ChartDialogs: Plotting from Natural Language Instructions
Yutong Shao, Ndapa Nakashole · 2020
This paper presents the problem of conversational plotting agents that carry out plotting actions from natural language instructions.To facilitate the development of such agents, we introduce CHARTDIALOGS, a new multi-turn dialog dataset, covering a popular plotting library, matplotlib.The dataset contains over 15, 000 dialog turns from 3, 200 dialogs covering the majority of matplotlib plot types.Extensive experiments show the bestperforming method achieving 61% plotting accuracy, demonstrating that the dataset presents a non-trivial challenge for future research on this task.