Datasets:
Download analysis/method_correlations.json from RoleCall/roleplay-bench: direct link, hf CLI and curl.
- Browser
- Download file 10.7 kB
-
https://huggingface.co/datasets/RoleCall/roleplay-bench/resolve/main/analysis/method_correlations.json
- Command line
-
hf download hf://datasets/RoleCall/roleplay-bench/analysis/method_correlations.json
-
curl -L -o method_correlations.json https://huggingface.co/datasets/RoleCall/roleplay-bench/resolve/main/analysis/method_correlations.json
10.7 kB
| { | |
| "models": [ | |
| "claude_opus_4_6", | |
| "claude_opus_4_7", | |
| "claude_sonnet_4_5", | |
| "deepseek_v3_2", | |
| "deepseek_v4_flash", | |
| "deepseek_v4_pro", | |
| "gemini_2_5_flash", | |
| "gemini_3_1_flash_lite", | |
| "gemini_3_1_pro", | |
| "gemma_4_26b", | |
| "glm_4_7", | |
| "glm_5_1", | |
| "gpt_4_1", | |
| "grok_4_1", | |
| "kimi_k2_5", | |
| "kimi_k2_6", | |
| "llama_4_maverick", | |
| "minimax_m2_7", | |
| "mistral_small_creative", | |
| "qwen3_5_flash" | |
| ], | |
| "methods": [ | |
| "Likert overall", | |
| "F1 Likert mean", | |
| "F2 Likert mean", | |
| "F12 Likert mean", | |
| "F13 Likert mean", | |
| "F1 binary rate", | |
| "Flaw hunter mean", | |
| "Bayesian ELO", | |
| "Behavioral unique-wr", | |
| "Behavioral repetition" | |
| ], | |
| "values_per_model": { | |
| "Likert overall": { | |
| "claude_opus_4_6": 4.51, | |
| "claude_opus_4_7": 4.54, | |
| "claude_sonnet_4_5": 4.42, | |
| "deepseek_v3_2": 4.38, | |
| "deepseek_v4_flash": 4.38, | |
| "deepseek_v4_pro": 4.42, | |
| "gemini_2_5_flash": 4.14, | |
| "gemini_3_1_flash_lite": 4.3, | |
| "gemini_3_1_pro": 4.33, | |
| "gemma_4_26b": 4.29, | |
| "glm_4_7": 4.37, | |
| "glm_5_1": 4.39, | |
| "gpt_4_1": 4.34, | |
| "grok_4_1": 4.19, | |
| "kimi_k2_5": 4.4, | |
| "kimi_k2_6": 4.18, | |
| "llama_4_maverick": 3.96, | |
| "minimax_m2_7": 4.34, | |
| "mistral_small_creative": 4.22, | |
| "qwen3_5_flash": 3.98 | |
| }, | |
| "F1 Likert mean": { | |
| "claude_opus_4_6": 4.55, | |
| "claude_opus_4_7": 4.6, | |
| "claude_sonnet_4_5": 4.5, | |
| "deepseek_v3_2": 4.38, | |
| "deepseek_v4_flash": 4.5, | |
| "deepseek_v4_pro": 4.4, | |
| "gemini_2_5_flash": 3.95, | |
| "gemini_3_1_flash_lite": 4.33, | |
| "gemini_3_1_pro": 4.43, | |
| "gemma_4_26b": 4.25, | |
| "glm_4_7": 4.38, | |
| "glm_5_1": 4.5, | |
| "gpt_4_1": 4.38, | |
| "grok_4_1": 4.33, | |
| "kimi_k2_5": 4.47, | |
| "kimi_k2_6": 3.77, | |
| "llama_4_maverick": 3.83, | |
| "minimax_m2_7": 4.45, | |
| "mistral_small_creative": 4.28, | |
| "qwen3_5_flash": 3.8 | |
| }, | |
| "F2 Likert mean": { | |
| "claude_opus_4_6": 4.47, | |
| "claude_opus_4_7": 4.43, | |
| "claude_sonnet_4_5": 4.2, | |
| "deepseek_v3_2": 4.27, | |
| "deepseek_v4_flash": 4.2, | |
| "deepseek_v4_pro": 4.3, | |
| "gemini_2_5_flash": 4.03, | |
| "gemini_3_1_flash_lite": 4.23, | |
| "gemini_3_1_pro": 4.2, | |
| "gemma_4_26b": 4.2, | |
| "glm_4_7": 4.27, | |
| "glm_5_1": 4.17, | |
| "gpt_4_1": 4.23, | |
| "grok_4_1": 4.1, | |
| "kimi_k2_5": 4.2, | |
| "kimi_k2_6": 4.27, | |
| "llama_4_maverick": 3.93, | |
| "minimax_m2_7": 4.2, | |
| "mistral_small_creative": 4.23, | |
| "qwen3_5_flash": 4.03 | |
| }, | |
| "F12 Likert mean": { | |
| "claude_opus_4_6": 4.47, | |
| "claude_opus_4_7": 4.57, | |
| "claude_sonnet_4_5": 4.3, | |
| "deepseek_v3_2": 4.3, | |
| "deepseek_v4_flash": 4.3, | |
| "deepseek_v4_pro": 4.4, | |
| "gemini_2_5_flash": 4.2, | |
| "gemini_3_1_flash_lite": 4.3, | |
| "gemini_3_1_pro": 4.33, | |
| "gemma_4_26b": 4.3, | |
| "glm_4_7": 4.3, | |
| "glm_5_1": 4.33, | |
| "gpt_4_1": 4.3, | |
| "grok_4_1": 4.23, | |
| "kimi_k2_5": 4.37, | |
| "kimi_k2_6": 4.3, | |
| "llama_4_maverick": 3.77, | |
| "minimax_m2_7": 4.23, | |
| "mistral_small_creative": 4.27, | |
| "qwen3_5_flash": 3.17 | |
| }, | |
| "F13 Likert mean": { | |
| "claude_opus_4_6": 4.57, | |
| "claude_opus_4_7": 4.57, | |
| "claude_sonnet_4_5": 4.6, | |
| "deepseek_v3_2": 4.6, | |
| "deepseek_v4_flash": 4.53, | |
| "deepseek_v4_pro": 4.57, | |
| "gemini_2_5_flash": 4.23, | |
| "gemini_3_1_flash_lite": 4.33, | |
| "gemini_3_1_pro": 4.37, | |
| "gemma_4_26b": 4.33, | |
| "glm_4_7": 4.57, | |
| "glm_5_1": 4.57, | |
| "gpt_4_1": 4.43, | |
| "grok_4_1": 4.07, | |
| "kimi_k2_5": 4.57, | |
| "kimi_k2_6": 4.4, | |
| "llama_4_maverick": 4.1, | |
| "minimax_m2_7": 4.3, | |
| "mistral_small_creative": 4.2, | |
| "qwen3_5_flash": 4.3 | |
| }, | |
| "F1 binary rate": { | |
| "claude_opus_4_6": -4.545454545454546, | |
| "claude_opus_4_7": -6.0606060606060606, | |
| "claude_sonnet_4_5": -0.0, | |
| "deepseek_v3_2": -4.545454545454546, | |
| "deepseek_v4_flash": -0.0, | |
| "deepseek_v4_pro": -0.0, | |
| "gemini_2_5_flash": -0.0, | |
| "gemini_3_1_flash_lite": -3.0303030303030303, | |
| "gemini_3_1_pro": -0.0, | |
| "gemma_4_26b": -2.272727272727273, | |
| "glm_4_7": -9.090909090909092, | |
| "glm_5_1": -3.0303030303030303, | |
| "gpt_4_1": -0.0, | |
| "grok_4_1": -0.0, | |
| "kimi_k2_5": -6.0606060606060606, | |
| "kimi_k2_6": -0.0, | |
| "llama_4_maverick": -6.8181818181818175, | |
| "minimax_m2_7": -9.30232558139535, | |
| "mistral_small_creative": -15.909090909090908, | |
| "qwen3_5_flash": -0.0 | |
| }, | |
| "Flaw hunter mean": { | |
| "claude_opus_4_6": 40.9, | |
| "claude_opus_4_7": 42.8, | |
| "claude_sonnet_4_5": 45.3, | |
| "deepseek_v3_2": 46.9, | |
| "deepseek_v4_flash": 50.6, | |
| "deepseek_v4_pro": 19.4, | |
| "gemini_2_5_flash": 43.6, | |
| "gemini_3_1_flash_lite": 34.2, | |
| "gemini_3_1_pro": 29.2, | |
| "gemma_4_26b": 32.6, | |
| "glm_4_7": 36.8, | |
| "glm_5_1": 45.8, | |
| "gpt_4_1": 27.6, | |
| "grok_4_1": 12.8, | |
| "kimi_k2_5": 42, | |
| "kimi_k2_6": 49.5, | |
| "llama_4_maverick": 30.6, | |
| "minimax_m2_7": 41.5, | |
