# data[].attributes.body
plum: quả mận

tomato: cà chua

broccoli: súp lơ

strawberry: nho

pear: trái lê

spinach: rau chân vịt

lechuce: rau cải diếp

baby cavvage: cải mầm

cucumber: dưa leo

poultry: gia cầm

legumes: các loại đậu

some diet: các chế độ ăn

the Mushroom diet: chế độ ăn nấm (giảm cân)

the Vegan diet: ăn chay (better health)

the Atkins diet: ăn kiêng dài hạn (giảm cân)

the Juice fast: thức uống nhanh (better heath)

1. i see 4 diet the Mushroom diet, the Vegan diet, the Atkins diet, the Juice fast.

2. a diet are mushroom diet and juice fast.

3. a diet are vegan diet and atkins diet

i'm crazy about seafood: tôi cuồng ăn Hải sản

i'm a big meat eater:

i'm a big coffee drinker: tôi thich uống cà phê

i'm a chocolate addict: tôi nghiện ăn chocolate

i'm a pizza lover: tôi rất thích pizza

i can't stand fish

i'm not crazy about chocolate

i don't care for steak

i'm not much of a pizza eater.

i'm not much of a coffee drinker

# data[].attributes.body
1. 4:they are the mushroom diet, the vegan diet, the atkins diet, the juice fast

2. mushrooms diet,Atkinss diet

3. the vegan diet, juice fast

# data[].attributes.body
-there are 4 diet :The mushroom diet,the vegan diet,the atkins diet,the juice fast.

-

-atkins diet and juice fast

# data[].attributes.body
1. 4. the mushroom diet, the vegan, the atkins, the juice fast

2. the atkins diet and the mushroom.

3. the vegan and the juice fast

# data[].attributes.body
1.There are four

They are mushroom, vegan, atkins diet and juice fast

2.Two : mushroom and atkins diet

3.Two: vegan diet and juice fast

# data[].attributes.body
1.There are 4 discussion(

The Mushroom Diet:lose weight

The Vegan Diet: better health

The Atkins Diet: lose weight

The Juice Fast: better health

# data[].attributes.body
4 diet

Mushroom diet ( lose weight)

Vegan diet ( better health and POD)

Atkins diet ( lose weight )

Juice fast ( better health and POD)

# data[].attributes.body
4 diet

1. There are the mushroom diet, the vegan diet, the Atkins diet, the juice fast

2. There are the mushroom diet and the Atkins diet

3. The juice fast and the vegan diet.

Like:

I'm crazy about

I'm a big .... eater

I'm a big ... drinker

I'm a .... addict

I'm a .... lover

Dislike:

I can't stand ...

I'm not crazy about ...

I don't care for ...

I'm not much of a ... aeter

I'm not much of a ... drinker

# data[].attributes.body
1. four diet. There are The murhroom diet, the vegan diet, the juice fast, the asktins diet

2. the atkins diet

3. the mushroom Diet and the jucice fast

# data[].attributes.body
cau 1

the mushroom diet, the vegan diet, the atkins diet, the juice fast

cau 2: the atkins diet, the mushroom

câu 3: the juice fast,vegan

# data[].attributes.body
1. there are four. ,they are the mushroom diet,the vegan diet,the atkins,the juice fast

2. the mushroom, atkins diet

3. the vegan, the juice fast

# data[].attributes.body
1. 4 diet they are the vegan diet, the juice fast, the mushroom diet, the atkins diet.

2. the mushroom diet, the atkins diet.

3. the vegan diet,the juice fast

be crazy about

a big ... eater

a big ... drinker

a ... addict

a ... lover

can't stand ....

not be crazy about.....

not care for .......

not much of ..... eater

not much of .... drinker

# data[].attributes.body
4 diet:

the mushroom diet

the vegan diet

the atkins diet

the juice fast

the mushroom diet, and the atkins diet are good for lose weight

the vegan diet and the juice diet are good for a better health prevention of disease

