Datasets:
File size: 1,033 Bytes
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---
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. |