swarm-arena-sft-v2 / code /swarm_ctf_eval /arena_data_audit.py
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Publish audited Swarm Arena SFT v2
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from __future__ import annotations
import argparse
import hashlib
import json
from collections import Counter
from pathlib import Path
from typing import Any
from .arena import ARENA_VERSION, Action
from .arena_generation import GENERATOR_VERSION, generate_mechanics_state, generate_state
from .arena_oracle import deterministic_policy, local_policy_action, solve_joint_action
from .arena_protocol import ARENA_PROMPT_VERSION, parse_action, parse_broadcast
from .arena_sft import DATASET_VERSION, split_for_seed
from .arena_splits import FROZEN_EVAL_SEEDS
def _action(value: dict[str, Any]) -> Action:
return Action(value["type"], value.get("target"), value.get("amount"))
def audit_dataset(path: Path, require_split_action_coverage: bool = False) -> dict[str, Any]:
manifest = json.loads((path / "manifest.json").read_text(encoding="utf-8"))
rows = []
for split in ("train", "validation", "test"):
for line in (path / f"{split}.jsonl").read_text(encoding="utf-8").splitlines():
if line.strip():
row = json.loads(line)
row["_file_split"] = split
rows.append(row)
failures: list[str] = []
ids: set[str] = set()
phases: Counter[str] = Counter()
action_kinds: Counter[str] = Counter()
action_kinds_by_split: dict[str, Counter[str]] = {
split: Counter() for split in ("train", "validation", "test")
}
action_positions: Counter[int] = Counter()
broadcast_facts: Counter[int] = Counter()
seeds_by_split: dict[int, set[str]] = {}
solver_cache = {}
for row_number, row in enumerate(rows, 1):
metadata = row.get("metadata", {})
messages = row.get("messages", [])
row_id = row.get("id")
prefix = f"row {row_number} ({row_id})"
if row_id in ids:
failures.append(f"{prefix}: duplicate_id")
ids.add(row_id)
if [item.get("role") for item in messages] != ["system", "user", "assistant"]:
failures.append(f"{prefix}: chat_schema")
continue
if metadata.get("dataset_version") != DATASET_VERSION:
failures.append(f"{prefix}: dataset_version")
if metadata.get("arena_version") != ARENA_VERSION:
failures.append(f"{prefix}: arena_version")
if metadata.get("generator_version") != GENERATOR_VERSION:
failures.append(f"{prefix}: generator_version")
if metadata.get("prompt_version") != ARENA_PROMPT_VERSION:
failures.append(f"{prefix}: prompt_version")
seed = metadata.get("seed")
if not isinstance(seed, int):
failures.append(f"{prefix}: seed")
continue
if seed in FROZEN_EVAL_SEEDS:
failures.append(f"{prefix}: frozen_eval_leakage")
expected_split = split_for_seed(seed)
if metadata.get("split") != expected_split or row["_file_split"] != expected_split:
failures.append(f"{prefix}: wrong_split")
seeds_by_split.setdefault(seed, set()).add(expected_split)
user_text = messages[1].get("content", "")
if any(term in user_text for term in ("required_joint", "oracle_message", "solver_reward", "answer_key")):
failures.append(f"{prefix}: answer_leakage")
try:
user = json.loads(user_text)
except json.JSONDecodeError:
failures.append(f"{prefix}: invalid_user_json")
continue
if metadata.get("generator_mode") == "targeted_mechanics":
state = generate_mechanics_state(seed, metadata.get("targeted_skill"))
else:
state = generate_state(seed)
agent_id = metadata.get("agent_id")
phase = metadata.get("phase")
phases[phase] += 1
assistant = messages[2].get("content", "")
if phase == "BROADCAST":
parsed = parse_broadcast(assistant, state, agent_id)
if not parsed.valid:
failures.append(f"{prefix}: invalid_broadcast:{','.join(parsed.errors)}")
else:
broadcast_facts[len(parsed.value.facts)] += 1
elif phase == "ACT":
raw_actions = user.get("legal_actions")
if not isinstance(raw_actions, list):
failures.append(f"{prefix}: missing_legal_actions")
continue
