This PR adds a comprehensive dataset card for the FinGAIA benchmark.
It includes:
- Relevant metadata such as `license: mit`, `task_categories: [image-text-to-text, audio-to-text]`, `language: [zh]`, and various `tags` (`finance`, `agent`, `benchmark`, `multimodal`, `tool-use`, `code`, `chinese`).
- A link to the paper ([FinGAIA: An End-to-End Benchmark for Evaluating AI Agents in Finance](https://huggingface.co/papers/2507.17186)).
- A link to the GitHub repository ([https://github.com/SUFE-AIFLM-Lab/FinGAIA](https://github.com/SUFE-AIFLM-Lab/FinGAIA)).
- A detailed description of the dataset's purpose, structure, and core capabilities, drawing from the paper abstract and the GitHub README.
- A clear example of a task, demonstrating its multimodal and multi-step nature.
- Basic usage instructions for downloading the dataset.
- A summary of the benchmark's performance evaluation.
- The appropriate citation.
This update significantly improves the discoverability and clarity of the Fin…