# data[].attributes.body
4 the vegan diet

the atkins diet

the juice fast

the mushroom diet

the good for me lose weight: The vegan Diet

better health and prevention of dreave: The atkins Diet

# data[].attributes.body
1. salon

2. haircut

3. when

4. to day

5. 2 o'clock

6. early

7. available

-------------------

cosmetic surgery/plastic surgery: phẩu thuật thẩm mỹ

diet: chế độ ăn

cosmetics and makeups:

hair restoration: cấy tóc

spinach: rau chân vịt

lechuce: rau cải diếp

baby cavvage: cải mầm

cucumber: dưa leo

walnut: hạt óc chó

nuts: các loại hạt khô

bald: hói

liposuction: hút mỡ

face-lift: nâng mặt

wrinkles: nếp nhăn

aging: lão hóa

chemical peels: lột mặt

smooth: mịn màn

soft: mềm mại

dermatologist

---------------------

serious: nguy hiểm

aware: nhận thức

lightly: nhẹ nhàng

fitness editor: biên tập viên thể hình

-----------------------

# data[].attributes.body
1-salon 2-haircut 3-wait 4-today 5-2 o'clock 6- 7-

serious: nghiêm trọng

aware: biết

lightly:nhẹ nhàng

fitness editor: biên tập viên dinh dưỡng

# data[].attributes.body
-1

1 Salon

2

3 when

4 today

5 2 oclock

6

7

đúng 4

serious: nghiêm trọng

aware: biết

lightly: nhẹ

fitness editor: biên tập viên thể dục

# data[].attributes.body
+2 +1

1 Salon

2 Hair cut

3 when

4

5 2 o'clock

6 early

7 available

đúng 6

--------------

serious: nghiêm trọng

aware: nhận thức

lightly: nhẹ nhàng

fitness editor: hướng dẫn viên thể hình

đúng 4

# data[].attributes.body
2. c

3. when

4. c

5. 2 o'clock

7. c

đúng 2

-----------------------

1 serious: nghiêm trọng

2 aware: nhận thức

3 lightly: nhẹ

4 fitness editor: huấn luyện viên

# data[].attributes.body
1. salon

2. hair cut

3. when

4. two

5. actually

7. đúng 3

serious: nghiêm trọng

aware: nhận thức

lightly: nhẹ nhàng

fitness editor: biên tập viên về dinh dưỡng

đúng 4

# data[].attributes.body
1.salon

2.

3.when

4.

5.two o'clock

6.

7.for

---> đúng 3

--------

serious: nghiêm trọng

aware:nhận thức

lightly:nhẹ nhàng

futness editor:huấn luyện viên

# data[].attributes.body
+2

1.salon

2.

3.when

4.thanks

5.two o'clock

6.

7.for

--->3 đúng

serious: nghiêm trọng

aware: nhận thức

llightly : nhẹ nhàng

fitness editor: biên tập viên thể hình(pt)

# data[].attributes.body
1.salon

2.Haircut

3.When

5.Two o'clock

6. Early

7.Available

đúng 6

___________________________

Serious: nghiêm trọng

Aware: nhận thức

lightly nhẹ nhàng

fitness editor: biên tập viên thể dục

# data[].attributes.body
Cộng 2

--------

1 salon

2

3 when

4

5 2 oclock

6 early

7

Đúng 4

---------

serious: nghiêm trọng

aware: nhận thức

lightly: nhẹ nhàng

fitness editor: biên tập viên thể hình

---------

# data[].attributes.body
-1

1 salon

2

3 when

4

5 2 oclock

6 only

7

3/7

1. nghiêm trọng

2. nhận thức

3: nhẹ nhàng

4 hướng dẫn viên thể hình

# data[].attributes.body
-1

1. salon

2. c

3. when

5. two oclock

6. before

7. 3/7

1. serious: nghiem trong

2. aware nhan thuc

3. lightly nhe nhang

4. fitness aditor : nguoi sang tao the hinh

# data[].attributes.body
1 Salon

2 haircut

3 when

4 today

5 2 o'clock

6 early

7 (available)

Đúng 6

serious nghiêm trọng

aware nhậnthức

lightly nhẹ nhàng

fitness editor : biên tập viên thể hình và ăn uống

# data[].attributes.body
1. salon

2. haircut

3. when

4. today

5. two o'clock

6. early

7. (available)

Đúng 6

-------

serious: nghiêm trọng

aware: nhận thức

lightly: nhẹ nhàng

Fitness edittor: người sáng tạo thể hình

Đúng 3

# data[].attributes.body
1. salon

2. haircut

3. When

4. (TODAY)

5. 2 o'clock

6. early

7. (AVAILABLE)

--> ĐÚNG · 5/7

------------------

serious: nghiêm trọng

aware: cảnh giác

lightly: nhẹ nhàng

fitness editor: biên tập viên sức khỏe

đúng 3/4

-------------

1. that's a great idea.

