<jupyter_start><jupyter_text>jupyter notebook for  data processing (experiments)<jupyter_code>import os

RAW_DATA_DIR_PATH = os.path.abspath('../data/raw')
INTERIM_DATA_DIR_PATH = os.path.abspath('../data/interim')
PROCESSED_DATA_DIR_PATH = os.path.abspath('../data/processed')<jupyter_output>something
{'fraction_non_alphanumeric': 0.1423841059602649, 'fraction_numerical': 0.0, 'mean_word_length': 7.416666666666667, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, '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': '272045', 'license': 'MIT', 'n_tokens_mistral': 121, 'n_tokens_neox': 117, 'n_words': 13, 'path': 'notebooks/process_data.ipynb', 'repo_name': 'xduan7/omniglot-experiments', 'size': '302'}