| Evaluation Results for model: gemini-1.5-flash-exp-0827 | |
| Timestamp: 20240912_183343 | |
| Average Scores: | |
| bleu: 0.2181 | |
| rouge-1: 0.3400 | |
| rouge-2: 0.2497 | |
| rouge-l: 0.3361 | |
| cosine_similarity: 0.6153 | |
| structural_similarity: 0.3760 | |
| information_retrieval: 0.6100 | |
| code_consistency: 0.1289 | |
| readability: 0.2722 | |
| weighted_score: 0.3540 | |
| Detailed Results: | |
| Repository: labelme | |
| Scores: | |
| BLEU: 0.1055 | |
| ROUGE-1: 0.2299 | |
| ROUGE-2: 0.0661 | |
| ROUGE-L: 0.2222 | |
| Cosine Similarity: 0.6059 | |
| Structural Similarity: 0.2105 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0351 | |
| Readability: 0.3534 | |
| Weighted Score: 0.3872 | |
| Repository: gpt-engineer | |
| Scores: | |
| BLEU: 0.9390 | |
| ROUGE-1: 0.9612 | |
| ROUGE-2: 0.9542 | |
| ROUGE-L: 0.9612 | |
| Cosine Similarity: 0.9955 | |
| Structural Similarity: 0.8824 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0887 | |
| Readability: 0.2515 | |
| Weighted Score: 0.6056 | |
| Repository: ChatGLM-6B | |
| Scores: | |
| BLEU: 0.6070 | |
| ROUGE-1: 0.8000 | |
| ROUGE-2: 0.7879 | |
| ROUGE-L: 0.8000 | |
| Cosine Similarity: 0.9125 | |
| Structural Similarity: 0.7857 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0825 | |
| Readability: 0.1903 | |
| Weighted Score: 0.4447 | |
| Repository: SMSBoom | |
| Scores: | |
| BLEU: 0.0660 | |
| ROUGE-1: 0.1284 | |
| ROUGE-2: 0.0342 | |
| ROUGE-L: 0.1284 | |
| Cosine Similarity: 0.3374 | |
| Structural Similarity: 0.4773 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1111 | |
| Readability: 0.4786 | |
| Weighted Score: 0.2957 | |
| Repository: mackup | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0901 | |
| ROUGE-2: 0.0256 | |
| ROUGE-L: 0.0901 | |
| Cosine Similarity: 0.2011 | |
| Structural Similarity: 0.3846 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.1852 | |
| Readability: 0.3483 | |
| Weighted Score: 0.3322 | |
| Repository: TaskMatrix | |
| Scores: | |
| BLEU: 1.0000 | |
| ROUGE-1: 1.0000 | |
| ROUGE-2: 1.0000 | |
| ROUGE-L: 1.0000 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 1.0000 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.3247 | |
| Readability: 0.1425 | |
| Weighted Score: 0.6534 | |
| Repository: Deep-Live-Cam | |
| Scores: | |
| BLEU: 0.9535 | |
| ROUGE-1: 0.9785 | |
| ROUGE-2: 0.9667 | |
| ROUGE-L: 0.9785 | |
| Cosine Similarity: 0.9914 | |
| Structural Similarity: 0.8276 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0215 | |
| Readability: 0.4166 | |
| Weighted Score: 0.6223 | |
| Repository: python-fire | |
| Scores: | |
| BLEU: 0.1193 | |
| ROUGE-1: 0.2987 | |
| ROUGE-2: 0.1054 | |
| ROUGE-L: 0.2873 | |
| Cosine Similarity: 0.6834 | |
| Structural Similarity: 0.4167 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0290 | |
| Readability: 0.4390 | |
| Weighted Score: 0.3986 | |
| Repository: devika | |
| Scores: | |
| BLEU: 0.0327 | |
| ROUGE-1: 0.2470 | |
| ROUGE-2: 0.0664 | |
| ROUGE-L: 0.2254 | |
| Cosine Similarity: 0.6439 | |
| Structural Similarity: 0.2941 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0865 | |
| Readability: 0.2373 | |
