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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