| Evaluation Results for model: gemini-1.5-flash-exp-0827 | |
| Timestamp: 20240912_180343 | |
| Average Scores: | |
| bleu: 0.1924 | |
| rouge-1: 0.3231 | |
| rouge-2: 0.2148 | |
| rouge-l: 0.3174 | |
| cosine_similarity: 0.6149 | |
| structural_similarity: 0.3317 | |
| information_retrieval: 0.5950 | |
| code_consistency: 0.1148 | |
| readability: 0.2765 | |
| weighted_score: 0.3397 | |
| Detailed Results: | |
| Repository: labelme | |
| Scores: | |
| BLEU: 0.0635 | |
| ROUGE-1: 0.1931 | |
| ROUGE-2: 0.0463 | |
| ROUGE-L: 0.1881 | |
| Cosine Similarity: 0.4746 | |
| Structural Similarity: 0.1711 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0383 | |
| Readability: 0.3534 | |
| Weighted Score: 0.3236 | |
| Repository: gpt-engineer | |
| Scores: | |
| BLEU: 0.9352 | |
| ROUGE-1: 0.9570 | |
| ROUGE-2: 0.9326 | |
| ROUGE-L: 0.9570 | |
| Cosine Similarity: 0.9946 | |
| Structural Similarity: 0.8667 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0837 | |
| Readability: 0.2474 | |
| Weighted Score: 0.6008 | |
| Repository: ChatGLM-6B | |
| Scores: | |
| BLEU: 0.9993 | |
| ROUGE-1: 0.9995 | |
| ROUGE-2: 0.9996 | |
| ROUGE-L: 0.9995 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9643 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0928 | |
| Readability: 0.1168 | |
| Weighted Score: 0.5982 | |
| Repository: SMSBoom | |
| Scores: | |
| BLEU: 0.0491 | |
| ROUGE-1: 0.1289 | |
| ROUGE-2: 0.0459 | |
| ROUGE-L: 0.1250 | |
| Cosine Similarity: 0.3262 | |
| Structural Similarity: 0.4348 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.2500 | |
| Readability: 0.8058 | |
| Weighted Score: 0.3822 | |
| Repository: mackup | |
| Scores: | |
| BLEU: 0.0004 | |
| ROUGE-1: 0.1042 | |
| ROUGE-2: 0.0313 | |
| ROUGE-L: 0.1001 | |
| Cosine Similarity: 0.2565 | |
| Structural Similarity: 0.3269 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2037 | |
| Readability: 0.2444 | |
| Weighted Score: 0.3159 | |
| Repository: TaskMatrix | |
| Scores: | |
| BLEU: 0.3552 | |
| ROUGE-1: 0.4581 | |
| ROUGE-2: 0.2997 | |
| ROUGE-L: 0.4430 | |
| Cosine Similarity: 0.7708 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2857 | |
| Readability: 0.1517 | |
| Weighted Score: 0.4251 | |
| Repository: Deep-Live-Cam | |
| Scores: | |
| BLEU: 0.9213 | |
| ROUGE-1: 0.9424 | |
| ROUGE-2: 0.9239 | |
| ROUGE-L: 0.9424 | |
| Cosine Similarity: 0.9882 | |
| Structural Similarity: 0.9138 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0215 | |
| Readability: 0.3422 | |
| Weighted Score: 0.5687 | |
| Repository: python-fire | |
| Scores: | |
| BLEU: 0.0974 | |
| ROUGE-1: 0.2829 | |
| ROUGE-2: 0.1057 | |
| ROUGE-L: 0.2804 | |
| Cosine Similarity: 0.6319 | |
| Structural Similarity: 0.1731 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0406 | |
| Readability: 0.4380 | |
| Weighted Score: 0.3283 | |
| Repository: devika | |
| Scores: | |
| BLEU: 0.0383 | |
| ROUGE-1: 0.2679 | |
| ROUGE-2: 0.0705 | |
| ROUGE-L: 0.2517 | |
| Cosine Similarity: 0.6788 | |
| Structural Similarity: 0.3529 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0673 | |
| Readability: 0.4156 | |
| Weighted Score: 0.3433 | |
| Repository: gpt-pilot | |
| Scores: | |
| BLEU: 0.0557 | |
| ROUGE-1: 0.2329 | |
| ROUGE-2: 0.0486 | |
| ROUGE-L: 0.2213 | |
| Cosine Similarity: 0.7353 | |
| Structural Similarity: 0.1875 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0577 | |
| Readability: 0.4177 | |
| Weighted Score: 0.3298 | |
| Repository: Depix | |
| Scores: | |
| BLEU: 0.0582 | |
| ROUGE-1: 0.2874 | |
| ROUGE-2: 0.0643 | |
| ROUGE-L: 0.2758 | |
| Cosine Similarity: 0.6785 | |
| Structural Similarity: 0.4545 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4962 | |
| Weighted Score: 0.3993 | |
| Repository: Real-Time-Voice-Cloning | |
| Scores: | |
| BLEU: 0.1195 | |
| ROUGE-1: 0.2944 | |
| ROUGE-2: 0.0867 | |
| ROUGE-L: 0.2833 | |
| Cosine Similarity: 0.5330 | |
| Structural Similarity: 0.4091 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0602 | |
