<jupyter_start><jupyter_text><jupyter_code># First notebook test with google colab
import pandas as pd
# test
import os<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08053691275167785, 'fraction_numerical': 0.0, 'mean_word_length': 9.0, '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': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '482766', 'license': 'MIT', 'n_tokens_mistral': 55, 'n_tokens_neox': 53, 'n_words': 14, 'path': 'Untitled0.ipynb', 'repo_name': 'akbarboghani/100-Days-Of-ML-Code', 'size': '149'}