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README.md
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---
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language:
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- en
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tags:
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- remote-sensing
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- image-quality
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- benchmark
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- visual-question-answering
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task_categories:
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- visual-question-answering
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- image-classification
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pretty_name: SenseBench
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license: cc-by-4.0
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: image_1
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dtype: image
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- name: image_2
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dtype: image
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- name: question
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dtype: string
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- name: answer
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dtype: string
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splits:
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- name: test
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num_bytes: 10229406144
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num_examples: 10815
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download_size: 6662451172
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dataset_size: 10229406144
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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# SenseBench
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A benchmark for remote sensing low-level visual perception and description in large vision-language models.
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## Dataset Structure
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- **10,815** samples
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- **14,540** images (6.3 GB)
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- 4 question types: single-choice (multi-image), single-choice (single-image), multi-choice, open-ended description
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## Example
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| image_1 | image_2 | question | answer |
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|---------|---------|----------|--------|
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|  |  | Compared with Image 1 (reference), does Image 2 exhibit noticeable gaussian blur artifacts? | A. Yes |
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## Citation
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```bibtex
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@article{},
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title={},
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author={},
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year={}
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}
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```
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