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https://huggingface.co/datasets/chcaa/kb-books/resolve/2f0f687ed2059dec26945d5048caa4e8a71d78d1/reorganize_data.py
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curl -L -o reorganize_data.py https://huggingface.co/datasets/chcaa/kb-books/resolve/2f0f687ed2059dec26945d5048caa4e8a71d78d1/reorganize_data.py
2.76 kB
| # /// script | |
| # requires-python = "==3.12" | |
| # dependencies = [ | |
| # "PyMuPDF>=1.26.0", | |
| # "datasets>=3.5.0", | |
| # ] | |
| # /// | |
| import os | |
| import gc | |
| import re | |
| import string | |
| import json | |
| import logging | |
| import shutil | |
| from datetime import datetime | |
| from tqdm import tqdm | |
| import fitz | |
| from datasets import Dataset, load_dataset | |
| output_path = os.path.join(".","data") | |
| def remove(path): | |
| """ param <path> could either be relative or absolute. """ | |
| if os.path.isfile(path) or os.path.islink(path): | |
| os.remove(path) # remove the file | |
| elif os.path.isdir(path): | |
| shutil.rmtree(path) # remove dir and all contains | |
| else: | |
| raise ValueError("file {} is not a file or dir.".format(path)) | |
| def reorganize_data(output_path: str, shard_size: str = "5"): | |
| """ Loads the temporary data folders in the data path and creates 5GB shards for each year, deletes temporary files | |
| """ | |
| folders = os.listdir(output_path) | |
| temp_folders = [i for i in folders if "_t" in i] | |
| if len(temp_folders) == 0: | |
| print("DATA ORGANIZED") | |
| return | |
| print("REORGANIZING DATA...") | |
| for t_fold in tqdm(temp_folders): | |
| #load all separate parquets into 1 ds | |
| data_path = os.path.join(output_path,t_fold) | |
| data_set = load_dataset(data_path, split = "train") | |
| #save it to appropriately size chunks | |
| year_str = t_fold[:-2] | |
| new_data_path = os.path.join(output_path,year_str) | |
| try: | |
| data_set.save_to_disk(new_data_path, max_shard_size="5GB") | |
| except BaseException as e: | |
| print(f"temporarty_folder: {t_fold} could not be processed") | |
| print("Lowering max shard size to 3GB") | |
| #remove folder and try again | |
| remove(new_data_path) | |
| try: | |
| data_set.save_to_disk(new_data_path, max_shard_size="3GB") | |
| except BaseException as e: | |
| print(f"temporarty_folder: {t_fold} could not be processed") | |
| print("Lowering max shard size to 1GB") | |
| #remove folder and try again | |
| remove(new_data_path) | |
| try: | |
| data_set.save_to_disk(new_data_path, max_shard_size="1GB") | |
| except BaseException as e: | |
| print(f"temporarty_folder: {t_fold} could not be processed") | |
| #print("Lowering max shard size to 1GB") | |
| #remove folder and try again | |
| remove(new_data_path) | |
| continue | |
| #delete temp_folder | |
| try : | |
| remove(data_path) | |
| except PermissionError as e: | |
| print(f"{e}") | |
| data_set.cleanup_cache_files() | |
| def main(): | |
| reorganize_data(output_path) | |
| if __name__ == "__main__": | |
| main() |