Common Voice Scripted Speech 25.0 - Romansh Sursilvan

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 303.60 MB

Description

A collection of read speech recordings in Romansh Sursilvan (romontsch sursilvan).

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

romontsch sursilvan — Romansh Sursilvan (`rm-sursilv`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Romansh Sursilvan [romontsch sursilvan - rm-sursilv]. The dataset contains 7963 clips representing 11.89 hours of recorded speech (7.92 hours validated) from 93 speakers, recorded from a text corpus of 16,503 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		323 (4.1%)	2 (2.2%)

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	1,277 (16.0%)	17 (18.3%)
female_feminine	Female, feminine	1,334 (16.8%)	5 (5.4%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	5,352 (67.2%)	73 (78.5%)

Gender declared: 2,611 of 7,963 clips (32.8%), 20 of 93 speakers (21.5%)

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	390 (4.9%)	2 (2.2%)
twenties	Twenties	1,154 (14.5%)	10 (10.8%)
thirties	Thirties	529 (6.6%)	8 (8.6%)
fourties	Fourties	1,330 (16.7%)	5 (5.4%)
fifties	Fifties	-	-
sixties	Sixties	-	-
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	4,560 (57.3%)	71 (76.3%)

Age declared: 3,403 of 7,963 clips (42.7%), 22 of 93 speakers (23.7%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	5,303 (66.6%)
Invalidated	758 (9.5%)
Other	1,902 (23.9%)

Training splits

Split	Clips
Train	1,917 (36.1%)
Dev	1,579 (29.8%)
Test	1,648 (31.1%)

Training split coverage: 5,144 of 5,303 validated clips (97.0%)

The dataset contains 5303 validated, 758 invalidated, and 1902 unresolved clips. The average clip duration is 5.379 seconds.

Text corpus

Validated sentences: 9,333

Category	Count
Unvalidated sentences	7,170
Pending sentences	7,170
Rejected sentences	-
Reported sentences	19

The corpus contains 16,503 sentences: 9,333 validated and 7,170 unvalidated (7,170 pending review, 0 rejected), with 19 reported for review.

Sample

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

Ier ha la suprastonza orientau las medias dalla visada e dalla strategia nova.
Ti has enzatgei els dents.
In project da sis milliuns duess purtar migliur.
Massa autos ein carrai sper mei vi.
«Cantar sto far plascher.

Sources

Source	Sentences
sentence-collector	8,705 (93.3%)
https://github.com/ProSvizraRumantscha/corpora	628 (6.7%)

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