<jupyter_start><jupyter_text>for j in range(0, len(in_file), 200):            u = 0            new.loc[i,x[u]] = in_file[j:j + 200]            u=u+1<jupyter_code>final = pd.concat([uu,new],axis=1)
final.to_csv('..\data/all_speeches_split.csv',index=False)
vv = pd.read_csv("..\data/all_speeches_split.csv")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1875, 'fraction_numerical': 0.02976190476190476, 'mean_word_length': 3.9558823529411766, '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': '284412', 'license': 'MIT', 'n_tokens_mistral': 152, 'n_tokens_neox': 140, 'n_words': 16, 'path': 'components/notebooks/Neo4J_Split_Content_for_AWS.ipynb', 'repo_name': 'jfsalcedo10/mda-kuwait', 'size': '336'}