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Release Privacy Context Pairs v1.0.0
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"""Build Privacy Context Pairs from authored cases; no model or network access."""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from collections import Counter
from itertools import product
from pathlib import Path
SPLITS = ("train", "validation", "test")
ROLES = ("alternative", "attribute")
SIDES = ("left", "right")
ORDINARY = ("a", "b")
def _canonical(value: object) -> str:
return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
def _sha(payload: bytes) -> str:
return hashlib.sha256(payload).hexdigest()
def _unique_object(pairs: list[tuple[str, object]]) -> dict:
result = {}
for key, value in pairs:
if key in result:
raise ValueError(f"Duplicate JSON key: {key}")
result[key] = value
return result
def _entry(root: Path, relative: str) -> dict:
path = root / relative
if not path.resolve().is_relative_to(root) or path.is_symlink():
raise ValueError(f"Input must be an ordinary file inside its root: {relative}")
payload = path.read_bytes()
return {"path": relative, "bytes": len(payload), "sha256": _sha(payload)}
def _load(root: Path, relative: str) -> tuple[object, dict]:
path = root / relative
if not path.resolve().is_relative_to(root) or path.is_symlink():
raise ValueError(f"Input must be an ordinary file inside its root: {relative}")
payload = path.read_bytes()
value = json.loads(payload, object_pairs_hook=_unique_object)
return value, {"path": relative, "bytes": len(payload), "sha256": _sha(payload)}
def _write_json(path: Path, value: object) -> None:
payload = json.dumps(value, indent=2, ensure_ascii=False, sort_keys=True) + "\n"
with path.open("x", encoding="utf-8", newline="\n") as handle:
handle.write(payload)
def _write_rows(path: Path, rows: list[dict], key: str) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("x", encoding="utf-8", newline="\n") as handle:
for row in sorted(rows, key=lambda item: item[key]):
handle.write(_canonical(row) + "\n")
def _load_cases(root: Path, protocol: dict) -> tuple[list[dict], list[dict]]:
cases = []
inputs = []
required = set(protocol["source_case_keys"])
languages = set(protocol["languages"])
per_type = protocol["case_inventory"]["families_per_type"]
seen = set()
for target_type in protocol["target_types"]:
values, entry = _load(root, f"source/{target_type}.json")
inputs.append(entry)
if not isinstance(values, list) or len(values) != per_type * len(languages):
raise ValueError(
f"{entry['path']}: expected {per_type * len(languages)} cases"
)
expected = {
f"{target_type}-{number:02d}-{language}"
for number in range(1, per_type + 1)
for language in languages
}
observed = set()
for case in values:
if not isinstance(case, dict) or set(case) != required:
raise ValueError(f"{entry['path']}: source case has incorrect keys")
if any(
not isinstance(value, str) or not value.strip()
for value in case.values()
):
raise ValueError(
f"{entry['path']}: all case values must be nonempty strings"
)
case_id = case["case_id"]
if case_id in seen:
raise ValueError(f"Duplicate case ID: {case_id}")
seen.add(case_id)
observed.add(case_id)
if case["target_type"] != target_type or case["language"] not in languages:
raise ValueError(f"{case_id}: source type or language mismatch")
if case_id != f"{case['family_id']}-{case['language']}":
raise ValueError(f"{case_id}: family/language identifier mismatch")
cases.append(case)
if observed != expected:
raise ValueError(f"{entry['path']}: incomplete family/language inventory")
return sorted(cases, key=lambda case: case["case_id"]), inputs
def _family_splits(cases: list[dict], protocol: dict) -> dict[str, str]:
seed = protocol["split_recipe"]["seed"]
sizes = protocol["split_recipe"]["family_counts_per_type"]
assignments = {}
for target_type in protocol["target_types"]:
families = {
