Egocentric Household Activity Demonstrations — LeRobot

This dataset contains 8 single-camera egocentric household-activity demonstrations captured on head-mounted camera(no robot involved). Activities include folding clothes, hand-washing dishes, unloading the dish washer, making instant coffee, starting the washer, washing a coffee cup, transferring laundry from washer to dryer, and washing dishes. Each demonstration is packaged as a HuggingFace LeRobot dataset (single episode per demonstration) at480 × 640 portrait, 30 fps. Frame-level COCO-derived annotations are embedded as parquet columns alongside the video: 21-point 3D hand keypoints (left + right), hand visibility flags, top detected object class + confidence + bbox, segment-level action phase, and segment-level action verb. Using this dataset helps teams pretrain vision-language-action models on egocentric data, benchmark hand-object interaction perception, train action-recognition models, develop hand-keypoint regression heads, and bridge human-demonstration data into robot-learning pipelines.