metadata

license: cc-by-nc-4.0
task_categories:
  - text-generation
  - question-answering
language:
  - ro
tags:
  - code
  - mathematics
  - reasoning
  - romanian
pretty_name: RoMath
size_categories:
  - 10K<n<100K
configs:
  - config_name: synthetic
    data_files:
      - split: train
        path: romath-deepmind-train.csv
      - split: test
        path: romath-deepmind-test.csv
  - config_name: bac
    data_files:
      - split: train
        path: romath-bac-train.csv
      - split: test
        path: romath-bac-test.csv
  - config_name: comps
    data_files:
      - split: train
        path: romath-comps-train.csv
      - split: test
        path: romath-comps-test.csv

RoMath - A Mathematical Reasoning Benchmarking Suite from Descriptions in 🇷🇴 Romanian 🇷🇴"

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.

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.

Dataset Details

Dataset Description

Curated by: Adrian Cosma, Ana-Maria Bucur, Emilian Radoi
Language(s) (NLP): Romanian, Latex

Dataset Sources

Repository: https://github.com/cosmaadrian/romath
Paper: https://arxiv.org/abs/2409.11074

Uses

Fine-tuning and evaluation of Large-Language Models for Mathematical Reasoning from Romanian prompts.

Citation

@misc{cosma2024romath,
      title={RoMath: A Mathematical Reasoning Benchmark in Romanian}, 
      author={Adrian Cosma and Ana-Maria Bucur and Emilian Radoi},
      year={2024},
      eprint={2409.11074},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.11074}, 
}

Dataset Card Contact

For any information contact Adrian Cosma ([email protected])