Download data/train_folds.csv from Mithilss/wharton_data: direct link, hf CLI and curl.
- Browser
- Download file 326 MB
-
https://huggingface.co/datasets/Mithilss/wharton_data/resolve/main/data/train_folds.csv
- Command line
-
hf download hf://datasets/Mithilss/wharton_data/data/train_folds.csv
-
curl -L -o train_folds.csv https://huggingface.co/datasets/Mithilss/wharton_data/resolve/main/data/train_folds.csv
326 MB
- Xet hash:
- 761a5f6cb6cd274a03ab6b6ca2820fab0f4146180d5e340276a0aefe39885b61
- Size of remote file:
- 326 MB
- SHA256:
- fe550e1f5c2461401227d27a856e709e0a29df95835e83e2fb89ab0cb6fa82b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.