Common Voice Spontaneous Speech 3.0 - Ruuli

ruc — Ruuli (ruc)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Ruuli [ruc - ruc]. The dataset contains 2822 clips representing 17.75 hours of recorded speech (10.14 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: 1,659 of 1,659 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Omusaiza akairika mangu?

2. Mulimu ki ekyalo kyamu kyegukoore okuyambaku abeegi neʼkka zabwe omubyanyegeesya?

3. Bumanyisyoki obulanga okuwamu amaizi omubiri?

4. Mireki omusaiza jakulya okumuyambako okuba omwomi.

5. Abantu omukitundu kyamu banywi bamukago, nikyaba kituffu lwaki?

Responses

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

1. *Ebyanyegesya bigezereku okubba nga bikwegesya abantu obuzibu obuli omukwekuuba kini ni nikiyambaku abantu okubba nga bakwekumira amwei kibe nga kikubayamba okutumbula ebitundu byawabwe. *

2. Mubonera mu kukyusa bya mbalo ombona nentambula nenyisana jaba akwisana era awo omubona nti akyukire muno era atandikire okunyirira kubanga agaiza, akyusa engoye buli kaseera atandika okutambula n'eigolo igolo awo niwetegereza nti kituffu omwana wange oni akunyirira.

3. *Hmmm abasaiza tulina okwaba edi abasawu nibatuwa enkola engeri jetuyinza okwekeberesyamu okansa. *

4. Na namba emwei omugaso gwa kugema endwaire mubba mumaare okuzitorooca ekyakabiri mubba mufuukire abantu abaakola kubanga omulwaire ndoowo ngeri giyekoleramu mirimu gyegasa okugema kugasiza kimwe endwaire newuluka ekyali ewulukire omulundi gumwe tiwabbaawo te kwesisiigania kubanga mugemeire mu biseera.

5. *Omuntu yena yena omweniki ana takwendya kuba mu bantu aba nakasunguyira ate aba nebirowozo bingi *

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