| "mistral_small_creative": 27.1, | |
| "qwen3_5_flash": 39.6 | |
| }, | |
| "Bayesian ELO": { | |
| "claude_opus_4_6": null, | |
| "claude_opus_4_7": null, | |
| "claude_sonnet_4_5": 1513.0, | |
| "deepseek_v3_2": 1492.1, | |
| "deepseek_v4_flash": null, | |
| "deepseek_v4_pro": null, | |
| "gemini_2_5_flash": 1529.1, | |
| "gemini_3_1_flash_lite": null, | |
| "gemini_3_1_pro": null, | |
| "gemma_4_26b": 1533.7, | |
| "glm_4_7": 1490.0, | |
| "glm_5_1": null, | |
| "gpt_4_1": 1471.9, | |
| "grok_4_1": 1517.0, | |
| "kimi_k2_5": null, | |
| "kimi_k2_6": null, | |
| "llama_4_maverick": 1483.3, | |
| "minimax_m2_7": 1514.4, | |
| "mistral_small_creative": 1533.5, | |
| "qwen3_5_flash": 1492.6 | |
| }, | |
| "Behavioral unique-wr": { | |
| "claude_opus_4_6": 0.551, | |
| "claude_opus_4_7": 0.5711, | |
| "claude_sonnet_4_5": 0.6253, | |
| "deepseek_v3_2": 0.7126, | |
| "deepseek_v4_flash": 0.7088, | |
| "deepseek_v4_pro": 0.6642, | |
| "gemini_2_5_flash": 0.7278, | |
| "gemini_3_1_flash_lite": 0.6435, | |
| "gemini_3_1_pro": 0.6675, | |
| "gemma_4_26b": 0.5971, | |
| "glm_4_7": 0.6667, | |
| "glm_5_1": 0.6534, | |
| "gpt_4_1": 0.6878, | |
| "grok_4_1": 0.796, | |
| "kimi_k2_5": 0.681, | |
| "kimi_k2_6": 0.677, | |
| "llama_4_maverick": 0.6456, | |
| "minimax_m2_7": 0.649, | |
| "mistral_small_creative": 0.5567, | |
| "qwen3_5_flash": 0.6341 | |
| }, | |
| "Behavioral repetition": { | |
| "claude_opus_4_6": -0.0757, | |
| "claude_opus_4_7": -0.071, | |
| "claude_sonnet_4_5": -0.0526, | |
| "deepseek_v3_2": -0.0288, | |
| "deepseek_v4_flash": -0.0302, | |
| "deepseek_v4_pro": -0.0402, | |
| "gemini_2_5_flash": -0.0299, | |
| "gemini_3_1_flash_lite": -0.0485, | |
| "gemini_3_1_pro": -0.0401, | |
| "gemma_4_26b": -0.0688, | |
| "glm_4_7": -0.0382, | |
| "glm_5_1": -0.0409, | |
| "gpt_4_1": -0.0313, | |
| "grok_4_1": -0.0151, | |
| "kimi_k2_5": -0.037, | |
| "kimi_k2_6": -0.0376, | |
| "llama_4_maverick": -0.0637, | |
| "minimax_m2_7": -0.0458, | |
| "mistral_small_creative": -0.0945, | |
| "qwen3_5_flash": -0.0693 | |
| } | |
| }, | |
| "spearman_matrix": { | |
| "Likert overall": { | |
| "Likert overall": 1.0, | |
| "F1 Likert mean": 0.912, | |
| "F2 Likert mean": 0.61, | |
| "F12 Likert mean": 0.841, | |
| "F13 Likert mean": 0.855, | |
| "F1 binary rate": -0.086, | |
| "Flaw hunter mean": 0.27, | |
| "Bayesian ELO": -0.143, | |
| "Behavioral unique-wr": -0.196, | |
| "Behavioral repetition": -0.09 | |
| }, | |
| "F1 Likert mean": { | |
| "Likert overall": 0.912, | |
| "F1 Likert mean": 1.0, | |
| "F2 Likert mean": 0.372, | |
| "F12 Likert mean": 0.725, | |
| "F13 Likert mean": 0.669, | |
| "F1 binary rate": -0.094, | |
| "Flaw hunter mean": 0.281, | |
| "Bayesian ELO": -0.155, | |
| "Behavioral unique-wr": -0.161, | |
| "Behavioral repetition": -0.082 | |
| }, | |
| "F2 Likert mean": { | |
| "Likert overall": 0.61, | |
