---
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