Datasets:
llm-aes
/
pandalm-gpt-annotated

Dataset card Data Studio Files Community
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output_2
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float64
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float64
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int64
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Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The movie follows the story of a young woman who is struggling to find her place in the world. She is determined to make it her own, no matter the cost. She embarks on a journey of self-discovery and discovers a hidden strength within herself that she never knew existed. Along the way, she meets a variety of interesting characters and learns valuable lessons about life.
gpt4_2
2
0
3.107027
Output (a) Output (a) Output (b) Output (b) Output (a)
1,231
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The movie follows the story of a young woman who is struggling to find her place in the world. She is determined to make it her own, no matter the cost. She embarks on a journey of self-discovery and discovers a hidden strength within herself that she never knew existed. Along the way, she meets a variety of interesting characters and learns valuable lessons about life.
chatgpt_1
2
0
3.792153
Output (b)
1,232
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
chatgpt_3
2
0
4.143673
Output (b)
1,233
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
gpt4_2
2
0
3.107027
Output (b) Output (b) Output (a) Output (b) Output (b)
1,234
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
chatgpt_1
2
0
3.792153
Output (b)
1,235
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_3
2
0
4.143673
Output (b)
1,236
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
gpt4_2
2
0
3.107027
Output (b) Output (b) Output (a) Output (b) Output (b)
1,237
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_1
2
0
3.792153
Output (b)
1,238
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The plot of the movie is set in a dystopian future where the government has been overthrown and replaced by a totalitarian regime. The story follows a group of rebels as they attempt to overthrow the oppressive regime and restore freedom to the people.
chatgpt_3
2
0
4.143673
Output (b)
1,239
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The plot of the movie is set in a dystopian future where the government has been overthrown and replaced by a totalitarian regime. The story follows a group of rebels as they attempt to overthrow the oppressive regime and restore freedom to the people.
gpt4_2
2
0
3.107027
Output (b) Output (b) Output (a) Output (b) Output (a)
1,240
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
A thrilling adventure story set in a futuristic world.
The plot of the movie is set in a dystopian future where the government has been overthrown and replaced by a totalitarian regime. The story follows a group of rebels as they attempt to overthrow the oppressive regime and restore freedom to the people.
chatgpt_1
2
0
3.792153
Output (b)
1,241
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a young woman who is struggling to find her place in the world. She is determined to make it her own, no matter the cost. She embarks on a journey of self-discovery and discovers a hidden strength within herself that she never knew existed. Along the way, she meets a variety of interesting characters and learns valuable lessons about life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_3
2
0
4.143673
Output (b)
1,242
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a young woman who is struggling to find her place in the world. She is determined to make it her own, no matter the cost. She embarks on a journey of self-discovery and discovers a hidden strength within herself that she never knew existed. Along the way, she meets a variety of interesting characters and learns valuable lessons about life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
gpt4_2
1
0
3.107027
Output (a) Output (a) Output (b) Output (b) Output (a)
1,243
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a young woman who is struggling to find her place in the world. She is determined to make it her own, no matter the cost. She embarks on a journey of self-discovery and discovers a hidden strength within herself that she never knew existed. Along the way, she meets a variety of interesting characters and learns valuable lessons about life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_1
1
0
3.792153
Output (a)
1,244
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_3
2
0
4.143673
Output (b)
1,245
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
gpt4_2
2
0
3.107027
Output (b) Output (b) Output (a) Output (a) Output (b)
1,246
Come up with an interesting idea for a new movie plot. Your plot should be described with a title and a summary.
The movie follows the story of a small-town girl who moves to the big city in pursuit of her dreams. She faces many obstacles along the way, but eventually finds success and a new outlook on life.