2. unhappy

3. won't

# data[].attributes.body
1. swarm (Salon)

2. (haircut)

3. when

4. thanks (today)

5. 2:00

6. (early)

7. (availble)

-> đúng 2/7

------------------

Cosmetic Surgery : Phẫu thuật thẩm mĩ

Diet : Chế độ ăn

Do (exercise) : tập thể dục

Hair restoration : cấy tóc

bald : hói

Cosmetics and makeups : mỹ phẩm và đồ trang điểm

Facials : Chăm sóc da mặt

Face-lifts : Căng da mặt

smooth & soft : mịn và mềm

Liposuction : hút mỡ

Chemical peels : lột da hóa học

Dermatologist : bác sĩ da liễu

-----------------

Serious : nghiêm trong

aware : nhận biết

lightly: xem nhẹ

Fitness editor : Biên tập viên sức khỏe

---------------------

+1

# data[].attributes.body
1. any

2. many .

3. much .

4. any

5. any

6. many .

7. some

8. any

đúng 5

---------

# data[].attributes.body
1 any

2 many

3 a lot of

4 any

5 some

6 many

7 some

8 amy

đúng 5

# data[].attributes.body
Any

many

a lot of

any

any

much

some

any

# data[].attributes.body
1. any

2. lost of

3. a lot of

4. any

5. any

6. many

7. some

8. many

sai 3 / 8

# data[].attributes.body
1. any

2. many

3. a lot of

4. any

5. any

6. much

7. some

8. any

đúng 7

# data[].attributes.body
1. any

2. lots of

3. a lot of

4. any

5. any

6. much

7. some

8. any

ĐÚNG:8

# data[].attributes.body
1.any

2.lots of

3.much

4.any

5.any

6.much

7.some

8.any

# data[].attributes.body
1 many

2 lot of

3 a lot of

4 any

5 much some

--> đúng 3

# data[].attributes.body
many s

lots of d

much s

much s

many s

any s

any s

many s

Dung 1/8

*************************

any dùng trong câu hỏi, danh từ đếm đc, câu phủ định

lots of = a lot of danh từ ko đếm đc, danh từ đếm đc số nh

much dùng trong câu phủ định, danh từ ko đếm đc số nh

----------------------------------

# data[].attributes.body
1. any ✓

2. lots of ✓

3. a lof of ✓

4. any ✓

5. any ✓

6. much ✓

7. any ✗ (SOME)

8. any ✓

ĐÚNG : 7/8

# data[].attributes.body
1. any

2. lots of

3. a lot of

4. any

5. any

6. much

7. some

8. any

-> 8/8

--------------------------------

1.   When do you use “any”

We use ANY in question, count and non-count nouns

2.   When do you use “lots of”

We use LOTS OF in Affirmative (câu khẳng định), count and non-count nouns

3.   When do you use “a lot of”

We use A LOT OF in Affirmative (câu khẳng định), count and non-count nouns

4.   When do you use “ANY”

We use ANY in Negative (câu phủ định), count and non-count nouns

5.   When do you use “MUCH”

We use MUCH in Negative (câu phủ định), non-count nouns.

---------------------------

[some. khẳng định -> someone

any. phủ định / hỏi -> anyone]

