| Evaluation Results for model: o1-mini |
| Timestamp: 20240913_183521 |
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| Average Scores: |
| bleu: 0.0313 |
| rouge-1: 0.1539 |
| rouge-2: 0.0351 |
| rouge-l: 0.1481 |
| cosine_similarity: 0.4249 |
| structural_similarity: 0.2755 |
| information_retrieval: 0.8000 |
| code_consistency: 0.0778 |
| readability: 0.3527 |
| weighted_score: 0.3305 |
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| Detailed Results: |
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| Repository: labelme |
| Scores: |
| BLEU: 0.0167 |
| ROUGE-1: 0.2257 |
| ROUGE-2: 0.0635 |
| ROUGE-L: 0.2172 |
| Cosine Similarity: 0.4417 |
| Structural Similarity: 0.1447 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0160 |
| Readability: 0.3422 |
| Weighted Score: 0.3089 |
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| Repository: gpt-engineer |
| Scores: |
| BLEU: 0.0320 |
| ROUGE-1: 0.1942 |
| ROUGE-2: 0.0203 |
| ROUGE-L: 0.1772 |
| Cosine Similarity: 0.4518 |
| Structural Similarity: 0.5333 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0739 |
| Readability: 0.2596 |
| Weighted Score: 0.3415 |
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| Repository: ChatGLM-6B |
| Scores: |
| BLEU: 0.0244 |
| ROUGE-1: 0.0932 |
| ROUGE-2: 0.0232 |
| ROUGE-L: 0.0932 |
| Cosine Similarity: 0.4508 |
| Structural Similarity: 0.3214 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0722 |
| Readability: 0.2749 |
| Weighted Score: 0.3561 |
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| Repository: SMSBoom |
| Scores: |
| BLEU: 0.0948 |
| ROUGE-1: 0.1324 |
| ROUGE-2: 0.0370 |
| ROUGE-L: 0.1297 |
| Cosine Similarity: 0.2038 |
| Structural Similarity: 0.3846 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.1389 |
| Readability: 0.4471 |
| Weighted Score: 0.3955 |
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| Repository: mackup |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0887 |
| ROUGE-2: 0.0232 |
| ROUGE-L: 0.0826 |
| Cosine Similarity: 0.1500 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.2037 |
| Readability: 0.4380 |
| Weighted Score: 0.2948 |
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| Repository: TaskMatrix |
| Scores: |
| BLEU: 0.0162 |
| ROUGE-1: 0.2092 |
| ROUGE-2: 0.0407 |
| ROUGE-L: 0.1993 |
| Cosine Similarity: 0.4469 |
| Structural Similarity: 0.1607 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0390 |
| Readability: 0.3361 |
| Weighted Score: 0.3124 |
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| Repository: Deep-Live-Cam |
| Scores: |
| BLEU: 0.0357 |
| ROUGE-1: 0.2037 |
| ROUGE-2: 0.0314 |
| ROUGE-L: 0.1956 |
| Cosine Similarity: 0.5690 |
| Structural Similarity: 0.4531 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0108 |
| Readability: 0.4349 |
| Weighted Score: 0.3693 |
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| Repository: python-fire |
| Scores: |
| BLEU: 0.1594 |
| ROUGE-1: 0.3261 |
| ROUGE-2: 0.1319 |
| ROUGE-L: 0.3080 |
| Cosine Similarity: 0.6987 |
| Structural Similarity: 0.4167 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0218 |
| Readability: 0.5287 |
| Weighted Score: 0.4232 |
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| Repository: devika |
| Scores: |
| BLEU: 0.0614 |
| ROUGE-1: 0.2513 |
| ROUGE-2: 0.0648 |
| ROUGE-L: 0.2385 |
| Cosine Similarity: 0.6299 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1010 |
| Readability: 0.3584 |
| Weighted Score: 0.3895 |
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| Repository: gpt-pilot |
| Scores: |
| BLEU: 0.0200 |
| ROUGE-1: 0.1927 |
| ROUGE-2: 0.0338 |
| ROUGE-L: 0.1910 |
| Cosine Similarity: 0.5560 |
| Structural Similarity: 0.2708 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0531 |
| Readability: 0.4552 |
| Weighted Score: 0.4003 |
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| Repository: Depix |
| Scores: |
| BLEU: 0.0484 |
| ROUGE-1: 0.2219 |
| ROUGE-2: 0.0429 |
| ROUGE-L: 0.2130 |
| Cosine Similarity: 0.5544 |
| Structural Similarity: 0.5417 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0400 |
| Readability: 0.2779 |
| Weighted Score: 0.3140 |
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| Repository: Real-Time-Voice-Cloning |
| Scores: |
| BLEU: 0.0433 |
| ROUGE-1: 0.2146 |
| ROUGE-2: 0.0422 |
| ROUGE-L: 0.2040 |
| Cosine Similarity: 0.4239 |
| Structural Similarity: 0.3750 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0714 |
| Readability: 0.2809 |
| Weighted Score: 0.2901 |
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| Repository: httpx |
| Scores: |
| BLEU: 0.0779 |
| ROUGE-1: 0.2076 |
| ROUGE-2: 0.0610 |
| ROUGE-L: 0.2076 |
