id
stringlengths 3
4
| question
stringlengths 36
63
| options
listlengths 4
4
| answer
stringclasses 9
values | task_plan
stringlengths 68
135
| image
imagewidth (px) 1.02k
1.02k
|
---|---|---|---|---|---|
0-0 | How many glass culinary equipment are there in the image? | [
"2",
"4",
"1",
"3"
] | 1 | attribute type: material
attribute value: glass
count: 1
grid number: 2
question type: how many
target category: culinary equipment | |
0-1 | How many glass culinary equipment are there in the image? | [
"2",
"4",
"1",
"3"
] | 1 | attribute type: material
attribute value: glass
count: 1
grid number: 2
question type: how many
target category: culinary equipment | |
0-2 | How many glass culinary equipment are there in the image? | [
"4",
"1",
"2",
"3"
] | 1 | attribute type: material
attribute value: glass
count: 1
grid number: 2
question type: how many
target category: culinary equipment | |
1-0 | How many white folding chair are there in the image? | [
"8",
"1",
"4",
"5"
] | 1 | attribute type: color
attribute value: white
count: 1
grid number: 3
question type: how many
target category: folding chair | |
1-1 | How many white folding chair are there in the image? | [
"5",
"2",
"1",
"9"
] | 1 | attribute type: color
attribute value: white
count: 1
grid number: 3
question type: how many
target category: folding chair | |
1-2 | How many white folding chair are there in the image? | [
"1",
"5",
"6",
"3"
] | 1 | attribute type: color
attribute value: white
count: 1
grid number: 3
question type: how many
target category: folding chair | |
2-0 | How many black turntable are there in the image? | [
"9",
"2",
"3",
"8"
] | 8 | attribute type: color
attribute value: black
count: 8
grid number: 3
question type: how many
target category: turntable | |
2-1 | How many black turntable are there in the image? | [
"8",
"7",
"3",
"5"
] | 8 | attribute type: color
attribute value: black
count: 8
grid number: 3
question type: how many
target category: turntable | |
2-2 | How many black turntable are there in the image? | [
"3",
"5",
"8",
"9"
] | 8 | attribute type: color
attribute value: black
count: 8
grid number: 3
question type: how many
target category: turntable | |
3-0 | How many purple headgear are there in the image? | [
"2",
"3",
"1",
"4"
] | 2 | attribute type: color
attribute value: purple
count: 2
grid number: 2
question type: how many
target category: headgear | |
3-1 | How many purple headgear are there in the image? | [
"1",
"3",
"4",
"2"
] | 2 | attribute type: color
attribute value: purple
count: 2
grid number: 2
question type: how many
target category: headgear | |
3-2 | How many purple headgear are there in the image? | [
"1",
"2",
"4",
"3"
] | 2 | attribute type: color
attribute value: purple
count: 2
grid number: 2
question type: how many
target category: headgear | |
4-0 | How many circle computer hardware are there in the image? | [
"1",
"4",
"3",
"2"
] | 1 | attribute type: shape
attribute value: circle
count: 1
grid number: 2
question type: how many
target category: computer hardware | |
4-1 | How many circle computer hardware are there in the image? | [
"1",
"4",
"3",
"2"
] | 1 | attribute type: shape
attribute value: circle
count: 1
grid number: 2
question type: how many
target category: computer hardware | |
4-2 | How many circle computer hardware are there in the image? | [
"1",
"2",
"4",
"3"
] | 1 | attribute type: shape
attribute value: circle
count: 1
grid number: 2
question type: how many
target category: computer hardware | |
5-0 | How many clay culinary equipment are there in the image? | [
"9",
"8",
"4",
"3"
] | 4 | attribute type: material
attribute value: clay
count: 4
grid number: 3
question type: how many
target category: culinary equipment | |
5-1 | How many clay culinary equipment are there in the image? | [
"6",
"7",
"9",
"4"
] | 4 | attribute type: material
attribute value: clay
count: 4
grid number: 3
question type: how many
target category: culinary equipment | |
5-2 | How many clay culinary equipment are there in the image? | [
"1",
"9",
"2",
"4"
] | 4 | attribute type: material
attribute value: clay
count: 4
grid number: 3
question type: how many
target category: culinary equipment | |
6-0 | How many sphere sugar candy are there in the image? | [
"8",
"5",
"1",
"6"
] | 1 | attribute type: shape
attribute value: sphere
count: 1
grid number: 3
question type: how many
target category: sugar candy | |
6-1 | How many sphere sugar candy are there in the image? | [
"1",
"3",
"6",
"2"
] | 1 | attribute type: shape
