<jupyter_start><jupyter_text><jupyter_code>!pip install -q kaggle
from google.colab import files

uploaded = files.upload()

for fn in uploaded.keys():
  print('User uploaded file "{name}" with length {length} bytes'.format(
      name=fn, length=len(uploaded[fn])))
  
# Then move kaggle.json into the folder where the API expects to find it.
!mkdir -p ~/.kaggle/ && mv kaggle.json ~/.kaggle/ && chmod 600 ~/.kaggle/kaggle.json
!kaggle datasets list 
! kaggle competitions list
!kaggle competitions download -c dogs-vs-cats
!unzip dogs-vs-cats.zip<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12802768166089964, 'fraction_numerical': 0.005190311418685121, 'mean_word_length': 4.621359223300971, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '185601', 'license': 'MIT', 'n_tokens_mistral': 217, 'n_tokens_neox': 205, 'n_words': 59, 'path': 'dogvscat.ipynb', 'repo_name': 'Max452/CarND-LaneLines-P1', 'size': '578'}