<jupyter_start><jupyter_text>Not all job descriptions are unique but that may be ok since there are no rows which are completely duplicated<jupyter_code>fr = fr.reset_index(drop=True)
fr.to_pickle('../data/interim/combined.pkl')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10077519379844961, 'fraction_numerical': 0.0, 'mean_word_length': 7.354838709677419, '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': '115894', 'license': 'MIT', 'n_tokens_mistral': 89, 'n_tokens_neox': 87, 'n_words': 22, 'path': 'notebooks/3- Combine clean data sets.ipynb', 'repo_name': 'minasso/data_jobs', 'size': '258'}