<jupyter_start><jupyter_text>from collections import defaultdictlabel_order = defaultdict(list)for index, labels in enumerate(submission_final):    for l in labels:        label_order[l].append(index)for label, indices in label_order.items():    print(label, np.mean(indices), len(indices))<jupyter_code>from evaluate import submit
submit('Solo', submission_final)<jupyter_output>{'member': 'Solo', 'rank': 10, 'score': 26.265508684863523}
{'fraction_non_alphanumeric': 0.1275626423690205, 'fraction_numerical': 0.04328018223234624, 'mean_word_length': 7.979591836734694, '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': '384244', 'license': 'MIT', 'n_tokens_mistral': 153, 'n_tokens_neox': 137, 'n_words': 31, 'path': 'Test submission - KNN - original singatures - filter by score - 26.266.ipynb', 'repo_name': 'dremovd/datahack-2019', 'size': '439'}