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Release Date: 9/17/2026
Format: MP3
Size: 38.95 MB
A collection of read speech recordings in Norwegian Nynorsk (Norsk (nynorsk)).
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.
nn-NO)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Norwegian Nynorsk [Norsk (nynorsk) - nn-NO]. The dataset contains 1578 clips representing 1.94 hours of recorded speech (1.61 hours validated) from 42 speakers, recorded from a text corpus of 5,327 sentences.
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.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 1,815 (115.0%) | 16 (38.1%) |
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 | 801 (50.8%) | 13 (31.0%) |
| female_feminine | Female, feminine | 183 (11.6%) | 3 (7.1%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 594 (37.6%) | 31 (73.8%) |
Gender declared: 984 of 1,578 clips (62.4%), 11 of 42 speakers (26.2%)
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 | 24 (1.5%) | 1 (2.4%) |
| twenties | Twenties | 382 (24.2%) | 8 (19.0%) |
| thirties | Thirties | 558 (35.4%) | 6 (14.3%) |
| fourties | Fourties | 65 (4.1%) | 3 (7.1%) |
| fifties | Fifties | 10 (0.6%) | 1 (2.4%) |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 539 (34.2%) | 28 (66.7%) |
Age declared: 1,039 of 1,578 clips (65.8%), 14 of 42 speakers (33.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 1,308 (82.9%) |
| Invalidated | 61 (3.9%) |
| Other | 209 (13.2%) |
Training splits
| Split | Clips |
|---|---|
| Train | 588 (45.0%) |
| Dev | 322 (24.6%) |
| Test | 393 (30.0%) |
Training split coverage: 1,303 of 1,308 validated clips (99.6%)
The dataset contains 1308 validated, 61 invalidated, and 209 unresolved clips. The average clip duration is 4.444 seconds.
The average length of sentences is 7 tokens (42 characters).
Validated sentences: 5,318
| Category | Count |
|---|---|
| Unvalidated sentences | 9 |
| Pending sentences | 3 |
| Rejected sentences | 6 |
| Reported sentences | 42 |
The corpus contains 5,327 sentences: 5,318 validated and 9 unvalidated (3 pending review, 6 rejected), with 42 reported for review.
Norwegian is written in the Latin script. The text corpus also contains a limited amount of punctuation.
| 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 |
| ! |
| - |
| . |
| ? |
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| sentence-collector | 5,054 (95.0%) |
| proverbs http://oaks.nvg.org/norwegian-proverbs.html | 173 (3.3%) |
| bokelskere corpus cc-0 | 55 (1.0%) |
| Other | 36 (0.7%) |
The corpus was initially seeded with sentences from
Later, several individual users have contributed sentences in various domains through Mozilla's web interface.
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:
| Only | Words |
|---|---|
| Bokmål | ikke, jeg, en, et, fra, hun, noen, være, mer, ble, mye, bare, boken, kommer, flere, dem |
| Nynorsk | eg, 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.
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 filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_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 language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe 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 sentenceunvalidated_sentences.tsvThe 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 (pending or rejected)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