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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, 0, 32, 102, 116, 121, 112, 105, 115, 111, 109, 0, 0, 2, 0, 105, 115, 111, 109, 105, 115, 111, 50, 97, 118, 99, 49, 109, 112, 52, 49, 0, 0, 0, 8, 102, 114, 101, 101, 0, 0, 57, 65, 109, 100, 97, 116, 0, 0, 2, 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, 0, 32, 102, 116, 121, 112, 105, 115, 111, 109, 0, 0, 2, 0, 105, 115, 111, 109, 105, 115, 111, 50, 97, 118, 99, 49, 109, 112, 52, 49, 0, 0, 0, 8, 102, 114, 101, 101, 0, 0, 83, 26, 109, 100, 97, 116, 0, 0, 2, 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, 0, 2, 0, 105, 115, 111, 109, 105, 115, 111, 50, 97, 118, 99, 49, 109, 112, 52, 49, 0, 0, 0, 8, 102, 114, 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, 0, 2, 0, 105, 115, 111, 109, 105, 115, 111, 50, 97, 118, 99, 49, 109, 112, 52, 49, 0, 0, 0, 8, 102, 114, 101, 101, 0, 0, 169, 181, 109, 100, 97, 116, 0, 0, 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, 0, 0, 2, 0, 105, 115, 111, 109, 105, 115, 111, 50, 97, 118, 99, 49, 109, 112, 52, 49, 0, 0, 0, 8, 102, 114, 101, 101, 0, 0, 158, 38, 109, 100, 97, 116, 0, 0, 2, ...
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)
End of preview. Expand in Data Studio

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

image/png

Breakdown performance on each task types

image/png

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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

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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Paper for weikaih/TaskMeAnything-v1-videoqa-2024