TSBench Dataset: A Benchmark for Time Series Stationarity and Structural Analysis
- Yayınlanma Tarihi: 12 Şubat 2026
- Versiyon: 1
- Üniversite / Kurum: Orta Doğu Teknik Üniversitesi
- Fon Sağlayan Organizasyon: ODTU Gap, TUBITAK 1001
- Araştırma Alanı: İstatistik , Temel Bilimler
Açıklama
TSBench is a large-scale synthetic benchmark dataset comprising 120,000 unique univariate time series, specifically designed to address the limitations of traditional statistical tests and the evaluation gaps in modern deep learning architectures, including Time Series Foundation Models and Large Language Models (LLMs).
TSBench is a large-scale synthetic benchmark dataset comprising 120,000 unique univariate time series, specifically designed to address the limitations of traditional statistical tests and the evaluation gaps in modern deep learning architectures, including Time Series Foundation Models and Large Language Models (LLMs).
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Yeniden Üretme Adımları
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Bu veri setini alıntılayabilirsiniz.
Yazıcı P. C., Erkaya P., Güzel İ., Karagöz P., Yozgatlıgil C., (2026), "TSBench Dataset: A Benchmark for Time Series Stationarity and Structural Analysis", Orta Doğu Teknik Üniversitesi AVESİS Veri, V1
- Versiyonlar
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Versiyon 1
12-02-2026
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Versiyon 3 (Yayında)
23-06-2026