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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: source |
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dtype: string |
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- name: file_name |
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dtype: string |
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- name: cwe |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 87854 |
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num_examples: 76 |
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download_size: 53832 |
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dataset_size: 87854 |
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--- |
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# Dataset Card for "static-analysis-eval" |
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|
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A dataset of 76 Python programs taken from real Python open source projects (top 1000 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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# Leaderboard |
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| Model | StaticAnalysisEval (%) | Time (mins) | Price (USD) | |
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|------------------------------|------------------------|-------------|-------------| |
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| gpt-4o | 69.736 | 23:05 | 1.53 | |
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| Llama-3-70B | 65.78 | 35:26 | | |
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| Llama-3-8B | 65.78 | 31.34 | | |
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| gpt-4-1106-preview | 64.47 | 27:56:00 | 3.04 | |
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| gpt-4 | 63.16 | 26:31:00 | 6.84 | |
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| gpt-4-0125-preview | 53.94 | 34:40:00 | | |
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| patched-coder-7b | 51.31 | 45.2 | | |
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| patched-coder-34b | 46.05 | 33:58:00 | 0.867 | |
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| Mistral-Large | 40.8 | > 1 hr | | |
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| Gemini-pro | 39.47 | 16:09 | 0.228 | |
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| Mistral-Medium | 39.47 | > 1 hr | 0.8 | |
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| Mixtral | 30.26 | 30.09 | | |
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| gpt-3.5-turbo-0125 | 28.95 | 21.5 | | |
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| claude-3-opus-20240229 | 25 | > 1 hr | | |
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| Gemma | 19.73 | 36.4 | | |
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| gpt-3.5-turbo-1106 | 17.11 | 13:00 | 0.228 | |
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| Codellama-70b-Instruct | 10.53 | 30.32 | | |
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| CodeLlama-34b-Instruct | 7.89 | 23:16 | | |
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