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Open Source Data for AMD AI DevMaster Hackathon 202608

Upload to HuggingFace Hub

Upload the whole directory as a single dataset repo (replace YOUR_HF_USERNAME with your username):

export HF_TOKEN=hf_xxxxx 
hf upload WuChao-Cauchy/openSource_AMD_AI_DevMaster_Hackathon_202608 \
    /home/chao01.wu/BiGym_Dev/data/openSource_AMD_AI_DevMaster_Hackathon_202608 --repo-type=dataset

Create the dataset repo on the Hub first, or pass --create-pr to auto-create it.

Download from HuggingFace Hub

--local-dir copies real files to disk (no symlinks) and resumes by default — if interrupted, re-running the same command continues where it left off, without restarting from scratch.

Full download:

hf WuChao-Cauchy
/openSource_AMD_AI_DevMaster_Hackathon_202608 \
    --repo-type=dataset --local-dir ./bigym_plus --max-workers 8

Download only specific tasks (glob matches directory names):

huggingface-cli download WuChao-Cauchy
/openSource_AMD_AI_DevMaster_Hackathon_202608 \
    --repo-type=dataset --local-dir ./bigym_plus \
    --include "reach_target/*" "reach_target_dual/*"

Common options:

  • --max-workers N: concurrent download threads, default 8, can be raised on a good network.
  • --include "glob1" "glob2": download only matching files (e.g. "<task>/*" for a single task).
  • --exclude "glob1": skip matching files.
  • --force-download: re-download even if files already exist locally.
  • --revision <commit>: pin a specific commit / branch / tag.
  • --quiet: disable progress bars, print only the final path.
  • --cache-dir PATH: custom HF cache dir (default ~/.cache/huggingface).

After download, each task subdirectory is a complete lerobot v3.0 dataset, loadable via LeRobotDataset(repo_id="bigym_plus/<task>", root="./bigym_plus").