attribute value: sphere
count: 1
grid number: 3
question type: how many
target category: sugar candy | |
6-2 | How many sphere sugar candy are there in the image? | [
"8",
"5",
"3",
"1"
] | 1 | attribute type: shape
attribute value: sphere
count: 1
grid number: 3
question type: how many
target category: sugar candy | |
7-0 | How many beige human-powered vehicle are there in the image? | [
"2",
"1",
"3",
"7"
] | 2 | attribute type: color
attribute value: beige
count: 2
grid number: 3
question type: how many
target category: human-powered vehicle | |
7-1 | How many beige human-powered vehicle are there in the image? | [
"1",
"5",
"2",
"6"
] | 2 | attribute type: color
attribute value: beige
count: 2
grid number: 3
question type: how many
target category: human-powered vehicle | |
7-2 | How many beige human-powered vehicle are there in the image? | [
"2",
"8",
"4",
"9"
] | 2 | attribute type: color
attribute value: beige
count: 2
grid number: 3
question type: how many
target category: human-powered vehicle | |
8-0 | How many green outerwear are there in the image? | [
"9",
"1",
"7",
"2"
] | 2 | attribute type: color
attribute value: green
count: 2
grid number: 3
question type: how many
target category: outerwear | |
8-1 | How many green outerwear are there in the image? | [
"2",
"3",
"5",
"8"
] | 2 | attribute type: color
attribute value: green
count: 2
grid number: 3
question type: how many
target category: outerwear | |
8-2 | How many green outerwear are there in the image? | [
"2",
"3",
"9",
"4"
] | 2 | attribute type: color
attribute value: green
count: 2
grid number: 3
question type: how many
target category: outerwear | |
9-0 | How many white door are there in the image? | [
"2",
"3",
"1",
"4"
] | 3 | attribute type: color
attribute value: white
count: 3
grid number: 2
question type: how many
target category: door | |
9-1 | How many white door are there in the image? | [
"3",
"4",
"1",
"2"
] | 3 | attribute type: color
attribute value: white
count: 3
grid number: 2
question type: how many
target category: door | |
9-2 | How many white door are there in the image? | [
"3",
"2",
"1",
"4"
] | 3 | attribute type: color
attribute value: white
count: 3
grid number: 2
question type: how many
target category: door | |
10-0 | How many white pants are there in the image? | [
"8",
"6",
"7",
"2"
] | 6 | attribute type: color
attribute value: white
count: 6
grid number: 3
question type: how many
target category: pants | |
10-1 | How many white pants are there in the image? | [
"6",
"8",
"9",
"5"
] | 6 | attribute type: color
attribute value: white
count: 6
grid number: 3
question type: how many
target category: pants | |
10-2 | How many white pants are there in the image? | [
"6",
"1",
"5",
"7"
] | 6 | attribute type: color
attribute value: white
count: 6
grid number: 3
question type: how many
target category: pants | |
11-0 | How many rectangle electrical appliance are there in the image? | [
"2",
"8",
"6",
"3"
] | 3 | attribute type: shape
attribute value: rectangle
count: 3
grid number: 3
question type: how many
target category: electrical appliance | |
11-1 | How many rectangle electrical appliance are there in the image? | [
"4",
"6",
"5",
"3"
] | 3 | attribute type: shape
attribute value: rectangle
count: 3
grid number: 3
question type: how many
target category: electrical appliance | |
11-2 | How many rectangle electrical appliance are there in the image? | [
"8",
"1",
"3",
"4"
] | 3 | attribute type: shape
attribute value: rectangle
count: 3
grid number: 3
question type: how many
target category: electrical appliance | |
12-0 | How many vase are there in the image? | [
"8",
"4",
"7",
"9"
] | 7 | count: 7
grid number: 3
question type: how many
target category: vase | |
12-1 | How many vase are there in the image? | [
"3",
"4",
"7",
"2"
] | 7 | count: 7
grid number: 3
question type: how many
target category: vase | |
12-2 | How many vase are there in the image? | [
"2",
"6",
"9",
"7"
] | 7 | count: 7
grid number: 3
question type: how many
target category: vase | |
13-0 | How many candle are there in the image? | [
"9",
"7",
"4",
"8"
] | 8 | count: 8
grid number: 3
question type: how many
target category: candle | |
13-1 | How many candle are there in the image? | [
"2",
"1",
"7",
"8"
] | 8 | count: 8
grid number: 3
question type: how many
target category: candle | |
13-2 | How many candle are there in the image? | [
"2",
"8",
"1",
"6"
] | 8 | count: 8
grid number: 3
question type: how many
target category: candle | |
