Common Voice Scripted Speech 25.0 - Kidaw'ida

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 1.01 GB

Description

A collection of read speech recordings in Kidaw'ida (dav).

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

dav — Kidaw'ida (`dav`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Kidaw'ida [dav - dav]. The dataset contains 49630 clips representing 55.95 hours of recorded speech (9.31 hours validated) from 24 speakers, recorded from a text corpus of 31,892 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	-	-
female_feminine	Female, feminine	13,277 (26.8%)	9 (37.5%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	36,353 (73.2%)	19 (79.2%)

Gender declared: 13,277 of 49,630 clips (26.8%), 5 of 24 speakers (20.8%)

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	30,409 (61.3%)	3 (12.5%)
thirties	Thirties	4,932 (9.9%)	3 (12.5%)
fourties	Fourties	280 (0.6%)	2 (8.3%)
fifties	Fifties	506 (1.0%)	2 (8.3%)
sixties	Sixties	11,510 (23.2%)	4 (16.7%)
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	1,993 (4.0%)	18 (75.0%)

Age declared: 47,637 of 49,630 clips (96.0%), 6 of 24 speakers (25.0%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	8,264 (16.7%)
Invalidated	663 (1.3%)
Other	40,703 (82.0%)

Training splits

Split	Clips
Train	2,098 (25.4%)
Dev	1,276 (15.4%)
Test	1,004 (12.1%)

Training split coverage: 4,378 of 8,264 validated clips (53.0%)

The dataset contains 8264 validated, 663 invalidated, and 40703 unresolved clips. The average clip duration is 4.059 seconds.

Text corpus

Validated sentences: 11,773

Category	Count
Unvalidated sentences	20,119
Pending sentences	19,902
Rejected sentences	217
Reported sentences	11

The corpus contains 31,892 sentences: 11,773 validated and 20,119 unvalidated (19,902 pending review, 217 rejected), with 11 reported for review.

Sample

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

Wasilwa ni ndighi shwaa.
W'andu w'ose w'ienda nakio W'andu w'adaw'iobua.
Nasinda mana.
Diw'ose deko ikwanyikonyi
W'andu w'amu w'edukwa ni machi gha vua mbaa.

Sources

Source	Sentences
Myself	3,924 (33.3%)
Esther Nkrumah (Self)	3,501 (29.7%)
self	1,652 (14.0%)
Self Citation	1,367 (11.6%)
myself	552 (4.7%)
self citation	532 (4.5%)
Self	239 (2.0%)
Other	6 (0.1%)

Text domains

Code	Domain	Clips	Speakers
general	General	45,323 (91.3%)	23 (95.8%)
agriculture_food	Agriculture and Food	499 (1.0%)	18 (75.0%)
automotive_transport	Automotive and Transport	100 (0.2%)	11 (45.8%)
finance	Finance	304 (0.6%)	15 (62.5%)
service_retail	Service and Retail	1,218 (2.5%)	18 (75.0%)
healthcare	Healthcare	967 (1.9%)	17 (70.8%)
history_law_government	History, Law and Government	334 (0.7%)	15 (62.5%)
media_entertainment	Media and Entertainment	68 (0.1%)	8 (33.3%)
nature_environment	Nature and Environment	873 (1.8%)	16 (66.7%)
news_current_affairs	News and Current Affairs	86 (0.2%)	10 (41.7%)
technology_robotics	Technology and Robotics	75 (0.2%)	10 (41.7%)
language_fundamentals	Language Fundamentals	150 (0.3%)	7 (29.2%)

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