Objective, sensitive, and meaningful disease assessments are critical to support clinical trials and clinical care. Speech changes are one of the earliest and most evident manifestations of cerebellar ataxias. This data set contains features that be used to train models to identify and quantify clinical signs of ataxic speech. Though raw audio or spectorgrams cannot be release due to privacy concerns, this data set contains several OpenSMILE feature sets. Many labels, such as data collection dates and specific diagnoses, have been obfuscated or redacted to maintain privacy given the rarity of the diseases in the data.