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---
pretty_name: Collaborative Instance Object Navigation
size_categories:
- 1K<n<10K
---
# Collaborative Instance Object Navigation - CoIN-Bench dataset (v1) - ICCV 25
<!-- Provide a quick summary of the dataset. -->
We introduce Collaborative Instance object Navigation (CoIN), a new task setting where the agent actively resolve uncertainties about the target instance during navigation in
natural, template-free, open-ended dialogues with human.
To download the dataset, just run the following command:
```bash
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ftaioli/CoIN-Bench", repo_type="dataset", local_dir="CoIN-Bench")
```
## 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)
<!-- ## 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. -->
This repository contains the CoIN-Bench dataset, which is structured as follows:
- ```val_unseen```: Contains only novel objects not present in the training set.
- ```val_seen```: Includes objects that also appear in the training set.
- ```val_seen_synonyms```: Contains objects from the training set but with synonymous names.
<!-- [More Information Needed] -->
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [Francesco Taioli](https://francescotaioli.github.io/) and Edoardo Zorzi.
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```
@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},
}
```
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