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--- |
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dataset_info: |
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features: |
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- name: code |
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dtype: string |
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- name: level |
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dtype: int64 |
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- name: name |
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dtype: string |
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- name: problem_id |
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dtype: int64 |
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splits: |
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- name: level_1 |
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num_bytes: 133215 |
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num_examples: 100 |
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- name: level_2 |
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num_bytes: 114519 |
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num_examples: 100 |
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- name: level_3 |
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num_bytes: 177082 |
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num_examples: 50 |
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- name: level_4 |
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num_bytes: 15591 |
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num_examples: 20 |
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download_size: 115926 |
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dataset_size: 440407 |
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configs: |
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- config_name: default |
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data_files: |
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- split: level_1 |
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path: data/level_1-* |
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- split: level_2 |
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path: data/level_2-* |
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- split: level_3 |
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path: data/level_3-* |
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- split: level_4 |
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path: data/level_4-* |
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pretty_name: KernelBench |
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--- |
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# Dataset Card for Dataset Name |
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<!-- Provide a quick summary of the dataset. --> |
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This is the copy from Stanford's KernelBench (https://huggingface.co/datasets/ScalingIntelligence/KernelBench). |
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## Dataset Details |
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- Level 1: 100 Problems |
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- Level 2: 100 Problems |
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- Level 3: 50 Problems |
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- Level 4: 20 Problems |
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## Plan: |
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1. We want to try and tackle the dataset as well at MBZUAI / Imperial College London. |
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