Datasets:

darknoon
/

simple-shapes-svg

dataset_info:
  features:
    - name: desc
      dtype: string
    - name: svg
      dtype: string
    - name: image
      dtype: image
    - name: shape_name
      dtype: string
    - name: bg_color
      dtype: string
    - name: color
      dtype: string
  splits:
    - name: train
      num_bytes: 42790193
      num_examples: 10000
  download_size: 29535146
  dataset_size: 42790193
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
task_categories:
  - image-to-text
language:
  - en
tags:
  - code
pretty_name: Simple Shapes SVG

The goal of this dataset is to measure and improve the ability of VLMs to see accurately in spatial dimensions.

I've tried to ensure that all of the examples are not too hard

have sufficient contrast between foreground and background
shapes are not clipped or ambiguous
solid background
canvas is square 512x512

Initially, I've kept the "canvas" that they're working with 512x512 points, but you can learn more by experimenting with the dimensions as well.