Challenges of Quality Filters and Subjectivity in Data Curation

Exploring the unintended consequences of quality filters in data curation, revealing how biases favor privileged authors and overlook content from underprivileged regions. It challenges the notion of general-purpose models, emphasizing the impact of ideological biases in dataset curation.