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