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metadata
dataset_info:
  features:
    - name: id
      dtype: string
    - name: question
      dtype: string
    - name: options
      list: string
    - name: answer
      dtype: string
    - name: task_plan
      dtype: string
    - name: image
      dtype: image
  splits:
    - name: random_3d_how_many
      num_bytes: 436215710
      num_examples: 300
    - name: random_3d_what
      num_bytes: 434742201
      num_examples: 300
    - name: random_3d_where
      num_bytes: 439317620
      num_examples: 300
    - name: random_3d_what_attribute
      num_bytes: 444189904
      num_examples: 300
    - name: random_3d_where_attribute
      num_bytes: 440677951
      num_examples: 300
    - name: random_3d_what_distance
      num_bytes: 432425889
      num_examples: 300
    - name: random_3d_where_distance
      num_bytes: 429200001
      num_examples: 300
    - name: random_3d_what_attribute_distance
      num_bytes: 427282309
      num_examples: 300
    - name: random_3d_what_size
      num_bytes: 442839308
      num_examples: 300
    - name: random_3d_where_size
      num_bytes: 436236948
      num_examples: 300
    - name: random_3d_what_attribute_size
      num_bytes: 438653169
      num_examples: 300
    - name: random_2d_how_many
      num_bytes: 19675524
      num_examples: 300
    - name: random_2d_what
      num_bytes: 20867143
      num_examples: 300
    - name: random_2d_where
      num_bytes: 20328953
      num_examples: 300
    - name: random_2d_what_attribute
      num_bytes: 20040624
      num_examples: 300
    - name: random_2d_where_attribute
      num_bytes: 22044710
      num_examples: 300
    - name: random_sg_what_object
      num_bytes: 13414061
      num_examples: 300
    - name: random_sg_what_attribute
      num_bytes: 12339318
      num_examples: 300
    - name: random_sg_what_relation
      num_bytes: 12630575
      num_examples: 300
  download_size: 4916677872
  dataset_size: 4943121918
configs:
  - config_name: default
    data_files:
      - split: random_3d_how_many
        path: data/random_3d_how_many-*
      - split: random_3d_what
        path: data/random_3d_what-*
      - split: random_3d_where
        path: data/random_3d_where-*
      - split: random_3d_what_attribute
        path: data/random_3d_what_attribute-*
      - split: random_3d_where_attribute
        path: data/random_3d_where_attribute-*
      - split: random_3d_what_distance
        path: data/random_3d_what_distance-*
      - split: random_3d_where_distance
        path: data/random_3d_where_distance-*
      - split: random_3d_what_attribute_distance
        path: data/random_3d_what_attribute_distance-*
      - split: random_3d_what_size
        path: data/random_3d_what_size-*
      - split: random_3d_where_size
        path: data/random_3d_where_size-*
      - split: random_3d_what_attribute_size
        path: data/random_3d_what_attribute_size-*
      - split: random_2d_how_many
        path: data/random_2d_how_many-*
      - split: random_2d_what
        path: data/random_2d_what-*
      - split: random_2d_where
        path: data/random_2d_where-*
      - split: random_2d_what_attribute
        path: data/random_2d_what_attribute-*
      - split: random_2d_where_attribute
        path: data/random_2d_where_attribute-*
      - split: random_sg_what_object
        path: data/random_sg_what_object-*
      - split: random_sg_what_attribute
        path: data/random_sg_what_attribute-*
      - split: random_sg_what_relation
        path: data/random_sg_what_relation-*

Dataset Card for TaskMeAnything-v1-imageqa-random

TaskMeAnything-v1-imageqa-random dataset

🌐 Website | 📑 Paper | 🤗 Huggingface | 💻 Interface

If you like our project, please give us a star ⭐ 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

image/png

Breakdown performance on each task types

image/png

image/png

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}
}