# The DIDI dataset: Digital Ink Diagram data

arXiv: https://arxiv.org/abs/2002.09303 · HTML: https://mlsanity.com/paper/2002.09303/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Feb 2020.

## Built on by (most cited first, 5 of 5)

- [ChiroDiff: Modelling chirographic data with Diffusion Models](https://mlsanity.com/paper/2304.03785/) (2023)
- [Sketch-based Creativity Support Tools using Deep Learning](https://mlsanity.com/paper/2111.09991/) (2021)
- [Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach](https://mlsanity.com/paper/2401.03742/) (2024)
- [Visual Intelligence through Human Interaction](https://mlsanity.com/paper/2111.06913/) (2021)
- [IDraw: Artist Verification from Digital Drawing Images](https://mlsanity.com/paper/2608.01737/) (2026)

## Abstract (arXiv)

We are releasing a dataset of diagram drawings with dynamic drawing information. The dataset aims to foster research in interactive graphical symbolic understanding. The dataset was obtained using a prompted data collection effort.