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Datasets:
LLaMAX
/
BenchMAX_Model-based

Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Chinese
Spanish
Size:
1K - 10K
ArXiv:
Tags:
multilingual
instruction-following
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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BenchMAX_Model-based / README.md
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metadata
license: cc-by-4.0
task_categories:
  - text-generation
language:
  - en
  - zh
  - es
  - fr
  - de
  - ru
  - ja
  - th
  - sw
  - te
  - bn
  - ar
  - ko
  - vi
  - cs
  - hu
  - sr
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
configs:
  - config_name: en
    data_files: arenahard_en.jsonl
  - config_name: zh
    data_files: arenahard_zh.jsonl
  - config_name: es
    data_files: arenahard_es.jsonl
  - config_name: fr
    data_files: arenahard_fr.jsonl
  - config_name: de
    data_files: arenahard_de.jsonl
  - config_name: ru
    data_files: arenahard_ru.jsonl
  - config_name: ja
    data_files: arenahard_ja.jsonl
  - config_name: th
    data_files: arenahard_th.jsonl
  - config_name: bn
    data_files: arenahard_bn.jsonl
  - config_name: sw
    data_files: arenahard_sw.jsonl
  - config_name: te
    data_files: arenahard_te.jsonl
  - config_name: ar
    data_files: arenahard_ar.jsonl
  - config_name: ko
    data_files: arenahard_ko.jsonl
  - config_name: vi
    data_files: arenahard_vi.jsonl
  - config_name: cs
    data_files: arenahard_cs.jsonl
  - config_name: hu
    data_files: arenahard_hu.jsonl
  - config_name: sr
    data_files: arenahard_sr.jsonl
tags:
  - multilingual
  - instruction-following

Dataset Sources

Dataset Description

BenchMAX_Model-based is a dataset of BenchMAX, sourcing from m-ArenaHard.

We extend the original English dataset to 16 non-English languages by first translating and then manual post-editing.

Supported Languages

Arabic, Bengali, Chinese, Czech, English, French, German, Hungarian, Japanese, Korean, Serbian, Spanish, Swahili, Telugu, Thai, Russian, Vietnamese

Citation

If you find our dataset helpful, please cite this paper:

@article{huang2025benchmax,
  title={BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models},
  author={Huang, Xu and Zhu, Wenhao and Hu, Hanxu and He, Conghui and Li, Lei and Huang, Shujian and Yuan, Fei},
  journal={arXiv preprint arXiv:2502.07346},
  year={2025}
}