5 datasets found

The Xlnet is a generalized autoregressive pretraining model for language understanding.

The Stanford Multi-turn, Multi-domain Dialogue Dataset is a dataset for language understanding in task-oriented dialogue systems. It contains a large number of training...

The Airline Travel Information System dataset (ATIS) is a dataset for language understanding in task-oriented dialogue systems. It contains 4978 training utterances from Class A...

The dataset is used for instruction-tuning of LLMs in multiple languages using reinforcement learning from human feedback.

This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding.