Datasetpublic

ts-arena/illness

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 from datasets… See the full description on the dataset page: https://huggingface.co/datasets/ts-arena/illness.

sourceHugging Facemitupdated 9mo agoView on Hugging Face

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Dataset Card

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

License

MIT