Datasets:
| import glob, json, os, re | |
| import pyarrow.parquet as pq | |
| TERMINALS = set('.?!') | |
| def is_eligible(s): | |
| s = s.strip() | |
| if not s or s[-1] not in TERMINALS: | |
| return False | |
| if any(c in s for c in ':;"“”‘’!—–()[]'): | |
| return False | |
| words = s.split() | |
| if not (6 <= len(words) <= 24): | |
| return False | |
| if not words[0][0].isalpha() or not words[0][0].isupper(): | |
| return False | |
| return True | |
| gutenberg_count = 0 | |
| for f in glob.glob('/opt/vox/temp/downloads/clean_corpora/gutenberg_books/*.txt'): | |
| for line in open(f, errors='ignore'): | |
| line = line.strip() | |
| if is_eligible(line): | |
| gutenberg_count += 1 | |
| ubuntu_count = 0 | |
| if os.path.exists('/opt/vox/temp/downloads/clean_corpora/ubuntu_dialogue_qa/train.parquet'): | |
| t = pq.read_table('/opt/vox/temp/downloads/clean_corpora/ubuntu_dialogue_qa/train.parquet') | |
| for row in t.to_pylist(): | |
| txt = (row.get('question') or '') + ' ' + (row.get('answer') or '') | |
| for part in txt.split('.'): | |
| p = part.strip() + '.' | |
| if is_eligible(p): | |
| ubuntu_count += 1 | |
| print(f'Gutenberg eligible sentences: {gutenberg_count}') | |
| print(f'Ubuntu eligible sentences: {ubuntu_count}') | |