# data[].attributes.body
1. The guied warned us to look out for snakes.

2. Oba-Smith working in London

3. Tree, skyline, rain, twig, fuel.

# data[].attributes.body
1. Are the museums in Estonia free?

2. "Whashington, DC"

3. Blink, rooftop, close, context, stretch.

# data[].attributes.body
1. You shoudn't pack s many things.

2. "Lazy Jack"

3. Spin, hire, wipe, none, back.

# data[].attributes.body
1. Despite all the difficulties, we finnaly managed to pass the costoms controll.

2. "My trip to the land down under" by Geffrey Longhurst

3. Tray, entry, fine, port, harbour.

# data[].attributes.body
1. Bob started fixing his motorbike two hours ago and he's been fixing it ever since. Bob has been fixing his motorbike for hours.

2. "Tom Teaches Becky" by Mark Twain

3. Weak, heel, date, lane, kiss.

# data[].attributes.body
1. The packages were sent to the wrong adress.

2. "Victory for the siblings named "girl" and "boy" on passports"

3. Ways, issue, draft, confirm, reveal.

# data[].attributes.body
1. A sick child is being examined by the doctor.

2. "The tin that resisted the three men's attempts at opening it"

3. Resist, beef, jerk, till, dent.

# data[].attributes.body
1. You can't move on to the next level if you don't fill in all the gaps.

2. Sponsored walk is a fund raising walk for people in need.

3. Sponsor, overtake, lean, pace, supply

# data[].attributes.body
1. I am very high.

2. "Uniform tie, a stamp and a copy of New Journal go in Belsize Park shool's time capsule"

3. Wisdome, cone, depth, tin, firm

# data[].attributes.body
1. He won only one prize.

2. "The Foundling Museum"

3. Jewellery, archive, record, token, charm

# data[].attributes.body
1. He was very kind. Olivia asks very kindly.

2. "Meeting Andi" by Andrew Norriss

3. Gifted, boom, crazy, rapid, fondly

# data[].attributes.body
1. Do you play any sport. Do you practise football.

2."Sporting chance for all" by Camden New Journal.

3. Yoga, skip, jog, owe, avoid

# data[].attributes.body
1. What do you to for living?

2. " dream come true" by Mark Haddon

3. Pilot, lawyer, engine, misson, politics

# data[].attributes.body
1.Kimberly says that she prefer knitting over crocheting.

2.John Constable- was born into a wealthy family.
william Truner- is one of the best and most famous landscape painter of Britain.

3. Needel, mill, pitch, roof, clay

# data[].attributes.body
1. Mum asked dad if the keys where in the car.

2. "The great fire of London" by Samuel Pepys

3. Disaster, plague, effort, jail, damage

# data[].attributes.body
1. How much money you have?

2. "One Thousand Dollars" by William Sydney Porter

3. Taxi, yield, will, delay, safe