IDKVQA / README.md
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---
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: train
num_bytes: 315749156.0
num_examples: 401
- name: test
num_bytes: 79527177.0
num_examples: 101
download_size: 59657240
dataset_size: 395276333.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# I Don't Know Visual Question Answering - IDKVQA dataset - ICCV 25
<!-- Provide a quick summary of the dataset. -->
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
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [Francesco Taioli](https://francescotaioli.github.io/) and Edoardo Zorzi.
<!-- ## Uses -->
<!-- Address questions around how the dataset is intended to be used. -->
<!-- ## Dataset Structure -->
<!-- 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. -->
<!-- [More Information Needed] -->
## 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},
}
```