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2. ﻿﻿﻿first

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4. ﻿﻿﻿frustrated

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6. ﻿﻿﻿excited, busy

7. ﻿﻿﻿two blue

8. ﻿﻿﻿English

9. ﻿﻿﻿chores

10. ﻿﻿﻿﻿Three large, empty

11. ﻿﻿﻿﻿petty

12. ﻿﻿﻿﻿old, dry

13. ﻿﻿﻿﻿famous, Italian

14. ﻿﻿﻿﻿cold

15. ﻿﻿﻿﻿hot, mild

# data[].attributes.body
Adjective :

1. ﻿﻿﻿old, worthless

2. ﻿﻿﻿first

3. ﻿﻿﻿windy, fallen

4. ﻿﻿﻿frustrated

5. ﻿﻿﻿favorite

6. ﻿﻿﻿excited, busy

7. ﻿﻿﻿two blue

8. ﻿﻿﻿English

9. ﻿﻿﻿chores

10. ﻿﻿﻿﻿Three large, empty

11. ﻿﻿﻿﻿petty

12. ﻿﻿﻿﻿old, dry

13. ﻿﻿﻿﻿famous, Italian

14. ﻿﻿﻿﻿cold

15. ﻿﻿﻿﻿hot

# data[].attributes.body
1. ﻿﻿﻿old, worthless

2. ﻿﻿﻿first

3. ﻿﻿﻿windy, fallen

4. ﻿﻿﻿frustrated

5. ﻿﻿﻿favorite

6. ﻿﻿﻿excited, busy

7. ﻿﻿﻿two blue

8. ﻿﻿﻿English

9. ﻿﻿﻿chores

10. ﻿﻿﻿﻿Three large, empty

11. ﻿﻿﻿﻿petty

12. ﻿﻿﻿﻿old, dry

13. ﻿﻿﻿﻿famous, Italian

14. ﻿﻿﻿﻿cold

15. ﻿﻿﻿﻿hot, mild

# data[].attributes.body
1. Old

2. ﻿﻿﻿First

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4. ﻿﻿﻿Exhausted

5. ﻿﻿﻿Favourite

6. ﻿﻿﻿Excited

7. ﻿﻿﻿Blue

8. ﻿﻿﻿English

9. ﻿﻿﻿These

10. ﻿﻿﻿﻿Empty

11. ﻿﻿﻿﻿Petty

12. ﻿﻿﻿﻿Old

13. ﻿﻿﻿﻿Famous

14. ﻿﻿﻿﻿Cold

15. ﻿﻿﻿﻿Hot

# data[].attributes.body
1. Old,worthless

2. First

3. Windy,fallen

4. Frustrated

5. Favorite

6. Excited,busy

7. Two,blue

8. English

9. Finish

10. Three,Large

11. Petty

12. old,Dry

13. Famous,Italian

14. Cold

15. Hot,mild

# data[].attributes.body
1.old

2.first

3.windy,fallen

4.frustrated,exhausted

5.favorite

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7.two blue

8.English

9.these

10.Three large,empty

11.petty

12.dry

13.famous,Italian

14.cold

15.hot,mild

# data[].attributes.body
1. old, worthless

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14. cold

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# data[].attributes.body
1. old, worthless

