7 datasets found

A new dataset for handling entailments with lexical and logical phenomena, called HELP, is introduced to investigate the shortcomings of neural models in monotonicity reasoning.

A large annotated corpus for learning natural language inference

The e-SNLI dataset is a large-scale dataset for natural language inference, with human-written explanations for each sample.

The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2.

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...