Datasets:
| 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. |