Fig. 1: Comparison of different QA datasets in different domains. | Communications Chemistry

Fig. 1: Comparison of different QA datasets in different domains.

From: Unveiling the power of language models in chemical research question answering

Fig. 1

Comparison of (a) general domain QA dataset BoolQ, (b) chemical domain dataset KGQA, and (c) our ScholarChemQA dataset. Our dataset is sourced from chemical research papers, in contrast to previous chemical datasets, which were artificially constructed. Our dataset contains text rich in domain-specific information, making it highly suitable for evaluation.

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