A.2 Documentation and intended uses We include a datasheet [1] in Section B. Detailed documentation on the precise structure and content OpenProteinSet is made available under the CC BY 4.0 license. The authors bear all responsibility in case of violation of rights. OpenProteinSet will continue to be hosted on RODA for the foreseeable future. A.7 Alignment tool settings For JackHMMer, we used -N 1 -E 0.0001 -incE 0.0001 -F1 0.0005 -F2 0.00005 -F3 0.0000005 and then capped outputs at depth 5000. B.1 Motivation For what purpose was the dataset created?

The separation rates are faster inthelattercase.

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A.1 Motivation For what purpose was the dataset created? As an affiliated dataset, we created MIMIC-CXR-VQA to provide a benchmark for medical visual question answering systems. Who created the dataset (e.g., which team, research group) and on behalf of which Who funded the creation of the dataset? This work was (partially) supported by Microsoft Research Asia, Institute of Information & Communications Technology Planning & Evaluation (IITP) grant (No.2019-0-00075, RS-2022-00155958), National Research Foundation of Korea (NRF) grant (NRF-2020H1D3A2A03100945), and the Korea Health Industry Development Institute (KHIDI) What do the instances that comprise the dataset represent (e.g., documents, photos, EHRXQA contains natural questions and corresponding SQL/NeuralSQL queries (text). How many instances are there in total (of each type, if appropriate)? In EHRXQA, there are about 46.2K instances (16,366 image-related samples, 16,529 table-related samples, and 13,257 image+table-related samples).

Wu et al. use a feathered saturated mask to replace the light source.