TanQT24/SynTSBench
SynTSBench: A Synthetic Time Series Benchmark SynTSBench is a comprehensive synthetic time series benchmark dataset designed for evaluating machine learning models on various time series tasks. Dataset Structure The dataset is organized into distinct configurations based on different time series characteristics and column structures: anomaly: Synthetic time series data from Dataset_generated_anomaly with columns: Feature1, date autocorrelation_long_dependency:… See the full description on the dataset page: https://huggingface.co/datasets/TanQT24/SynTSBench.
| Author / organization | TanQT24 |
|---|---|
| License (as declared) | mit |
| Downloads | 257 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 May 2025 |
| Last updated at source | 14 May 2025 |
Recent changes
- 16 Oct 2026 Description: SynTSBench: A Synthetic Time Series Benchmark SynTSBench is a comprehensive synthetic time series benchmark dataset designed for evaluating machine learning models on various time series tasks. Dataset Structure The dataset is organized int → SynTSBench: A Synthetic Time Series Benchmark SynTSBench is a comprehensive synthetic time series benchmark dataset designed for evaluating machine learning models on various time series tasks. Dataset Structure The dataset is organized int
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