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Release Date: 9/17/2026
Format: MP3
Size: 274.04 MB
A collection of spontaneous responses to questions in Rutoro (Rutoro).
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.
ttj)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Rutoro [Rutoro - ttj]. The dataset contains 3100 clips representing 16.77 hours of recorded speech (10.03 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 | 1,882 | 60.7% |
| Transcribed & Pending | 0 | 0.0% |
| Not transcribed | 1,218 | 39.3% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,346 | 43.4% |
| Dev | 255 | 8.2% |
| Test | 281 | 9.1% |
| Unassigned | 1,218 | 39.3% |
Training split coverage: 1,882 of 1,882 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,882 | 100.0% |
| Pending | 0 | 0.0% |
| Edited | 783 | 41.6% |
There follows a randomly selected sample of questions used in the corpus.
Kovidi ekatalibaniza eta ebyenyegesa omu kicweka kyawe?
Nitusobora tuta kwegesa abaana ebyʼohangwa bwaitu?
Habwaki kintu kikuru muno abasaija hamu nʼabakazi okwekebeza akahuka ka siliimu?
Habwaki kikuru kukeehya ha sukaali ei turukunywa kutunga obwomeezi oburungi?
Nitusobora tuta kuyamba abantu abatarukwesobora omu kicweka kyaitu?
There follows a randomly selected sample of transcribed responses from the corpus.
*Mu kwetaba mu bikoosi ebibi mu kicweka kyaitu abaana nibarugwamu obusuma abakukira obwingi nibarubata ekiro nibatandika kwiba kandi n'abaisiki nikibarugiramu kutwekwa bakaruga n'omu masomero bakazaara bali bato *
Kutuma abantu ekitiinisa omu kicweka kyaitu ntusemerra kuba bahulizi ntusemerra kuba kyokurorraaho kandi tukole ebi ebi turagiirwe kukora omu kiikaro kyaitu
*Mikoro ei tukora tusemeriire kuba hamu nk'okubaho orufu tukwatanize tube hamu tube ntusaasa n'omuntu ogu obu buraaba bugenyi tukole hamu kandi tuyambengana mu mukoro ogu *
Omuzaire abaana baawe oine kubateererra ngu ebikoosi ebibi biinemu obuzibu obateererre ngu mu bikoosi tiharugamu karungi ngu byona ebirugamu bibi
Kintu kikuru kukorra hamu mu kicweka kyaitu habwokuba okukorra hamu kuleeta enkurakurana mu kicweka kyaitu kandi kukorra hamu kwihamu obugara kandi kukorra hamu nootungamu amagezi amahyaka ag'okuba otamanyire kandi kukorra hamu nuho haruga obugaiga bw'abaana kusoma amagezi noiha kuli na kunu abaana noobasomesa
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