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Release Date: 9/17/2026
Format: MP3
Size: 365.90 MB
A collection of spontaneous responses to questions in Ruuli (Ruuli).
Restrictions/Special Constraints
None provided.
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 is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Ruuli [Ruuli - ruc]. The dataset contains 2822 clips representing 17.75 hours of recorded speech (10.14 hours validated) from 26 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,659 | 58.8% |
| Transcribed & Pending | 0 | 0.0% |
| Not transcribed | 1,163 | 41.2% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,203 | 42.6% |
| Dev | 193 | 6.8% |
| Test | 263 | 9.3% |
| Unassigned | 1,163 | 41.2% |
Training split coverage: 1,659 of 1,659 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,659 | 100.0% |
| Pending | 0 | 0.0% |
| Edited | 181 | 10.9% |
There follows a randomly selected sample of questions used in the corpus.
Meereki josinga okolesya?
Wali oyabireku omunsi ejindi, nikyaba kituffu, Nsi ki?
Abantu omukitundu kyamu banywi bamukago, nikyaba kituffu lwaki?
Kiki ekirigiraku abantu okukwatibwa akasubba era ketangiirwa katyai?
Kiki ekirigiraku omuno abaana abato obutabba bajuuti?
There follows a randomly selected sample of transcribed responses from the corpus.
Omukali akwonca alina okunywa obuugi omulimu amatai,amatai gonka umm okulya emmere koba nka uum ebinyeebwa k'ebyo nijo mmere einza okumwongeramu okubba n'amabeere okwonca omwana.
*Haaa ati okwewala okufuna obuzibu nga oli nda ekikusooka haa bba munywani wa dwaliro nga buli lw'okwewuraku nga oli mulwaire noyaba omudwaliro ekyakabiri noba nenda ebya ebya bwenzi byewale zwa okubwenzi okwendya oni noddi nga oli nda tikigambo kisai naye bba munywani wa dwaliro ate te wewala okwetiika ebizito ebyakalilirye abasaiza abaduuli twege okuyamba abakazzi beyisye tubayambeku emirumu okuboneka nga uhhm tibakwetika bizito muno tubayambeku emirumu lema kulya buli kyosangire nga oli nda lema kunywa mwenge to to tonywa bitaaba nga oli nda ebintu ebyankola nka eyo oyinza okubireka *
Ha kyamugaso muno abaana ba bwala okwaba okusomero kubanga nokuloleera e government ya museveni eriku nololeera right right prime minister Robinah Nabbanja mukyala haa vice president Jesca Alupo mukyala so kyamugaso muno era nkukubiriza abaala ababeire babe nga okusomesya abaana ba bwala tetubasosola
Ebyanyegesya byongeire okutusomesya okumanya endwaire e ni zitukwatibwaamu ngeri netuzitusi n'engeri bwetuluna okuzizeesamu ekyo kitu kituyambire muno
Tebakyasaba nk'eira omuntu nakubba nga alinaku agadyoli kaakkwendya ak'eiguula n'atalinde kusaba n'empindukainduka yeyongeire mweka .
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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