PyGraft is a tool designed to address the limitations of relying on a limited collection of datasets for evaluating model performance. It allows for the generation of highly customized, domain-agnostic schemas and KGs, ensuring logical consistency through DL reasoning. By providing a way to generate both schema and KG in a single pipeline, PyGraft aims to foster a more holistic evaluation of model performance beyond standard benchmarks. The tool is valuable for researchers working in data-sensitive fields with limited access to public datasets, enabling them to generate synthetic yet realistic datasets that mimic real-world characteristics.
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Önemli Bilgiler Şuradan Elde Edildi
by Nicolas Hube... : arxiv.org 03-07-2024
https://arxiv.org/pdf/2309.03685.pdfDaha Derin Sorular