This PR significantly expands the dataset card for the SpaCE-10 dataset to provide a comprehensive and user-friendly resource on the Hugging Face Hub.
Key updates include:
- **Expanded Description**: Detailed introduction to SpaCE-10, outlining its purpose as a benchmark for MLLMs in compositional spatial intelligence, its key features, and scope.
- **GitHub Repository Link**: Added a direct link to the official GitHub repository for code and further resources.
- **Visual Enhancements**: Integrated logo, teaser image, and performance leaderboards (including "Single-Choice vs. Double-Choice" and "Capability Score Ranking") directly from the GitHub README, with corrected image paths for display on the Hub.
- **Practical Guides**: Included sections for "News," "Environment" setup, and "Evaluation" instructions to help users get started efficiently.
- **Sample Usage**: Added a Python code snippet demonstrating how to load the dataset using the `datasets` library, facilitating quick adopti…
