A Cartel of Influential Datasets Dominating Machine Learning Research

The article highlights a potential issue in machine learning research: the over-reliance on a small number of datasets. This can lead to a lack of diversity in research focus and potentially limit the generalizability of findings. The term "cartel" is a strong metaphor, suggesting a degree of control and potentially hindering innovation by favoring specific benchmarks.

• •A small number of datasets are disproportionately influencing machine learning research.
• •This dominance may limit the diversity of research topics and focus.
• •Over-reliance on specific datasets could hinder the generalizability of research findings.
• •The use of the term "cartel" suggests a potential for control and stifling of innovation.