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Datasets:
ksg104
/
deutsche-bahn-data

Tasks:
Time Series Forecasting
Tabular Regression
Modalities:
Tabular
Text
Size:
100M - 1B
Tags:
transportation
trains
germany
deutsche-bahn
delays
timetables
License:
Dataset card Data Studio Files
xet
 Community
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ksg104 piebro commited on
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Duplicate from piebro/deutsche-bahn-data

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Co-authored-by: Piet <piebro@users.noreply.huggingface.co>

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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
4
+ - time-series-forecasting
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+ - tabular-regression
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+ tags:
7
+ - transportation
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+ - trains
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+ - germany
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+ - deutsche-bahn
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+ - delays
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+ - timetables
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+ size_categories:
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+ - 100M<n<1B
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+ pretty_name: Deutsche Bahn Data
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+ ---
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+
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+ # Deutsche Bahn Train Data
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+
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+ 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.
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+
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+ For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data
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+
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+ ## Dataset Structure
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+
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+ ### Monthly Processed Data
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+
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+ The monthly processed data is located in `monthly_processed_data/` and contains files named `data-YYYY-MM.parquet`.
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+
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+ **Schema:**
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+
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+ | Column | Type | Description |
33
+ |--------|------|-------------|
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+ | `station_name` | string | Name of the station |
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+ | `xml_station_name` | string | Station name from the XML response |
36
+ | `eva` | string | EVA station number (unique identifier) |
37
+ | `train_name` | string | Name of the train (e.g., "ICE 123", "RE 5") |
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+ | `final_destination_station` | string | Final destination of the train |
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+ | `delay_in_min` | integer | Delay in minutes |
40
+ | `time` | timestamp | Actual arrival or departure time |
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+ | `is_canceled` | boolean | Whether the train stop was canceled |
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+ | `train_type` | string | Type of train (e.g., "ICE", "IC", "RE") |
43
+ | `train_line_ride_id` | string | Unique identifier for the train ride |
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+ | `train_line_station_num` | integer | Station number in the train's route |
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+ | `arrival_planned_time` | timestamp | Planned arrival time |
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+ | `arrival_change_time` | timestamp | Actual/changed arrival time |
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+ | `departure_planned_time` | timestamp | Planned departure time |
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+ | `departure_change_time` | timestamp | Actual/changed departure time |
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+ | `id` | string | Unique identifier for the train stop |
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+
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+ ### Raw Data
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+
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+ 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.
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+
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+ **Schema:**
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+
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+ | Column | Type | Description |
58
+ |--------|------|-------------|
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+ | `timestamp` | timestamp | When the API request was made |
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+ | `url` | string | The API endpoint URL that was queried |
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+ | `api_name` | string | Name of the API (e.g., "timetables/v1/plan", "timetables/v1/fchg") |
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+ | `query_params` | string | JSON string of query parameters used |
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+ | `response_data` | string | Raw XML or JSON response from the API |
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+ | `status_code` | string | HTTP status code of the response |
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+ | `error` | string | Error message if the request failed |
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+ | `duration_ms` | float | Request duration in milliseconds |
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+ | `year` | integer | Year of the request (partition key) |
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+ | `month` | integer | Month of the request (partition key) |
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+ | `day` | integer | Day of the request (partition key) |
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+
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+ ## License
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+
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+ The dataset is licensed under [Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) by Deutsche Bahn.
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+
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+ ## Acknowledgments
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+
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+ Data sourced from Deutsche Bahn's public APIs. Special thanks to Deutsche Bahn for providing open access to this data.
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