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8. served

9. chores

10. three, empty

11. petty, stealthily

12. old, dry

13. famous

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15. hot, mild

# data[].attributes.body
Adjective

1.old, worthless

2.First

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5.Favourite

6.Excited

7.Two, blue

8.English

9.Finish

10.Three, large

11.Petty

12.Old, dry

13.Famous, Italian

14.Cold

15.Hot , mild

# data[].attributes.body
1. old, worthless

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7. two blue

8. English

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10. three large, empty

11. petty

12. old, dry

13. famous, italian

14. cold

15. hot, mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, faller

4. Frustrated, exhausted

5. Favourite

6. Excited, busy

7. Two, blye

8. English

9. These

10. Three,large, empty

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old

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8. served

9. finish

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12. old, dry

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14. cold

15. hot, mild

# data[].attributes.body
1. ﻿﻿﻿Old / worthless

2. ﻿﻿﻿sat /first

3. ﻿﻿﻿windy

4. ﻿﻿﻿frustrated / exhausted

5. ﻿﻿﻿favourite

6. ﻿﻿﻿excited

7. ﻿﻿﻿write / blue

8. ﻿﻿﻿served

9. ﻿﻿﻿finish

10. ﻿﻿﻿﻿quickly /large

11. ﻿﻿﻿﻿petty

12. ﻿﻿﻿﻿dry / old

13. ﻿﻿﻿﻿famous / italian

14. ﻿﻿﻿﻿cold

15. ﻿﻿﻿﻿hot / mild

# data[].attributes.body
1. old

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7. blue

8. English

9. finish

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12. old, dry

13. famous

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15. hot, mild

# data[].attributes.body
1. old

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# data[].attributes.body
1. Old

2. First

3. Windy

4. Frustrated, exhausted

5. Favorite

6. Excited

7. Two, blue

8. English

9. Chores

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited, busy

7. Two, blue

8. English

9. Chores

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old

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4. frustrated, exhausted

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# data[].attributes.body
1. old, worthless

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14. cold

15. hot, mild

# data[].attributes.body
1. old, worthless

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7. two blue

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12. old, dry

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15. hot, mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited, busy

7. Two, blue

8. English

9. Chores

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1.old, worthless

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# data[].attributes.body
1. old

2. First

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5. Favorite

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7. Two, blue

8. English

9. These

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. Old

2. Frist

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited

7. Two, blue

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9. These

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old, worthless

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10. three large

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12. old, dry

13. famous, Italian

14. cold

15. hot, mild

# data[].attributes.body
1. old

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8. brunch

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10. Three , large

11. petty

12. old , dey

13. Italian

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# data[].attributes.body
1) old, worthless

