Lots-of-LoRAs/task1407_dart_question_generation huggingface dataset:
Definition: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.

Positive Example 1 -
Input: [['Northwestern College', 'NICKNAME', 'Red Raiders'], ['Northwestern College', 'LOCATION', 'Orange City, Iowa']]
Output: The team whose nickname is red raiders is located in the _______

Positive Example 2 -
Input: [['University of Mississippi', 'NEW_CONFERENCE', 'SELC']]
Output: _____ was in the selc new conference.

Negative Example 1 -
Input: [['Graham Edwards', 'PROVINCE', 'North Metropolitan']]
Output: Edwards _____ the North Metropolitan Province.

Negative Example 2 -
Input: [['Li Qiaoxian (CHN)', 'PRELIMINARY_RANK', '6']]
Output: _____ had a _____ of _____.

Now complete the following example -
Input: [['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'French'], ['Browns Cambridge', 'priceRange', 'less than £20'], ['Browns Cambridge', 'customer rating', 'low']]
Output: 



Answer:
_____, a French restaurant, offers food for less than £20, but has a low rating.