<jupyter_start><jupyter_text>Examine the Clusters<jupyter_code>lbl2cluster.values()[0:100]<jupyter_output><empty_output><jupyter_text>Dump Clusters to File for Later Analysis<jupyter_code>with open(CLUSTERS_FILE, "w+") as f:
    for lbl, words in lbl2cluster.items():
        f.write(str(lbl) + "|")
        line = ",".join(sorted(words))
        f.write(line + "\n")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15365239294710328, 'fraction_numerical': 0.015113350125944584, 'mean_word_length': 5.524590163934426, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '575792', 'license': 'Apache-2.0', 'n_tokens_mistral': 157, 'n_tokens_neox': 156, 'n_words': 23, 'path': 'jupyter notebooks/Conceptual Search - 4.c Create Cluster Synonym Files.ipynb', 'repo_name': 'DiceTechJobs/ConceptualSearch', 'size': '397'}