Datasets:
This dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 556 hours, covering 42 languages.
Language | Duration(Hrs) | Language | Duration(Hrs) | Language | Duration(Hrs) |
---|---|---|---|---|---|
Angika | 2.79 | Awadhi | 0.13 | Bagri | 0.06 |
Bajjika | 3.17 | Bearybashe | 0.14 | Bengali | 55.05 |
Bhatri | 0.05 | Bhili | 0.06 | Bhojpuri | 13.66 |
Bundeli | 0.57 | Chhattisgarhi | 11.62 | Garhwali | 3.23 |
Gondi | 0.13 | Gujarati | 0.01 | Halbi | 1.19 |
Harauti | 0.02 | Hindi | 292.49 | Jaipuri | 0.19 |
Kannada | 58.96 | Khari boli | 1.38 | Khortha | 1.22 |
Konkani | 2.9 | Kumaoni | 2.21 | Kurukh | 0.11 |
Kurumali | 0.03 | Magahi | 4.92 | Maithili | 13.88 |
Malvani | 0.94 | Marathi | 36.85 | Marwari | 6.21 |
Mewari | 0.08 | Nagpuri | 0.16 | Nepali | <0.01 |
Rajasthani | 3.86 | Sadri | 0.24 | Shekhawati | 0.08 |
Surgujia | 0.22 | Surjapuri | 0.04 | Tamil | 0.31 |
Telugu | 35.21 | Tulu | 1.74 | Urdu | 0.2 |
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>)
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