| Evaluation Results for model: gpt-4o-mini-2024-07-18 |
| Timestamp: 20240912_161045 |
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| Average Scores: |
| bleu: 0.0164 |
| rouge-1: 0.1546 |
| rouge-2: 0.0385 |
| rouge-l: 0.1484 |
| cosine_similarity: 0.4057 |
| structural_similarity: 0.2381 |
| information_retrieval: 0.7250 |
| code_consistency: 0.0477 |
| readability: 0.4481 |
| weighted_score: 0.3216 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0023 |
| ROUGE-1: 0.2009 |
| ROUGE-2: 0.0435 |
| ROUGE-L: 0.1821 |
| Cosine Similarity: 0.3899 |
| Structural Similarity: 0.1447 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0160 |
| Readability: 0.4309 |
| Weighted Score: 0.2773 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0057 |
| ROUGE-1: 0.1891 |
| ROUGE-2: 0.0336 |
| ROUGE-L: 0.1798 |
| Cosine Similarity: 0.4563 |
| Structural Similarity: 0.2667 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0640 |
| Readability: 0.3452 |
| Weighted Score: 0.2882 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0003 |
| ROUGE-1: 0.0812 |
| ROUGE-2: 0.0149 |
| ROUGE-L: 0.0794 |
| Cosine Similarity: 0.2606 |
| Structural Similarity: 0.1964 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0515 |
| Readability: 0.4207 |
| Weighted Score: 0.3061 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0155 |
| ROUGE-1: 0.1396 |
| ROUGE-2: 0.0349 |
| ROUGE-L: 0.1358 |
| Cosine Similarity: 0.1868 |
| Structural Similarity: 0.2250 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0833 |
| Readability: 0.5276 |
| Weighted Score: 0.3353 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0780 |
| ROUGE-2: 0.0140 |
| ROUGE-L: 0.0758 |
| Cosine Similarity: 0.0755 |
| Structural Similarity: 0.1538 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1667 |
| Readability: 0.4339 |
| Weighted Score: 0.2687 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0065 |
| ROUGE-1: 0.1760 |
| ROUGE-2: 0.0383 |
| ROUGE-L: 0.1707 |
| Cosine Similarity: 0.4540 |
| Structural Similarity: 0.1250 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0260 |
| Readability: 0.4288 |
| Weighted Score: 0.3224 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0004 |
| ROUGE-1: 0.1753 |
| ROUGE-2: 0.0419 |
| ROUGE-L: 0.1678 |
| Cosine Similarity: 0.5976 |
| Structural Similarity: 0.1207 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0215 |
| Readability: 0.5256 |
| Weighted Score: 0.3142 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.0316 |
| ROUGE-1: 0.3084 |
| ROUGE-2: 0.1113 |
| ROUGE-L: 0.2993 |
| Cosine Similarity: 0.6084 |
| Structural Similarity: 0.5625 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0174 |
| Readability: 0.5114 |
| Weighted Score: 0.3700 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0119 |
| ROUGE-1: 0.2419 |
| ROUGE-2: 0.0883 |
| ROUGE-L: 0.2341 |
| Cosine Similarity: 0.6007 |
| Structural Similarity: 0.2059 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0337 |
| Readability: 0.3473 |
| Weighted Score: 0.3369 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0003 |
| ROUGE-1: 0.1550 |
| ROUGE-2: 0.0263 |
| ROUGE-L: 0.1487 |
| Cosine Similarity: 0.4705 |
| Structural Similarity: 0.1458 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0346 |
| Readability: 0.4982 |
| Weighted Score: 0.2993 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0164 |
| ROUGE-1: 0.2263 |
| ROUGE-2: 0.0455 |
| ROUGE-L: 0.2263 |
| Cosine Similarity: 0.5762 |
| Structural Similarity: 0.3636 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4045 |
| Weighted Score: 0.3132 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0210 |
| ROUGE-1: 0.2080 |
| ROUGE-2: 0.0362 |
| ROUGE-L: 0.1971 |
| Cosine Similarity: 0.4245 |
| Structural Similarity: 0.3889 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0263 |
| Readability: 0.4380 |
| Weighted Score: 0.3111 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0387 |
| ROUGE-1: 0.2261 |
| ROUGE-2: 0.0533 |
| ROUGE-L: 0.2120 |
| Cosine Similarity: 0.6090 |
| Structural Similarity: 0.4000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0550 |
| Readability: 0.4197 |
| Weighted Score: 0.3361 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0009 |
| ROUGE-1: 0.0726 |
| ROUGE-2: 0.0195 |
| ROUGE-L: 0.0726 |
| Cosine Similarity: 0.0901 |
| Structural Similarity: 0.2692 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0136 |
| Readability: 0.4278 |
| Weighted Score: 0.2498 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0001 |
| ROUGE-1: 0.1560 |
| ROUGE-2: 0.0443 |
| ROUGE-L: 0.1522 |
| Cosine Similarity: 0.5102 |
| Structural Similarity: 0.1905 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0457 |
| Readability: 0.4309 |
| Weighted Score: 0.3372 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.0617 |
| ROUGE-1: 0.2782 |
| ROUGE-2: 0.0935 |
| ROUGE-L: 0.2686 |
| Cosine Similarity: 0.4919 |
| Structural Similarity: 0.7143 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0384 |
| Readability: 0.5787 |
| Weighted Score: 0.3916 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0002 |
| ROUGE-1: 0.1834 |
| ROUGE-2: 0.0596 |
| ROUGE-L: 0.1815 |
| Cosine Similarity: 0.5534 |
| Structural Similarity: 0.1860 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0909 |
| Readability: 0.4901 |
| Weighted Score: 0.4044 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0556 |
| ROUGE-2: 0.0073 |
| ROUGE-L: 0.0546 |
| Cosine Similarity: 0.4725 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0484 |
| Readability: 0.3730 |
| Weighted Score: 0.2981 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0026 |
| ROUGE-1: 0.0679 |
| ROUGE-2: 0.0000 |
| ROUGE-L: 0.0588 |
| Cosine Similarity: 0.1274 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0000 |
| Readability: 0.5226 |
| Weighted Score: 0.3393 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1326 |
| ROUGE-2: 0.0298 |
| ROUGE-L: 0.1221 |
| Cosine Similarity: 0.6629 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0769 |
| Readability: 0.4099 |
| Weighted Score: 0.3432 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0649 |
| ROUGE-2: 0.0159 |
| ROUGE-L: 0.0649 |
| Cosine Similarity: 0.1500 |
| Structural Similarity: 0.0636 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0197 |
| Readability: 0.3381 |
| Weighted Score: 0.2578 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0090 |
| ROUGE-1: 0.2165 |
| ROUGE-2: 0.0602 |
| ROUGE-L: 0.1985 |
| Cosine Similarity: 0.5311 |
| Structural Similarity: 0.2000 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.1121 |
| Readability: 0.5869 |
| Weighted Score: 0.4297 |
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| Repository: flask |
| Scores: |
| BLEU: 0.2040 |
| ROUGE-1: 0.3509 |
| ROUGE-2: 0.1675 |
| ROUGE-L: 0.3439 |
| Cosine Similarity: 0.5052 |
| Structural Similarity: 0.3571 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0621 |
| Readability: 0.5645 |
| Weighted Score: 0.3808 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0274 |
| ROUGE-2: 0.0038 |
| ROUGE-L: 0.0268 |
| Cosine Similarity: 0.4221 |
| Structural Similarity: 0.0263 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.5114 |
| Weighted Score: 0.2691 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0211 |
| ROUGE-1: 0.1752 |
| ROUGE-2: 0.0286 |
| ROUGE-L: 0.1715 |
| Cosine Similarity: 0.4302 |
| Structural Similarity: 0.4286 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0178 |
| Readability: 0.3412 |
| Weighted Score: 0.3323 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0798 |
| ROUGE-1: 0.2711 |
| ROUGE-2: 0.0714 |
| ROUGE-L: 0.2558 |
| Cosine Similarity: 0.4896 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0361 |
| Readability: 0.3483 |
| Weighted Score: 0.3024 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0788 |
