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He removed his coat and", "domain": "narrative", "lexical.ttr_50": 0.56, "lexical.ttr_100": 0.45, "lexical.ttr_200": 0.23, "lexical.ttr_500": 0.092, "lexical.ttr_all": 0.05569007263922518, "lexical.hapax_ratio": 0.026634382566585957, "lexical.yules_k": 1050.1028909121821, "lexical.honores_r": 1287.5792332128742, "lexical.pos_noun_ratio": 0.16101694915254236, "lexical.pos_verb_ratio": 0.3196125907990315, "lexical.pos_adj_ratio": 0.002421307506053269, "lexical.pos_adv_ratio": 0.010895883777239709, "lexical.pos_pronoun_ratio": 0.1791767554479419, "lexical.sent_len_mean": 6.118518518518519, "lexical.sent_len_std": 1.0890148579189247, "lexical.sent_len_min": 1.0, "lexical.sent_len_max": 13.0, "lexical.sent_count": 135, "lexical.punct_types": 2, "lexical.punct_ratio": 0.03428428428428428, "coherence.topic_drift_mean": 0.9026928683500962, "coherence.topic_drift_std": 0.16658368332357618, "coherence.topic_drift_trend": 0.11581546089025126, "coherence.novelty_mean": 0.0784660786384628, "coherence.novelty_std": 0.2550676615429929, "coherence.novelty_trend": -0.002555362189317371, "coherence.novelty_final_vs_initial": -0.25801377386527363, "coherence.entity_count": 0, "coherence.entity_intro_rate": 0.0, "coherence.referential_density": 1.112781954887218, "structural.clause_depth_mean": 1.0074074074074073, "structural.clause_depth_std": 0.08574694002066834, "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": 0.7989130434782609, "structural.register_consistency_std": 0.34829282543504597, "repetition.repetition_onset_5gram": 88, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.05569007263922518, "repetition.unique_2gram_ratio": 0.0993939393939394, "repetition.unique_3gram_ratio": 0.12257281553398058, "repetition.unique_5gram_ratio": 0.15085158150851583, "repetition.unique_8gram_ratio": 0.17582417582417584, "repetition.post_rep_novel_tokens": 36, "repetition.post_rep_novel_ratio": 0.05722070844686648, "creativity.specificity_score": 0.0, "creativity.temporal_marker_count": 1, "creativity.temporal_marker_density": 0.12106537530266344, "creativity.dialogue_marker_count": 1, "creativity.dialogue_marker_density": 0.12106537530266344, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "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": 0.36, "lexical.ttr_100": 0.38, "lexical.ttr_200": 0.205, "lexical.ttr_500": 0.088, "lexical.ttr_all": 0.047670639219934995, "lexical.hapax_ratio": 0.021668472372697724, "lexical.yules_k": 742.8553318410337, "lexical.honores_r": 1251.930546467642, "lexical.pos_noun_ratio": 0.20043336944745396, "lexical.pos_verb_ratio": 0.2047670639219935, "lexical.pos_adj_ratio": 0.021668472372697724, "lexical.pos_adv_ratio": 0.09100758396533044, "lexical.pos_pronoun_ratio": 0.1105092091007584, "lexical.sent_len_mean": 10.370786516853933, "lexical.sent_len_std": 2.9694399368727113, "lexical.sent_len_min": 6.0, "lexical.sent_len_max": 29.0, "lexical.sent_count": 89, "lexical.punct_types": 2, "lexical.punct_ratio": 0.021460176991150444, "coherence.topic_drift_mean": 0.9230983778874948, "coherence.topic_drift_std": 0.09423151811059226, "coherence.topic_drift_trend": 0.058144985720656114, "coherence.novelty_mean": 0.06532069214828541, 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"repetition.post_rep_novel_ratio": 0.08311688311688312, "creativity.specificity_score": 0.0, "creativity.temporal_marker_count": 119, "creativity.temporal_marker_density": 14.52991452991453, "creativity.dialogue_marker_count": 61, "creativity.dialogue_marker_density": 7.448107448107448, "creativity.quote_count": 61, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "prompt": "def calculate_moving_average(data: list[float], window_size: int) -> list[float]:\n \"\"\"", "domain": "code", "lexical.ttr_50": 0.06, "lexical.ttr_100": 0.03, "lexical.ttr_200": 