Datasets:

Zhongchenchen
/

SenseBench

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