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Release Date: 9/17/2026
Format: MP3
Size: 167.18 MB
A collection of spontaneous responses to questions in Alsatian (Elsassisch).
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.
gsw)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Alsatian [Elsassisch - gsw]. The dataset contains 1350 clips representing 8.48 hours of recorded speech (0.62 hours validated) from 84 speakers.
Elsassisch (Alsatian in English, Alsacien in French) is a language spoken in the Alsace region in the East of France. As of 2022, 46 % of the population of the region declares speaking Alsatian. The term Alsatian refers to a linguistic continuum that includes varieties of Alemannic and Franconian. It shares the Alemannic language family with Swiss German and the Franconian language family with Luxembourgish.
Note on the language code : There is currently no language code for specifically Alsatian. GSW is the code of Swiss German. However, the Common Voice community for Swiss German has chosen to be included under the umbrella of German, and thus isn't using the language code. It has been agreed to use GSW for Alsatian in the context of Common Voice. This does not mean that Alsatian is the same as Swiss German (even if some features are shared), and care should be taken to not mix up the two languages.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 157 | 11.6% |
| Transcribed & Pending | 1,087 | 80.5% |
| Not transcribed | 106 | 7.9% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,350 | 100.0% |
Training split coverage: 0 of 157 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 157 | 12.6% |
| Pending | 1,087 | 87.4% |
| Edited | 320 | 25.7% |
There follows a randomly selected sample of questions used in the corpus.
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 useraudio_id - numeric id for audio fileaudio_file - audio file nameduration_ms - duration of audio in millisecondsprompt_id - numeric id for promptprompt - question for usertranscription - transcription of the audio responsevotes - number of people that who approved a given transcriptage - age of the speaker1gender - gender of the speaker1language - language namesplit - for data modelling, which subset of the data does this clip pertain tochar_per_sec - how many characters of transcription per second of audioquality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per secondspeech-rate - characters per second over 30 characters per secondshort-audio - audio length under 2 secondslong-audio - audio length over 5 minutesnon-allowed-script - transcription contains characters from a writing system not associated with the languagemixed-script-words - a single word contains characters from multiple writing systemsmixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only oneThe launch of this language on Common Voice was part of Défi Inria COLaF, which was financed by Plan National de Recherche en Intelligence Artificielle.
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