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Datasets:
LLaMAX
/
BenchMAX_Multiple_Functions

Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Chinese
Spanish
Size:
1K - 10K
ArXiv:
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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BenchMAX_Multiple_Functions / 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: nexus_en.jsonl
  - config_name: zh
    data_files: nexus_zh.jsonl
  - config_name: es
    data_files: nexus_es.jsonl
  - config_name: fr
    data_files: nexus_fr.jsonl
  - config_name: de
    data_files: nexus_de.jsonl
  - config_name: ru
    data_files: nexus_ru.jsonl
  - config_name: ja
    data_files: nexus_ja.jsonl
  - config_name: th
    data_files: nexus_th.jsonl
  - config_name: bn
    data_files: nexus_bn.jsonl
  - config_name: sw
    data_files: nexus_sw.jsonl
  - config_name: te
    data_files: nexus_te.jsonl
  - config_name: ar
    data_files: nexus_ar.jsonl
  - config_name: ko
    data_files: nexus_ko.jsonl
  - config_name: vi
    data_files: nexus_vi.jsonl
  - config_name: cs
    data_files: nexus_cs.jsonl
  - config_name: hu
    data_files: nexus_hu.jsonl
  - config_name: sr
    data_files: nexus_sr.jsonl

Dataset Sources

Dataset Description

BenchMAX_Multiple_Functions is a dataset of BenchMAX, sourcing from Nexus.

We translate the standardized queries from English to 16 non-English languages by google Translate. Some special function arguments remain English since the APIs are in English. All samples are post-edited by native speakers.

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}
}