Datasets:
File size: 1,788 Bytes
072246b | 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 55 56 57 58 59 60 | """Publish reviewed benchmark artifacts, never local credentials or workspaces."""
import argparse
import hashlib
import json
from pathlib import Path
def main():
from huggingface_hub import HfApi
parser = argparse.ArgumentParser()
parser.add_argument("--repo", default="klein-ml/klein-code-bench")
args = parser.parse_args()
root = Path(__file__).resolve().parents[1]
summary = json.loads((root / "validation-summary.json").read_text())
digest = hashlib.sha256(
(root / "klein_code_bench/data/manifest.json").read_bytes()
).hexdigest()
if (
not summary["passed"]
or summary["tasks"] != 260
or summary["manifest_sha256"] != digest
):
raise SystemExit(
"Full validation of the current dataset is required before publishing"
)
api = HfApi()
api.create_repo(
repo_id=args.repo, repo_type="dataset", private=False, exist_ok=True
)
result = api.upload_folder(
repo_id=args.repo,
repo_type="dataset",
folder_path=str(root),
allow_patterns=[
"README.md",
"LICENSE",
"pyproject.toml",
".gitignore",
".github/workflows/*.yml",
"klein_code_bench/*.py",
"klein_code_bench/reference/*.py",
"klein_code_bench/data/*.jsonl",
"klein_code_bench/data/*.json",
"tests/*.py",
"docs/*.md",
"tools/*.py",
"dist/*.whl",
"validation-summary.json",
],
commit_message="Release Klein-Code-Bench v0.1.0: 260 validated project-generation tasks",
)
print(result.oid)
print(f"https://huggingface.co/datasets/{args.repo}")
if __name__ == "__main__":
main()
|