Common Voice Spontaneous Speech 3.0 - Tashlhiyt

shi — Tashlhiyt (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.

Data splits for modelling

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

Audio clips

Training splits

Training split coverage: 0 of 2 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Tẓḍaṛt ad iyi tsawlt f tɣawsa lli kullu ihmman lli ak mlan ayt dark ?

2. Mad dark iɛzzan ad tskart iɣ dark txwa luqt ?

3. Mannik a s ar ak ittbayan lmustaqbal n ljiha nnk ɣid s yat 20 usggwas ?

4. Mad ittajan iclḥiyn tmyzn nɣ d xtalfn f wiyyad ?

5. Mad tga taɣawsa lli tɛllmt muʼxaran lli k yujjan ad tswingmt

Responses

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

1. 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.

2. Igh rbe7 agoudi nlflouss radzwargh s ayt tigmi ibba d inna d ait ma oulantni 3ad radzregh ghwili 9erebn

3. 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.

4. Iɣ ufiɣ ad sɛllmɣ kra n tɣawsa i lɛalam kullut, rad tg tutlayt Tamaziɣt.

5. Ikhssa dawla atcheje3 chabab adskern lmachari3 wana iran aysker kran lmechrou3 adasfkn imik nflouss

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

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

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