metadata
task_categories:
- image-feature-extraction
- image-text-to-text
tags:
- vlm
- mechanistic-interpretability
- compositional-reasoning
- synthetic-data
pretty_name: Toy Shapes Dataset
dataset_info:
features:
- name: num_shapes
dtype: int64
- name: shape_0
dtype: string
- name: color_0
dtype: string
- name: position_0
dtype: string
- name: shape_1
dtype: string
- name: color_1
dtype: string
- name: position_1
dtype: string
- name: shape_2
dtype: string
- name: color_2
dtype: string
- name: position_2
dtype: string
- name: shape_3
dtype: string
- name: color_3
dtype: string
- name: position_3
dtype: string
- name: shape_4
dtype: string
- name: color_4
dtype: string
- name: position_4
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 1559700
num_examples: 500
download_size: 1354975
dataset_size: 1559700
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
arxiv: 2508.16652
This dataset is used in the work "Do VLMs Have Bad Eyes? Diagnosing Compositional Failures via Mechanistic Interpretability" Paper
For more details, please refer to the GitHub repository.