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--- |
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|
dataset_size: 99191416.0 |
|
- config_name: audio/Surgujia |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
|
dtype: string |
|
- name: gender |
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dtype: string |
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- name: state |
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dtype: string |
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- name: district |
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dtype: string |
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- name: transcript |
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dtype: string |
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- name: referenceImage |
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dtype: string |
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splits: |
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num_bytes: 59772670.0 |
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num_examples: 400 |
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- name: validation |
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num_bytes: 4483165.0 |
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num_examples: 54 |
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- name: test |
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num_bytes: 9995550.0 |
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num_examples: 74 |
|
download_size: 70565167 |
|
dataset_size: 74251385.0 |
|
- config_name: audio/Surjapuri |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
|
dtype: string |
|
- name: gender |
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dtype: string |
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- name: state |
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dtype: string |
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- name: district |
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dtype: string |
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dtype: string |
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dtype: string |
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splits: |
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num_bytes: 24669463.0 |
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num_examples: 163 |
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num_bytes: 1742593.0 |
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num_examples: 12 |
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- name: test |
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num_bytes: 3246478.0 |
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num_examples: 24 |
|
download_size: 28648470 |
|
dataset_size: 29658534.0 |
|
- config_name: audio/Tamil |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
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dtype: string |
|
- name: gender |
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dtype: string |
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- name: state |
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dtype: string |
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- name: district |
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dtype: string |
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dtype: string |
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splits: |
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num_bytes: 36507376.0 |
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num_examples: 153 |
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num_examples: 11 |
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- name: test |
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num_bytes: 5348536.0 |
|
num_examples: 22 |
|
download_size: 42704715 |
|
dataset_size: 45400843.0 |
|
- config_name: audio/Telugu |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
|
dtype: string |
|
- name: gender |
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dtype: string |
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- name: state |
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dtype: string |
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- name: district |
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dtype: string |
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- name: transcript |
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dtype: string |
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dtype: string |
