OmniTaskonomy
Collection
OmniTaskonomy probes when generation helps understanding. Check our project page here: https://omni-taskonomy.github.io/ • 2 items • Updated • 2
id stringlengths 14 25 | task_id stringclasses 1
value | task_name stringclasses 1
value | r stringclasses 1
value | modality stringclasses 1
value | usage stringclasses 1
value | input_images images listlengths 1 1 | question stringlengths 21 506 | options listlengths 2 4 | hint stringclasses 0
values | answer stringclasses 4
values | evaluation_prompt stringlengths 112 1.79k | editing_prompt stringclasses 0
values | output_image imagewidth (px) | source_dataset stringclasses 4
values | source_id stringlengths 1 5 | source_split stringclasses 2
values | source_license stringclasses 2
values | source_metadata stringclasses 33
values | repeat_index int32 0 0 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MMStar::val::2 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What seems to be the theme of the image? | [
{
"label": "A",
"text": "Hanging Posters"
},
{
"label": "B",
"text": "Music"
},
{
"label": "C",
"text": "Home decoration"
},
{
"label": "D",
"text": "Playing guitar"
}
] | null | D | Question: What seems to be the theme of the image?
Options:
A. Hanging Posters
B. Music
C. Home decoration
D. Playing guitar
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 2 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::4 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the center of focus in the image? | [
{
"label": "A",
"text": "A man writing in a book"
},
{
"label": "B",
"text": "A boy with his head in his hands surrounded by books"
},
{
"label": "C",
"text": "A cluttered desk with books and a pen"
},
{
"label": "D",
"text": "A stack of books covering a young man's face"... | null | A | Question: What is the center of focus in the image?
Options:
A. A man writing in a book
B. A boy with his head in his hands surrounded by books
C. A cluttered desk with books and a pen
D. A stack of books covering a young man's face
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 4 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::20 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the primary focus of the image? | [
{
"label": "A",
"text": "A woman riding a horse on a beach at sunset"
},
{
"label": "B",
"text": "A man riding a horse on a beach at sunset"
},
{
"label": "C",
"text": "A couple riding horses on a beach at sunset"
},
{
"label": "D",
"text": "A horse on a beach at sunset"
... | null | B | Question: What is the primary focus of the image?
Options:
A. A woman riding a horse on a beach at sunset
B. A man riding a horse on a beach at sunset
C. A couple riding horses on a beach at sunset
D. A horse on a beach at sunset
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 20 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::24 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which action is performed in this image? | [
{
"label": "A",
"text": "marching"
},
{
"label": "B",
"text": "playing cymbals"
},
{
"label": "C",
"text": "long jump"
},
{
"label": "D",
"text": "cheerleading"
}
] | null | C | Question: Which action is performed in this image?
Options:
A. marching
B. playing cymbals
C. long jump
D. cheerleading
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 24 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::27 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is happening in the image? | [
{
"label": "A",
"text": "A group of men are playing soccer on a field."
},
{
"label": "B",
"text": "A football player is kicking a ball."
},
{
"label": "C",
"text": "A soccer player is practicing ball control at the stadium."
},
{
"label": "D",
"text": "An Olympic athlete... | null | A | Question: What is happening in the image?
Options:
A. A group of men are playing soccer on a field.
B. A football player is kicking a ball.
C. A soccer player is practicing ball control at the stadium.
D. An Olympic athlete is competing in a soccer match.
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 27 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::28 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the primary activity depicted in the image? | [
{
"label": "A",
"text": "A crane lifting a box from a building"
},
{
"label": "B",
"text": "A man on a truck operating a crane to lift a box from a building"
},
{
"label": "C",
"text": "A crane lifting a house at sunset"
},
{
"label": "D",
"text": "A man on a balcony of a... | null | A | Question: What is the primary activity depicted in the image?
Options:
A. A crane lifting a box from a building
B. A man on a truck operating a crane to lift a box from a building
C. A crane lifting a house at sunset
D. A man on a balcony of a house under construction in the city at sunset
Please select the correct ans... | null | Not supported with pagination yet | MMStar | 28 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::39 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the subject of the image? | [
{
"label": "A",
"text": "A person on stage playing guitar"
},
{
"label": "B",
"text": "A group of people playing music on stage"
},
{
"label": "C",
"text": "A group of people on stage playing guitars and singing"
},
{
"label": "D",
"text": "A group of people on stage play... | null | B | Question: What is the subject of the image?
Options:
A. A person on stage playing guitar
B. A group of people playing music on stage
C. A group of people on stage playing guitars and singing
D. A group of people on stage playing music at night
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 39 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::44 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What kind of sport is being played in this image? | [
{
"label": "A",
"text": "Soccer"
},
{
"label": "B",
"text": "Basketball"
},
{
"label": "C",
"text": "Football (American)"
},
{
"label": "D",
"text": "Rugby"
}
] | null | D | Question: What kind of sport is being played in this image?
Options:
A. Soccer
B. Basketball
C. Football (American)
D. Rugby
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 44 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::71 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the primary scene depicted in the image? | [
{
"label": "A",
"text": "A group of people taking pictures of a statue in a plaza"
},
{
"label": "B",
"text": "A large crowd taking pictures of each other in an outdoor event"
},
{
"label": "C",
"text": "A group of people taking pictures of a Christmas tree in a plaza"
},
{
"... | null | C | Question: What is the primary scene depicted in the image?
Options:
A. A group of people taking pictures of a statue in a plaza
B. A large crowd taking pictures of each other in an outdoor event
C. A group of people taking pictures of a Christmas tree in a plaza
D. A group of people taking pictures of a famous building... | null | Not supported with pagination yet | MMStar | 71 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::74 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the predominant sport being played in the image? | [
{
"label": "A",
"text": "football"
},
{
"label": "B",
"text": "basketball"
},
{
"label": "C",
"text": "soccer"
},
{
"label": "D",
"text": "baseball"
}
] | null | A | Question: What is the predominant sport being played in the image?
Options:
A. football
B. basketball
C. soccer
D. baseball
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 74 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::77 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is happening in the image? | [
{
"label": "A",
"text": "A football player is tackling a soccer player"
},
{
"label": "B",
"text": "A soccer player is kicking a football"
},
{
"label": "C",
"text": "A group of men are playing soccer"
},
{
"label": "D",
"text": "A football player is dribbling the ball to... | null | A | Question: What is happening in the image?
Options:
A. A football player is tackling a soccer player
B. A soccer player is kicking a football
C. A group of men are playing soccer
D. A football player is dribbling the ball towards the goal
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 77 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::84 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the primary focus of the people in the image? | [
{
"label": "A",
"text": "Watching a performance"
},
{
"label": "B",
"text": "Standing in lines for a concert"
},
{
"label": "C",
"text": "Participating in a protest"
},
{
"label": "D",
"text": "Walking down the street"
}
] | null | D | Question: What is the primary focus of the people in the image?
