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.
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.
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.
[Instruction]
When you're stuck on a coding problem, the best place to look for help is in the documentation. Read the docs carefully and see if there's a section that covers your specific issue. Often, the answer will be right there in front of you. If not, try searching for key terms related to your problem. Come up with the useful links about the given search term.
Input: sql find duplicate values

[Ground truth Answer]
- https://iteration-utilities.readthedocs.io/en/latest/generated/duplicates.html
- https://orange3-text.readthedocs.io/en/latest/widgets/duplicatedetection.html
- https://beets.readthedocs.io/en/v1.3.14/plugins/duplicates.html
- https://doma.readthedocs.io/en/latest/sql/
- https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.drop_duplicates.html
- https://sqlparse.readthedocs.io/en/latest/analyzing/

[Assistant's Response]
When searching for how to find duplicate values in SQL, it’s essential to utilize reliable resources that provide clear explanations and practical examples. Here’s a curated list of valuable links that can help you understand and solve the problem of identifying duplicates in SQL:

1. **W3Schools - SQL SELECT DISTINCT Statement**  
   This resource explains the `DISTINCT` keyword, which is fundamental for filtering out duplicate values in query results. It includes examples that clarify its usage.  
   [W3Schools - SQL SELECT DISTINCT](https://www.w3schools.com/sql/sql_distinct.asp)

2. **Mode Analytics - How to Find Duplicates in SQL**  
   This tutorial offers a step-by-step guide on finding duplicate rows in SQL, complete with sample queries to illustrate the concepts.  
   [Mode Analytics - Find Duplicates](https://mode.com/sql-tutorial/sql-duplicate-values/)

3. **SQLBolt - Lesson on Aggregate Functions**  
   This lesson covers aggregate functions like `COUNT()`, which are crucial for identifying duplicates in datasets. It provides practical examples that enhance understanding.  
   [SQLBolt - Aggregate Functions](https://sqlbolt.com/lesson/aggregate_functions)

4. **Stack Overflow - Finding Duplicate Rows in SQL**  
   A community-driven Q&A platform where various methods to find duplicates are discussed. Users share sample code snippets and solutions to common issues.  
   [Stack Overflow - Finding Duplicates](https://stackoverflow.com/questions/2090129/how-to-find-duplicate-values-in-sql)

5. **TutorialsPoint - SQL - Find Duplicate Rows**  
   This page provides a straightforward explanation of how to find duplicate rows in SQL, complete with examples and syntax that can be directly applied.  
   [TutorialsPoint - Find Duplicate Rows](https://www.tutorialspoint.com/sql/sql_duplicate_rows.htm)

6. **Database Journal - How to Find Duplicate Records in SQL Server**  
   This article focuses specifically on SQL Server, detailing various methods to identify duplicates using SQL queries, making it a valuable resource for SQL Server users.  
   [Database Journal - Find Duplicates](https://www.databasejournal.com/features/mssql/how-to-find-duplicate-records-in-sql-server/)

7. **SQL Authority - Find Duplicate Rows in SQL Server**  
   This blog post offers a detailed explanation along with example queries for finding duplicate rows in SQL Server, ideal for those looking for in-depth insights.  
   [SQL Authority - Duplicate Rows](https://blog.sqlauthority.com/2009/01/14/sql-server-find-duplicate-rows/)

8. **SQLZoo - SELECT Basics**  
   This interactive tutorial introduces SQL queries, including how to select and filter data, which is essential for finding duplicates. It’s a great starting point for beginners.  
   [SQLZoo - SELECT Basics](https://sqlzoo.net/wiki/SELECT_basics)

These resources should equip you with the necessary knowledge and tools to effectively find duplicate values in SQL, whether you're a beginner or looking to refine your skills.

[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: