''' Script on Generating Wikipedia Data that are dumped into https://dumps.wikimedia.org/ More info can be read on https://huggingface.co/datasets/wikipedia ------------------- Check here to see available indexed data: https://dumps.wikimedia.org/backup-index.html Also check here to see language meta from its code: https://meta.wikimedia.org/wiki/List_of_Wikipedias ''' import os, gc import logging import argparse import pandas as pd from datasets import load_dataset def set_logger(): # Set up the logger logging.basicConfig( level=logging.INFO, # Set the desired logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL) format='%(asctime)s [%(levelname)s]: %(message)s', # Customize the log message format datefmt='%Y-%m-%d %H:%M:%S' # Customize the date/time format ) # Create a file handler to write logs into a file file_handler = logging.FileHandler('app.log') # Set the log level for the file handler file_handler.setLevel(logging.INFO) # Create a formatter for the file handler (customize the log format for the file) file_formatter = logging.Formatter('%(asctime)s [%(levelname)s]: %(message)s', datefmt='%Y-%m-%d %H:%M:%S') file_handler.setFormatter(file_formatter) logger = logging.getLogger("Wiki Dataset Generation") logger.addHandler(file_handler) return logger #only executed if called directly if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--lang-id", help="Lang ID from Wikipedia Data to extract") parser.add_argument("--date-ver", help="Date of Wikipedia Data (YYYYMMDD) generation to extract") parser.add_argument("--save-dir-path", help="""Relative dir path of saved Wikipedia CSV data to the `extract_raw_wiki_data.py` script dir""", default=os.path.dirname(os.path.abspath(__file__))) args = parser.parse_args() dset_name = "wikipedia" logger = set_logger() logger.info("Parsing arguments...") lang_id = args.lang_id date_ver = args.date_ver save_dir = args.save_dir_path logger.info("Loading the dataset from Wikipedia...") df = load_dataset(dset_name, language=lang_id, date=date_ver, beam_runner='DirectRunner', split="train").to_pandas() logger.info("Loading done!") logger.info(f"#Data collected: {df.shape[0]}") logger.info("Saving dataset raw form...") df.to_csv(f"{save_dir}/wiki_{lang_id}_{date_ver}_raw_dataset.csv", index=False) del df gc.collect()