"""Text2KGBench-style eval of the fine-tuned model on held-out test.jsonl. Metrics per task family: IES Turtle : syntactic validity, ontology conformance (our validator), hallucinated-term rate multi-standard: syntactic validity, relation conformance (predicates within the given ontology) Usage: python eval_ies.py --model --adapter adapters (omit --adapter for baseline) Runs under .venv (mlx_lm).""" import sys, json, argparse, pathlib, re sys.path.insert(0, str(pathlib.Path(__file__).parent)) from iesval import validate_turtle, structural_conformance, REAL, IES from rdflib import Graph from mlx_lm import load, generate ROOT = pathlib.Path("/Users/fabio/projects/qwen-ies-ft") def extract_turtle(txt): m = re.search(r"```(?:turtle|ttl)?\s*(.*?)```", txt, re.S) if m: txt = m.group(1) return txt.strip() def ies_metrics(ttl, user_turn=""): ok, reason, n, used = validate_turtle(ttl, min_triples=3) # syntactic validity independent of conformance syn = True try: Graph().parse(data=ttl, format="turtle") except Exception: syn = False # hallucinated term rate among ies: terms terms = set(re.findall(r"ies:(\w+)", ttl)) halluc = (len(terms - REAL)/len(terms)) if terms else 1.0 # structural conformance (domain/range with subclass closure) sc, checked, _ = structural_conformance(ttl) if syn else (0.0, 0, []) # namespace fidelity: if the prompt demanded a namespace, the output must use it m = re.search(r"Use <(\S+)> as the namespace", user_turn) ns_ok = (m.group(1) in ttl) if m else None return {"syntactic": syn, "conformant": ok, "halluc_rate": halluc, "struct_conf": sc, "ns_ok": ns_ok, "triples": n} def multistd_metrics(ttl, allowed_slugs): syn = True try: Graph().parse(data=ttl, format="turtle") except Exception: syn = False # extract predicates properly via RDF parsing (regex falsely captured subjects) flat = set() try: _g = Graph(); _g.parse(data=ttl, format="turtle") EXNS = "http://example.org/kg#" flat = {str(p).split("#")[-1] for _, p, _ in _g if str(p).startswith(EXNS)} except Exception: pass # IES bleed check: an ontology-conditioned multistd answer must not emit ies: terms ies_bleed = bool(re.search(r"\bies:\w+", ttl)) bad = flat - allowed_slugs return {"syntactic": syn, "rel_conformant": len(bad)==0, "ies_bleed": ies_bleed, "off_ontology": sorted(bad)[:5]} def main(): ap = argparse.ArgumentParser() ap.add_argument("--model", default="mlx-community/Qwen3-Coder-30B-A3B-Instruct-8bit") ap.add_argument("--adapter", default=None) ap.add_argument("--max", type=int, default=200) a = ap.parse_args() kw = {"adapter_path": a.adapter} if a.adapter else {} model, tok = load(a.model, **kw) test = [json.loads(l) for l in (ROOT/"data"/"mlx"/"test.jsonl").open()][:a.max] ood_p = ROOT/"data"/"mlx"/"ood_test.jsonl" ood_rows = [json.loads(l) for l in ood_p.open()] if ood_p.exists() else [] ies, multi, ood = [], [], [] for r, bucket_ood in [(x, False) for x in test] + [(x, True) for x in ood_rows]: msgs = r["messages"] sysp = msgs[0]["content"] prompt = tok.apply_chat_template(msgs[:-1], add_generation_prompt=True, tokenize=False) out = generate(model, tok, prompt=prompt, max_tokens=1400, verbose=False) ttl = extract_turtle(out) if sysp.startswith("You extract ontology-conformant"): um = msgs[1]["content"] rels = re.search(r"Allowed relations: (.+?)\.", um) allowed = set() if rels: for x in rels.group(1).split(","): allowed.add(re.sub(r"[^0-9A-Za-z]+","_",x.strip()).strip("_")) multi.append(multistd_metrics(ttl, allowed)) elif "@prefix ies" in msgs[-1]["content"] or "a ies:" in msgs[-1]["content"]: (ood if bucket_ood else ies).append(ies_metrics(ttl, msgs[1]["content"])) def pct(rows, key): return 100.0*sum(1 for r in rows if r[key])/max(1,len(rows)) def mean(rows, key): return sum(r[key] for r in rows)/max(1,len(rows)) def block(name, rows): print(f"=== {name} (n={len(rows)}) ===") if not rows: return print(f" syntactic validity : {pct(rows,'syntactic'):.1f}%") print(f" term conformance : {pct(rows,'conformant'):.1f}%") print(f" structural conf : {mean(rows,'struct_conf'):.3f}") print(f" halluc-term rate : {mean(rows,'halluc_rate'):.3f}") ns = [r for r in rows if r["ns_ok"] is not None] if ns: print(f" namespace fidelity : {pct(ns,'ns_ok'):.1f}% (n={len(ns)})") print() block("IES Turtle (in-distribution)", ies) block("IES Turtle (OUT-OF-DISTRIBUTION, gold dstl)", ood) print(f"=== Multi-standard (n={len(multi)}) ===") if multi: print(f" syntactic validity : {pct(multi,'syntactic'):.1f}%") print(f" relation conformance: {pct(multi,'rel_conformant'):.1f}%") print(f" IES-bleed rate : {pct(multi,'ies_bleed'):.1f}% (should be 0)") out = { "ies_n": len(ies), "ood_n": len(ood), "multi_n": len(multi), "ies_syn": f"{pct(ies,'syntactic'):.1f}%" if ies else "-", "ies_conf": f"{pct(ies,'conformant'):.1f}%" if ies else "-", "ies_struct": f"{mean(ies,'struct_conf'):.3f}" if ies else "-", "ies_hall": f"{mean(ies,'halluc_rate'):.3f}" if ies else "-", "ood_syn": f"{pct(ood,'syntactic'):.1f}%" if ood else "-", "ood_conf": f"{pct(ood,'conformant'):.1f}%" if ood else "-", "ood_struct": f"{mean(ood,'struct_conf'):.3f}" if ood else "-", "multi_syn": f"{pct(multi,'syntactic'):.1f}%" if multi else "-", "multi_rel": f"{pct(multi,'rel_conformant'):.1f}%" if multi else "-", "multi_bleed": f"{pct(multi,'ies_bleed'):.1f}%" if multi else "-", "adapter": a.adapter or "baseline", } (ROOT/"data"/("eval.json" if a.adapter else "eval_baseline.json")).write_text(json.dumps(out, indent=2)) print("wrote", "eval.json" if a.adapter else "eval_baseline.json") if __name__=="__main__": main()