---
dataset_info:
  features:
  - name: question_id
    dtype: string
  - name: question
    dtype: string
  - name: answers
    sequence: string
  - name: question_type
    dtype: string
  - name: correct_answer
    dtype: string
  - name: images
    sequence: image
  splits:
  - name: test
    num_bytes: 132799296.0
    num_examples: 150
  download_size: 239506034
  dataset_size: 265598592.0
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---


# Introduction

**Disclaimer:** This dataset is organized and adapted from [array/SAT](https://huggingface.co/datasets/array/SAT). The original data has been converted here into a more accessible and easy-to-use format.

SAT: Spatial Aptitude Training for Multimodal Language Models. (150 image QA pairs) Real-image dynamic test set.

# Data Fields

| Field Name       | Type              | Description             |
|------------------|-------------------|-------------------------|
| question_id      | string            | Unique question ID      |
| question         | string            | Question text           |
| question_type    | string            | Type of question        |
| answers          | list[string]      | Answer options          |
| correct_answer   | string            | Answer                  |
| images           | list[Image]       | Image data              |