| Evaluation Results for model: gemini-1.5-flash-exp-0827 |
| Timestamp: 20240912_144919 |
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| Average Scores: |
| bleu: 0.0166 |
| rouge-1: 0.1600 |
| rouge-2: 0.0388 |
| rouge-l: 0.1533 |
| cosine_similarity: 0.4187 |
| structural_similarity: 0.2359 |
| information_retrieval: 0.7650 |
| code_consistency: 0.0786 |
| readability: 0.4334 |
| weighted_score: 0.3343 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0045 |
| ROUGE-1: 0.2016 |
| ROUGE-2: 0.0558 |
| ROUGE-L: 0.2016 |
| Cosine Similarity: 0.3689 |
| Structural Similarity: 0.1447 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0192 |
| Readability: 0.5195 |
| Weighted Score: 0.2949 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0241 |
| ROUGE-1: 0.1868 |
| ROUGE-2: 0.0356 |
| ROUGE-L: 0.1758 |
| Cosine Similarity: 0.5532 |
| Structural Similarity: 0.3810 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0739 |
| Readability: 0.3503 |
| Weighted Score: 0.3540 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0630 |
| ROUGE-2: 0.0078 |
| ROUGE-L: 0.0612 |
| Cosine Similarity: 0.2566 |
| Structural Similarity: 0.1250 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0619 |
| Readability: 0.5276 |
| Weighted Score: 0.2805 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0304 |
| ROUGE-1: 0.1576 |
| ROUGE-2: 0.0527 |
| ROUGE-L: 0.1576 |
| Cosine Similarity: 0.2239 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1667 |
| Readability: 0.6264 |
| Weighted Score: 0.3813 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0703 |
| ROUGE-2: 0.0175 |
| ROUGE-L: 0.0692 |
| Cosine Similarity: 0.1444 |
| Structural Similarity: 0.1538 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0926 |
| Readability: 0.4339 |
| Weighted Score: 0.2604 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0313 |
| ROUGE-1: 0.2038 |
| ROUGE-2: 0.0431 |
| ROUGE-L: 0.1942 |
| Cosine Similarity: 0.5266 |
| Structural Similarity: 0.1250 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0390 |
| Readability: 0.4288 |
| Weighted Score: 0.3766 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0012 |
| ROUGE-1: 0.1750 |
| ROUGE-2: 0.0370 |
| ROUGE-L: 0.1676 |
| Cosine Similarity: 0.5762 |
| Structural Similarity: 0.1207 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0215 |
| Readability: 0.6776 |
| Weighted Score: 0.3423 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.0236 |
| ROUGE-1: 0.3237 |
| ROUGE-2: 0.1037 |
| ROUGE-L: 0.3092 |
| Cosine Similarity: 0.6595 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0189 |
| Readability: 0.5236 |
| Weighted Score: 0.3714 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0304 |
| ROUGE-1: 0.2659 |
| ROUGE-2: 0.0721 |
| ROUGE-L: 0.2561 |
| Cosine Similarity: 0.6576 |
| Structural Similarity: 0.2647 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0577 |
| Readability: 0.3493 |
| Weighted Score: 0.3965 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0290 |
| ROUGE-1: 0.2234 |
| ROUGE-2: 0.0383 |
| ROUGE-L: 0.2129 |
| Cosine Similarity: 0.5484 |
| Structural Similarity: 0.1458 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0508 |
| Readability: 0.5215 |
| Weighted Score: 0.4027 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0237 |
| ROUGE-1: 0.2295 |
| ROUGE-2: 0.0409 |
| ROUGE-L: 0.2197 |
| Cosine Similarity: 0.5191 |
| Structural Similarity: 0.3636 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0400 |
| Readability: 0.4329 |
| Weighted Score: 0.3216 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0138 |
| ROUGE-1: 0.1797 |
| ROUGE-2: 0.0229 |
| ROUGE-L: 0.1797 |
| Cosine Similarity: 0.3744 |
| Structural Similarity: 0.3889 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0376 |
| Readability: 0.3635 |
| Weighted Score: 0.2907 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0635 |