A group of friends embark on a road trip across the United States in search of a mysterious treasure. Along the way, they encounter a variety of strange and dangerous creatures, and must use their wits and courage to survive.
chatgpt_1
2
0
3.792153
Output (b)
1,247
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
chatgpt_3
1
0
4.143673
Output (a)
1,248
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
gpt4_2
1
0
3.107027
Output (b) Output (a) Output (a) Output (a) Output (a)
1,249
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
chatgpt_1
1
0
3.792153
Output (a)
1,250
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
chatgpt_3
2
0
4.143673
Output (b)
1,251
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
gpt4_2
1
0
3.107027
Output (a) Output (b) Output (a) Output (b) Output (a)
1,252
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
They were recently able to increase the amount of stock they hold with the same supplier, thereby reducing their risk.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
chatgpt_1
1
0
3.792153
Output (a)
1,253
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
chatgpt_3
2
0
4.143673
Output (b)
1,254
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
gpt4_2
2
0
3.107027
Output (a) Output (b) Output (a) Output (b) Output (b)
1,255
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
chatgpt_1
2
0
3.792153
Output (b)
1,256
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
chatgpt_3
1
0
4.143673
Output (a)
1,257
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
gpt4_2
1
0
3.107027
Output (a) Output (a) Output (a) Output (b) Output (a)
1,258
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
chatgpt_1
1
0
3.792153
Output (a)
1,259
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
chatgpt_3
1
0
4.143673
Output (a)
1,260
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
gpt4_2
-1
null
null
null
1,261
Change the first person to the third person in the given sentence. The meaning should be kept, but you can paraphrase it or expand it in order to have a better pose.
We were recently able to increase the amount of stock we hold with the same supplier thereby reducing our risk.
The company was able to reduce its risk by increasing the amount of stock it held with the same supplier.
We reduced our risk by increasing the amount of stock we hold with the same supplier.
chatgpt_1
1
0
3.792153
Output (a)
1,262
You should capitalize the sentence according to the guide.
Guide: Every other letter alternates between lower case and upper case. Sentence: A giant spider blocks your path.
A giant spider blocks your path.
The giant spider blocks your path.
chatgpt_3
2
0
4.143673
Output (b)
1,263
You should capitalize the sentence according to the guide.
Guide: Every other letter alternates between lower case and upper case. Sentence: A giant spider blocks your path.
A giant spider blocks your path.
The giant spider blocks your path.
gpt4_2
1
0
3.107027
Output (b) Output (a) Output (a) Output (a) Output (a)
1,264
You should capitalize the sentence according to the guide.
Guide: Every other letter alternates between lower case and upper case. Sentence: A giant spider blocks your path.
A giant spider blocks your path.
The giant spider blocks your path.
chatgpt_1
2
0
3.792153
Output (b)
1,265
Create alliterations by finding synonyms for words in the given sentence.
David wears a hat everyday.
David wears a cap every day.
David wears a hat every day.
chatgpt_3
2
0
4.143673
Output (b)
1,266
Create alliterations by finding synonyms for words in the given sentence.
David wears a hat everyday.
David wears a cap every day.
David wears a hat every day.
gpt4_2
1
0
3.107027
Output (a) Output (b) Output (a) Output (b) Output (a)
1,267
Create alliterations by finding synonyms for words in the given sentence.
David wears a hat everyday.
David wears a cap every day.
David wears a hat every day.
chatgpt_1
1
0
3.792153
Output (a)
1,268
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_3
1
0
4.143673
Output (a)
1,269
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
gpt4_2
2
0
3.107027
Output (b) Output (b) Output (a) Output (b) Output (b)
1,270
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_1
1
0
3.792153
Output (a)
1,271
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_3
1
0
4.529204
Output (a)
1,272
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
gpt4_2
2
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (b)
1,273
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | ------ | ------ | ----- | | Shirt | 10 | $10 | | Pants | 20 | $20 | | Dress | 30 | $30 | | Shoes | 40 | $40 | | Jacket | 50 | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_1
1
0
3.975886
Output (a)
1,274
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_3
2
0
4.529204
Output (b)
1,275
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
gpt4_2
2
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (b)
1,276
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_1
2
0
3.975886
Output (b)
1,277
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_3
2
0
4.529204
Output (b)
1,278
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
gpt4_2
2
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (b)
1,279
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_1
2
0
3.975886
Output (b)
1,280
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
chatgpt_3
1
0
4.529204
Output (a)
1,281
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
gpt4_2
1
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (b)
1,282
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Item | Number | Price | | --- | --- | --- | | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
chatgpt_1
1
0
3.975886
Output (a)
1,283
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_3
2
0
4.529204
Output (b)
1,284
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
gpt4_2
2
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (b)
1,285
I bought two shirts from the store and each one cost me $10. I also bought a pair of pants and they cost me $20. Then, I bought a dress and it cost me $30. Also, I bought a pair of shoes and they cost me $40. Lastly, I bought a jacket and it cost me $50. Make a table chart showing items, the number, and the price of these items. Separate columns with "|".
