Download data/Lung_Patient_53/OptimizationVoxels_MetaData.json from PortPy-Project/PortPy_Dataset: direct link, hf CLI and curl.
- Browser
- Download file 548 Bytes
-
https://huggingface.co/datasets/PortPy-Project/PortPy_Dataset/resolve/707800aeef905ad9edc4b2bcc970686cdf87501e/data/Lung_Patient_53/OptimizationVoxels_MetaData.json
- Command line
-
hf download hf://datasets/PortPy-Project/PortPy_Dataset@707800aeef905ad9edc4b2bcc970686cdf87501e/data/Lung_Patient_53/OptimizationVoxels_MetaData.json
-
curl -L -o OptimizationVoxels_MetaData.json https://huggingface.co/datasets/PortPy-Project/PortPy_Dataset/resolve/707800aeef905ad9edc4b2bcc970686cdf87501e/data/Lung_Patient_53/OptimizationVoxels_MetaData.json
548 Bytes
- Xet hash:
- caa93bc2bd2e038e5b5d623b55a642c2c18a146eb95fb9ec412be7d929d277e3
- Size of remote file:
- 548 Bytes
- SHA256:
- 7f9432ca734de57206457999ac9501dfa8781355abb87100d7fb415fcdede3fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.