| | --- |
| | license: mit |
| | task_categories: |
| | - time-series-forecasting |
| | tags: |
| | - time-series |
| | - forecasting |
| | - ts-arena |
| | - long-horizon |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | |
| | # Traffic Dataset |
| |
|
| | Part of the TS Arena benchmarking suite for time-series foundation models. |
| |
|
| | ## Description |
| |
|
| | Road occupancy rates from 862 sensors in San Francisco Bay Area |
| |
|
| | ## Statistics |
| |
|
| | - **Total samples**: 17544 |
| | - **Features**: 862 |
| | - **Train samples**: 12280 |
| | - **Validation samples**: 1755 |
| | - **Test samples**: 3509 |
| | - **Frequency**: 1 hour |
| |
|
| | ## Preprocessing |
| |
|
| | - Standard normalization (zero mean, unit variance) |
| | - Scaler fitted on training data only |
| | - Train/Val/Test split: 70%/10%/20% |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load a specific split |
| | train = load_dataset("ts-arena/traffic", split="train") |
| | val = load_dataset("ts-arena/traffic", split="validation") |
| | test = load_dataset("ts-arena/traffic", split="test") |
| | ``` |
| |
|
| | ## Source |
| |
|
| | [Autoformer Dataset Collection](https://github.com/thuml/Autoformer) |
| |
|
| | ## License |
| |
|
| | MIT |
| |
|
