| --- |
| language: |
| - en |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - question-answering |
| - visual-question-answering |
| - multiple-choice |
| dataset_info: |
| - config_name: Chemistry |
| features: |
| - name: pid |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: image_1 |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: image_3 |
| dtype: image |
| - name: image_4 |
| dtype: image |
| - name: image_5 |
| dtype: image |
| - name: solution |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: task |
| dtype: string |
| - name: category |
| dtype: string |
| - name: source |
| dtype: string |
| - name: type |
| dtype: string |
| - name: context |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 49337131.36 |
| num_examples: 1176 |
| download_size: 38090732 |
| dataset_size: 49337131.36 |
| - config_name: Coding |
| features: |
| - name: pid |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: image_1 |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: image_3 |
| dtype: image |
| - name: image_4 |
| dtype: image |
| - name: image_5 |
| dtype: image |
| - name: solution |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: task |
| dtype: string |
| - name: category |
| dtype: string |
| - name: source |
| dtype: string |
| - name: type |
| dtype: string |
| - name: context |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 201047028.0 |
| num_examples: 564 |
| download_size: 156921633 |
| dataset_size: 201047028.0 |
| - config_name: Math |
| features: |
| - name: pid |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: image_1 |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: image_3 |
| dtype: image |
| - name: image_4 |
| dtype: image |
| - name: image_5 |
| dtype: image |
| - name: solution |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: task |
| dtype: string |
| - name: category |
| dtype: string |
| - name: source |
| dtype: string |
| - name: type |
| dtype: string |
| - name: context |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 55727097.0 |
| num_examples: 892 |
| download_size: 49594723 |
| dataset_size: 55727097.0 |
| - config_name: Physics |
| features: |
| - name: pid |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: image_1 |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: image_3 |
| dtype: image |
| - name: image_4 |
| dtype: image |
| - name: image_5 |
| dtype: image |
| - name: solution |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: task |
| dtype: string |
| - name: category |
| dtype: string |
| - name: source |
| dtype: string |
| - name: type |
| dtype: string |
| - name: context |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 20512520.0 |
| num_examples: 156 |
| download_size: 13597019 |
| dataset_size: 20512520.0 |
| - config_name: All |
| features: |
| - name: pid |
| dtype: string |
| - name: question |
| dtype: string |
| - name: options |
| sequence: string |
| - name: answer |
| dtype: string |
| - name: image_1 |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: image_3 |
| dtype: image |
| - name: image_4 |
| dtype: image |
| - name: image_5 |
| dtype: image |
| - name: solution |
| dtype: string |
| - name: subject |
| dtype: string |
| - name: task |
| dtype: string |
| - name: category |
| dtype: string |
| - name: source |
| dtype: string |
| - name: type |
| dtype: string |
| - name: context |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 326623776.36 |
| num_examples: 2788 |
| download_size: 258203107 |
| dataset_size: 326623776.36 |
| configs: |
| - config_name: Chemistry |
| data_files: |
| - split: test |
| path: Chemistry/test-* |
| - config_name: Coding |
| data_files: |
| - split: test |
| path: Coding/test-* |
| - config_name: Math |
| data_files: |
| - split: test |
| path: Math/test-* |
| - config_name: Physics |
| data_files: |
| - split: test |
| path: Physics/test-* |
| - config_name: All |
| data_files: |
| - split: test |
| path: All/test-* |
| tags: |
| - chemistry |
| - physics |
| - math |
| - coding |
| --- |
| |
| ## Dataset Description |
|
|
| **EMMA (Enhanced MultiModal reAsoning)** is a benchmark targeting organic multimodal reasoning across mathematics, physics, chemistry, and coding. |
| EMMA tasks demand advanced cross-modal reasoning that cannot be solved by thinking separately in each modality, offering an enhanced test suite for MLLMs' reasoning capabilities. |
|
|
| EMMA is composed of 2,788 problems, of which 1,796 are newly constructed, across four domains. Within each subject, we further provide fine-grained labels for each question based on the specific skills it measures. |
|
|
| <p align="center"> |
| <img src="https://huggingface.co/datasets/luckychao/EMMA/resolve/main/emma_composition.jpg" width="30%"> <br> |
| </p> |
| |
| ## Paper Information |
|
|
| - Paper: https://www.arxiv.org/abs/2501.05444 |
| - Code: https://github.com/hychaochao/EMMA |
| - Project: https://emma-benchmark.github.io/ |
|
|
|
|
| ### Data Format |
|
|
| The dataset is provided in jsonl format and contains the following attributes: |
|
|
| ``` |
| { |
| "pid": [string] Problem ID, e.g., “math_1”, |
| "question": [string] The question text, |
| "options": [list] Choice options for multiple-choice problems. For free-form problems, this could be a 'none' value, |
| "answer": [string] The correct answer for the problem, |
| "image_1": [image] , |
| "image_2": [image] , |
| "image_3": [image] , |
| "image_4": [image] , |
| "image_5": [image] , |
| "solution": [string] The detailed thinking steps required to solve the problem, |
| "subject": [string] The subject of data, e.g., “Math”, “Physics”..., |
| "task": [string] The task of the problem, e.g., “Code Choose Vis”, |
| "category": [string] The category of the problem, e.g., “2D Transformation”, |
| "source": [string] The original source dataset of the data, e.g., “math-vista”. For handmade data, this could be “Newly annotated” , |
| "type": [string] Types of questions, e.g., “Multiple Choice”, “Open-ended”, |
| "context": [string] Background knowledge required for the question. For problems without context, this could be a 'none' value, |
| } |
| ``` |
|
|
| ## Citation |
|
|
| ``` |
| @misc{hao2025mllmsreasonmultimodalityemma, |
| title={Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark}, |
| author={Yunzhuo Hao and Jiawei Gu and Huichen Will Wang and Linjie Li and Zhengyuan Yang and Lijuan Wang and Yu Cheng}, |
| year={2025}, |
| eprint={2501.05444}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2501.05444}, |
| } |
| ``` |
|
|