0.029411764705882353, "lexical.ttr_500": 0.029411764705882353, "lexical.ttr_all": 0.029411764705882353, "lexical.hapax_ratio": 0.0, "lexical.yules_k": 4382.929642445213, "lexical.honores_r": 463.4728988229636, "lexical.pos_noun_ratio": 0.0, "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": 102.0, "lexical.sent_len_std": 0.0, "lexical.sent_len_min": 102.0, "lexical.sent_len_max": 102.0, "lexical.sent_count": 1, "lexical.punct_types": 4, "lexical.punct_ratio": 0.2153191489361702, "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": 0.0, "coherence.entity_count": 0, "coherence.entity_intro_rate": 0.0, "coherence.referential_density": 0.0, "structural.clause_depth_mean": 1.0, "structural.clause_depth_std": 0.0, "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": 0.0, "structural.register_consistency_std": 0.0, "repetition.repetition_onset_5gram": 4, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.029411764705882353, "repetition.unique_2gram_ratio": 0.039603960396039604, "repetition.unique_3gram_ratio": 0.05, "repetition.unique_5gram_ratio": 0.08163265306122448, "repetition.unique_8gram_ratio": 0.14736842105263157, "repetition.post_rep_novel_tokens": 8, "repetition.post_rep_novel_ratio": 0.0851063829787234, "creativity.specificity_score": 0.9902912621359223, "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": 50, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "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": 0.8333333333333334, "lexical.ttr_100": 0.8333333333333334, "lexical.ttr_200": 0.8333333333333334, "lexical.ttr_500": 0.8333333333333334, "lexical.ttr_all": 0.8333333333333334, "lexical.hapax_ratio": 0.6666666666666666, "lexical.yules_k": 555.5555555555555, "lexical.honores_r": 972.9550745276568, "lexical.pos_noun_ratio": 0.5, "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": 3.0, "lexical.sent_len_std": 0.0, "lexical.sent_len_min": 3.0, "lexical.sent_len_max": 3.0, "lexical.sent_count": 2, "lexical.punct_types": 4, "lexical.punct_ratio": 0.0074875207986688855, "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": 0.0, "coherence.entity_count": 1, "coherence.entity_intro_rate": 16.666666666666668, "coherence.referential_density": 0.0, "structural.clause_depth_mean": 1.0, "structural.clause_depth_std": 0.0, "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": 0.0, "structural.register_consistency_std": 0.0, "repetition.repetition_onset_5gram": -1, "repetition.repetition_unit_size_mean": 0.0, "repetition.repetition_unit_size_max": 0, "repetition.unique_1gram_ratio": 0.8333333333333334, "repetition.unique_2gram_ratio": 1.0, "repetition.unique_3gram_ratio": 1.0, "repetition.unique_5gram_ratio": 1.0, "repetition.unique_8gram_ratio": 0.0, "repetition.post_rep_novel_tokens": 0, "repetition.post_rep_novel_ratio": 0.0, "creativity.specificity_score": 0.7142857142857143, "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": 3, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "prompt": "# Binary search implementation with error handling\ndef binary_search(arr: list[int], target: int) -> int:\n", "domain": "code", "lexical.ttr_50": 0.14, "lexical.ttr_100": 0.07, "lexical.ttr_200": 0.035, "lexical.ttr_500": 0.018229166666666668, "lexical.ttr_all": 0.018229166666666668, "lexical.hapax_ratio": 0.005208333333333333, "lexical.yules_k": 2162.0008680555557, "lexical.honores_r": 833.4540668002899, "lexical.pos_noun_ratio": 0.828125, "lexical.pos_verb_ratio": 0.0, "lexical.pos_adj_ratio": 0.005208333333333333, "lexical.pos_adv_ratio": 0.0, "lexical.pos_pronoun_ratio": 0.0, "lexical.sent_len_mean": 384.0, "lexical.sent_len_std": 0.0, "lexical.sent_len_min": 384.0, "lexical.sent_len_max": 384.0, "lexical.sent_count": 1, "lexical.punct_types": 7, "lexical.punct_ratio": 0.16596022171503097, "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": 0.0, "coherence.entity_count": 0, "coherence.entity_intro_rate": 0.0, "coherence.referential_density": 0.0, "structural.clause_depth_mean": 67.0, "structural.clause_depth_std": 0.0, "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": 0.0, "structural.register_consistency_std": 0.0, "repetition.repetition_onset_5gram": 9, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.018229166666666668, "repetition.unique_2gram_ratio": 0.02610966057441253, "repetition.unique_3gram_ratio": 0.028795811518324606, "repetition.unique_5gram_ratio": 0.034210526315789476, "repetition.unique_8gram_ratio": 0.03978779840848806, "repetition.post_rep_novel_tokens": 4, "repetition.post_rep_novel_ratio": 0.016172506738544475, "creativity.specificity_score": 0.003125, "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": "books-cpt-final", "prompt": "Abstract: We present a novel approach to understanding the relationship between neural network depth and", "domain": "academic", "lexical.ttr_50": 0.76, "lexical.ttr_100": 0.63, "lexical.ttr_200": 0.54, "lexical.ttr_500": 0.346, "lexical.ttr_all": 0.23647058823529413, "lexical.hapax_ratio": 0.1388235294117647, "lexical.yules_k": 322.6851211072664, "lexical.honores_r": 1633.769684148492, "lexical.pos_noun_ratio": 0.40941176470588236, "lexical.pos_verb_ratio": 0.12, "lexical.pos_adj_ratio": 0.047058823529411764, "lexical.pos_adv_ratio": 0.015294117647058824, "lexical.pos_pronoun_ratio": 0.01764705882352941, "lexical.sent_len_mean": 18.47826086956522, "lexical.sent_len_std": 6.691133427203699, "lexical.sent_len_min": 1.0, "lexical.sent_len_max": 34.0, "lexical.sent_count": 46, "lexical.punct_types": 11, "lexical.punct_ratio": 0.029433681073025336, "coherence.topic_drift_mean": 0.5001190321877929, "coherence.topic_drift_std": 0.2493363296164, "coherence.topic_drift_trend": -0.020120477247778445, "coherence.novelty_mean": 0.5774305025994834, "coherence.novelty_std": 0.28389164401536104, "coherence.novelty_trend": -0.011454942523702587, "coherence.novelty_final_vs_initial": -0.362987897316774, "coherence.entity_count": 11, "coherence.entity_intro_rate": 1.2941176470588236, "coherence.referential_density": 0.04310344827586207, "structural.clause_depth_mean": 1.2173913043478262, "structural.clause_depth_std": 0.41247099915239727, "structural.discourse_marker_count": 4, "structural.discourse_marker_density": 0.47058823529411764, "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": 0.26869655739936393, "structural.register_consistency_std": 0.12173767667084749, "repetition.repetition_onset_5gram": 39, "repetition.repetition_unit_size_mean": 25.5, "repetition.repetition_unit_size_max": 49, "repetition.unique_1gram_ratio": 0.23647058823529413, "repetition.unique_2gram_ratio": 0.48056537102473496, "repetition.unique_3gram_ratio": 0.625, "repetition.unique_5gram_ratio": 0.776595744680851, "repetition.unique_8gram_ratio": 0.8564650059311981, "repetition.post_rep_novel_tokens": 618, "repetition.post_rep_novel_ratio": 0.7670384138785625, "creativity.specificity_score": 0.14095744680851063, "creativity.temporal_marker_count": 3, "creativity.temporal_marker_density": 0.35294117647058826, "creativity.dialogue_marker_count": 1, "creativity.dialogue_marker_density": 0.11764705882352941, "creativity.quote_count": 0, "creativity.fabrication_density": 0.0, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "prompt": "In this study, we investigate the effects of environmental factors on species diversity in temperate", "domain": "academic", "lexical.ttr_50": 0.66, "lexical.ttr_100": 0.52, "lexical.ttr_200": 0.435, "lexical.ttr_500": 0.258, "lexical.ttr_all": 0.20930232558139536, "lexical.hapax_ratio": 0.10526315789473684, "lexical.yules_k": 333.78827216628287, "lexical.honores_r": 1349.2628935989053, "lexical.pos_noun_ratio": 0.3659730722154223, "lexical.pos_verb_ratio": 0.11995104039167687, "lexical.pos_adj_ratio": 0.09179926560587515, "lexical.pos_adv_ratio": 