preset
Datasets
All datasets matching “preset”RMBench-preset-gemini
RMBench-preset-gemini
RMBench training episodes (9 tasks, 450 episodes, 30 fps) with dense high-level labels produced by the TACOR offline annotator:
Gemini 3.7 Flash reads each whole episode as one video clip (one sample every 25 frames) and labels every sampled frame given only
the task's subtask preset (the ordered list of subtask labels, no further task-specific guidance). Each tick carries the current
subtask, the running textual memory and the visual-memory operations… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/RMBench-preset-gemini.RMBench-preset-luna
RMBench-preset-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 given only
the task's subtask preset (the ordered list of subtask labels, no further task-specific guidance). Each tick carries the current
subtask, the running textual memory and the visual-memory… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/RMBench-preset-luna.voicelabfx-presetsobject_retrieval-preset-gemini
object_retrieval-preset-gemini
Real-robot teleoperation episodes of the instance_retrieval task on a single-arm Franka Research 3 cell (80 episodes, 36,239 frames at 10 fps,
released as Myungkyu/object_retrieval) with dense high-level labels produced by the TACOR offline annotator:
Gemini 3.7 Flash reads each whole episode as one video clip (one sample every 10 frames = 1.0 s) and labels every sampled frame given only the
subtask preset of the task - the label list below… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/object_retrieval-preset-gemini.RoboDojo-preset-gemini
RoboDojo-preset-gemini
RoboDojo long-horizon episodes (8 tasks, 800 episodes, 25 fps) with dense high-level labels produced by the TACOR offline annotator:
Gemini 3.7 Flash reads each whole episode as one video clip (one sample every 25 frames) and labels every sampled frame given only the
subtask preset of the task: the label list of the task-specific context (its hybrid form, so some labels carry a coordinate slot),
without the context's boundary criteria, sequence rule or… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/RoboDojo-preset-gemini.object_classification-preset-gemini
object_classification-preset-gemini
Real-robot teleoperation episodes of the object_classification task on a single-arm Franka Research 3 cell (80 episodes, 28,569 frames at 10 fps,
released as Myungkyu/object_classification) with dense high-level labels produced by the TACOR offline annotator:
Gemini 3.7 Flash reads each whole episode as one video clip (one sample every 10 frames = 1.0 s) and labels every sampled frame given only the
subtask preset of the task - the label list… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/object_classification-preset-gemini.