8 datasets found

The CB dataset is a benchmark for textual entailment tasks.

A dataset for visual entailment, where images are paired with sentences.

A dataset for grounded textual entailment, where images are paired with sentences.

The dataset used in the paper for Recognizing Textual Entailment (RTE) task, using Combinatory Categorial Grammar (CCG) parsing and Markov Random Fields (MRF) for inter-sentence...

The SCITAIL dataset is a textual entailment benchmark designed specifically for a real-world task: multi-choice question answering.

A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

SICK is a dataset for recognizing textual entailment (RTE), containing 4.5K/0.5K/5.0K train/dev/test examples. Each example consists of a hypothesis and a premise, and the goal...