14-0 | How many baked good are there in the image? | [
"8",
"4",
"5",
"2"
] | 5 | count: 5
grid number: 3
question type: how many
target category: baked good | |
14-1 | How many baked good are there in the image? | [
"7",
"5",
"1",
"3"
] | 5 | count: 5
grid number: 3
question type: how many
target category: baked good | |
14-2 | How many baked good are there in the image? | [
"1",
"7",
"5",
"8"
] | 5 | count: 5
grid number: 3
question type: how many
target category: baked good | |
15-0 | How many gold hourglass are there in the image? | [
"3",
"6",
"4",
"5"
] | 6 | attribute type: color
attribute value: gold
count: 6
grid number: 3
question type: how many
target category: hourglass | |
15-1 | How many gold hourglass are there in the image? | [
"7",
"6",
"5",
"1"
] | 6 | attribute type: color
attribute value: gold
count: 6
grid number: 3
question type: how many
target category: hourglass | |
15-2 | How many gold hourglass are there in the image? | [
"9",
"6",
"1",
"7"
] | 6 | attribute type: color
attribute value: gold
count: 6
grid number: 3
question type: how many
target category: hourglass | |
16-0 | How many gray mixer are there in the image? | [
"1",
"4",
"2",
"3"
] | 4 | attribute type: color
attribute value: gray
count: 4
grid number: 2
question type: how many
target category: mixer | |
16-1 | How many gray mixer are there in the image? | [
"3",
"2",
"4",
"1"
] | 4 | attribute type: color
attribute value: gray
count: 4
grid number: 2
question type: how many
target category: mixer | |
16-2 | How many gray mixer are there in the image? | [
"2",
"4",
"1",
"3"
] | 4 | attribute type: color
attribute value: gray
count: 4
grid number: 2
question type: how many
target category: mixer | |
17-0 | How many wood crib are there in the image? | [
"2",
"4",
"1",
"3"
] | 1 | attribute type: material
attribute value: wood
count: 1
grid number: 2
question type: how many
target category: crib | |
17-1 | How many wood crib are there in the image? | [
"4",
"2",
"3",
"1"
] | 1 | attribute type: material
attribute value: wood
count: 1
grid number: 2
question type: how many
target category: crib | |
17-2 | How many wood crib are there in the image? | [
"2",
"4",
"1",
"3"
] | 1 | attribute type: material
attribute value: wood
count: 1
grid number: 2
question type: how many
target category: crib | |
18-0 | How many metal seat are there in the image? | [
"1",
"5",
"6",
"8"
] | 5 | attribute type: material
attribute value: metal
count: 5
grid number: 3
question type: how many
target category: seat | |
18-1 | How many metal seat are there in the image? | [
"8",
"5",
"1",
"9"
] | 5 | attribute type: material
attribute value: metal
count: 5
grid number: 3
question type: how many
target category: seat | |
18-2 | How many metal seat are there in the image? | [
"2",
"9",
"1",
"5"
] | 5 | attribute type: material
attribute value: metal
count: 5
grid number: 3
question type: how many
target category: seat | |
19-0 | How many blue pillow are there in the image? | [
"3",
"7",
"9",
"5"
] | 3 | attribute type: color
attribute value: blue
count: 3
grid number: 3
question type: how many
target category: pillow | |
19-1 | How many blue pillow are there in the image? | [
"2",
"8",
"9",
"3"
] | 3 | attribute type: color
attribute value: blue
count: 3
grid number: 3
question type: how many
target category: pillow | |
19-2 | How many blue pillow are there in the image? | [
"8",
"3",
"4",
"6"
] | 3 | attribute type: color
attribute value: blue
count: 3
grid number: 3
question type: how many
target category: pillow | |
20-0 | How many cuboid confection are there in the image? | [
"5",
"7",
"6",
"1"
] | 6 | attribute type: shape
attribute value: cuboid
count: 6
grid number: 3
question type: how many
target category: confection | |
20-1 | How many cuboid confection are there in the image? | [
"7",
"6",
"5",
"2"
] | 6 | attribute type: shape
attribute value: cuboid
count: 6
grid number: 3
question type: how many
target category: confection | |
20-2 | How many cuboid confection are there in the image? | [
"9",
"6",
"1",
"2"
] | 6 | attribute type: shape
attribute value: cuboid
count: 6
grid number: 3
question type: how many
target category: confection | |
21-0 | How many green vessel are there in the image? | [
"1",
"3",
"4",
"2"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 2
question type: how many
target category: vessel | |
21-1 | How many green vessel are there in the image? | [
"2",
"1",
"3",
"4"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 2
question type: how many
target category: vessel | |
