12 datasets found

This paper proposes a novel dialogue model with a latent structure that is easily transferable from the general domain to downstream tasks in a lightweight and transparent way.

The dataset is used for low-resource knowledge-grounded dialogue generation, where the goal is to generate responses to context based on external knowledge.

The dataset is used for document-grounded conversation, where the goal is to generate responses to context based on external knowledge.

The dataset is used for knowledge-grounded dialogue generation, where the goal is to generate responses to context based on external knowledge.

The dataset is used for knowledge-grounded dialogue generation, where the goal is to generate responses to context based on external knowledge.

The dataset is used for knowledge-grounded dialogue generation, where the goal is to generate responses to context based on external knowledge.

Open-domain neural dialogue generation (Vinyals and Le, 2015; Sordoni et al., 2015; Li et al., 2016a; Mou et al., 2016; Serban et al., 2016a; Asghar et al., 2016; Mei et al.,...

The ConvAI2 dialogue corpus is a dataset of personalized dialogues with corresponding persona descriptions.

Wizard of Wikipedia is a recent, large-scale dataset of multi-turn knowledge-grounded dialogues between a “apprentice” and a “wizard”, who has access to information from...

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

The Commonsense Conversation Dataset (CCD) is a dialogue generation dataset.

The dataset used in the paper is the Anthropic's HH-RLHF and OpenAI's summarization datasets.