Options:
A. Watching a performance
B. Standing in lines for a concert
C. Participating in a protest
D. Walking down the street
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 84 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::100 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which is the main topic of the image | [
{
"label": "A",
"text": "A woman surfing"
},
{
"label": "B",
"text": "A man skiting"
},
{
"label": "C",
"text": "A man surfing"
},
{
"label": "D",
"text": "A woman skiting"
}
] | null | C | Question: Which is the main topic of the image
Options:
A. A woman surfing
B. A man skiting
C. A man surfing
D. A woman skiting
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 100 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::121 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the main activity happening in this image? | [
{
"label": "A",
"text": "A couple of men are playing soccer"
},
{
"label": "B",
"text": "A group of people are having a picnic in the park"
},
{
"label": "C",
"text": "Two men are playing cricket"
},
{
"label": "D",
"text": "A group of people are playing volleyball"
}
] | null | A | Question: What is the main activity happening in this image?
Options:
A. A couple of men are playing soccer
B. A group of people are having a picnic in the park
C. Two men are playing cricket
D. A group of people are playing volleyball
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 121 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::124 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which is the main topic of the image | [
{
"label": "A",
"text": "Driving cars"
},
{
"label": "B",
"text": "Driving buses"
},
{
"label": "C",
"text": "A driving bus"
},
{
"label": "D",
"text": "A driving car"
}
] | null | B | Question: Which is the main topic of the image
Options:
A. Driving cars
B. Driving buses
C. A driving bus
D. A driving car
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 124 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::128 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the main event in the image? | [
{
"label": "A",
"text": "A theater play"
},
{
"label": "B",
"text": "A sporting event"
},
{
"label": "C",
"text": "A concert"
},
{
"label": "D",
"text": "A dance competition"
}
] | null | D | Question: What is the main event in the image?
Options:
A. A theater play
B. A sporting event
C. A concert
D. A dance competition
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 128 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::136 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the sport being played in the image? | [
{
"label": "A",
"text": "Tennis"
},
{
"label": "B",
"text": "Soccer"
},
{
"label": "C",
"text": "Volleyball"
},
{
"label": "D",
"text": "Basketball"
}
] | null | B | Question: What is the sport being played in the image?
Options:
A. Tennis
B. Soccer
C. Volleyball
D. Basketball
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 136 | val | null | {"bench": "SEEDBench_IMG", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::204 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which is the main topic of the image | [
{
"label": "A",
"text": "A woman is playing tennis"
},
{
"label": "B",
"text": "A man is playing tennis"
},
{
"label": "C",
"text": "A boy is playing soccer"
},
{
"label": "D",
"text": "A girl is playing volleyball"
}
] | null | B | Question: Which is the main topic of the image
Options:
A. A woman is playing tennis
B. A man is playing tennis
C. A boy is playing soccer
D. A girl is playing volleyball
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 204 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::224 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which one is the correct caption of this image? | [
{
"label": "A",
"text": "A bunch of cars sitting still in the middle of a street"
},
{
"label": "B",
"text": "Two giraffes near a tree in the wild."
},
{
"label": "C",
"text": "Small personal bathroom with a tiny entrance door."
},
{
"label": "D",
"text": "An elephant dri... | null | D | Question: Which one is the correct caption of this image?
Options:
A. A bunch of cars sitting still in the middle of a street
B. Two giraffes near a tree in the wild.
C. Small personal bathroom with a tiny entrance door.
D. An elephant drinking water while the rest of the herd is walking in dry grass.
Please select the... | null | Not supported with pagination yet | MMStar | 224 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::227 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which of the following captions best describes this image? | [
{
"label": "A",
"text": "A person playing a guitar on a stage"
},
{
"label": "B",
"text": "A group of people dancing at a party"
},
{
"label": "C",
"text": "A singer performing on a microphone"
},
{
"label": "D",
"text": "A person playing a piano in a studio"
}
] | null | B | Question: Which of the following captions best describes this image?
Options:
A. A person playing a guitar on a stage
B. A group of people dancing at a party
C. A singer performing on a microphone
D. A person playing a piano in a studio
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 227 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::229 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What kind of human behavior does this picture describe? | [
{
"label": "A",
"text": "A doctor is performing surgery in a hospital, using advanced techniques and technology to save lives and restore health to patients in need."
},
{
"label": "B",
"text": "A couple is horseback riding on a trail, cantering and galloping through scenic terrain while bonding... | null | C | Question: What kind of human behavior does this picture describe?
Options:
A. A doctor is performing surgery in a hospital, using advanced techniques and technology to save lives and restore health to patients in need.
B. A couple is horseback riding on a trail, cantering and galloping through scenic terrain while bond... | null | Not supported with pagination yet | MMStar | 229 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::234 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which of the following captions best describes this image? | [
{
"label": "A",
"text": "A person taking a photo with a camera"
},
{
"label": "B",
"text": "A group of people watching a movie in a theater"
},
{
"label": "C",
"text": "A person reading a book in a library"
},
{
"label": "D",
"text": "A woman applying makeup in front of a... | null | D | Question: Which of the following captions best describes this image?
Options:
A. A person taking a photo with a camera
B. A group of people watching a movie in a theater
C. A person reading a book in a library
D. A woman applying makeup in front of a mirror
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 234 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::241 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which of the following captions best describes this image? | [
{
"label": "A",
"text": "A person holding a bouquet of flowers"
},
{
"label": "B",
"text": "A group of people eating at a restaurant"
},
{
"label": "C",
"text": "A person playing with a pet dog"
},
{
"label": "D",
"text": "A woman getting a pedicure at a salon"
}
] | null | D | Question: Which of the following captions best describes this image?
Options:
A. A person holding a bouquet of flowers
B. A group of people eating at a restaurant
C. A person playing with a pet dog
D. A woman getting a pedicure at a salon
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 241 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::242 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which of the following captions best describes this image? | [
{
"label": "A",
"text": "A group of people sitting around a campfire"
},
{
"label": "B",
"text": "A person kayaking on a lake"
},
{
"label": "C",
"text": "A family having a picnic in a park"
},
{
"label": "D",
"text": "A person hiking on a mountain trail"
}
] | null | A | Question: Which of the following captions best describes this image?
Options:
A. A group of people sitting around a campfire
B. A person kayaking on a lake
C. A family having a picnic in a park
D. A person hiking on a mountain trail
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 242 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::243 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which of the following captions best describes this image? | [
{
"label": "A",
"text": "A group of people playing soccer in a field"
},
{
"label": "B",
"text": "A woman walking her dog on a beach"
},
{
"label": "C",
"text": "A man riding a bicycle on a mountain trail"
},
{
"label": "D",
"text": "A child playing with a ball in a park"... | null | A | Question: Which of the following captions best describes this image?
