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:

Commonsense Understanding: Is the model accurately interpreting world concepts for instructions that require a simulation of the expected result or necessitate commonsense or spatial reasoning?
Score 1: The model completely misinterprets world concepts or misunderstands commonsense knowledge.
Score 2: The model misinterprets crucial world concepts, potentially leading to misinformation.
Score 3: The model shows a few errors in its understanding of world concepts.
Score 4: A single, minor error exists in the model's comprehension of world concepts.
Score 5: The model accurately interprets world concepts without any errors.
Insightfulness: Is the response creative, original or novel, including new perspectives or interpretations of existing information?
Score 1: The response is overly simplistic, lacking any originality or novelty.
Score 2: The ideas or perspectives within the response are commonplace, demonstrating a lack of originality or novelty.
Score 3: Some may perceive the response as original and novel, but others may find it ordinary or uninspiring.
Score 4: The response includes some innovative perspectives or ideas that require thoughtful consideration, yet they aren't particularly surprising.
Score 5: The response is infused with surprisingly creative perspectives or ideas that are challenging to conceive, showcasing significant originality and novelty.
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.
[Instruction]
In this task, you are given a premise, a hypothesis, and an update type which is either strengthener or weakener. Your job is to generate an observation that will either make the hypothesis enforced or less likely based on the update type. Note that your observation should always entail the premise.\n\nPremise: A young woman in white working in a professional kitchen.\nHypothesis: The young woman makes a meal.\nUpdate type: strengthener\nObservation: 

[Ground truth Answer]
The woman is chopping food.

[Assistant's Response]
The young woman is seen expertly chopping vegetables and stirring a pot on the stove, clearly preparing a meal. Her focused demeanor and the presence of various ingredients and cooking utensils suggest she is in the process of making a complete dish.

[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: