from datasets import load_dataset import os import re from pathlib import Path from zipfile import ZipFile import tarfile FILE_PATH = "BARR2.tar.bz2" path = Path(__file__).parent.absolute() from urllib import request URL = 'https://temu.bsc.es/BARR2/downloads/background_set.raw_text.tar.bz2' FILE_ZIP = str(path) + os.sep + "BARR2.zip" FILE_ZIP_EXTRAC = str(path) + os.sep + "BARR2" if not os.path.exists( FILE_ZIP ): response = request.urlretrieve(URL, FILE_ZIP) # loading the temp.zip and creating a zip object if os.path.exists( FILE_ZIP_EXTRAC ): os.remove(FILE_ZIP_EXTRAC) os.makedirs(FILE_ZIP_EXTRAC) with tarfile.open(FILE_ZIP, 'r') as zObject: # Extracting specific file in the zip # into a specific location. zObject.extractall( FILE_ZIP_EXTRAC) zObject.close() #Open Zip # with open( str(path) + os.sep + 'example.txt', encoding='utf8') as file: # """ # # Build a dictionary with ICD-O-3 associated with # # healtcare problems # """ # linesInFile = file.readlines() # for index, iLine in enumerate(linesInFile): # print([linesInFile[index]]) if len(linesInFile[index]) > 1 else print('**************') if linesInFile[index] == '\n' else print ('******* ERROR ********') # if re.match('^Las dilataciones bronquiales',iLine): # break # code = listOfData[0] # description = reduce(lambda a, b: a + " "+ b, listOfData[1:2], "") # royalListOfCode[code.strip()] = description.strip()