GenPlot: Increasing the Scale and Diversity of Chart Derendering Data
Brendan Artley
Vertical bars, horizontal bars, dot, scatter, and line plots provide a
diverse set of visualizations to represent data. To understand these plots, one
must be able to recognize textual components, locate data points in a plot, and
process diverse visual contexts to extract information. In recent works such as
Pix2Struct, Matcha, and Deplot, OCR-free chart-to-text translation has achieved
state-of-the-art results on visual language tasks. These results outline the
importance of chart-derendering as a pre-training objective, yet existing
datasets provide a fixed set of training examples. In this paper, we propose
GenPlot; a plot generator that can generate billions of additional plots for
chart-derendering using synthetic data.