----------------------------------

# data[].attributes.body
1. any

2. lots of

3. a lot of

4. any

5. some

6. much

7. some

8. any

# data[].attributes.body
1. any

2. lots of

3. a lot of

4. any

5. any

6. much

7. any

8. any

đúng 7/8

# data[].attributes.body
1. any

2. lots of

3. much

4. any

5. any

6. much

7. some

8. any

đúng 7

# data[].attributes.body
1. any

2.lots of

3.a lot of

4.any

5.some

6.much

7.some

8.any

correct 7/8

1 We use 'any' in questions, count and non-count nouns

2 We use 'lots of' in affirmative, count and non-count nouns

3 We use 'a lot of' in affirmative, count and non-count nouns

4 We use 'any' in negative, count and non-count nouns

5 We use 'any' in negative, count and non-count nouns

6 much

7 some

8 We use 'any' in negative, count and non-count nouns

# data[].attributes.body
+1

1 shampoo

2 soap

3 sunscreen

4 hand and body lotion

5 shaving cream

6 hairspray

# data[].attributes.body
+1

# data[].attributes.body
soap

sunscreen

hand and body lotion

face powder

toothpaste

shampoo

+1

# data[].attributes.body
+1

-------------------

A haircut: cắt tóc

A facial: chăm sóc da mặt

A shave: cạo râu

A manicure: chăm sóc móng tay

A pedicure: chăm sóc móng chân

Treatman: điều chỉnh

-----------------------

A Comb: cái Lược

A toothbrush: Bàn chải

A razor: dao cạo

A nail clipper: bấm móng tay

A nail file: dũa móng

A soap: Xà bông

Deodorant: lăn khử mùi

Shaving cream: kem cạo râu

Aftershave: nước hoa sau cạo râu

Toothpaste: kem đánh răng

Shampoo: dầu gội đầu

Hairspary: keo xịt tóc

Sunscreen: kem chống nắng

Dental floss: chỉ nha khoa

Soft skin/Body lotion: kem dưỡng da

Lipstick: thỏi son

Mascara: uốn mi

Eye shadow: bảng màu mắt

Face powder: phần nền

Nail polish: sơn móng tay

-----------------------

1. Spring rain - 1

2. Rose - 1

3. Pro-tech - 1

4. All over - 2

5. Scrubbie - 1

6. Maximum - 1

-------------------------

Hair care:

wax my hair: gội đầu

dry my hair: sấy tóc

comb my hair/brush my hair: chải tóc

Skin care:

wax my face: rửa mặt

clean my face: rửa mặt

put on sunscreen: bôi kem chống nắng

wear jacket: mặt áo khoác

Body care:

take a shower: tắm vòi sen

take a bath:tắm bồn

go to a sauna: đi tắm hơi

put on sunscreen: bôi kem chống nắng

wear a jacket: mặc áo khoát

Teeth care:

go to the dentist: đi tới nha sĩ

brush my teeth: đánh răng

i use... and... for my... every day

i use... and... for makeup... every day

# data[].attributes.body
1. 1

2. 1

3. 1

4. 2

5. 1

6. 1

+1

# data[].attributes.body
1 shampoo

2 soap

3 hand and body lotion

4 face powder

5 shaving cream

6 shampoo

# data[].attributes.body
1 shampoo

2 soap

3 sunscreen

4 hand and body lotion

5 toothpaste

6 hairpray

# data[].attributes.body
put on make-up

cushion

face powder

brush

eye-liner

make-ups

brochure

pt_personnal trainer

salon services

gym services

= fitness center

spa services

a. shampoo, every time you wash

b. soap, wash your hands with rose

c. sunscreen, pro-tect your skin, cloudy days, go out, from the sun

d. hand and body lotion, the soap making your skin dry

e. toothpaste, whiter teeth/dental cream

f. hairspray, windy day, maximum hold keep your hand in a place

# data[].attributes.body
PT = personal trainer : huấn luyện viên cá nhân

gym services = fitness center services : dịch vụ thể hình

spa services: dịch vụ spa

salon services : dịch vụ làm đẹp

toenails: móng chân

treatment: điều trị

appointment: đặt lịch

terrific=great

dressing area=fitting area=changing room: phòng thay đồ

wait a bit: đợi 1 chút

masseuse: thợ massage

--------------

1 shampoo

2 soap

3 sunscreen (S)

4 hand and body lotion

5 shaving scream

6 hairspray

6

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

----------

1. shampoo

2. soap

3. sunscreen

4. hand & body lotion

5. toothpaste

6. hairspray

-------------------------

haircut: cắt tóc

facial: chăm sóc da mặt

shave: cạo râu

manicure: chăm sóc móng tay

pedicure: chăm sóc móng chân

& MASSAGE~~

-----------------------

COUNT NOUNS (danh từ đếm được):

A Comb: cái lược (nam dùng)

a brush: lược nữ dùng

A toothbrush: Bàn chải đánh răng

A razor: dao cạo

A nail clipper: bấm móng tay

A nail file: dũa móng

------------------

NON-COUNT NOUNS (Danh từ ko đếm được)

soap: Xà bông

Deodorant: lăn khử mùi

Shaving cream: kem cạo râu

Aftershave: nước hoa sau cạo râu

Toothpaste: kem đánh răng

Shampoo: dầu gội đầu

Hairspary: keo xịt tóc

Sunscreen: kem chống nắng

Dental floss: chỉ nha khoa

Hand & Body lotion: kem dưỡng thể

-------------------------

MAKE UP

Lipstick: son

Mascara: uốn mi

Eye shadow: bảng màu mắt

Face powder: phần nền

Nail polish: sơn móng tay

-----------------------

HOW….

