| Evaluation Results for model: gemini-1.5-pro-exp-0827 |
| Timestamp: 20240912_141225 |
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| Average Scores: |
| bleu: 0.0255 |
| rouge-1: 0.1527 |
| rouge-2: 0.0497 |
| rouge-l: 0.1486 |
| cosine_similarity: 0.4109 |
| structural_similarity: 0.2394 |
| information_retrieval: 0.7282 |
| code_consistency: 0.0673 |
| readability: 0.4334 |
| weighted_score: 0.3251 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0402 |
| ROUGE-1: 0.2322 |
| ROUGE-2: 0.0833 |
| ROUGE-L: 0.2210 |
| Cosine Similarity: 0.3322 |
| Structural Similarity: 0.1974 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0192 |
| Readability: 0.2532 |
| Weighted Score: 0.2894 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0531 |
| ROUGE-1: 0.2120 |
| ROUGE-2: 0.0776 |
| ROUGE-L: 0.2068 |
| Cosine Similarity: 0.4676 |
| Structural Similarity: 0.3333 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0788 |
| Readability: 0.5175 |
| Weighted Score: 0.3813 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0553 |
| ROUGE-2: 0.0147 |
| ROUGE-L: 0.0553 |
| Cosine Similarity: 0.1974 |
| Structural Similarity: 0.1786 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0515 |
| Readability: 0.4501 |
| Weighted Score: 0.3021 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0122 |
| ROUGE-1: 0.1238 |
| ROUGE-2: 0.0302 |
| ROUGE-L: 0.1238 |
| Cosine Similarity: 0.2549 |
| Structural Similarity: 0.2250 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1667 |
| Readability: 0.5469 |
| Weighted Score: 0.3612 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0736 |
| ROUGE-2: 0.0198 |
| ROUGE-L: 0.0736 |
| Cosine Similarity: 0.0800 |
| Structural Similarity: 0.1538 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1852 |
| Readability: 0.4380 |
| Weighted Score: 0.2736 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0103 |
| ROUGE-1: 0.1890 |
| ROUGE-2: 0.0448 |
| ROUGE-L: 0.1836 |
| Cosine Similarity: 0.5116 |
| Structural Similarity: 0.1250 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0519 |
| Readability: 0.3534 |
| Weighted Score: 0.3197 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0393 |
| ROUGE-1: 0.2589 |
| ROUGE-2: 0.1162 |
| ROUGE-L: 0.2470 |
| Cosine Similarity: 0.5811 |
| Structural Similarity: 0.1379 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0108 |
| Readability: 0.3892 |
| Weighted Score: 0.2966 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.0366 |
| ROUGE-1: 0.3501 |
| ROUGE-2: 0.1350 |
| ROUGE-L: 0.3453 |
| Cosine Similarity: 0.6680 |
| Structural Similarity: 0.5625 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0218 |
| Readability: 0.7060 |
| Weighted Score: 0.5000 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0098 |
| ROUGE-1: 0.2585 |
| ROUGE-2: 0.1066 |
| ROUGE-L: 0.2449 |
| Cosine Similarity: 0.6459 |
| Structural Similarity: 0.2647 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0481 |
| Readability: 0.3544 |
| Weighted Score: 0.3529 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0024 |
| ROUGE-1: 0.1593 |
| ROUGE-2: 0.0259 |
| ROUGE-L: 0.1554 |
| Cosine Similarity: 0.4810 |
| Structural Similarity: 0.1875 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0600 |
| Readability: 0.4075 |
| Weighted Score: 0.2920 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0316 |
| ROUGE-1: 0.2478 |
| ROUGE-2: 0.0579 |
| ROUGE-L: 0.2443 |
| Cosine Similarity: 0.6090 |
| Structural Similarity: 0.5455 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4390 |
| Weighted Score: 0.3448 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0787 |
| ROUGE-1: 0.2448 |
| ROUGE-2: 0.0618 |
| ROUGE-L: 0.2414 |
| Cosine Similarity: 0.4106 |
| Structural Similarity: 0.3750 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0414 |
| Readability: 0.4441 |
| Weighted Score: 0.3218 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0071 |
| ROUGE-1: 0.1834 |
| ROUGE-2: 0.0223 |
| ROUGE-L: 0.1791 |
| Cosine Similarity: 0.3570 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0367 |
| Readability: 0.4891 |
| Weighted Score: 0.3244 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0002 |
| ROUGE-1: 0.0579 |
| ROUGE-2: 0.0082 |
| ROUGE-L: 0.0579 |
| Cosine Similarity: 0.1466 |
| Structural Similarity: 0.2692 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0340 |
| Readability: 0.4288 |
| Weighted Score: 0.3383 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0010 |
| ROUGE-1: 0.1813 |
| ROUGE-2: 0.0637 |
| ROUGE-L: 0.1758 |
| Cosine Similarity: 0.5569 |
| Structural Similarity: 0.2143 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0502 |
| Readability: 0.4339 |
| Weighted Score: 0.3481 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.1111 |
| ROUGE-1: 0.2553 |
| ROUGE-2: 0.1221 |
| ROUGE-L: 0.2553 |
| Cosine Similarity: 0.5200 |
| Structural Similarity: 0.7143 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0301 |
| Readability: 0.4116 |
| Weighted Score: 0.4040 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0003 |
| ROUGE-1: 0.2063 |
| ROUGE-2: 0.0941 |
| ROUGE-L: 0.1925 |
| Cosine Similarity: 0.5608 |
| Structural Similarity: 0.1860 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1364 |
| Readability: 0.4698 |
| Weighted Score: 0.3324 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0540 |
| ROUGE-2: 0.0098 |
| ROUGE-L: 0.0525 |
| Cosine Similarity: 0.4289 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0806 |
| Readability: 0.4248 |
| Weighted Score: 0.3105 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0078 |
