vaishali/spider-tableQA
Natural Language ProcessingTable Question Answering
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.
Source hugging_faceUpdated Feb 21, 2024137 viewsLinked
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