Common Voice Spontaneous Speech 3.0 - Rutoro

ttj — Rutoro (ttj)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Rutoro [ttj - ttj]. The dataset contains 3100 clips representing 16.77 hours of recorded speech (10.03 hours validated) from 26 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: 1,882 of 1,882 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Abantu abʼomu kicweka kyawe bakora mirimo ki kutunga sente?

2. Ebyenyegesa bitumbwire bita enkurakurana omu kicweka kyawe?

3. Habwaki pikipiki hamu nʼobugaali nibyo ebiiruka ebirukukirayo kweyambisibwa abantu abʼomu bicweka byaitu biro bya hati?

4. Okora ki enjura obu eba neegwa?

5. Abeebembezi nibasobora bata okusemeza obuheereza obwʼebyenyegesa omu kyaro kyawe?

Responses

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

1. *Abazaire abamu baagumanganirwa kugira obugabe obu baba bali n'abaana baabo habookuba nibaba nibahurra batali mu bantu abee ab'emyaka yabo *

2. *Abantu b'omu kicweka kyaitu abamu kutaba n'emirimo kireesereho obulemeezi bw'amaani nambere okusanga abaingi bacwiremu kunywa amarwa gonka abandi baacwamu kugenda kukora ogw'obusuma abaisiki baacwamu kugenda kukora obwa malaaya ekyaro kyaburwa abakama ebintu byasisikararra kimu *

3. Obu mpurra obujwaahi nyegonyorra ngenda ndeetayo amaizi ha iziba obu mba nindugayo ngaruka nyine amaani kandi ngarwirwe buhyaaka rund ngenda mbungira munywani wange tubazaamu ngaruka

4. Omu bwire bwa nyenkyakara obu mara kwimuka nyeteekaniza naaba ha maiso nsinga amaino mara kusinga amaino ndoraho haraaba haroho ekyanyenkya mbanza nkirya rundi nkikwata mmara nyeyinganiza njwara nsimbura nduga muka

5. Abeebembezi b'amadiini batandikireho amasomero mbere abaana baitu bakusomera kandi abandi nibaheererra n'abaana abeebembezi b'amadiini bakozere eby'obuhabuzi abaana baitu ababaire mbarubata kubi bahabwirwe nukwo barubate kurungi baleke kusiisikara

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

Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

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