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Release Date: 9/17/2026
Format: MP3
Size: 15.40 MB
A collection of spontaneous responses to questions in Manx (Manx).
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.
gv)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Manx [Manx - gv]. The dataset contains 130 clips representing 0.76 hours of recorded speech (0 hours validated) from 1 speakers.
Manx is the indgenous Celtic language of the Isle of Man, closely related to Irish and Scottish Gaelic. It has used a unique orthography from at least the seventeenth century. It is spoken by at least 2,000 speakers today (2025).
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 0 | 0.0% |
| Transcribed & Pending | 0 | 0.0% |
| Not transcribed | 130 | 100.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 130 | 100.0% |
Training split coverage: 0 of 0 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 0 | 0.0% |
| Pending | 0 | 0.0% |
| Edited | 0 | 0.0% |
The Manx orthography used today is based on the Manx orthography of the Manx Bible of 1775, and the Cregeen Dictionary of 1838, although many of the diacritcs are omitted these days.
a â b c d e f g h i j k l m n o p q r s t ç h u v w y
There follows a randomly selected sample of questions used in the corpus.
Cre yn tradishoon share lhiat ayns dty heer?
Ayns cre'n aght t'ou litçheragh?
Cre'n aght t'ou reih giootyn son ny caarjyn ayd?
Cre'n ghreie ayns dty hie ta'n chooid smoo dy ymmyd jeant jeh?
Cre'n sorçh dy ghammanyn share lhiat?
There follows a randomly selected sample of transcribed responses from the corpus.
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
Rob Teare
David Allison
Daniel Quayle
Paul Rogers
Mozilla
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