ResQ (Real-world Spatial Question Answering)
Introduced by Mirzaee et al. in Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
ReSQ is a real-world Spatial Question Answering dataset with human-generated questions built on an existing corpus with SpRL annotations. This dataset can be used to evaluate spatial language processing models in realistic situations.
Papers
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