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splits: |
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num_bytes: 7398356062.92 |
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num_examples: 34337 |
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num_bytes: 720090451.977 |
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num_examples: 3511 |
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- name: test |
|
num_bytes: 852179661.538 |
|
num_examples: 4406 |
|
download_size: 8813673878 |
|
dataset_size: 8970626176.435 |
|
- config_name: audio/Tulu |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
|
dtype: string |
|
- name: gender |
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dtype: string |
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- name: state |
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dtype: string |
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- name: district |
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dtype: string |
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- name: transcript |
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dtype: string |
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- name: referenceImage |
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dtype: string |
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splits: |
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- name: train |
|
num_bytes: 307123312.655 |
|
num_examples: 1647 |
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- name: validation |
|
num_bytes: 35670957.0 |
|
num_examples: 235 |
|
- name: test |
|
num_bytes: 33089123.0 |
|
num_examples: 206 |
|
download_size: 352673426 |
|
dataset_size: 375883392.655 |
|
- config_name: audio/Urdu |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: language |
|
dtype: string |
|
- name: gender |
|
dtype: string |
|
- name: state |
|
dtype: string |
|
- name: district |
|
dtype: string |
|
- name: transcript |
|
dtype: string |
|
- name: referenceImage |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 161565243.0 |
|
num_examples: 1125 |
|
- name: validation |
|
num_bytes: 2624091.0 |
|
num_examples: 11 |
|
- name: test |
|
num_bytes: 8912325.0 |
|
num_examples: 57 |
|
download_size: 178651412 |
|
dataset_size: 173101659.0 |
|
configs: |
|
- config_name: Angika |
|
data_files: |
|
- split: train |
|
path: audio/Angika/train-* |
|
- split: validation |
|
path: audio/Angika/validation-* |
|
- split: test |
|
path: audio/Angika/test-* |
|
- config_name: Awadhi |
|
data_files: |
|
- split: train |
|
path: audio/Awadhi/train-* |
|
- split: validation |
|
path: audio/Awadhi/validation-* |
|
- split: test |
|
path: audio/Awadhi/test-* |
|
- config_name: Bajjika |
|
data_files: |
|
- split: train |
|
path: audio/Bajjika/train-* |
|
- split: validation |
|
path: audio/Bajjika/validation-* |
|
- split: test |
|
path: audio/Bajjika/test-* |
|
- config_name: Bearybashe |
|
data_files: |
|
- split: train |
|
path: audio/Bearybashe/train-* |
|
- split: validation |
|
path: audio/Bearybashe/validation-* |
|
- split: test |
|
path: audio/Bearybashe/test-* |
|
- config_name: Bengali |
|
data_files: |
|
- split: train |
|
path: audio/Bengali/train-* |
|
- split: validation |
|
path: audio/Bengali/validation-* |
|
- split: test |
|
path: audio/Bengali/test-* |
|
- config_name: Bhojpuri |
|
data_files: |
|
- split: train |
|
path: audio/Bhojpuri/train-* |
|
- split: validation |
|
path: audio/Bhojpuri/validation-* |
|
- split: test |
|
path: audio/Bhojpuri/test-* |
|
- config_name: Bundeli |
|
data_files: |
|
- split: train |
|
path: audio/Bundeli/train-* |
|
- split: validation |
|
path: audio/Bundeli/validation-* |
|
- split: test |
|
path: audio/Bundeli/test-* |
|
- config_name: Chhattisgarhi |
|
data_files: |
|
- split: train |
|
path: audio/Chhattisgarhi/train-* |
|
- split: validation |
|
path: audio/Chhattisgarhi/validation-* |
|
- split: test |
|
path: audio/Chhattisgarhi/test-* |
|
- config_name: Garhwali |
|
data_files: |
|
- split: train |
|
path: audio/Garhwali/train-* |
|
- split: validation |
|
path: audio/Garhwali/validation-* |
|
- split: test |
|
path: audio/Garhwali/test-* |
|
- config_name: Halbi |
|
data_files: |
|
- split: train |
|
path: audio/Halbi/train-* |
|
- split: validation |
|
path: audio/Halbi/validation-* |
|
- split: test |
|
path: audio/Halbi/test-* |
|
- config_name: Hindi |
|
data_files: |
|
- split: train |
|
path: audio/Hindi/train-* |
|
- split: validation |
|
path: audio/Hindi/validation-* |
|
- split: test |
|
path: audio/Hindi/test-* |
|
- config_name: Kannada |
|
data_files: |
|
- split: train |
|
