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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-generation |
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- question-answering |
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language: |
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- ro |
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tags: |
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- code |
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- mathematics |
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- reasoning |
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- romanian |
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pretty_name: RoMath |
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size_categories: |
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- 10K<n<100K |
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configs: |
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- config_name: synthetic |
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data_files: |
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- split: train |
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path: 'romath-deepmind-train.csv' |
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- split: test |
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path: 'romath-deepmind-test.csv' |
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|
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- config_name: bac |
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data_files: |
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- split: train |
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path: "romath-bac-train.csv" |
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- split: test |
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path: "romath-bac-test.csv" |
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|
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- config_name: comps |
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data_files: |
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- split: train |
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path: "romath-comps-train.csv" |
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- split: test |
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path: "romath-comps-test.csv" |
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--- |
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# RoMath - A Mathematical Reasoning Benchmarking Suite from Descriptions in 🇷🇴 Romanian 🇷🇴" |
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This is the official dataset for RoMath. It currently is comprised of the test and training splits for `RoMath-Baccalaureate`, `RoMath-Competitions` and `RoMath-Synthetic`. |
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Mathematics has long been conveyed through natural language, primarily for human understanding. With the rise of mechanized mathematics and proof assistants, there is a growing need to understand informal mathematical text, yet most existing benchmarks focus solely on English, overlooking other languages. This paper introduces RoMath, a Romanian mathematical reasoning benchmark suite comprising three datasets: RoMath-Baccalaureate, RoMath-Competitions and RoMath-Synthetic, which cover a range of mathematical domains and difficulty levels, aiming to improve non-English language models and promote multilingual AI development. By focusing on Romanian, a low-resource language with unique linguistic features, RoMath addresses the limitations of Anglo-centric models and emphasizes the need for dedicated resources beyond simple automatic translation. We benchmark several open-weight language models, highlighting the importance of creating resources for underrepresented languages. |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** Adrian Cosma, Ana-Maria Bucur, Emilian Radoi |
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- **Language(s) (NLP):** Romanian, Latex |
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### Dataset Sources |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** https://github.com/cosmaadrian/romath |
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- **Paper:** https://arxiv.org/abs/2409.11074 |
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## Uses |
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Fine-tuning and evaluation of Large-Language Models for Mathematical Reasoning from Romanian prompts. |
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## Citation |
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``` |
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@misc{cosma2024romath, |
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title={RoMath: A Mathematical Reasoning Benchmark in Romanian}, |
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author={Adrian Cosma and Ana-Maria Bucur and Emilian Radoi}, |
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year={2024}, |
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eprint={2409.11074}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2409.11074}, |
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} |
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``` |
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## Dataset Card Contact |
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For any information contact Adrian Cosma (`[email protected]`) |
