7 datasets found

Conversational recommendation dataset synthesized with persona- and knowledge-augmented LLM simulators.

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions.

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions.

Reddit Conversation dataset

Persona-Chat is sourced from authentic conversations between human annotators who are randomly matched and assigned persona information.

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.