| Evaluation Results for model: gemini-1.5-flash-exp-0827 | |
| Timestamp: 20240912_203632 | |
| Average Scores: | |
| bleu: 0.1543 | |
| rouge-1: 0.2852 | |
| rouge-2: 0.1718 | |
| rouge-l: 0.2807 | |
| cosine_similarity: 0.5625 | |
| structural_similarity: 0.3355 | |
| information_retrieval: 0.6350 | |
| code_consistency: 0.1240 | |
| readability: 0.2415 | |
| weighted_score: 0.3300 | |
| Detailed Results: | |
| Repository: labelme | |
| Scores: | |
| BLEU: 0.0874 | |
| ROUGE-1: 0.2168 | |
| ROUGE-2: 0.0483 | |
| ROUGE-L: 0.2101 | |
| Cosine Similarity: 0.5599 | |
| Structural Similarity: 0.2237 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0383 | |
| Readability: 0.3595 | |
| Weighted Score: 0.3825 | |
| Repository: gpt-engineer | |
| Scores: | |
| BLEU: 0.9187 | |
| ROUGE-1: 0.9430 | |
| ROUGE-2: 0.8978 | |
| ROUGE-L: 0.9430 | |
| Cosine Similarity: 0.9646 | |
| Structural Similarity: 0.7000 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0887 | |
| Readability: 0.2464 | |
| Weighted Score: 0.5781 | |
| Repository: ChatGLM-6B | |
| Scores: | |
| BLEU: 0.3815 | |
| ROUGE-1: 0.4699 | |
| ROUGE-2: 0.3005 | |
| ROUGE-L: 0.4699 | |
| Cosine Similarity: 0.5950 | |
| Structural Similarity: 0.5357 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1031 | |
| Readability: 0.2383 | |
| Weighted Score: 0.4609 | |
| Repository: SMSBoom | |
| Scores: | |
| BLEU: 0.0273 | |
| ROUGE-1: 0.1271 | |
| ROUGE-2: 0.0361 | |
| ROUGE-L: 0.1229 | |
| Cosine Similarity: 0.3553 | |
| Structural Similarity: 0.4000 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1667 | |
| Readability: 0.2339 | |
| Weighted Score: 0.2479 | |
| Repository: mackup | |
| Scores: | |
| BLEU: 0.0311 | |
| ROUGE-1: 0.1085 | |
| ROUGE-2: 0.0385 | |
| ROUGE-L: 0.1036 | |
| Cosine Similarity: 0.1363 | |
| Structural Similarity: 0.1750 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.6296 | |
| Readability: 0.3625 | |
| Weighted Score: 0.4010 | |
| Repository: TaskMatrix | |
| Scores: | |
| BLEU: 0.7818 | |
| ROUGE-1: 0.8228 | |
| ROUGE-2: 0.7552 | |
| ROUGE-L: 0.8130 | |
| Cosine Similarity: 0.9561 | |
| Structural Similarity: 0.9821 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.3117 | |
| Readability: -0.0176 | |
| Weighted Score: 0.5705 | |
| Repository: Deep-Live-Cam | |
| Scores: | |
| BLEU: 0.0794 | |
| ROUGE-1: 0.3417 | |
| ROUGE-2: 0.2155 | |
| ROUGE-L: 0.3352 | |
| Cosine Similarity: 0.7203 | |
| Structural Similarity: 0.0172 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0215 | |
| Readability: 0.4278 | |
| Weighted Score: 0.2413 | |
| Repository: python-fire | |
| Scores: | |
| BLEU: 0.0264 | |
| ROUGE-1: 0.1463 | |
| ROUGE-2: 0.0420 | |
| ROUGE-L: 0.1422 | |
| Cosine Similarity: 0.3726 | |
| Structural Similarity: 0.0455 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.1292 | |
| Readability: 0.2708 | |
| Weighted Score: 0.2955 | |
| Repository: devika | |
| Scores: | |
| BLEU: 0.0649 | |
| ROUGE-1: 0.2550 | |
| ROUGE-2: 0.0622 | |
| ROUGE-L: 0.2371 | |
| Cosine Similarity: 0.6790 | |
| Structural Similarity: 0.2353 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0913 | |
| Readability: 0.1831 | |
