# data[].attributes.body
1 dancing
2 running
3 shopping
4 swimming
5 go to school x
6 cooking
7 riding x
8 playing football
9 gym x
10 do aerobic
11 playing golf
12 sleeping
13 take a shower
14 learning
15 call a phone
16 play basketball
17 clean the floor
18 watching TV

7/10

# data[].attributes.body
1. a park
2. a jam X
3. a track
4.a pool
5. X
6. X
7. X

6/10

# data[].attributes.body
2/10

# data[].attributes.body
dancing
go running
go shopping
go Swimming
go walking
Cooking
go bike riding
play soccer
lift weights
do aerobics
play golf
sleep
take a shower
learn english
talk on the phone
play basketball
clean the house
watch TV

10/10

# data[].attributes.body
1. GO DANCING .
2. GO RUNNING .
3. GO SHOPPING .
4. GO SWIMMING .
5. GO WALKING .
6. COOKING .
7. GO BIKE RIDING .
8. PLAY SOCCER .
9. LIFT WEIGHTS .
10. DO AEROBICS .
11. PLAY GOLF .
12. SLEEP .
13. TAKE A SHOWER .
14. LEARNING ENGLISH .
15. CALLING .
16. PLAY BASKETBALL .
17. CLEAN THE HOUSE .
18. WATCH TV .x
10/10

# data[].attributes.body
4/10
dancer X
go running
go shopping
go swimming
go walking
do the cooking X
8. go bike riding
9. play soccer
10. Lift weights
11. yoga X
12. play golf
13.sleep
14. do the shower X
15. Study English
15. cell phone X
16. play baseketball X
17. clean the house
18. watch TV

# data[].attributes.body
1 dancing V
2 running V
3 go to the super market X
4 swimming V
5 go to school X
6 cooking V
7 ride a bike V
8 soccer V
9 gym X
10 do the excercise X
11 golf V
12 sleeping V
13 take a shower  V
14 learning ENGLISH V
15 call V
16 basketball V
17 clean the floor X
18 watching TV  ( a COUCH POTATO) V
5/10

# data[].attributes.body
1.dance
2.running
3.Shopping
4.swimming
5.walking
6.cooking
7.go bicycle - x
8.play fooball
9.weightlifting
10.do exercise - x
11. play golf
12. go to sleep
13.take a shower
14study english
15.Call
16.basketball
17.mopping - x
18.watching TV
7/10

# data[].attributes.body
Go dancing
Go running
Go shopping
Go swimming
Go walking
Do the cooking
Ride the bike/ go bike riding
Play soccer
Lift weights
Take a shower
Sleepping
Playing football
Watch tv
Shoping
Go to school
Play soccer
Do aerobics
Play gofl
Go sleeping/ sleep/go to bed
Take a shower
Learn/study English
Talk on the phone/ take a phone/call
Play basketballs
Clean the house
Watching TV

# data[].attributes.body
dancing X
running X
shopping X
go swimming
go walking
cook dinner
go bike riding
play soccer
lift weights
do aerobics
play golf
sleep
take a shower
study english
talk on the phone
play basketball
clean the house
watch tv
7/10

# data[].attributes.body
1. A PARK  .
2. A GYM .
3. A TRACK .
4. A POOL .
5. A ATHLETIC FIELD .
6. A GOLF COURSE .
7. A TENNIS COURT .

10

# data[].attributes.body
a park
a gym
ax
a pool
x
a golf course
a tenis course x
7/10

# data[].attributes.body
1. a park
2 a gym
3 x
4. A pool

5 x
6 x
7 An athletic field x
6/10

# data[].attributes.body
1 a park
2 a gym
3 a track
4 a pool
5 a X
6 a golf course
7 a tennis court
9/10

# data[].attributes.body
A PARK

A GYM
A TRACK
A POOL
An athletic field
A GOFL COURSE
A TENNIS COURT
10/10

# data[].attributes.body
1. A PARK
2. A GYM
3. A TRACK
4. A POOL
5. AN ATHLETIC FIELD
6. A GOLF COURSE
7.  A TENNIS COURT
10/10

# data[].attributes.body
a park
a gym
a track
a pool
a athletic field X
a goft course X
a tennis court
9/10

# data[].attributes.body
A Park
A Gym
A Pool
A Track
A Golf court ❌
A Tennis court
8/10

# data[].attributes.body
athletic field
gym
court
pool
track
1a
2b
3a
4a X
5b X
8/10

# data[].attributes.body
1. ATHIETIC FIELD
2. GYM
3. COURT. X
4. POOL
5. TRACK

1. A
2.A. X
3. B . X
4.A. X
5.A
6/10

# data[].attributes.body
1. ATHLETIC FIELD
2. GYM
3. COURT, COURSE
4. POOL
5. TRACK
6. A
7. B
8. A
9. B
10. A
10/10

# data[].attributes.body
1. athletic field
2. gym
3. court, course
4 pool
5. track
------------------
1 a
2 a ❌
3 a
4 b
5 a
9/10

# data[].attributes.body
1 athletic field
2 gym
3 court / course

4 pool
5 track
1 a
2 a x
3 b x
4 b
5 a
8/10

# data[].attributes.body
1 athletic field
2 gym
3 court-course
4 pool
5 track
1 a
2b
3a
4b
5a

10/10

# data[].attributes.body
1. ATHLETIC FIELD
2. GYM
3. COURT x
4. POOL
5. TRACK

1.a
2.b
3a
4a x
5a
8/10

# data[].attributes.body
1 ATHLETIC FIELD
2 A GYM
3 COURT/ COURSE
4 A POOL
5 A TRACK
6 A
7 A .x
8 A
9 B
10 B
8/10

# data[].attributes.body
1. athletic field  V
2. gym V
3. court - course V
4. pool V
5. track V
6. A V
7. a X
8 B X
9 a X
10 a V
7/10