Options:
A. A group of people playing soccer in a field
B. A woman walking her dog on a beach
C. A man riding a bicycle on a mountain trail
D. A child playing with a ball in a park
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 243 | val | null | {"bench": "MMBench", "category": "coarse perception", "l2_category": "image scene and topic", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::358 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which term matches the picture? | [
{
"label": "A",
"text": "filtration"
},
{
"label": "B",
"text": "centrifugation"
}
] | null | A | Question: Which term matches the picture?
Options:
A. filtration
B. centrifugation
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 358 | val | null | {"bench": "ScienceQA_TEST", "category": "fine-grained perception", "l2_category": "recognition", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::377 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Is there a person walking in the image? | [
{
"label": "A",
"text": "The image is too blurry to tell"
},
{
"label": "B",
"text": "No"
},
{
"label": "C",
"text": "There is more than one person walking"
},
{
"label": "D",
"text": "Yes"
}
] | null | B | Question: Is there a person walking in the image?
Options:
A. The image is too blurry to tell
B. No
C. There is more than one person walking
D. Yes
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 377 | val | null | {"bench": "SEEDBench_IMG", "category": "fine-grained perception", "l2_category": "recognition", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::394 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the activity of the person in the foreground? | [
{
"label": "A",
"text": "sitting"
},
{
"label": "B",
"text": "running"
},
{
"label": "C",
"text": "playing soccer"
},
{
"label": "D",
"text": "watching the game"
}
] | null | C | Question: What is the activity of the person in the foreground?
Options:
A. sitting
B. running
C. playing soccer
D. watching the game
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 394 | val | null | {"bench": "SEEDBench_IMG", "category": "fine-grained perception", "l2_category": "recognition", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::585 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which is a full grown plant? | [
{
"label": "A",
"text": "d"
},
{
"label": "B",
"text": "b"
},
{
"label": "C",
"text": "c"
},
{
"label": "D",
"text": "a"
}
] | null | A | Question: Which is a full grown plant?
Options:
A. d
B. b
C. c
D. a
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 585 | val | null | {"bench": "AI2D_TEST", "category": "instance reasoning", "l2_category": "single-instance reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::587 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which picture depicts cell division? | [
{
"label": "A",
"text": "B"
},
{
"label": "B",
"text": "A"
},
{
"label": "C",
"text": "C"
},
{
"label": "D",
"text": "{}"
}
] | null | C | Question: Which picture depicts cell division?
Options:
A. B
B. A
C. C
D. {}
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 587 | val | null | {"bench": "AI2D_TEST", "category": "instance reasoning", "l2_category": "cross-instance attribute reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::592 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which is the final stage of a plant growth? | [
{
"label": "A",
"text": "D"
},
{
"label": "B",
"text": "E"
},
{
"label": "C",
"text": "C"
},
{
"label": "D",
"text": "A"
}
] | null | A | Question: Which is the final stage of a plant growth?
Options:
A. D
B. E
C. C
D. A
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 592 | val | null | {"bench": "AI2D_TEST", "category": "instance reasoning", "l2_category": "cross-instance attribute reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::638 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which action is performed in this image? | [
{
"label": "A",
"text": "swimming backstroke"
},
{
"label": "B",
"text": "jumping into pool"
},
{
"label": "C",
"text": "situp"
},
{
"label": "D",
"text": "water sliding"
}
] | null | C | Question: Which action is performed in this image?
Options:
A. swimming backstroke
B. jumping into pool
C. situp
D. water sliding
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 638 | val | null | {"bench": "MMBench", "category": "instance reasoning", "l2_category": "single-instance reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::675 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the main activity of the two babies in the image? | [
{
"label": "A",
"text": "Eating toys on the floor"
},
{
"label": "B",
"text": "Playing with each other"
},
{
"label": "C",
"text": "Crying and crawling"
},
{
"label": "D",
"text": "Sitting still and staring"
}
] | null | D | Question: What is the main activity of the two babies in the image?
Options:
A. Eating toys on the floor
B. Playing with each other
C. Crying and crawling
D. Sitting still and staring
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 675 | val | null | {"bench": "SEEDBench_IMG", "category": "instance reasoning", "l2_category": "cross-instance attribute reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::758 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the basketball player on the left doing in the image? | [
{
"label": "A",
"text": "Dribbling the ball"
},
{
"label": "B",
"text": "Throwing the ball to a teammate"
},
{
"label": "C",
"text": "Trying to tackle the other player"
},
{
"label": "D",
"text": "Standing still"
}
] | null | C | Question: What is the basketball player on the left doing in the image?
Options:
A. Dribbling the ball
B. Throwing the ball to a teammate
C. Trying to tackle the other player
D. Standing still
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 758 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::794 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the person is gonna fall off the ladder"
},
{
"label": "B",
"text": "the person is gonna stand still on the ladder"
},
{
"label": "C",
"text": "someone is gonna come and hold the ladder"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | A | Question: What will happen next?
Options:
A. the person is gonna fall off the ladder
B. the person is gonna stand still on the ladder
C. someone is gonna come and hold the ladder
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 794 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::795 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the kid is gonna slide through"
},
{
"label": "B",
"text": "the kid is gonna crash into the other kid"
},
{
"label": "C",
"text": "the other kid is gonna dodge"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | D | Question: What will happen next?
Options:
A. the kid is gonna slide through
B. the kid is gonna crash into the other kid
C. the other kid is gonna dodge
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 795 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::796 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the man is gonna walk back"
},
{
"label": "B",
"text": "the man is gonna fall"
},
{
"label": "C",
"text": "the man is gonna get up"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | B | Question: What will happen next?
Options:
A. the man is gonna walk back
B. the man is gonna fall
C. the man is gonna get up
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 796 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::798 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Based on the player's body position, what is the most likely outcome of the hit? | [
{
"label": "A",
"text": "A home run"
},
{
"label": "B",
"text": "A foul ball"
},
{
"label": "C",
"text": "A ground ball"
},
{
"label": "D",
"text": "A fly ball"
}
] | null | B | Question: Based on the player's body position, what is the most likely outcome of the hit?
Options:
A. A home run
B. A foul ball
C. A ground ball
D. A fly ball
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 798 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::810 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the main activity of the people on the beach? | [
{
"label": "A",
"text": "Sunbathing"
},
{
"label": "B",
"text": "Having a picnic"
},
{
"label": "C",
"text": "Playing volleyball"
},
{
"label": "D",
"text": "Swimming"
}
] | null | A | Question: What is the main activity of the people on the beach?
Options:
A. Sunbathing
B. Having a picnic
C. Playing volleyball
D. Swimming
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 810 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::831 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the motorcyle is gonna go forward"
},
{
"label": "B",
"text": "the motorcyle is gonna crash"
},
{
"label": "C",
"text": "the motorcyle is gonna go backward"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | B | Question: What will happen next?
