License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 360.93 MB
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A collection of spontaneous spoken phrases in Ruuli.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
ruc)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 Ruuli (ruc). The dataset contains 2864 clips representing 18 hours of recorded
speech (11 hours validated) from 26 speakers.
| Split | Count |
|---|---|
| Train | 1054 |
| Test | 327 |
| Dev | 290 |
Prompts: 120
Duration: 17:48:44 [h:m:s]
Avg. Transcription Len: 222
Avg. Duration: 22.39[s]
Valid Duration: 36746.388[s]
Total hours: 17.81[h]
Valid hours: 10.21[h]
There follows a randomly selected sample of questions used in the corpus.
Tukole tutyai singa tuba nomuntu alina obumanyisyo bwa kasuuba omukitundu kyaiswe?
Nyinza ntyai okulwanisya okweralikira okukuzwa omubizibu byabulizo?
Ngeriki ebyanyegeesya jebikuyambireemu okwiciirya ebirubirwa byamu nkoʼmuntu oba nke ekka?
Nyinza ntyai okukendeeza obulumi nga ndi munsonga?
Abasaiza bayinza kola batyai okwekeberesya okansa wabusaiza?
There follows a randomly selected sample of transcribed responses from the corpus.
Aa enyembo zensinga okwendya okuwuliirya,enyembo z'abaana abaluuli,aaa zinyumira muno engeri nindi omuluuli naddala tulinawo omwembi o Kaye aa enyembo zamwe ayemba zamakulu weena nobbanga amazima obona nga omubuduuli tulina abaana abemba so enyembo zini ezaa az'abaana abaduuli zinyuma okuwuliirya engeri nendi omuluuli
Okwiawo okwelaliikiira omubizibu bya birowoozo olina okubba nga okkola,olina okubba nga olina emirimu gyokutambulya,olina okubba nga weicaaku byokwendwa olina okubba nga buli kimwe okusobola okuceicaaku
Ebyanyegesya binjunire nti asomere taira kuntonga kibanja lwasomere nayega olwo mmuwaire ekibanja, mmuwaire eitungo
Naddala abakazi nibabba omu nsonga zaabwe ezo e nga alina obulumi obwa maani ayaba omwirwaro erya Gavumenti nanyonyola omusawo ngeri na kulumizibwamu deni nabba nga akusobola okufuna obujanjabi.
Haaa abasaiza bayina kwaba nibabona omusawu omutendeke nadala owa owa byabyomi kuba abasaiza bani omusawo oyo ayina kuba nga mutendeke nga akumanya oku byabutonde bwa basaiza
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
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.
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