Hair care

I usually wash my hair, dry my hair and comb/brush my hair everyday

Skin care

I always Wash my face, clean my face, put on sunscreen, wear jacket … everyday.

Body care

I always take a shower/bath, go to the sauna, put on sunscreen, wear jacket everyday

Tooth care

I usually brush my teeth, go to the dentist everyday

------------------------------

USE

I use a…… and a ……for my skin/hair/body/teeth… everyday

# data[].attributes.body
1. shampoo

2. soap

3. sunscreen

4. hand and body lotion

5. shaving cream

6. hairspray

+1 +1

# data[].attributes.body
+1

1. shampoo

2. soap

3. sunscreen

4. hand and body lotion

5. toothpaste

6. hairspray

# data[].attributes.body
1. shampoo

2. soap

3. sunscreen

4. hand and body lotion

5. toothpaste

6. hairspray

# data[].attributes.body
A.

1. An SUV Yes

2. Minivan No, no minivan available

3. Compact car Yes

4. Luxury car No

# data[].attributes.body
1 SUV

2 Minivan

3 Compact car

4 Luxury car

------------------------------------------------------------

1 yes

2 no - no minivan avalibale

3 yes

4 no - the caller very young

# data[].attributes.body
A. LISTEN FOR DETAILS

1. S.U.V

2. MINIVAN

3. COMPACT CAR

4. LUXURY CAR

-----------------------------

B. LISTEN TO SUMMARIZE

1. GREAT

2. NO MINIVAN AVAILABLE

3. YES

4. NO, the called was to young

# data[].attributes.body
A.

1. suv, yes

2. minivan, no ( no minivan, at that time)

3. compact car, yes

4. luxury car, no ( not enough age)

----------

# data[].attributes.body
1 SUV Yes

2 minivan No,

3 compact YES

4 NO

# data[].attributes.body
A

1. SUV

2. minivan

3. compact car

4. luxury car

B

1. YES

2. NO. no minivan available

3. YES.

4. NO. Not enough age

# data[].attributes.body
A

1:suv

2: miniva car

3: compact car

4:

B

1:yes

2:No

3:yes,please

4: nineteen NO

# data[].attributes.body
1. SUV - yes

2. Minivan - No - the company didn't have a minivan available at the right time.

3. a compact car - yes

4. a luxury car - no -

# data[].attributes.body
1. SUV

2. minivan

3. compact car

4. luxury car

---------------

1. Yes

2. No. No minivan available/ The company didn't have a minivan available at the right time.

3. Yes

4. No.

# data[].attributes.body
A.

1. suv

2. minivan

3. compact car

4. luxury car

B.

1. yes

2. NO: the company didn't have a minivan avaiale at the right time.

3. yes

4. yes

# data[].attributes.body
A

1 a suv

2 a minivan

3 a compact car

4 A luxury car

=========

B

1 yes

2 no / bc the company didn't have a minivan available at the right time

3 yes

4 no

# data[].attributes.body
A

1 SUV

2 minivan

3 compact car

4 convertible

B

1 yes

2 no

3 yes

4 yes

# data[].attributes.body
A. 1. SUV

2. minivan

3. compact car

4. luxury =======================================

B. 1. Yes

2. No

3. Yes

4. No

# data[].attributes.body
1 - SUV

2 - Minivan

3 - Compact car

4 - luxury car

1 yes

2 no - no minivan available

3 yes

4 no - not enough age

# data[].attributes.body
1. I cant turn them on

2 I''ll drop off it at 10:00

3. which button turn off it

4. I can pick it up what time

5. Please fill it up.

đúng 2 câu

# data[].attributes.body
1. I can't turn them on.

2. I'll drop it off at 10:00.

3. Which it turn button off?

4. What time i can pick it up?

5. Please fill it up.

--> Đúng 3 câu

--------------------

Ms.Potter : a compact car

Ms.Park : a SUV

Ms.KIMURA: a station wagon

Mr.Lucena: a minivan-

Dr. Andrade: a luxury car

+2 điểm

--------------------

# data[].attributes.body
i can't turn on them

i'll drop it off at 10:00

which button turns it off

what time i can pick it up

please fill up it

ĐÚNG : 2

---------------------------

# data[].attributes.body
Turn on: mở khóa

Turn off: khóa

Fill up: đổ xăng

Drop off: đưa

----------------------

i can't turn on them

i'll drop it off at 10:00

Which it button turn off

What time i can pick it up

please fill it up

đúng 3

------------------

1. car type: compact car

2. car type: S.U.V

3. car typer: a station wagon

reason: she visiting national par

4. car type: minivan

5. car type: luxury car

reason: he go to dinner and after dinner-entertaiment

# data[].attributes.body
1 i can't turn on them

2 i'll drop it off at 10:00

3 Which button turns it off ?

4 what time i can pick it up ?

