File size: 1,828 Bytes
8536af5 aa4e7ae 8536af5 aa4e7ae 8536af5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | #!/usr/bin/env python3
from __future__ import annotations
import argparse
from pathlib import Path
from huggingface_hub import HfApi
def validate_dataset_file(repo_root: Path) -> None:
dataset_file = repo_root / "data/questions.jsonl"
if not dataset_file.exists():
raise SystemExit(f"Missing {dataset_file}")
if dataset_file.stat().st_size == 0:
raise SystemExit(f"{dataset_file} is empty. Regenerate it before uploading.")
def main() -> int:
parser = argparse.ArgumentParser(description="Upload the Croissant-friendly ESI-Bench table to Hugging Face.")
parser.add_argument("--repo-id", default="ESI-Bench/esi-bench")
parser.add_argument("--repo-root", type=Path, default=Path(__file__).resolve().parents[1])
parser.add_argument("--private", action="store_true", help="Create the dataset repo as private if it does not exist.")
parser.add_argument("--commit-message", default="Replace with Croissant-friendly questions table")
args = parser.parse_args()
repo_root = args.repo_root.resolve()
validate_dataset_file(repo_root)
api = HfApi()
api.create_repo(repo_id=args.repo_id, repo_type="dataset", private=args.private, exist_ok=True)
api.upload_folder(
folder_path=repo_root,
repo_id=args.repo_id,
repo_type="dataset",
allow_patterns=[
"README.md",
"data/questions.jsonl",
"scripts/export_hf_questions.py",
"scripts/upload_hf_dataset.py",
],
delete_patterns=[
"data/**",
"dataset/**",
"scripts/**",
],
commit_message=args.commit_message,
)
print(f"Uploaded {repo_root} to https://huggingface.co/datasets/{args.repo_id}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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