Datasets:
Sub-tasks:
language-modeling
Languages:
Persian
Multilinguality:
monolingual
Size Categories:
10B<n<100B
Tags:
License:
| import sys | |
| import math | |
| import re | |
| import random | |
| import json | |
| from pathlib import Path | |
| __FILE_COUNT__ = 60 | |
| doc_regex = re.compile("<doc id=\"([^\"]+)_\\d+\">") | |
| file_names = [] | |
| file_pointers = {} | |
| record_counter = {} | |
| line_counter = 0 | |
| sum_token_count = 0 | |
| sum_token_sq = 0 | |
| sum_char_count = 0 | |
| sum_char_sq = 0 | |
| source_dist = {} | |
| dataset_names = { | |
| "2109_0.txt": "oscar_2109", | |
| "2109_1.txt": "oscar_2109", | |
| "2109_2.txt": "oscar_2109", | |
| "2109_3.txt": "oscar_2109", | |
| "2109_4.txt": "oscar_2109", | |
| "2109_5.txt": "oscar_2109", | |
| "2109_6.txt": "oscar_2109", | |
| "2109_7.txt": "oscar_2109", | |
| "2109_8.txt": "oscar_2109", | |
| "2109_9.txt": "oscar_2109", | |
| "2201_0.txt": "oscar_2201", | |
| "2201_1.txt": "oscar_2201", | |
| "2201_2.txt": "oscar_2201", | |
| "2201_3.txt": "oscar_2201", | |
| "2201_4.txt": "oscar_2201", | |
| "2201_5.txt": "oscar_2201", | |
| "2201_6.txt": "oscar_2201", | |
| "2201_7.txt": "oscar_2201", | |
| "2301_0.txt": "oscar_2301", | |
| "2301_10.txt": "oscar_2301", | |
| "2301_11.txt": "oscar_2301", | |
| "2301_1.txt": "oscar_2301", | |
| "2301_2.txt": "oscar_2301", | |
| "2301_3.txt": "oscar_2301", | |
| "2301_4.txt": "oscar_2301", | |
| "2301_5.txt": "oscar_2301", | |
| "2301_6.txt": "oscar_2301", | |
| "2301_7.txt": "oscar_2301", | |
| "2301_8.txt": "oscar_2301", | |
| "2301_9.txt": "oscar_2301", | |
| "commoncrawl_fa_merged_aa.txt": "cc", | |
| "commoncrawl_fa_merged_ab.txt": "cc", | |
| "commoncrawl_fa_merged_ac.txt": "cc", | |
| "commoncrawl_fa_merged_ad.txt": "cc", | |
| "commoncrawl_fa_merged_ae.txt": "cc", | |
| "commoncrawl_fa_merged_af.txt": "cc", | |
| "commoncrawl_fa_merged_ag.txt": "cc", | |
| "commoncrawl_fa_merged_ah.txt": "cc", | |
| "commoncrawl_fa_merged_ai.txt": "cc", | |
| "commoncrawl_fa_merged_aj.txt": "cc", | |
| "fas-ir_web-public_2019_100K-sentences.txt": "web-2019_100K", | |
| "fas-ir_web-public_2019_10K-sentences.txt": "web-2019_10K", | |
| "fas-ir_web-public_2019_1M-sentences.txt": "web-2019_1M", | |
| "fas-ir_web-public_2019_300K-sentences.txt": "web-2019_300K", | |
| "fas-ir_web-public_2019_30K-sentences.txt": "web-2019_30K", | |
| "fas_news_2019_100K-sentences.txt": "news_2019_100K", | |
| "fas_news_2019_10K-sentences.txt": "news_2019_10K", | |
| "fas_news_2019_300K-sentences.txt": "news_2019_300K", | |
| "fas_news_2019_30K-sentences.txt": "news_2019_30K", | |
| "fas_news_2020_100K-sentences.txt": "news_2020_100K", | |
| "fas_news_2020_10K-sentences.txt": "news_2020_10K", | |
| "fas_news_2020_300K-sentences.txt": "news_2020_300K", | |
| "fas_news_2020_30K-sentences.txt": "news_2020_30K", | |
| "fas_newscrawl_2011_100K-sentences.txt": "newscrawl_2011_100K", | |
| "fas_newscrawl_2011_10K-sentences.txt": "newscrawl_2011_10K", | |
| "fas_newscrawl_2011_1M-sentences.txt": "newscrawl_2011_1M", | |
| "fas_newscrawl_2011_300K-sentences.txt": "newscrawl_2011_300K", | |
| "fas_newscrawl_2011_30K-sentences.txt": "newscrawl_2011_30K", | |
| "fas_newscrawl_2015_100K-sentences.txt": "newscrawl_2015_100K", | |
| "fas_newscrawl_2015_10K-sentences.txt": "newscrawl_2015_10K", | |
| "fas_newscrawl_2015_1M-sentences.txt": "newscrawl_2015_1M", | |
| "fas_newscrawl_2015_300K-sentences.txt": "newscrawl_2015_300K", | |
| "fas_newscrawl_2015_30K-sentences.txt": "newscrawl_2015_30K", | |
| "fas_newscrawl_2016_100K-sentences.txt": "newscrawl_2016_100K", | |
| "fas_newscrawl_2016_10K-sentences.txt": "newscrawl_2016_10K", | |
| "fas_newscrawl_2016_1M-sentences.txt": "newscrawl_2016_1M", | |
| "fas_newscrawl_2016_300K-sentences.txt": "newscrawl_2016_300K", | |
| "fas_newscrawl_2016_30K-sentences.txt": "newscrawl_2016_30K", | |
| "fas_newscrawl_2017_100K-sentences.txt": "newscrawl_2017_100K", | |
| "fas_newscrawl_2017_10K-sentences.txt": "newscrawl_2017_10K", | |
| "fas_newscrawl_2017_1M-sentences.txt": "newscrawl_2017_1M", | |
| "fas_newscrawl_2017_300K-sentences.txt": "newscrawl_2017_300K", | |
| "fas_newscrawl_2017_30K-sentences.txt": "newscrawl_2017_30K", | |
