📢 Update (08 October 2026): The dataset has been updated with the following changes:

Transcription corrections: Refined part of the transriptions.

Language normalization: Language names have been normalized .

Increased duration: The total transcribed speech duration has increased from 2048 to 2122 hours.

This dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 2122.20 hours, covering 86 languages. This table represents the audio and transcription duration data for various languages.

Language	Angami	Angika	Ao	Assamese	Awadhi	Bagri	Bajjika	Bearybashe	Bengali	Bhatri	Bhili	Bhojpuri	Bundeli	Chakhesang	Chakma	Chhattisgarhi	English	Galo	Garhwali	Garo	Gondi	Gujarati	Hajong	Halbi	Harauti	Haryanvi	Hindi	IduMishmi	Jaipuri	Kannada	Karbi	Kashmiri	Khariboli	Khortha	Kokborok	Konkani	Kuki	Kumaoni	Kurmali	Kurukh	Lambani	Liangmai	Lotha	Magahi	Maithili	Malayalam	Malvani	Manipuri	Marathi	Marwari	Mewari	Mewati	Mizo	Nagamese	Nepali	Nyishi	Odia	Phom	Powari	Punjabi	Rajasthani	Rajbanshi	Rengma	Rongmei	Sadri	Sambalpuri	Sangtam	Santali	Shekhawati	Sindhi	Sumi	Surgujia	Surjapuri	Sylheti	Tagin	Tamil	Tangkhul	Telugu	Thadou	Tulu	Urdu	Vaiphei	Wagdi	Wancho	Yimchunger	Zeme
Trans. Duration(H)	0.19	4.49	0.55	33.43	0.31	0.06	5.04	0.17	162.42	0.05	0.16	26.60	0.85	0.46	49.21	17.69	22.46	0.05	8.77	47.11	0.41	19.26	0.05	2.18	0.02	0.25	1003.78	1.06	0.20	151.12	0.63	0.06	1.55	3.67	3.79	3.98	0.00	2.54	0.07	0.22	0.02	0.05	0.07	6.47	20.84	40.52	1.04	0.46	68.09	9.03	0.04	0.04	20.67	26.16	38.14	0.12	51.20	0.02	0.13	20.42	12.06	0.02	0.50	0.29	0.96	0.21	0.17	0.12	0.08	0.04	1.63	0.63	0.25	0.06	0.12	24.35	0.30	184.48	0.06	3.03	2.31	0.02	0.03	11.85	0.13	0.06

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{pulikodan2026vaanicapturinglanguagelandscape,
      title={VAANI: Capturing the language landscape for an inclusive digital India}, 
      author={Sujith Pulikodan and Abhayjeet Singh and Agneedh Basu and Nihar Desai and Pavan Kumar J and Pranav D Bhat and Raghu Dharmaraju and Ritika Gupta and Sathvik Udupa and Saurabh Kumar and Sumit Sharma and Vaibhav Vishwakarma and Visruth Sanka and Dinesh Tewari and Harsh Dhand and Amrita Kamat and Sukhwinder Singh and Shikhar Vashishth and Partha Talukdar and Raj Acharya and Prasanta Kumar Ghosh},
      year={2026},
      eprint={2603.28714},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2603.28714}, 
}