xxcy12138/TSBench
TSDiag: A Decomposable Synthetic Benchmark for Diagnosing Time-Series Forecasting Models Dataset Description TSDiag is a synthetic time-series benchmark designed for diagnosing forecasting models beyond simple ranking. Each generator has a known Bayes-optimal predictor, enabling decomposition of forecasting error into four identifiable components: irreducible noise, architecture bottleneck, data insufficiency, and optimization variance. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/xxcy12138/TSBench.
| Author / organization | xxcy12138 |
|---|---|
| License (as declared) | mit |
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 May 2026 |
| Last updated at source | 7 May 2026 |
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- 17 Oct 2026 Description: TSDiag: A Decomposable Synthetic Benchmark for Diagnosing Time-Series Forecasting Models Dataset Description TSDiag is a synthetic time-series benchmark designed for diagnosing forecasting models beyond simple ranking. Each generator has a → TSDiag: A Decomposable Synthetic Benchmark for Diagnosing Time-Series Forecasting Models Dataset Description TSDiag is a synthetic time-series benchmark designed for diagnosing forecasting models beyond simple ranking. Each generator has a
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