Datasets:

---

Cusyoung

/

SpaCE-10

like 2

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 adoption.
• Metadata Tags: Added multimodal, benchmark, spatial-reasoning, and indoor-scenes tags to the YAML metadata for improved discoverability and categorization within the Hugging Face ecosystem.
• Citation: Ensured the academic citation is included for proper attribution.

These additions aim to make the SpaCE-10 dataset card a complete reference for researchers and practitioners.