import os def _parse_article(text: str, id: str, drop_titles: bool = False, prepend_title_stack: bool = False): def non_empty(s): return s and not s.isspace() ### Split the text into sections raw_sections = text.strip().split("========,") sections = [] for raw_section in raw_sections[1:]: # Skip the first split as it will be empty lines = raw_section.split("\n") header = lines[0].split(',') level, title = header[0].strip(), header[1].strip() sentences = [stripped_sent for sent in lines[1:] if (stripped_sent := sent.strip())] sections.append({ 'level': int(level), 'title': title, 'sentences': sentences }) ### Parse the sections into sentences doc_id = id doc_ids = [] doc_sentences = [] doc_levels = [] doc_titles_mask = [] doc_labels = [] titles = [] for sec_idx, section in enumerate(sections): level = section['level'] title = section['title'] sentences = [sent for sent in section['sentences'] if non_empty(sent)] if prepend_title_stack: # Remove irrelevant titles history while titles and (last_level := titles[-1][0]) >= level: titles.pop() # Add current title titles.append((level, title)) title_str = ' '.join([t for l, t in titles if non_empty(t)]) # Don't keep 'preface' in the titles history if title.lower() == 'preface.' and level == 1: titles.pop() else: title_str = title # If section is empty, continue if not sentences: continue # Add the title as a single sentence if not drop_titles and non_empty(title_str): # doc_ids.append(f'{doc_id}_sec{sec_idx}_title') doc_ids.append(f'{sec_idx}') doc_sentences.append(title_str) doc_titles_mask.append(1) doc_levels.append(level) doc_labels.append(0) # Add the sentences for sent_idx, sent in enumerate(sentences): doc_ids.append(f'{sec_idx}_{sent_idx}') doc_sentences.append(sent) doc_titles_mask.append(0) doc_levels.append(level) doc_labels.append(1 if sent_idx == len(sentences) - 1 else 0) out = { 'id': doc_id, 'ids': doc_ids, 'sentences': doc_sentences, 'titles_mask': doc_titles_mask, 'levels': doc_levels, 'labels': doc_labels } if drop_titles: out.pop('titles_mask') out.pop('levels') return out def parse_split_files(split_path: str, drop_titles: bool = False, prepend_title_stack: bool = False): for root, dirs, files in os.walk(split_path): for fname in files: fpath = os.path.join(root, fname) with open(fpath, 'r', encoding='utf-8') as f: raw_text = f.read() yield _parse_article( text = raw_text, id = fname, drop_titles = drop_titles, prepend_title_stack = prepend_title_stack )