| "fas_newscrawl_2019_100K-sentences.txt": "newscrawl_2019_100K", | |
| "fas_newscrawl_2019_10K-sentences.txt": "newscrawl_2019_10K", | |
| "fas_newscrawl_2019_1M-sentences.txt": "newscrawl_2019_1M", | |
| "fas_newscrawl_2019_300K-sentences.txt": "newscrawl_2019_300K", | |
| "fas_newscrawl_2019_30K-sentences.txt": "newscrawl_2019_30K", | |
| "fas_wikipedia_2010_100K-sentences.txt": "wikipedia_2010_100K", | |
| "fas_wikipedia_2010_10K-sentences.txt": "wikipedia_2010_10K", | |
| "fas_wikipedia_2010_300K-sentences.txt": "wikipedia_2010_300K", | |
| "fas_wikipedia_2010_30K-sentences.txt": "wikipedia_2010_30K", | |
| "fas_wikipedia_2012_100K-sentences.txt": "wikipedia_2012_100K", | |
| "fas_wikipedia_2012_10K-sentences.txt": "wikipedia_2012_10K", | |
| "fas_wikipedia_2012_300K-sentences.txt": "wikipedia_2012_300K", | |
| "fas_wikipedia_2012_30K-sentences.txt": "wikipedia_2012_30K", | |
| "fas_wikipedia_2014_100K-sentences.txt": "wikipedia_2014_100K", | |
| "fas_wikipedia_2014_10K-sentences.txt": "wikipedia_2014_10K", | |
| "fas_wikipedia_2014_1M-sentences.txt": "wikipedia_2014_1M", | |
| "fas_wikipedia_2014_300K-sentences.txt": "wikipedia_2014_300K", | |
| "fas_wikipedia_2014_30K-sentences.txt": "wikipedia_2014_30K", | |
| "poems_merged.txt": "poems", | |
| "TEP_fa.txt": "tep", | |
| "voa_persian_2003_2008_cleaned.txt": "voa", | |
| "w2c_merged.txt": "w2c", | |
| } | |
| def stats(tokens): | |
| global line_counter, sum_token_count, sum_token_sq, sum_char_count, sum_char_sq | |
| line_counter = line_counter + 1 | |
| sum_token_count = sum_token_count + len(tokens) | |
| sum_token_sq = sum_token_sq + len(tokens) * len(tokens) | |
| sum_char = sum([len(t) for t in tokens]) | |
| sum_char_count = sum_char_count + sum_char | |
| sum_char_sq = sum_char_sq + sum_char * sum_char | |
| output_folder = sys.argv[1] | |
| Path(output_folder).mkdir(parents=True, exist_ok=True) | |
| for i in range(__FILE_COUNT__): | |
| fn = f"jomleh_{i+1}.jsonl" | |
| file_names.append(fn) | |
| # file_pointers[fn] = open(f'{output_folder}/jomleh_{i+1}.jsonl', 'w') | |
| record_counter[fn] = 0 | |
| seen = set() | |
| tokens = [] | |
| for token in sys.stdin: | |
| token = token.strip() | |
| if token.startswith("<doc"): | |
| tokens = [] | |
| doc_id = doc_regex.match(token).groups()[0] | |
| ds_name = dataset_names[doc_id] if doc_id in dataset_names else doc_id | |
| source_dist[ds_name] = source_dist.get(ds_name, 0) + 1 | |
| continue | |
| if token == "</doc>": | |
| sentence = " ".join(tokens) | |
| if len(tokens) >= 10: | |
| stats(tokens) | |
| jsonl = json.dumps({"source": ds_name, "text": sentence}, ensure_ascii=False) | |
| fn = random.sample(file_names, 1)[0] | |
| # file_pointers[fn].write(jsonl + "\n") | |
| record_counter[fn] += 1 | |
| elif sentence not in seen: | |
| seen.add(sentence) | |
| stats(tokens) | |
| jsonl = json.dumps({"source": ds_name, "text": sentence}, ensure_ascii=False) | |
| fn = random.sample(file_names, 1)[0] | |
| # file_pointers[fn].write(jsonl + "\n") | |
| record_counter[fn] += 1 | |
| continue | |
| tokens.append(token) | |
| # for i in range(__FILE_COUNT__): | |
| # file_pointers[file_names[i]].close() | |
| avg_tokens = sum_token_count / line_counter | |
| stddev_tokens = math.sqrt((sum_token_sq / line_counter) - avg_tokens * avg_tokens) | |
| avg_char = sum_char_count / sum_token_count | |
| stddev_chars = math.sqrt((sum_char_sq / sum_token_count) - avg_char * avg_char) | |
| results = { | |
| "Number of records per each file": record_counter, | |
| "Number of samples from each source": source_dist, | |
| "Number of lines": line_counter, | |
| "Total number of words": sum_token_count, | |
| "Average number of tokens per line": avg_tokens, | |
| "Standard deviation for the number of tokens per line": stddev_tokens, | |
| "Average number of characters per token": avg_char, | |
| "Standard deviation for the number of characters per token": stddev_chars, | |
| } | |
| print(json.dumps(results)) | |
| # print(json.dumps(results), sys.stderr) | |
| # offset = 1 | |
| # for fn in file_names: | |
| # print(json.dumps({"filename": fn, "first_id": offset})) | |
| # offset += record_counter[fn] | |