Common Voice Scripted Speech 25.0 - Dutch

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 3.16 GB

Description

A collection of read speech recordings in Dutch (Nederlands).

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

Nederlands — Dutch (`nl`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Dutch [Nederlands - nl]. The dataset contains 115815 clips representing 140.62 hours of recorded speech (126.22 hours validated) from 1874 speakers, recorded from a text corpus of 271,413 sentences.

Language

Accents

Code	Accent	Clips	Speakers
netherlands	Nederlands Nederlands	80,548 (69.5%)	593 (31.6%)
belgium	Belgisch Nederlands	8,966 (7.7%)	151 (8.1%)
suriname	Surinaams Nederlands	737 (0.6%)	1 (0.1%)
curacao	Nederlands van Curaçao	195 (0.2%)	2 (0.1%)
france	Frans Nederlands	109 (0.1%)	6 (0.3%)
germany	Duits Nederlands	60 (0.1%)	5 (0.3%)
aruba	Nederlands van Aruba	51 (0.0%)	1 (0.1%)
south_africa	Zuid-Afrikaans Nederlands	10 (0.0%)	1 (0.1%)
-	Other	1,576 (1.4%)	40 (2.1%)

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	59,904 (51.7%)	527 (28.1%)
female_feminine	Female, feminine	11,579 (10.0%)	155 (8.3%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	44,332 (38.3%)	1,296 (69.2%)

Gender declared: 71,483 of 115,815 clips (61.7%), 578 of 1,874 speakers (30.8%)

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	2,147 (1.9%)	38 (2.0%)
twenties	Twenties	21,030 (18.2%)	281 (15.0%)
thirties	Thirties	13,850 (12.0%)	179 (9.6%)
fourties	Fourties	21,326 (18.4%)	114 (6.1%)
fifties	Fifties	13,184 (11.4%)	68 (3.6%)
sixties	Sixties	2,119 (1.8%)	36 (1.9%)
seventies	Seventies	96 (0.1%)	6 (0.3%)
eighties	Eighties	15 (0.0%)	1 (0.1%)
nineties	Nineties	5 (0.0%)	1 (0.1%)
-	Unspecified	42,043 (36.3%)	1,271 (67.8%)

Age declared: 73,772 of 115,815 clips (63.7%), 603 of 1,874 speakers (32.2%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	103,951 (89.8%)
Invalidated	6,139 (5.3%)
Other	5,725 (4.9%)

Training splits

Split	Clips
Train	46,392 (44.6%)
Dev	12,247 (11.8%)
Test	12,247 (11.8%)

Training split coverage: 70,886 of 103,951 validated clips (68.2%)

The dataset contains 103951 validated, 6139 invalidated, and 5725 unresolved clips. The average clip duration is 4.371 seconds.

Text corpus

Validated sentences: 260,894

Category	Count
Unvalidated sentences	10,519
Pending sentences	10,410
Rejected sentences	109
Reported sentences	407

The corpus contains 271,413 sentences: 260,894 validated and 10,519 unvalidated (10,410 pending review, 109 rejected), with 407 reported for review.

Sample

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

Dit is een echt succesverhaal.
We hebben uw steun niet nodig, maar ik hoop wel dat we hem krijgen.
Hoe gevoeliger een onderwerp is, des te omzichtiger het moet worden behandeld.
Er kunnen verschillende maatregelen genomen worden.
We moeten onze prioriteiten eens op een rijtje zetten.

Sources

Source	Sentences
europarl	191,664 (73.5%)
sentence-collector	61,717 (23.7%)
danielsjf	4,028 (1.5%)
Other	3,383 (1.3%)

Text domains

Code	Domain	Clips	Speakers
general	General	455 (0.4%)	34 (1.8%)
agriculture_food	Agriculture and Food	18 (0.0%)	6 (0.3%)
automotive_transport	Automotive and Transport	21 (0.0%)	11 (0.6%)
finance	Finance	8 (0.0%)	4 (0.2%)
service_retail	Service and Retail	-	-
healthcare	Healthcare	56 (0.0%)	9 (0.5%)
history_law_government	History, Law and Government	59 (0.1%)	7 (0.4%)
media_entertainment	Media and Entertainment	3 (0.0%)	2 (0.1%)
nature_environment	Nature and Environment	56 (0.0%)	9 (0.5%)
news_current_affairs	News and Current Affairs	4 (0.0%)	3 (0.2%)
technology_robotics	Technology and Robotics	5 (0.0%)	3 (0.2%)
language_fundamentals	Language Fundamentals	179 (0.2%)	20 (1.1%)

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