ARTPARK-IISc/Vaani-transcription-part

This dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 2041.54 hours, covering 59 languages. This table represents the audio and transcription duration data for various languages.

Language	Angami	Angika	Ao	Assamese	Awadhi	Bajjika	Bearybashe	Bengali	Bhili	Bhojpuri	Bundeli	Chakhesang	Chakma	Chhattisgarhi	English	Garhwali	Garo	Gondi	Gujarati	Halbi	Haryanvi	Hindi	IduMishmi	Kannada	Kashmiri	Karbi	Khariboli	Khortha	Kokborok	Konkani	Kumaoni	Kurukh	Magadhi	Maithili	Malvani	Malayalam	Malvani	Manipuri	Marathi	Marwari	Mizo	Nagamese	Nepali	Nyishi	Odia	Punjabi	Rajasthani	Rengma	Rongmei	Sadri	Sambalpuri	Santali	Sumi	Surgujia	Surjapuri	Tagin	Tamil	Telugu	Tulu	Urdu	Wancho
Trans. Duration(H)	0.17	3.58	0.47	30.35	0.28	5.05	0.18	154.39	0.16	23.78	0.82	0.38	49.81	17.61	22.85	8.80	47.33	0.42	19.48	2.21	0.25	963.04	1.08	151.42	0.34	0.64	1.38	3.68	3.81	3.99	2.55	0.23	6.48	19.78	1.05	41.90	1.04	0.45	68.46	9.04	20.74	23.75	38.17	0.12	52.56	21.70	12.08	0.50	0.28	0.96	0.21	0.11	1.54	0.63	0.25	0.12	24.34	159.19	3.05	1.89	11.91

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       = {VAANI Team},
  title        = {VAANI: Capturing the Language Landscape for an Inclusive Digital India (Phase 1)},
  howpublished = {\url{https://vaani.iisc.ac.in/}},
  year         = {2025}
}

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