case["family_id"] for case in cases if case["target_type"] == target_type
}
ordered = sorted(families, key=lambda family: _sha(f"{seed}|{family}".encode()))
offset = 0
for split in SPLITS:
for family in ordered[offset : offset + sizes[split]]:
assignments[family] = split
offset += sizes[split]
if offset != len(ordered):
raise ValueError(f"{target_type}: split sizes do not cover all families")
return assignments
def _record_id(case_id: str, role: str, side: str, ordinary: str) -> str:
return f"pcp-v1-{case_id}-{role}-{side}-{ordinary}"
def _text_row(
case: dict, split: str, case_sha: str, role: str, side: str, ordinary: str
) -> dict:
cue = case[f"{role}_cue"]
left, right = (cue, case["control"]) if side == "left" else (case["control"], cue)
scene = case[f"ordinary_{ordinary}"]
target = case["target"]
text = f"{left}\n\n{target}.\n\n{right}\n\n{scene}"
start = len(left) + 2
end = start + len(target)
right_start = end + 3
right_end = right_start + len(right)
ordinary_start = right_end + 2
return {
"id": _record_id(case["case_id"], role, side, ordinary),
"case_id": case["case_id"],
"family_id": case["family_id"],
"language": case["language"],
"target_type": case["target_type"],
"split": split,
"scenario_domain": case["scenario_domain"],
"text": text,
"target": {"text": target, "start": start, "end": end},
"construction": {
"role": role,
"cue_side": side,
"ordinary": ordinary,
"intended_reference": case[f"{role}_reference"],
},
"slots": {
"left": {"start": 0, "end": len(left)},
"right": {"start": right_start, "end": right_end},
"ordinary": {"start": ordinary_start, "end": len(text)},
},
"provenance": {
"source_type": "synthetic",
"authoring": "ai_assisted",
"privacy_annotation_status": "not_human_adjudicated",
"classifier_screening": "none",
},
"case_sha256": case_sha,
"text_sha256": _sha(text.encode("utf-8")),
"version": "1.0.0",
}
def _pairs(case: dict, split: str) -> list[dict]:
case_id = case["case_id"]
common = {
"case_id": case_id,
"family_id": case["family_id"],
"language": case["language"],
"target_type": case["target_type"],
"split": split,
}
result = []
for side, ordinary in product(SIDES, ORDINARY):
result.append(
{
**common,
"id": f"{case_id}:role:{side}:{ordinary}",
"kind": "role",
"base_id": _record_id(case_id, "alternative", side, ordinary),
"changed_id": _record_id(case_id, "attribute", side, ordinary),
"direction": "attribute - alternative",
}
)
for role, side in product(ROLES, SIDES):
result.append(
{
**common,
"id": f"{case_id}:ordinary:{role}:{side}",
"kind": "ordinary",
"base_id": _record_id(case_id, role, side, "a"),
"changed_id": _record_id(case_id, role, side, "b"),
"direction": "b - a",
}
)
for role, ordinary in product(ROLES, ORDINARY):
result.append(
{
**common,
"id": f"{case_id}:cue_side:{role}:{ordinary}",
"kind": "cue_side",
"base_id": _record_id(case_id, role, "left", ordinary),
"changed_id": _record_id(case_id, role, "right", ordinary),
"direction": "right - left",
}
)
return result
def _stats(
cases: dict[str, list[dict]],
texts: dict[str, list[dict]],
pairs: dict[str, list[dict]],
protocol: dict,
) -> dict:
by_split = {}
by_type = {
name: {"records": 0, "cases": 0, "families": 0, "contrasts": 0}
for name in protocol["target_types"]
}
by_language = {
name: {"records": 0, "cases": 0, "contrasts": 0}
for name in protocol["languages"]
}
seen_families = set()
by_kind = Counter()
shortest = None
longest = 0
for split in SPLITS:
split_families = set()
for case in cases[split]:
target_type = case["target_type"]
by_type[target_type]["cases"] += 1
by_language[case["language"]]["cases"] += 1
family = case["family_id"]
split_families.add(family)
if family not in seen_families:
by_type[target_type]["families"] += 1
seen_families.add(family)
for row in texts[split]:
by_type[row["target_type"]]["records"] += 1
by_language[row["language"]]["records"] += 1
length = len(row["text"])
shortest = length if shortest is None else min(shortest, length)
