--- Paper: arxiv.org/abs/2406.16772 license: cc-by-nc-sa-4.0 dataset_info: - config_name: Math features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 3153019 num_examples: 2977 - name: val num_bytes: 484904 num_examples: 244 download_size: 1402261 dataset_size: 3637923 - config_name: Physics features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 3139836 num_examples: 1303 - name: val num_bytes: 283157 num_examples: 90 download_size: 1613993 dataset_size: 3422993 - config_name: Chemistry features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 3102033 num_examples: 1354 - name: val num_bytes: 284518 num_examples: 65 download_size: 1389141 dataset_size: 3386551 - config_name: Biology features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 3483679 num_examples: 1495 - name: val num_bytes: 238015 num_examples: 63 download_size: 1814227 dataset_size: 3721694 - config_name: Geography features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 2555530 num_examples: 1522 - name: val num_bytes: 138082 num_examples: 68 download_size: 1212126 dataset_size: 2693612 - config_name: Astronomy features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 3161275 num_examples: 1110 - name: val num_bytes: 320943 num_examples: 90 download_size: 1685604 dataset_size: 3482218 - config_name: CS features: - name: id dtype: string - name: problem dtype: string - name: prompt dtype: string - name: figure_urls sequence: string - name: answer sequence: string - name: solution dtype: string - name: answer_type dtype: string - name: unit sequence: string - name: answer_sequence sequence: string - name: type_sequence sequence: string - name: test_cases sequence: - name: input dtype: string - name: output dtype: string - name: subject dtype: string - name: language dtype: string - name: modality dtype: string splits: - name: test num_bytes: 1235615 num_examples: 216 - name: val num_bytes: 496838967 num_examples: 18 download_size: 256590378 dataset_size: 498074582 configs: - config_name: Math data_files: - split: test path: Math/test-* - split: val path: Math/val-* - config_name: Physics data_files: - split: test path: Physics/test-* - split: val path: Physics/val-* - config_name: Chemistry data_files: - split: test path: Chemistry/test-* - split: val path: Chemistry/val-* - config_name: Biology data_files: - split: test path: Biology/test-* - split: val path: Biology/val-* - config_name: Geography data_files: - split: test path: Geography/test-* - split: val path: Geography/val-* - config_name: Astronomy data_files: - split: test path: Astronomy/test-* - split: val path: Astronomy/val-* - config_name: CS data_files: - split: test path: CS/test-* - split: val path: CS/val-* task_categories: - question-answering language: - en - zh pretty_name: OlympicArena size_categories: - 10K<n<100K tags: - croissant --- # OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI **OlympicArena** is a comprehensive, highly-challenging, and rigorously curated benchmark featuring a detailed, fine-grained evaluation mechanism designed to assess advanced AI capabilities across a broad spectrum of Olympic-level challenges. This benchmark encompasses seven disciplines: Mathematics, Physics, Chemistry, Biology, Geography, Astronomy, and Computer Science. Each discipline is divided into two splits: validation (val) and test. The validation split includes publicly available answers for small-scale testing and evaluation, while the test split does not disclose the answers, users could submit their results. # An Example to load the data ```python from datasets import load_dataset dataset=load_dataset("GAIR/OlympicArena", "Math", split="val") print(dataset[0]) ``` More details on loading and using the data are at our [github page](https://github.com/GAIR-NLP/OlympicArena). If you do find our code helpful or use our benchmark dataset, please citing our paper. ``` @article{huang2024olympicarena, title={OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI}, author={Zhen Huang and Zengzhi Wang and Shijie Xia and Xuefeng Li and Haoyang Zou and Ruijie Xu and Run-Ze Fan and Lyumanshan Ye and Ethan Chern and Yixin Ye and Yikai Zhang and Yuqing Yang and Ting Wu and Binjie Wang and Shichao Sun and Yang Xiao and Yiyuan Li and Fan Zhou and Steffi Chern and Yiwei Qin and Yan Ma and Jiadi Su and Yixiu Liu and Yuxiang Zheng and Shaoting Zhang and Dahua Lin and Yu Qiao and Pengfei Liu}, year={2024}, journal={arXiv preprint arXiv:2406.12753}, url={https://arxiv.org/abs/2406.12753} } ```