Create README.md
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README.md
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---
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task_categories:
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- question-answering
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- zero-shot-classification
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pretty_name: I Don't Know Visual Question Answering
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---
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# I Don't Know Visual Question Answering - IDKVQA dataset - ICCV 25
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<!-- Provide a quick summary of the dataset. -->
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We introduce IDKVQA, an embodied dataset specifically designed and annotated for visual question answering using the agent’s observations during navigation,
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where the answer includes not only ```Yes``` and ```No```, but also ```I don’t know```.
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## Dataset Details
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Please see our ICCV 25 accepted paper: [```Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues.```](https://arxiv.org/abs/2412.01250)
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For more information, visit our [Github repo.](https://github.com/intelligolabs/CoIN)
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** [Francesco Taioli](https://francescotaioli.github.io/) and Edoardo Zorzi.
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<!-- ## Uses -->
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<!-- Address questions around how the dataset is intended to be used. -->
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<!-- ## Dataset Structure -->
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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<!-- [More Information Needed] -->
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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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**BibTeX:**
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```
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@misc{taioli2025collaborativeinstanceobjectnavigation,
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title={Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues},
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author={Francesco Taioli and Edoardo Zorzi and Gianni Franchi and Alberto Castellini and Alessandro Farinelli and Marco Cristani and Yiming Wang},
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year={2025},
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eprint={2412.01250},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2412.01250},
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}
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```
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