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Cornell Natural Language for Visual Reasoning Dataset

The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.



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Cornell Natural Language for Visual Reasoning Dataset

https://lil.nlp.cornell.edu/nlvr

The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.



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https://lil.nlp.cornell.edu/nlvr

Cornell Natural Language for Visual Reasoning Dataset

The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.

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      The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.
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      The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.
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      The Natural Language for Visual Reasoning corpora use the task of determining whether a sentence is true about a visual input, like an image. This task focuses on reasoning about sets of objects, comparisons, and spatial relations. This includes two datasets: NLVR, with synthetically generated images, and NLVR2, which includes natural photographs.
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