| Items | Number | Price | | Shirt | $10 | | Pants | $20 | | Jacket | $50 |
| Item | Number | Price | |------|------|------| | Shirt | 2 | $10 | | Pants | 1 | $20 | | Dress | 1 | $30 | | Shoes | 1 | $40 | | Jacket | 1 | $50 |
chatgpt_1
2
0
3.975886
Output (b)
1,286
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
chatgpt_3
1
0
4.529204
Output (a)
1,287
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
gpt4_2
2
0
3.696611
Output (a) Output (b) Output (a) Output (a) Output (b)
1,288
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
chatgpt_1
1
0
3.975886
Output (a)
1,289
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
chatgpt_3
1
0
4.529204
Output (a)
1,290
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
gpt4_2
1
0
3.696611
Output (a) Output (a) Output (a) Output (a) Output (a)
1,291
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
chatgpt_1
1
0
3.975886
Output (a)
1,292
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_3
1
0
4.529204
Output (a)
1,293
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
gpt4_2
1
0
3.696611
Output (a) Output (a) Output (b) Output (b) Output (a)
1,294
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_1
1
0
3.975886
Output (a)
1,295
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_3
2
0
4.529204
Output (b)
1,296
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
gpt4_2
1
0
3.696611
Output (b) Output (b) Output (a) Output (a) Output (b)
1,297
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Machine Learning 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Image Classification 7. Speech Recognition 8. Natural Language Processing 9. Computer Vision 10. Robotics
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_1
1
0
3.975886
Output (a)
1,298
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
chatgpt_3
2
0
4.529204
Output (b)
1,299
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
gpt4_2
2
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (a)
1,300
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
chatgpt_1
2
0
3.975886
Output (b)
1,301
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_3
1
0
4.529204
Output (a)
1,302
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
gpt4_2
1
0
3.696611
Output (a) Output (a) Output (b) Output (b) Output (a)
1,303
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_1
1
0
3.975886
Output (a)
1,304
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_3
2
0
4.529204
Output (b)
1,305
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
gpt4_2
2
0
3.696611
Output (a) Output (b) Output (b) Output (a) Output (a)
1,306
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the given complex concept are supervised learning, unsupervised learning, and reinforcement learning.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_1
2
0
3.975886
Output (b)
1,307
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_3
1
0
4.529204
Output (a)
1,308
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
gpt4_2
1
0
3.696611
Output (a) Output (b) Output (b) Output (a) Output (a)
1,309
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
chatgpt_1
1
0
3.975886
Output (a)
1,310
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_3
1
0
4.529204
Output (a)
1,311
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
gpt4_2
1
0
3.696611
Output (a) Output (a) Output (a) Output (a) Output (a)
1,312
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
The concepts that should be learned before approaching the complex concept of deep learning include linear algebra, calculus, and probability theory.
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_1
1
0
3.975886
Output (a)
1,313
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_3
2
0
4.529204
Output (b)
1,314
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
gpt4_2
2
0
3.696611
Output (b) Output (b) Output (b) Output (a) Output (b)
1,315
List the concepts that should be learned before approaching the given complex concept.