longest = max(longest, length)
for row in pairs[split]:
by_type[row["target_type"]]["contrasts"] += 1
by_language[row["language"]]["contrasts"] += 1
by_kind[row["kind"]] += 1
by_split[split] = {
"records": len(texts[split]),
"cases": len(cases[split]),
"families": len(split_families),
"contrasts": len(pairs[split]),
}
return {
"schema_version": 1,
"name": protocol["name"],
"version": protocol["version"],
"records": sum(len(rows) for rows in texts.values()),
"cases": sum(len(rows) for rows in cases.values()),
"families": len(seen_families),
"contrasts": sum(len(rows) for rows in pairs.values()),
"gold_privacy_labels": 0,
"by_split": by_split,
"by_target_type": by_type,
"by_language": by_language,
"by_contrast_kind": dict(by_kind),
"text_codepoint_length": {"min": shortest, "max": longest},
}
def build(root: Path, out: Path) -> dict:
root = root.resolve()
out = out.resolve()
if out.exists():
raise ValueError(f"Output already exists; choose a new directory: {out}")
protocol, protocol_entry = _load(root, ".construction/protocol.json")
if (
protocol["version"] != "1.0.0"
or protocol["classifier_evaluation_allowed"] is not False
):
raise ValueError("Expected the frozen, construction-only v1.0.0 protocol")
source_cases, source_entries = _load_cases(root, protocol)
inputs = sorted(
[
protocol_entry,
*source_entries,
_entry(root, "scripts/build.py"),
_entry(root, "scripts/validate.py"),
],
key=lambda entry: entry["path"],
)
assignments = _family_splits(source_cases, protocol)
cases = {split: [] for split in SPLITS}
texts = {split: [] for split in SPLITS}
pairs = {split: [] for split in SPLITS}
for source_case in source_cases:
split = assignments[source_case["family_id"]]
case_sha = _sha(_canonical(source_case).encode("utf-8"))
cases[split].append({**source_case, "split": split, "case_sha256": case_sha})
for role, side, ordinary in product(ROLES, SIDES, ORDINARY):
texts[split].append(
_text_row(source_case, split, case_sha, role, side, ordinary)
)
pairs[split].extend(_pairs(source_case, split))
stats = _stats(cases, texts, pairs, protocol)
counts = {key: stats[key] for key in ("records", "cases", "families", "contrasts")}
expected = {"records": 2048, "cases": 256, "families": 128, "contrasts": 3072}
if counts != expected:
raise ValueError(f"Unexpected construction counts: {counts}")
for entry in inputs:
if _entry(root, entry["path"]) != entry:
raise ValueError(f"Input changed during construction: {entry['path']}")
out.mkdir(parents=True)
generated = []
for split in SPLITS:
for directory, grouped, key in (
("data", texts, "id"),
("cases", cases, "case_id"),
("pairs", pairs, "id"),
):
relative = f"{directory}/{split}.jsonl"
_write_rows(out / relative, grouped[split], key)
generated.append(relative)
_write_json(out / "stats.json", stats)
generated.append("stats.json")
files = [_entry(out, relative) for relative in sorted(generated)]
manifest = {
"schema_version": 1,
"name": protocol["name"],
"version": protocol["version"],
"protocol_sha256": protocol_entry["sha256"],
"inputs": inputs,
"files": files,
"counts": counts,
}
_write_json(out / "manifest.json", manifest)
with (out / "manifest.sha256").open("x", encoding="utf-8", newline="\n") as handle:
handle.write(f"{_sha((out / 'manifest.json').read_bytes())} manifest.json\n")
return counts
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--root", type=Path, default=Path(__file__).resolve().parents[1]
)
parser.add_argument(
"--out",
type=Path,
required=True,
help="New output directory; never overwritten",
)
args = parser.parse_args()
try:
counts = build(args.root, args.out)
except (ValueError, OSError, KeyError, TypeError) as error:
print(f"Build failed: {error}", file=sys.stderr)
return 1
print(
json.dumps(
{"status": "built", "output": str(args.out.resolve()), **counts},
sort_keys=True,
)
)
return 0
if __name__ == "__main__":
raise SystemExit(main())