Common Voice Spontaneous Speech 3.0 - Croatian

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/20/2026

Format: MP3

Size: 285.11 KB

Description

A collection of spontaneous responses to questions in Croatian (Hrvatski).

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

Hrvatski — Croatian (`hr`)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Croatian [Hrvatski - hr]. The dataset contains 4 clips representing 0.01 hours of recorded speech (0 hours validated) from 1 speakers.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

Bucket	Clips	%
Transcribed & Validated	0	0.0%
Transcribed & Pending	2	50.0%
Not transcribed	2	50.0%

Training splits

Bucket	Clips	%
Train	0	0.0%
Dev	0	0.0%
Test	0	0.0%
Unassigned	4	100.0%

Training split coverage: 0 of 0 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

Bucket	Clips	%
Validated	0	0.0%
Pending	2	100.0%
Edited	0	0.0%

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

Kako se u tvom domu reciklira otpad i koliko ti je to važno?
Koji bi hobi volio ili voljela isprobati, a još nisi?
Kako se u tvom kraju tradicionalno obilježava dolazak proljeća?
Kako si proveo ili provela svoj posljednji slobodan vikend?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

U našoj se kući sav otpad odvaja u tri kante, jedna za papir, druga za plastiku i treća za mješoviti otpad. No to sortiranje zna biti dosta naporno, naročito kad su u pitanju... ovoga... naročito kad je u pitanju mješovita ambalaža.
Volim ukrašavati kolače, ali za to se dosta rijetko nađe prigoda.

Fields

Each row of a tsv file represents a single audio clip, and contains the following information:

client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
- transcription-length - character per second under 3 characters per second
- speech-rate - characters per second over 30 characters per second
- short-audio - audio length under 2 seconds
- long-audio - audio length over 5 minutes

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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