| Weighted Score: 0.2513 | |
| Repository: gpt-pilot | |
| Scores: | |
| BLEU: 0.0418 | |
| ROUGE-1: 0.2049 | |
| ROUGE-2: 0.0475 | |
| ROUGE-L: 0.1997 | |
| Cosine Similarity: 0.6082 | |
| Structural Similarity: 0.3333 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0370 | |
| Readability: -0.1432 | |
| Weighted Score: 0.2122 | |
| Repository: Depix | |
| Scores: | |
| BLEU: 0.0574 | |
| ROUGE-1: 0.2749 | |
| ROUGE-2: 0.0636 | |
| ROUGE-L: 0.2749 | |
| Cosine Similarity: 0.6483 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4106 | |
| Weighted Score: 0.3832 | |
| Repository: Real-Time-Voice-Cloning | |
| Scores: | |
| BLEU: 0.1271 | |
| ROUGE-1: 0.2912 | |
| ROUGE-2: 0.0822 | |
| ROUGE-L: 0.2880 | |
| Cosine Similarity: 0.5456 | |
| Structural Similarity: 0.2647 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0677 | |
| Readability: 0.2728 | |
| Weighted Score: 0.2639 | |
| Repository: httpx | |
| Scores: | |
| BLEU: 0.0611 | |
| ROUGE-1: 0.1683 | |
| ROUGE-2: 0.0315 | |
| ROUGE-L: 0.1655 | |
| Cosine Similarity: 0.6544 | |
| Structural Similarity: 0.1875 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.1193 | |
| Readability: 0.2454 | |
| Weighted Score: 0.3355 | |
| Repository: chatgpt-mirai-qq-bot | |
| Scores: | |
| BLEU: 0.0655 | |
| ROUGE-1: 0.0766 | |
| ROUGE-2: 0.0198 | |
| ROUGE-L: 0.0766 | |
| Cosine Similarity: 0.3706 | |
| Structural Similarity: 0.4231 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0680 | |
| Readability: 0.3392 | |
| Weighted Score: 0.3731 | |
| Repository: gpt-researcher | |
| Scores: | |
| BLEU: 0.0363 | |
| ROUGE-1: 0.1881 | |
| ROUGE-2: 0.0498 | |
| ROUGE-L: 0.1803 | |
| Cosine Similarity: 0.7379 | |
| Structural Similarity: 0.1667 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0548 | |
| Readability: 0.0038 | |
| Weighted Score: 0.2398 | |
| Repository: mkdocs | |
| Scores: | |
| BLEU: 0.0783 | |
| ROUGE-1: 0.2718 | |
| ROUGE-2: 0.0735 | |
| ROUGE-L: 0.2670 | |
| Cosine Similarity: 0.6400 | |
| Structural Similarity: 0.7143 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0356 | |
| Readability: 0.3381 | |
| Weighted Score: 0.3185 | |
| Repository: face_recognition | |
| Scores: | |
| BLEU: 1.0000 | |
| ROUGE-1: 1.0000 | |
| ROUGE-2: 1.0000 | |
| ROUGE-L: 1.0000 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9884 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.2727 | |
| Readability: 0.0823 | |
| Weighted Score: 0.6298 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0466 | |
| ROUGE-2: 0.0094 | |
| ROUGE-L: 0.0456 | |
| Cosine Similarity: 0.4307 | |
| Structural Similarity: 0.0202 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0565 | |
| Readability: 0.5053 | |
| Weighted Score: 0.2008 | |
| Repository: GPT_API_free | |
| Scores: | |
| BLEU: 0.0035 | |
| ROUGE-1: 0.0697 | |
| ROUGE-2: 0.0000 | |
| ROUGE-L: 0.0697 | |
| Cosine Similarity: 0.1395 | |
| Structural Similarity: 0.1750 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 1.0000 | |
| Readability: 0.5195 | |
| Weighted Score: 0.5004 | |
| Repository: 30-Days-Of-Python | |
| Scores: | |
| BLEU: 0.0089 | |
| ROUGE-1: 0.3016 | |
