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He removed his coat and", "domain": "narrative", "lexical.ttr_50": 0.62, "lexical.ttr_100": 0.47, "lexical.ttr_200": 0.33, "lexical.ttr_500": 0.156, "lexical.ttr_all": 0.08066184074457083, "lexical.hapax_ratio": 0.03516028955532575, "lexical.yules_k": 393.7379222726393, "lexical.honores_r": 1218.791142744484, "lexical.pos_noun_ratio": 0.2419855222337125, "lexical.pos_verb_ratio": 0.2419855222337125, "lexical.pos_adj_ratio": 0.04860392967942089, "lexical.pos_adv_ratio": 0.005170630816959669, "lexical.pos_pronoun_ratio": 0.06618407445708377, "lexical.sent_len_mean": 23.585365853658537, "lexical.sent_len_std": 6.301279814861065, "lexical.sent_len_min": 9.0, "lexical.sent_len_max": 41.0, "lexical.sent_count": 41, "lexical.punct_types": 2, "lexical.punct_ratio": 0.010608486789431545, "coherence.topic_drift_mean": 0.7605964624179364, "coherence.topic_drift_std": 0.1682536964892246, "coherence.topic_drift_trend": 0.011676667170084965, "coherence.novelty_mean": 0.22893871754076098, "coherence.novelty_std": 0.3072895354988357, "coherence.novelty_trend": -0.020551600355128142, "coherence.novelty_final_vs_initial": -0.6156945992435651, "coherence.entity_count": 0, "coherence.entity_intro_rate": 0.0, "coherence.referential_density": 0.27350427350427353, "structural.clause_depth_mean": 2.6097560975609757, "structural.clause_depth_std": 0.7611944650891334, "structural.discourse_marker_count": 0, "structural.discourse_marker_density": 0.0, "structural.structural_variety_entropy": -0.0, "structural.pct_declarative": 1.0, "structural.pct_interrogative": 0.0, "structural.pct_exclamatory": 0.0, "structural.pct_imperative": 0.0, "structural.register_consistency_mean": 0.7040645510403575, "structural.register_consistency_std": 0.24299309883951414, "repetition.repetition_onset_5gram": 37, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.08066184074457083, "repetition.unique_2gram_ratio": 0.17598343685300208, "repetition.unique_3gram_ratio": 0.24455958549222798, "repetition.unique_5gram_ratio": 0.32502596053997923, "repetition.unique_8gram_ratio": 0.41354166666666664, "repetition.post_rep_novel_tokens": 276, "repetition.post_rep_novel_ratio": 0.3002159827213823, "creativity.specificity_score": 0.0, "creativity.temporal_marker_count": 25, "creativity.temporal_marker_density": 2.5853154084798344, "creativity.dialogue_marker_count": 1, "creativity.dialogue_marker_density": 0.10341261633919338, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "She had not expected to find the letter, but there it was, tucked between the pages of the old book. It read:", "domain": "narrative", "lexical.ttr_50": 0.58, "lexical.ttr_100": 0.35, "lexical.ttr_200": 0.2, "lexical.ttr_500": 0.086, "lexical.ttr_all": 0.053217821782178217, "lexical.hapax_ratio": 0.0049504950495049506, "lexical.yules_k": 818.1183217331634, "lexical.honores_r": 738.2547523936285, "lexical.pos_noun_ratio": 0.23638613861386137, "lexical.pos_verb_ratio": 0.18193069306930693, "lexical.pos_adj_ratio": 0.08415841584158416, "lexical.pos_adv_ratio": 0.013613861386138614, "lexical.pos_pronoun_ratio": 0.039603960396039604, "lexical.sent_len_mean": 11.882352941176471, "lexical.sent_len_std": 3.278851178675713, "lexical.sent_len_min": 3.0, "lexical.sent_len_max": 27.0, "lexical.sent_count": 68, "lexical.punct_types": 4, "lexical.punct_ratio": 0.03160270880361174, "coherence.topic_drift_mean": 0.8735180982591698, "coherence.topic_drift_std": 0.22958221956210326, "coherence.topic_drift_trend": 0.11519758210631355, "coherence.novelty_mean": 0.06042858488492356, 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"lexical.pos_adv_ratio": 0.0, "lexical.pos_pronoun_ratio": 0.0019011406844106464, "lexical.sent_len_mean": 131.5, "lexical.sent_len_std": 197.34550919643448, "lexical.sent_len_min": 8.0, "lexical.sent_len_max": 473.0, "lexical.sent_count": 4, "lexical.punct_types": 7, "lexical.punct_ratio": 0.16074825618262523, "coherence.topic_drift_mean": 0.10175250715341493, "coherence.topic_drift_std": 0.0833393079376974, "coherence.topic_drift_trend": -0.10198732587237337, "coherence.novelty_mean": 0.5790482030016527, "coherence.novelty_std": 0.38356425063616423, "coherence.novelty_trend": -0.37681160889502524, "coherence.novelty_final_vs_initial": -0.7536232177900505, "coherence.entity_count": 1, "coherence.entity_intro_rate": 0.19011406844106463, "coherence.referential_density": 0.002008032128514056, "structural.clause_depth_mean": 1.75, "structural.clause_depth_std": 0.4330127018922193, "structural.discourse_marker_count": 0, "structural.discourse_marker_density": 0.0, 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"creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "import json\nimport logging\nfrom pathlib import Path\n\nlogger = logging.getLogger(__name__)\n\n\nclass DataProcessor:\n \"\"\"Process and validate incoming data records.