A language-conditioned bin-sorting teleoperation dataset on a single SO-101 arm,
collected for Project 2: Naive Bench — a hobbyist-oriented benchmark for comparing
robot manipulation policies (ACT, VLAs, …) under fixed compute/data constraints.
The task is deliberately designed to differentiate VLAs from ACT/WAMs: the bins are
arbitrary named targets (there is no color-matching rule), so the only way to route a
bar correctly is to read both slots of the… See the full description on the dataset page:
https://huggingface.co/datasets/binhpham/naive-bench-subtasks.
