Datasets:
File size: 960 Bytes
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license: mit
task_categories:
- time-series-forecasting
tags:
- time-series
- forecasting
- ts-arena
- long-horizon
size_categories:
- 1K<n<10K
---
# Illness Dataset
Part of the TS Arena benchmarking suite for time-series foundation models.
## Description
Influenza-like Illness weekly from CDC
## Statistics
- **Total samples**: 966
- **Features**: 7
- **Train samples**: 676
- **Validation samples**: 96
- **Test samples**: 194
- **Frequency**: 1 week
## 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/illness", split="train")
val = load_dataset("ts-arena/illness", split="validation")
test = load_dataset("ts-arena/illness", split="test")
```
## Source
[Autoformer Dataset Collection](https://github.com/thuml/Autoformer)
## License
MIT
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