# data[].attributes.headline
1.__________ is the tallest building in the world.

# data[].attributes.subject
1.__________ is the tallest building in the world.

# data[].attributes.body
2.In Assam,People have community dinner on the eve of their well known festival_____________.

3.The golden temple in ______________ runs the biggest langar or community Kitchen in the world.

4.The cutting of crops from the field is called_____________.

5.Farmers spray __________ in the field to kill the insects.

# data[].attributes.body
2.pungent taste   b.cinnamon

3.spice                    c.rake

4.Gurudwara       d. Apartments

5. C C T V             e.pepper

# data[].attributes.body
2.bihu
3.amritsar
4.harvesting
5.pesticide

# data[].attributes.body
1234

# data[].attributes.body
1234

# data[].attributes.body
1.Burjikhalifa

# data[].attributes.body
1)Burj khalifa

# data[].attributes.body
1. Burj Khalifa , 2. Bihu , 3. Amritsar , 4. Harvsting , 5. Pesticides

# data[].attributes.body
Gurudwara  --- langar
CCTV --- Apartments
Pepper --- Spiece
Pungent taste --- cinnamon
Wedding --- rake

# data[].attributes.body
1 Burj khalifa

# data[].attributes.body
1)Burj khalifa
2)Bihu
3) Amritsar
4) Harvesting
5) Pesticides

# data[].attributes.body
1. al burj khalifa 2. bihu 3. ambristar 4.harvesting 5. pesticides

# data[].attributes.body
1.weeding - c.rake
2.pungent taste - e.pepper
3.spice - b.cinnamon
4.Gurudwara - a.langar
5.CCTV - d.apartments

# data[].attributes.body
1.Burji khalifia
2.Bhiu
3,amritsar
4.harvesting
5.pesticides

# data[].attributes.body
1.Burj Khalifa
2.Bihu
3.Amristar
4.Harvesting
5.Pesticides

# data[].attributes.body
1.weeding ans rake 2. pungent taste ans pepper 3spice ans cinnamon 4. gurudwara ans langar 5.CCTV ANS APARTMENTS

# data[].attributes.body
1)Burj khalifa
2)Bihu
3) Amritsar
4) Harvesting
5) Pesticides

# data[].attributes.body
Manikanta

# data[].attributes.body
1 al Burj Khalifa 2 dinu 3 amdristar 4 harvesting 5 pesticides

# data[].attributes.body
1.Weeding ------ c. Rake 2.pungent taste------- e. pepper 3.Spice --------- b. cinnamon 4.gurudwara---------a. langer 5.CCTV---------d.apartments

# data[].attributes.body
1)rake
2)pepper
3) cinnamon
4)Langer
5) apartment

# data[].attributes.body
1.weeding-c,rake
2.pungent taste-e,pepper
3.spice-b cinnamon
4.gurudwara-langar
5.cctv-apartments

# data[].attributes.body
Gurudwara_langer cctv_aparlments pepper_spiece pungent taste_cinnamon
Wedding_rake

# data[].attributes.body
1.Buej khalifa
2.Bihu
3.Amrstar
4.harvesting
5.Pesticides