Options:
A. the motorcyle is gonna go forward
B. the motorcyle is gonna crash
C. the motorcyle is gonna go backward
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 831 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::834 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the referee doing in the image? | [
{
"label": "A",
"text": "Blowing the whistle"
},
{
"label": "B",
"text": "Talking to the players"
},
{
"label": "C",
"text": "Watching the match from the sideline"
},
{
"label": "D",
"text": "Scoring the goal"
}
] | null | C | Question: What is the referee doing in the image?
Options:
A. Blowing the whistle
B. Talking to the players
C. Watching the match from the sideline
D. Scoring the goal
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 834 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::841 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the bike is gonna get stuck in the mud"
},
{
"label": "B",
"text": "the bike is gonna run forward"
},
{
"label": "C",
"text": "the bike is gonna go backwards"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | A | Question: What will happen next?
Options:
A. the bike is gonna get stuck in the mud
B. the bike is gonna run forward
C. the bike is gonna go backwards
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 841 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::857 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which action is performed in this image? | [
{
"label": "A",
"text": "singing"
},
{
"label": "B",
"text": "abseiling"
},
{
"label": "C",
"text": "paragliding"
},
{
"label": "D",
"text": "celebrating"
}
] | null | C | Question: Which action is performed in this image?
Options:
A. singing
B. abseiling
C. paragliding
D. celebrating
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 857 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::885 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the man in the suit doing on the soccer field? | [
{
"label": "A",
"text": "Playing soccer"
},
{
"label": "B",
"text": "Coaching the team"
},
{
"label": "C",
"text": "Celebrating with the team"
},
{
"label": "D",
"text": "Refereeing the game"
}
] | null | C | Question: What is the man in the suit doing on the soccer field?
Options:
A. Playing soccer
B. Coaching the team
C. Celebrating with the team
D. Refereeing the game
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 885 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::894 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What might the woman in the image be doing? | [
{
"label": "A",
"text": "Giving a presentation at work"
},
{
"label": "B",
"text": "Teaching in a classroom"
},
{
"label": "C",
"text": "Protesting in a demonstration"
},
{
"label": "D",
"text": "Asking for directions"
}
] | null | B | Question: What might the woman in the image be doing?
Options:
A. Giving a presentation at work
B. Teaching in a classroom
C. Protesting in a demonstration
D. Asking for directions
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 894 | val | null | {"bench": "SEEDBench_IMG", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::906 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What stage comes after egg? | [
{
"label": "A",
"text": "beetle"
},
{
"label": "B",
"text": "caterpillar"
},
{
"label": "C",
"text": "pupa"
},
{
"label": "D",
"text": "mealworm"
}
] | null | D | Question: What stage comes after egg?
Options:
A. beetle
B. caterpillar
C. pupa
D. mealworm
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 906 | val | null | {"bench": "AI2D_TEST", "category": "logical reasoning", "l2_category": "diagram reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::955 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the woman is gonna grab the suitcase"
},
{
"label": "B",
"text": "the suitcase is gonna fall off the escalator"
},
{
"label": "C",
"text": "the suitcase is gonna stay still"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | B | Question: What will happen next?
Options:
A. the woman is gonna grab the suitcase
B. the suitcase is gonna fall off the escalator
C. the suitcase is gonna stay still
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 955 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::958 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "the girls is gonna turn the pan around"
},
{
"label": "B",
"text": "the pan itself is gonna fly into the woman's face"
},
{
"label": "C",
"text": "nothing is gonna happen"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | B | Question: What will happen next?
Options:
A. the girls is gonna turn the pan around
B. the pan itself is gonna fly into the woman's face
C. nothing is gonna happen
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 958 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "common reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::999 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What will happen next? | [
{
"label": "A",
"text": "this person is gonna cry"
},
{
"label": "B",
"text": "this person is gonna laugh"
},
{
"label": "C",
"text": "this person is gonna get mad"
},
{
"label": "D",
"text": "both A,B, and C"
}
] | null | B | Question: What will happen next?
Options:
A. this person is gonna cry
B. this person is gonna laugh
C. this person is gonna get mad
D. both A,B, and C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 999 | val | null | {"bench": "MMBench", "category": "logical reasoning", "l2_category": "code & sequence reasoning", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1329 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | In the diagram shown above, What is the next stage after the fruit releases seeds? | [
{
"label": "A",
"text": "The plant dies"
},
{
"label": "B",
"text": "The plant grows"
},
{
"label": "C",
"text": "The seed germinates"
},
{
"label": "D",
"text": "The flower produces fruit"
}
] | null | A | Question: In the diagram shown above, What is the next stage after the fruit releases seeds?
Options:
A. The plant dies
B. The plant grows
C. The seed germinates
D. The flower produces fruit
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1329 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1362 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What label shows the transplanted seedling? | [
{
"label": "A",
"text": "E"
},
{
"label": "B",
"text": "B"
},
{
"label": "C",
"text": "C"
},
{
"label": "D",
"text": "D"
}
] | null | A | Question: What label shows the transplanted seedling?
Options:
A. E
B. B
C. C
D. D
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1362 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1365 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which stage in the given diagram represents the pupal stage? | [
{
"label": "A",
"text": "B"
},
{
"label": "B",
"text": "D"
},
{
"label": "C",
"text": "C"
},
{
"label": "D",
"text": "A"
}
] | null | D | Question: Which stage in the given diagram represents the pupal stage?
Options:
A. B
B. D
C. C
D. A
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1365 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1368 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Which letter corresponds to the stage where two different daughter cells are formed? | [
{
"label": "A",
"text": "D"
},
{
"label": "B",
"text": "B"
},
{
"label": "C",
"text": "A"
},
{
"label": "D",
"text": "C"
}
] | null | B | Question: Which letter corresponds to the stage where two different daughter cells are formed?
Options:
A. D
B. B
C. A
D. C
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1368 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1369 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What stage shown at letter D in the above diagram? | [
{
"label": "A",
"text": "PUPAE"
},
{
"label": "B",
"text": "ADULT"
},
{
"label": "C",
"text": "EGG"
},
{
"label": "D",
"text": "LARVAE"
}
] | null | C | Question: What stage shown at letter D in the above diagram?
Options:
A. PUPAE
B. ADULT
C. EGG
D. LARVAE
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1369 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMStar::val::1373 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What stage is shown at letter C in the photo? | [
{
"label": "A",
"text": "water-filled cracks"
},
{
"label": "B",
"text": "frost wedging"
},
{
"label": "C",
"text": "breaks rock"
},
{
"label": "D",
"text": "freezes to ice"
}
] | null | D | Question: What stage is shown at letter C in the photo?
Options:
A. water-filled cracks
B. frost wedging
C. breaks rock
D. freezes to ice
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMStar | 1373 | val | null | {"bench": "AI2D_TEST", "category": "science & technology", "l2_category": "biology & chemistry & physics", "source_tsv": "MMStar.tsv", "source_tsv_md5": "e1ecd2140806c1b1bbf54b43372efb9e", "source_url": "https://opencompass.openxlab.space/utils/VLMEval/MMStar.tsv"} | 0 | |
MMT-Bench_VAL::val::1 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "From beneath the toilet door panel, a hand is reaching out with an upward-facing palm to receive chopsticks and a spoon from someone outside."
},
{
"label": "B",
"text": "The hand is asking for help to get out of the bathroom."
},
{
"label": "C",
"text": "The... | null | A | Question: Please generate a description for this meme
Options:
A. From beneath the toilet door panel, a hand is reaching out with an upward-facing palm to receive chopsticks and a spoon from someone outside.
B. The hand is asking for help to get out of the bathroom.
C. The hand is actually reaching out for a handshake.... | null | Not supported with pagination yet | MMT-Bench_VAL | 1 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::2 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "The person's initial approach seemed like they were catching a dangerous animal, but the final outcome of catching a belt was mundane."
},
{
"label": "B",
"text": "The person's initial careful approach seemed like they were catching a live fish, but the final outcome of ... | null | C | Question: Please generate a description for this meme
Options:
A. The person's initial approach seemed like they were catching a dangerous animal, but the final outcome of catching a belt was mundane.
B. The person's initial careful approach seemed like they were catching a live fish, but the final outcome of catching ... | null | Not supported with pagination yet | MMT-Bench_VAL | 2 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::3 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "Following the cleaning session, the individual tucked the broom beneath their armpit and subsequently couldn't locate it."
},
{
"label": "B",
"text": "The person comically mistook a mop for a broom and started using it as a microphone instead."
},
{
"label": "C",... | null | A | Question: Please generate a description for this meme
Options:
A. Following the cleaning session, the individual tucked the broom beneath their armpit and subsequently couldn't locate it.
B. The person comically mistook a mop for a broom and started using it as a microphone instead.
C. After finishing the cleaning, the... | null | Not supported with pagination yet | MMT-Bench_VAL | 3 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::8 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "A man in a white shirt is standing on a skateboard and doing stunts."
},
{
"label": "B",
"text": "A child in a green shirt is playing with a ball and jumping on a trampoline."
},
{
"label": "C",
"text": "A person wearing a blue jacket is dancing in the rain w... | null | D | Question: Please generate a description for this meme
Options:
A. A man in a white shirt is standing on a skateboard and doing stunts.
B. A child in a green shirt is playing with a ball and jumping on a trampoline.
C. A person wearing a blue jacket is dancing in the rain with an umbrella.
D. A child wearing an orange ... | null | Not supported with pagination yet | MMT-Bench_VAL | 8 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::11 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "A dog ran through and caused chaos by knocking over a table."
},
{
"label": "B",
"text": "A man suddenly tripped and knocked over a stack of chairs."
},
{
"label": "C",
"text": "When a woman fell, she inadvertently caused another woman to lose her balance."
... | null | C | Question: Please generate a description for this meme
Options:
A. A dog ran through and caused chaos by knocking over a table.
B. A man suddenly tripped and knocked over a stack of chairs.
C. When a woman fell, she inadvertently caused another woman to lose her balance.
D. Two people collided while trying to catch a fl... | null | Not supported with pagination yet | MMT-Bench_VAL | 11 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::18 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "A person slipped and slid down the icy stairs to the very bottom, and the second person, who observed the first person's fall, also slipped and fell."
},
{
"label": "B",
"text": "The first person managed to avoid slipping and falling down the icy stairs."
},
{
"l... | null | A | Question: Please generate a description for this meme
Options:
A. A person slipped and slid down the icy stairs to the very bottom, and the second person, who observed the first person's fall, also slipped and fell.
B. The first person managed to avoid slipping and falling down the icy stairs.
C. The second person smoo... | null | Not supported with pagination yet | MMT-Bench_VAL | 18 | val | cc-by-4.0 | {"category": "meme_vedio_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::205 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "A close-up of a flower with dew drops."
},
{
"label": "B",
"text": "A group of people dancing in a circle."
},
{
"label": "C",
"text": "An animated figure of a gray haired man is standing with his hands lifted up in front of him."
},
{
"label": "D",
... | null | C | Question: Please generate a description for this meme
Options:
A. A close-up of a flower with dew drops.
B. A group of people dancing in a circle.
C. An animated figure of a gray haired man is standing with his hands lifted up in front of him.
D. An image of a young woman sitting on a bench.
Please select the correct a... | null | Not supported with pagination yet | MMT-Bench_VAL | 205 | val | cc-by-4.0 | {"category": "meme_image_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::213 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "Keanu Reeves is sitting on a bench in a park."
},
{
"label": "B",
"text": "Keanu Reeves is riding a bicycle in the city."
},
{
"label": "C",
"text": "Keanu Reeves is strapped to a chair with wires hanging from his head."
},
{
"label": "D",
"text":... | null | C | Question: Please generate a description for this meme
Options:
A. Keanu Reeves is sitting on a bench in a park.
B. Keanu Reeves is riding a bicycle in the city.
C. Keanu Reeves is strapped to a chair with wires hanging from his head.
D. Keanu Reeves is cooking in a restaurant.
Please select the correct answer from the ... | null | Not supported with pagination yet | MMT-Bench_VAL | 213 | val | cc-by-4.0 | {"category": "meme_image_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::219 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | Please generate a description for this meme | [
{
"label": "A",
"text": "A young man is playing a guitar on a beach."
},
{
"label": "B",
"text": "A child is eating ice cream in a park."
},
{
"label": "C",
"text": "An old woman is singing on a stage."
},
{
"label": "D",
"text": "A old man is reading from a paper at a po... | null | D | Question: Please generate a description for this meme
Options:
A. A young man is playing a guitar on a beach.
B. A child is eating ice cream in a park.
C. An old woman is singing on a stage.
D. A old man is reading from a paper at a podium.
Please select the correct answer from the options above.
