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  ---
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  # Dataset Card for TaskMeAnything-v1-videoqa-random
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- <h5 align="center">
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- <!-- [[**πŸ“– Paper**]() ** | [**πŸ€— TaskMeAnything-v1-Random**]() | [**πŸ€— TaskMeAnything-DB**]() | [**πŸ€— TaskMeAnything-UI**]() -->
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- </h5>
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  ## TaskMeAnything-v1-Random
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  [TaskMeAnything-v1-videoqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-videoqa-random) is a dataset which randomly sampled questions from TaskMeAnything-v1, including 2,700 VideoQA questions. The dataset contains 9 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.
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  ### Load TaskMeAnything-v1-Random VideoQA Dataset and Convert Video Binary Stream to mp4
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  * Since Huggingface does not support saving .mp4 files in datasets, we save videos in the format of binary streams. After loading, you can convert the video binary stream to .mp4 using the following method.
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  ```
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  ```
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  where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `random_video_3d_what_move`.
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  ## Out-of-Scope Use
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  This dataset should not be used for training models.
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  - Jieyu Zhang: [email protected]
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  ## Citation
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-
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  **BibTeX:**
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-
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  ```bibtex
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-
 
 
 
 
 
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  ```
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  ---
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  # Dataset Card for TaskMeAnything-v1-videoqa-random
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+ <h2 align="center"> TaskMeAnything-v1-videoqa-random dataset</h2>
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+ <h2 align="center"> <a href="https://www.task-me-anything.org/">🌐 Website</a> | <a href="https://arxiv.org/abs/2406.11775">πŸ“‘ Paper</a> | <a href="https://huggingface.co/collections/jieyuz2/taskmeanything-664ebf028ab2524c0380526a">πŸ€— Huggingface</a> | <a href="https://huggingface.co/spaces/zixianma/TaskMeAnything-UI">πŸ’» Interface</a></h2>
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+ <h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for latest update. </h2>
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  ## TaskMeAnything-v1-Random
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  [TaskMeAnything-v1-videoqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-videoqa-random) is a dataset which randomly sampled questions from TaskMeAnything-v1, including 2,700 VideoQA questions. The dataset contains 9 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.
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  ### Load TaskMeAnything-v1-Random VideoQA Dataset and Convert Video Binary Stream to mp4
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  * Since Huggingface does not support saving .mp4 files in datasets, we save videos in the format of binary streams. After loading, you can convert the video binary stream to .mp4 using the following method.
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  ```
 
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  ```
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  where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `random_video_3d_what_move`.
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+ ## Evaluation Results
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+
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+ ### Overall
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/VNpFbebwDmFHckfTuTnUR.png)
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+
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+ ### Breakdown performance on each task types
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/aFq57R6BWioXXj4yQhFoc.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/tJ1dDOaTpD-6-nNh6LpO0.png)
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  ## Out-of-Scope Use
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  This dataset should not be used for training models.
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  - Jieyu Zhang: [email protected]
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  ## Citation
 
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  **BibTeX:**
 
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  ```bibtex
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+ @article{zhang2024task,
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+ title={Task Me Anything},
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+ 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},
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+ journal={arXiv preprint arXiv:2406.11775},
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+ year={2024}
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+ }
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  ```
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