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The paper presents TSDS-Toolbox, a unified framework for measuring time-series dataset similarity, enabling systematic comparison, extensibility, and consistent evaluation of similarity methods.
This paper proposes a method for cross-table retrieval and alignment of heterogeneous numerical tabular datasets using statistical descriptors and sentence embeddings, enabling similarity matching and interpretable variable-level correspondence without shared column names.