Datasets:

ARTPARK-IISc
/

Vaani

	---
	dataset_info:
	- config_name: audio/AndhraPradesh/Anantpur
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	- config_name: audio/AndhraPradesh/Chittoor
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	- config_name: audio/AndhraPradesh/Guntur
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	- config_name: audio/AndhraPradesh/Krishna
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	- config_name: audio/AndhraPradesh/Srikakulam
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	- config_name: audio/AndhraPradesh/Vishakapattanam
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	- config_name: audio/Bihar/Araria
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	- config_name: audio/Bihar/Begusarai
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	- config_name: audio/Bihar/Bhagalpur
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	- config_name: audio/Bihar/Darbhanga
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	- config_name: audio/Bihar/EastChamparan
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	- config_name: audio/Bihar/Gopalganj
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	- config_name: audio/Bihar/Jahanabad
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	- config_name: audio/Bihar/Supaul
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	- config_name: audio/Chhattisgarh/Balrampur
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	- config_name: audio/Chhattisgarh/Sukma
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	- config_name: audio/Goa/NorthSouthGoa
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	- config_name: audio/Jharkhand/Jamtara
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	- config_name: WestBengal_Kolkata
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	path: audio/WestBengal/Kolkata/train-*
	- config_name: WestBengal_Malda
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	path: audio/WestBengal/Malda/train-*
	- config_name: WestBengal_North24Parganas
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	path: audio/WestBengal/North24Parganas/train-*
	- config_name: WestBengal_PaschimMedinipur
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	path: audio/WestBengal/PaschimMedinipur/train-*
	- config_name: WestBengal_Purulia
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	- config_name: images
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	task_categories:
	- automatic-speech-recognition
	- text-to-speech
	pretty_name: Vaani
	license: cc-by-4.0
	language:
	- ne
	- as
	- ml
	- gu
	- or
	- en
	- ta
	- ur
	- te
	- kn
	- bn
	- hi
	size_categories:
	- 10M<n<100M
	---
	Project Vaani, by [IISc, Bangalore](https://iisc.ac.in/) and [ARTPARK](https://artpark.in/), is capturing the true diversity of India’s spoken languages to propel language AI technologies and content for an inclusive Digital India.

	We expect to create data corpora of over 150,000 hours of speech, part of which will be transcribed in local scripts, while ensuring linguistic, educational, urban-rural, age, and gender diversity (among other potential diversity characteristics). These diligently collected and curated datasets of natural speech and text from about 1 million people across all 773 districts of India will be open-sourced. The current version of the data is open-sourced here. Going forward, we hope to open source through platforms like Bhashini (under the National Language Translation Mission, MeiTY).

	This will boost the development of technologies such as automatic speech recognition (ASR), speech to speech translation (SST), and natural language understanding (NLU) that reflect the ground realities of how Indians speak.

	Google is funding the Project Vaani.


	VAANI dataset covers 54 languages collected form 80 districts across India. It contains 84617 speakers utterance saved in 9584933 files with duration of 15954.62 hours.
	Out this data, we have transcribed 554.69 hours of data spanning almost equally across the 80 districts.
	In the data collection process, we have used 129028 images to collect the audios.

	To learn more, please click [here](https://vaani.iisc.ac.in/)

	# 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 subset (formatted as {State}_{District}) you would like to access. Please refer to the dataset card to explore the available subsets. Additionally, you will need to use an access token, which you can obtain [here](https://huggingface.co/settings/tokens), to access the dataset.
	```pyhton
	from datasets import load_dataset
	dataset_subset = load_dataset("ARTPARK-IISc/VAANI", "Goa_NorthSouthGoa",token=<access_token>)
	```

	# Contact Us
	We are always open to new ideas and collaborations.
	Feel free to reach out to us at vaanicontact@gmail.com