Datasets:
File size: 1,884 Bytes
4bd7b12 | 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 61 62 63 | #!/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)}")
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