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Release reviewed Taiwan-centric Barbet SFT 1M with fixed-schema messages and full audits
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"""Command-line entry points for generating and auditing BGD-SFT artifacts."""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from collections import Counter
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Iterable
from .audit import StatsAccumulator, build_manifest, build_report
from .generation import GenerationPlan, generate_record
from .io import (
ShardResult,
iter_jsonl_gz,
sha256_file,
write_json_atomic,
write_jsonl_gz_atomic,
)
from .serializers import build_messages
from .validation import validate_record
DEFAULT_CONFIG = Path(__file__).resolve().parents[2] / "configs" / "selected_sft_1m.json"
@dataclass
class WorkerResult:
shard: ShardResult
stats: StatsAccumulator
group_splits: dict[str, str]
invalid_examples: list[dict[str, Any]]
def _load_config(path: str | Path) -> dict[str, Any]:
config_path = Path(path)
config = json.loads(config_path.read_text(encoding="utf-8"))
if not isinstance(config, dict):
raise ValueError("config must be a JSON object")
GenerationPlan(config)
return config
def _config_digest(config: dict[str, Any]) -> str:
payload = json.dumps(config, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
return hashlib.sha256(payload.encode("utf-8")).hexdigest()
def _record_stream(
config: dict[str, Any],
start: int,
end: int,
stats: StatsAccumulator,
group_splits: dict[str, str],
) -> Iterable[dict[str, Any]]:
plan = GenerationPlan(config)
for index in range(start, end):
record = generate_record(config, plan, index)
errors = validate_record(record)
if errors:
raise ValueError(
f"generated invalid record {record.get('record_id')}: " + "; ".join(errors)
)
source_group = record["source_group"]
split = record["split"]
previous = group_splits.setdefault(source_group, split)
if previous != split:
raise ValueError(f"source group split leakage: {source_group}: {previous} vs {split}")
stats.ingest(record)
yield record
def _generate_shard(
config: dict[str, Any],
output_path: str,
start: int,
end: int,
compresslevel: int,
) -> WorkerResult:
stats = StatsAccumulator()
group_splits: dict[str, str] = {}
shard = write_jsonl_gz_atomic(
output_path,
_record_stream(config, start, end, stats, group_splits),
compresslevel=compresslevel,
)
if shard.records != end - start:
raise RuntimeError(f"short shard {output_path}: {shard.records} != {end - start}")
return WorkerResult(shard=shard, stats=stats, group_splits=group_splits, invalid_examples=[])
def _audit_shard(expected: dict[str, Any]) -> WorkerResult:
path = Path(expected["path"])
actual_hash = sha256_file(path)
invalid_examples: list[dict[str, Any]] = []
stats = StatsAccumulator()
group_splits: dict[str, str] = {}
records = 0
for record in iter_jsonl_gz(path):
records += 1
errors = validate_record(record)
if errors and len(invalid_examples) < 20:
invalid_examples.append({"record_id": record.get("record_id"), "errors": errors})
stats.ingest(record)
source_group = record.get("source_group")
split = record.get("split")
if isinstance(source_group, str) and isinstance(split, str):
previous = group_splits.setdefault(source_group, split)
if previous != split and len(invalid_examples) < 20:
invalid_examples.append(
{
"record_id": record.get("record_id"),
"errors": [f"source group split leakage: {source_group}: {previous} vs {split}"],
}
)
if actual_hash != expected["sha256"]:
invalid_examples.append(
{"record_id": None, "errors": [f"checksum mismatch for {path}"]}
)
if records != int(expected["records"]):
invalid_examples.append(
{
"record_id": None,
"errors": [f"record count mismatch for {path}: {records} != {expected['records']}"],
}
)
shard = ShardResult(
path=path,
records=records,
sha256=actual_hash,
compressed_bytes=path.stat().st_size,
uncompressed_bytes=int(expected.get("uncompressed_bytes", 0)),
)
return WorkerResult(
shard=shard,
stats=stats,
group_splits=group_splits,
invalid_examples=invalid_examples,
)
def _merge_worker_results(results: list[WorkerResult]) -> tuple[StatsAccumulator, int, list[dict[str, Any]]]:
stats = StatsAccumulator()
all_group_splits: dict[str, str] = {}
split_conflicts = 0
invalid_examples: list[dict[str, Any]] = []
for result in results:
stats.merge(result.stats)
for source_group, split in result.group_splits.items():
previous = all_group_splits.setdefault(source_group, split)
if previous != split:
split_conflicts += 1
if len(invalid_examples) < 20:
invalid_examples.append(
{
