| Evaluation Results for model: gemini-1.5-flash-exp-0827 | |
| Timestamp: 20240912_191049 | |
| Average Scores: | |
| bleu: 0.2002 | |
| rouge-1: 0.3270 | |
| rouge-2: 0.2266 | |
| rouge-l: 0.3221 | |
| cosine_similarity: 0.5898 | |
| structural_similarity: 0.3454 | |
| information_retrieval: 0.6050 | |
| code_consistency: 0.1309 | |
| readability: 0.2052 | |
| weighted_score: 0.3310 | |
| Detailed Results: | |
| Repository: labelme | |
| Scores: | |
| BLEU: 0.1166 | |
| ROUGE-1: 0.2105 | |
| ROUGE-2: 0.0473 | |
| ROUGE-L: 0.1958 | |
| Cosine Similarity: 0.5298 | |
| Structural Similarity: 0.2632 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0351 | |
| Readability: 0.2891 | |
| Weighted Score: 0.3710 | |
| Repository: gpt-engineer | |
| Scores: | |
| BLEU: 0.9986 | |
| ROUGE-1: 0.9978 | |
| ROUGE-2: 0.9882 | |
| ROUGE-L: 0.9978 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9333 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0887 | |
| Readability: 0.2474 | |
| Weighted Score: 0.6199 | |
| Repository: ChatGLM-6B | |
| Scores: | |
| BLEU: 0.6845 | |
| ROUGE-1: 0.8470 | |
| ROUGE-2: 0.8428 | |
| ROUGE-L: 0.8470 | |
| Cosine Similarity: 0.9305 | |
| Structural Similarity: 0.8571 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0825 | |
| Readability: 0.1892 | |
| Weighted Score: 0.5061 | |
| Repository: SMSBoom | |
| Scores: | |
| BLEU: 0.0247 | |
| ROUGE-1: 0.1138 | |
| ROUGE-2: 0.0323 | |
| ROUGE-L: 0.1098 | |
| Cosine Similarity: 0.3564 | |
| Structural Similarity: 0.2250 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2778 | |
| Readability: 0.2698 | |
| Weighted Score: 0.3387 | |
| Repository: mackup | |
| Scores: | |
| BLEU: 0.0001 | |
| ROUGE-1: 0.1070 | |
| ROUGE-2: 0.0347 | |
| ROUGE-L: 0.1029 | |
| Cosine Similarity: 0.2943 | |
| Structural Similarity: 0.2692 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.2222 | |
| Readability: 0.2935 | |
| Weighted Score: 0.2477 | |
| Repository: TaskMatrix | |
| Scores: | |
| BLEU: 0.5963 | |
| ROUGE-1: 0.6918 | |
| ROUGE-2: 0.5534 | |
| ROUGE-L: 0.6839 | |
| Cosine Similarity: 0.8670 | |
| Structural Similarity: 0.3750 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.3117 | |
| Readability: -0.0125 | |
| Weighted Score: 0.4680 | |
| Repository: Deep-Live-Cam | |
| Scores: | |
| BLEU: 0.9976 | |
| ROUGE-1: 0.9977 | |
| ROUGE-2: 0.9965 | |
| ROUGE-L: 0.9977 | |
| Cosine Similarity: 0.9999 | |
| Structural Similarity: 0.9828 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0215 | |
| Readability: 0.4227 | |
| Weighted Score: 0.6466 | |
| Repository: python-fire | |
| Scores: | |
| BLEU: 0.1109 | |
| ROUGE-1: 0.2898 | |
| ROUGE-2: 0.0910 | |
| ROUGE-L: 0.2841 | |
| Cosine Similarity: 0.5700 | |
| Structural Similarity: 0.5500 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0305 | |
| Readability: 0.4329 | |
| Weighted Score: 0.3980 | |
| Repository: devika | |
| Scores: | |
| BLEU: 0.0399 | |
| ROUGE-1: 0.2448 | |
| ROUGE-2: 0.0509 | |
| ROUGE-L: 0.2337 | |
| Cosine Similarity: 0.6946 | |
| Structural Similarity: 0.3529 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0913 | |
| Readability: 0.4708 | |
