Research data supporting "Question Answering System for Chemistry -- a semantic agent extension"

Name: Research data supporting "Question Answering System for Chemistry -- a semantic agent extension"
Published: 2022-06-07T11:57:27Z
Keywords: Question Answering, Semantic Web, Knowledge Graph, Semantic Agents

Zhou, Xiaochi; Nurkowski, Daniel; Menon, Angiras; Akroyd, Jethro; Mosbach, Sebastian; Kraft, Markus

doi:10.17863/CAM.78870

Research data supporting "Question Answering System for Chemistry -- a semantic agent extension"

Repository URI

https://www.repository.cam.ac.uk/handle/1810/337863

Repository DOI

https://doi.org/10.17863/CAM.78870

Files

EVALUATION RESULTS (18.06 KB)

Type

Dataset

Authors

Zhou, Xiaochi

https://orcid.org/0000-0002-4008-9965

Nurkowski, Daniel

Menon, Angiras

https://orcid.org/0000-0002-6810-2797

Akroyd, Jethro

https://orcid.org/0000-0002-2143-8656

Mosbach, Sebastian

https://orcid.org/0000-0001-7018-9433

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Description

This dataset contains the evaluation set of the questions and the detailed responses to those evaluation questions.

Software / Usage instructions

The source code is available at https://github.com/cambridge-cares/TheWorldAvatar (commit 619c92ba13065869cd7dc33d0db8351c1ada3c14). The project contains a docker file that can be used to create the software environment to reproduce the work described in the paper. The uploaded files contain the evaluation results described in the paper as JSON files.