Datasets:
Add ArithMark-3 and PIQA decontamination checks (all clean) with scripts and reports
7426416 verified | """OpenThink vs PIQA (baber/piqa, the copy lm-eval uses; the original 13-gram pass could not load ybisk/piqa). | |
| Questions + traces vs goal + both solutions: exact goal match and shared 13/10/8-word sequences.""" | |
| import json, re | |
| from datasets import load_dataset | |
| OT = [json.loads(l) for l in open("/home/joseph/openthink/openthink_clean.jsonl")] | |
| norm = lambda s: re.sub(r"\s+", " ", re.sub(r"[^a-z0-9 ]", " ", s.lower())).strip() | |
| def grams(s, n): | |
| w = norm(s).split(); return {" ".join(w[i:i + n]) for i in range(len(w) - n + 1)} | |
| ds = load_dataset("baber/piqa", cache_dir="/media/joseph/Media/hf-cache/datasets") | |
| P = [r for sp in ds for r in ds[sp] if sp in ("validation", "test")] | |
| print("PIQA items:", {sp: len(ds[sp]) for sp in ds}, "checked:", len(P)) | |
| pt = [r["goal"] + " " + r["sol1"] + " " + r["sol2"] for r in P] | |
| ot = [o["question"] + " " + o["trace"] for o in OT] | |
| for n in (13, 10, 8): | |
| idx = set().union(*(grams(t, n) for t in pt)) | |
| hit = [(j, sorted(grams(t, n) & idx)[:3]) for j, t in enumerate(ot) if grams(t, n) & idx] | |
| print(f"{n}-gram: {len(hit)} OpenThink rows share a sequence with PIQA") | |
| for j, g in hit[:5]: print(" ", OT[j]["question"][:120], "|", g) | |