# 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. `"/*"` for a single task). - `--exclude "glob1"`: skip matching files. - `--force-download`: re-download even if files already exist locally. - `--revision `: 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/", root="./bigym_plus")`.