metadata
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 benchmark system.
It follows the FlashInfer Trace Schema. To use the dataset in the competition, please refer to our starter kit.
Download
Use this command to download the dataset:
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:
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.