| Evaluation Results for model: gemini-1.5-flash-8b-exp-0827 |
| Timestamp: 20240912_134026 |
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| Average Scores: |
| bleu: 0.0136 |
| rouge-1: 0.1466 |
| rouge-2: 0.0331 |
| rouge-l: 0.1414 |
| cosine_similarity: 0.3831 |
| structural_similarity: 0.2300 |
| information_retrieval: 0.7000 |
| code_consistency: 0.0743 |
| readability: 0.4647 |
| weighted_score: 0.3212 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0096 |
| ROUGE-1: 0.2147 |
| ROUGE-2: 0.0638 |
| ROUGE-L: 0.1994 |
| Cosine Similarity: 0.3788 |
| Structural Similarity: 0.1579 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0160 |
| Readability: 0.3953 |
| Weighted Score: 0.2729 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0290 |
| ROUGE-1: 0.2016 |
| ROUGE-2: 0.0554 |
| ROUGE-L: 0.1962 |
| Cosine Similarity: 0.3886 |
| Structural Similarity: 0.2667 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0887 |
| Readability: 0.5175 |
| Weighted Score: 0.3248 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0620 |
| ROUGE-2: 0.0066 |
| ROUGE-L: 0.0620 |
| Cosine Similarity: 0.2969 |
| Structural Similarity: 0.1250 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0515 |
| Readability: 0.5114 |
| Weighted Score: 0.2792 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0031 |
| ROUGE-1: 0.1273 |
| ROUGE-2: 0.0432 |
| ROUGE-L: 0.1182 |
| Cosine Similarity: 0.2315 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0278 |
| Readability: 0.6684 |
| Weighted Score: 0.3098 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0837 |
| ROUGE-2: 0.0171 |
| ROUGE-L: 0.0815 |
| Cosine Similarity: 0.1343 |
| Structural Similarity: 0.1538 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1481 |
| Readability: 0.4238 |
| Weighted Score: 0.2693 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0087 |
| ROUGE-1: 0.1833 |
| ROUGE-2: 0.0399 |
| ROUGE-L: 0.1726 |
| Cosine Similarity: 0.4314 |
| Structural Similarity: 0.1429 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0260 |
| Readability: 0.4319 |
| Weighted Score: 0.2831 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0007 |
| ROUGE-1: 0.1471 |
| ROUGE-2: 0.0351 |
| ROUGE-L: 0.1394 |
| Cosine Similarity: 0.4902 |
| Structural Similarity: 0.1207 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0108 |
| Readability: 0.5869 |
| Weighted Score: 0.3114 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.0487 |
| ROUGE-1: 0.3139 |
| ROUGE-2: 0.1147 |
| ROUGE-L: 0.3004 |
| Cosine Similarity: 0.5597 |
| Structural Similarity: 0.5625 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0160 |
| Readability: 0.5818 |
| Weighted Score: 0.3810 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0301 |
| ROUGE-1: 0.2611 |
| ROUGE-2: 0.0810 |
| ROUGE-L: 0.2463 |
| Cosine Similarity: 0.6796 |
| Structural Similarity: 0.2647 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0625 |
| Readability: 0.4481 |
| Weighted Score: 0.3792 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0007 |
| ROUGE-1: 0.1649 |
| ROUGE-2: 0.0286 |
| ROUGE-L: 0.1545 |
| Cosine Similarity: 0.4776 |
| Structural Similarity: 0.1458 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0346 |
| Readability: 0.4166 |
| Weighted Score: 0.2843 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0212 |
| ROUGE-1: 0.2371 |
| ROUGE-2: 0.0425 |
| ROUGE-L: 0.2337 |
| Cosine Similarity: 0.6118 |
| Structural Similarity: 0.3636 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4349 |
| Weighted Score: 0.3238 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0214 |
| ROUGE-1: 0.2226 |
| ROUGE-2: 0.0433 |
| ROUGE-L: 0.2157 |
| Cosine Similarity: 0.4057 |
| Structural Similarity: 0.3889 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0564 |
| Readability: 0.3923 |
| Weighted Score: 0.3075 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0353 |