| Cosine Similarity: 0.6010 |
| Structural Similarity: 0.4000 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0765 |
| Readability: 0.3310 |
| Weighted Score: 0.4053 |
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| Repository: chatgpt-mirai-qq-bot |
| Scores: |
| BLEU: 0.0050 |
| ROUGE-1: 0.0816 |
| ROUGE-2: 0.0185 |
| ROUGE-L: 0.0816 |
| Cosine Similarity: 0.1443 |
| Structural Similarity: 0.3462 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0442 |
| Readability: 0.3523 |
| Weighted Score: 0.3349 |
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| Repository: gpt-researcher |
| Scores: |
| BLEU: 0.0293 |
| ROUGE-1: 0.1995 |
| ROUGE-2: 0.0593 |
| ROUGE-L: 0.1886 |
| Cosine Similarity: 0.5943 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0502 |
| Readability: 0.3107 |
| Weighted Score: 0.3781 |
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| Repository: mkdocs |
| Scores: |
| BLEU: 0.0297 |
| ROUGE-1: 0.2014 |
| ROUGE-2: 0.0379 |
| ROUGE-L: 0.1945 |
| Cosine Similarity: 0.4870 |
| Structural Similarity: 0.6429 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0493 |
| Readability: 0.3730 |
| Weighted Score: 0.3349 |
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| Repository: face_recognition |
| Scores: |
| BLEU: 0.0075 |
| ROUGE-1: 0.2270 |
| ROUGE-2: 0.0617 |
| ROUGE-L: 0.2163 |
| Cosine Similarity: 0.6007 |
| Structural Similarity: 0.2093 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0909 |
| Readability: 0.5236 |
| Weighted Score: 0.4215 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0569 |
| ROUGE-2: 0.0071 |
| ROUGE-L: 0.0541 |
| Cosine Similarity: 0.4595 |
| Structural Similarity: 0.0260 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0484 |
| Readability: 0.2708 |
| Weighted Score: 0.2763 |
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| Repository: GPT_API_free |
| Scores: |
| BLEU: 0.0200 |
| ROUGE-1: 0.1111 |
| ROUGE-2: 0.0262 |
| ROUGE-L: 0.1111 |
| Cosine Similarity: 0.1560 |
| Structural Similarity: 0.1750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.5246 |
| Weighted Score: 0.3083 |
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| Repository: 30-Days-Of-Python |
| Scores: |
| BLEU: 0.0005 |
| ROUGE-1: 0.1359 |
| ROUGE-2: 0.0172 |
| ROUGE-L: 0.1290 |
| Cosine Similarity: 0.5549 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.3351 |
| Weighted Score: 0.3020 |
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| Repository: ChatPaper |
| Scores: |
| BLEU: 0.0002 |
| ROUGE-1: 0.0823 |
| ROUGE-2: 0.0198 |
| ROUGE-L: 0.0811 |
| Cosine Similarity: 0.2450 |
| Structural Similarity: 0.1636 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0789 |
| Readability: 0.1760 |
| Weighted Score: 0.2580 |
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| Repository: twint |
| Scores: |
| BLEU: 0.0321 |
| ROUGE-1: 0.1891 |
| ROUGE-2: 0.0297 |
| ROUGE-L: 0.1800 |
| Cosine Similarity: 0.4776 |
| Structural Similarity: 0.2500 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.1379 |
| Readability: 0.4349 |
| Weighted Score: 0.4039 |
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| Repository: flask |
| Scores: |
| BLEU: 0.0172 |
| ROUGE-1: 0.1546 |
| ROUGE-2: 0.0358 |
| ROUGE-L: 0.1499 |
| Cosine Similarity: 0.4077 |
| Structural Similarity: 0.2857 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1006 |
| Readability: 0.3138 |
| Weighted Score: 0.2853 |
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| Repository: professional-programming |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0184 |
| ROUGE-2: 0.0018 |
| ROUGE-L: 0.0181 |
| Cosine Similarity: 0.3315 |
| Structural Similarity: 0.0338 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0000 |
| Readability: 0.5358 |
| Weighted Score: 0.3050 |
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| Repository: EIPs |
| Scores: |
| BLEU: 0.0490 |
| ROUGE-1: 0.1900 |
| ROUGE-2: 0.0379 |
| ROUGE-L: 0.1838 |
| Cosine Similarity: 0.3894 |
| Structural Similarity: 0.3333 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0296 |
| Readability: 0.3595 |
| Weighted Score: 0.3288 |
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| Repository: grok-1 |
| Scores: |
| BLEU: 0.0723 |
| ROUGE-1: 0.2213 |
| ROUGE-2: 0.0571 |
| ROUGE-L: 0.2129 |
| Cosine Similarity: 0.5618 |
| Structural Similarity: 0.1538 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0602 |
| Readability: 0.3615 |
| Weighted Score: 0.3396 |
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| Repository: PyTorch-GAN |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1114 |
| ROUGE-2: 0.0230 |
| ROUGE-L: 0.1072 |
| Cosine Similarity: 0.5560 |