| Readability: 0.4369 | |
| Weighted Score: 0.3478 | |
| Repository: httpx | |
| Scores: | |
| BLEU: 0.0863 | |
| ROUGE-1: 0.2033 | |
| ROUGE-2: 0.0525 | |
| ROUGE-L: 0.2033 | |
| Cosine Similarity: 0.6751 | |
| Structural Similarity: 0.4444 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0826 | |
| Readability: 0.0332 | |
| Weighted Score: 0.2791 | |
| Repository: chatgpt-mirai-qq-bot | |
| Scores: | |
| BLEU: 0.0086 | |
| ROUGE-1: 0.1122 | |
| ROUGE-2: 0.0239 | |
| ROUGE-L: 0.1094 | |
| Cosine Similarity: 0.5783 | |
| Structural Similarity: 0.2692 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0102 | |
| Readability: 0.1852 | |
| Weighted Score: 0.2129 | |
| Repository: gpt-researcher | |
| Scores: | |
| BLEU: 0.0549 | |
| ROUGE-1: 0.2141 | |
| ROUGE-2: 0.0567 | |
| ROUGE-L: 0.2007 | |
| Cosine Similarity: 0.7096 | |
| Structural Similarity: 0.1905 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0685 | |
| Readability: 0.3300 | |
| Weighted Score: 0.3910 | |
| Repository: mkdocs | |
| Scores: | |
| BLEU: 0.0892 | |
| ROUGE-1: 0.2163 | |
| ROUGE-2: 0.0554 | |
| ROUGE-L: 0.2119 | |
| Cosine Similarity: 0.7006 | |
| Structural Similarity: 0.4091 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0384 | |
| Readability: 0.1087 | |
| Weighted Score: 0.3255 | |
| 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: 0.0743 | |
| ROUGE-2: 0.0158 | |
| ROUGE-L: 0.0715 | |
| Cosine Similarity: 0.4272 | |
| Structural Similarity: 0.0838 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.3387 | |
| Readability: 0.3432 | |
| Weighted Score: 0.2329 | |
| Repository: GPT_API_free | |
| Scores: | |
| BLEU: 0.0263 | |
| ROUGE-1: 0.0755 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0713 | |
| Cosine Similarity: 0.2814 | |
| Structural Similarity: 0.2250 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 1.0000 | |
| Readability: 0.5676 | |
| Weighted Score: 0.4917 | |
| Repository: 30-Days-Of-Python | |
| Scores: | |
| BLEU: 0.0057 | |
| ROUGE-1: 0.2320 | |
| ROUGE-2: 0.1159 | |
| ROUGE-L: 0.2307 | |
| Cosine Similarity: 0.5209 | |
| Structural Similarity: 0.1000 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0769 | |
| Readability: 0.1422 | |
| Weighted Score: 0.2058 | |
| Repository: ChatPaper | |
| Scores: | |
| BLEU: 0.0015 | |
| ROUGE-1: 0.0669 | |
| ROUGE-2: 0.0165 | |
| ROUGE-L: 0.0657 | |
| Cosine Similarity: 0.5262 | |
| Structural Similarity: 0.1636 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0658 | |
| Readability: 0.1679 | |
| Weighted Score: 0.2009 | |
| Repository: twint | |
| Scores: | |
| BLEU: 0.1100 | |
| ROUGE-1: 0.1984 | |
| ROUGE-2: 0.0474 | |
| ROUGE-L: 0.1873 | |
| Cosine Similarity: 0.6700 | |
| Structural Similarity: 0.1750 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1207 | |
| Readability: 0.5747 | |
| Weighted Score: 0.4491 | |
| Repository: flask | |
| Scores: | |
| BLEU: 0.7321 | |
| ROUGE-1: 0.8896 | |
| ROUGE-2: 0.8780 | |
| ROUGE-L: 0.8896 | |
| Cosine Similarity: 0.9115 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0621 | |
| Readability: 0.4441 | |
| Weighted Score: 0.4842 | |
| Repository: professional-programming | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0459 | |
| ROUGE-2: 0.0063 | |
| ROUGE-L: 0.0445 | |
| Cosine Similarity: 0.4232 | |
| Structural Similarity: 0.0677 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.2393 | |
| Weighted Score: 0.2602 | |
| Repository: EIPs | |
| Scores: | |
| BLEU: 0.0094 | |
| ROUGE-1: 0.1690 | |
| ROUGE-2: 0.0245 | |
| ROUGE-L: 0.1572 | |
| Cosine Similarity: 0.2332 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0237 | |
| Readability: 0.4197 | |
| Weighted Score: 0.2947 | |
| Repository: grok-1 | |
| Scores: | |
| BLEU: 0.7739 | |
| ROUGE-1: 0.8618 | |
| ROUGE-2: 0.7638 | |
| ROUGE-L: 0.8564 | |
| Cosine Similarity: 0.9594 | |
| Structural Similarity: 0.2857 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0361 | |
| Readability: 0.3781 | |
