4 datasets found

The General Language Understanding Evaluation (GLUE) dataset is a dataset used in the paper to evaluate the performance of natural language understanding models.

The SQuAD dataset is a benchmark for natural language understanding tasks, including question answering and text classification.

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...

Pre-trained language models (PrLM) have to carefully manage input units when training on a very large text with a vocabulary consisting of millions of words. Previous works have...