Datasets:
File size: 1,350 Bytes
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language:
- en
tags:
- remote-sensing
- image-quality-assessment
- benchmark
- visual-question-answering
task_categories:
- visual-question-answering
- image-classification
pretty_name: SenseBench
license: cc-by-4.0
dataset_info:
features:
- name: id
dtype: string
- name: image_1
dtype: image
- name: image_2
dtype: image
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_examples: 10815
configs:
- config_name: default
data_files:
- split: train
path: questions.jsonl
---
# SenseBench
A benchmark for remote sensing low-level visual perception and description in large vision-language models.
- **10,815** samples, **14,330** images
- 4 question types: whether / what / how / description
## Task Types
| Category | Task | Samples | Description |
|----------|------|---------|-------------|
| Perception | whether | 3,800 | Yes/No binary questions |
| Perception | what | 3,800 | Single-choice (A/B/C/D) |
| Perception | how | 2,015 | Severity rating (A/B/C) |
| Description | description | 1,200 | Open-ended quality description |
## Directory Structure
```
├── Perception/
│ ├── single/
│ └── paired/
├── Description/
│ ├── single/
│ └── paired/
└── questions.jsonl
```
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