9 datasets found

A multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants.

Parameter-efficient fine-tuning for natural language understanding tasks

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

The MASSIVE dataset is a comprehensive collection of approximately one million annotated utterances for various natural language understanding tasks such as slot-filling, intent...

TreeMix is a compositional data augmentation approach for natural language understanding. It leverages constituency parsing tree to decompose sentences into sub-structures and...

The Natural Instructions (NI) dataset used for evaluating the performance of the DEPTH model on natural language understanding tasks.

The Bing dataset is a large-scale dataset for natural language understanding and question answering.

The MS MARCO dataset is a large-scale dataset for natural language understanding and question answering.

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...