scripts/gen_pool_stats.py

#!/usr/bin/env python3
"""Regenerate approved-questions/POOL_STATS.txt.

Reports, for the accepted archive (bank/), the frozen benchmark (benchmark_600/)
and the reserve (leftover_pool/): counts, GT distributions, object diversity,
and the per-type signature reuse that drove the selection.

Run from repo root:  python approved-questions/scripts/gen_pool_stats.py
"""
import json, glob, os
from collections import Counter, defaultdict

ROOT=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
AQ=os.path.join(ROOT,"approved-questions")

def qtype(q):
    t=q.get("question_type")
    return {"marked_comparison":"compare","counting":"count",
            "existence":"find","under_object":"beneath"}.get(t,t)

def scene_folders(ep_dir):
    sp=os.path.join(ep_dir,"scene_snapshot","scene_snapshot.json"); s=set()
    if os.path.isfile(sp):
        for o in (json.load(open(sp)).get("objects") or []):
            if o.get("folder"): s.add(o["folder"])
    return s

def name_folder(ep_dir):
    sp=os.path.join(ep_dir,"scene_snapshot","scene_snapshot.json"); m={}
    if os.path.isfile(sp):
        for o in (json.load(open(sp)).get("objects") or []):
            if o.get("name") and o.get("folder"): m[o["name"]]=o["folder"]
    return m

def analyze(bank_dir, label, out):
    rows=defaultdict(list)
    for rj in sorted(glob.glob(os.path.join(bank_dir,"ep_*/review.json"))):
        ep=os.path.dirname(rj); d=json.load(open(rj)); q=d.get("question") or {}
        ct=qtype(q); fmap=name_folder(ep); scene=scene_folders(ep)
        r={"scene":scene}
        if ct=="count":
            r["gt"]=str(q.get("gt_answer")); r["sig"]=q.get("target_ref_folder")
            r["pol"]="no" if r["gt"]=="0" else "yes"
        elif ct=="find":
            yes=str(q.get("gt_answer_text") or "").lower().startswith("y")
            r["gt"]="yes" if yes else "no"; r["sig"]=q.get("queried_ref_folder")
            r["pol"]=r["gt"]
        elif ct=="beneath":
            r["gt"]=str(q.get("gt_answer"))
            r["sig"]=(fmap.get(q.get("cover_object")), fmap.get(q.get("target_name")))
        elif ct=="compare":
            r["gt"]=str(q.get("gt_answer")); r["ext"]=q.get("comparison_extremum")
            ml=q.get("marked_labels") or {}
            r["sig"]=tuple(sorted(v.get("obj_folder") for v in ml.values() if v.get("obj_folder")))
        rows[ct].append(r)

    out.append("="*72); out.append(f"{label}"); out.append("="*72)
    allf=set(); total=0
    for ct in ["count","find","beneath","compare"]:
        rs=rows[ct]; total+=len(rs)
        for r in rs: allf|=r["scene"]
        sigs=Counter(r["sig"] for r in rs if r.get("sig"))
        reuse=Counter(sigs.values()); maxr=max(sigs.values()) if sigs else 0
        line=f"  {ct:8s} n={len(rs):<4d} distinct-signatures={len(sigs):<4d} "\
             f"max-reuse={maxr} reuse-hist={dict(sorted(reuse.items()))}"
        out.append(line)
        if ct=="count":
            out.append(f"           GT: {dict(sorted(Counter(r['gt'] for r in rs).items()))}"
                       f"  (yes={sum(1 for r in rs if r['pol']=='yes')}"
                       f" no={sum(1 for r in rs if r['pol']=='no')})")
        elif ct=="find":
            out.append(f"           yes/no: {dict(Counter(r['gt'] for r in rs))}")
        elif ct=="compare":
            out.append(f"           letter: {dict(sorted(Counter(r['gt'] for r in rs).items()))}"
                       f"  extremum: {dict(Counter(r['ext'] for r in rs))}")
        elif ct=="beneath":
            gt=Counter(r["gt"] for r in rs)
            out.append(f"           distinct-GT={len(gt)}  NOTA={gt.get('none of the above',0)}")
    out.append(f"  TOTAL n={total}   UNIQUE object folders (scene union)={len(allf)}")
    out.append("")
    return allf

def main():
    out=[]
    out.append("PROBE-Bench V2 — approved-questions pool statistics")
    out.append("(regenerate: python approved-questions/scripts/gen_pool_stats.py)")
    out.append("")
    f1=analyze(os.path.join(AQ,"benchmark_600"), "FROZEN BENCHMARK — benchmark_600/ (the deliverable)", out)
    f2=analyze(os.path.join(AQ,"leftover_pool"), "RESERVE — leftover_pool/ (swap-in if questions removed)", out)
    f3=analyze(os.path.join(AQ,"bank"), "FULL ACCEPTED ARCHIVE — bank/ (783, everything accepted)", out)
    out.append("="*72)
    out.append("CROSS-BANK OBJECT COVERAGE")
    out.append("="*72)
    out.append(f"  benchmark_600 unique objects : {len(f1)}")
    out.append(f"  leftover_pool unique objects : {len(f2)}")
    out.append(f"  full archive unique objects  : {len(f3)}")
    out.append(f"  benchmark captures {100*len(f1)//max(len(f3),1)}% of the archive's object variety")
    txt="\n".join(out)+"\n"
    open(os.path.join(AQ,"POOL_STATS.txt"),"w").write(txt)
    print(txt)

if __name__=="__main__":
    main()