| Evaluation Results for model: gemini-1.5-flash-exp-0827 |
| Timestamp: 20240912_183343 |
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| 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 |
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| Detailed Results: |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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