"record_id": None,
"errors": [
f"cross-shard source group leakage: {source_group}: {previous} vs {split}"
],
}
)
for example in result.invalid_examples:
if len(invalid_examples) < 20:
invalid_examples.append(example)
return stats, split_conflicts, invalid_examples
def _expected_counts(percent: dict[str, int], total: int) -> dict[str, int]:
return {key: total * value // 100 for key, value in percent.items()}
def _promotion_gates(
config: dict[str, Any],
stats: StatsAccumulator,
*,
requested_records: int,
split_conflicts: int,
invalid_examples: list[dict[str, Any]],
) -> dict[str, Any]:
observed = stats.to_dict()
full_run = requested_records == int(config["total_records"])
gates: dict[str, bool | None] = {
"exact_requested_record_count": observed["total_records"] == requested_records,
"all_records_primary_zh_tw": observed["primary_zh_tw_records"] == requested_records,
"no_unannotated_simplified_only_hits": observed[
"unannotated_simplified_only_hit_records"
]
== 0,
"record_ids_unique": observed["duplicate_record_id_occurrences"] == 0,
"evidence_references_resolve": observed["evidence_reference_missing"] == 0,
"source_groups_split_locked": split_conflicts == 0,
"all_records_semantically_valid": not invalid_examples,
"exact_split_distribution": None,
"exact_primitive_distribution": None,
"exact_mixture_distribution": None,
"exact_serializer_distribution": None,
"exact_long_context_distribution": None,
}
if full_run:
gates["exact_split_distribution"] = observed["split"] == _expected_counts(
config["split_percent"], requested_records
)
gates["exact_primitive_distribution"] = observed["primitive"] == _expected_counts(
config["primitive_percent"], requested_records
)
gates["exact_mixture_distribution"] = observed["mixture_category"] == _expected_counts(
config["mixture_percent"], requested_records
)
gates["exact_serializer_distribution"] = observed["serializer"] == _expected_counts(
config["serializer_percent"], requested_records
)
long_total = int(config["long_context_records"])
long_expected = _expected_counts(config["long_context_bucket_percent"], long_total)
overall_expected = dict(long_expected)
overall_expected["0.5K-4K"] += requested_records - long_total
gates["exact_long_context_distribution"] = observed["context_bucket"] == overall_expected
evaluated = [value for value in gates.values() if value is not None]
return {
"full_run": full_run,
"gates": gates,
"all_evaluated_gates_passed": all(evaluated),
"invalid_examples": invalid_examples,
"source_group_split_conflicts": split_conflicts,
}
def _publish_reports(
output_root: Path,
config: dict[str, Any],
results: list[WorkerResult],
stats: StatsAccumulator,
gates: dict[str, Any],
*,
requested_records: int,
report_prefix: str,
) -> tuple[Path, Path]:
shards = sorted((result.shard for result in results), key=lambda shard: str(shard.path))
metadata = {
"dataset_name": config["dataset_name"],
"schema_version": config["schema_version"],
"generator_version": config["generator_version"],
"validator_version": config["validator_version"],
"config_sha256": _config_digest(config),
"requested_records": requested_records,
"synthetic_only": True,
"human_reviewed_records": 0,
"teacher_generated_records": 0,
}
manifest = build_manifest(shards, stats=stats, metadata=metadata)
manifest_path = output_root / f"{report_prefix}manifest.json"
write_json_atomic(manifest_path, manifest)
report = build_report(stats, metadata=metadata)
report["promotion_gates"] = gates
report_path = output_root / "reports" / f"{report_prefix}audit.json"
write_json_atomic(report_path, report)
return manifest_path, report_path
def _run_parallel_generate(
config: dict[str, Any],
output_root: Path,
requested_records: int,
workers: int,
) -> list[WorkerResult]:
shard_size = int(config["shard_size"])
tasks = []
for shard_index, start in enumerate(range(0, requested_records, shard_size)):
end = min(requested_records, start + shard_size)
path = output_root / "canonical" / f"part-{shard_index:05d}.jsonl.gz"
tasks.append((config, str(path), start, end, int(config["gzip_compresslevel"])))
results: list[WorkerResult] = []
if workers == 1:
for shard_index, task in enumerate(tasks, 1):
result = _generate_shard(*task)
results.append(result)
print(f"generated {shard_index}/{len(tasks)} {result.shard.path.name}", flush=True)
return results
with ProcessPoolExecutor(max_workers=workers) as executor:
futures = {executor.submit(_generate_shard, *task): task[1] for task in tasks}
completed = 0
for future in as_completed(futures):
path = futures.pop(future)
result = future.result()
results.append(result)
completed += 1
print(f"generated {completed}/{len(tasks)} {Path(path).name}", flush=True)
return results
def command_generate(args: argparse.Namespace) -> int:
config = _load_config(args.config)
requested_records = int(args.limit or config["total_records"])
if not 1 <= requested_records <= int(config["total_records"]):
raise ValueError("--limit must be between 1 and config.total_records")
output_root = Path(args.output).resolve()
if (output_root / "_SUCCESS.json").exists():
raise FileExistsError(f"completed dataset already exists: {output_root}")
canonical = output_root / "canonical"
if canonical.exists() and any(canonical.iterdir()):
raise FileExistsError(
f"output canonical directory is not empty: {canonical}; choose a new output path"
)
output_root.mkdir(parents=True, exist_ok=True)
write_json_atomic(output_root / "config.snapshot.json", config)
workers = max(1, min(int(args.workers), (requested_records + config["shard_size"] - 1) // config["shard_size"]))
results = _run_parallel_generate(config, output_root, requested_records, workers)
stats, split_conflicts, invalid_examples = _merge_worker_results(results)
gates = _promotion_gates(
config,
stats,
requested_records=requested_records,
split_conflicts=split_conflicts,
invalid_examples=invalid_examples,
)
manifest_path, report_path = _publish_reports(
output_root,
config,
results,
stats,
gates,
requested_records=requested_records,
report_prefix="",
)
success = {
"dataset_name": config["dataset_name"],
"records": requested_records,
"shards": len(results),
"manifest": str(manifest_path),
"manifest_sha256": sha256_file(manifest_path),
"audit": str(report_path),
"audit_sha256": sha256_file(report_path),
"all_evaluated_gates_passed": gates["all_evaluated_gates_passed"],
}
if not gates["all_evaluated_gates_passed"]:
write_json_atomic(output_root / "_FAILED_GATES.json", success | {"gates": gates})
raise RuntimeError(f"generation gates failed; inspect {report_path}")
write_json_atomic(output_root / "_SUCCESS.json", success)
print(json.dumps(success, ensure_ascii=False, indent=2, sort_keys=True))
return 0
def _run_parallel_audit(manifest: dict[str, Any], workers: int) -> list[WorkerResult]:
shards = manifest.get("shards")
if not isinstance(shards, list) or not shards:
raise ValueError("manifest has no shards")
results: list[WorkerResult] = []
if workers == 1:
for index, shard in enumerate(shards, 1):
result = _audit_shard(shard)
results.append(result)
print(f"audited {index}/{len(shards)} {Path(shard['path']).name}", flush=True)
return results
with ProcessPoolExecutor(max_workers=workers) as executor:
futures = {executor.submit(_audit_shard, shard): shard for shard in shards}
completed = 0
for future in as_completed(futures):
shard = futures.pop(future)
results.append(future.result())
completed += 1
print(f"audited {completed}/{len(shards)} {Path(shard['path']).name}", flush=True)
return results
def command_audit(args: argparse.Namespace) -> int:
output_root = Path(args.output).resolve()
config = _load_config(args.config or output_root / "config.snapshot.json")
manifest_path = Path(args.manifest or output_root / "manifest.json")
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
requested_records = int(manifest["metadata"]["requested_records"])
workers = max(1, min(int(args.workers), len(manifest["shards"])))
results = _run_parallel_audit(manifest, workers)
stats, split_conflicts, invalid_examples = _merge_worker_results(results)
gates = _promotion_gates(
config,
stats,
requested_records=requested_records,
split_conflicts=split_conflicts,
invalid_examples=invalid_examples,
)
_, report_path = _publish_reports(
output_root,
config,
results,
stats,
gates,
requested_records=requested_records,
report_prefix="postwrite-",
)
verified = {
"dataset_name": config["dataset_name"],
"records": stats.total_records,
"shards": len(results),
"source_manifest": str(manifest_path),
"source_manifest_sha256": sha256_file(manifest_path),
"audit": str(report_path),
"audit_sha256": sha256_file(report_path),
"all_evaluated_gates_passed": gates["all_evaluated_gates_passed"],
}
if not gates["all_evaluated_gates_passed"]:
write_json_atomic(output_root / "_POSTWRITE_FAILED.json", verified | {"gates": gates})
raise RuntimeError(f"post-write audit failed; inspect {report_path}")
write_json_atomic(output_root / "_VERIFIED.json", verified)
print(json.dumps(verified, ensure_ascii=False, indent=2, sort_keys=True))
return 0
def command_build(args: argparse.Namespace) -> int:
"""Generate and then independently re-read every published shard."""
