Datasets:
Download scripts/upload_hf_dataset.py from ESI-Bench/esi-bench-passive-single: direct link, hf CLI and curl.
- Browser
- Download file 2.3 kB
-
https://huggingface.co/datasets/ESI-Bench/esi-bench-passive-single/resolve/main/scripts/upload_hf_dataset.py
- Command line
-
hf download hf://datasets/ESI-Bench/esi-bench-passive-single/scripts/upload_hf_dataset.py
-
curl -L -o upload_hf_dataset.py https://huggingface.co/datasets/ESI-Bench/esi-bench-passive-single/resolve/main/scripts/upload_hf_dataset.py
2.3 kB
| #!/usr/bin/env python3 | |
| """Create and upload the standalone passive-single dataset repository.""" | |
| from __future__ import annotations | |
| import argparse | |
| from pathlib import Path | |
| from huggingface_hub import HfApi | |
| DEFAULT_REPO_ROOT = Path(__file__).resolve().parents[1] | |
| def validate(repo_root: Path) -> None: | |
| required = [ | |
| repo_root / "README.md", | |
| repo_root / "data/metadata.jsonl", | |
| ] | |
| missing = [str(path) for path in required if not path.is_file()] | |
| if missing: | |
| raise SystemExit("Missing required files:\n" + "\n".join(missing)) | |
| metadata_rows = sum(1 for line in (repo_root / "data/metadata.jsonl").open(encoding="utf-8") if line.strip()) | |
| image_count = sum(1 for path in (repo_root / "data").rglob("*.png") if path.is_file()) | |
| if metadata_rows != 3423 or image_count != 3423: | |
| raise SystemExit(f"Expected 3423 metadata rows and images, got {metadata_rows} and {image_count}") | |
| if (repo_root / "reports").exists(): | |
| raise SystemExit("reports/ must not be included") | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--repo-id", default="ESI-Bench/esi-bench-passive-single") | |
| parser.add_argument("--repo-root", type=Path, default=DEFAULT_REPO_ROOT) | |
| parser.add_argument("--private", action="store_true") | |
| parser.add_argument("--revision", default=None) | |
| parser.add_argument("--commit-message", default="Upload standalone passive-single dataset") | |
| args = parser.parse_args() | |
| repo_root = args.repo_root.resolve() | |
| validate(repo_root) | |
| api = HfApi() | |
| api.create_repo( | |
| repo_id=args.repo_id, | |
| repo_type="dataset", | |
| private=args.private, | |
| exist_ok=True, | |
| ) | |
| api.upload_folder( | |
| repo_id=args.repo_id, | |
| repo_type="dataset", | |
| folder_path=repo_root, | |
| revision=args.revision, | |
| commit_message=args.commit_message, | |
| delete_patterns=[ | |
| "data/**", | |
| "reports/**", | |
| ], | |
| ignore_patterns=[ | |
| ".cache/**", | |
| "**/__pycache__/**", | |
| "**/*.pyc", | |
| ".git/**", | |
| ], | |
| ) | |
| print(f"Uploaded to https://huggingface.co/datasets/{args.repo_id}") | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |