AI RESEARCH
Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
arXiv CS.LG
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ArXi:2605.12808v1 Announce Type: new Neuroscience data are highly fragmented across labs, formats, and experimental paradigms, and reuse often requires substantial manual effort. A persistent roadblock to data reuse and integration is the need to decipher bespoke and diverse data formatting choices.