Duplicate from flashinfer-ai/mlsys26-contest

Co-authored-by: Zihao Ye <zhye@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+---
+
+# MLSys 2026 FlashInfer-Bench Challenge Dataset
+
+This repository contains the FlashInfer-Bench dataset for the MLSys 2026 Kenrel Generation Challenge.
+
+This dataset targets to be used in the [FlashInfer-Bench](https://github.com/flashinfer-ai/flashinfer-bench) benchmark system.
+
+It follows the [FlashInfer Trace Schema](https://bench.flashinfer.ai/docs/flashinfer-trace). To use the dataset in the competition, please refer to our [starter kit](https://github.com/flashinfer-ai/flashinfer-bench-starter-kit).
+
+## Download
+
+Use this command to download the dataset:
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/flashinfer-ai/mlsys26-contest
+```
+
+Set the environment variable so that FlashInfer-Bench can find the dataset:
+```bash
+export FIB_DATASET_PATH=/path/to/mlsys26-contest
+```
+
+## Tasks
+
+This dataset contains the definitions and workloads for these kernels:
+* Fused Mixture of Experts (MoE)
+* Gated Delta Network (GDN)
+* DeepSeek Sparse Attention (DSA)
+
+## Dataset Structure
+
+It is organized as follows:
+```
+mlsys26-contest/
+├── definitions/
+└── workloads/
+```
+
+These components are provided in the dataset:
+* **Definition**: describes the input, output, and computation logic of a kernel task.
+* **Workload**: describes the inputs for a definition during real inference. This will be used to benchmark the **Solution** you provided.
+
+During benchmarking, these components should be provided or generated:
+* **Solution**: provided by participants, your implementation of the kernel task.
+* **Trace**: generated by FlashInfer-Bench, the performance and correctness results of your solution on the workloads.

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