TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity

• URL: http://arxiv.org/abs/2608.08119v1
• Date: Sat, 08 Aug 2026 13:10:18 GMT
• Title: TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity
• Abstract summary: We present a unified framework for benchmarking time-series dataset similarity methods.<n>Our work enables systematic and reproducible comparisons of time-series dataset similarity methods.<n>The effectiveness of TSDS-Toolbox is validated through comprehensive experiments under diverse experimental settings.
• Score: 72.26697105672062
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid advancement of artificial intelligence (AI) has significantly accelerated research in time-series analysis, particularly in forecasting, classification, and generation tasks. Recent models, especially foundation models, benefit from time-series dataset similarity due to its significant role in source dataset selection for fine-tuning. However, many existing implementations for benchmarking time-series dataset similarity methods are fragmented and difficult to extend. To address this, we present a unified framework, the Time-Series Dataset Similarity Toolbox (TSDS-Toolbox). Our work enables (1) systematic and reproducible comparisons of time-series dataset similarity methods; (2) flexible extensibility for users to add customized datasets, similarity methods, and downstream time-series tasks; and (3) consistent evaluation of both dataset-level and series-level similarity methods through integrated time-series dataset reducers. The effectiveness of TSDS-Toolbox is validated through comprehensive experiments under diverse experimental settings. Our toolbox is publicly available.

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