README.md

---
task_categories:
- question-answering
- zero-shot-classification
pretty_name: I Don't Know Visual Question Answering
dataset_info:
  features:
  - name: image
    dtype: image
  - name: question
    dtype: string
  - name: answers
    struct:
    - name: I don't know
      dtype: int64
    - name: 'No'
      dtype: int64
    - name: 'Yes'
      dtype: int64
  splits:
  - name: test
    num_bytes: 79527177.0
    num_examples: 101
  download_size: 19940782
  dataset_size: 79527177.0
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---

# I Don't Know Visual Question Answering - IDKVQA dataset - ICCV 25

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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,
where the answer includes not only ```Yes``` and ```No```, but also ```I don’t know```.
## Dataset Details
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)

For more information, visit our [Github repo.](https://github.com/intelligolabs/CoIN)

### Dataset Description

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- **Curated by:** [Francesco Taioli](https://francescotaioli.github.io/) and Edoardo Zorzi.


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## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**
```
@misc{taioli2025collaborativeinstanceobjectnavigation,
      title={Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues}, 
      author={Francesco Taioli and Edoardo Zorzi and Gianni Franchi and Alberto Castellini and Alessandro Farinelli and Marco Cristani and Yiming Wang},
      year={2025},
      eprint={2412.01250},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2412.01250}, 
}
```