\"\"\"\n\n def __init__(self", "domain": "code", "lexical.ttr_50": 0.22, "lexical.ttr_100": 0.11, "lexical.ttr_200": 0.055, "lexical.ttr_500": 0.036036036036036036, "lexical.ttr_all": 0.036036036036036036, "lexical.hapax_ratio": 0.015015015015015015, "lexical.yules_k": 2290.7592276961645, "lexical.honores_r": 996.195598796006, "lexical.pos_noun_ratio": 1.0, "lexical.pos_verb_ratio": 0.0, "lexical.pos_adj_ratio": 0.0, "lexical.pos_adv_ratio": 0.0, "lexical.pos_pronoun_ratio": 0.0, "lexical.sent_len_mean": 333.0, "lexical.sent_len_std": 0.0, "lexical.sent_len_min": 333.0, "lexical.sent_len_max": 333.0, "lexical.sent_count": 1, 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"repetition.unique_1gram_ratio": 0.036036036036036036, "repetition.unique_2gram_ratio": 0.05120481927710843, "repetition.unique_3gram_ratio": 0.06042296072507553, "repetition.unique_5gram_ratio": 0.0790273556231003, "repetition.unique_8gram_ratio": 0.10736196319018405, "repetition.post_rep_novel_tokens": 16, "repetition.post_rep_novel_ratio": 0.050793650793650794, "creativity.specificity_score": 0.48502994011976047, "creativity.temporal_marker_count": 0, "creativity.temporal_marker_density": 0.0, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "# Binary search implementation with error handling\ndef binary_search(arr: list[int], target: int) -> int:\n", "domain": "code", "lexical.ttr_50": 0.5, "lexical.ttr_100": 0.34, "lexical.ttr_200": 0.365, "lexical.ttr_500": 0.282, "lexical.ttr_all": 0.2363919129082426, 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"repetition.unique_8gram_ratio": 0.9213836477987422, "repetition.post_rep_novel_tokens": 504, "repetition.post_rep_novel_ratio": 0.8238172920065253, "creativity.specificity_score": 0.1875, "creativity.temporal_marker_count": 11, "creativity.temporal_marker_density": 1.7107309486780715, "creativity.dialogue_marker_count": 2, "creativity.dialogue_marker_density": 0.3110419906687403, "creativity.quote_count": 1, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "Abstract: We present a novel approach to understanding the relationship between neural network depth and", "domain": "academic", "lexical.ttr_50": 0.68, "lexical.ttr_100": 0.57, "lexical.ttr_200": 0.455, "lexical.ttr_500": 0.27, "lexical.ttr_all": 0.1942257217847769, "lexical.hapax_ratio": 0.07086614173228346, "lexical.yules_k": 369.3485164748107, "lexical.honores_r": 1045.0150942873402, "lexical.pos_noun_ratio": 0.37139107611548555, "lexical.pos_verb_ratio": 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"creativity.temporal_marker_density": 0.3937007874015748, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "In this study, we investigate the effects of environmental factors on species diversity in temperate", "domain": "academic", "lexical.ttr_50": 0.78, "lexical.ttr_100": 0.58, "lexical.ttr_200": 0.48, "lexical.ttr_500": 0.276, "lexical.ttr_all": 0.18982118294360384, "lexical.hapax_ratio": 0.0907840440165062, "lexical.yules_k": 263.4481740831629, "lexical.honores_r": 1263.1410342376982, "lexical.pos_noun_ratio": 0.3108665749656121, "lexical.pos_verb_ratio": 0.12242090784044017, "lexical.pos_adj_ratio": 0.11691884456671252, "lexical.pos_adv_ratio": 0.017881705639614855, "lexical.pos_pronoun_ratio": 0.005502063273727648, "lexical.sent_len_mean": 23.451612903225808, "lexical.sent_len_std": 9.510058205708447, 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"structural.pct_imperative": 0.0, "structural.register_consistency_mean": 0.4582913472070099, "structural.register_consistency_std": 0.29688610668620874, "repetition.repetition_onset_5gram": 116, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.18982118294360384, "repetition.unique_2gram_ratio": 0.36639118457300274, "repetition.unique_3gram_ratio": 0.43310344827586206, "repetition.unique_5gram_ratio": 0.48409405255878285, "repetition.unique_8gram_ratio": 0.5263888888888889, "repetition.post_rep_novel_tokens": 234, "repetition.post_rep_novel_ratio": 0.40197693574958815, "creativity.specificity_score": 