BiTiSe Dataset: A Benchmark for Time Series Stationarity and Structural Analysis

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Erkaya P., Yazıcı P. C., Yozgatlıgil C., Karagöz P., Güzel İ.

  • Yayınlanma Tarihi: 23 Haziran 2026
  • Versiyon: 3
  • Üniversite / Kurum: Orta Doğu Teknik Üniversitesi
  • Fon Sağlayan Organizasyon: ODTU Gap, TUBITAK 1001
  • Araştırma Alanı: İstatistik , Temel Bilimler

Açıklama

BiTiSe 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).

BiTiSe 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).

Yeniden Üretme Adımları

  • Versiyonlar
  • Versiyon 1

    12-02-2026

  • Versiyon 3 (Yayında)

    23-06-2026

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