Datasets:

ClarusC64
/

no_go_zone_compliance_v01

sample_id stringlengths 10 10	split stringclasses 3 values	modality stringclasses 2 values	scene_type stringclasses 9 values	sequence_id stringclasses 10 values	frame_index int64 0 45	container_id stringclasses 10 values	container_bounds stringclasses 2 values	boundary_type stringclasses 3 values	zone_id stringlengths 6 6	zone_type stringlengths 6 16	zone_status stringclasses 3 values	target_entity_id stringclasses 10 values	target_visibility stringclasses 2 values	target_expected_zone stringclasses 10 values	zone_violation bool 2 classes	occlusion_flag bool 2 classes	label_type stringclasses 3 values	drift_risk stringclasses 3 values	comment stringlengths 13 38
ngz_000001	train	image	factory_line	seq_0001	0	line_01	0 0 2560 1440	hard	zone_A	conveyor	allowed	crate_01	visible	zone_A	false	false	baseline	low	normal conveyor flow
ngz_000002	train	image	factory_line	seq_0001	1	line_01	0 0 2560 1440	hard	zone_B	maintenance_only	no_go	crate_01	visible	zone_A	true	false	zone_violation	high	crate placed in maintenance zone
ngz_000003	train	video	warehouse	seq_0002	12	wh_03	0 0 1920 1080	soft	zone_C	pedestrian_path	restricted	robot_07	visible	zone_D	true	false	zone_violation	medium	robot entering path with humans
ngz_000004	train	video	warehouse	seq_0002	13	wh_03	0 0 1920 1080	soft	zone_D	robot_lane	allowed	robot_07	visible	zone_D	false	false	baseline	low	robot back on assigned track
ngz_000005	train	image	lab_space	seq_0003	0	lab_01	0 0 1920 1080	hard	zone_E	biohazard	no_go	person_03	visible	zone_F	true	false	zone_violation	high	human crossing containment line
ngz_000006	train	image	lab_space	seq_0003	1	lab_01	0 0 1920 1080	hard	zone_F	observation_lane	allowed	person_03	visible	zone_F	false	false	baseline	low	correct position
ngz_000007	train	video	sports_pitch	seq_0004	30	pitch_02	0 0 1920 1080	soft	zone_G	referee_only	no_go	player_11	visible	zone_H	true	false	zone_violation	medium	player entering referee zone
ngz_000008	train	video	sports_pitch	seq_0004	31	pitch_02	0 0 1920 1080	soft	zone_H	play_zone	allowed	player_11	visible	zone_H	false	false	baseline	low	allowed space
ngz_000009	valid	image	construction	seq_0100	0	site_01	0 0 1920 1080	hard	zone_I	heavy_machinery	no_go	worker_04	visible	zone_J	true	false	zone_violation	high	worker next to active crane
ngz_000010	valid	image	construction	seq_0100	1	site_01	0 0 1920 1080	hard	zone_J	walkable	allowed	worker_04	visible	zone_J	false	false	baseline	low	correct safety compliance
ngz_000011	valid	video	hospital	seq_0200	18	ward_07	0 0 1920 1080	soft	zone_K	sterile_field	no_go	nurse_02	partial	zone_L	true	true	occlusion_test	high	partial occlusion inside sterile field
ngz_000012	valid	video	hospital	seq_0200	19	ward_07	0 0 1920 1080	soft	zone_L	staff_lane	allowed	nurse_02	visible	zone_L	false	false	baseline	low	returns to safe zone
ngz_000013	eval	image	airport	seq_0300	0	gate_03	0 0 2560 1440	hard	zone_M	security	no_go	bag_21	visible	zone_N	true	false	zone_violation	high	bag positioned past screening line
ngz_000014	eval	image	airport	seq_0300	1	gate_03	0 0 2560 1440	hard	zone_N	pre_screen	allowed	bag_21	visible	zone_N	false	false	baseline	low	correct container position
ngz_000015	eval	video	indoor_room	seq_0400	10	room_09	0 0 1920 1080	porous	zone_O	fragile_display	no_go	child_05	visible	zone_P	true	false	zone_violation	medium	child crossing rope barrier
ngz_000016	eval	video	indoor_room	seq_0400	11	room_09	0 0 1920 1080	porous	zone_P	visitor_lane	allowed	child_05	visible	zone_P	false	false	baseline	low	back in safe space
ngz_000017	eval	image	port	seq_0500	0	dock_01	0 0 2560 1440	hard	zone_Q	cargo_drop	no_go	worker_12	visible	zone_R	true	false	zone_violation	high	worker too close to suspended load
ngz_000018	eval	image	port	seq_0500	1	dock_01	0 0 2560 1440	hard	zone_R	markings	allowed	worker_12	visible	zone_R	false	false	baseline	low	correct alignment
ngz_000019	eval	video	airport	seq_0600	44	runway_02	0 0 2560 1440	hard	zone_S	runway	no_go	service_vehicle	visible	zone_T	true	false	zone_violation	high	vehicle on runway during takeoff prep
ngz_000020	eval	video	airport	seq_0600	45	runway_02	0 0 2560 1440	hard	zone_T	taxi_lane	allowed	service_vehicle	visible	zone_T	false	false	baseline	low	vehicle moving to allowed lane

ClarusC64/no_go_zone_compliance_v01

Dataset summary

This dataset checks whether models respect no-go zones inside a container.
A no-go zone is a region where entities must not appear for functional or safety reasons.
The dataset includes allowed zones, restricted zones, and no-go zones across multiple domains.

Core behavior tested

detect when an entity enters a no-go zone
classify zone status per frame
maintain zone compliance under occlusion
track transitions back to safe areas

Domains

factory lines (maintenance areas)
warehouses (pedestrian vs robot lanes)
labs (biohazard containment)
sports pitches (referee-only regions)
airports (runway vs taxi lanes)
hospitals (sterile fields)
construction sites (heavy machinery areas)

Key columns

zone_type: type of region inside the container
zone_status: allowed, restricted, or no_go
zone_violation: true if entity enters no_go
target_expected_zone: where the entity should be
drift_risk: likelihood of spatial failure

Sample failure questions

does the model treat restricted areas as normal?
does occlusion hide a violation?
does motion prediction cross forbidden boundaries?

Example usage

from datasets import load_dataset

ds = load_dataset("ClarusC64/no_go_zone_compliance_v01")

frame = ds["eval"][0]

print(frame["zone_id"], frame["zone_status"], frame["zone_violation"])

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