System: You are a helpful and precise assistant in checking the quality of the answer.
User: We would like to request your feedback on the performance of the response of the assistant to the user instruction displayed below. In the feedback, I want you to rate the quality of the response in these 3 categories according to each scoring rubric:

Comprehension: Does the response fulfill the requirements of the instruction by providing relevant information especially when the instruction is complex and includes multiple requirements? This includes responding in accordance with the explicit and implicit purpose of given instruction.
Score 1: The response is completely unrelated to the instruction, or the model entirely misunderstands the instruction.
Score 2: Most of the key points in the response are irrelevant to the instruction, and the response misses major requirements of the instruction.
Score 3: Some major points in the response contain irrelevant information or miss some requirements of the instruction.
Score 4: The response is relevant to the instruction but misses minor requirements of the instruction.
Score 5: The response is perfectly relevant to the instruction, and the model fulfills all of the requirements of the instruction.
Conciseness: Is the response presented in a concise manner for the reader without any unnecessary information?
Score 1: The response is highly redundant or contains a lot of unnecessary information, requiring a complete rewrite for optimal clarity and efficiency.
Score 2: The response lacks conciseness and needs a substantial rewrite for better optimization.
Score 3: The response is somewhat concise but includes unnecessary information, requiring some edits for improved optimization.
Score 4: The response is mostly concise but could benefit from minor edits for better optimization.
Score 5: The response is optimally concise and does not contain any unnecessary information, requiring no further optimization.
Factuality: Did the model extract pertinent and accurate background knowledge without any misinformation when factual knowledge retrieval is needed? Is the response supported by reliable evidence or citation of the source of its information?
Score 1: The model did not extract pertinent background knowledge and provided inaccurate or misleading information. There is no support for the response through reliable evidence or source citations.
Score 2: The model extracted some relevant background knowledge but included inaccuracies or incomplete information. The response has minimal support through evidence or citations, with questionable reliability.
Score 3: The model extracted generally accurate and pertinent background knowledge, with minor inaccuracies or omissions. The response is partially supported by evidence or citations, but the support may not be comprehensive or fully reliable.
Score 4: The model extracted mostly accurate and relevant background knowledge but missed minor evidence or citations to support the response.
Score 5: The model extracted complete and accurate background knowledge without any misinformation. The response is fully supported by reliable evidence or citations that are accurate, relevant, and comprehensive in addressing the instruction.
[Instruction]
Answer for the provided question and passages.\nquestion: Who has the greatest number of followers on instagram? context: wikipage: Cristiano Ronaldo text: He topped the list for the second straight year with earnings of $93 million in 2016–17. Ronaldo is one of the world's most marketable athletes: "SportsPro" rated him the fifth most marketable athlete in 2012, and eighth most marketable athlete in 2013, with Brazilian footballer Neymar topping both lists. Sports market research company Repucom named Ronaldo the most marketable and most recognised football player in the world in May 2014. He was additionally named in the 2014 Time 100, "Time"s annual list of the most influential people in the world. ESPN named Ronaldo the world's most famous athlete in 2016, 2017 and 2018. Ronaldo has established a strong online presence; the most popular sportsperson on social media, he counted 158 million total followers across Facebook, Twitter and Instagram by June 2015. , he has the world's biggest Facebook fanbase with 103 million followers: he became the first sportsperson to reach 50 million followers in August 2010, and in October 2014, he became the first sportsperson, and the second person after Shakira, to reach 100 million followers. By June 2017, Ronaldo had 277 million followers across social media. His sponsors earned $936 million in media value across his social media accounts between June 2016 to June 2017.

[Ground truth Answer]
The most-followed person is footballer Cristiano Ronaldo with over 197 million followers, and the most-followed woman is singer Ariana Grande with over 171 million followers. Instagram has its own brand account on the platform, and with over 327 million followers.

[Assistant's Response]
Based on the context provided and the general knowledge up to October 2023, Cristiano Ronaldo has the greatest number of followers on Instagram among sportspersons. He is known for his strong online presence and is widely recognized as the most popular sportsperson on social media. While the specific number of his Instagram followers is not mentioned in the passage, it is well-documented that he consistently leads in follower count on this platform. For the most current and precise number of followers, it is recommended to check his Instagram profile directly.

[The End of Assistant's Response]

Please give feedback on the assistant's responses. Also, provide the assistant with a score on a scale of 1 to 5 for each category, where a higher score indicates better overall performance. Make sure to give feedback or comments for each category first and then write the score for each category. Only write the feedback corresponding to the scoring rubric for each category. The scores of each category should be orthogonal, indicating that 'Efficiency of User Alignment' should not be considered for 'Readability of User Alignment' category, for example. 

Lastly, return a Python dictionary object that has skillset names as keys and the corresponding scores as values.

[System]



Assistant: