CoolFace
Datasetpublicgated

shiprocket-ai/vaani-non-null

Vaani by Language — Non-Null Transcript Subset Processed output from ARTPARK-IISc/Vaani: transcript-not-null filtered, reorganized by language. Hours computed from WAV duration in each parquet (run compute_vaani_hours.py to regenerate). Non-null hours per language Language Hours Hindi 963.01 Bengali 154.39 Telugu 151.49 Kannada 151.42 Marathi 68.46 Odia 52.48 Chakma 49.81 Garo 47.33 Malayalam 41.90 Nepali 38.17 Assamese 30.35… See the full description on the dataset page: https://huggingface.co/datasets/shiprocket-ai/vaani-non-null.

sourceHugging Facecc-by-4.0updated 7mo agoView on Hugging Face
0likes11downloads

shiprocket-ai/vaani-non-null · main · files are served by the source, never re-hosted here

This repository is gated. The listing is public, but downloading a file means accepting the publisher’s terms at Hugging Face first — the links above take you there rather than around it.