Datasets › DSIOD

DSIOD (Driving Scenario Input Output Dataset)

Introduced by Max Winkelmann et al. in Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios6 Oct 2021 archive 2025-07-28

This dataset contains data which enables the evaluation of metamodels and approches for targeted test case selection without setting up test environments or performing test runs. The dataset is split into different scenarios: Each scenario comes with one or more tabular datasets containing the inputs and outputs of different test cases (concrete scenarios). A configuration file describes which of the columns are inputs and outputs and explains the different parameters. The config also contains verbal descriptions of the scenarios. Additionally, animations of the scenarios are available.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • DSIOD

1 variant name, as the archive lists them.

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