| Weighted Score: 0.3189 | |
| Repository: gpt-pilot | |
| Scores: | |
| BLEU: 0.0476 | |
| ROUGE-1: 0.2038 | |
| ROUGE-2: 0.0367 | |
| ROUGE-L: 0.1921 | |
| Cosine Similarity: 0.3915 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0485 | |
| Readability: -0.0075 | |
| Weighted Score: 0.2916 | |
| Repository: Depix | |
| Scores: | |
| BLEU: 0.0451 | |
| ROUGE-1: 0.2547 | |
| ROUGE-2: 0.0708 | |
| ROUGE-L: 0.2516 | |
| Cosine Similarity: 0.6649 | |
| Structural Similarity: 0.4545 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4461 | |
| Weighted Score: 0.3450 | |
| Repository: Real-Time-Voice-Cloning | |
| Scores: | |
| BLEU: 0.5870 | |
| ROUGE-1: 0.7405 | |
| ROUGE-2: 0.6992 | |
| ROUGE-L: 0.7405 | |
| Cosine Similarity: 0.8188 | |
| Structural Similarity: 0.5357 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0526 | |
| Readability: 0.3605 | |
| Weighted Score: 0.4695 | |
| Repository: httpx | |
| Scores: | |
| BLEU: 0.1359 | |
| ROUGE-1: 0.1910 | |
| ROUGE-2: 0.0617 | |
| ROUGE-L: 0.1881 | |
| Cosine Similarity: 0.7284 | |
| Structural Similarity: 0.3182 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0917 | |
| Readability: 0.2065 | |
| Weighted Score: 0.3526 | |
| Repository: chatgpt-mirai-qq-bot | |
| Scores: | |
| BLEU: 0.0189 | |
| ROUGE-1: 0.0823 | |
| ROUGE-2: 0.0136 | |
| ROUGE-L: 0.0804 | |
| Cosine Similarity: 0.1472 | |
| Structural Similarity: 0.4062 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0374 | |
| Readability: 0.4867 | |
| Weighted Score: 0.2880 | |
| Repository: gpt-researcher | |
| Scores: | |
| BLEU: 0.0538 | |
| ROUGE-1: 0.2109 | |
| ROUGE-2: 0.0658 | |
| ROUGE-L: 0.2004 | |
| Cosine Similarity: 0.6559 | |
| Structural Similarity: 0.2857 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0594 | |
| Readability: 0.2566 | |
| Weighted Score: 0.3387 | |
| Repository: mkdocs | |
| Scores: | |
| BLEU: 0.0716 | |
| ROUGE-1: 0.2661 | |
| ROUGE-2: 0.0730 | |
| ROUGE-L: 0.2427 | |
| Cosine Similarity: 0.6749 | |
| Structural Similarity: 0.4000 | |
| Information Retrieval: 0.0000 | |
| Code Consistency: 0.0438 | |
| Readability: 0.3483 | |
| Weighted Score: 0.2125 | |
| Repository: face_recognition | |
| Scores: | |
| BLEU: 1.0000 | |
| ROUGE-1: 1.0000 | |
| ROUGE-2: 1.0000 | |
| ROUGE-L: 1.0000 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9884 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2727 | |
| Readability: 0.0823 | |
| Weighted Score: 0.6298 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0996 | |
| ROUGE-2: 0.0187 | |
| ROUGE-L: 0.0933 | |
| Cosine Similarity: 0.4690 | |
| Structural Similarity: 0.0491 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.3952 | |
| Readability: 0.3781 | |
| Weighted Score: 0.3335 | |
| Repository: GPT_API_free | |
| Scores: | |
| BLEU: 0.0109 | |
| ROUGE-1: 0.0671 | |
| ROUGE-2: 0.0030 | |
| ROUGE-L: 0.0671 | |
| Cosine Similarity: 0.2936 | |
| Structural Similarity: 0.1750 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 1.0000 | |
| Readability: 0.6163 | |
| Weighted Score: 0.4958 | |
| Repository: 30-Days-Of-Python | |
| Scores: | |
| BLEU: 0.0098 | |
