metadata

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]