AI2D-RST: A multimodal corpus of 1000 primary school science diagrams

AI2D-RST is a multimodal corpus of 1000 English-language diagrams that represent topics in primary school natural science, such as food webs, life cycles, moon phases and human physiology. The corpus is based on the Allen Institute for Artificial Intelligence Diagrams (AI2D) dataset, a collection of diagrams with crowd-sourced descriptions.

Building on the layout segmentation in AI2D, the AI2D-RST corpus presents a multi-layer annotation schema that provides a rich, graph-based description of diagram structure. The annotation was performed by trained experts.

Latest versions/subcorpora:
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams version 1.1
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Of this language corpus different versions/subcorpora are (or might be in the future) published in the Language Bank of Finland. The versions are available through the Language Bank Download Service and/or through the Korp concordance tool. The links to the different versions can be found from the list above.

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Krister Lindén
Researcher of the Month: Krister Lindén


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