| null | Not supported with pagination yet | MMT-Bench_VAL | 219 | val | cc-by-4.0 | {"category": "meme_image_understanding", "l2-category": "meme_understanding", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9675 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.091, 0.241, 0.48, 0.677] and [0.408, 0.464, 0.97, 0.7])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner of ... | [
{
"label": "A",
"text": "teach"
},
{
"label": "B",
"text": "greet"
},
{
"label": "C",
"text": "hug"
},
{
"label": "D",
"text": "tag"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.091, 0.241, 0.48, 0.677] and [0.408, 0.464, 0.97, 0.7])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | null | Not supported with pagination yet | MMT-Bench_VAL | 9675 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9676 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.47, 0.05, 0.883, 0.995] and [0.134, 0.02, 0.575, 0.996])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner of... | [
{
"label": "A",
"text": "hold"
},
{
"label": "B",
"text": "lick"
},
{
"label": "C",
"text": "stab"
},
{
"label": "D",
"text": "hug"
}
] | null | C | Question: What is the interaction relationship between these two people ([0.47, 0.05, 0.883, 0.995] and [0.134, 0.02, 0.575, 0.996])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | null | Not supported with pagination yet | MMT-Bench_VAL | 9676 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9677 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.002, 0.037, 0.95, 0.991] and [0.409, 0.063, 0.998, 0.986])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner ... | [
{
"label": "A",
"text": "kiss"
},
{
"label": "B",
"text": "stab"
},
{
"label": "C",
"text": "hug"
},
{
"label": "D",
"text": "hold"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.002, 0.037, 0.95, 0.991] and [0.409, 0.063, 0.998, 0.986])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-rig... | null | Not supported with pagination yet | MMT-Bench_VAL | 9677 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9678 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.397, 0.371, 0.572, 0.738] and [0.575, 0.279, 0.688, 0.762])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "pat"
},
{
"label": "B",
"text": "hug"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "bend"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.397, 0.371, 0.572, 0.738] and [0.575, 0.279, 0.688, 0.762])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9678 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9679 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.309, 0.312, 0.434, 0.829] and [0.422, 0.312, 0.722, 0.812])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "handshake"
},
{
"label": "B",
"text": "pat"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "bend"
}
] | null | C | Question: What is the interaction relationship between these two people ([0.309, 0.312, 0.434, 0.829] and [0.422, 0.312, 0.722, 0.812])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9679 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9680 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.269, 0.158, 0.503, 0.783] and [0.409, 0.15, 0.741, 0.787])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner ... | [
{
"label": "A",
"text": "box"
},
{
"label": "B",
"text": "handshake"
},
{
"label": "C",
"text": "bend"
},
{
"label": "D",
"text": "highfive"
}
] | null | A | Question: What is the interaction relationship between these two people ([0.269, 0.158, 0.503, 0.783] and [0.409, 0.15, 0.741, 0.787])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-rig... | null | Not supported with pagination yet | MMT-Bench_VAL | 9680 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9681 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.397, 0.329, 0.675, 0.804] and [0.606, 0.292, 0.716, 0.817])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "bend"
},
{
"label": "B",
"text": "hug"
},
{
"label": "C",
"text": "pat"
},
{
"label": "D",
"text": "kick"
}
] | null | C | Question: What is the interaction relationship between these two people ([0.397, 0.329, 0.675, 0.804] and [0.606, 0.292, 0.716, 0.817])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9681 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9682 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.444, 0.221, 0.594, 0.771] and [0.594, 0.275, 0.759, 0.779])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "pat"
},
{
"label": "B",
"text": "bend"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "handshake"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.444, 0.221, 0.594, 0.771] and [0.594, 0.275, 0.759, 0.779])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9682 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9683 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.491, 0.425, 0.787, 0.908] and [0.297, 0.292, 0.431, 0.921])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "bend"
},
{
"label": "B",
"text": "handshake"
},
{
"label": "C",
"text": "box"
},
{
"label": "D",
"text": "kick"
}
] | null | A | Question: What is the interaction relationship between these two people ([0.491, 0.425, 0.787, 0.908] and [0.297, 0.292, 0.431, 0.921])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9683 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9684 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.334, 0.258, 0.494, 0.829] and [0.475, 0.317, 0.634, 0.812])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "highfive"
},
{
"label": "B",
"text": "kick"
},
{
"label": "C",
"text": "handshake"
},
{
"label": "D",
"text": "hug"
}
] | null | C | Question: What is the interaction relationship between these two people ([0.334, 0.258, 0.494, 0.829] and [0.475, 0.317, 0.634, 0.812])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9684 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9685 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.294, 0.2, 0.453, 0.642] and [0.459, 0.167, 0.616, 0.7])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner of ... | [
{
"label": "A",
"text": "hug"
},
{
"label": "B",
"text": "handshake"
},
{
"label": "C",
"text": "bend"
},
{
"label": "D",
"text": "kick"
}
] | null | B | Question: What is the interaction relationship between these two people ([0.294, 0.2, 0.453, 0.642] and [0.459, 0.167, 0.616, 0.7])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | null | Not supported with pagination yet | MMT-Bench_VAL | 9685 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9686 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.247, 0.146, 0.431, 0.9] and [0.284, 0.167, 0.597, 0.904])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner o... | [
{
"label": "A",
"text": "hug"
},
{
"label": "B",
"text": "handshake"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "pat"
}
] | null | A | Question: What is the interaction relationship between these two people ([0.247, 0.146, 0.431, 0.9] and [0.284, 0.167, 0.597, 0.904])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-righ... | null | Not supported with pagination yet | MMT-Bench_VAL | 9686 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9687 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.188, 0.263, 0.447, 0.879] and [0.487, 0.163, 0.684, 0.883])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "hug"
},
{
"label": "B",
"text": "bend"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "pat"
}
] | null | B | Question: What is the interaction relationship between these two people ([0.188, 0.263, 0.447, 0.879] and [0.487, 0.163, 0.684, 0.883])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9687 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9688 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.347, 0.012, 0.983, 0.996] and [0.011, 0.07, 0.5, 0.994])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner of... | [
{
"label": "A",
"text": "hug"
},
{
"label": "B",
"text": "lick"
},
{
"label": "C",
"text": "stab"
},
{
"label": "D",
"text": "hold"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.347, 0.012, 0.983, 0.996] and [0.011, 0.07, 0.5, 0.994])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | null | Not supported with pagination yet | MMT-Bench_VAL | 9688 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9689 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.422, 0.333, 0.588, 0.796] and [0.484, 0.296, 0.641, 0.808])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "handshake"
