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]
twenty names of famous horses and who they belonged to

[Ground truth Answer]
1. Bucephalus - belonged to Alexander the Great
2. Marengo - belonged to Napoleon Bonaparte
3. Copenhagen - belonged to Duke of Wellington
4. Comanche - belonged to Captain Myles Keogh (US Army)
5. Trigger - belonged to Roy Rogers (famous American cowboy and actor)
6. Black Jack - belonged to US Military
7. Burmese - belonged to Queen Elizabeth II
8. Man o' War - belonged to Samuel D. Riddle (racehorse owner)
9. Seabiscuit - belonged to Charles S. Howard (racehorse owner)
10. Secretariat - belonged to Penny Chenery (racehorse owner)
11. Phar Lap - belonged to David J. Davis (American businessman)
12. Red Rum - belonged to Noel Le Mare (British racehorse owner)
13. Arkle - belonged to Anne, Duchess of Westminster (British racehorse owner)
14. Ruffian - belonged to Stuart S. Janney Jr. (American racehorse owner)
15. Barbaro - belonged to Roy and Gretchen Jackson (American racehorse owners)
16. Eclipse - belonged to Dennis O'Kelly (18th century)
17. Frankel - belonged to Prince Khalid bin Abdullah (Saudi businessman)
18. Kincsem - belonged to Ernő Blaskovich (Hungarian racehorse owner)
19. Nijinsky - belonged to Charles W. Engelhard Jr. (American racehorse owner)
20. Desert Orchid - belonged to Richard Burridge (British racehorse owner)

[Assistant's Response]
Here is a list of twenty famous horses along with their notable owners or connections, highlighting their significant contributions to horse racing history:

1. **Secretariat** - Owned by Penny Chenery; he won the Triple Crown in 1973 and is often regarded as one of the greatest racehorses of all time.
2. **Seabiscuit** - Owned by Charles S. Howard; he became a symbol of hope during the Great Depression and won the 1938 Horse of the Year title.
3. **Man o' War** - Owned by Samuel Riddle; considered one of the greatest racehorses ever, he won 20 of 21 races in the early 20th century.
4. **War Admiral** - Also owned by Samuel Riddle; he won the Triple Crown in 1937 and is known for his rivalry with Seabiscuit.
5. **Affirmed** - Owned by Louis Wolfson; he won the Triple Crown in 1978 and is famous for his battles with Alydar.
6. **Seattle Slew** - Owned by Ben and Liza Glass; he won the Triple Crown in 1977 and is the only horse to win it while undefeated.
7. **Citation** - Owned by B. J. McLean; he won the Triple Crown in 1948 and was the first horse to earn over $1 million.
8. **Ruffian** - Owned by Stuart Janney III; she was known for her incredible speed and tragic end, becoming a legend in her own right.
9. **Zenyatta** - Owned by Jerry Moss and Ann Moss; she is famous for her undefeated record in 19 races and her charismatic personality.
10. **Black Caviar** - Owned by Peter Moody; she is an Australian champion with 25 consecutive wins, known for her dominance in sprint races.
11. **Phar Lap** - Owned by David J. Davis; he is a legendary racehorse from New Zealand who became a national icon in Australia.
12. **Northern Dancer** - Owned by E.P. Taylor; he was a champion racehorse and influential sire, greatly impacting the breeding industry.
13. **Cigar** - Owned by Allen Paulson; he was a two-time Horse of the Year in the 1990s and is known for his remarkable winning streak.
14. **Smarty Jones** - Owned by Roy and Patricia Chapman; he won the Kentucky Derby and Preakness Stakes in 2004, capturing the public's heart.
15. **American Pharoah** - Owned by Zayat Stables; he won the Triple Crown in 2015 and the Breeders' Cup Classic, ending a 37-year drought.
16. **Justify** - Owned by WinStar Farm; he won the Triple Crown in 2018, becoming the second horse in history to do so undefeated.
17. **Genuine Risk** - Owned by Burt and Judy Bacharach; she was the second filly to win the Kentucky Derby, achieving this in 1980.
18. **Winx** - Owned by Peter and Patty Tighe; she is an Australian champion known for her 33 consecutive wins, making her one of the greatest of all time.
19. **Omaha** - Owned by the Omaha Racing Association; he won the Triple Crown in 1935, becoming a celebrated figure in racing history.
20. **Ruffian** - (Repeated entry) Owned by Stuart Janney III; she is remembered for her speed and tragic end, marking her legacy in horse racing.

These horses have left an indelible mark on the sport, celebrated for their extraordinary achievements and the stories behind their ownership.

[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: