Duplicate from ScalingIntelligence/KernelBench

Co-authored-by: Anne Ouyang <anneouyang@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: code
+    dtype: string
+  - name: level
+    dtype: int64
+  - name: name
+    dtype: string
+  - name: problem_id
+    dtype: int64
+  splits:
+  - name: level_1
+    num_bytes: 133215
+    num_examples: 100
+  - name: level_2
+    num_bytes: 114519
+    num_examples: 100
+  - name: level_3
+    num_bytes: 177082
+    num_examples: 50
+  - name: level_4
+    num_bytes: 15591
+    num_examples: 20
+  download_size: 115926
+  dataset_size: 440407
+configs:
+- config_name: default
+  data_files:
+  - split: level_1
+    path: data/level_1-*
+  - split: level_2
+    path: data/level_2-*
+  - split: level_3
+    path: data/level_3-*
+  - split: level_4
+    path: data/level_4-*
+---
+
+# KernelBench
+A benchmark designed to evaluate the ability of LLMs to generate efficient GPU kernels for optimizing neural network performance
+
+## Version
+[07-21-2025] This HF dataset version has been updated to v0.1
+
+## Citation
+```bibtex
+@misc{ouyang2024kernelbench,
+      title={KernelBench: Can LLMs Write GPU Kernels?}, 
+      author={Anne Ouyang and Simon Guo and Azalia Mirhoseini},
+      year={2024},
+      url={https://scalingintelligence.stanford.edu/blogs/kernelbench/}, 
+}
+```

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