<jupyter_start><jupyter_text><jupyter_code>from google.colab import drive
drive.mount('/content/drive',force_remount=True)
%cd 
!apt-get install tree
!pip install maskrcnn_modanet
!maskrcnn-modanet datasets download ./main
!maskrcnn-modanet datasets arrange
!maskrcnn-modanet instagram -p timferriss -c s -l 100
from google.colab import drive
drive.mount('/content/drive')

!cp -r main/results/instagram/ content/drive/My\ Drive/<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11328976034858387, 'fraction_numerical': 0.006535947712418301, 'mean_word_length': 6.1875, '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': '35833', 'license': 'MIT', 'n_tokens_mistral': 169, 'n_tokens_neox': 163, 'n_words': 37, 'path': 'notebooks/Mask_RCNN+Modanet.ipynb', 'repo_name': 'jimmy-io/Insighht_project-', 'size': '459'}