Upload traffic dataset

README.md

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+---
+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

scaler_params.json

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