Common Voice Spontaneous Speech 2.0 - Nubi

Nubi — Nubi (kcn)

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 Nubi (kcn). The dataset contains 2719 clips representing 14 hours of recorded speech (10 hours validated) from 26 speakers.

Data splits for modelling

Transcriptions

• Prompts: 120

• Duration: 13:58:05 [h:m:s]

• Avg. Transcription Len: 154

• Avg. Duration: 18.49[s]

• Valid Duration: 34896.636[s]

• Total hours: 13.97[h]

• Valid hours: 9.69[h]

Samples

Questions

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

Ribah al siya gi awunu kefin mariya fi abidu tijara?
Itakum gi legetu kubarin fi ummah takum kefin?
Ita gi ayinu kefin taalim fi adulu mustakbal ta usra fi ummah taki?
Taalim saadu usra taki kefin fi adulu kalama ta jumia ja kun sawasawa ma adala?
Fi teriga yatu ya taalim makkin usra taki fi kutu geeru fi ummah taki?

Responses

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

Yani riba gi awun maria al kan adul nafsi to kalas te ja al ana gi zidu fi kias al uwo endisi ya naade ,ya gi awun uwo gi zidu gi raba sunu nafsi to fi tijara to
Gijibu  kubarina dee gi gidam tena,dukur nagi negetu fogo ab nayin agder,yena gikutu kede omon sulina gidam
Walai wede kalam wai kwesi,wede kalam al kwesi al gikutu jami tena me umnma tena kede endelea,kede mon ligo more benefits al ba aun nafsi tena fi umm je umma
Taalim bumara te deeni gi awun anasi kunadil fi sika ab rabbana kutu
Nam taalim makkin usra tai ,fi geeru fi umma logo uwo gi zidu fii,rizigi,uwo gi zidu fi ilim,wu kaman gi zidu fi namna ta aruf badu,wedede kutu umma tai ligo zaidi fi taalim

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