mlsys26-contest

License:

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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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.

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