Datasets:

azeem-ahmed
/

Common_Voice_Corpus_22_0_Urdu

license: cc0-1.0
task_categories:
  - automatic-speech-recognition
language:
  - ur
tags:
  - urdu
  - asr
  - stt
  - Datasets
pretty_name: Common Voice Corpus 22.0 Urdu

Common Voice Corpus 22.0 - Urdu

This dataset contains the Urdu subset of the Mozilla Common Voice 22.0 corpus, released in June 2025.
It consists of crowdsourced speech recordings and their corresponding text transcriptions, collected to support open-source speech technology.

Dataset Summary

The Common Voice Corpus 22.0 Urdu dataset provides high-quality speech data for automatic speech recognition (ASR), speaker identification, and linguistic research in Urdu.
It includes audio clips contributed by native speakers along with validated text transcriptions.

This subset is specifically for Urdu (ur) and includes:

Audio clips (clips/) in .mp3 format.
Metadata TSV files with speaker demographics, sentence IDs, and validation flags.

Supported Tasks

Automatic Speech Recognition (ASR)
Speech-to-Text (STT)
Speaker Analysis
Linguistic Research

Dataset Structure

Files

clips/ → Directory of .mp3 audio clips.
train.tsv → Training split.
dev.tsv → Development split.
test.tsv → Test split.
validated.tsv → All validated recordings.
invalidated.tsv → Invalidated clips.
other TSV files → Additional metadata.

Usage

from datasets import load_dataset

dataset = load_dataset("azeem-ahmed/Common_Voice_Corpus_22_0_Urdu")
print(dataset)

Languages

Urdu (ur)

Citation

If you use this dataset in your research, please cite Mozilla Common Voice:

@inproceedings{commonvoice2020,
  title={Common Voice: A Massively-Multilingual Speech Corpus},
  author={Ardila, Rosana and Branson, Megan and Davis, Kelly and Kohler, Michael and Meyer, Josh and Henretty, Reuben and Morais, Francis Tyers and Tyers, Francis M},
  booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},
  pages={4218--4222},
  year={2020},
  organization={European Language Resources Association}
}