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---
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 | |