README.md

---
language:
- fr
- es
- zh
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: test
    path: "test/data-00000-of-00001.arrow"
---

# MultiNRC: Multilingual Native Reasoning Challenge

MultiNRC is a challenging evaluation benchmark for large language models, designed to assess multilingual reasoning ability in French, Spanish, and Chinese. Unlike existing benchmarks that simply translate English-centric content, MultiNRC consists of over 1,000 native-authored reasoning questions, crafted by native speakers to capture linguistic and cultural nuances.

## Features

- **Languages:** French, Spanish, Chinese
- **Categories:** 
  - Language-specific Linguistic Reasoning
  - Wordplay & Riddles
  - Cultural Reasoning & Traditions
  - Math Reasoning with Cultural Relevance
- **English Equivalents:** For Cultural/Tradition and Math, human-translated English versions are provided for direct comparison.
- **Ground Truth Final Answers:** Short, objective answers accompany each prompt for automatic evaluation.


## Dataset Structure

Each entry includes:
- A native-language prompt and answer (`i18n_prompt`, `i18n_gtfa`)
- (For Math Reasoning and Cultural Reasoning category tasks) An English-equivalent prompt and answer (`english_prompt`, `english_gtfa`)
- Metadata: `task_id`, `language`, `category`

## Citation

If you use MultiNRC in your research, please cite:

```bibtex
@article{fabbri2025multinrc,
  title = {MultiNRC: A Challenging Native Multilingual Reasoning Evaluation Benchmark for LLMs},
  author = {Fabbri, Alexander R. and Mares, Diego and Flores, Jorge and Mankikar, Meher and Hernandez, Ernesto and Lee, Dean and Liu, Bing and Xing, Chen},
  year = {2025},
  note = {arXiv preprint, arXiv:XXXX.XXXXX}
}