| ROUGE-1: 0.2023 |
| ROUGE-2: 0.0387 |
| ROUGE-L: 0.2023 |
| Cosine Similarity: 0.6682 |
| Structural Similarity: 0.5714 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0765 |
| Readability: 0.3209 |
| Weighted Score: 0.4246 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0006 |
| ROUGE-1: 0.0771 |
| ROUGE-2: 0.0120 |
| ROUGE-L: 0.0771 |
| Cosine Similarity: 0.1541 |
| Structural Similarity: 0.2692 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0408 |
| Readability: 0.5327 |
| Weighted Score: 0.3627 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.1148 |
| ROUGE-2: 0.0346 |
| ROUGE-L: 0.1128 |
| Cosine Similarity: 0.3273 |
| Structural Similarity: 0.1667 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0411 |
| Readability: 0.2525 |
| Weighted Score: 0.3169 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.0413 |
| ROUGE-1: 0.2228 |
| ROUGE-2: 0.0733 |
| ROUGE-L: 0.2176 |
| Cosine Similarity: 0.5457 |
| Structural Similarity: 0.7143 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0356 |
| Readability: 0.5848 |
| Weighted Score: 0.3914 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0005 |
| ROUGE-1: 0.1937 |
| ROUGE-2: 0.0638 |
| ROUGE-L: 0.1800 |
| Cosine Similarity: 0.5324 |
| Structural Similarity: 0.1628 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.1818 |
| Readability: 0.3452 |
| Weighted Score: 0.3896 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0504 |
| ROUGE-2: 0.0118 |
| ROUGE-L: 0.0485 |
| Cosine Similarity: 0.4647 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0484 |
| Readability: 0.5666 |
| Weighted Score: 0.3358 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0019 |
| ROUGE-1: 0.0735 |
| ROUGE-2: 0.0000 |
| ROUGE-L: 0.0735 |
| Cosine Similarity: 0.1873 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 1.0000 |
| Readability: 0.5337 |
| Weighted Score: 0.5081 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1063 |
| ROUGE-2: 0.0216 |
| ROUGE-L: 0.1017 |
| Cosine Similarity: 0.6198 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.4820 |
| Weighted Score: 0.3361 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0002 |
| ROUGE-1: 0.0765 |
| ROUGE-2: 0.0142 |
| ROUGE-L: 0.0742 |
| Cosine Similarity: 0.1987 |
| Structural Similarity: 0.0636 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0592 |
| Readability: 0.3199 |
| Weighted Score: 0.2676 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0231 |
| ROUGE-1: 0.1876 |
| ROUGE-2: 0.0258 |
| ROUGE-L: 0.1735 |
| Cosine Similarity: 0.6347 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1293 |
| Readability: 0.5679 |
| Weighted Score: 0.3957 |
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| Repository: flask |
| Scores: |
| BLEU: 0.1430 |
| ROUGE-1: 0.3441 |
| ROUGE-2: 0.1105 |
| ROUGE-L: 0.3082 |
| Cosine Similarity: 0.5144 |
| Structural Similarity: 0.3571 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0680 |
| Readability: 0.4319 |
| Weighted Score: 0.3469 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0149 |
| ROUGE-2: 0.0018 |
| ROUGE-L: 0.0143 |
| Cosine Similarity: 0.1973 |
| Structural Similarity: 0.0376 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.1046 |
| Weighted Score: 0.2054 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0128 |
| ROUGE-1: 0.1583 |
| ROUGE-2: 0.0290 |
| ROUGE-L: 0.1467 |
| Cosine Similarity: 0.2478 |
| Structural Similarity: 0.4286 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0355 |
| Readability: 0.6011 |
| Weighted Score: 0.3274 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0596 |
| ROUGE-1: 0.3312 |
| ROUGE-2: 0.1000 |
| ROUGE-L: 0.3121 |
| Cosine Similarity: 0.5908 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0361 |
| Readability: 0.5276 |
| Weighted Score: 0.3512 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0887 |
