| --- |
| task_categories: |
| - multiple-choice |
| - question-answering |
| - visual-question-answering |
| language: |
| - en |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: testmini |
| data_files: |
| - split: testmini |
| path: testmini.parquet |
| - config_name: testmini_text_only |
| data_files: |
| - split: testmini_text_only |
| path: testmini_text_only.parquet |
| dataset_info: |
| - config_name: testmini |
| features: |
| - name: sample_index |
| dtype: string |
| - name: problem_index |
| dtype: string |
| - name: problem_version |
| dtype: string |
| - name: question |
| dtype: string |
| - name: image |
| dtype: image |
| - name: answer |
| dtype: string |
| - name: question_type |
| dtype: string |
| - name: metadata |
| struct: |
| - name: split |
| dtype: string |
| - name: source |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: subfield |
| dtype: string |
| - name: query_wo |
| dtype: string |
| - name: query_cot |
| dtype: string |
| - name: question_for_eval |
| dtype: string |
| splits: |
| - name: testmini |
| num_bytes: 166789963 |
| num_examples: 3940 |
| - config_name: testmini_text_only |
| features: |
| - name: sample_index |
| dtype: string |
| - name: problem_index |
| dtype: string |
| - name: problem_version |
| dtype: string |
| - name: question |
| dtype: string |
| - name: image |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: question_type |
| dtype: string |
| - name: metadata |
| struct: |
| - name: split |
| dtype: string |
| - name: source |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: subfield |
| dtype: string |
| - name: query_wo |
| dtype: string |
| - name: query_cot |
| dtype: string |
| - name: question_for_eval |
| dtype: string |
| splits: |
| - name: testmini_text_only |
| num_bytes: 250959 |
| num_examples: 788 |
| license: mit |
| --- |
| # Dataset Card for MathVerse |
|
|
| - [Dataset Description](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#dataset-description) |
| - [Paper Information](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#paper-information) |
| - [Dataset Examples](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#dataset-examples) |
| - [Leaderboard](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#leaderboard) |
| - [Citation](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#citation) |
|
|
| ## Dataset Description |
| The capabilities of **Multi-modal Large Language Models (MLLMs)** in **visual math problem-solving** remain insufficiently evaluated and understood. We investigate current benchmarks to incorporate excessive visual content within textual questions, which potentially assist MLLMs in deducing answers without truly interpreting the input diagrams. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/fig1.png" width="90%"> <br> |
| </p> |
| |
| To this end, we introduce **MathVerse**, an all-around visual math benchmark designed for an equitable and in-depth evaluation of MLLMs. We meticulously collect 2,612 high-quality, multi-subject math problems with diagrams from publicly available sources. Each problem is then transformed by human annotators into **six distinct versions**, each offering varying degrees of information content in multi-modality, contributing to **15K** test samples in total. This approach allows MathVerse to comprehensively assess ***whether and how much MLLMs can truly understand the visual diagrams for mathematical reasoning.*** |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/fig2.png" width="90%"> <br> |
| Six different versions of each problem in <b>MathVerse</b> transformed by expert annotators. |
| </p> |
| |
| In addition, we propose a **Chain-of-Thought (CoT) Evaluation strategy** for a fine-grained assessment of the output answers. Rather than naively judging True or False, we employ GPT-4(V) to adaptively extract crucial reasoning steps, and then score each step with detailed error analysis, which can reveal the intermediate CoT reasoning quality by MLLMs. |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/fig3.png" width="90%"> <br> |
| The two phases of the CoT evaluation strategy. |
| </p> |
| |
| ## Paper Information |
| - Code: https://github.com/ZrrSkywalker/MathVerse |
| - Project: https://mathverse-cuhk.github.io/ |
| - Visualization: https://mathverse-cuhk.github.io/#visualization |
| - Leaderboard: https://mathverse-cuhk.github.io/#leaderboard |
| - Paper: https://arxiv.org/abs/2403.14624 |
|
|
| ## Dataset Examples |
| 🖱 Click to expand the examples for six problems versions within three subjects</summary> |
|
|
| <details> |
| <summary>🔍 Plane Geometry</summary> |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/ver1.png" width="50%"> <br> |
| </p> |
| </details> |
| |
| <details> |
| <summary>🔍 Solid Geometry</summary> |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/ver2.png" width="50%"> <br> |
| </p> |
| </details> |
| |
| <details> |
| <summary>🔍 Functions</summary> |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/ZrrSkywalker/MathVerse/main/figs/ver3.png" width="50%"> <br> |
| </p> |
| </details> |
| |
| ## Leaderboard |
| ### Contributing to the Leaderboard |
|
|
| 🚨 The [Leaderboard](https://mathverse-cuhk.github.io/#leaderboard) is continuously being updated. |
|
|
| The evaluation instructions and tools will be released soon. For now, please send your results on the ***testmini*** set to this email: 1700012927@pku.edu.cn. Please refer to the following template to prepare your result json file. |
|
|
| - [output_testmini_template.json]() |
|
|
| ## License |
| This project is released under the MIT license. |
|
|
| ## Citation |
|
|
| If you find **MathVerse** useful for your research and applications, please kindly cite using this BibTeX: |
|
|
| ```latex |
| @inproceedings{zhang2024mathverse, |
| title={MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?}, |
| author={Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li}, |
| booktitle={arXiv}, |
| year={2024} |
| } |
| ``` |