| ROUGE-2: 0.1728 | |
| ROUGE-L: 0.2988 | |
| Cosine Similarity: 0.6072 | |
| Structural Similarity: 0.0714 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: -0.1076 | |
| Weighted Score: 0.1530 | |
| Repository: ChatPaper | |
| Scores: | |
| BLEU: 0.0055 | |
| ROUGE-1: 0.0892 | |
| ROUGE-2: 0.0164 | |
| ROUGE-L: 0.0892 | |
| Cosine Similarity: 0.3753 | |
| Structural Similarity: 0.3273 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0724 | |
| Readability: 0.1781 | |
| Weighted Score: 0.3274 | |
| Repository: twint | |
| Scores: | |
| BLEU: 0.0505 | |
| ROUGE-1: 0.2471 | |
| ROUGE-2: 0.0628 | |
| ROUGE-L: 0.2369 | |
| Cosine Similarity: 0.7530 | |
| Structural Similarity: 0.2000 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.1983 | |
| Readability: 0.4451 | |
| Weighted Score: 0.4473 | |
| Repository: flask | |
| Scores: | |
| BLEU: 0.3477 | |
| ROUGE-1: 0.6256 | |
| ROUGE-2: 0.5505 | |
| ROUGE-L: 0.6256 | |
| Cosine Similarity: 0.8000 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0710 | |
| Readability: 0.3412 | |
| Weighted Score: 0.4273 | |
| Repository: professional-programming | |
| Scores: | |
| BLEU: 0.0004 | |
| ROUGE-1: 0.0561 | |
| ROUGE-2: 0.0076 | |
| ROUGE-L: 0.0540 | |
| Cosine Similarity: 0.4377 | |
| Structural Similarity: 0.1165 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: -0.0525 | |
| Weighted Score: 0.1689 | |
| Repository: EIPs | |
| Scores: | |
| BLEU: 0.0208 | |
| ROUGE-1: 0.1651 | |
| ROUGE-2: 0.0304 | |
| ROUGE-L: 0.1651 | |
| Cosine Similarity: 0.2598 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0533 | |
| Readability: 0.4024 | |
| Weighted Score: 0.2363 | |
| Repository: grok-1 | |
| Scores: | |
| BLEU: 0.5389 | |
| ROUGE-1: 0.7237 | |
| ROUGE-2: 0.5687 | |
| ROUGE-L: 0.7188 | |
| Cosine Similarity: 0.8895 | |
| Structural Similarity: 0.2500 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0482 | |
| Readability: 0.3219 | |
| Weighted Score: 0.3890 | |
| Repository: PyTorch-GAN | |
| Scores: | |
| BLEU: 0.0095 | |
| ROUGE-1: 0.2140 | |
| ROUGE-2: 0.0682 | |
| ROUGE-L: 0.1984 | |
| Cosine Similarity: 0.6973 | |
| Structural Similarity: 0.1466 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0959 | |
| Readability: -0.2603 | |
| Weighted Score: 0.1885 | |
| Repository: public-apis | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0275 | |
| ROUGE-2: 0.0041 | |
| ROUGE-L: 0.0273 | |
| Cosine Similarity: 0.1847 | |
| Structural Similarity: 0.0625 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.5706 | |
| Weighted Score: 0.2608 | |
| Repository: hackingtool | |
| Scores: | |
| BLEU: 0.9973 | |
| ROUGE-1: 0.9985 | |
| ROUGE-2: 0.9975 | |
| ROUGE-L: 0.9985 | |
| Cosine Similarity: 1.0000 | |
| Structural Similarity: 0.9900 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.4171 | |
| Readability: -0.8108 | |
| Weighted Score: 0.4398 | |
| Repository: cascadia-code | |
| Scores: | |
| BLEU: 0.0707 | |
| ROUGE-1: 0.2347 | |
| ROUGE-2: 0.0438 | |
| ROUGE-L: 0.2254 | |
| Cosine Similarity: 0.7122 | |
| Structural Similarity: 0.3235 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.4799 | |
| Weighted Score: 0.3035 | |
