<jupyter_start><jupyter_text>Test creating a simple set of data frames<jupyter_code>import pandas as pd
import numpy as np
import random
dfa = pd.DataFrame({
        'int1': range(0,100),
        'float2': np.linspace(0,1,100),
        'str3': np.random.choice( list('abcdefghij'), 100 ) 
        
    })
dfb = dfa.copy()*2<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1388101983002833, 'fraction_numerical': 0.0453257790368272, 'mean_word_length': 3.6578947368421053, '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': '105185', 'license': 'MIT', 'n_tokens_mistral': 140, 'n_tokens_neox': 131, 'n_words': 29, 'path': 'tests/test_data/notebooks/GenerateDataTest.ipynb', 'repo_name': 'Metatab/metapack-build', 'size': '353'}