| ROUGE-2: 0.0172 |
| ROUGE-L: 0.0870 |
| Cosine Similarity: 0.2773 |
| Structural Similarity: 0.0301 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0274 |
| Readability: -0.3746 |
| Weighted Score: 0.1277 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0183 |
| ROUGE-2: 0.0014 |
| ROUGE-L: 0.0180 |
| Cosine Similarity: 0.1557 |
| Structural Similarity: 0.0714 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.3554 |
| Weighted Score: 0.2551 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.1095 |
| ROUGE-2: 0.0213 |
| ROUGE-L: 0.0945 |
| Cosine Similarity: 0.2287 |
| Structural Similarity: 0.0600 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0214 |
| Readability: 0.3300 |
| Weighted Score: 0.2667 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0124 |
| ROUGE-1: 0.1802 |
| ROUGE-2: 0.0357 |
| ROUGE-L: 0.1661 |
| Cosine Similarity: 0.4152 |
| Structural Similarity: 0.3182 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1333 |
| Readability: 0.5276 |
| Weighted Score: 0.3395 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0218 |
| ROUGE-2: 0.0022 |
| ROUGE-L: 0.0207 |
| Cosine Similarity: 0.3960 |
| Structural Similarity: 0.0166 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0588 |
| Readability: 0.4759 |
| Weighted Score: 0.3097 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0048 |
| ROUGE-1: 0.1725 |
| ROUGE-2: 0.0603 |
| ROUGE-L: 0.1725 |
| Cosine Similarity: 0.3594 |
| Structural Similarity: 0.4250 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0609 |
| Readability: 0.4657 |
| Weighted Score: 0.3978 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0034 |
| ROUGE-1: 0.2213 |
| ROUGE-2: 0.0657 |
| ROUGE-L: 0.2118 |
| Cosine Similarity: 0.7276 |
| Structural Similarity: 0.0519 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0833 |
| Readability: 0.4004 |
| Weighted Score: 0.3917 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0038 |
| ROUGE-1: 0.2068 |
| ROUGE-2: 0.0410 |
| ROUGE-L: 0.2068 |
| Cosine Similarity: 0.4204 |
| Structural Similarity: 0.3214 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0424 |
| Readability: 0.2738 |
| Weighted Score: 0.2730 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0011 |
| ROUGE-1: 0.1858 |
| ROUGE-2: 0.0400 |
| ROUGE-L: 0.1829 |
| Cosine Similarity: 0.4178 |
| Structural Similarity: 0.3077 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0265 |
| Readability: 0.5144 |
| Weighted Score: 0.3145 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0091 |
| ROUGE-1: 0.0459 |
| ROUGE-2: 0.0080 |
| ROUGE-L: 0.0418 |
| Cosine Similarity: 0.0337 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0148 |
| Readability: 0.5084 |
| Weighted Score: 0.2821 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1133 |
| ROUGE-2: 0.0346 |
| ROUGE-L: 0.1106 |
| Cosine Similarity: 0.6954 |
| Structural Similarity: 0.0625 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0191 |
| Readability: 0.5205 |
| Weighted Score: 0.3524 |
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| Repository: flux |
| Scores: |
| BLEU: 0.0345 |
| ROUGE-1: 0.2773 |
| ROUGE-2: 0.0837 |
| ROUGE-L: 0.2675 |
| Cosine Similarity: 0.5085 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0606 |
| Readability: 0.3574 |
| Weighted Score: 0.3039 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.0349 |
| ROUGE-1: 0.2725 |
| ROUGE-2: 0.0661 |
| ROUGE-L: 0.2551 |
| Cosine Similarity: 0.3301 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1250 |
| Readability: 0.4085 |
| Weighted Score: 0.3330 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0528 |
| ROUGE-2: 0.0106 |
| ROUGE-L: 0.0509 |
| Cosine Similarity: 0.4884 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0403 |
| Readability: 0.6471 |
| Weighted Score: 0.3927 |
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