| Weighted Score: 0.2598 | |
| Repository: gpt-pilot | |
| Scores: | |
| BLEU: 0.0025 | |
| ROUGE-1: 0.2052 | |
| ROUGE-2: 0.0511 | |
| ROUGE-L: 0.1972 | |
| Cosine Similarity: 0.5378 | |
| Structural Similarity: 0.1250 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0277 | |
| Readability: 0.6725 | |
| Weighted Score: 0.3017 | |
| Repository: Depix | |
| Scores: | |
| BLEU: 0.0433 | |
| ROUGE-1: 0.2758 | |
| ROUGE-2: 0.0686 | |
| ROUGE-L: 0.2726 | |
| Cosine Similarity: 0.6378 | |
| Structural Similarity: 0.5455 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4420 | |
| Weighted Score: 0.3917 | |
| Repository: Real-Time-Voice-Cloning | |
| Scores: | |
| BLEU: 0.6419 | |
| ROUGE-1: 0.8647 | |
| ROUGE-2: 0.8170 | |
| ROUGE-L: 0.8647 | |
| Cosine Similarity: 0.8594 | |
| Structural Similarity: 0.4737 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0714 | |
| Readability: 0.3615 | |
| Weighted Score: 0.4090 | |
| Repository: httpx | |
| Scores: | |
| BLEU: 0.1042 | |
| ROUGE-1: 0.1917 | |
| ROUGE-2: 0.0565 | |
| ROUGE-L: 0.1886 | |
| Cosine Similarity: 0.7172 | |
| Structural Similarity: 0.3750 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0673 | |
| Readability: 0.0914 | |
| Weighted Score: 0.3660 | |
| Repository: chatgpt-mirai-qq-bot | |
| Scores: | |
| BLEU: 0.0049 | |
| ROUGE-1: 0.0905 | |
| ROUGE-2: 0.0144 | |
| ROUGE-L: 0.0876 | |
| Cosine Similarity: 0.6742 | |
| Structural Similarity: 0.3462 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0136 | |
| Readability: -0.6027 | |
| Weighted Score: 0.0711 | |
| Repository: gpt-researcher | |
| Scores: | |
| BLEU: 0.0164 | |
| ROUGE-1: 0.1877 | |
| ROUGE-2: 0.0686 | |
| ROUGE-L: 0.1809 | |
| Cosine Similarity: 0.6425 | |
| Structural Similarity: 0.1667 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0639 | |
| Readability: 0.4187 | |
| Weighted Score: 0.3137 | |
| Repository: mkdocs | |
| Scores: | |
| BLEU: 0.1845 | |
| ROUGE-1: 0.2636 | |
| ROUGE-2: 0.1106 | |
| ROUGE-L: 0.2594 | |
| Cosine Similarity: 0.6949 | |
| Structural Similarity: 0.5714 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0301 | |
| Readability: 0.2820 | |
| Weighted Score: 0.3087 | |
| Repository: face_recognition | |
| Scores: | |
| BLEU: 0.9992 | |
| ROUGE-1: 0.9982 | |
| ROUGE-2: 0.9970 | |
| ROUGE-L: 0.9982 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9884 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2727 | |
| Readability: 0.0823 | |
| Weighted Score: 0.6295 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0719 | |
| ROUGE-2: 0.0135 | |
| ROUGE-L: 0.0705 | |
| Cosine Similarity: 0.5259 | |
| Structural Similarity: 0.0173 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.1048 | |
| Readability: 0.4424 | |
| Weighted Score: 0.2090 | |
| Repository: GPT_API_free | |
| Scores: | |
| BLEU: 0.0343 | |
| ROUGE-1: 0.0349 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0349 | |
| Cosine Similarity: 0.2882 | |
| Structural Similarity: 0.0250 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 1.0000 | |
| Readability: 0.4992 | |
| Weighted Score: 0.4569 | |
| Repository: 30-Days-Of-Python | |
| Scores: | |
| BLEU: 0.0051 | |
| ROUGE-1: 0.1577 | |
