This PR enhances the dataset card by adding crucial metadata and a sample usage section:
- Adds `task_categories` (`question-answering`, `text-generation`, `reinforcement-learning`) to accurately reflect the dataset's domain.
- Adds `language: ['en']` as the dataset content is in English.
- Adds `size_categories: ['10K<n<100K']` based on the total number of examples.
- Adds relevant `tags` (`multi-agent`, `tool-use`, `llm-agents`, `reinforcement-learning-from-feedback`) to improve searchability.
- Introduces a "Sample Usage" section with a `load_dataset` Python snippet, demonstrating how to easily access the dataset programmatically, which is essential for a Hugging Face Hub dataset.
- Preserves existing arXiv links in line with guidelines.
These additions will significantly improve the discoverability and usability of the dataset on the Hugging Face Hub.