Download push.py from ATTY57/toolfault-bench: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/datasets/ATTY57/toolfault-bench/resolve/main/push.py
- Command line
-
hf download hf://datasets/ATTY57/toolfault-bench/push.py
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curl -L -o push.py https://huggingface.co/datasets/ATTY57/toolfault-bench/resolve/main/push.py
1.07 kB
| """Upload ToolFault-Bench to the Hugging Face Hub. | |
| pip install -U huggingface_hub | |
| hf auth login # older versions: huggingface-cli login (needs a token with write access) | |
| python push.py # public dataset at ATTY57/toolfault-bench | |
| python push.py --private # upload privately first to review the page | |
| """ | |
| import argparse | |
| import os | |
| from huggingface_hub import HfApi | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--repo", default="ATTY57/toolfault-bench") | |
| ap.add_argument("--private", action="store_true") | |
| a = ap.parse_args() | |
| here = os.path.dirname(os.path.abspath(__file__)) | |
| api = HfApi() | |
| api.create_repo(a.repo, repo_type="dataset", private=a.private, exist_ok=True) | |
| api.upload_folder( | |
| folder_path=here, | |
| repo_id=a.repo, | |
| repo_type="dataset", | |
| allow_patterns=["README.md", "LICENSE-CODE", "requirements.txt", "evaluate.py", "push.py", | |
| "data/*.parquet", "scripts/*.py", "results/*/metrics.json"], | |
| commit_message="ToolFault-Bench v1.0", | |
| ) | |
| print(f"Done: https://huggingface.co/datasets/{a.repo}") | |