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https://huggingface.co/datasets/gustawdaniel/ngram-google-2012/resolve/main/process.py
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curl -L -o process.py https://huggingface.co/datasets/gustawdaniel/ngram-google-2012/resolve/main/process.py
1.94 kB
| import gzip | |
| from collections import defaultdict | |
| from spellchecker import SpellChecker | |
| import json | |
| from tqdm import tqdm | |
| config = [ | |
| {'title': 'English', 'lang': 'en', 'out': 'out/en.tsv'}, | |
| {'title': 'Spanish', 'lang': 'es', 'out': 'out/es.tsv'}, | |
| {'title': 'French', 'lang': 'fr', 'out': 'out/fr.tsv'}, | |
| {'title': 'German', 'lang': 'de', 'out': 'out/de.tsv'}, | |
| {'title': 'Russian', 'lang': 'ru', 'out': 'out/ru.tsv'} | |
| ] | |
| def get_file_dict(file_path, language): | |
| spell = SpellChecker(language=language) | |
| count_dict = defaultdict(int) | |
| with gzip.open(file_path, mode="rt") as f: | |
| file_content = f.readlines() | |
| for line in tqdm(file_content): | |
| parts = [el for el in line.split('\t')] | |
| word = parts[0].split("_")[0] | |
| if word in spell.known([word]): | |
| count_dict[word] += int(parts[2]) | |
| return count_dict | |
| def url_to_path(url): | |
| parts = url.rsplit('/', 1) | |
| return 'data/' + parts[-1] | |
| def get_paths(title): | |
| with open('raw/dict.jsonl', 'r') as f: | |
| items = [json.loads(line) for line in f] | |
| links = [ | |
| link['url'] | |
| for item in items if item['title'] == title | |
| for section in item['sections'] if section['name'] == '1-grams' | |
| for link in section['links'] if link['name'].isalpha() and len(link['name']) == 1 | |
| ] | |
| return list(map(url_to_path, links)) | |
| for single_set in config: | |
| set_dict = defaultdict(int) | |
| paths = get_paths(single_set['title']) | |
| print(paths) | |
| # continue | |
| for path in tqdm(paths): | |
| new_dict = get_file_dict(path, single_set['lang']) | |
| set_dict.update(new_dict) | |
| with open(single_set['out'], "a") as f: | |
| for key, value in set_dict.items(): | |
| line = f"{key}\t{value}\n" | |
| f.write(line) | |
| # print(set_dict) | |
| # print(get_file_dict('data/googlebooks-eng-all-1gram-20120701-a.gz', 'en')) | |