SNLI-VE

Texts

Visual Entailment (VE) consists of image-sentence pairs whereby a premise is defined by an image, rather than a natural language sentence as in traditional Textual Entailment tasks. The goal of a trained VE model is to predict whether the image semantically entails the text. SNLI-VE is a dataset for VE which is based on the Stanford Natural Language Inference corpus and Flickr30k dataset.

Source: https://github.com/necla-ml/SNLI-VE

Related Benchmarks

SNLI-VE test/Natural Language Inference/AccuracySNLI-VE val/Natural Language Inference/Accuracy