Datasets:
Download web/robocasa/open_drawer.mp4 from MLL-Lab/embodied-exam-data: direct link, hf CLI and curl.
- Browser
- Download file 284 kB
-
https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/web/robocasa/open_drawer.mp4
- Command line
-
hf download hf://datasets/MLL-Lab/embodied-exam-data/web/robocasa/open_drawer.mp4
-
curl -L -o open_drawer.mp4 https://huggingface.co/datasets/MLL-Lab/embodied-exam-data/resolve/main/web/robocasa/open_drawer.mp4
284 kB
- Xet hash:
- 78b586463016e70c6eb7e735d3a6db00bc6e938f1ea207ca0ad3cfadc6741412
- Size of remote file:
- 284 kB
- SHA256:
- ced736247a88fc2471484d44583fa7b29e1d15ec02452d1cbc1616a7a07858db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.