displayed = tuple(_action(item) for item in raw_actions)
if [item.get("id") for item in raw_actions] != [f"A{index}" for index in range(len(raw_actions))]:
failures.append(f"{prefix}: action_ids")
parsed = parse_action(assistant, displayed)
if not parsed.valid:
failures.append(f"{prefix}: invalid_action:{','.join(parsed.errors)}")
continue
selected = parsed.value
action_kinds[selected.kind] += 1
action_kinds_by_split[expected_split][selected.kind] += 1
action_positions[displayed.index(selected)] += 1
if seed not in solver_cache:
solver_cache[seed] = solve_joint_action(
state, "BLUE", deterministic_policy(state, "RED")
)
solution = solver_cache[seed]
if selected not in solution.acceptable_for(agent_id):
failures.append(f"{prefix}: not_solver_optimal")
if selected != local_policy_action(state, agent_id):
failures.append(f"{prefix}: not_prompt_identifiable")
for inbox_item in user.get("inbox", []):
intent = inbox_item.get("broadcast", {}).get("intent")
if intent is not None and _action(intent) == selected:
failures.append(f"{prefix}: conflicting_declared_intent")
else:
failures.append(f"{prefix}: unknown_phase")
if any(len(splits) != 1 for splits in seeds_by_split.values()):
failures.append("seed_crosses_splits")
content_hash = hashlib.sha256("".join(sorted(row["id"] for row in rows)).encode()).hexdigest()
if content_hash != manifest.get("content_sha256"):
failures.append("manifest_content_hash")
if len(rows) != manifest.get("num_examples"):
failures.append("manifest_example_count")
expected_versions = {
"dataset_version": DATASET_VERSION,
"arena_version": ARENA_VERSION,
"generator_version": GENERATOR_VERSION,
"prompt_version": ARENA_PROMPT_VERSION,
}
for key, expected in expected_versions.items():
if manifest.get(key) != expected:
failures.append(f"manifest_{key}")
actual_splits = Counter(row["metadata"]["split"] for row in rows)
if dict(sorted(actual_splits.items())) != manifest.get("examples_by_split"):
failures.append("manifest_split_counts")
if dict(sorted(phases.items())) != manifest.get("examples_by_phase"):
failures.append("manifest_phase_counts")
required_actions = {"WAIT", "SCAN", "PROBE", "CAPTURE", "FORTIFY", "RECOVER", "TRANSFER"}
missing_actions = sorted(required_actions - set(action_kinds))
if missing_actions:
failures.append("missing_action_coverage:" + ",".join(missing_actions))
if require_split_action_coverage:
for split, counts in action_kinds_by_split.items():
missing = sorted(required_actions - set(counts))
if missing:
failures.append(f"missing_{split}_action_coverage:" + ",".join(missing))
if broadcast_facts[0] == 0:
failures.append("missing_silence_coverage")
return {
"valid": not failures,
"failures": failures,
"num_examples": len(rows),
"num_unique_seeds": len(seeds_by_split),
"phases": dict(sorted(phases.items())),
"action_kinds": dict(sorted(action_kinds.items())),
"action_kinds_by_split": {
split: dict(sorted(counts.items()))
for split, counts in action_kinds_by_split.items()
},
"action_positions": {str(key): value for key, value in sorted(action_positions.items())},
"broadcast_fact_counts": {str(key): value for key, value in sorted(broadcast_facts.items())},
"verified_solver_seeds": len(solver_cache),
"required_split_action_coverage": require_split_action_coverage,
}
def main() -> None:
parser = argparse.ArgumentParser(description="Independently audit an arena SFT dataset.")
parser.add_argument("path", type=Path)
parser.add_argument("--output", type=Path)
parser.add_argument("--require-split-action-coverage", action="store_true")
args = parser.parse_args()
report = audit_dataset(args.path, args.require_split_action_coverage)
output = args.output or args.path / "audit.json"
output.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
print(json.dumps(report, indent=2, sort_keys=True))
if not report["valid"]:
raise SystemExit(1)
if __name__ == "__main__":
main()