 (1.8%) |
| seventies | Seventies | 457 (4.2%) | 1 (1.8%) |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 759 (6.9%) | 46 (83.6%) |
Age declared: 10,198 of 10,957 clips (93.1%), 9 of 55 speakers (16.4%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 9,567 (87.3%) |
| Invalidated | 1,374 (12.5%) |
| Other | 16 (0.1%) |
Training splits
| Split | Clips |
|---|---|
| Train | 567 (5.9%) |
| Dev | 467 (4.9%) |
| Test | 503 (5.3%) |
Training split coverage: 1,537 of 9,567 validated clips (16.1%)
The dataset contains 9567 validated, 1374 invalidated, and 16 unresolved clips. The average clip duration is 5.921 seconds.
Validated sentences: 1,538
| Category | Count |
|---|---|
| Unvalidated sentences | 11 |
| Pending sentences | 6 |
| Rejected sentences | 5 |
| Reported sentences | 9 |
The corpus contains 1,549 sentences: 1,538 validated and 11 unvalidated (6 pending review, 5 rejected), with 9 reported for review.
There follows a randomly selected sample of five sentences from the corpus.
ალი შდჷხჷნდიშ კვა̈ფხ ლი.
ნაცუ̄ლ ლი ლა̄შხი სოფელ.
ა̈გითე ანჴა̈დხ, ეჩქას ესნა̈რ ბაღათჷრშა ჯაჯუ̄ჲ ოხჴერდახ ალჲა̈რს.
ხა̈ლხს ათხიდჷნ გვა̈მიდ.
ლა̄̈თშვ ლახე ზჷ̄სყა̈რ სურუს ხეჴფიხ მა̄რა, ეჯა ჰა̄ვდრი ლა̈ნშა̈ნ ლი.
| Source | Sentences |
|---|---|
| სვანური პროზაული ტექსტები, II, ბალსქვემოური კილო, თბილისი, 1957 | 475 (30.9%) |
| სვანური ენის ქრესტომათია, თსუ გამომცემლობა, თბილისი, 1978 | 429 (27.9%) |
| სვანური პროზაული ტექსტები, I, ბალსზემოური კილო, თბილისი, 1939 | 246 (16.0%) |
| "ვარლამ თოფურიას ""სვანური ენის სახელმძღვანელო""" | 214 (13.9%) |
| ზ. ჭუმბურიძე, რ. ქურდაძე, ლ. ნიჟარაძე, სვანური ენა, თბილისი, 2007 | 61 (4.0%) |
| სვანური პროზაული ტექსტები IV, ლაშხური კილო, თბილისი, 1979 | 50 (3.3%) |
| ვარლამ თოფურია, სვანური ენის სახელმძღვანელო, თბილისი, 2008 | 19 (1.2%) |
| Other | 44 (2.9%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 96 (0.9%) | 14 (25.5%) |
| agriculture_food | Agriculture and Food | 108 (1.0%) | 19 (34.5%) |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | 162 (1.5%) | 22 (40.0%) |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | - | - |
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 was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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