Common Voice Spontaneous Speech 1.0 - Tooro

Rutoro — Rutoro (ttj)

This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!

This datasheet is for version 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Rutoro (ttj). The dataset contains 3113 clips representing 17 hours of recorded speech (11 hours validated) from 26 speakers.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, frequency refers to the number of clips annotated with this gender.

Age

Self-declared age information, frequency refers to the number of clips annotated with this age band.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 60386832[ms]

• Avg. Transcription Len: 120

• Avg. Duration: 19.4[s]

• Valid Duration: 36131.18[s]

• Total hours: 16.77[h]

• Valid hours: 10.04[h]

Questions

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

Omwebembezi yaakukozere ki obu harukuba haroho obulemeezi omu kicweka kyaitu?
Okora ki obu oyehurraamu oburwaire?
Habwaki kintu kikuru kukorra hamu omu kicweka kyaitu?
Bulemeezi ki obwʼamaani obu abalimi abʼomu kicweka kyawe barukukira kutangatangana?
Okora ki enjura obu eba neegwa?

Responses

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

Aho nkira kusoma ebitabu nkira kugenda omu ndimiro zange n'okutereekereza emirimo yange ei mba ntakozere
Nitusobora kuyamba abantu abatarukwesobora mu kicweka kyaitu obu nitubaha engoye ntubaha n'ebyetaago ebindi ebi bakwetaagisa obumu ntusobora kubaha sente nukwo basobole okwegurra ebintu ebi bakwetaaga n'okubahabura hamu n'okubahuumuza
Abantu abarukukira obwingi mu kiikaro kyaitu nibakira muno kukozesa obu rreediyozi baitu abake noosanga nn baine za televizyoni baitu kukira muno abantu abarukukira obwingi mu kiikaro kyaitu nibakira muno kweyambisa rrediyo hati haroho n'abandi abantu abarukukira muno kweyambisa n'amasimu okurora baatunga amakuru mu kicweka kyaitu
Kintu kikuru muno kwegesa ensinganto ha kahuka ka siliimu habwokuba ensinganto nizo mango ensinganto zitaroho nyenkya yaitu nayo teroho na habweki kikuru muno kwegesa ensinganto ha kahuka ka siliimu ebirungi ebirumu n'ebibi byayo babimanye kara baikale nibeetantara

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 30 seconds

Community links

• Common Voice translators on Pontoon

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 demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2