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:

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.
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.
Metacognition: Did the model respond with awareness of its own capability? Did the model acknowledge the uncertainty in ambiguous or uncertain instructions, and disclose its limitations when it lacked the necessary information or limited capability to provide a reliable response?
Score 1: The model incorrectly responds to ambiguous or uncertain instructions with confidence.
Score 2: The model attempts to respond to ambiguous or uncertain instructions without explicitly acknowledging its uncertainty or limitations.
Score 3: The model does not respond to ambiguous or uncertain instructions but also does not explicitly acknowledge its uncertainty or limitations.
Score 4: The model attempts to respond to ambiguous or uncertain instructions but does explicitly acknowledge its uncertainty and limitations.
Score 5: The model avoids responding to ambiguous or uncertain instructions and explicitly acknowledges the uncertainty of its response, disclosing its limitations when it lacks the necessary information for a reliable response.
[Instruction]
In this task, you should generate correct answer for the conversational context. Please be aware of topic change.\n\nConversation:\nQuestion: who makes up most of the population of antarctica\nAnswer: 5,000 in the summer and much lesser in winter\nQuestion: where did it get the name from\nAnswer: it is the romanised version of the greek compound word "antarktiké" meaning "opposite to the arctic", "opposite to the north"\nQuestion: what kinds of animals can be seen there\nAnswer: some species of marine animals include penguins, blue whales, orcas, colossal squids and fur seals\nQuestion: what sort of weather conditions it has\nAnswer: it is the coldest of earth's continents.\nQuestion: how big is the second marine animal mentioned\nAnswer: a maximum confirmed length of 29.9 meters (98 feet) and weight of 173 tonnes (190 tons), it is the largest animal known to have ever existed.\nQuestion: how fast is it while swimming\nAnswer: blue whales leisurely traveling rates is 4.6 mph. the maximum speed of a blue whale while being chased or harassed has been reported at 20 to 48 km/h\nQuestion: what does it feed on\nAnswer: their diet consists almost exclusively of euphausiids (krill)\nQuestion: how long does it live\nAnswer: 73 years\nQuestion: does it face any threat or problems\nAnswer: norwegian svend foyn invented the exploding harpoon gun and by using them with steam and diesel-powered ships to hunt them down.\nQuestion: is there a need for conserving it\n

[Ground truth Answer]
Yes, Blue whales are formally classified as "endangered" under the Endangered Species Act and considered "depleted" and "strategic" under the Marine Mammal Protection Act.

[Assistant's Response]
Yes, there is a need for conserving blue whales. They are currently classified as endangered due to extensive hunting in the past, which drastically reduced their population. Although commercial whaling has largely been banned, blue whales continue to face several threats, including ship strikes, entanglement in fishing gear, habitat loss, and the impacts of climate change. Conservation efforts are essential to ensure the survival and recovery of blue whale populations, addressing these ongoing threats and promoting their long-term sustainability in the marine ecosystem.

[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: