32 datasets found

Medical Visual Question Answering (VQA) is an important challenge, as it would lead to faster and more accurate diagnoses and treatment decisions. Most existing methods approach...

Human speech data comprises a rich set of domain factors such as accent, syntactic and semantic variety, or acoustic environment.

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

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

RealToxicityPrompts constitutes a collection of 100k naturally occurring sentences, amassed from various internet sources and designed to function as LM prompts.

The DailyDialog dataset is a large-scale multi-turn dialogue dataset, consisting of 10,000 conversations with 5 turns each.

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...

The SHP dataset is used to evaluate the performance of the proposed Compositional Preference Models (CPMs).

The HH-RLHF dataset is used to evaluate the performance of the proposed Compositional Preference Models (CPMs).

A dataset for training language models to perform tasks such as question answering and text classification.

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...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a condensed representation of LLM activations obtained from sparse...