Loading datasets...
Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 35.52 MB
Share
A collection of spontaneous responses to questions in Tashlhiyt (shi).
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.
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.
shi)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Tashlhiyt [shi - shi]. The dataset contains 230 clips representing 1.76 hours of recorded speech (0 hours validated) from 10 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 2 | 0.9% |
| Transcribed & Pending | 4 | 1.7% |
| Not transcribed | 224 | 97.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 230 | 100.0% |
Training split coverage: 0 of 2 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2 | 33.3% |
| Pending | 4 | 66.7% |
| Edited | 1 | 16.7% |
There follows a randomly selected sample of questions used in the corpus.
Tẓḍaṛt ad iyi tsawlt f tɣawsa lli kullu ihmman lli ak mlan ayt dark ?
Mad dark iɛzzan ad tskart iɣ dark txwa luqt ?
Mannik a s ar ak ittbayan lmustaqbal n ljiha nnk ɣid s yat 20 usggwas ?
Mad ittajan iclḥiyn tmyzn nɣ d xtalfn f wiyyad ?
Mad tga taɣawsa lli tɛllmt muʼxaran lli k yujjan ad tswingmt
There follows a randomly selected sample of transcribed responses from the corpus.
Ssaɛt ad riɣ ad ftuɣ s kra n mani lliɣ tlla bahra ṭṭabiɛa, llan waman ig iyt lḥal asif nɣ d lbḥṛ. Riɣ ad ka ftuɣ s ɣinn bac ad ka gis rtaḥɣ acku ssaɛt ad, ɣayann ad iyi ixssan.
Igh rbe7 agoudi nlflouss radzwargh s ayt tigmi ibba d inna d ait ma oulantni 3ad radzregh ghwili 9erebn
Iɣ ad sbadlɣ yat lḥajt, rad tg lmajaɛa, ad sul ur tɣama ɣ ddunit ad, acku gigan n middn ur a bahra cttan ɣiklli ran, d msakn ar ka ttɛicn s imikk.
Iɣ ufiɣ ad sɛllmɣ kra n tɣawsa i lɛalam kullut, rad tg tutlayt Tamaziɣt.
Ikhssa dawla atcheje3 chabab adskern lmachari3 wana iran aysker kran lmechrou3 adasfkn imik nflouss
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
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.
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