PubChemQA
Introduced by Luo et al. in BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
PubChemQA consists of molecules and their corresponding textual descriptions from PubChem. It contains a single type of question, i.e., please describe the molecule. We remove molecules that cannot be processed by RDKit [Landrum et al., 2021] to generate 2D molecular graphs. We also remove texts with less than 4 words, and crops descriptions with more than 256 words. Finally, we obtain 325, 754 unique molecules and 365, 129 molecule-text pairs. On average, each text description contains 17 words.
Benchmarks
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PubChemQA
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BioMedGPT-10B
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Papers
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