21-2 | How many green vessel are there in the image? | [
"1",
"3",
"4",
"2"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 2
question type: how many
target category: vessel | |
22-0 | How many blue optical instrument are there in the image? | [
"9",
"6",
"7",
"4"
] | 9 | attribute type: color
attribute value: blue
count: 9
grid number: 3
question type: how many
target category: optical instrument | |
22-1 | How many blue optical instrument are there in the image? | [
"1",
"7",
"5",
"9"
] | 9 | attribute type: color
attribute value: blue
count: 9
grid number: 3
question type: how many
target category: optical instrument | |
22-2 | How many blue optical instrument are there in the image? | [
"8",
"6",
"7",
"9"
] | 9 | attribute type: color
attribute value: blue
count: 9
grid number: 3
question type: how many
target category: optical instrument | |
23-0 | How many plastic video game accessory are there in the image? | [
"5",
"7",
"4",
"8"
] | 5 | attribute type: material
attribute value: plastic
count: 5
grid number: 3
question type: how many
target category: video game accessory | |
23-1 | How many plastic video game accessory are there in the image? | [
"7",
"5",
"1",
"9"
] | 5 | attribute type: material
attribute value: plastic
count: 5
grid number: 3
question type: how many
target category: video game accessory | |
23-2 | How many plastic video game accessory are there in the image? | [
"9",
"7",
"5",
"8"
] | 5 | attribute type: material
attribute value: plastic
count: 5
grid number: 3
question type: how many
target category: video game accessory | |
24-0 | How many brown clothes are there in the image? | [
"9",
"7",
"1",
"5"
] | 1 | attribute type: color
attribute value: brown
count: 1
grid number: 3
question type: how many
target category: clothes | |
24-1 | How many brown clothes are there in the image? | [
"9",
"6",
"3",
"1"
] | 1 | attribute type: color
attribute value: brown
count: 1
grid number: 3
question type: how many
target category: clothes | |
24-2 | How many brown clothes are there in the image? | [
"8",
"5",
"6",
"1"
] | 1 | attribute type: color
attribute value: brown
count: 1
grid number: 3
question type: how many
target category: clothes | |
25-0 | How many green grinder are there in the image? | [
"1",
"7",
"9",
"2"
] | 1 | attribute type: color
attribute value: green
count: 1
grid number: 3
question type: how many
target category: grinder | |
25-1 | How many green grinder are there in the image? | [
"2",
"1",
"3",
"8"
] | 1 | attribute type: color
attribute value: green
count: 1
grid number: 3
question type: how many
target category: grinder | |
25-2 | How many green grinder are there in the image? | [
"2",
"5",
"1",
"6"
] | 1 | attribute type: color
attribute value: green
count: 1
grid number: 3
question type: how many
target category: grinder | |
26-0 | How many culinary equipment are there in the image? | [
"6",
"4",
"1",
"8"
] | 6 | count: 6
grid number: 3
question type: how many
target category: culinary equipment | |
26-1 | How many culinary equipment are there in the image? | [
"5",
"6",
"1",
"4"
] | 6 | count: 6
grid number: 3
question type: how many
target category: culinary equipment | |
26-2 | How many culinary equipment are there in the image? | [
"4",
"1",
"6",
"7"
] | 6 | count: 6
grid number: 3
question type: how many
target category: culinary equipment | |
27-0 | How many bag are there in the image? | [
"3",
"4",
"1",
"2"
] | 2 | count: 2
grid number: 2
question type: how many
target category: bag | |
27-1 | How many bag are there in the image? | [
"3",
"2",
"4",
"1"
] | 2 | count: 2
grid number: 2
question type: how many
target category: bag | |
27-2 | How many bag are there in the image? | [
"4",
"2",
"3",
"1"
] | 2 | count: 2
grid number: 2
question type: how many
target category: bag | |
28-0 | How many pink soft drink are there in the image? | [
"2",
"1",
"3",
"4"
] | 4 | attribute type: color
attribute value: pink
count: 4
grid number: 2
question type: how many
target category: soft drink | |
28-1 | How many pink soft drink are there in the image? | [
"1",
"3",
"2",
"4"
] | 4 | attribute type: color
attribute value: pink
count: 4
grid number: 2
question type: how many
target category: soft drink | |
28-2 | How many pink soft drink are there in the image? | [
"4",
"2",
"3",
"1"
] | 4 | attribute type: color
attribute value: pink
count: 4
grid number: 2
question type: how many
target category: soft drink | |
29-0 | How many textile sweater are there in the image? | [
"8",
"6",
"7",
"5"
] | 6 | attribute type: material
attribute value: textile
count: 6
grid number: 3
question type: how many
target category: sweater | |
29-1 | How many textile sweater are there in the image? | [
"4",
"7",
"6",
"1"
] | 6 | attribute type: material
attribute value: textile
count: 6
grid number: 3
question type: how many
target category: sweater | |
29-2 | How many textile sweater are there in the image? | [
"6",
"1",
"9",
"4"
] | 6 | attribute type: material
attribute value: textile
count: 6
grid number: 3
question type: how many
target category: sweater | |
30-0 | How many green protective clothing are there in the image? | [
"8",
"6",
"4",
"3"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 3
question type: how many
target category: protective clothing | |
30-1 | How many green protective clothing are there in the image? | [
"3",
"9",
"2",
"4"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 3
question type: how many
target category: protective clothing | |
30-2 | How many green protective clothing are there in the image? | [
"3",
"6",
"5",
"2"
] | 3 | attribute type: color
attribute value: green
count: 3
grid number: 3
question type: how many
target category: protective clothing | |
31-0 | How many green watermelon are there in the image? | [
"1",
"3",
"4",
"2"
] | 4 | attribute type: color
attribute value: green
count: 4
grid number: 2
question type: how many
target category: watermelon | |
31-1 | How many green watermelon are there in the image? | [
"2",
"3",
"4",
"1"
] | 4 | attribute type: color
attribute value: green
count: 4
grid number: 2
question type: how many
target category: watermelon | |
31-2 | How many green watermelon are there in the image? | [
"4",
"2",
"3",
"1"
] | 4 | attribute type: color
attribute value: green
count: 4
grid number: 2
question type: how many
target category: watermelon | |
32-0 | How many beige tote bag are there in the image? | [
"3",
"1",
"4",
"2"
] | 3 | attribute type: color
attribute value: beige
count: 3
grid number: 2
question type: how many
target category: tote bag | |
32-1 | How many beige tote bag are there in the image? | [
"1",
"2",
"3",
"4"
] | 3 | attribute type: color
attribute value: beige
count: 3
grid number: 2
question type: how many
target category: tote bag | |
32-2 | How many beige tote bag are there in the image? | [
"3",
"1",
"2",
"4"
] | 3 | attribute type: color
attribute value: beige
count: 3
grid number: 2
question type: how many
target category: tote bag | |
33-0 | How many green fish are there in the image? | [
"2",
"5",
"6",
"1"
] | 6 | attribute type: color
attribute value: green
count: 6
grid number: 3
question type: how many
target category: fish |
Dataset Card for TaskMeAnything-v1-imageqa-random
TaskMeAnything-v1-imageqa-random dataset
π Website | π Paper | π€ Huggingface | π» Interface
If you like our project, please give us a star β on GitHub for latest update.
TaskMeAnything-v1-Random
TaskMeAnything-v1-imageqa-random is a dataset which using randomly sampled questions from TaskMeAnything-v1, including 5,700 ImageQA questions. The dataset contains 19 splits, while each splits contains 300 questions from a specific task generator in TaskMeAnything-v1. For each row of dataset, it includes: image, question, options, answer and its corresponding task plan.
Load TaskMeAnything-v1-Random ImageQA Dataset
import datasets
dataset_name = 'weikaih/TaskMeAnything-v1-imageqa-random'
dataset = datasets.load_dataset(dataset_name, split = TASK_GENERATOR_SPLIT)
where TASK_GENERATOR_SPLIT
is one of the task generators, eg, random_2d_how_many
.
Evaluation Results
Overall
Breakdown performance on each task types
Out-of-Scope Use
This dataset should not be used for training models.
Disclaimers
TaskMeAnything and its associated resources are provided for research and educational purposes only. The authors and contributors make no warranties regarding the accuracy or reliability of the data and software. Users are responsible for ensuring their use complies with applicable laws and regulations. The project is not liable for any damages or losses resulting from the use of these resources.
Contact
- Jieyu Zhang: jieyuz2@cs.washington.edu
Citation
BibTeX:
@article{zhang2024task,
title={Task Me Anything},
author={Zhang, Jieyu and Huang, Weikai and Ma, Zixian and Michel, Oscar and He, Dong and Gupta, Tanmay and Ma, Wei-Chiu and Farhadi, Ali and Kembhavi, Aniruddha and Krishna, Ranjay},
journal={arXiv preprint arXiv:2406.11775},
year={2024}
}
- Downloads last month
- 134