| --- |
| license: cc-by-4.0 |
| pretty_name: RIDE Silver |
| tags: |
| - railway-networks |
| - train-delay-prediction |
| - relational-data |
| - transportation |
| configs: |
| - config_name: events |
| data_files: |
| - split: full |
| path: events/*.parquet |
| - config_name: journeys |
| data_files: |
| - split: full |
| path: journeys/*.parquet |
| - config_name: op_nodes |
| data_files: |
| - split: full |
| path: static/op_nodes.parquet |
| - config_name: line_sections |
| data_files: |
| - split: full |
| path: static/line_sections.parquet |
| - config_name: node_links |
| data_files: |
| - split: full |
| path: static/node_links.parquet |
| - config_name: weather |
| data_files: |
| - split: full |
| path: static/weather.parquet |
| --- |
| |
|
|
| # RIDE Silver |
|
|
| [](https://arxiv.org/abs/2606.05070) |
| [](https://github.com/orailix/ride) |
|
|
| 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. |
|
|
| 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. |
|
|
| ## Links |
|
|
| - Paper: https://arxiv.org/abs/2606.05070 |
| - Code repository: https://github.com/orailix/ride |
|
|
| ## Files |
|
|
| | Path | Description | |
| |---|---| |
| | `events/events_YYYYMM.parquet` | Monthly train event records with train ID, service date, operation node, event type, planned and observed timestamps, line IDs, and delay in seconds. | |
| | `journeys/journeys_YYYYMM.parquet` | Monthly journey summaries with train-level metadata, start/end nodes, planned/observed start and end timestamps, event counts, delay summaries, and inferred paths. | |
| | `static/op_nodes.parquet` | Operational points with identifiers, names, types, latitude, and longitude. | |
| | `static/line_sections.parquet` | Railway line sections with geometry, line ID, endpoint operation nodes, number of tracks, and matched operation nodes. | |
| | `static/node_links.parquet` | Directed links between consecutive operation nodes with distances. | |
| | `static/weather.parquet` | Hourly weather variables aligned to operation nodes. | |
| | `metadata.yaml` | Build metadata. | |
| | `ride_silver_croissant.json` | Croissant metadata with schema, Responsible AI, and provenance information. | |
|
|
| ## Coverage |
|
|
| - Time period: January 2023 to December 2025 |
| - Operational points: 1,355 |
| - Line sections: 1,212 |
| - Node links: 1,797 |
| - Events: 94.5M |
| - Journeys: 3.6M |
|
|
| ## Loading Example |
|
|
| ```python |
| import pandas as pd |
| |
| events = pd.read_parquet("events/events_202501.parquet") |
| journeys = pd.read_parquet("journeys/journeys_202501.parquet") |
| op_nodes = pd.read_parquet("static/op_nodes.parquet") |
| node_links = pd.read_parquet("static/node_links.parquet") |
| weather = pd.read_parquet("static/weather.parquet") |
| ``` |
|
|
| ## Construction |
|
|
| RIDE Silver was generated with the RIDE data-processing pipeline from public railway and weather sources. See the code repository linked above for the construction code and manifests. |
|
|
|
|
| ## Notes |
|
|
| RIDE Silver contains operational railway records and weather observations. It does not intentionally contain passenger identities, employee identities, ticketing records, device identifiers, or direct personal information. |
|
|
| Responsible AI, provenance, and limitation metadata are provided in `ride_silver_croissant.json`. |
|
|
| ## Sources |
|
|
| RIDE Silver is derived from public railway and weather sources: |
|
|
| - Infrabel Open Data: https://infrabel.opendatasoft.com/pages/home/ |
| - Open-Meteo: https://open-meteo.com/ |
|
|
| When using RIDE Silver, please attribute RIDE, Infrabel Open Data, and Open-Meteo. |
|
|
| ## License |
|
|
| RIDE Silver is released under CC BY 4.0. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{elliker2026rideopendatasetbenchmark, |
| title={RIDE: An Open Dataset and Benchmark for Train Delay Prediction}, |
| author={Clément Elliker and Mathis Le Bail and Clément Mantoux and Jesse Read and Sonia Vanier}, |
| year={2026}, |
| eprint={2606.05070}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.LG}, |
| url={https://arxiv.org/abs/2606.05070}, |
| } |
