---
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](https://huggingface.co/papers/2609.07064). 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](https://github.com/rsoohyun/SpatialBlock). The dataset is released under the Apache License 2.0.