path: audio/Kannada/train-* |
|
- split: validation |
|
path: audio/Kannada/validation-* |
|
- split: test |
|
path: audio/Kannada/test-* |
|
- config_name: Khariboli |
|
data_files: |
|
- split: train |
|
path: audio/Khariboli/train-* |
|
- split: validation |
|
path: audio/Khariboli/validation-* |
|
- split: test |
|
path: audio/Khariboli/test-* |
|
- config_name: Khortha |
|
data_files: |
|
- split: train |
|
path: audio/Khortha/train-* |
|
- split: validation |
|
path: audio/Khortha/validation-* |
|
- split: test |
|
path: audio/Khortha/test-* |
|
- config_name: Konkani |
|
data_files: |
|
- split: train |
|
path: audio/Konkani/train-* |
|
- split: validation |
|
path: audio/Konkani/validation-* |
|
- split: test |
|
path: audio/Konkani/test-* |
|
- config_name: Kumaoni |
|
data_files: |
|
- split: train |
|
path: audio/Kumaoni/train-* |
|
- split: validation |
|
path: audio/Kumaoni/validation-* |
|
- split: test |
|
path: audio/Kumaoni/test-* |
|
- config_name: Kurukh |
|
data_files: |
|
- split: train |
|
path: audio/Kurukh/train-* |
|
- split: validation |
|
path: audio/Kurukh/validation-* |
|
- split: test |
|
path: audio/Kurukh/test-* |
|
- config_name: Magahi |
|
data_files: |
|
- split: train |
|
path: audio/Magahi/train-* |
|
- split: validation |
|
path: audio/Magahi/validation-* |
|
- split: test |
|
path: audio/Magahi/test-* |
|
- config_name: Maithili |
|
data_files: |
|
- split: train |
|
path: audio/Maithili/train-* |
|
- split: validation |
|
path: audio/Maithili/validation-* |
|
- split: test |
|
path: audio/Maithili/test-* |
|
- config_name: Malvani |
|
data_files: |
|
- split: train |
|
path: audio/Malvani/train-* |
|
- split: validation |
|
path: audio/Malvani/validation-* |
|
- split: test |
|
path: audio/Malvani/test-* |
|
- config_name: Marathi |
|
data_files: |
|
- split: train |
|
path: audio/Marathi/train-* |
|
- split: validation |
|
path: audio/Marathi/validation-* |
|
- split: test |
|
path: audio/Marathi/test-* |
|
- config_name: Marwari |
|
data_files: |
|
- split: train |
|
path: audio/Marwari/train-* |
|
- split: validation |
|
path: audio/Marwari/validation-* |
|
- split: test |
|
path: audio/Marwari/test-* |
|
- config_name: Rajasthani |
|
data_files: |
|
- split: train |
|
path: audio/Rajasthani/train-* |
|
- split: validation |
|
path: audio/Rajasthani/validation-* |
|
- split: test |
|
path: audio/Rajasthani/test-* |
|
- config_name: Sadri |
|
data_files: |
|
- split: train |
|
path: audio/Sadri/train-* |
|
- split: validation |
|
path: audio/Sadri/validation-* |
|
- split: test |
|
path: audio/Sadri/test-* |
|
- config_name: Surgujia |
|
data_files: |
|
- split: train |
|
path: audio/Surgujia/train-* |
|
- split: validation |
|
path: audio/Surgujia/validation-* |
|
- split: test |
|
path: audio/Surgujia/test-* |
|
- config_name: Surjapuri |
|
data_files: |
|
- split: train |
|
path: audio/Surjapuri/train-* |
|
- split: validation |
|
path: audio/Surjapuri/validation-* |
|
- split: test |
|
path: audio/Surjapuri/test-* |
|
- config_name: Tamil |
|
data_files: |
|
- split: train |
|
path: audio/Tamil/train-* |
|
- split: validation |
|
path: audio/Tamil/validation-* |
|
- split: test |
|
path: audio/Tamil/test-* |
|
- config_name: Telugu |
|
data_files: |
|
- split: train |
|
path: audio/Telugu/train-* |
|
- split: validation |
|
path: audio/Telugu/validation-* |
|
- split: test |
|
path: audio/Telugu/test-* |
|
- config_name: Tulu |
|
data_files: |
|
- split: train |
|
path: audio/Tulu/train-* |
|
- split: validation |
|
path: audio/Tulu/validation-* |
|
- split: test |
|
path: audio/Tulu/test-* |
|
|
|
- config_name: Urdu |
|
data_files: |
|
- split: train |
|
path: audio/Urdu/train-* |
|
- split: validation |
|
path: audio/Urdu/validation-* |
|
- split: test |
|
path: audio/Urdu/test-* |
|
license: cc-by-4.0 |
|
task_categories: |
|
- automatic-speech-recognition |
|
language: |
|
- hi |
|
- kn |
|
- te |
|
- bn |
|
- ta |
|
- gu |
|
--- |
|
This dataset is part of the [Vaani dataset](https://huggingface.co/datasets/ARTPARK-IISc/Vaani) 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](https://huggingface.co/security-checkup?next=%2Fsettings%2Ftokens), to access the dataset. |
|
```pyhton |
|
from datasets import load_dataset |
|
dataset_subset = load_dataset("ARTPARK-IISc/Vaani-transcription-part", "Angika",token=<access_token>) |
|
``` |
|
|
|
To learn more, please click [here](https://vaani.iisc.ac.in/) |
|
|
|
|
|
# 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} |
|
} |
|
``` |
|
# Contact Us |
|
We are always open to new ideas and collaborations. |
|
Feel free to reach out to us at [email protected] |