IncluSet: A Data Surfacing Repository for Accessibility Datasets
By Hernisa Kacorri, Utkarsh Dwivedi, Sravya Amancherla, Mayanka Jha, Riya Chanduka. 2020
20 citations recorded by the source corpus.
Datasets and data sharing play an important role for innovation, benchmarking, mitigating bias, and understanding the complexity of real world AI-infused applications. However, there is a scarcity of available data generated by people with disabilities with the potential for training or evaluating machine learning models. This is partially due to smaller populations, disparate characteristics, lack of expertise for data annotation, as well as privacy concerns. Even when data are collected and are publicly available, it is often difficult to locate them. We present a novel data surfacing repository, called IncluSet, that allows researchers and the disability community to discover and link accessibility datasets. The repository is pre-populated with information about 139 existing datasets: 65 made publicly available, 25 available upon request, and 49 not shared by the authors but described in their manuscripts. More importantly, IncluSet is designed to expose existing and new dataset contributions so they may be discoverable through Google Dataset Search.
Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging, Evaluation & Benchmarks, AI Ethics, Fairness & Society
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In Artificial Intelligence
- Katja Hofmann
- Daniela Massiceti
- Edward Cutrell
- Simone Stumpf
- Luisa M. Zintgraf
- John F. Bronskill
- Chelsea Finn
- Sergey Levine
In Evaluation & Benchmarks
Citations in the corpus
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition (2021, background): “Other high-variation datasets include those collected by people who are blind/lowvision [18, 41, 13] (see IncluSet for a repository of accessibility datasets [19]) however, most are not appropriate for few-shot learning.”
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors (2021, background): “The Incluset database [29], an online repository of datasets specifically curated for driving ML innovation in accessibility, has been released to address this challenge, bringing the broad diversity of datasets collected from persons with disabilities to researchers and practitioners.”