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Download code/scripts/annotate_v2_gate.py from ambient-intelligence-labs/egoproactive-synth-annotations: direct link, hf CLI and curl.
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4.27 kB
| """Structural defect gate + question parser, extracted verbatim from annotate_v2.py so other | |
| drivers can reuse them without duplicating the logic. Measured on the first 362 generated questions: | |
| 12% had near-duplicate options and 5% a gold option unsupported by the source material.""" | |
| import collections, json, re | |
| _WORD = re.compile(r"[a-z0-9']{4,}") | |
| _STOP = set("""that this with from into over under after before then than which what were was | |
| been being have has had will would could should there here they them their your mine ours | |
| first second third fourth i my me the and or of to in on at for a an it its is are be""".split()) | |
| def _content(s): | |
| return {w for w in _WORD.findall(re.sub(r"^\s*[A-D][\.\)]\s*", "", s or "").lower()) | |
| if w not in _STOP} | |
| def structural_issues(q, desc): | |
| """Shape defects a blind-attack filter does not reliably catch. | |
| Measured on the first 362 questions: 12% had two near-duplicate options and 5% had a gold | |
| option whose content never appeared in the description. Compound questions are the main | |
| offender -- built as a factorial grid over only TWO values per slot, they collapse into a | |
| 2-way guess ("'Luyben Av' + minivan" vs "'Luyben Av' + van").""" | |
| issues = [] | |
| opts = q.get("options") or [] | |
| gold = str(q.get("answer", "")).upper()[:1] | |
| if len(opts) != 4 or gold not in "ABCD": | |
| return ["malformed"] | |
| bodies = [re.sub(r"^\s*[A-D][\.\)]\s*", "", o).strip() for o in opts] | |
| sets = [_content(b) for b in bodies] | |
| for i in range(4): | |
| for j in range(i + 1, 4): | |
| if sets[i] and sets[j]: | |
| jac = len(sets[i] & sets[j]) / len(sets[i] | sets[j]) | |
| if jac > 0.8: | |
| issues.append("dup_options") | |
| break | |
| if issues: | |
| break | |
| # a compound option set must not reuse the same component across most options | |
| if len(bodies) == 4: | |
| counts = collections.Counter() | |
| for b in bodies: | |
| for part in re.split(r"\s+and\s+|,\s+", b): | |
| p = " ".join(sorted(_content(part))) | |
| if p: | |
| counts[p] += 1 | |
| if counts and max(counts.values()) >= 3: | |
| issues.append("repeated_component") | |
| gi = "ABCD".index(gold) | |
| others = [len(b) for k, b in enumerate(bodies) if k != gi] | |
| if abs(len(bodies[gi]) - (sum(others) / 3)) > 30: | |
| issues.append("gold_len_outlier") | |
| dw = _content(desc) | |
| gw = sets[gi] | |
| if gw and len(gw - dw) / len(gw) > 0.7: | |
| issues.append("gold_unsupported_by_desc") | |
| return issues | |
| def parse_questions(txt): | |
| """Reasoning models often wrap the JSON in prose or a ```json fence despite response_format, | |
| and sometimes run out of budget mid-object. Recover what we can instead of dropping the round.""" | |
| if not txt: | |
| return [] | |
| qs = None | |
| for cand in (txt, | |
| (re.search(r"```(?:json)?\s*(.*?)```", txt, re.S) or [None, None])[1], | |
| (re.search(r"\{.*\}", txt, re.S) or [None])[0]): | |
| if not cand: | |
| continue | |
| try: | |
| obj = json.loads(cand) | |
| if isinstance(obj, dict): | |
| qs = obj.get("questions") | |
| elif isinstance(obj, list): | |
| qs = obj | |
| if qs: | |
| break | |
| except Exception: | |
| continue | |
| if not qs: | |
| # last resort: pull individual question objects out of a truncated array | |
| qs = [] | |
| for m in re.finditer(r'\{[^{}]*"question"\s*:.*?\}(?=\s*[,\]])', txt, re.S): | |
| try: | |
| qs.append(json.loads(m.group(0))) | |
| except Exception: | |
| pass | |
| if not qs: | |
| return [] | |
| out = [] | |
| for q in qs: | |
| if not isinstance(q, dict) or not q.get("question"): | |
| continue | |
| opts = q.get("options") or [] | |
| if len(opts) != 4 or str(q.get("answer", "")).upper()[:1] not in "ABCD": | |
| continue | |
| out.append(q) | |
| return out | |
| BATCH_SYS = ("Answer each numbered multiple-choice question independently. " | |
| 'Reply with ONLY JSON mapping question number to letter, e.g. {"1":"A","2":"C"}. ' | |
| "Answer every question; if unsure, still give your best single letter.") | |