Datasets:
Download loader.py from nickh007/cve-proof-corpus: direct link, hf CLI and curl.
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https://huggingface.co/datasets/nickh007/cve-proof-corpus/resolve/main/loader.py
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hf download hf://datasets/nickh007/cve-proof-corpus/loader.py
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curl -L -o loader.py https://huggingface.co/datasets/nickh007/cve-proof-corpus/resolve/main/loader.py
1.88 kB
| #!/usr/bin/env python3 | |
| """Loading helpers for the CVE proof corpus. | |
| Plain Python, no dependencies: | |
| from loader import load_corpus | |
| for rec in load_corpus(): | |
| print(rec["cve"], rec["relation_in_words"]) | |
| With `datasets` installed: | |
| from datasets import load_dataset | |
| ds = load_dataset("json", data_files="cve-proof-corpus.jsonl", split="train") | |
| """ | |
| from __future__ import annotations | |
| import json | |
| from collections.abc import Iterator | |
| from pathlib import Path | |
| from typing import Any | |
| DEFAULT_PATH = Path(__file__).resolve().parent / "cve-proof-corpus.jsonl" | |
| def load_corpus(path: Path | str = DEFAULT_PATH) -> list[dict[str, Any]]: | |
| """Read every record into a list.""" | |
| p = Path(path) | |
| return [json.loads(line) for line in p.read_text(encoding="utf-8").splitlines() if line.strip()] | |
| def iter_corpus(path: Path | str = DEFAULT_PATH) -> Iterator[dict[str, Any]]: | |
| """Stream records one at a time.""" | |
| p = Path(path) | |
| with p.open(encoding="utf-8") as fh: | |
| for line in fh: | |
| if line.strip(): | |
| yield json.loads(line) | |
| def to_certkit(record: dict[str, Any]) -> tuple[dict[str, Any], dict[str, Any]]: | |
| """Split a record into the (spec, certificate) pair certkit expects.""" | |
| return record["spec"], record["certificate"] | |
| def by_cwe(path: Path | str = DEFAULT_PATH) -> dict[str, list[str]]: | |
| """Group record ids by weakness class.""" | |
| out: dict[str, list[str]] = {} | |
| for rec in iter_corpus(path): | |
| out.setdefault(rec["cwe"], []).append(rec["id"]) | |
| return out | |
| if __name__ == "__main__": | |
| corpus = load_corpus() | |
| print(f"{len(corpus)} records") | |
| for rec in corpus: | |
| print(f" {rec['id']:24s} {rec['cve']:16s} {rec['cwe']:9s} {rec['project']}") | |
| print() | |
| print("by weakness:") | |
| for cwe, ids in sorted(by_cwe().items()): | |
| print(f" {cwe}: {', '.join(ids)}") | |