This PR updates the dataset card for the `Golden Touchstone` benchmark dataset. The updates aim to provide better context regarding its use and relation to the recent research presented in the paper [Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval](https://huggingface.co/papers/2509.21710) and its associated `RAG-Factory` framework.
Key changes include:
* Adding `task_categories: ['question-answering']` to improve discoverability.
* Adding `language: ['en', 'zh']` to reflect its bilingual nature, as it's a "Comprehensive Bilingual Benchmark".
* Adding relevant `tags` such as `rag`, `graph-neural-networks`, `llm-reasoning`, `financial`, `benchmark`, and `bilingual`.
* Including a direct link to the `Think-on-Graph 3.0` paper on Hugging Face.
* Adding a link to the `RAG-Factory` GitHub repository, which implements the concepts from the paper and can utilize this dataset.
* Incorporating the abst…
