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% WEIGHTED ILI
float32
-1.13
4.87
%UNWEIGHTED ILI
float32
-1.06
5.13
AGE 0-4
float32
-1.21
4.94
AGE 5-24
float32
-0.86
8.39
ILITOTAL
float32
-1.01
6.62
NUM. OF PROVIDERS
float32
-2.14
1.77
OT
float32
-1.87
1.8
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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 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

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