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The P2ANET dataset is a large‑scale benchmark for dense action detection from table‑tennis broadcast videos. It consists of two parts: a raw dataset and a processed dataset, collected in two batches (v1 and v2). Video data were captured with an RGB monocular camera, and labels were obtained via manual annotation.
