Cornell Natural Language for Visual Reasoning (NLVR and NLVR2)
Question AnsweringVisualEnglish
The Cornell Natural Language for Visual Reasoning (NLVR and NLVR2) dataset is a English question answering resource from Suhr et al. at 2019 comprising NLVR2 107,292; NLVR 92,244 examples.
About Cornell Natural Language for Visual Reasoning (NLVR and NLVR2)
Dataset contains two language grounding datasets containing natural language sentences grounded in images. The task is to determine whether a sentence is true about a visual input.
Details
- Task
- Question Answering, Visual
- Language
- English
- Format
- JSON
- Rows / instances
- NLVR2 107,292; NLVR 92,244
- Creator
- Suhr et al.
- Year
- 2019