| "F1 Likert mean": 0.372, | |
| "F2 Likert mean": 1.0, | |
| "F12 Likert mean": 0.686, | |
| "F13 Likert mean": 0.59, | |
| "F1 binary rate": -0.138, | |
| "Flaw hunter mean": 0.056, | |
| "Bayesian ELO": -0.13, | |
| "Behavioral unique-wr": -0.232, | |
| "Behavioral repetition": -0.142 | |
| }, | |
| "F12 Likert mean": { | |
| "Likert overall": 0.841, | |
| "F1 Likert mean": 0.725, | |
| "F2 Likert mean": 0.686, | |
| "F12 Likert mean": 1.0, | |
| "F13 Likert mean": 0.748, | |
| "F1 binary rate": 0.05, | |
| "Flaw hunter mean": 0.162, | |
| "Bayesian ELO": -0.02, | |
| "Behavioral unique-wr": -0.146, | |
| "Behavioral repetition": -0.068 | |
| }, | |
| "F13 Likert mean": { | |
| "Likert overall": 0.855, | |
| "F1 Likert mean": 0.669, | |
| "F2 Likert mean": 0.59, | |
| "F12 Likert mean": 0.748, | |
| "F13 Likert mean": 1.0, | |
| "F1 binary rate": 0.057, | |
| "Flaw hunter mean": 0.489, | |
| "Bayesian ELO": -0.314, | |
| "Behavioral unique-wr": -0.032, | |
| "Behavioral repetition": 0.079 | |
| }, | |
| "F1 binary rate": { | |
| "Likert overall": -0.086, | |
| "F1 Likert mean": -0.094, | |
| "F2 Likert mean": -0.138, | |
| "F12 Likert mean": 0.05, | |
| "F13 Likert mean": 0.057, | |
| "F1 binary rate": 1.0, | |
| "Flaw hunter mean": 0.085, | |
| "Bayesian ELO": -0.027, | |
| "Behavioral unique-wr": 0.446, | |
| "Behavioral repetition": 0.442 | |
| }, | |
| "Flaw hunter mean": { | |
| "Likert overall": 0.27, | |
| "F1 Likert mean": 0.281, | |
| "F2 Likert mean": 0.056, | |
| "F12 Likert mean": 0.162, | |
| "F13 Likert mean": 0.489, | |
| "F1 binary rate": 0.085, | |
| "Flaw hunter mean": 1.0, | |
| "Bayesian ELO": -0.073, | |
| "Behavioral unique-wr": 0.14, | |
| "Behavioral repetition": 0.185 | |
| }, | |
| "Bayesian ELO": { | |
| "Likert overall": -0.143, | |
| "F1 Likert mean": -0.155, | |
| "F2 Likert mean": -0.13, | |
| "F12 Likert mean": -0.02, | |
| "F13 Likert mean": -0.314, | |
| "F1 binary rate": -0.027, | |
| "Flaw hunter mean": -0.073, | |
| "Bayesian ELO": 1.0, | |
| "Behavioral unique-wr": -0.282, | |
| "Behavioral repetition": -0.227 | |
| }, | |
| "Behavioral unique-wr": { | |
| "Likert overall": -0.196, | |
| "F1 Likert mean": -0.161, | |
| "F2 Likert mean": -0.232, | |
| "F12 Likert mean": -0.146, | |
| "F13 Likert mean": -0.032, | |
| "F1 binary rate": 0.446, | |
| "Flaw hunter mean": 0.14, | |
| "Bayesian ELO": -0.282, | |
| "Behavioral unique-wr": 1.0, | |
| "Behavioral repetition": 0.985 | |
| }, | |
| "Behavioral repetition": { | |
| "Likert overall": -0.09, | |
| "F1 Likert mean": -0.082, | |
| "F2 Likert mean": -0.142, | |
| "F12 Likert mean": -0.068, | |
| "F13 Likert mean": 0.079, | |
| "F1 binary rate": 0.442, | |
| "Flaw hunter mean": 0.185, | |
| "Bayesian ELO": -0.227, | |
| "Behavioral unique-wr": 0.985, | |
| "Behavioral repetition": 1.0 | |
| } | |
| } | |
| } |