<jupyter_start><jupyter_text>- DOWNLOAD CELEBA DATASET FROM GOOGLE DRIVE<jupyter_code>import gdown
import zipfile
url = 'https://drive.google.com/uc?id=1cNIac61PSA_LqDFYFUeyaQYekYPc75NH'
# Path to download the dataset to
download_path = './imgs/img_align_celeba.zip'

# Download the dataset from google drive
gdown.download(url, download_path, quiet=False)
# Unzip the downloaded file 
with zipfile.ZipFile(download_path, 'r') as ziphandler:
  ziphandler.extractall('./imgs')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10297029702970296, 'fraction_numerical': 0.009900990099009901, 'mean_word_length': 7.031746031746032, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 7, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '416984', 'license': 'MIT', 'n_tokens_mistral': 193, 'n_tokens_neox': 182, 'n_words': 39, 'path': 'DOWNLOAD-DATASET-FROM-GDRIVE.ipynb', 'repo_name': 'netomap/CELEBA-DCGAN', 'size': '505'}