Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups Task. Given a detected zebra finch vocalization and the set of birds visible at that moment, determine which bird produced the call. Caller identity is verified physically from on body accelerometer vibration; the accelerometer channel is withheld from benchmark models and used only by an oracle ceiling. V33DA provides 33,625 verified vocalization events from 10 individually identified zebra finches across 3 experiments (2021–2023), each with synchronized 5 channel audio, multi view video, calibrated 3D pose for every visible candidate, per bird FM radio telemetry, and accelerometer derived ground truth labels. BP01 BP02 BP05 Total Birds 4 3 3 10 Events 16,219 11,577 5,829 33,625 Recording days 10 3 3 16 Raw hours ~46h ~14h ~14h ~74h Code: github.com/marisbasha/v33da · Companion release: songbirdini/v33da pp (V33DA++: overlap and longer context buckets) Quick start Or in Python: Loading a sample Each binary array column is serialized with numpy.save . To decode: The included explore.ipynb notebook shows how to inspect audio, video, pose, radio, and accelerometer dat…
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