id stringlengths 3 5 | question stringclasses 5
values | options listlengths 4 4 | answer stringclasses 68
values | task_plan stringlengths 149 236 | video unknown |
|---|---|---|---|---|---|
0-0 | What is the moving object in the video? | [
"horn",
"notebook",
"sportswear",
"door"
] | door | absolute position: front right
are other objects moving: No
attribute type: shape
attribute value: rectangle
grid number: 2
moving direction: down
question type: what move video
target category: door | [
0,
0,
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32,
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9... |
0-1 | What is the moving object in the video? | [
"utensil",
"artwork",
"footwear",
"door"
] | door | absolute position: front right
are other objects moving: No
attribute type: shape
attribute value: rectangle
grid number: 2
moving direction: down
question type: what move video
target category: door | [
0,
0,
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32,
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121,
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83,
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109,
100,
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116,
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9... |
0-2 | What is the moving object in the video? | [
"electrical appliance",
"radio receiver",
"grinder",
"door"
] | door | absolute position: front right
are other objects moving: No
attribute type: shape
attribute value: rectangle
grid number: 2
moving direction: down
question type: what move video
target category: door | [
0,
0,
0,
32,
102,
116,
121,
112,
105,
115,
111,
109,
0,
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102,
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101,
101,
0,
0,
81,
24,
109,
100,
97,
116,
0,
0,
2,
9... |
1-0 | What is the object that is moving down in the video? | [
"plant",
"wallet",
"radiator",
"clothes"
] | clothes | absolute position: front left
are other objects moving: Yes
attribute type: color
attribute value: blue
grid number: 2
moving direction: down
question type: what move video
target category: clothes | [
0,
0,
0,
32,
102,
116,
121,
112,
105,
115,
111,
109,
0,
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2,
... |
1-1 | What is the object that is moving down in the video? | [
"notebook",
"clothes",
"tool",
"bow"
] | clothes | absolute position: front left
are other objects moving: Yes
attribute type: color
attribute value: blue
grid number: 2
moving direction: down
question type: what move video
target category: clothes | [
0,
0,
0,
32,
102,
116,
121,
112,
105,
115,
111,
109,
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... |
1-2 | What is the object that is moving down in the video? | [
"plant",
"clothes",
"basket",
"furniture"
] | clothes | "absolute position: front left\nare other objects moving: Yes\nattribute type: color\nattribute valu(...TRUNCATED) | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAAtNptZGF0AAACYQYF//9d3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
2-0 | What is the object that is moving down in the video? | [
"container",
"toolbox",
"fishing rod",
"bug"
] | fishing rod | "absolute position: front left\nare other objects moving: Yes\nattribute type: color\nattribute valu(...TRUNCATED) | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAAd5ltZGF0AAACYQYF//9d3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
2-1 | What is the object that is moving down in the video? | [
"wallet",
"jewelry",
"robot",
"fishing rod"
] | fishing rod | "absolute position: front left\nare other objects moving: Yes\nattribute type: color\nattribute valu(...TRUNCATED) | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAAoc1tZGF0AAACYQYF//9d3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
2-2 | What is the object that is moving down in the video? | [
"fishing rod",
"wand",
"butterfly",
"furniture"
] | fishing rod | "absolute position: front left\nare other objects moving: Yes\nattribute type: color\nattribute valu(...TRUNCATED) | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAAcJ9tZGF0AAACYQYF//9d3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
3-0 | What is the moving object in the video? | [
"soccer ball",
"fishing rod",
"tool",
"lantern"
] | fishing rod | "absolute position: front left\nare other objects moving: No\nattribute type: color\nattribute value(...TRUNCATED) | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAAM9VtZGF0AAACYQYF//9d3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
Dataset Card for TaskMeAnything-v1-videoqa-2024
TaskMeAnything-v1-videoqa-2024 benchmark dataset
🌐 Website | 📑 Paper | 🤗 Huggingface | 💻 Interface
If you like our project, please give us a star ⭐ on GitHub for latest update.
TaskMeAnything-v1-2024-Videoqa
TaskMeAnything-v1-videoqa-2024 is a benchmark for reflecting the current progress of MLMs by automatically finding tasks that SOTA MLMs struggle with using the TaskMeAnything Top-K queries.
This benchmark includes 2,394 3d video questions and 1,173 real video questions that the TaskMeAnything algorithm automatically approximated as challenging for over 12 popular MLMs.
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: video, question, options, answer and its corresponding task plan.
Load TaskMeAnything-v1-2024 VideoQA Dataset
import datasets
dataset_name = 'weikaih/TaskMeAnything-v1-videoqa-2024'
dataset = datasets.load_dataset(dataset_name, split = TASK_GENERATOR_SPLIT)
where TASK_GENERATOR_SPLIT is one of the task generators, eg, 2024_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}
}
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