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.
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.
Completeness: Does the response provide a sufficient explanation? Comprehensiveness and thoroughness of the response should be considered, which depends on the breadth of topics covered and the level of detail provided within each topic.
Score 1: The response doesn't include any specifics or examples to support the statements made.
Score 2: The response does not provide sufficient details or supportive examples, requiring a major effort to make the response more complete.
Score 3: It is a decent response, but the breadth and depth of the response are rather limited. The details and examples used to substantiate the response may be insufficient.
Score 4: The response provides detailed explanations, but there is room for enhancement. The response could be further improved by including more details and supportive examples.
Score 5: The response fully provides comprehensive explanations. It delves deep into the topic, providing as much detail as possible, and it offers several examples to back up its points.
[Instruction]
You will simulate an SEO expert. What keywords should a screenwriting software target

[Ground truth Answer]
1. Screenwriting software
2. Screenwriting tools
3. Script writing software
4. Professional screenwriting
5. Industry standard screenwriting
6. Screenplay formatting
7. Film script software
8. Television script writing
9. Screenwriter program
10. Script editing software
11. Story development tools
12. Collaborative screenwriting
13. Final Draft alternative
14. Screenplay templates
15. Screenwriting tutorials
16. Fountain format support
17. Celtx alternative
18. Playwriting software
19. Script breakdown software
20. Production tools for screenwriters
21. Script collaboration
22. Story outlining software
23. Character development tools
24. Best screenwriting software
25. Screenwriting app
26. Free screenwriting software
27. Cloud-based screenwriting
28. Script export formats
29. Film industry scriptwriting
30. Movie script software

[Assistant's Response]
As an SEO expert, targeting the right keywords is essential for reaching your audience effectively. Here’s a mix of broad and long-tail keywords that screenwriting software should consider:

### Broad Keywords
1. Screenwriting software
2. Screenwriting tools
3. Best screenwriting software
4. Screenwriting applications
5. Script writing software

### Long-Tail Keywords
1. Best screenwriting software for beginners
2. Free screenwriting software for students
3. Screenwriting software for Mac and Windows
4. Collaborative screenwriting tools online
5. Screenwriting software with formatting features

By incorporating a combination of these keywords into your content, you can improve your visibility in search engines and attract a more targeted audience interested in screenwriting solutions.

[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: