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The spider‑tableQA dataset is a resource designed for multi‑table question answering tasks, containing a total of 7,700 samples across training and validation splits. Each sample includes a query, question, table name, table content, answer, source and target. The dataset is intended for training and evaluating QA models capable of handling multi‑table operations, with an emphasis on generating tabular answers.
