Published June 16, 2022 | Version v3

Benchmark Data Repositories: Lessons and Recommendations

  • 1. University of California, Irvine

Description

Our dataset "repository_survey" summarizes a comprehensive survey of over 150 data repositories, characterizing their metadata documentation and standardization, data curation and validation, and tracking of dataset use in the literature. In addition, "survey_model_evaluation" includes our findings on model evaluation for five benchmark repositories. Column descriptions and further details can be found in "README.pdf." The data are associated with our paper "Benchmark Data Repositories: Lessons and Recommendations." 

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README.pdf

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