![]() Mitigating dataset harms requires stewardship: Lessons from 1000 papersĬonstructing a Visual Dataset to Study the Effects of Spatial Apartheid in South AfricaĪI and the Everything in the Whole Wide World Benchmark PASS: An ImageNet replacement for self-supervised pretraining without humans SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical EvaluationĮvaluating Bayes Error Estimators on Real-World Datasets with FeeBeeĭUE: End-to-End Document Understanding Benchmark KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects Generating Datasets of 3D Garments with Sewing Patterns We are really excited about their quality and potential impact. ![]() ![]() Further details about the motivation and setup are discussed in this blog post.īelow is the list of the 174 accepted submissions. This year, NeurIPS launched the new Datasets and Benchmarks track, to serve as a venue for exceptional work in creating high-quality datasets, insightful benchmarks, and discussions on how to improve dataset development and data-oriented work more broadly.
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