Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems

Understand

This paper presents the Frames dataset (Frames is available at http://datasets.maluuba.com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per dialogue.

• We developed this dataset to study the role of memory in goal-oriented dialogue systems.
• Based on Frames, we introduce a task called frame tracking, which extends state tracking to a setting where several states are tracked simultaneously.
• We propose a baseline model for this task.