generate_args = argparse.Namespace(
config=args.config,
output=args.output,
limit=args.limit,
workers=args.workers,
)
generated = command_generate(generate_args)
if generated:
return generated
audit_args = argparse.Namespace(
output=args.output,
config=None,
manifest=None,
workers=args.workers,
)
return command_audit(audit_args)
def command_show_plan(args: argparse.Namespace) -> int:
config = _load_config(args.config)
plan = GenerationPlan(config)
summary = {
"dataset_name": config["dataset_name"],
"total_records": config["total_records"],
"primitive_per_100": dict(sorted(Counter(plan.primitive_cycle).items())),
"mixture_per_100": dict(sorted(Counter(plan.mixture_cycle).items())),
"serializer_per_100": dict(sorted(Counter(plan.serializer_cycle).items())),
"long_slots": [
{
"offset": offset,
"primitive": plan.primitive_cycle[offset],
"mixture": plan.mixture_cycle[offset],
}
for offset in plan.long_slots
],
}
print(json.dumps(summary, ensure_ascii=False, indent=2, sort_keys=True))
return 0
def command_render_sample(args: argparse.Namespace) -> int:
config = _load_config(args.config)
plan = GenerationPlan(config)
record = generate_record(config, plan, int(args.index))
print(
json.dumps(
{"record": record, "messages": build_messages(record)},
ensure_ascii=False,
indent=2,
sort_keys=True,
)
)
return 0
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Barbet BGD-SFT deterministic dataset builder")
subparsers = parser.add_subparsers(dest="command", required=True)
generate = subparsers.add_parser("generate", help="generate validated canonical shards")
generate.add_argument("--config", default=str(DEFAULT_CONFIG))
generate.add_argument("--output", required=True)
generate.add_argument("--limit", type=int)
generate.add_argument("--workers", type=int, default=1)
generate.set_defaults(func=command_generate)
audit = subparsers.add_parser("audit", help="re-read, hash and semantically validate shards")
audit.add_argument("--output", required=True)
audit.add_argument("--config")
audit.add_argument("--manifest")
audit.add_argument("--workers", type=int, default=1)
audit.set_defaults(func=command_audit)
build = subparsers.add_parser(
"build", help="generate the dataset and independently post-write audit every shard"
)
build.add_argument("--config", default=str(DEFAULT_CONFIG))
build.add_argument("--output", required=True)
build.add_argument("--limit", type=int)
build.add_argument("--workers", type=int, default=1)
build.set_defaults(func=command_build)
show_plan = subparsers.add_parser("show-plan", help="print exact per-100 mixture")
show_plan.add_argument("--config", default=str(DEFAULT_CONFIG))
show_plan.set_defaults(func=command_show_plan)
render = subparsers.add_parser("render-sample", help="render one canonical record as SFT messages")
render.add_argument("--config", default=str(DEFAULT_CONFIG))
render.add_argument("--index", type=int, default=0)
render.set_defaults(func=command_render_sample)
return parser
def main(argv: list[str] | None = None) -> int:
parser = build_parser()
args = parser.parse_args(argv)
try:
return int(args.func(args))
except Exception as exc:
print(f"ERROR: {exc}", file=sys.stderr)
return 1
if __name__ == "__main__":
raise SystemExit(main())