<jupyter_start><jupyter_text>**PLEASE** save this file right now using the following naming convention: `NUMBER_FOR_SORTING-YOUR_INITIALS-SHORT_DESCRIPTION`, e.g. `1.0-fw-initial-data-exploration`. Use the number to order the file within the directory according to its usage.<jupyter_code>## Hints

# nlp = spacy.load('en_core_web_sm')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1095890410958904, 'fraction_numerical': 0.005479452054794521, 'mean_word_length': 6.956521739130435, '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': '356017', 'license': 'MIT', 'n_tokens_mistral': 130, 'n_tokens_neox': 125, 'n_words': 31, 'path': 'notebooks/topic-profiles/01-avs-topic-profiles.ipynb', 'repo_name': 'worldbank/wb-nlp-apps', 'size': '365'}