| Repository: python-cheatsheet | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0654 | |
| ROUGE-2: 0.0132 | |
| ROUGE-L: 0.0641 | |
| Cosine Similarity: 0.5017 | |
| Structural Similarity: 0.0403 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.1176 | |
| Readability: 0.5439 | |
| Weighted Score: 0.3113 | |
| Repository: rembg | |
| Scores: | |
| BLEU: 0.0206 | |
| ROUGE-1: 0.2056 | |
| ROUGE-2: 0.0552 | |
| ROUGE-L: 0.1906 | |
| Cosine Similarity: 0.5128 | |
| Structural Similarity: 0.4583 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0696 | |
| Readability: 0.3361 | |
| Weighted Score: 0.3554 | |
| Repository: devops-exercises | |
| Scores: | |
| BLEU: 0.0151 | |
| ROUGE-1: 0.3865 | |
| ROUGE-2: 0.3092 | |
| ROUGE-L: 0.3865 | |
| Cosine Similarity: 0.8250 | |
| Structural Similarity: 0.0260 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0833 | |
| Readability: 0.3832 | |
| Weighted Score: 0.2560 | |
| Repository: AutoEq | |
| Scores: | |
| BLEU: 0.0493 | |
| ROUGE-1: 0.2065 | |
| ROUGE-2: 0.0307 | |
| ROUGE-L: 0.1902 | |
| Cosine Similarity: 0.4410 | |
| Structural Similarity: 0.5357 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.1483 | |
| Readability: 0.4288 | |
| Weighted Score: 0.3923 | |
| Repository: MiniGPT-4 | |
| Scores: | |
| BLEU: 0.0213 | |
| ROUGE-1: 0.1575 | |
| ROUGE-2: 0.0212 | |
| ROUGE-L: 0.1522 | |
| Cosine Similarity: 0.5734 | |
| Structural Similarity: 0.1923 | |
| Information Retrieval: 0.2000 | |
| Code Consistency: 0.0310 | |
| Readability: -0.1929 | |
| Weighted Score: 0.0974 | |
| Repository: python-spider | |
| Scores: | |
| BLEU: 0.0375 | |
| ROUGE-1: 0.0202 | |
| ROUGE-2: 0.0018 | |
| ROUGE-L: 0.0202 | |
| Cosine Similarity: 0.0867 | |
| Structural Similarity: 0.4286 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0197 | |
| Readability: 0.4349 | |
| Weighted Score: 0.3076 | |
| Repository: chatgpt-retrieval-plugin | |
| Scores: | |
| BLEU: 0.0184 | |
| ROUGE-1: 0.1297 | |
| ROUGE-2: 0.0251 | |
| ROUGE-L: 0.1239 | |
| Cosine Similarity: 0.3309 | |
| Structural Similarity: 0.3721 | |
| Information Retrieval: 1.0000 | |
| Code Consistency: 0.0510 | |
| Readability: 0.0342 | |
| Weighted Score: 0.2985 | |
| Repository: flux | |
| Scores: | |
| BLEU: 0.0637 | |
| ROUGE-1: 0.2510 | |
| ROUGE-2: 0.0592 | |
| ROUGE-L: 0.2428 | |
| Cosine Similarity: 0.6024 | |
| Structural Similarity: 0.5312 | |
| Information Retrieval: 0.8000 | |
| Code Consistency: 0.0455 | |
| Readability: 0.4166 | |
| Weighted Score: 0.3906 | |
| Repository: pyright | |
| Scores: | |
| BLEU: 0.0280 | |
| ROUGE-1: 0.2063 | |
| ROUGE-2: 0.0409 | |
| ROUGE-L: 0.2063 | |
| Cosine Similarity: 0.2768 | |
| Structural Similarity: 0.5000 | |
| Information Retrieval: 0.6000 | |
| Code Consistency: 0.0000 | |
| Readability: 0.3402 | |
| Weighted Score: 0.2837 | |
| Repository: system-design-primer | |
| Scores: | |
| BLEU: 0.0000 | |
| ROUGE-1: 0.0711 | |
| ROUGE-2: 0.0172 | |
| ROUGE-L: 0.0687 | |
| Cosine Similarity: 0.5166 | |
| Structural Similarity: 0.0116 | |
| Information Retrieval: 0.4000 | |
| Code Consistency: 0.1452 | |
| Readability: 0.5493 | |
| Weighted Score: 0.2770 | |