Common Voice Scripted Speech 25.0 - Zulu

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 7.59 MB


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Description

A collection of read speech recordings in Zulu (Zulu).

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

Zulu — Zulu (zu)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Zulu [Zulu - zu]. The dataset contains 203 clips representing 0.31 hours of recorded speech (0.02 hours validated) from 8 speakers, recorded from a text corpus of 20,699 sentences.

Language

Accents

CodeAccentClipsSpeakers
-80 (39.4%)3 (37.5%)

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.

CodeGenderClipsSpeakers
male_masculineMale, masculine--
female_feminineFemale, feminine35 (17.2%)1 (12.5%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say69 (34.0%)1 (12.5%)
-Unspecified99 (48.8%)6 (75.0%)

Gender declared: 104 of 203 clips (51.2%), 2 of 8 speakers (25.0%)

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.

CodeAgeClipsSpeakers
teensTeens--
twentiesTwenties104 (51.2%)2 (25.0%)
thirtiesThirties--
fourtiesFourties--
fiftiesFifties--
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified99 (48.8%)6 (75.0%)

Age declared: 104 of 203 clips (51.2%), 2 of 8 speakers (25.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated17 (8.4%)
Invalidated12 (5.9%)
Other174 (85.7%)

Training splits

SplitClips
Train15 (88.2%)
Dev-
Test2 (11.8%)

Training split coverage: 17 of 17 validated clips (100.0%)

The dataset contains 17 validated, 12 invalidated, and 174 unresolved clips. The average clip duration is 5.533 seconds.

Text corpus

Validated sentences: 1,320

CategoryCount
Unvalidated sentences19,379
Pending sentences19,379
Rejected sentences-
Reported sentences4

The corpus contains 20,699 sentences: 1,320 validated and 19,379 unvalidated (19,379 pending review, 0 rejected), with 4 reported for review.

Sample

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

  1. Ukuba nethemba kungakusiza kukho konke okwenzayo.

  2. Nika zibe mbili kanye nomphumela wazo ngasinye.

  3. Bese ubhala imisho emibili echaza umbono wakho.

  4. Sifuna kube nalokho kuvuleleka nokuchaza okucacile.

  5. Abanye abantu abaqondi ukuthi sisebenza kanjani.

Sources

SourceSentences
sentence-collector1,320 (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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Community links

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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

  1. 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