This dataset consists of sentences tagged as offensive-language in the version 25.0 release of Mozilla Common Voice in Catalan.

The sentences are provided with the aim that they promote the development of offensive language detection in Catalan.

A dataset for text-based language identification of 19 Million sentences from over 300 languages taken from Mozilla Common Voice scripted (v23) and spontaneous (v1) speech projects.

A bundle of the held-out test data for the Mozilla Common Voice Spontaneous Speech ASR shared task.

A collection of read speech recordings in Aragonese (Aragonés).

A collection of read speech recordings in Wakhi (Wakhi (Wuk̃hikwor)).

A collection of read speech recordings in Estonian (eesti).

A collection of read speech recordings in Dagbani (Dagbanli).

A collection of read speech recordings in Romansh Sursilvan (romontsch sursilvan).

A collection of read speech recordings in Kabyle (Taqbaylit).

A collection of read speech recordings in Urdu (اردو).

A collection of read speech recordings in Hindi (हिंदी).

An ASR dataset of Zacatlán-Ahuacatlán-Tepetzintla (Western Sierra Puebla) Nahuatl, ISO 639-3 nhi. This is a derivative work of the Zacatlán Tepetzintla Nahuatl Audio and Transcriptions datasets. It consists of the subset of larger audio dataset with transcriptions (approximately 14 hours) converted to the Mozilla Common Voice Scripted Speech format. The original stereo audio has been split and aligned with the parsed transcriptions.

This dataset is a machine-learning-ready subset of the INEL Dolgan Corpus (Version 2.0), processed specifically for Automatic Speech Recognition (ASR) / Speech-to-Text (STT) training. It translates the highly detailed EXMARaLDA XML annotations into the standard tabular layout utilized by Mozilla Common Voice. The dataset comprises 13 hours and 5 minutes of perfectly aligned supervised speech data (10,609 individual clips) across recordings spanning from the 1970s to 2017. It features demographic metadata where available, and prioritizes Cyrillic transcriptions while falling back to Latin or Phonological tiers to ensure complete text coverage for acoustic modeling.

A collection of spontaneous responses to questions in Russian (Русский).

A collection of read speech recordings in Russian (Русский).

A collection of read speech recordings in Mongolian (Монгол хэл).

A collection of read speech recordings in Adyghe (Адыгабзэ).

A collection of read speech recordings in Indonesian (Bahasa Indonesia).

A collection of read speech recordings in Kalenjin (kln).

A collection of spontaneous responses to questions in Kuku (ukv).