| ROUGE-1: 0.2065 |
| ROUGE-2: 0.0440 |
| ROUGE-L: 0.2065 |
| Cosine Similarity: 0.5395 |
| Structural Similarity: 0.5714 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0550 |
| Readability: 0.4982 |
| Weighted Score: 0.4006 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0019 |
| ROUGE-1: 0.0559 |
| ROUGE-2: 0.0073 |
| ROUGE-L: 0.0532 |
| Cosine Similarity: 0.0840 |
| Structural Similarity: 0.3077 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0476 |
| Readability: 0.4278 |
| Weighted Score: 0.3383 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0081 |
| ROUGE-1: 0.1665 |
| ROUGE-2: 0.0462 |
| ROUGE-L: 0.1630 |
| Cosine Similarity: 0.4457 |
| Structural Similarity: 0.1905 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0502 |
| Readability: 0.4860 |
| Weighted Score: 0.3442 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.0618 |
| ROUGE-1: 0.2684 |
| ROUGE-2: 0.0646 |
| ROUGE-L: 0.2633 |
| Cosine Similarity: 0.5575 |
| Structural Similarity: 0.7143 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0329 |
| Readability: 0.4779 |
| Weighted Score: 0.3755 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0016 |
| ROUGE-1: 0.1955 |
| ROUGE-2: 0.0567 |
| ROUGE-L: 0.1897 |
| Cosine Similarity: 0.5215 |
| Structural Similarity: 0.1860 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0909 |
| Readability: 0.4840 |
| Weighted Score: 0.3607 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0484 |
| ROUGE-2: 0.0061 |
| ROUGE-L: 0.0479 |
| Cosine Similarity: 0.4059 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0323 |
| Readability: 0.5368 |
| Weighted Score: 0.2804 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0018 |
| ROUGE-1: 0.0558 |
| ROUGE-2: 0.0000 |
| ROUGE-L: 0.0558 |
| Cosine Similarity: 0.1602 |
| Structural Similarity: 0.2000 |
| Information Retrieval: 1.0000 |
| Code Consistency: 1.0000 |
| Readability: 0.5930 |
| Weighted Score: 0.5585 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1166 |
| ROUGE-2: 0.0215 |
| ROUGE-L: 0.1135 |
| Cosine Similarity: 0.6143 |
| Structural Similarity: 0.0857 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.5033 |
| Weighted Score: 0.3391 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0363 |
| ROUGE-2: 0.0018 |
| ROUGE-L: 0.0363 |
| Cosine Similarity: 0.0787 |
| Structural Similarity: 0.0636 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0395 |
| Readability: 0.4576 |
| Weighted Score: 0.2761 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0053 |
| ROUGE-1: 0.1653 |
| ROUGE-2: 0.0339 |
| ROUGE-L: 0.1627 |
| Cosine Similarity: 0.3698 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1121 |
| Readability: 0.6674 |
| Weighted Score: 0.3830 |
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| Repository: flask |
| Scores: |
| BLEU: 0.1057 |
| ROUGE-1: 0.2877 |
| ROUGE-2: 0.0767 |
| ROUGE-L: 0.2808 |
| Cosine Similarity: 0.5571 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0651 |
| Readability: 0.5787 |
| Weighted Score: 0.4452 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0204 |
| ROUGE-2: 0.0027 |
| ROUGE-L: 0.0204 |
| Cosine Similarity: 0.3604 |
| Structural Similarity: 0.0263 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.3534 |
| Weighted Score: 0.2308 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0031 |
| ROUGE-1: 0.1857 |
| ROUGE-2: 0.0246 |
| ROUGE-L: 0.1772 |
| Cosine Similarity: 0.2031 |
| Structural Similarity: 0.4286 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0178 |
| Readability: 0.4556 |
| Weighted Score: 0.2911 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0529 |
| ROUGE-1: 0.2329 |
| ROUGE-2: 0.0538 |
| ROUGE-L: 0.2237 |
| Cosine Similarity: 0.5867 |
| Structural Similarity: 0.1429 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0964 |
| Readability: 0.1679 |
| Weighted Score: 0.2682 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0728 |
