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--- |
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license: cc0-1.0 |
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tags: |
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- science |
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- physics |
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- chemistry |
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- problem-solving |
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- multimodal |
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- scientific-reasoning |
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- bilingual |
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features: |
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- name: problem_id |
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dtype: string |
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- name: discipline |
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dtype: ClassLabel |
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names: |
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- Physics |
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- Chemistry |
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- name: problem |
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features: |
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- name: en |
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dtype: string |
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- name: zh |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: image |
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dtype: image |
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--- |
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# ScienceOlympiad: Challenging AI with Olympiad-Level Multimodal Science Problems |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [How to Use](#how-to-use) |
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- [Citation](#citation) |
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- [License](#license) |
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## Dataset Description |
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The **ScienceOlympiad** dataset is a meticulously curated benchmark designed to test the limits of current AI models in scientific reasoning. It comprises elite, competition-level problems in physics and chemistry. Addressing the need for more diverse and realistic challenges, **ScienceOlympiad** introduces multimodal integration as a key dimension. Unlike purely text-based datasets, a significant portion of problems requires models to analyze and interpret visual information from diagrams and figures—a critical skill for real-world scientific problem-solving. Our objective is for ScienceOlympiad to serve as a pivotal evaluation tool, accelerating progress in domain-specific reasoning for the physical and chemical sciences while advancing the frontier of integrated text and visual understanding. |
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## Data Fields |
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Each entry in the dataset represents a single problem and contains the following fields: |
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- `problem_id`: (`string`) - A unique identifier for each problem. |
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- `discipline`: (`ClassLabel`) - The scientific discipline of the problem (`Physics` or `Chemistry`). |
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- `problem`: (A dictionary of `string`) - A dictionary containing the problem statement in both English (`en`) and Chinese (`zh`). |
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- `answer`: (`string`) - The correct answer or solution. |
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- `image`: (`Image`) - An image or diagram associated with the problem, stored in the `images/` directory. This field will be `None` if no image is present. |
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## Data Splits |
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This dataset consists of a single **`test`** split, provided in the `test.parquet` file. |
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## Dataset Creation |
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The dataset is composed of a curated collection of problems from three sources: classic problems, adaptations of established problems, and original compositions. Each problem has been meticulously reviewed to ensure rigorous difficulty and unambiguous wording. |
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## How to Use |
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You can load the dataset using the Hugging Face `datasets` library: |
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```python |
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from datasets import load_dataset, Image |
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import matplotlib.pyplot as plt |
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import datasets |
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# Force a redownload to get the latest metadata |
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features = datasets.Features({ |
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'problem_id': datasets.Value('string'), |
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'discipline': datasets.ClassLabel(names=['Physics', 'Chemistry']), |
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'problem': { |
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'en': datasets.Value('string'), |
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'zh': datasets.Value('string'), |
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}, |
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'answer': datasets.Value('string'), |
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'image': datasets.Image(decode=True), |
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}) |
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ds = load_dataset("ByteDance-Seed/ScienceOlympiad", features=features) |
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test_ds = ds['test'] |
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example = test_ds[60] |
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image_data = example['image'] |
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if image_data: |
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plt.imshow(image_data) |
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plt.show() |
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``` |
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## Citation |
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If you use the ScienceOlympiad dataset in your research or work, please consider citing it: |
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```bibtex |
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@misc{bytedance_seed_2025_scienceolympiad, |
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author = {[Bytedance-Seed]}, |
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title = {ScienceOlympiad: Challenging AI with Olympiad-Level Multimodal Science Problems}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face repository}, |
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howpublished = {\url{[https://huggingface.co/datasets/Bytedance-Seed/ScienceOlympiad](https://huggingface.co/datasets/Bytedance-Seed/ScienceOlympiad)}}, |
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} |
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``` |
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## License |
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ScienceOlympiad is released under the **CC0 1.0 Universal (CC0 1.0) Public Domain Dedication**. |
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This means the work has been dedicated to the public domain by waiving all rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute, and perform the work, even for commercial purposes, all without asking permission. For more details, see the [LICENSE](LICENSE) file or the [full legal text of the CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode). |
