File size: 6,574 Bytes
f2cf1f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5e5bb15
 
 
f2cf1f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5e5bb15
 
 
 
 
 
 
 
 
 
f2cf1f1
 
 
 
 
 
 
 
 
 
5e5bb15
 
f2cf1f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5e5bb15
f2cf1f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
#!/usr/bin/env python3
"""Build the sealed, Hugging Face-ready FinGovBench v1 release candidate."""

from __future__ import annotations

import hashlib
import json
from collections import Counter, defaultdict
from pathlib import Path


ROOT = Path(__file__).resolve().parents[1]
SOURCES = [
    ROOT / "data/sec_revisions_v1.jsonl",
    ROOT / "data/controlled_structural_v1.jsonl",
    ROOT / "data/delegated_action_v1.jsonl",
]


def rows(path: Path) -> list[dict]:
    return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]


def sha256(path: Path) -> str:
    return hashlib.sha256(path.read_bytes()).hexdigest()


def write_jsonl(path: Path, records: list[dict]) -> None:
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_text("".join(json.dumps(record, sort_keys=True) + "\n" for record in records))


def public_record(record: dict, *, include_telemetry: bool) -> dict:
    result = {key: value for key, value in record.items() if key not in {"gold", "post_action_observation"}}
    # Generator bookkeeping is never a method input. In particular, controlled
    # fault names and topology indices would leak the answer-key construction.
    result.pop("controlled_metadata", None)
    result["workflow_context"] = result.pop("ddas")
    graph = result.pop("graph")
    # The public object is a method-neutral workflow declaration.  SSEG,
    # flat monitors, rules engines and other methods must build their own
    # internal representation from the same components and dependencies.
    result["workflow"] = {
        "representation": "declared_workflow_dependency_map_v1",
        "components": graph["nodes"],
        "dependencies": graph["edges"],
    }
    if not include_telemetry:
        result.pop("telemetry", None)
    # Construction flags are labels, not method inputs.
    result["event"] = {
        key: value
        for key, value in result["event"].items()
        if key != "controlled_fault"
    }
    result["label_status"] = "sealed"
    result["task_mode"] = "propagation" if include_telemetry else "closed_loop"
    return result


def label_record(record: dict) -> dict:
    gold = dict(record["gold"])
    gold["affected_components"] = gold.pop("affected_nodes")
    gold["revalidation_components"] = gold.pop("revalidation_scope")
    return {
        "case_id": record["case_id"],
        "event_group_id": record["event_group_id"],
        "split": record["split"],
        "gold": gold,
        "post_action_observation": record["post_action_observation"],
        "evaluation_strata": {
            "origin": record["case_origin"],
            "track": record["track"],
            "domain": record["domain"],
            "scenario": (
                record.get("controlled_metadata", {}).get("counterfactual_archetype", "controlled")
                if record["case_origin"] == "controlled"
                else record.get("revision_metadata", {}).get("revision_kind", "reported_value_revision")
            ),
        },
        "label_basis": (
            "official_sec_reported_value_pair_and_declared_workflow_contract_pending_independent_adjudication"
            if record["case_origin"] == "genuine_revision"
            else "prespecified_controlled_event_and_declared_workflow_contract"
        ),
    }


def main() -> None:
    records = [record for path in SOURCES for record in rows(path)]
    if len(records) != 3000:
        raise SystemExit(f"expected 3000 cases, found {len(records)}")
    ids = [record["case_id"] for record in records]
    if len(ids) != len(set(ids)):
        raise SystemExit("duplicate case IDs")
    group_splits: dict[str, set[str]] = defaultdict(set)
    authority_splits: dict[str, set[str]] = defaultdict(set)
    for record in records:
        group_splits[record["event_group_id"]].add(record["split"])
        authority_splits[record["ddas"]["authority_id"]].add(record["split"])
    leaking_groups = {group: sorted(splits) for group, splits in group_splits.items() if len(splits) > 1}
    leaking_authorities = {group: sorted(splits) for group, splits in authority_splits.items() if len(splits) > 1}
    if leaking_groups or leaking_authorities:
        raise SystemExit(f"split leakage: groups={leaking_groups}, authorities={leaking_authorities}")

    records.sort(key=lambda record: record["case_id"])
    release = ROOT / "data/fingovbench_v1.jsonl"
    write_jsonl(release, records)
    for split in ("development", "validation", "test"):
        selected = [record for record in records if record["split"] == split]
        write_jsonl(ROOT / f"hf/closed_loop_inputs/{split}.jsonl", [public_record(record, include_telemetry=False) for record in selected])
        write_jsonl(ROOT / f"hf/propagation_inputs/{split}.jsonl", [public_record(record, include_telemetry=True) for record in selected])
        label_root = ROOT / ("private/sealed_labels" if split == "test" else "hf/public_labels")
        write_jsonl(label_root / f"{split}.jsonl", [label_record(record) for record in selected])

    artifacts = [release, *sorted((ROOT / "hf/closed_loop_inputs").glob("*.jsonl")), *sorted((ROOT / "hf/propagation_inputs").glob("*.jsonl")), *sorted((ROOT / "hf/public_labels").glob("*.jsonl")), *sorted((ROOT / "private/sealed_labels").glob("*.jsonl"))]
    manifest = {
        "benchmark": "FinGovBench",
        "version": "1.0.0-rc4",
        "cases": len(records),
        "origins": dict(Counter(record["case_origin"] for record in records)),
        "domains": dict(Counter(record["domain"] for record in records)),
        "splits": dict(Counter(record["split"] for record in records)),
        "iceberg_visibility": dict(Counter(record["gold"]["iceberg_visibility"] for record in records)),
        "governance_actions": dict(Counter(record["gold"]["governance_action"] for record in records)),
        "event_groups": len(group_splits),
        "authorities": len(authority_splits),
        "group_leakage": leaking_groups,
        "authority_leakage": leaking_authorities,
        "source_tracks": [str(path.relative_to(ROOT)) for path in SOURCES],
        "checksums": {str(path.relative_to(ROOT)): sha256(path) for path in artifacts},
        "label_status": "algorithmically verified; external domain-expert adjudication pending",
        "benchmark_method_dependency": "none; SSEG is an optional evaluated method",
    }
    (ROOT / "release_manifest.json").write_text(json.dumps(manifest, indent=2, sort_keys=True) + "\n")
    print(json.dumps(manifest, indent=2, sort_keys=True))


if __name__ == "__main__":
    main()