Have you ever found yourself drowning in a sea of documents, manually sifting through resumes, invoices, or shipping labels, only to end up exhausted and frustrated by the inefficiency of it all?
Extracting data from scientific literature and constructing machine learning-ready (ML-ready) datasets is crucial for data-driven materials discovery. However, material properties under various ...
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