Datasets:

ClarusC64
/

clarus_handgrip_room_v1

id stringlengths 9 9	video_path stringlengths 19 19	object_class stringlengths 3 14	grip_type stringclasses 4 values	container_type stringclasses 5 values	outcome stringclasses 5 values	occlusion_frames stringclasses 9 values	persistence bool 2 classes
clip_0001	data/train/0001.mp4	ceramic_mug	power	table	success	null	true
clip_0002	data/train/0002.mp4	plastic_bottle	precision	table	slip	12-28	true
clip_0003	data/train/0003.mp4	cardboard_box	pinch	conveyor	collision	7-15	false
clip_0004	data/train/0004.mp4	metal_tool	lateral	shelf	success	null	true
clip_0005	data/train/0005.mp4	glass_jar	power	table	drop	19-33	true
clip_0006	data/train/0006.mp4	book	pinch	drawer	miss	4-9	false
clip_0007	data/train/0007.mp4	ball	precision	free_space	success	null	true
clip_0008	data/train/0008.mp4	ceramic_plate	power	table	slip	10-22	true
clip_0009	data/train/0009.mp4	remote_control	lateral	shelf	collision	14-18	false
clip_0010	data/train/0010.mp4	phone	pinch	table	success	null	true
clip_0011	data/train/0011.mp4	stapler	power	conveyor	drop	21-35	true
clip_0012	data/train/0012.mp4	pen	precision	drawer	miss	5-11	false
clip_0013	data/train/0013.mp4	small_box	power	table	success	null	true
clip_0014	data/train/0014.mp4	scissors	lateral	shelf	slip	9-16	true

Overview

Short video clips of hand grips in rooms.
Each clip links grip, object, and container.
Designed to expose drift when space is treated as optional.

14 example clips in v0.1
mp4 videos, 2–8 seconds
csv annotation (id, path, class, grip, container, outcome, occlusion, persistence)

data/ train/
annotations.csv
README.md

Include link to this page if you publish results.

Pull request with improvements or new clips welcome.