5 plesae fill it up

------3/5-----

------------

1 car types:A compact car

2 car types:An suv

3 car types: station wagon

4 car types:A minivan

5 car types:luxury car

# data[].attributes.body
1 I can't turn on them.

2 I'll drop it off at 10:00.

3 Which button does it turn off?

4 What time can I pick it up?

5 Please fill it up.

đúng 3

------

1 a compact car

2 a SUV

3 a station wagon

4 a full-size sedan

5 a sport car

# data[].attributes.body
1.I can't turn them on

2.I'll drop it off at 10:00

3.Which button tunrs it off

4.what time I can pick it up

5. Fill it up, please

=> 4 corrects

-------------------------------

a full-size sedan

a compact

a convertible

a sport car

a station wagon

a miniran/ran

a suv

a luxury car

---------------------------------

1.a compact

2.a suv

3.a station wagon

4. a minivan

5.luxury car

# data[].attributes.body
1. I can't turn on them -> S

2. i'ii drop off it at 10:00 -> S

3. which button turn off it -> S

4. I can pick it up what time -> S

5. Fill it up, please -> Đ

đúng 1

1. a compat car,

2. a SUV

3. a station wagon

4. a minivan

5. a luxury car

# data[].attributes.body
1. I can't turn on them

2. I'll drop off it at 10:00

3. Which button turn off it

4. What time I can pick it up

5. Fill it up, please.

----------

1. compact car

2. S.U.V

3. Station wagon

4. minivan

5. luxury car

# data[].attributes.body
1. i can't turn on them

2. i'll drop it off at 10:00

3. which it turn off button

4. what time can i pick it up

5. please fill it up

đúng 3

---------

1. compact car

2. a SUV

3. station wagon

4. minivan

5. luxury car

# data[].attributes.body
1. I can't turn on them

2. I'll drop it off at 10;00

3. Which it turn off button

4. What time i can pick it up

5. fill it up please

đúng 1

---------

1. compact car

2. a suv

3. a station wagon

4. minivan

5. luxury car

# data[].attributes.body
1. I can't turn them on

2. I'll drop off it at 10.00

3. Which button turns it off

4. what time i can pick up it

5. fill it up, please

----------------------

1. - a compact car

2. a SUV

3. a station wagon

4. minivan

5. a luxury car

# data[].attributes.body
turn on : đề máy xe/ khởi động xe.

turn off : tắt máy xe.

pick up : nhận chìa khóa xe/ nhận xe.

fill up : đổ xăng/ làm đầy.

gas trunk : bình xăng.

gas stration / petrol stration : cây xăng / chỗ đỗ xăng.

drop off : trả chìa khóa / trả xe.

1. I can't turn them on.

2. I'll drop it off at 10:00.

3. Which button turns it off.

4. What time I can pick it up.

5. Fill it up, please.

CAR TYPE:

a full-size sedan / dòng xe 4 chỗ có cốp phía sau.

a compact car / dòng xe 4 chỗ ko có cốp phía sau.

a convertible / dòng xe mui trần.

a sport car / dòng xe thể thao.

a station wagon / dòng xe bán tải.

a minivan / a van / dòng xe du lịch.

a SUV / S = sport, U = utility, V = vehicle / 4- wheel drive = 4 bánh hoạt động độc lập / dòng xe vượt địa hình.

a luxury car / dòng xe hạng sang.

1. a compact car.

2. SUV.

3. a station wagon.

