| """Publish the Japanese Data Engineer 2026 dataset (SFT + pretrain) with its English card.""" |
|
|
| from __future__ import annotations |
|
|
| import os |
| from pathlib import Path |
|
|
| from dotenv import load_dotenv |
| from huggingface_hub import HfApi |
|
|
| ROOT = Path(__file__).resolve().parents[3] |
| DATA_DIR = ROOT / "dev/hf-de2026-dataset" |
| REPO_ID = "LoNebula/data-engineer-2026-ja" |
|
|
|
|
| def main() -> None: |
| load_dotenv(ROOT / ".env") |
| token = os.environ.get("HF_TOKEN") |
| if not token: |
| raise RuntimeError("HF_TOKEN is missing from the project environment") |
| api = HfApi(token=token) |
| api.create_repo(REPO_ID, repo_type="dataset", exist_ok=True, private=False) |
| api.upload_folder( |
| folder_path=str(DATA_DIR), |
| repo_id=REPO_ID, |
| repo_type="dataset", |
| commit_message="Publish Japanese Data Engineer 2026 dataset (SFT + pretrain)", |
| ) |
| print(f"Published dataset: https://huggingface.co/datasets/{REPO_ID}") |
|
|
|
|
| if __name__ == "__main__": |
| try: |
| main() |
| except Exception as exc: |
| raise SystemExit(f"Dataset upload failed ({type(exc).__name__}); details suppressed.") from None |
