Common Voice Scripted Speech 25.0 - Frisian

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 4.34 GB

Description

A collection of read speech recordings in Frisian (Frysk).

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

Frysk — Frisian (`fy-NL`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Frisian [Frysk - fy-NL]. The dataset contains 159592 clips representing 215.11 hours of recorded speech (70.44 hours validated) from 2096 speakers, recorded from a text corpus of 10,917 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		35,053 (22.0%)	225 (10.7%)

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	20,590 (12.9%)	153 (7.3%)
female_feminine	Female, feminine	48,488 (30.4%)	242 (11.5%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	90,514 (56.7%)	1,895 (90.4%)

Gender declared: 69,078 of 159,592 clips (43.3%), 201 of 2,096 speakers (9.6%)

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	528 (0.3%)	6 (0.3%)
twenties	Twenties	5,772 (3.6%)	66 (3.1%)
thirties	Thirties	16,326 (10.2%)	78 (3.7%)
fourties	Fourties	10,679 (6.7%)	83 (4.0%)
fifties	Fifties	16,317 (10.2%)	89 (4.2%)
sixties	Sixties	19,629 (12.3%)	69 (3.3%)
seventies	Seventies	651 (0.4%)	7 (0.3%)
eighties	Eighties	190 (0.1%)	3 (0.1%)
nineties	Nineties	-	-
-	Unspecified	89,500 (56.1%)	1,891 (90.2%)

Age declared: 70,092 of 159,592 clips (43.9%), 205 of 2,096 speakers (9.8%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	52,264 (32.7%)
Invalidated	4,058 (2.5%)
Other	103,270 (64.7%)

Training splits

Split	Clips
Train	3,934 (7.5%)
Dev	3,181 (6.1%)
Test	3,181 (6.1%)

Training split coverage: 10,296 of 52,264 validated clips (19.7%)

The dataset contains 52264 validated, 4058 invalidated, and 103270 unresolved clips. The average clip duration is 4.852 seconds.

Text corpus

Validated sentences: 10,902

Category	Count
Unvalidated sentences	15
Pending sentences	10
Rejected sentences	5
Reported sentences	551

The corpus contains 10,917 sentences: 10,902 validated and 15 unvalidated (10 pending review, 5 rejected), with 551 reported for review.

Sample

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

Hâldt de Green Deal stân?
Blêdzje.
Moai effisjint foar it yn- en útfleanen fan al dy ministers.
Ferpleats spraakwerkenning.
Wat is dizze moai ynpakt, der sit in goudkleurich papier om.

Sources

Source	Sentences
sentence-collector	10,333 (94.8%)
Ut de kollums Gysbert yn de Ljouwerter Courant mei tastimming fan auteur Pieter Zijlstra.	298 (2.7%)
Other	271 (2.5%)

Text domains

Code	Domain	Clips	Speakers
general	General	468 (0.3%)	31 (1.5%)
agriculture_food	Agriculture and Food	1,229 (0.8%)	39 (1.9%)
automotive_transport	Automotive and Transport	-	-
finance	Finance	208 (0.1%)	23 (1.1%)
service_retail	Service and Retail	-	-
healthcare	Healthcare	-	-
history_law_government	History, Law and Government	1,157 (0.7%)	36 (1.7%)
media_entertainment	Media and Entertainment	1,446 (0.9%)	38 (1.8%)
nature_environment	Nature and Environment	3 (0.0%)	3 (0.1%)
news_current_affairs	News and Current Affairs	224 (0.1%)	24 (1.1%)
technology_robotics	Technology and Robotics	25 (0.0%)	9 (0.4%)
language_fundamentals	Language Fundamentals	292 (0.2%)	19 (0.9%)

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