# data[].attributes.body
1. The bike is black.
2. The bike is old.
3. The bike looks dirty.
4. The bike seems cheap.

# data[].attributes.body
1. The center seems small.
2. The chairs look old but it actually feel comfortable when I sit on it.
3. The center’s snacks taste good, I like it.

# data[].attributes.body
The motorcycle Looks fast

The motorcycle is big

The motorcycle seems nice

# data[].attributes.body
The door is big.
The door is cute.
The door looks great.
The door feels hard.

# data[].attributes.body
1.The fan is good.
2. The fan is nice.
3. The fan looks fast.
4. The fan seems good.

# data[].attributes.body
My classmate is young and beautiful, her hair feels nice.
She looks smart.
She is always quiet.

# data[].attributes.body
1. The posters are beautiful.
2. The posters are big.
3. The posters seem good.
4. The posters look colorful.

# data[].attributes.body
1.The chair is big.
2.The chair is clean.
3.The chair seems small.
4.The chair looks clean.

# data[].attributes.body
1.The book is great.
2.The book is big.
3.The book looks blue.
4.The book seems clean.

# data[].attributes.body
1. The chair is good.
2. The chair is small
3. The chair seems hard.
4. The chair looks soft.

# data[].attributes.body
The dog seems cute
The dog looks dirty
The dog seems smelly