| ROUGE-2: 0.0379 | |
| ROUGE-L: 0.1535 | |
| Cosine Similarity: 0.5834 | |
| Structural Similarity: 0.1000 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.6923 | |
| Readability: 0.4901 | |
| Weighted Score: 0.3570 | |
| Repository: ChatPaper | |
| Scores: | |
| BLEU: 0.0001 | |
| ROUGE-1: 0.0827 | |
| ROUGE-2: 0.0227 | |
| ROUGE-L: 0.0792 | |
| Cosine Similarity: 0.3356 | |
| Structural Similarity: 0.0727 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0395 | |
| Readability: 0.2627 | |
| Weighted Score: 0.2674 | |
| Repository: twint | |
| Scores: | |
| BLEU: 0.0339 | |
| ROUGE-1: 0.2349 | |
| ROUGE-2: 0.0656 | |
| ROUGE-L: 0.2107 | |
| Cosine Similarity: 0.7163 | |
| Structural Similarity: 0.3281 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1034 | |
| Readability: 0.4783 | |
| Weighted Score: 0.4413 | |
| Repository: flask | |
| Scores: | |
| BLEU: 0.5538 | |
| ROUGE-1: 0.7851 | |
| ROUGE-2: 0.7495 | |
| ROUGE-L: 0.7851 | |
| Cosine Similarity: 0.8439 | |
| Structural Similarity: 0.5714 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0651 | |
| Readability: 0.5195 | |
| Weighted Score: 0.4712 | |
| Repository: professional-programming | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0394 | |
| ROUGE-2: 0.0060 | |
| ROUGE-L: 0.0379 | |
| Cosine Similarity: 0.3105 | |
| Structural Similarity: 0.0564 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.2728 | |
| Weighted Score: 0.2940 | |
| Repository: EIPs | |
| Scores: | |
| BLEU: 0.0264 | |
| ROUGE-1: 0.1065 | |
| ROUGE-2: 0.0125 | |
| ROUGE-L: 0.1013 | |
| Cosine Similarity: 0.3168 | |
| Structural Similarity: 0.1875 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0947 | |
| Readability: 0.3178 | |
| Weighted Score: 0.2629 | |
| Repository: grok-1 | |
| Scores: | |
| BLEU: 0.9873 | |
| ROUGE-1: 0.9972 | |
| ROUGE-2: 0.9774 | |
| ROUGE-L: 0.9972 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.6250 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0361 | |
| Readability: 0.3497 | |
| Weighted Score: 0.5175 | |
| Repository: PyTorch-GAN | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0671 | |
| ROUGE-2: 0.0115 | |
| ROUGE-L: 0.0645 | |
| Cosine Similarity: 0.5027 | |
| Structural Similarity: 0.0414 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0274 | |
| Readability: 0.3077 | |
| Weighted Score: 0.2862 | |
| Repository: public-apis | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0172 | |
| ROUGE-2: 0.0018 | |
| ROUGE-L: 0.0172 | |
| Cosine Similarity: 0.1459 | |
| Structural Similarity: 0.0714 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4593 | |
| Weighted Score: 0.2348 | |
| Repository: hackingtool | |
| Scores: | |
| BLEU: 1.0000 | |
| ROUGE-1: 1.0000 | |
| ROUGE-2: 1.0000 | |
| ROUGE-L: 1.0000 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 1.0000 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.4118 | |
| Readability: -0.8108 | |
| Weighted Score: 0.4402 | |
| Repository: cascadia-code | |
| Scores: | |
| BLEU: 0.0794 | |
| ROUGE-1: 0.1618 | |
| ROUGE-2: 0.0267 | |
| ROUGE-L: 0.1553 | |
| Cosine Similarity: 0.4696 | |
| Structural Similarity: 0.4091 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0667 | |