Deep Learning
1. Convolutional Neural Networks (CNNs) 2. Recurrent Neural Networks (RNNs) 3. Long Short-Term Memory Networks (LSTMs) 4. Recurrent Neural Networks (RNNs) 5. Convolutional Neural Networks (CNNs) 6. Long Short-Term Memory Networks (LSTMs) 7. Recurrent Neural Networks (RNNs) 8. Long Short-Term Memory Networks (LSTMs) 9. Convolutional Neural Networks (CNNs) 10. Long Short-Term Memory Networks (LSTMs)
1. Machine Learning Theory 2. Neural Networks 3. Convolutional Neural Networks 4. Recurrent Neural Networks 5. Generative Adversarial Networks 6. Reinforcement Learning 7. Natural Language Processing 8. Computer Vision
chatgpt_1
2
0
3.975886
Output (b)
1,316
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Not Relevant
Relevant
chatgpt_3
2
0
4.529204
Output (b)
1,317
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Not Relevant
Relevant
gpt4_2
2
0
3.696611
Output (a) Output (b) Output (b) Output (a) Output (b)
1,318
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Not Relevant
Relevant
chatgpt_1
2
0
3.975886
Output (b)
1,319
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Relevant
Not Relevant
chatgpt_3
1
0
4.529204
Output (a)
1,320
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Relevant
Not Relevant
gpt4_2
1
0
3.696611
Output (b) Output (a) Output (b) Output (b) Output (a)
1,321
You are given a search query and a document. Classify whether the document is relevant to the search query or not relevant.
Search: why sky is blue Document: The Short Answer: Sunlight reaches Earth's atmosphere and is scattered in all directions by all the gases and particles in the air. Blue light is scattered more than the other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time.
Relevant
Not Relevant
chatgpt_1
1
0
3.975886
Output (a)
1,322
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
Subtopics for Music Theory: - Music Theory Basics - Music Theory Techniques - Music Theory Formats - Music Theory Instruments - Music Theory Styles - Music Theory Acoustics - Music Theory Repertoire
chatgpt_3
2
0
4.529204
Output (b)
1,323
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
Subtopics for Music Theory: - Music Theory Basics - Music Theory Techniques - Music Theory Formats - Music Theory Instruments - Music Theory Styles - Music Theory Acoustics - Music Theory Repertoire
gpt4_2
2
0
3.696611
Output (a) Output (b) Output (b) Output (a) Output (b)
1,324
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
Subtopics for Music Theory: - Music Theory Basics - Music Theory Techniques - Music Theory Formats - Music Theory Instruments - Music Theory Styles - Music Theory Acoustics - Music Theory Repertoire
chatgpt_1
2
0
3.975886
Output (b)
1,325
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
1. Music Theory Basics 2. Music Theory Elements 3. Music Theory Applications 4. Music Theory Instruments 5. Music Theory Practice 6. Music Theory Performance
chatgpt_3
2
0
4.529204
Output (b)
1,326
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
1. Music Theory Basics 2. Music Theory Elements 3. Music Theory Applications 4. Music Theory Instruments 5. Music Theory Practice 6. Music Theory Performance
gpt4_2
2
0
3.696611
Output (a) Output (b) Output (b) Output (a) Output (a)
1,327
Create a list of subtopics for the given topic.
Music theory
Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of timbre Theory of counterpoint Theory of harmony Theory of form Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics Theory of pitch Theory of rhythm Theory of harmony Theory of melody Theory of timbre Theory of form Theory of counterpoint Theory of dynamics
1. Music Theory Basics 2. Music Theory Elements 3. Music Theory Applications 4. Music Theory Instruments 5. Music Theory Practice 6. Music Theory Performance
chatgpt_1
2
0
3.975886
Output (b)
1,328
Create a list of subtopics for the given topic.
Music theory
Subtopics for Music Theory: - Music Theory Basics - Music Theory Techniques - Music Theory Formats - Music Theory Instruments - Music Theory Styles - Music Theory Acoustics - Music Theory Repertoire
1. Harmony 2. Melody 3. Rhythm 4. Counterpoint 5. Form 6. Analysis 7. Composition 8. Arrangement 9. Orchestration 10. Improvisation
chatgpt_3
2
0
4.529204
Output (b)
1,329
Create a list of subtopics for the given topic.
Music theory
Subtopics for Music Theory: - Music Theory Basics - Music Theory Techniques - Music Theory Formats - Music Theory Instruments - Music Theory Styles - Music Theory Acoustics - Music Theory Repertoire
1. Harmony 2. Melody 3. Rhythm 4. Counterpoint 5. Form 6. Analysis 7. Composition 8. Arrangement 9. Orchestration 10. Improvisation
gpt4_2
2
0
3.696611
Output (b) Output (b) Output (b) Output (a) Output (b)
1,330