4 a minivan

5 a luxury car

# data[].attributes.body
i can't turn on them.

i'll it drop off at 10:00

which turn off it button

what time i can pick it up

fill it up please

0/5

1: a compact car

2: a full-size sidan

3: a station wagon

4: a covertibe

# data[].attributes.body
1 i can not turn on them

2 i will drop off it at 10

3 which turns off it button

4 what time i can pick it up

5 fill it up please

0/5

1 a compact car

2 suv

3 station wagon

4minivan

5 luxury car

# data[].attributes.body
1. I can't turn them on

2. I'll drop it off at 10:00

3. Which button turns it off

4. What time I can pick it up

5. Fill it up, please

5/5

-------------

1. compact car

2. S.U.V

3. station wagon

4. minivan

5. luxury car

# data[].attributes.body
1. I can’t turn them on

2. I’ll drop it off at 10:00

3. Which button turns off it?

4. What time I can pick it up?

5. Fill it up, Please

Đúng 3

---------------------------

1. compact car

2. a full-size sedan

4. a minivan

# data[].attributes.body
was not paying attention - had

didn't stop - was not wearing

were talking - damaged

was driving - occurred

were they standing - saw

-------

1 had

2 was driving

3 was not paying

4 waiting

5 rang

6 answered

7 stopped

8 hit

9 was learning

10 was not speeding

11 had

----

1 on the street

2 the car driving speed

3 yes , this is motor biker

4 the car collide the moto

5 i wait back home

6 i look and go to my home

7 shouldn't go on the street

8

# data[].attributes.body
1:I was not paying atenion,had

2: did not stop, was not wearting

3:was calling,damaged

4:was driving, accured

5:were,standing

1: had

2: was driving

3: was paying

4: waiting/was waiting

5: ring

6: answed

7: did not stop

8:hit

9:was learing

10: was not speeding

11:had

đúng 5/11

1: the accident on the street

2: when i was coming home

3: the drive motorbike hurt

4: car hit motorbike

5:when u saw the accident i call ambulance

6: yes,I did

7: After saw the accident i learned keep in speed down and passing a pasing zone

8: truck

the motorbike stopped succdaly and hit a car

# data[].attributes.body
1. was not paying attention - had

2. did not stop - was not wearing

3. was talking - damaged

4. was driving - occurred

5. were - standing - saw

---------------

had

was driving

was paying

waited

ringed

stoped

hit

was learnning

not speeded

5/11

-----------------

1. It was on the street

2. when I was coming home, i saw the accident

3. yes, the motobiker an accident because

4. the motobike stopped suddenly, and hit the car because the car was speeding motobiker.

5. I was riding motobiker to go home when I saw this accident.

6. Yes, I did, I called the ambulance

7. I

# data[].attributes.body
1 was not paying attention - had

2 did not stop - was not wearing

3 was talking - damaged

4 was driving- occurred

5 were - standing-saw

------------------------

1 had Đ

2 was driving Đ

3 was paying Đ

4.waited

5 rang Đ

6 answered Đ

7 stopped Đ

8 hit Đ

9 was learning

10 was speeding

11 had Đ

đúng 8

--------

The accident was on the street

The accident was a motorbike hit a car

a motorbike was hurt

A car speeded and listen to music

I called ambulane

Learned after me saw the accident is

# data[].attributes.body
1.was not pay attention , and i had an accident

2.didn't stop, was not wear

3.was talking,damaged

4.was driving, occurred

5.wers, standing, saw

-----------

1.had

2.was driving

3.was paying

4.waited

5.rang

6.was answer

7.stop

8.hit

9.learned

10.was not

11. had

đúng 7

----------------

1.It was on the street

2. when i coming home i saw the accident

3.the motorbiker

4.the motorbike stopped suddenly, and hit the car because the car was speeding.

5.i was riding motorbike to go home when i saw this accident

6.yes, i did i callled the ambulance

7. control your speel and wear a helmet

# data[].attributes.body
1 was not payong attention, had

2 didn't stop, wasn't wearing

3 was talking, damaged

4 was driving, occurred

5 were standing, saw

------------------------

1 had, 2 was driving, 3 was paying, 4 was waiting, 5 rang, 6 answered, 7 was stopping, 8 hit, 9 learn, 10 didn't speed, 11 had

đúng 10/11

# data[].attributes.body
wasn't paying attention / had

didn't stop / wasn't wearing

was talking / damaged

were driving / occurred

were / standing / saw

----------------

1. had

2. was driving

3. was paying

4. was waiting

5. rang

6. was answering

7. did stop

8. hit

9. was learning

10. wasn't speeding

11. had

sai 4

--------------

1. It was on the street

2. When I was coming home

3. Yes, Motorbiker

4. the car lead to hit the motorbike

5. when I go home

6. I help the motorbiker call ambulance

7. I learned shouldn't weave through traffic and don't speed

8. Speed, weave through traffic