Common Voice Scripted Speech 25.0 - Svan
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/22/2026
Format: MP3
Size: 353.01 MB
Share
Description
A collection of read speech recordings in Svan (ლუშნუ).
Specifics
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
ლუშნუ — Svan (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.
Language
Variants
| 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%) |
Accents
| 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 | - | - |
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 | 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%)
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 | - | - |
| 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%)
Data splits for modelling
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.
Text corpus
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.
Sample
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.
Sources
| 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%) |
Text domains
| 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 | - | - |
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 userpath- relative path of the audio filetext- supposed transcription of the audioup_votes- number of people who said audio matches the textdown_votes- number of people who said audio does not match textage- age of the speaker1gender- gender of the speaker1accents- accents of the speaker1variant- variant of the language1segment- if sentence belongs to a custom dataset segment, it will be listed hereprompt_upvotes- number of upvotes the sentence prompt receivedprompt_reports- number of reports the sentence prompt receivedis_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 sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromis_used- whether the sentence is still in circulation for recordingclips_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 sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromup_votes- number of upvotes the sentence receiveddown_votes- number of downvotes the sentence receivedstatus- current status of the sentence (pendingorrejected)
Get involved
Community links
Discussions
Contribute
Acknowledgements
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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