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Download scoring/judge_input.py from ScaleAI/MA-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ScaleAI/MA-Bench/resolve/main/scoring/judge_input.py
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hf download hf://datasets/ScaleAI/MA-Bench/scoring/judge_input.py
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curl -L -o judge_input.py https://huggingface.co/datasets/ScaleAI/MA-Bench/resolve/main/scoring/judge_input.py
2.66 kB
| """Build the exact judge input for one brief from the released files. No other construction is valid. | |
| from judge_input import load_bundle, user_message | |
| bundle = load_bundle("path/to/ma-bench") # reads data/cases.jsonl, data/rubric_items.jsonl, scoring/judge_prompt.md | |
| system, user = user_message(bundle, "C3", brief_text) | |
| The judge sees, per case, the rubric as one JSON object {"items": [...]} whose items carry exactly these ten keys in this | |
| naming: id, step, question, pass_condition, fail_condition, source_fact, artifact_anchor, source, tier, severity | |
| (pretty-printed, keys sorted). The case header fields come from data/cases.jsonl. This is byte-identical to the input | |
| used when the judge was validated against the expert panel. | |
| """ | |
| from __future__ import annotations | |
| import json | |
| import re | |
| from pathlib import Path | |
| RUBRIC_KEYS = { # released column -> key the judge sees | |
| "item_id": "id", | |
| "step": "step", | |
| "question": "question", | |
| "pass_condition": "pass_condition", | |
| "fail_condition": "fail_condition", | |
| "source_fact": "source_fact", | |
| "artifact_anchor": "artifact_anchor", | |
| "source_documents": "source", | |
| "tier": "tier", | |
| "severity": "severity", | |
| } | |
| def load_bundle(root: str | Path) -> dict: | |
| root = Path(root) | |
| cases = {c["case_id"]: c for c in map(json.loads, open(root / "data" / "cases.jsonl", encoding="utf-8"))} | |
| items = [json.loads(line) for line in open(root / "data" / "rubric_items.jsonl", encoding="utf-8")] | |
| md = (root / "scoring" / "judge_prompt.md").read_text(encoding="utf-8") | |
| blocks = re.findall(r"```\n(.*?)\n```", md, re.S) | |
| task_md = (root / "scoring" / "task_prompt.md").read_text(encoding="utf-8") | |
| task_blocks = re.findall(r"```\n(.*?)\n```", task_md, re.S) | |
| return {"cases": cases, "items": items, "system": blocks[0], "user_template": blocks[1], "task_template": task_blocks[0]} | |
| def rubric_json(bundle: dict, case_id: str) -> str: | |
| rows = [{RUBRIC_KEYS[k]: i[k] for k in RUBRIC_KEYS} for i in bundle["items"] if i["case_id"] == case_id] | |
| return json.dumps({"items": rows}, indent=2, sort_keys=True) | |
| def task_text(bundle: dict, case_id: str) -> str: | |
| return bundle["task_template"].replace("{op}", bundle["cases"][case_id]["operation"]) | |
| def user_message(bundle: dict, case_id: str, brief_text: str) -> tuple[str, str]: | |
| c = bundle["cases"][case_id] | |
| user = bundle["user_template"].format( | |
| case_id=c["case_id"], | |
| planning_level=c["planning_level"], | |
| document_type=c["document_type"], | |
| difficulty=c["difficulty"], | |
| task=task_text(bundle, case_id), | |
| rubric_json=rubric_json(bundle, case_id), | |
| final_content=brief_text, | |
| ) | |
| return bundle["system"], user | |