Abstract
In response to the increased interest in machine learning to solve mathematical problems combined with the complexity inherent in computing Grobner bases, we create a Grobner basis database. Through this database we aim to provide a platform where researchers and practitioners can: obtain accurate and verified data on Grobner bases, submit interesting and important examples of Grobner bases, and obtain curated datasets for benchmarking, learning, and other common problems in the research community. Given the nascent stage of the database, new features are likely to be added on as it grows.
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