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Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]
|
Browns Cambridge is a French coffee shop that is kid friendly with a riverside view near Crown Plaza Hotel
|
task957_e2e_nlg_text_generation_generate
|
task957-9675a803e4db472b99c2ac8b9f4f9331
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Green Man], food[English], priceRange[moderate], area[city centre], familyFriendly[yes], near[All Bar One]
|
Located in city centre near All Bar One, is a kid friendly restaurant called The Green Man. It has moderate price range and serves English food.
|
task957_e2e_nlg_text_generation_generate
|
task957-99d1041d88d54bc5b7e506a6ccb5e7fd
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre]
|
A Japanese food restaurant in the city centre area is called The Phoenix, they serve Japanese food with a lower customer rating. The prices are more than £30.
|
task957_e2e_nlg_text_generation_generate
|
task957-05d1486da8dd4a788e9e67441920a0ba
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Plough], eatType[pub], food[Fast food], priceRange[less than £20], familyFriendly[no], near[Café Rouge]
|
There is an affordable pub The Plough located near Café Rouge that serves fast food. It is not a family friendly restaurant.
|
task957_e2e_nlg_text_generation_generate
|
task957-7b4ab83dc9294716944bf90d8def4ad4
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Curry], food[Japanese], customer rating[3 out of 5], familyFriendly[yes]
|
There is a 3 out of 5 rated, kid friendly restaurant called The Golden Curry.
|
task957_e2e_nlg_text_generation_generate
|
task957-01d9d49d957e4ae7b54e64097c4b6946
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes]
|
The Waterman serves Chinese in the high price range, with an average customer rating. It is located in the city center and is children friendly.
|
task957_e2e_nlg_text_generation_generate
|
task957-f5c6c8126b8e432ea0f23e92235630a6
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Curry], food[English], priceRange[moderate], familyFriendly[no], near[The Bakers]
|
The Golden Curry, an English restaurant in a moderate price range that is not kids friendly is situated near The Bakers
|
task957_e2e_nlg_text_generation_generate
|
task957-ebc630e35d2e48b5a4722e41efc32e9a
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Green Man], eatType[restaurant], area[riverside]
|
There is a restaurant Green Man in the riverside area.
|
task957_e2e_nlg_text_generation_generate
|
task957-72fe4c41217c45008eeef9c66ef9d6bd
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Zizzi], eatType[restaurant], priceRange[high], area[riverside]
|
Down by the riverside there's a restaurant Zizzi with a high price range.
|
task957_e2e_nlg_text_generation_generate
|
task957-ba1bfcc6fb134c1aad562b89e1744d3c
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]
|
Fitzbillies is a coffee shop serving Japanese food at moderate prices. They are kid friendly and have a low customer rating of 1 out of 5.. They are located in the city centre.
|
task957_e2e_nlg_text_generation_generate
|
task957-df253db5ac9d4057805e646ec3a9b977
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Mill], eatType[pub], food[French], priceRange[less than £20], area[riverside]
|
The Mill pub has a price range of less than £20 serving French food and is located near the riverside area.
|
task957_e2e_nlg_text_generation_generate
|
task957-e29d3f9f194c40d7a8e3b891385b1f69
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Olive Grove], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[yes]
|
The Olive Grove offers Japanese food for less than 20 pounds. It is family friendly and on the riverside.
|
task957_e2e_nlg_text_generation_generate
|
task957-ded8bb74e5ee436bbb642dc071250108
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Alimentum], food[Italian], priceRange[moderate], area[riverside], familyFriendly[no]
|
Alimentum offer Italian food at a moderate cost by the riverside. Unfortunately kids are not permitted.
|
task957_e2e_nlg_text_generation_generate
|
task957-2407d82d76d24724ae7a29138f82fc23
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Cotto], food[Fast food], customer rating[average], familyFriendly[yes], near[Ranch]
|
Cotto near Ranch has average rated fast-food and is a family-friendly place.
|
task957_e2e_nlg_text_generation_generate
|
task957-85c7befa79394573900b1442f44e22e6
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Fitzbillies], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes]
|
Fitzbillies is the place to be with a 5 out of 5 rating. For cheap prices its a great coffee shop to take the whole family and dine on some French cuisine , located in city center.
|
task957_e2e_nlg_text_generation_generate
|
task957-177b1de5be51406093a6a6ba67cfb321
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Punter], priceRange[cheap], area[riverside], familyFriendly[yes], near[The Portland Arms]
|
In the riverside area near The Portland Arms, The Punter is a choice that is both frugally priced and family friendly.
|
task957_e2e_nlg_text_generation_generate
|
task957-5409d97dea994147926114582d11a6c6
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside]
|
The Golden Palace is a coffee shop that provides Italian. It is located by the riverside with an average customer rating and a high price range.
