Datasets:
This dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 788 hours, covering 30 languages. This table represents the audio and transcription duration data for various languages.
Language | Angika | Awadhi | Bagri | Bajjika | Bearybashe | Bengali | Bhatri | Bhili | Bhojpuri | Bundeli | Chhattisgarhi | Garhwali | Gondi | Gujarati | Halbi | Hindi | Kannada | Khariboli | Khortha | Konkani | Kumaoni | Kurmali | Kurukh | Magahi | Maithili | Malvani | Marathi | Marwari | Rajasthani | Sadri | Santali | Shekhawati | Surgujia | Surjapuri | Tamil | Telugu | Tulu | Urdu |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trans. Duration(Hrs) | 3.53 | 0.24 | 0.06 | 3.51 | 0.17 | 80.96 | 0.05 | 0.16 | 21.89 | 0.72 | 17.61 | 7.24 | 0.44 | 0.01 | 1.93 | 368.78 | 89.16 | 1.39 | 1.74 | 3.34 | 2.21 | 0.03 | 0.22 | 5.55 | 19.67 | 1.06 | 54.73 | 7.99 | 9.66 | 0.85 | 0.09 | 0.08 | 0.64 | 0.25 | 0.39 | 76.71 | 3.09 | 1.55 |
How to use the data
You can load the dataset using the load_dataset function from the datasets library. When loading the dataset, you can specify which Language you would like to access. Additionally, you will need to use an access token, which you can obtain here, to access the dataset.
from datasets import load_dataset
dataset_subset = load_dataset("ARTPARK-IISc/Vaani-transcription-part", "Angika",token=<access_token>)
To learn more, please click here
Citation
If you use this data, please cite the following:
@misc{vaani2025,
author = {Indian Institute of Science (IISc) and ARTPARK},
title = {Capturing the Language Landscape for an Inclusive Digital India},
howpublished = {\url{https://vaani.iisc.ac.in/}},
year = {2025}
}
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