| ROUGE-2: 0.0122 |
| ROUGE-L: 0.0753 |
| Cosine Similarity: 0.4550 |
| Structural Similarity: 0.0338 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.2667 |
| Weighted Score: 0.2678 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0214 |
| ROUGE-2: 0.0023 |
| ROUGE-L: 0.0212 |
| Cosine Similarity: 0.1530 |
| Structural Similarity: 0.0714 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0476 |
| Readability: 0.4441 |
| Weighted Score: 0.2823 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0116 |
| ROUGE-1: 0.1305 |
| ROUGE-2: 0.0396 |
| ROUGE-L: 0.1217 |
| Cosine Similarity: 0.1481 |
| Structural Similarity: 0.2000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0695 |
| Readability: 0.3422 |
| Weighted Score: 0.2481 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0195 |
| ROUGE-1: 0.1911 |
| ROUGE-2: 0.0279 |
| ROUGE-L: 0.1845 |
| Cosine Similarity: 0.4209 |
| Structural Similarity: 0.3636 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0667 |
| Readability: 0.5889 |
| Weighted Score: 0.3450 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0343 |
| ROUGE-2: 0.0034 |
| ROUGE-L: 0.0326 |
| Cosine Similarity: 0.3549 |
| Structural Similarity: 0.0166 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1176 |
| Readability: 0.5716 |
| Weighted Score: 0.3373 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0002 |
| ROUGE-1: 0.1614 |
| ROUGE-2: 0.0388 |
| ROUGE-L: 0.1590 |
| Cosine Similarity: 0.3309 |
| Structural Similarity: 0.3000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0783 |
| Readability: 0.4799 |
| Weighted Score: 0.3468 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0405 |
| ROUGE-2: 0.0044 |
| ROUGE-L: 0.0391 |
| Cosine Similarity: 0.3747 |
| Structural Similarity: 0.0455 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0417 |
| Readability: 0.5063 |
| Weighted Score: 0.3144 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0200 |
| ROUGE-1: 0.2378 |
| ROUGE-2: 0.0547 |
| ROUGE-L: 0.2350 |
| Cosine Similarity: 0.5061 |
| Structural Similarity: 0.3571 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0381 |
| Readability: 0.4187 |
| Weighted Score: 0.3173 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0023 |
| ROUGE-1: 0.1559 |
| ROUGE-2: 0.0276 |
| ROUGE-L: 0.1505 |
| Cosine Similarity: 0.2967 |
| Structural Similarity: 0.4231 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0243 |
| Readability: 0.4390 |
| Weighted Score: 0.2961 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0025 |
| ROUGE-1: 0.0463 |
| ROUGE-2: 0.0086 |
| ROUGE-L: 0.0463 |
| Cosine Similarity: 0.0330 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0246 |
| Readability: 0.5879 |
| Weighted Score: 0.3794 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1095 |
| ROUGE-2: 0.0275 |
| ROUGE-L: 0.1060 |
| Cosine Similarity: 0.6489 |
| Structural Similarity: 0.0547 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0382 |
| Readability: 0.4461 |
| Weighted Score: 0.3353 |
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| Repository: flux |
| Scores: |
| BLEU: 0.0220 |
| ROUGE-1: 0.2417 |
| ROUGE-2: 0.0628 |
| ROUGE-L: 0.2351 |
| Cosine Similarity: 0.5112 |
| Structural Similarity: 0.3125 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0909 |
| Readability: 0.3300 |
| Weighted Score: 0.3068 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.0480 |
| ROUGE-1: 0.2141 |
| ROUGE-2: 0.0387 |
| ROUGE-L: 0.1880 |
| Cosine Similarity: 0.3157 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.4349 |
| Weighted Score: 0.3081 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0619 |
| ROUGE-2: 0.0091 |
| ROUGE-L: 0.0596 |
| Cosine Similarity: 0.5326 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.1129 |
| Readability: 0.4116 |
| Weighted Score: 0.3651 |
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