README.md

---
language:
- en
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
- visual-question-answering
pretty_name: Geoperception
tags:
- multi-modal-qa
- math-qa
- figure-qa
- geometry-qa
- math-word-problem
- vqa
- geometry-reasoning
- numeric-common-sense
- scientific-reasoning
- logical-reasoning
- geometry-diagram
- synthetic-scene
- scientific-figure
- function-plot
- abstract-scene
- mathematics
dataset_info:
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: predicate
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 294203058.193
    num_examples: 11657
  download_size: 93419701
  dataset_size: 294203058.193
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Geoperception

A Benchmark for Low-level Geometric Perception


## Dataset Details

### Dataset Description

Geoperception is a benchmark focused specifically on accessing model's low-level visual perception ability in 2D geometry.

It is sourced from the Geometry-3K corpus, which offers precise logical forms for geometric diagrams, compiled from popular high-school textbooks.


### Dataset Sources

- **Repository:** [https://github.com/euclid-multimodal/Euclid-Model]
- **Paper:** [More Information Needed]
- **Demo:** [More Information Needed]

## Uses

Evaluation of multimodal LLM's ability of low-level visual perception in 2D geometry domain.

## Dataset Structure

### Fields

- **id** identification of each data instance
- **question** question
- **answer** answer
- **predicate** question type, including
  - **PointLiesOnLine**
  - **LineComparison**
  - **PointLiesOnCircle**
  - **AngleClassification**
  - **Parallel**
  - **Perpendicular**
  - **Equal**
- **image** image

## Citation

**BibTeX:**

[More Information Needed]