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  # Dataset Card for All-Angles Bench
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- ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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  The dataset presents a comprehensive benchmark consisting of over 2,100 human-annotated multi-view question-answer (QA) pairs, spanning 90 real-world scenes. Each scene is captured from multiple viewpoints, providing diverse perspectives and context for the associated questions.
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- ### Dataset Sources
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  <!-- Provide the basic links for the dataset. -->
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  - **[EgoHumans](https://github.com/rawalkhirodkar/egohumans)** - Egocentric multi-view human activity understanding dataset
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  - **[Ego-Exo4D](https://github.com/facebookresearch/Ego4d)** - Large-scale egocentric and exocentric video dataset for multi-person interaction understanding
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- Thanks for their wonderful data.
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-
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  ## Usage
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  | `sourced_dataset`| String | Source dataset name (e.g. `"EgoHumans"`) |
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  ## Citation
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  journal={arXiv preprint arXiv:2401.10727},
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  year={2025}
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  }
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- ```
 
 
 
 
 
 
 
 
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  # Dataset Card for All-Angles Bench
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+ ## Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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  The dataset presents a comprehensive benchmark consisting of over 2,100 human-annotated multi-view question-answer (QA) pairs, spanning 90 real-world scenes. Each scene is captured from multiple viewpoints, providing diverse perspectives and context for the associated questions.
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+ ## Dataset Sources
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  <!-- Provide the basic links for the dataset. -->
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  - **[EgoHumans](https://github.com/rawalkhirodkar/egohumans)** - Egocentric multi-view human activity understanding dataset
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  - **[Ego-Exo4D](https://github.com/facebookresearch/Ego4d)** - Large-scale egocentric and exocentric video dataset for multi-person interaction understanding
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  ## Usage
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  | `sourced_dataset`| String | Source dataset name (e.g. `"EgoHumans"`) |
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  ## Citation
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
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  journal={arXiv preprint arXiv:2401.10727},
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  year={2025}
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  }
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+ ```
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+
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+ ## Acknowledgements
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+ You may refer to related work that serves as foundations for our framework and code repository,
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+ [EgoHumans](https://github.com/rawalkhirodkar/egohumans),
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+ [Ego-Exo4D](https://github.com/facebookresearch/Ego4d),
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+ [VLMEvalKit](https://github.com/open-compass/VLMEvalKit).
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+ Thanks for their wonderful work and data.