0.45918367346938777, "creativity.temporal_marker_count": 3, "creativity.temporal_marker_density": 0.4126547455295736, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.2751031636863824, 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"repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.0782122905027933, "repetition.unique_2gram_ratio": 0.13534675615212527, "repetition.unique_3gram_ratio": 0.17357222844344905, "repetition.unique_5gram_ratio": 0.2334455667789001, "repetition.unique_8gram_ratio": 0.3141891891891892, "repetition.post_rep_novel_tokens": 151, "repetition.post_rep_novel_ratio": 0.21968787515006002, "creativity.specificity_score": 0.1672473867595819, "creativity.temporal_marker_count": 0, "creativity.temporal_marker_density": 0.0, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "Theorem: Let f be a continuous function on the closed interval [a, b]. Then", "domain": "math", "lexical.ttr_50": 0.44, "lexical.ttr_100": 0.28, "lexical.ttr_200": 0.22, "lexical.ttr_500": 0.132, "lexical.ttr_all": 0.10232558139534884, "lexical.hapax_ratio": 0.007751937984496124, "lexical.yules_k": 477.1828616068746, "lexical.honores_r": 700.1192905731996, "lexical.pos_noun_ratio": 0.2682170542635659, "lexical.pos_verb_ratio": 0.19069767441860466, "lexical.pos_adj_ratio": 0.08217054263565891, "lexical.pos_adv_ratio": 0.06666666666666667, "lexical.pos_pronoun_ratio": 0.040310077519379844, "lexical.sent_len_mean": 18.428571428571427, "lexical.sent_len_std": 8.357326005319146, "lexical.sent_len_min": 3.0, "lexical.sent_len_max": 39.0, "lexical.sent_count": 35, "lexical.punct_types": 6, "lexical.punct_ratio": 0.08034782608695652, "coherence.topic_drift_mean": 0.6671111441958735, "coherence.topic_drift_std": 0.07194950894488127, "coherence.topic_drift_trend": 0.05580252849308265, "coherence.novelty_mean": 0.32837562414580507, "coherence.novelty_std": 0.3303766563520576, "coherence.novelty_trend": -0.02503793842871495, "coherence.novelty_final_vs_initial": -0.6350255982893486, "coherence.entity_count": 4, "coherence.entity_intro_rate": 0.6201550387596899, "coherence.referential_density": 0.15028901734104047, "structural.clause_depth_mean": 4.171428571428572, "structural.clause_depth_std": 2.5465462805893937, "structural.discourse_marker_count": 3, "structural.discourse_marker_density": 0.46511627906976744, "structural.structural_variety_entropy": 0.31599713297842463, "structural.pct_declarative": 0.9428571428571428, "structural.pct_interrogative": 0.0, "structural.pct_exclamatory": 0.0, "structural.pct_imperative": 0.05714285714285714, "structural.register_consistency_mean": 0.5452816863873787, "structural.register_consistency_std": 0.042966194754232294, "repetition.repetition_onset_5gram": 49, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.10232558139534884, "repetition.unique_2gram_ratio": 0.2329192546583851, "repetition.unique_3gram_ratio": 0.3188180404354588, "repetition.unique_5gram_ratio": 0.45709828393135726, "repetition.unique_8gram_ratio": 0.5830721003134797, "repetition.post_rep_novel_tokens": 247, "repetition.post_rep_novel_ratio": 0.44594594594594594, "creativity.specificity_score": 0.13089005235602094, "creativity.temporal_marker_count": 11, "creativity.temporal_marker_density": 1.7054263565891472, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "fullcorpus-Q4", "prompt": "To prove that the series converges, we apply the ratio test. Consider the limit", "domain": "math", "lexical.ttr_50": 0.3, "lexical.ttr_100": 0.15, "lexical.ttr_200": 0.075, "lexical.ttr_500": 0.052083333333333336, "lexical.ttr_all": 0.052083333333333336, "lexical.hapax_ratio": 0.03125, "lexical.yules_k": 1913.0979938271605, "lexical.honores_r": 1416.6066720281078, "lexical.pos_noun_ratio": 0.12152777777777778, "lexical.pos_verb_ratio": 0.010416666666666666, "lexical.pos_adj_ratio": 0.2986111111111111, "lexical.pos_adv_ratio": 0.08333333333333333, "lexical.pos_pronoun_ratio": 0.003472222222222222, "lexical.sent_len_mean": 144.0, "lexical.sent_len_std": 137.0, "lexical.sent_len_min": 7.0, "lexical.sent_len_max": 281.0, "lexical.sent_count": 2, "lexical.punct_types": 4, "lexical.punct_ratio": 0.1456953642384106, "coherence.topic_drift_mean": 0.0, "coherence.topic_drift_std": 0.0, "coherence.topic_drift_trend": 0.0, "coherence.novelty_mean": 0.0, "coherence.novelty_std": 0.0, "coherence.novelty_trend": 0.0, "coherence.novelty_final_vs_initial": 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