Upload etth2 dataset

README.md

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+---
+license: mit
+task_categories:
+- time-series-forecasting
+tags:
+- time-series
+- forecasting
+- ts-arena
+- ETT
+size_categories:
+- 10K<n<100K
+---
+
+# ETTH2 Dataset
+
+Part of the TS Arena benchmarking suite for time-series foundation models.
+
+## Description
+
+Electricity Transformer Temperature dataset - Hourly variant 2.
+
+## Statistics
+
+- **Total samples**: 17420
+- **Features**: 7
+- **Train samples**: 12194
+- **Validation samples**: 1741
+- **Test samples**: 3485
+- **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/etth2", split="train")
+val = load_dataset("ts-arena/etth2", split="validation")
+test = load_dataset("ts-arena/etth2", split="test")
+```
+
+## Source
+
+[ETDataset](https://github.com/zhouhaoyi/ETDataset)
+
+## License
+
+MIT

scaler_params.json

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+{
+  "mean": [
+    39.52060407311169,
+    10.410631541093686,
+    45.14501175716976,
+    9.486279636166888,
+    -1.1224371016524122,
+    -2.1763390009669528,
+    28.8171697171258
+  ],
+  "std": [
+    9.961770217834955,
+    5.7186471235903635,
+    14.749576433681074,
+    3.9811078018999555,
+    5.596361364724503,
+    7.156498869993989,
+    11.403355472095315
+  ],
+  "feature_names": [
+    "feature_0",
+    "feature_1",
+    "feature_2",
+    "feature_3",
+    "feature_4",
+    "feature_5",
+    "feature_6"
+  ]
+}

test.parquet

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+size 64565

train.parquet

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+size 195686

val.parquet

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+size 36235