| ROUGE-2: 0.0127 |
| ROUGE-L: 0.0719 |
| Cosine Similarity: 0.5591 |
| Structural Similarity: 0.0301 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0137 |
| Readability: 0.2200 |
| Weighted Score: 0.2709 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0228 |
| ROUGE-2: 0.0028 |
| ROUGE-L: 0.0225 |
| Cosine Similarity: 0.1375 |
| Structural Similarity: 0.0714 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0476 |
| Readability: 0.4931 |
| Weighted Score: 0.2906 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0017 |
| ROUGE-1: 0.1156 |
| ROUGE-2: 0.0186 |
| ROUGE-L: 0.1111 |
| Cosine Similarity: 0.1834 |
| Structural Similarity: 0.0700 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0214 |
| Readability: 0.4146 |
| Weighted Score: 0.2409 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0135 |
| ROUGE-1: 0.1575 |
| ROUGE-2: 0.0173 |
| ROUGE-L: 0.1541 |
| Cosine Similarity: 0.3056 |
| Structural Similarity: 0.3182 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1333 |
| Readability: 0.5266 |
| Weighted Score: 0.3267 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0290 |
| ROUGE-2: 0.0028 |
| ROUGE-L: 0.0284 |
| Cosine Similarity: 0.2987 |
| Structural Similarity: 0.0190 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0588 |
| Readability: 0.5144 |
| Weighted Score: 0.2684 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0028 |
| ROUGE-1: 0.1750 |
| ROUGE-2: 0.0419 |
| ROUGE-L: 0.1587 |
| Cosine Similarity: 0.2761 |
| Structural Similarity: 0.3000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0696 |
| Readability: 0.4870 |
| Weighted Score: 0.3418 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0339 |
| ROUGE-2: 0.0047 |
| ROUGE-L: 0.0335 |
| Cosine Similarity: 0.3617 |
| Structural Similarity: 0.0519 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0833 |
| Readability: 0.4298 |
| Weighted Score: 0.3064 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0378 |
| ROUGE-1: 0.2278 |
| ROUGE-2: 0.0420 |
| ROUGE-L: 0.2178 |
| Cosine Similarity: 0.4205 |
| Structural Similarity: 0.3929 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0551 |
| Readability: 0.3432 |
| Weighted Score: 0.3011 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0032 |
| ROUGE-1: 0.1608 |
| ROUGE-2: 0.0397 |
| ROUGE-L: 0.1526 |
| Cosine Similarity: 0.3709 |
| Structural Similarity: 0.3462 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0265 |
| Readability: 0.4962 |
| Weighted Score: 0.3084 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0008 |
| ROUGE-1: 0.0369 |
| ROUGE-2: 0.0070 |
| ROUGE-L: 0.0369 |
| Cosine Similarity: 0.0147 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0148 |
| Readability: 0.5970 |
| Weighted Score: 0.3366 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1186 |
| ROUGE-2: 0.0381 |
| ROUGE-L: 0.1178 |
| Cosine Similarity: 0.7273 |
| Structural Similarity: 0.0547 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0382 |
| Readability: 0.4992 |
| Weighted Score: 0.3949 |
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| Repository: flux |
| Scores: |
| BLEU: 0.0110 |
| ROUGE-1: 0.2328 |
| ROUGE-2: 0.0588 |
| ROUGE-L: 0.2187 |
| Cosine Similarity: 0.4791 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0758 |
| Readability: 0.3331 |
| Weighted Score: 0.2928 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.0224 |
| ROUGE-1: 0.1878 |
| ROUGE-2: 0.0228 |
| ROUGE-L: 0.1878 |
| Cosine Similarity: 0.3256 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1250 |
| Readability: 0.4116 |
| Weighted Score: 0.3255 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0318 |
| ROUGE-2: 0.0035 |
| ROUGE-L: 0.0318 |
| Cosine Similarity: 0.2909 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0323 |
| Readability: 0.3249 |
| Weighted Score: 0.2254 |
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