Fourteen corpora split and classified: aesop, bierce, chekhov, holmes, keefe, lawson, lorimer, maupassant, nobody, plaintales, poe, torchy, wallingford and winesburg, each with its splitter and the hand-written groups and pages; catalogue v2 and v3; and the shared splitters gutenberg_chunks.py, se_split.py and se_build.py. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019rwKTmug58sEsJ72AuWsEi
72 lines
3.5 KiB
Python
72 lines
3.5 KiB
Python
"""Split the Project Gutenberg plain text of Anton Chekhov, *The Schoolmistress, and Other Stories*
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(Constance Garnett translation, "Tales of Chekhov, Volume 9", eBook #1732), into stories, then cut
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scenes with the same rule as ../chunk.py, ../jacobs/split_se.py and ../wharton/split_gutenberg.py
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(paragraph boundaries, ~320 words, tail >= 80).
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Deterministic: titles are the 21 contents entries, matched as whole upper-case lines after the
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contents; roman-numeral section headings and the "A Wayfarer's Story" subtitle inside Champagne are
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dropped; the Gutenberg licence after END is dropped."""
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import json, pathlib, re
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TITLES = ['The Schoolmistress', 'A Nervous Breakdown', 'Misery', 'Champagne', 'After the Theatre',
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"A Lady's Story", 'In Exile', 'The Cattle-Dealers', 'Sorrow', 'On Official Duty',
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'The First-Class Passenger', 'A Tragic Actor', 'A Transgression', 'Small Fry',
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'The Requiem', 'In the Coach-House', 'Panic Fears', 'The Bet',
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"The Head-Gardener's Story", 'The Beauties', 'The Shoemaker and the Devil']
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TARGET = 320
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VOLUME = 'The Schoolmistress, and Other Stories (Anton Chekhov, tr. Constance Garnett, 1918)'
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def norm(s):
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return s.replace('’', "'").strip()
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raw = pathlib.Path('corpus/schoolmistress-and-other-stories.txt').read_text(encoding='utf-8').replace('\r', '')
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raw = raw[:raw.index('*** END OF THE PROJECT GUTENBERG')]
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lines = raw.split('\n')
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start = next(i for i, l in enumerate(lines) if norm(l) == 'CONTENTS')
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heads = []
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for t in TITLES:
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hits = [i for i, l in enumerate(lines) if i > start + 22 and norm(l) == t.upper()]
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assert len(hits) == 1, (t, hits)
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heads.append(hits[0])
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assert heads == sorted(heads)
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stories = []
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for n, (t, a) in enumerate(zip(TITLES, heads)):
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b = heads[n + 1] if n + 1 < len(heads) else len(lines)
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body = '\n'.join(lines[a + 1:b])
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paras = []
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for p in re.split(r'\n\s*\n', body):
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p = re.sub(r'\s+', ' ', p).strip()
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if not p or re.fullmatch(r'[IVX]+\.?', p): continue
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if norm(p).upper() == "A WAYFARER'S STORY": continue
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paras.append(p)
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stories.append({'volume': VOLUME, 'title': t, 'words': sum(len(p.split()) for p in paras),
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'text': '\n\n'.join(paras)})
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chunks = []
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for si, s in enumerate(stories):
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buf, n = [], 0
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for p in s['text'].split('\n\n'):
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w = len(p.split())
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if n + w > TARGET and buf:
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chunks.append({'story': si, 'title': s['title'], 'volume': s['volume'], 'text': ' '.join(buf), 'words': n})
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buf, n = [], 0
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buf.append(p); n += w
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if buf and n >= 80:
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chunks.append({'story': si, 'title': s['title'], 'volume': s['volume'], 'text': ' '.join(buf), 'words': n})
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elif buf:
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# tail too short to stand alone: fold into the previous scene rather than drop it
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if chunks and chunks[-1]['story'] == si:
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chunks[-1]['text'] += ' ' + ' '.join(buf)
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chunks[-1]['words'] += n
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else:
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chunks.append({'story': si, 'title': s['title'], 'volume': s['volume'], 'text': ' '.join(buf), 'words': n})
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pathlib.Path('stories.json').write_text(json.dumps(stories, indent=1, ensure_ascii=False), encoding='utf-8')
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pathlib.Path('chunks.json').write_text(json.dumps(chunks, ensure_ascii=False), encoding='utf-8')
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for si, s in enumerate(stories):
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print(f"{si:2} {s['title']:28} {s['words']:6} words {sum(c['story']==si for c in chunks):3} scenes")
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ws = sorted(c['words'] for c in chunks)
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print(f'stories {len(stories)} scenes {len(chunks)} words/scene min {ws[0]} median {ws[len(ws)//2]} max {ws[-1]} total {sum(ws):,}')
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