| Evaluation Results for model: gpt-4o-mini-2024-07-18 | |
| Timestamp: 20240912_161045 | |
| 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 | |
| Detailed Results: | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |