# data[].attributes.headline
Jimmy Rodriguez and Fernando Calle = 9,75 

# data[].attributes.subject
Jimmy Rodriguez and Fernando Calle = 9,75 

# data[].attributes.body
1 There are a lot of colors
2 There are a lot of people
3 There are a lof of leaves on the ground
4 There is a baby
5 There are a lot of ships
6 There is a monument
7 There aren't any animals
8 There are some trash bins
9 There is a bus
10 There are a lof of trees

# data[].attributes.headline
Israel Martínez and Maitté Orrala = 9,25

# data[].attributes.subject
Israel Martínez and Maitté Orrala = 9,25

# data[].attributes.body
1.There are a lot of trees
2.There are some cars
3.There is a monument
4.There isn’t a café
5.There areN'T any bicycles.
6.There are two motobikes
7.There are some signs.
8.There are three traffic lights
9.There are some air conditioners.
10. There isn’t a traffic police OFFICER.

# data[].attributes.headline
Daniel Quiñonez and Byrone Prieto = 9,75

# data[].attributes.subject
Daniel Quiñonez and Byrone Prieto = 9,75

# data[].attributes.body
1. There aren't any cars.
2. There is a camara.
3. There are a lot of cloths.
4. There are some advertising walls.
5. There is a security guard.
6. There are a lot of windows.
7. There are some chairs.
8. There isn't a book.
9. There are a lot of trees.
10. There are some backpacks.
11. There are no children.

# data[].attributes.body
1There is a plant
2There are some computers
3There are a lot of students of the university
4There is a big table

5There are a lot of chairs
6There are some backpacks
7There isn't a dumpster
8There are some electric conecctors SOCKET WALLS.
9There are some recyclable bottles
10There are a lot of black ceramics on the floor

# data[].attributes.headline
Nadia Caceres-Jean Pierre Paredes = 9,50 

# data[].attributes.subject
Nadia Caceres-Jean Pierre Paredes = 9,50 

# data[].attributes.body
1.There are a lot of trees
2.There is a disableD person
3.There are a lot of leaves
4.There aren't any cars
5.There are a lot of people with white shirtS
6.There are a lot of people
7.There are no pets
8.There are some children
9.There is a snack bar

10.There aren't any birds

# data[].attributes.body
1 There are a lot of people
2 There are some art pictures
3 There is a mural
4 There are some trash bins
5 There are a lot of tables
6 There are a lot of chairs
7 There are some kiosks
8 There is a freezer
9 There is a big chess on the floor
10 There are some cars

# data[].attributes.body
1.There are SOME recycleD  trash canS.
2.There is black  car.
3. There are  a lot people in the stairs.
4.There are two green busses.
5.There are  some people wearING sky blue closet.T-SHIRTS.
6.There is a  Guayaquil flag.
7.There aren't any animalS in THE middle OF the street.
8.There is a taxi.
9.There are  some threes.
10.There are IS a security guard.

# data[].attributes.body
1. There are some domestic animals.
2. There are a lot of stuffs THINGS over the table.
3. There are no people.
4. There are a lot of plants in the yard.
5. There is a cat's bed in the living room.
6. There is a desk with A white chair.
7. There are ______ pink  boxing gloves.
8. There is a picture of art.
9. There are _____ dumbbellS.
10. There are some PIECES OF furnitures.
11. There are no center tableS.

# data[].attributes.body
1.- There isn't A policeMAN.
2.- There are  a lot of people
3.- There are some children
4.- There are a lot of streetlights
5.- There are some palm trees
6.- There is a touristic map
7.- There aren't any babIES in the stairs
8.- There are a lot of houseS
9.- There aren't any  traffic lightS
10.- There is a monument

# data[].attributes.body
1. There is a microphone.
2. There are a lot of cables.
3. There is a computer.
4. There is a table.
5. There are  two speakers.
6. There is a TV.
7. There is a pedestal.
8. There are headphones.
9. There is an interface.
10. There are two books.