Lots-of-LoRAs/task957_e2e_nlg_text_generation_generate huggingface dataset:
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Mill], eatType[coffee shop], food[Italian], priceRange[more than £30], area[riverside], near[The Sorrento]
Output: 


Output: An Italian coffee shop called The Mill is at the riverside. It is near The Sorrento and its price range is more than £30.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Bibimbap House], food[Fast food], priceRange[more than £30], area[riverside], near[Clare Hall]
Output: 


Output: Near Clare Hall is a fast food restaurant called Bibimbap House. Located near the riverside, Bibimbap House offers food with a high price tag.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Alimentum], food[Italian], priceRange[high], area[riverside], familyFriendly[yes]
Output: 


Output: There is high-priced Italian restaurant Alimentum located in the riverside that is in the riverside and it is children friendly.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Blue Spice], priceRange[£20-25], area[riverside]
Output: 


Output: Blue Spice has items in the  £20-25 price range and is in riverside.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Green Man], food[Indian], priceRange[high], area[city centre], familyFriendly[yes], near[All Bar One]
Output: 


Output: Green Man provides Indian food in the high price range. It is located in the city centre. It is near All Bar One.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Waterman], food[Chinese], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]
Output: 


Output: The Waterman offers Chinese food at a cheap price range. The rating is average and it is located in the city centre. They are family friendly.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Phoenix], food[Chinese], priceRange[more than £30], customer rating[high], area[city centre]
Output: 


Output: The Phoenix is a very well-respected restaurant in the city centre that serves gourmet Chinese cuisine.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Clowns], eatType[pub], priceRange[high], customer rating[1 out of 5], area[riverside]
Output: 


Output: Clowns, a pub located near the riverside has high prices, but only a 1 out of 5 rating with customers.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Mill], eatType[pub], food[French], priceRange[moderate], area[riverside]
Output: 


Output: The Mill is a moderately priced French pub located on the riverside.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[The Portland Arms]
Output: 


Output: Rated 1 out of 5, Cotto is a fast food coffee shop. Cotto is moderately priced and located in the riverside area near The Portland Arms.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Waterman], eatType[pub], food[Italian], customer rating[low], area[city centre]
Output: 


Output: The Waterman in city center serves Italian food.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no], near[Burger King]
Output: 


Output: A fast food coffee shop near Burger King and in the city centre is The Eagle. It has a high customer rating and a price range between £20-25, and it is not kid friendly.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Loch Fyne], eatType[restaurant], food[Italian], priceRange[high], familyFriendly[yes]
Output: 


Output: high priced, Italian restaurant Loch Fyne is a child friendly location.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[yes]
Output: 


Output: Located in the city centre, The Waterman is a child friendly French restaurant with a price range of more than 30.
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.

Positive Example 1 -
Input: name[Aromi], eatType[restaurant], food[English], area[city centre]
Output: Aromi is an English restaurant in the city centre.

Positive Example 2 -
Input: name[The Rice Boat], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
Output: The Rice Boat is a cheap Indian restaurant in the center of the city near Express by Holiday Inn. It is family friendly and has the highest customer rating.

Negative Example 1 -
Input: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Avalon]
Output: Blue Spice is a Colombian coffee shop located by the riverside, near Avalon in Boston. Its prices are over £30. Its customer ratings are 5 out of 5.

Negative Example 2 -
Input: name[The Mill], eatType[restaurant], area[riverside], near[The Rice Boat]
Output: A restaurant The Mill, can find near the riverside next to The Rice Boat.

Now complete the following example -
Input: name[Wildwood], eatType[pub], food[Italian], priceRange[more than £30], customer rating[high]
Output: 


Output: Wildwood is a pub that serves Italian food.  It has a high customer rating and the price range is over L20.