| ROUGE-1: 0.2184 | |
| ROUGE-2: 0.0792 | |
| ROUGE-L: 0.2090 | |
| Cosine Similarity: 0.6504 | |
| Structural Similarity: 0.0857 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.3923 | |
| Weighted Score: 0.2500 | |
| Repository: ChatPaper | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0550 | |
| ROUGE-2: 0.0108 | |
| ROUGE-L: 0.0538 | |
| Cosine Similarity: 0.2486 | |
| Structural Similarity: 0.0909 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0526 | |
| Readability: 0.2728 | |
| Weighted Score: 0.2630 | |
| Repository: twint | |
| Scores: | |
| BLEU: 0.0447 | |
| ROUGE-1: 0.2194 | |
| ROUGE-2: 0.0315 | |
| ROUGE-L: 0.2007 | |
| Cosine Similarity: 0.6409 | |
| Structural Similarity: 0.2000 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1552 | |
| Readability: 0.5155 | |
| Weighted Score: 0.4378 | |
| Repository: flask | |
| Scores: | |
| BLEU: 0.3753 | |
| ROUGE-1: 0.6372 | |
| ROUGE-2: 0.5839 | |
| ROUGE-L: 0.6372 | |
| Cosine Similarity: 0.8470 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0976 | |
| Readability: 0.5012 | |
| Weighted Score: 0.4340 | |
| Repository: professional-programming | |
| Scores: | |
| BLEU: 0.0001 | |
| ROUGE-1: 0.0418 | |
| ROUGE-2: 0.0066 | |
| ROUGE-L: 0.0391 | |
| Cosine Similarity: 0.4266 | |
| Structural Similarity: 0.0150 | |
| Information Retrieval: 0.0000 | |
| Code Consistency: 0.0000 | |
| Readability: -0.6305 | |
| Weighted Score: -0.0790 | |
| Repository: EIPs | |
| Scores: | |
| BLEU: 0.0216 | |
| ROUGE-1: 0.1199 | |
| ROUGE-2: 0.0187 | |
| ROUGE-L: 0.1161 | |
| Cosine Similarity: 0.1735 | |
| Structural Similarity: 0.0833 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0237 | |
| Readability: 0.3903 | |
| Weighted Score: 0.1592 | |
| Repository: grok-1 | |
| Scores: | |
| BLEU: 0.6937 | |
| ROUGE-1: 0.8199 | |
| ROUGE-2: 0.7263 | |
| ROUGE-L: 0.8033 | |
| Cosine Similarity: 0.8960 | |
| Structural Similarity: 0.3333 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0361 | |
| Readability: 0.3202 | |
| Weighted Score: 0.4219 | |
| Repository: PyTorch-GAN | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.1279 | |
| ROUGE-2: 0.0324 | |
| ROUGE-L: 0.1246 | |
| Cosine Similarity: 0.6714 | |
| Structural Similarity: 0.0564 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0548 | |
| Readability: 0.1913 | |
| Weighted Score: 0.2915 | |
| Repository: public-apis | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0217 | |
| ROUGE-2: 0.0023 | |
| ROUGE-L: 0.0209 | |
| Cosine Similarity: 0.2497 | |
| Structural Similarity: 0.0714 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.5246 | |
| Weighted Score: 0.2585 | |
| Repository: hackingtool | |
| Scores: | |
| BLEU: 0.9996 | |
| ROUGE-1: 1.0000 | |
| ROUGE-2: 0.9990 | |
| ROUGE-L: 1.0000 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9900 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.4118 | |
| Readability: -0.8108 | |
| Weighted Score: 0.4391 | |
| Repository: cascadia-code | |
| Scores: | |
| BLEU: 0.0427 | |
| ROUGE-1: 0.1362 | |
| ROUGE-2: 0.0147 | |
| ROUGE-L: 0.1331 | |
| Cosine Similarity: 0.1441 | |
