Datasets:
Download scripts/parse_zapis.py from PiotrSty/sejm-committee-transcripts: direct link, hf CLI and curl.
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https://huggingface.co/datasets/PiotrSty/sejm-committee-transcripts/resolve/main/scripts/parse_zapis.py
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hf download hf://datasets/PiotrSty/sejm-committee-transcripts/scripts/parse_zapis.py
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curl -L -o parse_zapis.py https://huggingface.co/datasets/PiotrSty/sejm-committee-transcripts/resolve/main/scripts/parse_zapis.py
4.79 kB
| """Parser for Sejm committee 'pelny zapis przebiegu posiedzenia' PDFs.""" | |
| import re, subprocess, hashlib, unicodedata | |
| HEADER_PAT = re.compile( | |
| r"^\s*(X{0,2}I?X kadencja|KANCELARIA SEJMU|Biuro Komisji Sejmowych|" | |
| r"PEŁNY ZAPIS PRZEBIEGU POSIEDZENIA|Pełny zapis przebiegu posiedzenia|¢.*)\s*$" | |
| ) | |
| PAGEFOOT_PAT = re.compile(r"^\s*[a-z]{1,3}\.?\s+\d{1,4}\s*$") | |
| PAGENUM_PAT = re.compile(r"^\s*\d{1,4}\s*$") | |
| SPEAKER_ANCHOR = re.compile( | |
| r"^(?:Przewodnicząc\w*|Wiceprzewodnicząc\w*|Poseł|Posłanka|poseł|posłanka|" | |
| r"Wicemarszałek|Marszałek|Sekretarz stanu|sekretarz stanu|podsekretarz stanu|" | |
| r"Podsekretarz stanu|minister|Minister|Wiceminister|Legislator|legislator|" | |
| r"Protokolant|protokolant|Głos z sali|Głos z gości|Prezes|prezes|Wiceprezes|" | |
| r"wiceprezes|p\.o\. ?\S*|dyrektor|Dyrektor|wicedyrektor|Wicedyrektor|" | |
| r"Przedstawiciel\w*|przedstawiciel\w*|Sprawozdawca|sprawozdawca|Komendant|" | |
| r"komendant|Naczelnik|naczelnik|Rzecznik|rzecznik|Prokurator|Sędzia|Doradca|" | |
| r"doradca|Ekspert|ekspert|Mecenas|gen\.|nadinsp\.|insp\.|st\. bryg\.|płk|ppłk|" | |
| r"Pełnomocnik|pełnomocnik|Szef|szef|Wojskowy|Pracownik|pracownik|Profesor|" | |
| r"prof\.|Komisarz|komisarz)\b" | |
| ) | |
| def is_speaker_line(content: str) -> bool: | |
| c = content.strip() | |
| if not (3 <= len(c) <= 120): | |
| return False | |
| if re.search(r"https?://|www\.|druk nr|\barts?\b", c, re.I): | |
| return False | |
| # wrapped preamble fragments: lowercase start with commas ("... poseł X (KO), przewodniczącej ..., rozpatrzyła") | |
| if c[0].islower() and ("," in c or " rozpatrz" in c or "uznała" in c or "przyjęła" in c): | |
| return False | |
| return bool(SPEAKER_ANCHOR.match(c)) | |
| def dehyphenate(text: str) -> str: | |
| # soft hyphenation join: "Kon-\nrada" -> "Konrada" | |
| return re.sub(r"([a-ząćęłńóśźż])-\s*\n\s*([a-ząćęłńóśźż])", r"\1\2", text) | |
| def pdf_text(path: str) -> str: | |
| r = subprocess.run( | |
| ["pdftotext", "-layout", "-enc", "UTF-8", path, "-"], | |
| capture_output=True, text=True, encoding="utf-8", errors="replace", check=True) | |
| return r.stdout | |
| def parse_pdf(path: str): | |
| """Return (transcript_type, header_text, turns) where turns = [(speaker, text)].""" | |
| raw = pdf_text(path) | |
| if "PEŁNY ZAPIS" not in raw and "pełny zapis" not in raw.lower()[:2000]: | |
| return "other", None, [] | |
| lines = raw.splitlines() | |
| # locate start: first speaker line | |
| start = None | |
| for i, ln in enumerate(lines): | |
| s = ln.rstrip() | |
| if not s.strip(): | |
| continue | |
| if len(s) - len(s.lstrip()) <= 6 and s.strip().endswith(":") and is_speaker_line(s.strip()[:-1]): | |
| start = i | |
| break | |
| if start is None: | |
| return "nospeaker", None, [] | |
| preamble = [] | |
| # collect preamble (between title and first speaker), cleaned | |
| for ln in lines[:start]: | |
| if HEADER_PAT.match(ln) or PAGEFOOT_PAT.match(ln) or PAGENUM_PAT.match(ln) or not ln.strip(): | |
| continue | |
| preamble.append(ln.strip()) | |
| turns = [] | |
| speaker = None | |
| body = [] | |
| def flush(): | |
| nonlocal speaker, body | |
| if speaker and body: | |
| txt = dehyphenate("\n".join(body)) | |
| txt = re.sub(r"[ \t]+", " ", txt).strip() | |
| if len(txt) >= 15: | |
| turns.append((speaker, txt)) | |
| elif speaker and not body: | |
| pass | |
| speaker, body = None, [] | |
| i = start | |
| while i < len(lines): | |
| ln = lines[i].rstrip() | |
| indent = len(ln) - len(ln.lstrip()) | |
| s = ln.strip() | |
| if not s: | |
| i += 1 | |
| continue | |
| if HEADER_PAT.match(ln) or PAGEFOOT_PAT.match(ln) or PAGENUM_PAT.match(ln): | |
| i += 1 | |
| continue | |
| if indent <= 6 and s.endswith(":") and s[:-1] and is_speaker_line(s[:-1]): | |
| flush() | |
| speaker = s[:-1].strip() | |
| # wrapped name continuation: next line also short, no colon, col<=6, next-next ends with ':'? skip for now | |
| i += 1 | |
| continue | |
| if speaker is not None: | |
| body.append(s) | |
| else: | |
| # unexpected col-0 text after transcript start; treat as preamble footer noise | |
| preamble.append(s) | |
| i += 1 | |
| flush() | |
| return "pelny_zapis", " ".join(preamble), turns | |
| def doc_id(term, code, num, text): | |
| return hashlib.sha1(f"{term}/{code}/{num}/{text}".encode()).hexdigest()[:16] | |
| if __name__ == "__main__": | |
| import sys, json | |
| for p in sys.argv[1:]: | |
| ttype, pre, turns = parse_pdf(p) | |
| print(f"### {p}: type={ttype} turns={len(turns)} preamble_chars={len(pre or '')}") | |
| for sp, tx in turns[:4]: | |
| print(f" [{sp}] {tx[:140]}...") | |
| print(f" ... last: [{turns[-1][0] if turns else '-'}]") | |