Datasets:
metadata
license: apache-2.0
task_categories:
- image-text-to-text
dataset_info:
features:
- name: images
list: image
- name: problem
dtype: string
- name: answer
dtype: string
- name: question_id
dtype: string
- name: question_type
dtype: string
splits:
- name: train
num_bytes: 1355735510
num_examples: 15000
- name: test
num_bytes: 53885671
num_examples: 600
download_size: 1394022242
dataset_size: 1409621181
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
SpatialBlock-15k
This dataset accompanies the paper SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem. It contains 15,000 synthetic block-stacking problems for training large vision-language models (LVLMs) to improve spatial reasoning. The dataset includes three types of multiple-choice questions:
- Q1: 3D-to-2D projection
- Q2: viewpoint transformation
- Q3: structural combination
The dataset is organized into a train split of 15,000 examples and a test split of 600 examples. Code, training scripts, and model checkpoints are available in the GitHub repository. The dataset is released under the Apache License 2.0.