| Structural Similarity: 0.0301 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0411 |
| Readability: 0.2728 |
| Weighted Score: 0.2895 |
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| Repository: public-apis |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0263 |
| ROUGE-2: 0.0027 |
| ROUGE-L: 0.0261 |
| Cosine Similarity: 0.1294 |
| Structural Similarity: 0.1071 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0476 |
| Readability: 0.3473 |
| Weighted Score: 0.2645 |
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| Repository: hackingtool |
| Scores: |
| BLEU: 0.0140 |
| ROUGE-1: 0.1018 |
| ROUGE-2: 0.0153 |
| ROUGE-L: 0.0980 |
| Cosine Similarity: 0.3021 |
| Structural Similarity: 0.1000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.4920 |
| Readability: 0.3534 |
| Weighted Score: 0.3379 |
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| Repository: cascadia-code |
| Scores: |
| BLEU: 0.0385 |
| ROUGE-1: 0.1738 |
| ROUGE-2: 0.0237 |
| ROUGE-L: 0.1658 |
| Cosine Similarity: 0.4286 |
| Structural Similarity: 0.3929 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.2000 |
| Readability: 0.3534 |
| Weighted Score: 0.3688 |
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| Repository: python-cheatsheet |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0288 |
| ROUGE-2: 0.0020 |
| ROUGE-L: 0.0278 |
| Cosine Similarity: 0.3018 |
| Structural Similarity: 0.0261 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.1765 |
| Readability: 0.2718 |
| Weighted Score: 0.2444 |
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| Repository: rembg |
| Scores: |
| BLEU: 0.0578 |
| ROUGE-1: 0.1975 |
| ROUGE-2: 0.0791 |
| ROUGE-L: 0.1937 |
| Cosine Similarity: 0.4418 |
| Structural Similarity: 0.4423 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0783 |
| Readability: 0.3341 |
| Weighted Score: 0.3524 |
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| Repository: devops-exercises |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0483 |
| ROUGE-2: 0.0049 |
| ROUGE-L: 0.0480 |
| Cosine Similarity: 0.2898 |
| Structural Similarity: 0.0909 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0417 |
| Readability: 0.3655 |
| Weighted Score: 0.2829 |
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| Repository: AutoEq |
| Scores: |
| BLEU: 0.0242 |
| ROUGE-1: 0.1841 |
| ROUGE-2: 0.0279 |
| ROUGE-L: 0.1813 |
| Cosine Similarity: 0.4377 |
| Structural Similarity: 0.3214 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0466 |
| Readability: 0.2809 |
| Weighted Score: 0.3170 |
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| Repository: MiniGPT-4 |
| Scores: |
| BLEU: 0.0089 |
| ROUGE-1: 0.1452 |
| ROUGE-2: 0.0304 |
| ROUGE-L: 0.1402 |
| Cosine Similarity: 0.3657 |
| Structural Similarity: 0.4231 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0310 |
| Readability: 0.3513 |
| Weighted Score: 0.2868 |
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| Repository: python-spider |
| Scores: |
| BLEU: 0.0493 |
| ROUGE-1: 0.0455 |
| ROUGE-2: 0.0116 |
| ROUGE-L: 0.0455 |
| Cosine Similarity: 0.1629 |
| Structural Similarity: 0.2333 |
| Information Retrieval: 1.0000 |
| Code Consistency: 0.0493 |
| Readability: 0.4441 |
| Weighted Score: 0.3467 |
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| Repository: chatgpt-retrieval-plugin |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.1439 |
| ROUGE-2: 0.0324 |
| ROUGE-L: 0.1364 |
| Cosine Similarity: 0.6062 |
| Structural Similarity: 0.1875 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.0573 |
| Readability: 0.1750 |
| Weighted Score: 0.2963 |
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| Repository: flux |
| Scores: |
| BLEU: 0.1255 |
| ROUGE-1: 0.2746 |
| ROUGE-2: 0.0944 |
| ROUGE-L: 0.2694 |
| Cosine Similarity: 0.5912 |
| Structural Similarity: 0.3750 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1364 |
| Readability: 0.3117 |
| Weighted Score: 0.3801 |
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| Repository: pyright |
| Scores: |
| BLEU: 0.0396 |
| ROUGE-1: 0.1810 |
| ROUGE-2: 0.0236 |
| ROUGE-L: 0.1667 |
| Cosine Similarity: 0.2984 |
| Structural Similarity: 0.5000 |
| Information Retrieval: 0.6000 |
| Code Consistency: 0.0000 |
| Readability: 0.2749 |
| Weighted Score: 0.2712 |
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| Repository: system-design-primer |
| Scores: |
| BLEU: 0.0000 |
| ROUGE-1: 0.0633 |
| ROUGE-2: 0.0066 |
| ROUGE-L: 0.0590 |
| Cosine Similarity: 0.4956 |
| Structural Similarity: 0.0318 |
| Information Retrieval: 0.8000 |
| Code Consistency: 0.1048 |
| Readability: 0.3351 |
| Weighted Score: 0.3050 |
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