0.0073439412484700125, "lexical.pos_pronoun_ratio": 0.0012239902080783353, "lexical.sent_len_mean": 17.382978723404257, "lexical.sent_len_std": 5.748462112523817, "lexical.sent_len_min": 1.0, "lexical.sent_len_max": 29.0, "lexical.sent_count": 47, "lexical.punct_types": 9, "lexical.punct_ratio": 0.02753737214791503, "coherence.topic_drift_mean": 0.4005639583400094, "coherence.topic_drift_std": 0.2791573296769923, "coherence.topic_drift_trend": 0.01857768801889892, "coherence.novelty_mean": 0.4829487262081901, "coherence.novelty_std": 0.27160023090839663, "coherence.novelty_trend": -0.001243625031529873, "coherence.novelty_final_vs_initial": -0.07422041558685522, "coherence.entity_count": 13, "coherence.entity_intro_rate": 1.591187270501836, "coherence.referential_density": 0.0033444816053511705, "structural.clause_depth_mean": 1.0851063829787233, "structural.clause_depth_std": 0.2790399372043405, "structural.discourse_marker_count": 2, "structural.discourse_marker_density": 0.24479804161566707, "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": 0.2584764996516317, "structural.register_consistency_std": 0.048333853671491046, "repetition.repetition_onset_5gram": 57, "repetition.repetition_unit_size_mean": 18.5, "repetition.repetition_unit_size_max": 35, "repetition.unique_1gram_ratio": 0.20930232558139536, "repetition.unique_2gram_ratio": 0.46568627450980393, "repetition.unique_3gram_ratio": 0.6122699386503068, "repetition.unique_5gram_ratio": 0.7466174661746617, "repetition.unique_8gram_ratio": 0.837037037037037, "repetition.post_rep_novel_tokens": 550, "repetition.post_rep_novel_ratio": 0.7367724867724867, "creativity.specificity_score": 0.226890756302521, "creativity.temporal_marker_count": 1, "creativity.temporal_marker_density": 0.12239902080783353, "creativity.dialogue_marker_count": 0, "creativity.dialogue_marker_density": 0.0, "creativity.quote_count": 0, "creativity.fabrication_density": 0.12239902080783353, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "prompt": "Our results demonstrate a statistically significant correlation (p < 0.001) between the observed", "domain": "academic", "lexical.ttr_50": 0.42, "lexical.ttr_100": 0.27, "lexical.ttr_200": 0.165, "lexical.ttr_500": 0.11, "lexical.ttr_all": 0.10598290598290598, "lexical.hapax_ratio": 0.06495726495726496, "lexical.yules_k": 1038.088976550515, "lexical.honores_r": 1646.4409456407284, "lexical.pos_noun_ratio": 0.37948717948717947, "lexical.pos_verb_ratio": 0.02564102564102564, "lexical.pos_adj_ratio": 0.02905982905982906, "lexical.pos_adv_ratio": 0.0017094017094017094, "lexical.pos_pronoun_ratio": 0.003418803418803419, "lexical.sent_len_mean": 7.222222222222222, "lexical.sent_len_std": 6.136311676215144, "lexical.sent_len_min": 2.0, "lexical.sent_len_max": 36.0, "lexical.sent_count": 82, "lexical.punct_types": 3, "lexical.punct_ratio": 0.0239754669640368, "coherence.topic_drift_mean": 0.8209388503040665, "coherence.topic_drift_std": 0.11690451789219104, "coherence.topic_drift_trend": 0.0445414216613643, "coherence.novelty_mean": 0.3310706296821449, "coherence.novelty_std": 0.3305442163591029, "coherence.novelty_trend": 0.0001976075395386868, "coherence.novelty_final_vs_initial": 0.012973422012729663, "coherence.entity_count": 2, "coherence.entity_intro_rate": 0.3418803418803419, "coherence.referential_density": 0.009009009009009009, "structural.clause_depth_mean": 1.0246913580246915, "structural.clause_depth_std": 0.15518277888859916, "structural.discourse_marker_count": 2, "structural.discourse_marker_density": 0.3418803418803419, "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": 0.33249999999999996, "structural.register_consistency_std": 0.06720615051218651, "repetition.repetition_onset_5gram": 34, "repetition.repetition_unit_size_mean": 14.0, "repetition.repetition_unit_size_max": 26, "repetition.unique_1gram_ratio": 