| ROUGE-1: 0.0685 |
| ROUGE-2: 0.0034 |
| ROUGE-L: 0.0685 |
| Cosine Similarity: 0.1779 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 1.0000 |
| Code Consistency: 1.0000 |
| Readability: 0.5347 |
| Weighted Score: 0.5477 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0973 |
| ROUGE-2: 0.0159 |
| ROUGE-L: 0.0941 |
| Cosine Similarity: 0.5063 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.4532 |
| Weighted Score: 0.3182 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0891 |
| ROUGE-2: 0.0284 |
| ROUGE-L: 0.0891 |
| Cosine Similarity: 0.2209 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0592 |
| Readability: 0.2789 |
| Weighted Score: 0.2666 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.1170 |
| ROUGE-2: 0.0106 |
| ROUGE-L: 0.1111 |
| Cosine Similarity: 0.3127 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0517 |
| Readability: 0.6336 |
| Weighted Score: 0.3538 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0178 |
| ROUGE-2: 0.0026 |
| ROUGE-L: 0.0169 |
| Cosine Similarity: 0.4101 |
| Structural Similarity: 0.0263 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4491 |
| Weighted Score: 0.2547 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0024 |
| ROUGE-1: 0.1435 |
| ROUGE-2: 0.0173 |
| ROUGE-L: 0.1435 |
| Cosine Similarity: 0.1977 |
| Structural Similarity: 0.4286 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0059 |
| Readability: 0.3645 |
| Weighted Score: 0.2671 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0895 |
| ROUGE-1: 0.2784 |
| ROUGE-2: 0.0724 |
| ROUGE-L: 0.2614 |
| Cosine Similarity: 0.6165 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0482 |
| Readability: 0.4197 |
| Weighted Score: 0.3732 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0775 |
| ROUGE-2: 0.0131 |
| ROUGE-L: 0.0713 |
| Cosine Similarity: 0.3943 |
| Structural Similarity: 0.0301 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0137 |
| Readability: 0.2363 |
| Weighted Score: 0.2579 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0197 |
| ROUGE-2: 0.0038 |
| ROUGE-L: 0.0197 |
| Cosine Similarity: 0.2023 |
| Structural Similarity: 0.0714 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.4789 |
| Weighted Score: 0.2846 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0920 |
| ROUGE-2: 0.0190 |
| ROUGE-L: 0.0867 |
| Cosine Similarity: 0.2541 |
| Structural Similarity: 0.0700 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0160 |
| Readability: 0.2667 |
| Weighted Score: 0.2156 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0110 |
| ROUGE-1: 0.1651 |
| ROUGE-2: 0.0214 |
| ROUGE-L: 0.1576 |
| Cosine Similarity: 0.4769 |
| Structural Similarity: 0.3182 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.5398 |
| Weighted Score: 0.3201 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0185 |
| ROUGE-2: 0.0021 |
| ROUGE-L: 0.0178 |
| Cosine Similarity: 0.3837 |
| Structural Similarity: 0.0166 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.5818 |
| Weighted Score: 0.3177 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0614 |
| ROUGE-2: 0.0205 |
| ROUGE-L: 0.0585 |
| Cosine Similarity: 0.2831 |
| Structural Similarity: 0.2000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0087 |
| Readability: 0.2089 |
| Weighted Score: 0.2165 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0334 |
| ROUGE-2: 0.0059 |
| ROUGE-L: 0.0323 |
| Cosine Similarity: 0.3660 |
| Structural Similarity: 0.0519 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0417 |
| Readability: 0.5002 |
| Weighted Score: 0.2726 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0008 |
| ROUGE-1: 0.1523 |
| ROUGE-2: 0.0268 |
| ROUGE-L: 0.1490 |
| Cosine Similarity: 0.3852 |
| Structural Similarity: 0.3214 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0212 |
| Readability: 0.1923 |
| Weighted Score: 0.2444 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0013 |
| ROUGE-1: 0.1623 |
| ROUGE-2: 0.0355 |
| ROUGE-L: 0.1623 |
| Cosine Similarity: 0.5084 |
| Structural Similarity: 0.3077 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0199 |
| Readability: 0.5276 |
| Weighted Score: 0.3233 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0011 |
| ROUGE-1: 0.0534 |
| ROUGE-2: 0.0065 |
| ROUGE-L: 0.0534 |
| Cosine Similarity: 0.0528 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0197 |
| Readability: 0.5287 |
| Weighted Score: 0.2889 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1091 |
| ROUGE-2: 0.0372 |
| ROUGE-L: 0.1064 |
| Cosine Similarity: 0.7106 |
| Structural Similarity: 0.0625 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0446 |
| Readability: 0.4400 |
| Weighted Score: 0.3427 |
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| Repository: flux |
| Scores: |
| BLEU: 0.0368 |
| ROUGE-1: 0.2656 |
| ROUGE-2: 0.0802 |
| ROUGE-L: 0.2525 |
| Cosine Similarity: 0.5867 |
| Structural Similarity: 0.3750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0909 |
| Readability: 0.4952 |
| Weighted Score: 0.3971 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.4108 |
| ROUGE-1: 0.5405 |
| ROUGE-2: 0.4121 |
| ROUGE-L: 0.5405 |
| Cosine Similarity: 0.6189 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4309 |
| Weighted Score: 0.4090 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0497 |
| ROUGE-2: 0.0090 |
| ROUGE-L: 0.0478 |
| Cosine Similarity: 0.5507 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0806 |
| Readability: 0.3852 |
| Weighted Score: 0.3144 |
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