lil-lab/nlvr
Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.
This project helps researchers working on AI to teach systems how to understand the relationship between language and images. You provide a dataset containing visual inputs (like images) and corresponding sentences, and the project helps determine if the sentences accurately describe what's in the images. It's designed for AI/NLP researchers, computational linguists, and computer vision scientists developing new models for visual reasoning.
267 stars. No commits in the last 6 months.
Use this if you are a researcher developing AI models that need to reason about sets of objects, comparisons, and spatial relations between natural language descriptions and visual content.
Not ideal if you are looking for a tool to process and analyze images or text for business applications like content moderation or image search, as this is a research dataset.
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Last pushed
Aug 18, 2022
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