},
{
"label": "B",
"text": "kick"
},
{
"label": "C",
"text": "pat"
},
{
"label": "D",
"text": "hug"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.422, 0.333, 0.588, 0.796] and [0.484, 0.296, 0.641, 0.808])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9689 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9690 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.553, 0.263, 0.691, 0.625] and [0.594, 0.233, 0.744, 0.6])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner o... | [
{
"label": "A",
"text": "box"
},
{
"label": "B",
"text": "kick"
},
{
"label": "C",
"text": "pat"
},
{
"label": "D",
"text": "hug"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.553, 0.263, 0.691, 0.625] and [0.594, 0.233, 0.744, 0.6])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-righ... | null | Not supported with pagination yet | MMT-Bench_VAL | 9690 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9691 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.438, 0.225, 0.566, 0.621] and [0.575, 0.229, 0.681, 0.613])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner... | [
{
"label": "A",
"text": "kick"
},
{
"label": "B",
"text": "bend"
},
{
"label": "C",
"text": "hug"
},
{
"label": "D",
"text": "pat"
}
] | null | B | Question: What is the interaction relationship between these two people ([0.438, 0.225, 0.566, 0.621] and [0.575, 0.229, 0.681, 0.613])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-ri... | null | Not supported with pagination yet | MMT-Bench_VAL | 9691 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9692 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.328, 0.15, 0.537, 0.779] and [0.506, 0.146, 0.734, 0.758])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner ... | [
{
"label": "A",
"text": "handshake"
},
{
"label": "B",
"text": "pat"
},
{
"label": "C",
"text": "kick"
},
{
"label": "D",
"text": "hug"
}
] | null | D | Question: What is the interaction relationship between these two people ([0.328, 0.15, 0.537, 0.779] and [0.506, 0.146, 0.734, 0.758])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-rig... | null | Not supported with pagination yet | MMT-Bench_VAL | 9692 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9693 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.397, 0.338, 0.566, 0.9] and [0.556, 0.354, 0.706, 0.896])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner o... | [
{
"label": "A",
"text": "hug"
},
{
"label": "B",
"text": "handshake"
},
{
"label": "C",
"text": "highfive"
},
{
"label": "D",
"text": "bend"
}
] | null | B | Question: What is the interaction relationship between these two people ([0.397, 0.338, 0.566, 0.9] and [0.556, 0.354, 0.706, 0.896])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-righ... | null | Not supported with pagination yet | MMT-Bench_VAL | 9693 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9694 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between these two people ([0.319, 0.383, 0.45, 0.9] and [0.481, 0.346, 0.644, 0.9])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corner of t... | [
{
"label": "A",
"text": "handshake"
},
{
"label": "B",
"text": "hug"
},
{
"label": "C",
"text": "bend"
},
{
"label": "D",
"text": "kick"
}
] | null | A | Question: What is the interaction relationship between these two people ([0.319, 0.383, 0.45, 0.9] and [0.481, 0.346, 0.644, 0.9])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right c... | null | Not supported with pagination yet | MMT-Bench_VAL | 9694 | val | cc-by-4.0 | {"category": "human_interaction_understanding", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9875 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.091, 0.365, 0.322, 0.99]) and the object ([0.005, 0.531, 0.466, 0.988])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | [
{
"label": "A",
"text": "lie_on"
},
{
"label": "B",
"text": "sit_at"
},
{
"label": "C",
"text": "stand_on"
},
{
"label": "D",
"text": "sit_on"
}
] | null | D | Question: What is the interaction relationship between the people ([0.091, 0.365, 0.322, 0.99]) and the object ([0.005, 0.531, 0.466, 0.988])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bot... | null | Not supported with pagination yet | MMT-Bench_VAL | 9875 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9876 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.361, 0.346, 0.717, 0.996]) and the object ([0.498, 0.569, 0.562, 0.979])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "wash"
},
{
"label": "B",
"text": "pick"
},
{
"label": "C",
"text": "buy"
},
{
"label": "D",
"text": "wear"
}
] | null | D | Question: What is the interaction relationship between the people ([0.361, 0.346, 0.717, 0.996]) and the object ([0.498, 0.569, 0.562, 0.979])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9876 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9877 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.033, 0.295, 0.892, 0.998]) and the object ([0.24, 0.616, 0.388, 0.828])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | [
{
"label": "A",
"text": "hit"
},
{
"label": "B",
"text": "pick"
},
{
"label": "C",
"text": "hold"
},
{
"label": "D",
"text": "push"
}
] | null | C | Question: What is the interaction relationship between the people ([0.033, 0.295, 0.892, 0.998]) and the object ([0.24, 0.616, 0.388, 0.828])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bot... | null | Not supported with pagination yet | MMT-Bench_VAL | 9877 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9878 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.237, 0.428, 0.352, 0.872]) and the object ([0.364, 0.578, 0.433, 0.806])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "no_interaction"
},
{
"label": "B",
"text": "hit"
},
{
"label": "C",
"text": "block"
},
{
"label": "D",
"text": "greet"
}
] | null | A | Question: What is the interaction relationship between the people ([0.237, 0.428, 0.352, 0.872]) and the object ([0.364, 0.578, 0.433, 0.806])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9878 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9879 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.245, 0.18, 0.864, 0.871]) and the object ([0.403, 0.677, 0.595, 0.796])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | [
{
"label": "A",
"text": "serve"
},
{
"label": "B",
"text": "eat"
},
{
"label": "C",
"text": "cook"
},
{
"label": "D",
"text": "drink_with"
}
] | null | B | Question: What is the interaction relationship between the people ([0.245, 0.18, 0.864, 0.871]) and the object ([0.403, 0.677, 0.595, 0.796])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bot... | null | Not supported with pagination yet | MMT-Bench_VAL | 9879 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9880 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.053, 0.5, 0.105, 0.769]) and the object ([0.172, 0.141, 0.991, 0.994])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right c... | [
{
"label": "A",
"text": "hit"
},
{
"label": "B",
"text": "inspect"
},
{
"label": "C",
"text": "block"
},
{
"label": "D",
"text": "no_interaction"
}
] | null | D | Question: What is the interaction relationship between the people ([0.053, 0.5, 0.105, 0.769]) and the object ([0.172, 0.141, 0.991, 0.994])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bott... | null | Not supported with pagination yet | MMT-Bench_VAL | 9880 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9881 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.441, 0.129, 0.95, 0.996]) and the object ([0.536, 0.567, 0.653, 0.844])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | [
{
"label": "A",
"text": "hold"
},
{
"label": "B",
"text": "hit"
},
{
"label": "C",
"text": "block"
},
{
"label": "D",
"text": "greet"
}
] | null | A | Question: What is the interaction relationship between the people ([0.441, 0.129, 0.95, 0.996]) and the object ([0.536, 0.567, 0.653, 0.844])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bot... | null | Not supported with pagination yet | MMT-Bench_VAL | 9881 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9882 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.025, 0.419, 0.294, 1.0]) and the object ([0.267, 0.26, 1.0, 0.778])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right corn... | [
{
"label": "A",
"text": "park"
},
{
"label": "B",
"text": "drive"
},
{
"label": "C",
"text": "ride"
