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README.md
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@@ -36,22 +36,22 @@ The highest score a model can get on this benchmark is 100%, you can see the ora
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| Model | Score | Logs |
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| gpt-4o-mini | 52.21 | [link](gpt-4o-mini-0-shot_semgrep_1.85.0_20240820_201236.log)|
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| + 3-shot prompt | 53.10 | [link](gpt-4o-mini-3-shot_semgrep_1.85.0_20240820_213814.log)|
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| + rag (embedding & reranking) | 58.41 | [link](gpt-4o-mini-3-shot-sim_semgrep_1.85.0_20240821_023541.log) |
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| + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | | [link]() |
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| Model | Score | Logs |
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| gpt-4o | 53.10 | [link](gpt-4o-0-shot_semgrep_1.85.0_20240820_210136.log)|
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| + 3-shot prompt | 53.98 | [link](gpt-4o-3-shot_semgrep_1.85.0_20240820_215534.log)|
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| + rag (embedding & reranking) | 56.64 | [link](gpt-4o-3-shot-sim_semgrep_1.85.0_20240821_025455.log) |
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| + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | | [link]() |
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# Static Analysis Eval Benchmark
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A dataset of 76 Python programs taken from real Python open source projects (top
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where each program is a file that has exactly 1 vulnerability as detected by a particular static analyzer (Semgrep).
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You can run the `_script_for_eval.py` script to check the results.
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| Model | Score | Logs |
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|:-----:|:-----:|:----:|
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| gpt-4o-mini | 52.21 | [link](gpt-4o-mini-0-shot_semgrep_1.85.0_20240820_201236.log)|
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| gpt-4o-mini + 3-shot prompt | 53.10 | [link](gpt-4o-mini-3-shot_semgrep_1.85.0_20240820_213814.log)|
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| gpt-4o-mini + rag (embedding & reranking) | 58.41 | [link](gpt-4o-mini-3-shot-sim_semgrep_1.85.0_20240821_023541.log) |
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| gpt-4o-mini + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | | [link]() |
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| Model | Score | Logs |
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|:-----:|:-----:|:----:|
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| gpt-4o | 53.10 | [link](gpt-4o-0-shot_semgrep_1.85.0_20240820_210136.log)|
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| gpt-4o-mini + 3-shot prompt | 53.98 | [link](gpt-4o-3-shot_semgrep_1.85.0_20240820_215534.log)|
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| gpt-4o-mini + rag (embedding & reranking) | 56.64 | [link](gpt-4o-3-shot-sim_semgrep_1.85.0_20240821_025455.log) |
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| gpt-4o-mini + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | | [link]() |
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# Static Analysis Eval Benchmark
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A dataset of 76 Python programs taken from real Python open source projects (top 100 on GitHub),
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where each program is a file that has exactly 1 vulnerability as detected by a particular static analyzer (Semgrep).
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You can run the `_script_for_eval.py` script to check the results.
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