| Structural Similarity: 0.2727 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.1333 | |
| Readability: -1.2842 | |
| Weighted Score: -0.0547 | |
| Repository: python-cheatsheet | |
| Scores: | |
| BLEU: 0.0162 | |
| ROUGE-1: 0.3584 | |
| ROUGE-2: 0.2897 | |
| ROUGE-L: 0.3581 | |
| Cosine Similarity: 0.6716 | |
| Structural Similarity: 0.1445 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1176 | |
| Readability: 0.5368 | |
| Weighted Score: 0.3277 | |
| Repository: rembg | |
| Scores: | |
| BLEU: 0.0213 | |
| ROUGE-1: 0.2231 | |
| ROUGE-2: 0.0652 | |
| ROUGE-L: 0.2211 | |
| Cosine Similarity: 0.4398 | |
| Structural Similarity: 0.3929 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0870 | |
| Readability: 0.4992 | |
| Weighted Score: 0.4197 | |
| Repository: devops-exercises | |
| Scores: | |
| BLEU: 0.0151 | |
| ROUGE-1: 0.3862 | |
| ROUGE-2: 0.3091 | |
| ROUGE-L: 0.3862 | |
| Cosine Similarity: 0.8252 | |
| Structural Similarity: 0.0260 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0833 | |
| Readability: 0.3832 | |
| Weighted Score: 0.2560 | |
| Repository: AutoEq | |
| Scores: | |
| BLEU: 0.0127 | |
| ROUGE-1: 0.2063 | |
| ROUGE-2: 0.0339 | |
| ROUGE-L: 0.2003 | |
| Cosine Similarity: 0.4769 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0424 | |
| Readability: 0.4055 | |
| Weighted Score: 0.2583 | |
| Repository: MiniGPT-4 | |
| Scores: | |
| BLEU: 0.0747 | |
| ROUGE-1: 0.2127 | |
| ROUGE-2: 0.0410 | |
| ROUGE-L: 0.2127 | |
| Cosine Similarity: 0.6120 | |
| Structural Similarity: 0.4231 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0597 | |
| Readability: 0.0150 | |
| Weighted Score: 0.2215 | |
| Repository: python-spider | |
| Scores: | |
| BLEU: 0.0341 | |
| ROUGE-1: 0.0167 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0167 | |
| Cosine Similarity: 0.4361 | |
| Structural Similarity: 0.3571 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0443 | |
| Readability: -1.2809 | |
| Weighted Score: -0.0035 | |
| Repository: chatgpt-retrieval-plugin | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.1156 | |
| ROUGE-2: 0.0324 | |
| ROUGE-L: 0.1122 | |
| Cosine Similarity: 0.6687 | |
| Structural Similarity: 0.0078 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0382 | |
| Readability: 0.4085 | |
| Weighted Score: 0.2857 | |
| Repository: flux | |
| Scores: | |
| BLEU: 0.0690 | |
| ROUGE-1: 0.2222 | |
| ROUGE-2: 0.0404 | |
| ROUGE-L: 0.2124 | |
| Cosine Similarity: 0.6520 | |
| Structural Similarity: 0.1957 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1515 | |
| Readability: 0.2698 | |
| Weighted Score: 0.3918 | |
| Repository: pyright | |
| Scores: | |
| BLEU: 0.0343 | |
| ROUGE-1: 0.2049 | |
| ROUGE-2: 0.0407 | |
| ROUGE-L: 0.1995 | |
| Cosine Similarity: 0.2993 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4024 | |
| Weighted Score: 0.2587 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0021 | |
| ROUGE-1: 0.1214 | |
| ROUGE-2: 0.0254 | |
| ROUGE-L: 0.1188 | |
| Cosine Similarity: 0.4761 | |
| Structural Similarity: 0.1474 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.4839 | |
| Readability: 0.4095 | |
| Weighted Score: 0.3301 | |