Datasets:
Download .github/workflows/validate.yml from nrl-ai/anylearning-data: direct link, hf CLI and curl.
- Browser
- Download file 1.71 kB
-
https://huggingface.co/datasets/nrl-ai/anylearning-data/resolve/main/.github/workflows/validate.yml
- Command line
-
hf download hf://datasets/nrl-ai/anylearning-data/.github/workflows/validate.yml
-
curl -L -o validate.yml https://huggingface.co/datasets/nrl-ai/anylearning-data/resolve/main/.github/workflows/validate.yml
1.71 kB
| name: Validate data catalog | |
| on: | |
| pull_request: | |
| push: | |
| branches: [main] | |
| permissions: | |
| contents: read | |
| jobs: | |
| validate: | |
| runs-on: ubuntu-latest | |
| timeout-minutes: 10 | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: actions/setup-python@v5 | |
| with: | |
| python-version: "3.13" | |
| - name: Validate structured catalog | |
| run: | | |
| python - <<'PY' | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| root = Path("structured") | |
| catalog = json.loads((root / "catalog-v1.json").read_text()) | |
| for entry in catalog["datasets"]: | |
| path = root / "v1" / entry["filename"] | |
| digest = hashlib.sha256(path.read_bytes()).hexdigest() | |
| if digest != entry["sha256"]: | |
| raise SystemExit(f"{path}: checksum mismatch") | |
| if path.stat().st_size != entry["bytes"]: | |
| raise SystemExit(f"{path}: size mismatch") | |
| print(f"Validated {len(catalog['datasets'])} catalog entries") | |
| PY | |
| - name: Check archive integrity | |
| run: | | |
| python - <<'PY' | |
| from pathlib import Path | |
| from zipfile import BadZipFile, ZipFile | |
| archives = sorted(Path(".").glob("**/*.zip")) | |
| for archive in archives: | |
| try: | |
| with ZipFile(archive) as source: | |
| bad = source.testzip() | |
| except BadZipFile as error: | |
| raise SystemExit(f"{archive}: {error}") from error | |
| if bad: | |
| raise SystemExit(f"{archive}: corrupt member {bad}") | |
| print(f"Validated {len(archives)} ZIP archives") | |
| PY | |