|
|
--- |
|
|
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. |
