Common Voice Scripted Speech 25.0 - Norwegian Nynorsk

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 38.42 MB


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Description

A collection of read speech recordings in Norwegian Nynorsk (Norsk (nynorsk)).

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

Norsk (nynorsk) — Norwegian Nynorsk (nn-NO)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Norwegian Nynorsk [Norsk (nynorsk) - nn-NO]. The dataset contains 1558 clips representing 1.92 hours of recorded speech (1.61 hours validated) from 41 speakers, recorded from a text corpus of 5,324 sentences.

Language

Norwegian Nynorsk is a written standard of Norwegian. The standard is the preferred written standard of around 10-15% of the Norwegian population and is largely based on the Norwegian dialects of the West of Norway.

The language code is nn and the locale is nn-NO (Nynorsk as written in Norway). Note that this locale includes the region code for historical reasons relating to the localisation platform. The dataset contains Norwegian as spoken anywhere and as written in the Nynorsk standard.

Accents

CodeAccentClipsSpeakers
-1,795 (115.2%)15 (36.6%)

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.

CodeGenderClipsSpeakers
male_masculineMale, masculine801 (51.4%)13 (31.7%)
female_feminineFemale, feminine183 (11.7%)3 (7.3%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified574 (36.8%)30 (73.2%)

Gender declared: 984 of 1,558 clips (63.2%), 11 of 41 speakers (26.8%)

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.

CodeAgeClipsSpeakers
teensTeens24 (1.5%)1 (2.4%)
twentiesTwenties382 (24.5%)8 (19.5%)
thirtiesThirties558 (35.8%)6 (14.6%)
fourtiesFourties45 (2.9%)2 (4.9%)
fiftiesFifties10 (0.6%)1 (2.4%)
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified539 (34.6%)28 (68.3%)

Age declared: 1,019 of 1,558 clips (65.4%), 13 of 41 speakers (31.7%)

Data splits for modelling

Clip buckets

BucketClips
Validated1,307 (83.9%)
Invalidated61 (3.9%)
Other190 (12.2%)

Training splits

SplitClips
Train588 (45.0%)
Dev322 (24.6%)
Test392 (30.0%)

Training split coverage: 1,302 of 1,307 validated clips (99.6%)

The dataset contains 1307 validated, 61 invalidated, and 190 unresolved clips. The average clip duration is 4.441 seconds.

Text corpus

The average length of sentences is 7 tokens (42 characters).

Validated sentences: 5,318

CategoryCount
Unvalidated sentences6
Pending sentences-
Rejected sentences6
Reported sentences41

The corpus contains 5,324 sentences: 5,318 validated and 6 unvalidated (0 pending review, 6 rejected), with 41 reported for review.

Writing system

Norwegian is written in the Latin script. The text corpus also contains a limited amount of punctuation.

Symbol table
Symbol
a
å
æ
b
c
d
e
é
è
f
g
h
i
j
k
l
m
n
o
ò
ø
p
q
r
s
t
u
v
w
x
y
z
!
-
.
?

Sample

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

  1. Det er eit reelt alternativ.

  2. Og i meg sjølv eg kjenner dypter av

  3. Kanskje var det berre i forbifarten.

  4. Kvar eg fekk tak i han?

  5. Eg veit at du kjempar.

Sources

SourceSentences
sentence-collector5,054 (95.0%)
proverbs http://oaks.nvg.org/norwegian-proverbs.html173 (3.3%)
bokelskere corpus cc-055 (1.0%)
Other36 (0.7%)

Text domains

The corpus was initially seeded with sentences from

  • Book reviews and book discussions (from the web community bokelskere.no)

  • Transcribed and manually checked discussions from the Norwegian Parliament (Stortinget), from 2017 to 2018

Later, several individual users have contributed sentences in various domains through Mozilla's web interface.

Processing

Both sources include sentences in both Norwegian Nynorsk and Norwegian Bokmål.

Norwegian Nynorsk candidate sentences were extracted by both excluding Bokmål-only words and including Nynorsk-only words:

OnlyWords
Bokmålikke, jeg, en, et, fra, hun, noen, være, mer, ble, mye, bare, boken, kommer, flere, dem
Nynorskeg, ikkje, ein, me, vere, meir, fleire, berre, ho, eit, blei, vart

These candidate sentences were then checked by two writers of Nynorsk to ensure that they were indeed written in Nynorsk before inclusion into the corpus.

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)

Get involved

Community links

Discussions

Contribute

Acknowledgements

Datasheet authors

  • Francis M. Tyers

  • Kevin B. Unhammer

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

  1. 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