<jupyter_start><jupyter_text><jupyter_code>from google.colab import drive
drive.mount('/content/drive')
import os
os.environ['KAGGLE_CONFIG_DIR'] = "/content/drive/MyDrive/kaggle"
# /content/gdrive/My Drive/Kaggle is the path where kaggle.json is present in the Google Drive
%cd /content/drive/MyDrive/kaggle
pwd #Check the present working directory using pwd command
!kaggle datasets download -d moltean/fruits
!ls #check the content in my directory using ls command as follow 
#unzipping the zip files and deleting the zip files
!unzip \*.zip  && rm *.zip<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09540034071550256, 'fraction_numerical': 0.0, 'mean_word_length': 5.461538461538462, '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': '544567', 'license': 'MIT', 'n_tokens_mistral': 199, 'n_tokens_neox': 193, 'n_words': 63, 'path': 'kaggle_data_set.ipynb', 'repo_name': 'duyguaran/graduation_thesis', 'size': '587'}