| Readability: 0.2515 | |
| Weighted Score: 0.2509 | |
| Repository: python-cheatsheet | |
| Scores: | |
| BLEU: 0.0161 | |
| ROUGE-1: 0.3599 | |
| ROUGE-2: 0.2905 | |
| ROUGE-L: 0.3599 | |
| Cosine Similarity: 0.6725 | |
| Structural Similarity: 0.1445 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1176 | |
| Readability: 0.5378 | |
| Weighted Score: 0.3281 | |
| Repository: rembg | |
| Scores: | |
| BLEU: 0.0435 | |
| ROUGE-1: 0.2422 | |
| ROUGE-2: 0.0669 | |
| ROUGE-L: 0.2402 | |
| Cosine Similarity: 0.5827 | |
| Structural Similarity: 0.4792 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0957 | |
| Readability: 0.3006 | |
| Weighted Score: 0.4082 | |
| Repository: devops-exercises | |
| Scores: | |
| BLEU: 0.0151 | |
| ROUGE-1: 0.3865 | |
| ROUGE-2: 0.3092 | |
| ROUGE-L: 0.3865 | |
| Cosine Similarity: 0.8250 | |
| Structural Similarity: 0.0260 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0833 | |
| Readability: 0.3832 | |
| Weighted Score: 0.2560 | |
| Repository: AutoEq | |
| Scores: | |
| BLEU: 0.0343 | |
| ROUGE-1: 0.2434 | |
| ROUGE-2: 0.0357 | |
| ROUGE-L: 0.2299 | |
| Cosine Similarity: 0.4550 | |
| Structural Similarity: 0.4706 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1102 | |
| Readability: 0.5043 | |
| Weighted Score: 0.4359 | |
| Repository: MiniGPT-4 | |
| Scores: | |
| BLEU: 0.0049 | |
| ROUGE-1: 0.1601 | |
| ROUGE-2: 0.0399 | |
| ROUGE-L: 0.1601 | |
| Cosine Similarity: 0.4466 | |
| Structural Similarity: 0.2692 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0354 | |
| Readability: 0.4891 | |
| Weighted Score: 0.3090 | |
| Repository: python-spider | |
| Scores: | |
| BLEU: 0.0340 | |
| ROUGE-1: 0.0168 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0168 | |
| Cosine Similarity: 0.4402 | |
| Structural Similarity: 0.4286 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0443 | |
| Readability: -1.2819 | |
| Weighted Score: -0.0361 | |
| Repository: chatgpt-retrieval-plugin | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.1372 | |
| ROUGE-2: 0.0344 | |
| ROUGE-L: 0.1338 | |
| Cosine Similarity: 0.7049 | |
| Structural Similarity: 0.0781 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0446 | |
| Readability: 0.3584 | |
| Weighted Score: 0.2891 | |
| Repository: flux | |
| Scores: | |
| BLEU: 0.0278 | |
| ROUGE-1: 0.2455 | |
| ROUGE-2: 0.0541 | |
| ROUGE-L: 0.2291 | |
| Cosine Similarity: 0.5979 | |
| Structural Similarity: 0.3750 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0909 | |
| Readability: 0.4369 | |
| Weighted Score: 0.3433 | |
| Repository: pyright | |
| Scores: | |
| BLEU: 0.0092 | |
| ROUGE-1: 0.1627 | |
| ROUGE-2: 0.0287 | |
| ROUGE-L: 0.1627 | |
| Cosine Similarity: 0.2992 | |
| Structural Similarity: 0.3333 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.3016 | |
| Weighted Score: 0.2163 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0778 | |
| ROUGE-2: 0.0135 | |
| ROUGE-L: 0.0760 | |
| Cosine Similarity: 0.4146 | |
| Structural Similarity: 0.0578 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.3790 | |
| Readability: 0.4146 | |
| Weighted Score: 0.3316 | |