0.10598290598290598, "repetition.unique_2gram_ratio": 0.2106164383561644, "repetition.unique_3gram_ratio": 0.29845626072041165, "repetition.unique_5gram_ratio": 0.44922547332185886, "repetition.unique_8gram_ratio": 0.6608996539792388, "repetition.post_rep_novel_tokens": 231, "repetition.post_rep_novel_ratio": 0.4460694698354662, "creativity.specificity_score": 0.3157894736842105, "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": 1.0256410256410255, "creativity.topical_unexpectedness": 0.0 }, { "run": "books-cpt-final", "prompt": "Theorem: Let f be a continuous function on the closed interval [a, b]. Then", "domain": "math", "lexical.ttr_50": 0.38, "lexical.ttr_100": 0.25, "lexical.ttr_200": 0.28, "lexical.ttr_500": 0.15254237288135594, "lexical.ttr_all": 0.15254237288135594, "lexical.hapax_ratio": 0.05508474576271186, "lexical.yules_k": 459.9073542085608, "lexical.honores_r": 964.0323216769982, "lexical.pos_noun_ratio": 0.3050847457627119, "lexical.pos_verb_ratio": 0.23516949152542374, "lexical.pos_adj_ratio": 0.06991525423728813, "lexical.pos_adv_ratio": 0.036016949152542374, "lexical.pos_pronoun_ratio": 0.012711864406779662, "lexical.sent_len_mean": 17.48148148148148, "lexical.sent_len_std": 17.36614494923399, "lexical.sent_len_min": 2.0, "lexical.sent_len_max": 78.0, "lexical.sent_count": 27, "lexical.punct_types": 10, "lexical.punct_ratio": 0.11794654221467968, "coherence.topic_drift_mean": 0.522451214187291, "coherence.topic_drift_std": 0.28484552600397434, "coherence.topic_drift_trend": -0.00147282557581071, "coherence.novelty_mean": 0.35613928140927353, "coherence.novelty_std": 0.35414897127779366, "coherence.novelty_trend": 0.002284424892229728, "coherence.novelty_final_vs_initial": -0.05409485375423034, "coherence.entity_count": 8, "coherence.entity_intro_rate": 1.694915254237288, "coherence.referential_density": 0.041666666666666664, "structural.clause_depth_mean": 3.185185185185185, "structural.clause_depth_std": 2.1779541374798748, "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": 0.30983158371429353, "structural.register_consistency_std": 0.13572842411615713, "repetition.repetition_onset_5gram": 32, "repetition.repetition_unit_size_mean": 24.5, "repetition.repetition_unit_size_max": 47, "repetition.unique_1gram_ratio": 0.15254237288135594, "repetition.unique_2gram_ratio": 0.3248407643312102, "repetition.unique_3gram_ratio": 0.42340425531914894, "repetition.unique_5gram_ratio": 0.5705128205128205, "repetition.unique_8gram_ratio": 0.7182795698924731, "repetition.post_rep_novel_tokens": 238, "repetition.post_rep_novel_ratio": 0.573394495412844, "creativity.specificity_score": 0.39285714285714285, "creativity.temporal_marker_count": 15, "creativity.temporal_marker_density": 3.1779661016949152, "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": "books-cpt-final", "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": 0.45, "lexical.ttr_200": 0.29, "lexical.ttr_500": 0.23097112860892388, "lexical.ttr_all": 0.23097112860892388, "lexical.hapax_ratio": 0.08923884514435695, "lexical.yules_k": 456.4586906951592, "lexical.honores_r": 968.8833584395901, "lexical.pos_noun_ratio": 0.2887139107611549, "lexical.pos_verb_ratio": 0.09186351706036745, "lexical.pos_adj_ratio": 0.06824146981627296, "lexical.pos_adv_ratio": 0.01837270341207349, "lexical.pos_pronoun_ratio": 0.026246719160104987, "lexical.sent_len_mean": 27.214285714285715, "lexical.sent_len_std": 20.424699932849414, "lexical.sent_len_min": 2.0, "lexical.sent_len_max": 65.0, "lexical.sent_count": 14, "lexical.punct_types": 8, "lexical.punct_ratio": 0.1175531914893617, "coherence.topic_drift_mean": 0.4260040146536519, "coherence.topic_drift_std": 0.2984342769804884, "coherence.topic_drift_trend": -0.02472973314037961, "coherence.novelty_mean": 0.41136442566184783, 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