| Weighted Score: 0.4475 | |
| Repository: PyTorch-GAN | |
| Scores: | |
| BLEU: 0.0010 | |
| ROUGE-1: 0.2089 | |
| ROUGE-2: 0.0686 | |
| ROUGE-L: 0.1924 | |
| Cosine Similarity: 0.7472 | |
| Structural Similarity: 0.1391 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0274 | |
| Readability: 0.1212 | |
| Weighted Score: 0.1741 | |
| Repository: public-apis | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0227 | |
| ROUGE-2: 0.0034 | |
| ROUGE-L: 0.0227 | |
| Cosine Similarity: 0.1893 | |
| Structural Similarity: 0.0804 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.5266 | |
| Weighted Score: 0.2139 | |
| Repository: hackingtool | |
| Scores: | |
| BLEU: 0.8202 | |
| ROUGE-1: 0.9394 | |
| ROUGE-2: 0.8722 | |
| ROUGE-L: 0.9394 | |
| Cosine Similarity: 0.9835 | |
| Structural Similarity: 0.6961 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.4064 | |
| Readability: -0.6325 | |
| Weighted Score: 0.3765 | |
| Repository: cascadia-code | |
| Scores: | |
| BLEU: 0.0193 | |
| ROUGE-1: 0.1635 | |
| ROUGE-2: 0.0328 | |
| ROUGE-L: 0.1538 | |
| Cosine Similarity: 0.1959 | |
| Structural Similarity: 0.0423 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0667 | |
| Readability: 0.6816 | |
| Weighted Score: 0.2671 | |
| Repository: python-cheatsheet | |
| Scores: | |
| BLEU: 0.0163 | |
| ROUGE-1: 0.3616 | |
| ROUGE-2: 0.2957 | |
| ROUGE-L: 0.3614 | |
| Cosine Similarity: 0.6738 | |
| Structural Similarity: 0.1066 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1176 | |
| Readability: 0.5368 | |
| Weighted Score: 0.3245 | |
| Repository: rembg | |
| Scores: | |
| BLEU: 0.0175 | |
| ROUGE-1: 0.1834 | |
| ROUGE-2: 0.0543 | |
| ROUGE-L: 0.1790 | |
| Cosine Similarity: 0.6081 | |
| Structural Similarity: 0.4000 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1043 | |
| Readability: -0.0034 | |
| Weighted Score: 0.3367 | |
| 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: 0.0297 | |
| ROUGE-1: 0.2288 | |
| ROUGE-2: 0.0500 | |
| ROUGE-L: 0.2153 | |
| Cosine Similarity: 0.4875 | |
| Structural Similarity: 0.0714 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0805 | |
| Readability: 0.4075 | |
| Weighted Score: 0.2930 | |
| Repository: MiniGPT-4 | |
| Scores: | |
| BLEU: 0.0603 | |
| ROUGE-1: 0.2175 | |
| ROUGE-2: 0.0582 | |
| ROUGE-L: 0.2058 | |
| Cosine Similarity: 0.6299 | |
| Structural Similarity: 0.5667 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0420 | |
| Readability: 0.2789 | |
| Weighted Score: 0.3660 | |
| Repository: python-spider | |
| Scores: | |
| BLEU: 0.0341 | |
| ROUGE-1: 0.0166 | |
| ROUGE-2: 0.0011 | |
| ROUGE-L: 0.0166 | |
| Cosine Similarity: 0.4357 | |
| Structural Similarity: 0.3571 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0443 | |
| Readability: -1.2809 | |
| Weighted Score: -0.0435 | |
| Repository: chatgpt-retrieval-plugin | |
| Scores: | |
| BLEU: 0.0001 | |
| ROUGE-1: 0.1851 | |
| ROUGE-2: 0.0515 | |
| ROUGE-L: 0.1810 | |
| Cosine Similarity: 0.7750 | |
| Structural Similarity: 0.0859 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0573 | |
| Readability: 0.4126 | |
| Weighted Score: 0.3540 | |
| Repository: flux | |
| Scores: | |
| BLEU: 0.0831 | |
| ROUGE-1: 0.2567 | |
| ROUGE-2: 0.0599 | |
| ROUGE-L: 0.2388 | |
| Cosine Similarity: 0.6379 | |
| Structural Similarity: 0.4375 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0606 | |
| Readability: 0.5412 | |
| Weighted Score: 0.4148 | |
| Repository: pyright | |
| Scores: | |
| BLEU: 0.0082 | |
| ROUGE-1: 0.1824 | |
| ROUGE-2: 0.0124 | |
| ROUGE-L: 0.1763 | |
| Cosine Similarity: 0.3494 | |
| Structural Similarity: 0.3333 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4207 | |
| Weighted Score: 0.2457 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0616 | |
| ROUGE-2: 0.0119 | |
| ROUGE-L: 0.0588 | |
| Cosine Similarity: 0.3735 | |
| Structural Similarity: 0.0202 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.1048 | |
| Readability: 0.1862 | |
| Weighted Score: 0.1420 | |