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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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|
- name: metadata |
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dtype: string |
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splits: |
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|
- name: train |
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|
num_bytes: 6174743543.802 |
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|
num_examples: 1142 |
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|
download_size: 6408762030 |
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|
dataset_size: 6174743543.802 |
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|
configs: |
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|
- config_name: default |
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|
data_files: |
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|
- split: train |
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|
path: data/train-* |
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|
--- |
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# GeoBench (GeoVista Bench) |
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GeoVistaBench is a collection of real-world panoramas with rich metadata for evaluating geolocation models. Each sample is a single image uniquely identified by a uid and includes both the original high-resolution panorama and a lightweight preview for fast inspection. |
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For the latest previewable version, please visit: https://huggingface.co/datasets/LibraTree/GeoVistaBench |
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## Related Resources |
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• GeoVista-Bench (previewable variant): |
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A companion dataset with resized JPEG previews intended to make image preview easier in the Hugging Face dataset viewer: |
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https://huggingface.co/datasets/LibraTree/GeoVistaBench |
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(Same underlying benchmark; different packaging / image formats.) |
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• Paper page on Hugging Face: |
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https://huggingface.co/papers/2511.15705 |
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## Citation |
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|
``` |
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@misc{wang2025geovistawebaugmentedagenticvisual, |
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title = {GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization}, |
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author = {Yikun Wang and Zuyan Liu and Ziyi Wang and Pengfei Liu and Han Hu and Yongming Rao}, |
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|
year = {2025}, |
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eprint = {2511.15705}, |
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archivePrefix= {arXiv}, |
|
|
primaryClass = {cs.CV}, |
|
|
url = {https://arxiv.org/abs/2511.15705}, |
|
|
} |
|
|
``` |
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|