Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
DOI:
License:
| """Push the dataset repo to the Hub: uv run python scripts/push_to_hub.py | |
| Publishes everything needed to load, audit, and reproduce the dataset. | |
| BRIEF.md (internal seed notes) stays local. | |
| """ | |
| from __future__ import annotations | |
| from pathlib import Path | |
| from huggingface_hub import HfApi | |
| REPO_ID = "4esv/rameau" | |
| REPO_ROOT = Path(__file__).resolve().parents[1] | |
| IGNORE = [ | |
| "BRIEF.md", | |
| ".git*", | |
| ".venv/**", | |
| "**/__pycache__/**", | |
| ".pytest_cache/**", | |
| ".ruff_cache/**", | |
| ".DS_Store", | |
| ] | |
| def main() -> None: | |
| api = HfApi() | |
| user = api.whoami()["name"] | |
| assert user == REPO_ID.split("/")[0], f"logged in as {user!r}, expected {REPO_ID}" | |
| api.create_repo(REPO_ID, repo_type="dataset", exist_ok=True) | |
| info = api.upload_folder( | |
| repo_id=REPO_ID, | |
| repo_type="dataset", | |
| folder_path=REPO_ROOT, | |
| ignore_patterns=IGNORE, | |
| commit_message="Rameau v1: 21,940 records, 4 configs, verified gold, eval harness", | |
| ) | |
| print(f"pushed: https://huggingface.co/datasets/{REPO_ID}\ncommit: {info.oid}") | |
| if __name__ == "__main__": | |
| main() | |