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Supplementary Contents
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).
Rage against the machine: a California community rallied against a datacenter – and won
Monterey Park residents gathered at city hall on 21 January to speak out against the construction of a datacenter. Monterey Park residents gathered at city hall on 21 January to speak out against the construction of a datacenter. Sat 7 Feb 2026 11.00 ESTLast modified on Sat 7 Feb 2026 16.55 EST When a southern California city council proposed building a giant datacenter the size of four football fields last December, five residents vowed to stop it. Through a frenetic word-of-mouth campaign, the small group raised awareness about the proposed facility in Monterey Park, a small city east of Los Angeles known affectionately as the country's first suburban Chinatown. No Data Center Monterey Park organizers - working in tandem with the grassroots racial justice group San Gabriel Valley (SGV) Progressive Action - held a teach-in and rally that drew hundreds of participants, knocked on doors, and distributed flyers on busy streets.