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---
license: cc-by-nc-4.0
task_categories:
- image-segmentation
- object-detection
tags:
- topological-error-detection
- topology
- computer-vision
- satellite-imagery
pretty_name: TopoAgent Dataset
size_categories:
- 10K<n<100K
---
# TopoAgent Dataset
This dataset contains training and validation data for the TopoAgent project, which focuses on detecting topological errors in segmentation masks.
## Dataset Structure
This dataset includes the following directories:
- `rft_v2/` - 56.37 KB
## Data Format
The dataset contains JSON files with annotations in the following format:
```json
{
"id": "example_id",
"image": [
"path/to/original.png",
"path/to/mask.png"
],
"conversations": [
{
"from": "human",
"value": "<image>\n<image>\n[prompt]"
},
{
"from": "gpt",
"value": "<answer>[annotations]</answer>"
}
]
}
```
## Path Configuration
The JSON files contain absolute paths starting with `/data/meilong/projects/topoagent/`.
To use this dataset on your local machine:
1. Download the dataset
2. Use the `replace_paths.py` script to update paths:
```bash
python replace_paths.py \
--input downloaded_file.json \
--output updated_file.json \
--old-prefix "/data/meilong/projects/topoagent/" \
--new-prefix "/your/local/path/"
```
## Error Types
The dataset includes annotations for four types of topological errors:
1. **broken_connection**: Missing connections between segments
2. **spurious_connection**: False connections in the segmentation
3. **missing_branch**: Branches that should exist but are missing
4. **extra_branch**: Branches that shouldn't exist but are present
## Citation
If you use this dataset, please cite:
```bibtex
@dataset{topoagent_dataset,
title={TopoAgent Dataset},
author={Your Name},
year={2026},
publisher={Hugging Face},
url={https://huggingface.co/datasets/LucasSaiGao/src}
}
```
## License
This dataset is released under CC-BY-NC-4.0 license.
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