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  ## Introduction
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- FAMMA dataset consists of 1,758 meticulously collected multimodal questions. The questions encompass three heterogeneous image types - tables, charts and text & math screenshots - and span eight subfields in finance, comprehensively covering topics across major asset classes. Additionally, all the questions are categorized by three difficulty levels — easy, medium, and hard - and are available in three languages — English, Chinese, and French. Furthermore, the questions are divided into two types: multiple-choice and open questions.
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- The leaderboard is regularly updated and can be accessed at https://famma-bench.github.io/famma/.
 
 
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- ** Note: we are reconstructing the dataset again, which will be finihsed before Feb. **
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  ## Dataset Structure
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  ### features
 
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  ## Introduction
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+ <div align="center">
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+ <a href="https://famma-bench.github.io/famma/"><img alt="Home Page" src="https://img.shields.io/badge/🌐-Home_Page-blue"></a>
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+ </div>
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+ `FAMMA` is a multi-modal financial Q&A benchmark dataset. The questions encompass three heterogeneous image types - tables, charts and text & math screenshots - and span eight subfields in finance, comprehensively covering topics across major asset classes. Additionally, all the questions are categorized by three difficulty levels — easy, medium, and hard - and are available in three languages — English, Chinese, and French. Furthermore, the questions are divided into two types: multiple-choice and open questions.
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+ The leaderboard is regularly updated and can be accessed at https://famma-bench.github.io/famma/.
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+ The project code is available at https://github.com/famma-bench/bench-script.
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+ ## NEWS
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+ 🔥 **Latest Updates**:
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+ - [2024/01] Release of `release_v2406` dataset, now including answers and explanations with enhanced quality.
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+ - [2024/06] Initial public release of `FAMMA` benchmark (based on the `release_v2406` dataset), along with our paper: [FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering](https://arxiv.org/abs/2410.04526).
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+ ## Dataset Versions
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+ FAMMA is continuously updated with new questions. We provide different versions of the dataset:
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+ * `release_v2406`: The release containing 1935 questions, collected from online sources. Apart from the questions, both answers and explanations are provided.
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+ * `release_v2501`: The release containing 100 questions, created by invited experts. Only the questions are provided.
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  ## Dataset Structure
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  ### features