},
{
"label": "D",
"text": "operate"
}
] | null | B | Question: What is the interaction relationship between the people ([0.025, 0.419, 0.294, 1.0]) and the object ([0.267, 0.26, 1.0, 0.778])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-... | null | Not supported with pagination yet | MMT-Bench_VAL | 9882 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9883 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.45, 0.075, 0.966, 0.844]) and the object ([0.37, 0.489, 0.798, 0.792])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right c... | [
{
"label": "A",
"text": "type_on"
},
{
"label": "B",
"text": "greet"
},
{
"label": "C",
"text": "hit"
},
{
"label": "D",
"text": "write"
}
] | null | A | Question: What is the interaction relationship between the people ([0.45, 0.075, 0.966, 0.844]) and the object ([0.37, 0.489, 0.798, 0.792])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bott... | null | Not supported with pagination yet | MMT-Bench_VAL | 9883 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9884 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.303, 0.006, 0.816, 0.464]) and the object ([0.287, 0.006, 0.773, 0.936])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "jump"
},
{
"label": "B",
"text": "climb"
},
{
"label": "C",
"text": "sit_on"
},
{
"label": "D",
"text": "stand_on"
}
] | null | D | Question: What is the interaction relationship between the people ([0.303, 0.006, 0.816, 0.464]) and the object ([0.287, 0.006, 0.773, 0.936])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9884 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9885 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.003, 0.003, 0.78, 0.562]) and the object ([0.182, 0.522, 0.967, 0.858])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right ... | [
{
"label": "A",
"text": "block"
},
{
"label": "B",
"text": "cut"
},
{
"label": "C",
"text": "greet"
},
{
"label": "D",
"text": "hit"
}
] | null | B | Question: What is the interaction relationship between the people ([0.003, 0.003, 0.78, 0.562]) and the object ([0.182, 0.522, 0.967, 0.858])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bot... | null | Not supported with pagination yet | MMT-Bench_VAL | 9885 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9886 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.155, 0.122, 0.891, 0.827]) and the object ([0.203, 0.425, 0.559, 0.803])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "smell"
},
{
"label": "B",
"text": "eat"
},
{
"label": "C",
"text": "cook"
},
{
"label": "D",
"text": "lick"
}
] | null | B | Question: What is the interaction relationship between the people ([0.155, 0.122, 0.891, 0.827]) and the object ([0.203, 0.425, 0.559, 0.803])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9886 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9887 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.348, 0.117, 0.633, 0.984]) and the object ([0.589, 0.276, 0.998, 0.799])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "feed"
},
{
"label": "B",
"text": "carry"
},
{
"label": "C",
"text": "hit"
},
{
"label": "D",
"text": "clean"
}
] | null | A | Question: What is the interaction relationship between the people ([0.348, 0.117, 0.633, 0.984]) and the object ([0.589, 0.276, 0.998, 0.799])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9887 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9888 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.642, 0.429, 0.794, 0.958]) and the object ([0.003, 0.009, 0.558, 0.991])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "hit"
},
{
"label": "B",
"text": "no_interaction"
},
{
"label": "C",
"text": "talk_on"
},
{
"label": "D",
"text": "greet"
}
] | null | B | Question: What is the interaction relationship between the people ([0.642, 0.429, 0.794, 0.958]) and the object ([0.003, 0.009, 0.558, 0.991])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9888 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9889 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.245, 0.335, 0.375, 0.663]) and the object ([0.134, 0.447, 0.764, 0.998])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "watch"
},
{
"label": "B",
"text": "eat_at"
},
{
"label": "C",
"text": "sit_on"
},
{
"label": "D",
"text": "sit_at"
}
] | null | D | Question: What is the interaction relationship between the people ([0.245, 0.335, 0.375, 0.663]) and the object ([0.134, 0.447, 0.764, 0.998])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9889 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 | |
MMT-Bench_VAL::val::9890 | i2t:ACTION_RECOGNITION | Activity understanding | Recognition | i2t | val | What is the interaction relationship between the people ([0.217, 0.023, 0.894, 0.998]) and the object ([0.495, 0.178, 0.613, 0.408])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bottom-right... | [
{
"label": "A",
"text": "carry"
},
{
"label": "B",
"text": "hit"
},
{
"label": "C",
"text": "push"
},
{
"label": "D",
"text": "hold"
}
] | null | D | Question: What is the interaction relationship between the people ([0.217, 0.023, 0.894, 0.998]) and the object ([0.495, 0.178, 0.613, 0.408])? The region coordinates are provided in the format of a bounding box (x1, y1, x2, y2), where the top-left corner of the image is designated as the origin point (0, 0) and the bo... | null | Not supported with pagination yet | MMT-Bench_VAL | 9890 | val | cc-by-4.0 | {"category": "human_object_interaction_recognition", "l2-category": "relation_reasoning", "source_tsv": "MMT-Bench_VAL.tsv", "source_tsv_md5": "8dd4b730f53dbf9c3aed90ca31c928e0", "source_url": "https://opencompass.openxlab.space/utils/benchmarks/MMT-Bench/MMT-Bench_VAL.tsv", "split": "VAL"} | 0 |
End of preview. Expand in Data Studio
OmniTaskonomy
OmniTaskonomy groups visual tasks into Recognition, Reconstruction, and Reorganization.
Each task and modality has its own split, named family__task__i2i or family__task__i2t.
The i2t and i2i configs group the evaluation and training splits, respectively.
This release contains 9,444 I2T evaluation samples across 25 tasks
and 350,000 I2I training samples across 7 tasks.
I2T rows have usage="val"; I2I rows have usage="train".
I2I validation data is not included.
Counts and file checksums are in release_manifest.json.
Load a task
from datasets import load_dataset
data = load_dataset(
"Wakals/OmniTaskonomy",
name="i2t",
split="recognition__category_recognition__i2t",
streaming=True,
)
sample = next(iter(data))
For I2I training data, use name="i2i" and the corresponding __i2i split.
Fields
id: unique release record;task_id,task_name,r,modality, andusagedescribe its task.input_images: an ordered image list, including for single-image tasks.- I2T:
question,options,answer, optionalhint, andevaluation_prompt. - I2I:
editing_promptandoutput_image. source_dataset,source_id,source_split,source_license, and JSON-encodedsource_metadataretain provenance.repeat_indexdistinguishes repeated source records.
Fields that do not apply to a modality are null. I2T answers are option labels.
Original I2T image bytes, image order, questions, and answers are preserved;
evaluation_prompt retains the benchmark's evaluation wording, including its native CV-Bench prompt.
Source annotation anomalies are retained.
I2I targets use the training reader's rendering.
For damaged source files accepted by the training reader, the same decoded pixels are saved
as valid PNGs; affected records are identified in source_metadata.
Localization repeats the original training iterator to 50,000 records.
Object pointing stores one deterministic choice from the training prompt templates;
the templates remain available in source metadata.
Taskonomy source selections
For the 12 Taskonomy-derived I2I tasks, sources.json provides official download links, archive checksums, prompts, and preprocessing rules. The compressed ID lists contain 50,000 training occurrences per task; preserve their order and repeated IDs. These are source metadata files, not additional dataset splits. Taskonomy images are not included while redistribution permission is pending.
License
This dataset combines sources with different licenses. See LICENSE.md for each source's terms, including RealWorldQA's CC BY-ND 4.0 license. Each component retains its original license; no relicensing of third-party content is intended.
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