File size: 5,625 Bytes
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import json
import sys
from collections import Counter
from pathlib import Path
def spans(tokens, labels):
i = 0
n = min(len(tokens), len(labels))
while i < n:
lab = labels[i]
if not isinstance(lab, str) or not lab.startswith('B-'):
i += 1
continue
ent = lab[2:]
start = i
i += 1
while i < n and labels[i] == f'I-{ent}':
i += 1
end = i
text = ''.join(tokens[start:end])
yield ent, start, end, text
def normalize_season_text(text: str) -> str:
t = (text or '').strip()
if not t:
return t
return ' '.join(t.split())
def main() -> None:
parser = argparse.ArgumentParser(description='Analyze season label distribution from JSONL char labels.')
parser.add_argument('--input', required=True)
parser.add_argument('--top-k', type=int, default=30)
parser.add_argument('--sample-limit', type=int, default=8)
parser.add_argument('--output', default=None)
args = parser.parse_args()
path = Path(args.input)
season_counter = Counter()
season_examples = {}
weird_patterns = {
'roman': 0,
'ni_like': 0,
'cjk_ord': 0,
's_prefix': 0,
'english_ord': 0,
'digits_only': 0,
'other': 0,
}
target_rows = {
'kakuriyo_ni': [],
'fire_force_nino': [],
}
rows = 0
season_rows = 0
with path.open('r', encoding='utf-8') as f:
for line in f:
line = line.strip()
if not line:
continue
rows += 1
obj = json.loads(line)
tokens = obj.get('tokens') or []
labels = obj.get('labels') or []
filename = obj.get('filename') or ''
lower = filename.lower()
if 'kakuriyo no yadomeshi ni' in lower and len(target_rows['kakuriyo_ni']) < args.sample_limit:
target_rows['kakuriyo_ni'].append({
'filename': filename,
'season_field': obj.get('season'),
'title_field': obj.get('title'),
})
if (
'炎炎' in filename
and any(key in filename for key in ['弐ノ章', '貳ノ章', '貳之章'])
and len(target_rows['fire_force_nino']) < args.sample_limit
):
target_rows['fire_force_nino'].append({
'filename': filename,
'season_field': obj.get('season'),
'title_field': obj.get('title'),
})
found = False
for ent, _s, _e, text in spans(tokens, labels):
if ent != 'SEASON':
continue
found = True
season_rows += 1
season = normalize_season_text(text)
season_counter[season] += 1
if season not in season_examples:
season_examples[season] = filename
upper = season.upper()
if upper in {'I', 'II', 'III', 'IV', 'V', 'VI'}:
weird_patterns['roman'] += 1
elif season.lower().startswith('ni'):
weird_patterns['ni_like'] += 1
elif any(ch in season for ch in ['第', '季', '章', '部', '期', '弐', '貳', '二']):
weird_patterns['cjk_ord'] += 1
elif upper.startswith('S') and len(upper) >= 2 and upper[1].isdigit():
weird_patterns['s_prefix'] += 1
elif any(x in season.lower() for x in ['season', 'st', 'nd', 'rd', 'th']):
weird_patterns['english_ord'] += 1
elif season.isdigit():
weird_patterns['digits_only'] += 1
else:
weird_patterns['other'] += 1
if not found:
pass
result = {
'input': str(path),
'rows': rows,
'season_span_count': int(sum(season_counter.values())),
'unique_season_values': len(season_counter),
'top_season_values': [
{
'season': season,
'count': count,
'percent_of_season_spans': (count / max(1, sum(season_counter.values()))) * 100.0,
'example_filename': season_examples.get(season),
}
for season, count in season_counter.most_common(args.top_k)
],
'focus_values': {
key: season_counter.get(key, 0)
for key in [
'Ni',
'ni',
'NI',
'II',
'2',
'02',
'S2',
'S02',
'Season 2',
'2nd',
'第2季',
'第二季',
'弐ノ章',
'貳ノ章',
'貳之章',
'貳',
]
},
'pattern_buckets': weird_patterns,
'target_rows': target_rows,
}
text = json.dumps(result, ensure_ascii=False, indent=2)
if args.output:
out = Path(args.output)
out.parent.mkdir(parents=True, exist_ok=True)
out.write_text(text + '\n', encoding='utf-8')
print(f'WROTE {out}')
try:
print(text)
except UnicodeEncodeError:
# Some Windows consoles still default to GBK. Emit UTF-8 bytes directly.
sys.stdout.buffer.write((text + '\n').encode('utf-8', errors='replace'))
if __name__ == '__main__':
main()
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