# data[].attributes.body
Not safety
Very dirty
Wet floors
cluttered
lot of water or oil on the floor

# data[].attributes.body
1.Dirty
2.NOT safety
3.Disorder
4.bad service

# data[].attributes.body
In the picture, chefs are busy with things may cause acident. The dishes are unclean a lot of things to clean, the floor is really dirty which will make acident as soon as it could be

# data[].attributes.body
1.the dishes are not washed.
2.No ventilation makes the kitchen smell.
3.Dirty floors can cause accidents.
4.look very busy.
5.bad equipment.

# data[].attributes.body
1. So dirty
2.Disorganized
3.it's chaotic
4.poorly managed
5.Bad services
6.Food is burn

# data[].attributes.body
Aisa Sato6430111019

Not enough people

Unsanitary ( rubbish, floor, dishes )

Not safe

# data[].attributes.body
- kitchen very dirty
- no safe enough
- no PPE
- equipment not clean
- no cooker hood

# data[].attributes.body
1.It very chaotic. 2.Very dirty. 3.no orderliness at work. 4.No management arrangements before opening. 5.Poor service,customers have to wait.

# data[].attributes.body
Dirty restaurant, unorganized, unorganized

# data[].attributes.body
-Dirty
-Bad management
-Dead air space
-Don’t have enough people
-Rough and tumble

# data[].attributes.body
1 very dirty
2 not safety
3 not communication​
4 in this picture, Not using a cutting board

# data[].attributes.body
1. Very dirty kitchen
2. Very unorganized
3. No cutting board for the chef
4. Messy, cardboard boxes on the floor
5. No fans, Bad ventilation
6. Wet floors
7. Trash bin near working area
8. Slow working, long lines
9. Not enough staffs
10. Dirty sinks

# data[].attributes.body
1 It's dirty and messy.
2The temperature of the frying pan is too high.
3There are cardboard boxes everywhere.

# data[].attributes.body
1. The kitchen is very dirty and messy. Not health. 2. If food is not cooked carefully, it will not taste good. 3. Not washing dishes in time.4. Poor service.

# data[].attributes.body
1 Dirty
2 Staff are tired
3 Not enough ventilation
4 Bad equipment
5 Staff lack of training
6 Nobody cleans dishes
7 The tray  are too heavy for stuff
8 Not enough staff

# data[].attributes.body
1.Bad equipment
2.slippery floor , it might hurts you
3.No PPE
4.No cutting board
5.The kitchen is a hot area
6.No cooker hood

# data[].attributes.body
1.The restaurant was dirty and full of rubbish
2.Staff is very tired
3.no enough air condition
4.no break
5.There is no manager to arrange everyone's work

# data[].attributes.body
1.The kitchen was very dirty
2.Employees don't have the equipment
3.A lot of water or oil on the floor
4.Many items are not in order
5.Bad equipment

# data[].attributes.body
1. Pile of dirty dishes
2. Slippery floor
3. Poor ventilation
4. Lack of labour force
5. Overfloowing garbage from trash can

# data[].attributes.body
1.dirty kitchen
2.bad personal hygiene
3.not enough ventilation
4.no PPE
5.not good enough about time management
6.lack of safety awareness

# data[].attributes.body
1.Dirty
2.cluttered
3.not safe
4.unmanaged and need more workers

# data[].attributes.headline
From the picture, try to find out any mistake that causes an accident in the kitchen/restaurant

# data[].attributes.subject
From the picture, try to find out any mistake that causes an accident in the kitchen/restaurant