Myungkyu/RMBench-taco-wodemo-luna
RMBench-taco-wodemo-luna RMBench training episodes (9 tasks, 450 episodes, 30 fps) with dense high-level labels produced by the TACOR offline annotator: GPT-5.6 Luna (gpt-5.6-luna) reads the frames of each episode sampled every 25 frames as labelled images and labels every sampled frame under a task-specific context (taco) for that task. Each tick carries the current subtask, the running textual memory and the visual-memory operations (keyframe store / retrieval) that the online… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/RMBench-taco-wodemo-luna.
dense-labelled episodes (TACOR release) part 6/6
dense-labelled episodes (TACOR release) part 5/6
dense-labelled episodes (TACOR release) part 4/6
dense-labelled episodes (TACOR release) part 3/6
dense-labelled episodes (TACOR release) part 2/6
dense-labelled episodes (TACOR release) part 1/6
initial commit
