ettm1

Time series dataset: ettm1

Dataset Summary

Property	Value
Frequency	15分钟
Validation samples	1
Train samples	1
Test samples	1

Supported Tasks

• Time series forecasting
• Anomaly detection
• Classification (if applicable)

Languages

N/A (numerical data)

Dataset Structure

Data Instances

{
    "item_id": "example_series_0",
    "start": "2020-01-01T00:00:00",
    "target": [1.0, 2.0, 3.0, ...],
    "frequency": "1H",
    "metadata": "{...}"
}

Data Fields

Field	Type	Description
item_id	string	Unique identifier for the time series
start	string	ISO 8601 timestamp of the first observation
target	list[float]	Time series values
frequency	string	Pandas frequency string (e.g., '1H', '1D')
feat_dynamic_real	list[list[float]]	Time-varying covariates (optional)
feat_static_cat	list[int]	Static categorical features (optional)
metadata	string	JSON string with normalization params, etc.

Data Splits

Split	Examples
validation	1
train	1
test	1

Dataset Creation

Source Data

Download Method: unknown

Preprocessing

1. Data downloaded from original source
2. Missing values filled using forward-fill method
3. Standard normalization applied (mean=0, std=1)
4. Split into train/validation/test sets (70/10/20)
5. Converted to Parquet format for efficient streaming

Considerations for Using the Data

Social Impact

This dataset is intended for research purposes in time series forecasting.

Limitations

• Normalization parameters are computed on training data only
• Missing value handling may introduce artifacts
• Temporal alignment assumes regular intervals

Additional Information

Citation

@misc{unknown_dataset,
    title = {Unknown Dataset},
    url = {},
    year = {2024},
}

Contributions

This dataset was processed and uploaded as part of the TS Arena benchmarking project.

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Generated automatically by TS Arena streaming pipeline on 2026-01-03