Datasets:

piebro
/

deutsche-bahn-data

Exception:    ConnectionError
Message:      Couldn't reach 'piebro/deutsche-bahn-data' on the Hub (ReadTimeout)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, 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 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1325, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1159, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'piebro/deutsche-bahn-data' on the Hub (ReadTimeout)

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Deutsche Bahn Train Data

This dataset contains public historical data from Deutsche Bahn, the largest German train company. It includes train schedules, delays, and cancellations from stations across Germany.

For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data

Dataset Structure

Monthly Processed Data

The monthly processed data is located in monthly_processed_data/ and contains files named data-YYYY-MM.parquet.

Schema:

Column	Type	Description
`station_name`	string	Name of the station
`xml_station_name`	string	Station name from the XML response
`eva`	string	EVA station number (unique identifier)
`train_name`	string	Name of the train (e.g., "ICE 123", "RE 5")
`final_destination_station`	string	Final destination of the train
`delay_in_min`	integer	Delay in minutes
`time`	timestamp	Actual arrival or departure time
`is_canceled`	boolean	Whether the train stop was canceled
`train_type`	string	Type of train (e.g., "ICE", "IC", "RE")
`train_line_ride_id`	string	Unique identifier for the train ride
`train_line_station_num`	integer	Station number in the train's route
`arrival_planned_time`	timestamp	Planned arrival time
`arrival_change_time`	timestamp	Actual/changed arrival time
`departure_planned_time`	timestamp	Planned departure time
`departure_change_time`	timestamp	Actual/changed departure time
`id`	string	Unique identifier for the train stop

Raw Data

The raw data is located in raw_data/ and is partitioned by year={year}/month={month}/day={day}/. Each partition contains multiple parquet files with hourly data.

Schema:

Column	Type	Description
`timestamp`	timestamp	When the API request was made
`url`	string	The API endpoint URL that was queried
`api_name`	string	Name of the API (e.g., "timetables/v1/plan", "timetables/v1/fchg")
`query_params`	string	JSON string of query parameters used
`response_data`	string	Raw XML or JSON response from the API
`status_code`	string	HTTP status code of the response
`error`	string	Error message if the request failed
`duration_ms`	float	Request duration in milliseconds
`year`	integer	Year of the request (partition key)
`month`	integer	Month of the request (partition key)
`day`	integer	Day of the request (partition key)

License

The dataset is licensed under Attribution 4.0 International (CC BY 4.0) by Deutsche Bahn.

Acknowledgments

Data sourced from Deutsche Bahn's public APIs. Special thanks to Deutsche Bahn for providing open access to this data.

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