Datasets:
Add license, task category, and description
#2
by nielsr HF Staff - opened
README.md
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dataset_info:
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features:
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- name: images
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- split: test
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path: data/test-*
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---
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license: apache-2.0
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task_categories:
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- image-text-to-text
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dataset_info:
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features:
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- name: images
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- split: test
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path: data/test-*
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---
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# SpatialBlock-15k
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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:
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- **Q1**: 3D-to-2D projection
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- **Q2**: viewpoint transformation
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- **Q3**: structural combination
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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.
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