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  # RIDE Silver
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  RIDE Silver is the cleaned relational release of the RIDE dataset. It contains Belgian passenger railway operations from 2023 to 2025, organized as event, journey, infrastructure, operational-point, and weather tables.
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  This release is intended as a reusable intermediate data layer. It can be used to inspect the underlying railway data, build alternative train-delay prediction tasks, construct model-specific datasets, or reproduce the RIDE Gold benchmark releases.
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  ## Links
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  - Code repository: https://github.com/orailix/ride
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- - Paper: TODO, to be added after publication
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  ## Files
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  ## Citation
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  # RIDE Silver
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+ [![arXiv](https://img.shields.io/badge/arXiv-2606.05070-b31b1b.svg)](https://arxiv.org/abs/2606.05070)
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+ [![Code](https://img.shields.io/badge/code-GitHub-181717.svg)](https://github.com/orailix/ride)
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+
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  RIDE Silver is the cleaned relational release of the RIDE dataset. It contains Belgian passenger railway operations from 2023 to 2025, organized as event, journey, infrastructure, operational-point, and weather tables.
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  This release is intended as a reusable intermediate data layer. It can be used to inspect the underlying railway data, build alternative train-delay prediction tasks, construct model-specific datasets, or reproduce the RIDE Gold benchmark releases.
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  ## Links
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+ - Paper: https://arxiv.org/abs/2606.05070
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  - Code repository: https://github.com/orailix/ride
 
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  ## Files
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  ## Citation
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+ ```bibtex
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+ @misc{elliker2026rideopendatasetbenchmark,
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+ title={RIDE: An Open Dataset and Benchmark for Train Delay Prediction},
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+ author={Clément Elliker and Mathis Le Bail and Clément Mantoux and Jesse Read and Sonia Vanier},
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+ year={2026},
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+ eprint={2606.05070},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2606.05070},
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+ }