|
task957_e2e_nlg_text_generation_generate
|
task957-510b54a0f2b64fba9a017700bc0c3af0
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Blue Spice], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no]
|
Near the river, there is an inexpensive adult restaurant called Blue Spice.
|
task957_e2e_nlg_text_generation_generate
|
task957-6ed61e3150fd42aab2d17b065248a992
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Browns Cambridge], food[French], priceRange[cheap], customer rating[5 out of 5]
|
The French restaurant Browns Cambridge is cheap and has a great customer rating of 5 out of 5.
|
task957_e2e_nlg_text_generation_generate
|
task957-0cda5074b28e4cbb98713d6f7b1daadf
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]
|
Fitzbillies is a riverside fast food restaurant and coffee shop in Cambridge. Customers rate it as average, it is higher priced and does not welcome children.
|
task957_e2e_nlg_text_generation_generate
|
task957-b53d55ee3f58423da0f49f0c2c2ddf18
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Twenty Two], food[Indian], area[riverside], familyFriendly[yes]
|
The Twenty Two serves Indian food. It is on the riverside and is kid friendly.
|
task957_e2e_nlg_text_generation_generate
|
task957-dc6b313bfca445bc87f646d25c43d4a5
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Rice Boat], food[English], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
|
The English restaurant named The Rice Boat has a high customer rating, on average costing over 30 pounds. It is located in the city centre near the Express by Holiday Inn.
|
task957_e2e_nlg_text_generation_generate
|
task957-d6f307ad516d419d9aab1ce038ae8a0e
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Rice Boat], food[French], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
|
No, the French restaurant The Rice Boat in the city centre on side Express by Holiday Inn with low rank price less than £20
|
task957_e2e_nlg_text_generation_generate
|
task957-06a1271e15104577a16e56dff1cbd92b
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Phoenix], food[Chinese], customer rating[average], area[riverside]
|
The Phoenix provides Chinese food It is located in the riverside. Its customer rating is average.
|
task957_e2e_nlg_text_generation_generate
|
task957-c367071e88a54a1fa0298e33f3e2cdda
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Rice Boat], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[yes]
|
The Rice Boat is a 5 star Family Friendly restaurant near City Centre.
|
task957_e2e_nlg_text_generation_generate
|
task957-7fedcc27c9424c05a3bf3f07e74c09b2
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Waterman], eatType[pub], food[Chinese], customer rating[low], area[city centre]
|
The Waterman is a low rated Chinese pub near the city centre.
|
task957_e2e_nlg_text_generation_generate
|
task957-78964d785b99469f9a7245b36495a2bb
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Twenty Two], food[Fast food], familyFriendly[no]
|
The Twenty Two is a fast food takeout which is not family friendly.
|
task957_e2e_nlg_text_generation_generate
|
task957-f2e1ca0195554810bc77ff37359cf42a
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Curry], food[Japanese], priceRange[£20-25], familyFriendly[yes], near[The Bakers]
|
Near The Bakers is a Japanese restaurant called The Golden Curry that is kids friendly and has food for 20-25 dollars.
|
task957_e2e_nlg_text_generation_generate
|
task957-0ce8c85151d048f599d121e1e3a58c41
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Cotto], food[Japanese], customer rating[5 out of 5], familyFriendly[yes], near[Ranch]
|
Cotto is a Japanese restaurant near Ranch. It is children-friendly and rated 5 out of 5.
|
task957_e2e_nlg_text_generation_generate
|
task957-34b654548eef4fdeae8a46e3b2f29d25
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Wildwood], eatType[pub], food[Japanese], priceRange[moderate], customer rating[1 out of 5]
|
Wildwood is a pub that serves sushi at a mid-range price level. It is not highly rated.
|
task957_e2e_nlg_text_generation_generate
|
task957-641b97dbb7a846f08ea507b12c8db464
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Mill], eatType[coffee shop], food[French], priceRange[less than £20], area[riverside], near[The Sorrento]
|
The Mill is a beautiful riverside coffee shop that offers affordable and delicious small bites from around the world. It is just down the road from The Sorrento
|
task957_e2e_nlg_text_generation_generate
|
task957-20cf4a6a9f3741fe8f67bfc87181c557
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Waterman], eatType[pub], food[Indian], customer rating[average], area[city centre]
|
The Waterman is a pub offering low price Indian food in the city centre
|
task957_e2e_nlg_text_generation_generate
|
task957-6444ef6838ca495c9bf0dc1b7a75eee6
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Alimentum], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]
|
Alimentum is a cheap French restaurant located in the city centre near Yippee Noodle Bar with a customer rating of 5 out of 5.
|
task957_e2e_nlg_text_generation_generate
|
task957-2a3625afb3364fc9bef446b984f3dd73
|
Data to Text
|
Public Places -> Restaurants
| 0 | 1 | 18 | 9 | 9 | 46 | 51 | 65 | 65 | 65 | 65 |
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