AI RESEARCH
Limited Linguistic Diversity in Embodied AI Datasets
arXiv CS.CL
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ArXi:2601.03136v2 Announce Type: replace Language plays a critical role in Vision-Language-Action (VLA) models, yet the linguistic characteristics of the datasets used to train and evaluate these systems remain poorly documented. In this work, we present a systematic dataset audit of several widely used VLA corpora, aiming to characterize what kinds of instructions these datasets actually contain and how much linguistic variety they provide.