File size: 7,350 Bytes
651ad49 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | """Build a balanced focus set from real parser failures and nearby DMHY rows.
The goal is to repair boundary mistakes without teaching the model that every
special-like token should dominate title/season/episode context. Reported
failures are resolved back to their authoritative char BIO rows from DMHY when
possible, then mixed with repaired rows, broad boundary-pattern rows, random
context, and a small number of deterministic hard cases.
"""
from __future__ import annotations
import argparse
import json
import random
import re
from collections import Counter
from pathlib import Path
from typing import Iterable, Sequence
from anifilebert.label_repairs import repair_jsonl_item
from tools.build_path_focus_dataset import build_cases as build_path_cases
from tools.build_repair_focus_dataset import manual_cases as repair_manual_cases
BOUNDARY_FOCUS_RE = re.compile(
r"(?ix)"
r"(?:"
r"\b(?:NCOP|NCED|OP|ED|PV|CM|TVCM|OVA|OAD|SP|Menu)\s*[_\-.]?\s*(?:\d{0,4}|ep\.?\s*\d{1,4}|ver\.?\s*\d{1,2})\b|"
r"\b(?:Blu[-_ ]?ray\s*&\s*DVD|BD[-_ ]?BOX|Disc\.?\s*\d+|Vol\.?\s*\d+)\b|"
r"\b(?:S\d{1,2}[_\-.]?(?:OP|ED|NCOP|NCED)|NC(?:OP|ED)\d+[_\-.]?\d+)\b|"
r"\b(?:II|III|IV|V|Ⅱ|Ⅲ|Ⅳ|Ⅴ)\s+(?:OVA|OAD|CM|PV|OP|ED|Menu)\b|"
r"(?:弐|貳|贰|二|三|參|叁|参)\s*(?:ノ|の|之)\s*(?:章|期|季|部)|"
r"第\s*(?:\d+|[一二三四五六七八九十兩两貳贰弐弍參叁参肆伍陸陆柒捌玖]+)\s*[季期部章]|"
r"\b(?:Act|Part)\s+(?:II|III|IV|V)\b|"
r"\b(?:h\.?264|x\.?264|h\.?265|x\.?265|AVC[-_ ]?YUV|yuv\d+p?\d*|AAC\([^)]*\))\b"
r")"
)
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--input", required=True, help="Authoritative char JSONL dataset")
parser.add_argument("--output", required=True, help="Output focus JSONL")
parser.add_argument(
"--failure-report",
action="append",
default=[],
help="Parse/case metrics JSON with failures to resolve back to DMHY rows",
)
parser.add_argument("--context-samples", type=int, default=70000)
parser.add_argument("--max-boundary-rows", type=int, default=90000)
parser.add_argument("--repeat-failure", type=int, default=18)
parser.add_argument("--repeat-repaired", type=int, default=2)
parser.add_argument("--repeat-boundary", type=int, default=1)
parser.add_argument("--repeat-manual", type=int, default=8)
parser.add_argument("--repeat-path", type=int, default=24)
parser.add_argument("--seed", type=int, default=42)
return parser.parse_args()
def iter_jsonl(path: Path) -> Iterable[dict]:
with path.open("r", encoding="utf-8") as handle:
for line in handle:
line = line.strip()
if line:
yield json.loads(line)
def reservoir_add(rows: list[dict], item: dict, limit: int, rng: random.Random, seen_count: int) -> None:
if limit <= 0:
return
if len(rows) < limit:
rows.append(item)
return
index = rng.randrange(seen_count)
if index < limit:
rows[index] = item
def failure_filenames(report_paths: Sequence[str]) -> set[str]:
filenames: set[str] = set()
for value in report_paths:
path = Path(value)
if not path.exists():
continue
report = json.loads(path.read_text(encoding="utf-8"))
modes = report.get("modes", {})
for mode in modes.values():
if not isinstance(mode, dict):
continue
for failure in mode.get("failures", []):
filename = failure.get("filename")
if filename:
filenames.add(str(filename))
for result in mode.get("results", []):
if result.get("ok", True):
continue
filename = result.get("filename")
if filename:
filenames.add(str(filename))
return filenames
def clone_with_source(item: dict, source: str) -> dict:
cloned = dict(item)
cloned["source"] = source
return cloned
def main() -> None:
args = parse_args()
rng = random.Random(args.seed)
input_path = Path(args.input)
output_path = Path(args.output)
targets = failure_filenames(args.failure_report)
failure_rows: list[dict] = []
repaired_rows: list[dict] = []
boundary_rows: list[dict] = []
context_rows: list[dict] = []
seen_filenames: set[str] = set()
source_counts: Counter[str] = Counter()
total_rows = 0
boundary_seen = 0
context_seen = 0
for item in iter_jsonl(input_path):
total_rows += 1
filename = str(item.get("filename") or "")
if not filename:
continue
if filename in targets and filename not in seen_filenames:
failure_rows.append(clone_with_source(item, "balanced_report_failure"))
seen_filenames.add(filename)
continue
_repaired_item, repairs = repair_jsonl_item(item)
if repairs and filename not in seen_filenames:
repaired_rows.append(clone_with_source(item, "balanced_repaired_context"))
seen_filenames.add(filename)
continue
if BOUNDARY_FOCUS_RE.search(filename) and filename not in seen_filenames:
boundary_seen += 1
reservoir_add(
boundary_rows,
clone_with_source(item, "balanced_boundary_pattern"),
args.max_boundary_rows,
rng,
boundary_seen,
)
seen_filenames.add(filename)
continue
if filename in seen_filenames:
continue
context_seen += 1
reservoir_add(context_rows, clone_with_source(item, "balanced_random_context"), args.context_samples, rng, context_seen)
rows: list[dict] = []
rows.extend(failure_rows * max(1, args.repeat_failure))
rows.extend(repaired_rows * max(1, args.repeat_repaired))
rows.extend(boundary_rows * max(1, args.repeat_boundary))
rows.extend(context_rows)
for item in repair_manual_cases():
rows.extend([clone_with_source(item, "balanced_manual_repair")] * max(1, args.repeat_manual))
for item in build_path_cases("balanced_manual_path"):
rows.extend([item] * max(1, args.repeat_path))
rng.shuffle(rows)
output_path.parent.mkdir(parents=True, exist_ok=True)
with output_path.open("w", encoding="utf-8") as handle:
for item in rows:
handle.write(json.dumps(item, ensure_ascii=False, separators=(",", ":")) + "\n")
source_counts[str(item.get("source", "unknown"))] += 1
print(
json.dumps(
{
"input": str(input_path),
"output": str(output_path),
"total_rows": total_rows,
"failure_targets": len(targets),
"matched_failure_rows": len(failure_rows),
"repaired_rows": len(repaired_rows),
"boundary_rows": len(boundary_rows),
"context_rows": len(context_rows),
"written_rows": len(rows),
"source_counts": dict(source_counts),
},
ensure_ascii=False,
indent=2,
)
)
if __name__ == "__main__":
main()
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