Common Voice Scripted Speech 25.0 - Romanian

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 1.04 GB

Description

A collection of read speech recordings in Romanian (Română).

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

Română — Romanian (`ro`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Romanian [Română - ro]. The dataset contains 44420 clips representing 49.92 hours of recorded speech (22.3 hours validated) from 461 speakers, recorded from a text corpus of 102,957 sentences.

Language

Variants

Code	Variant	Clips	Speakers
ro-RO	Romanian-Romania	6,341 (14.3%)	31 (6.7%)

Accents

Code	Accent	Clips	Speakers
ro-muntenia	Muntenesc	4,722 (10.6%)	21 (4.6%)
ro-transilv	Transilvănean	1,509 (3.4%)	4 (0.9%)
ro-moldova	Moldovenesc	105 (0.2%)	5 (1.1%)
ro-oltenia	Oltenesc	5 (0.0%)	1 (0.2%)
ro-banat	Bănățean	5 (0.0%)	1 (0.2%)
-	Other	332 (0.7%)	10 (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	30,487 (68.6%)	192 (41.6%)
female_feminine	Female, feminine	5,585 (12.6%)	46 (10.0%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	8,348 (18.8%)	283 (61.4%)

Gender declared: 36,072 of 44,420 clips (81.2%), 178 of 461 speakers (38.6%)

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	675 (1.5%)	14 (3.0%)
twenties	Twenties	25,890 (58.3%)	151 (32.8%)
thirties	Thirties	5,592 (12.6%)	48 (10.4%)
fourties	Fourties	3,991 (9.0%)	33 (7.2%)
fifties	Fifties	933 (2.1%)	5 (1.1%)
sixties	Sixties	114 (0.3%)	1 (0.2%)
seventies	Seventies	-	-
eighties	Eighties	30 (0.1%)	1 (0.2%)
nineties	Nineties	-	-
-	Unspecified	7,195 (16.2%)	271 (58.8%)

Age declared: 37,225 of 44,420 clips (83.8%), 190 of 461 speakers (41.2%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	19,850 (44.7%)
Invalidated	1,107 (2.5%)
Other	23,463 (52.8%)

Training splits

Split	Clips
Train	5,187 (26.1%)
Dev	3,932 (19.8%)
Test	3,946 (19.9%)

Training split coverage: 13,065 of 19,850 validated clips (65.8%)

The dataset contains 19850 validated, 1107 invalidated, and 23463 unresolved clips. The average clip duration is 4.046 seconds.

Text corpus

Validated sentences: 13,755

Category	Count
Unvalidated sentences	89,202
Pending sentences	88,845
Rejected sentences	357
Reported sentences	518

The corpus contains 102,957 sentences: 13,755 validated and 89,202 unvalidated (88,845 pending review, 357 rejected), with 518 reported for review.

Sample

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

Acesta este un pas important înainte.
Doresc să mulţumesc şi tuturor acestor femei.
Ați procedat foarte bine, dnă comisar.
Dacă nu este inversat, lista rămâne aceeaşi.
De asemenea, aceasta va influenţa preţul alimentelor.

Sources

Source	Sentences
sentence-collector	13,691 (99.5%)
Other	64 (0.5%)

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