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9) these

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13) famous, Italian

14) cold

15) hot, mild

# data[].attributes.body
1) old, worthless

2) first

3) windy

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5) favourite

6) excited , busy

7) two , blue

8) english

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11) pretty, stealthily

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14) cold

15) hot , mild

# data[].attributes.body
1. Old, Worthless

2. First

3. Windy

4. Frustrated, Exhausted

5. Favourite

6. Excited

7. Pens

8. English

9. Finish

10. Large

11. Petty

12. Geologist

13. Famous

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15. Mild

# data[].attributes.body
1. Old

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8. English

9. Finish

10. Large,quickly , three

11. Petty

12. Old, dry

13. Famous

14. Cold

15. Hot, mild

# data[].attributes.body
1. Old, worthless

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5. Favourite

6. Excitesld, busy

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8. English

9. Finish

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited,busy

7. Two, blue

8. English

9. Finish

10. Three, Large

11. Petty

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old, worthless

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9. -

10. large, empty

11. petty

12. old, dry

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14. cold

15. hot, mild

# data[].attributes.body
1. Old, worthless

2. Fist

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited

7. Two blue

8. English

9. These

10. Three large

11. Petty

12. Old,dry

13. Italian

14. Cold

15. Hot,Mild

# data[].attributes.body
1. old

2. first

3. windy

4. frustrated, exhausted

5. favourite

6. exited

7. two, blue

8. brunch

9. finish

10. large

11. petty

12. dry

13. famous

14. cold

15. hot

# data[].attributes.body
1. Old , worthless

2. First

3. Windy , fallen

4. Frustrated , exhausted

5. Favorite

6. Excited

7. Two blue

8. English

9. Finish

10. Three large , empty

11. Petty

12. Old , dry

13. Famous , Italian

14. Cold

15. Hot , mild

# data[].attributes.body
1. old, worthless

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3. windy,weather

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5. favourite

6. excited, busy

7. two blue

8. english

9. chores

10. three large, empty

11. petty

12. old, dry

13. famous, italian

14. cold

15. hot, mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, many

4. Frustrated, exhausted

5. Favorite

6. Excited, busy

7. Two, blue

8. English

9. Finish

10. Three, large, empty

11. Petty, stealthily

12. Old, dry

13. Famous, Italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old

2. first

3. windy and fallen

4. frustated and exhausted

5. favourite

6. excited and busy

7. blue

8. English

9. these

10. large and empty

11. petty

12. old and dry

13. famous and Italian

14. cold

15. hot and mild

# data[].attributes.body
1. Old, worthless

2. First

3. Windy, fallen

4. Frustrated, exhausted

5. Favorite

6. Excited, busy

7. Two, blue

8. English

9. Finish

10. Three, large, empty

11. Petty

12. Old, dry

13. Famous, italian

14. Cold

15. Hot, mild

# data[].attributes.body
1. old

2. first

3. windy,fallen

4. frustrated,exhausted

5. fovorite

6. excited,busy

7. blue

8. English

9. these

10. large,empty

11. petty

12. old,dry

13. famous,italian

14. cold

15. hot,mild

# data[].attributes.body
adjectives

1. old

2. first

3. many

4. frustrated, exhausted

5. favorite

6. busy

7. two, blue

8. served

9. finish

10. three, large, quickly, empty

11. stealthily

12. old, dry

13. famous

14. cold, morning

15. hot, mild

# data[].attributes.body
1.old, worthless.

2.first.

3.windy,fallen.

4.frustrated.

5.favorite.

6.excited,busy.

7.two,blue.

8.english.

9.chores.

10.three,large,empty

11.petty.

12.old,dry

13.famous,italian

14.cold,morning

15.hot,mild

# data[].attributes.body
1. old, worthless

2. first

3. windy, many, fallen

4. frustrated, exhausted

5. favorite

6. excited, ran

7. two, blue

8. English

9. these

10. three, large, quickly, empty

11. petty

12. old, dry

13. famous,Italian

14. cold

15. hot, mild

# data[].attributes.body
1. Old

2. First

3. Windy

4. Frustrated, exhausted

5. Favourite

6. Excited, busy

7. Two

8. Brunch

9. Finish

10. Large, quickly

11. Stealthily

12. Old, dry

13. Famous

14. Morning

15. Hot, mild

# data[].attributes.body
1. old,worthless

2. first

3. windy,fallen

4. frustrated,exhausted

5. favorite

6. excited,busy

7. blue

8. english

9. these

10. large, empty

11. petty

12. old,dry

13. famous,italian

14. cold

15. hot,mild

# data[].attributes.body
1.old

2.first

3.windy, fallen

4.frustrated, exhausted

5.favourite

6.excited

7.blue

8.english

9.these

10.three, large

11.petty

12.old, dry

13.famous

14.cold

15.hot

# data[].attributes.body
1. old, worthless

2. first

3. windy, fallen

4. frustrated, exhausted

5. favorite

6. excited, busy

7. two, blue

8. brunch

9. finish

10. three, large, empty

11. petty, stealthily

12. old, dry

13. famous

14. cold, morning,

15. hot, mild

# data[].attributes.body
adjective

1. old

2. first

3. windy, fallen

4. frustrated

5. favorite

6. excited, busy

7. two, blue

8. brunch

9. finish

10. three, large, quickly

11. petty

12. old, dry

13. famous

14. cold

15. hot, mild

# data[].attributes.body
1. old.

2. first

3. windy, many

4. frustrated

5. favorite

6. excited

7. two

8. brunch

9. finish

10. three

11. petty

12. old, dry

13. famous

14. cold, morning

15. hot, mild peppers

# data[].attributes.body
1. Old / worthless

2. first

3. windy/fallen

4. frustrated /exhausted

5. favourite

6. excited

7.write

8. served

9.finish

10. large, empty

11. petty

12. old, dry

13. famous, Italian

14. cold

15. hot, mild

# data[].attributes.body
ACTIVITY 8

1) old

2) row

3) windy weather

4) frustrated, exhausted

5) favorite

6) excited

7) two blue

8) English

9) these

10) Three, large, empty

11) petty

12) that, old, dry

13) famous, served

14) cold

15) hot, mild