Common Voice Spontaneous Speech 2.0 - Rutoro

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 2.0 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.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 16:46:26 [h:m:s]

• Avg. Transcription Len: 200

• Avg. Duration: 19.4[s]

• Valid Duration: 36131.184[s]

• Total hours: 16.77[h]

• Valid hours: 10.04[h]

Samples

Questions

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

Okora ki otakabyamire?
Kovidi ekatabangura eta bbiizinesi entaito omu Uganda?
Bulemeezi ki oburukurugirra mu kwetaba mu bikoosi ebibi omu kicweka kyaitu?
Habwaki kintu kikuru kuhuliiriza abantu abakuru?
Butumwa ki obu orukusobora kuheereza omuzaire owaine omwana owʼobwojo owagenzire omu bisimba?

Responses

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

Obu mba ntakabyamire mbanza ncumba ebyokulya ndya obu mmara kulya ndoraho obuzaano ha tiivi obumu nkira kurora amakuru obu mmara nyara ekitabu nsaba esaara nukwo mbyama
Kovidi ekatabangura bbiizinesi entaito mu Uganda obu abantu baalemerwe kutunga sente bakagura kandi bakalima n'okusuubura 
Kwetaba mu bikoosi ebibi mu kicweka kyange niharugamu engeso ezibi nk'okunywa enjaahi kunywa amarwa mairungi kurwana n'okutaha bantu ekitiinisa niharugamu n'obusuma 
Abantu bakuru nibaba baine ebintu bingi ebi bamanyire na habw'eki obu obahuliriza noosobora kubeegeraho ebintu ebirungi nibakuhabura engeso ez'omu bantu kandi nibakuheereza n'emiringo ei osobora okwerindiramu endwaire kwerinda kuba muntu w'omugaso mu nsi munu
Amwete abanze abaze na abaze nawe nk'omuzaire kakuba kirema amwetere abeebembezi babaze nawe basobole okumuhabura 

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

Get involved!

Community links

• Common Voice translators on Pontoon

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