| --- |
| 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: 436215710.0 |
| num_examples: 300 |
| - name: random_3d_what |
| num_bytes: 434742201.0 |
| num_examples: 300 |
| - name: random_3d_where |
| num_bytes: 439317620.0 |
| num_examples: 300 |
| - name: random_3d_what_attribute |
| num_bytes: 444189904.0 |
| num_examples: 300 |
| - name: random_3d_where_attribute |
| num_bytes: 440677951.0 |
| num_examples: 300 |
| - name: random_3d_what_distance |
| num_bytes: 432425889.0 |
| num_examples: 300 |
| - name: random_3d_where_distance |
| num_bytes: 429200001.0 |
| num_examples: 300 |
| - name: random_3d_what_attribute_distance |
| num_bytes: 427282309.0 |
| num_examples: 300 |
| - name: random_3d_what_size |
| num_bytes: 442839308.0 |
| num_examples: 300 |
| - name: random_3d_where_size |
| num_bytes: 436236948.0 |
| num_examples: 300 |
| - name: random_3d_what_attribute_size |
| num_bytes: 438653169.0 |
| num_examples: 300 |
| - name: random_2d_how_many |
| num_bytes: 19675524.0 |
| num_examples: 300 |
| - name: random_2d_what |
| num_bytes: 20867143.0 |
| num_examples: 300 |
| - name: random_2d_where |
| num_bytes: 20328953.0 |
| num_examples: 300 |
| - name: random_2d_what_attribute |
| num_bytes: 20040624.0 |
| num_examples: 300 |
| - name: random_2d_where_attribute |
| num_bytes: 22044710.0 |
| num_examples: 300 |
| - name: random_sg_what_object |
| num_bytes: 13414061.0 |
| num_examples: 300 |
| - name: random_sg_what_attribute |
| num_bytes: 12339318.0 |
| num_examples: 300 |
| - name: random_sg_what_relation |
| num_bytes: 12630575.0 |
| num_examples: 300 |
| download_size: 4916677872 |
| dataset_size: 4943121918.0 |
| 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 |
| <h2 align="center"> TaskMeAnything-v1-imageqa-random dataset</h2> |
|
|
| <h2 align="center"> <a href="https://www.task-me-anything.org/">🌐 Website</a> | <a href="https://arxiv.org/abs/2406.11775">📑 Paper</a> | <a href="https://huggingface.co/collections/jieyuz2/taskmeanything-664ebf028ab2524c0380526a">🤗 Huggingface</a> | <a href="https://huggingface.co/spaces/zixianma/TaskMeAnything-UI">💻 Interface</a></h2> |
| |
| <h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for latest update. </h2> |
| |
| ## TaskMeAnything-v1-Random |
| [TaskMeAnything-v1-imageqa-random](https://huggingface.co/datasets/weikaih/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 |
|  |
|
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|  |
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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 |
|
|
| - Jieyu Zhang: jieyuz2@cs.washington.edu |
|
|
| ## Citation |
| **BibTeX:** |
| ```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} |
| } |
| ``` |
