<jupyter_start><jupyter_text><jupyter_code>import pandas as pd

df = pd.read_csv("drive/My Drive/combined.csv")
df.head()
df.shape
df.columns
df.attack.value_counts()
df[df['attack']==0].category.value_counts()
df.head(10)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17063492063492064, 'fraction_numerical': 0.011904761904761904, 'mean_word_length': 8.37037037037037, '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': '566321', 'license': 'MIT', 'n_tokens_mistral': 110, 'n_tokens_neox': 104, 'n_words': 13, 'path': 'project_try.ipynb', 'repo_name': 'Siddharth1698/10-days-of-statistics', 'size': '252'}