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:

Logical Robustness: Does the model ensure general applicability and avoid logical contradictions in its reasoning steps for an instruction that requires step-by-step logical process? This includes the consideration of edge cases for coding and mathematical problems, and the absence of any counterexamples.
Score 1: The logic of the model's response is completely incoherent.
Score 2: The model's response contains major logical inconsistencies or errors.
Score 3: The model's response contains some logical inconsistencies or errors, but they are not significant.
Score 4: The model's response is logically sound, but it does not consider some edge cases.
Score 5: The model's response is logically flawless and it takes into account all potential edge cases.
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.
Readability: Is the response structured to promote readability and coherence? Does the response exhibit excellent organization?
Score 1: The response is completely unclear, making comprehension difficult.
Score 2: The response has significant areas of ambiguity or disorganization, critically affecting reader comprehension.
Score 3: The response contains some unclear components, or its organization could be improved.
Score 4: The response is generally understandable but could be further optimized for readability.
Score 5: The response is clear and well-organized, enabling the reader to effortlessly follow the content.
[Instruction]
As part of software engineering, user stories describe what the user wants the system to do, while acceptance criteria describe the conditions a specific user story must meet. Create basic acceptance criteria based on the given user story.
Input: User story: As a user, I want to use a search field to type a city, name, or street, so that I could find matching hotel options.

[Ground truth Answer]
- The search field is placed on the top bar
- Search starts once the user clicks “Search”
- The field contains a placeholder with a grey-colored text: “Where are you going?”
- The placeholder disappears once the user starts typing
- Search is performed if a user types in a city, hotel name, street, or all combined
Search is in English, French, German, and Ukrainian
The user can’t type more than 200 symbols
The search doesn’t support special symbols (characters). If the user has typed a special symbol, show the warning message: “Search input cannot contain  special symbols.”

[Assistant's Response]
Based on the provided user story, here are the refined acceptance criteria that outline the conditions the search functionality must meet:

### Acceptance Criteria for Hotel Search Functionality

1. **Search Field Visibility**: 
   - The search field must be prominently displayed on the main page of the application, ensuring it is easily accessible to users.

2. **Input Acceptance**: 
   - The search field must accept various input types, including city names, hotel names, and street names, allowing users to search flexibly.

3. **Real-time Suggestions**: 
   - The system should provide real-time suggestions as the user types in the search field, helping to refine the search and improve user experience.

4. **Search Execution**: 
   - Upon submitting the search (either by pressing Enter or clicking a designated search button), the system should retrieve and display a list of hotels that match the search criteria.

5. **No Results Feedback**: 
   - If the search yields no results, the system should display a clear and friendly message indicating that no matching hotels were found, along with suggestions for alternative searches.

6. **Performance Standards**: 
   - The search results should load within 3 seconds after the search query is submitted, ensuring a responsive user experience.

7. **Mobile and Desktop Compatibility**: 
   - The search field and results must be fully functional and visually appealing on both desktop and mobile devices, ensuring accessibility across platforms.

8. **Error Handling**: 
   - The system should gracefully handle any errors that occur during the search process (e.g., network issues), providing the user with a meaningful error message.

By adhering to these acceptance criteria, the development team can ensure that the search functionality meets user needs effectively and provides a seamless experience. If you require further elaboration or additional criteria, feel free to ask!

[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: