Datasets:
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@@ -19,6 +19,8 @@ The dataset was created through the following process:
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5. **Transorming Triton Code**: We transformed the triton code into one which resembled the format seen in [KernelBench](https://github.com/ScalingIntelligence/KernelBench).
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5. **Metadata Enrichment**: Each repository entry was enriched with metadata such as license information, star count, and commit SHA.
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## Data Structure
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Each entry in the dataset contains the following fields:
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5. **Transorming Triton Code**: We transformed the triton code into one which resembled the format seen in [KernelBench](https://github.com/ScalingIntelligence/KernelBench).
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5. **Metadata Enrichment**: Each repository entry was enriched with metadata such as license information, star count, and commit SHA.
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The scripts to do this yourself can be found [here](https://github.com/pytorch-labs/popcorn-kernels/tree/main/github_pytorch_index)
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## Data Structure
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Each entry in the dataset contains the following fields:
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