<jupyter_start><jupyter_text>Partial loading<jupyter_code>corpus3 = Corpus(filename="test_corpus", utterance_start_index=0, utterance_end_index=1)
corpus3.utterances
corpus4 = Corpus(filename="test_corpus", utterance_start_index=1)
corpus4.utterances
corpus5 = Corpus(filename="test_corpus", utterance_start_index=99)
corpus5.utterances
list(list(corpus3.iter_users())[0].iter_conversations())
corpus5 = corpus3.merge(corpus4)
corpus5.utterances<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11789473684210526, 'fraction_numerical': 0.035789473684210524, 'mean_word_length': 15.413793103448276, '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': '591804', 'license': 'MIT', 'n_tokens_mistral': 184, 'n_tokens_neox': 181, 'n_words': 18, 'path': 'tests/test_utterance_as_jsonlist.ipynb', 'repo_name': 'Gnome42/Cornell-Conversational-Analysis-Toolkit', 'size': '475'}