A survey on machine learning data quality aims to address challenges related to data quality issues, such as the time spent finding and correcting errors in training data. Participants are encouraged to share information about the types of data they work with, the errors they encounter, and the tools they use. The anonymized survey responses will help guide discussions and solutions within the ML community, contribute to a free report with insights from experienced ML practitioners, and inform the development of a free instant ML data debugging tool. Additionally, a data quality event will be organized to discuss the survey findings with ML experts and data quality partners. Participants will receive an early copy of the report and have a chance to win Amazon gift cards as a token of appreciation.