"""Rebuild the benchmark domains whose source corpora state no licence. Downloads each source from the authors' GitHub repository, matches every item of our split by the SHA-1 of its normalised text (manifests/), and writes data//{train,test}.csv with our labels in our row order. Usage (from the release folder): python rebuild.py Requires: pandas, openpyxl """ import hashlib import io import tempfile import urllib.request import zipfile from pathlib import Path import pandas as pd from release_sources import DOMAIN_SOURCE, READERS, REPOS, norm HERE = Path(__file__).resolve().parent def fetch(repo, dest): url = f"https://codeload.github.com/{repo}/zip/HEAD" with urllib.request.urlopen(url) as r: zipfile.ZipFile(io.BytesIO(r.read())).extractall(dest) def main(): with tempfile.TemporaryDirectory() as tmp: texts = {} for src, repo in REPOS.items(): print(f"downloading {repo}") root = Path(tmp) / src fetch(repo, root) texts[src] = {hashlib.sha1(norm(t).encode("utf-8")).hexdigest(): t for t in READERS[src](str(root))} for key, src in DOMAIN_SOURCE.items(): for split in ("train", "test"): man = pd.read_csv(HERE / "manifests" / key / f"{split}.csv", dtype=str) man["text"] = man.sha1.map(texts[src]) missing = man.text.isna().sum() out = HERE / "data" / key / f"{split}.csv" out.parent.mkdir(parents=True, exist_ok=True) man.dropna(subset=["text"])[["text", "label"]].to_csv(out, index=False, encoding="utf-8") print(f" {key}/{split}: {len(man) - missing:,} of {len(man):,} items" + (f" ({missing} not found in the current source file)" if missing else "")) if __name__ == "__main__": main()