Common Voice Scripted Speech 25.0 - Romansh Vallader

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 113.02 MB

Description

A collection of read speech recordings in Romansh Vallader (Rumantsch vallader).

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

Rumantsch vallader — Romansh Vallader (`rm-vallader`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Romansh Vallader [Rumantsch vallader - rm-vallader]. The dataset contains 2661 clips representing 4.31 hours of recorded speech (2.47 hours validated) from 55 speakers, recorded from a text corpus of 7,085 sentences.

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	1,161 (43.6%)	6 (10.9%)
female_feminine	Female, feminine	506 (19.0%)	6 (10.9%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	994 (37.4%)	43 (78.2%)

Gender declared: 1,667 of 2,661 clips (62.6%), 12 of 55 speakers (21.8%)

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	-	-
twenties	Twenties	367 (13.8%)	3 (5.5%)
thirties	Thirties	150 (5.6%)	4 (7.3%)
fourties	Fourties	1,080 (40.6%)	4 (7.3%)
fifties	Fifties	10 (0.4%)	1 (1.8%)
sixties	Sixties	75 (2.8%)	1 (1.8%)
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	979 (36.8%)	42 (76.4%)

Age declared: 1,682 of 2,661 clips (63.2%), 13 of 55 speakers (23.6%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	1,527 (57.4%)
Invalidated	394 (14.8%)
Other	740 (27.8%)

Training splits

Split	Clips
Train	557 (36.5%)
Dev	500 (32.7%)
Test	463 (30.3%)

Training split coverage: 1,520 of 1,527 validated clips (99.5%)

The dataset contains 1527 validated, 394 invalidated, and 740 unresolved clips. The average clip duration is 5.832 seconds.

Text corpus

Validated sentences: 5,913

Category	Count
Unvalidated sentences	1,172
Pending sentences	1,172
Rejected sentences	-
Reported sentences	36

The corpus contains 7,085 sentences: 5,913 validated and 1,172 unvalidated (1,172 pending review, 0 rejected), with 36 reported for review.

Sample

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

Ganzoni ha stuvü dar precedenza sulettamaing ad Andri Krättli da Cuoira.
Quella proposta es gnüda approvada.
A la viafier nu fa la naiv tant fastidi sco sün via.
Quai es statta üna lavur chi til ha dat blera satisfacziun.
Pro la punt gronda s’haja stuvü rumper giò tuot fin sül vout.

Sources

Source	Sentences
sentence-collector	5,913 (100.0%)

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