UTokyo-Yokoya-Lab/arguana_CS-MTEB

ArguAna CS-MTEB

An MTEB dataset

Massive Text Embedding Benchmark

Code-switching version of mteb/arguana, with queries rewritten in Chinese-English, Japanese-English, German-English, Spanish-English, Korean-English, French-English, Italian-English, Portuguese-English, Dutch-English code-switching styles.

Dataset Structure

The dataset contains the following configurations:

From original dataset (unchanged):

• corpus: Original corpus documents
• default: Original relevance judgments (qrels)

Code-switching queries:

• queries_zh_en: Chinese-English code-switching queries
• queries_ja_en: Japanese-English code-switching queries
• queries_de_en: German-English code-switching queries
• queries_es_en: Spanish-English code-switching queries
• queries_ko_en: Korean-English code-switching queries
• queries_fr_en: French-English code-switching queries
• queries_it_en: Italian-English code-switching queries
• queries_pt_en: Portuguese-English code-switching queries
• queries_nl_en: Dutch-English code-switching queries

Usage

from datasets import load_dataset

# Load code-switching queries
queries_zh = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_zh_en")
queries_ja = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_ja_en")
queries_de = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_de_en")
queries_es = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_es_en")
queries_ko = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_ko_en")
queries_fr = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_fr_en")
queries_it = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_it_en")
queries_pt = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_pt_en")
queries_nl = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "queries_nl_en")

# Load original configs
corpus = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "corpus")
qrels = load_dataset("UTokyo-Yokoya-Lab/arguana_CS-MTEB", "default")

Attribution

Based on mteb/arguana.

Citation

If you use this dataset, please also cite the original:

@inproceedings{wachsmuth2018retrieval,
  author = {Henning Wachsmuth and Shahbaz Syed and Benno Stein},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  doi = {10.18653/v1/P18-1023},
  pages = {239--249},
  title = {Retrieval of the Best Counterargument without Prior Topic Knowledge},
  year = {2018},
}

@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and others},
  journal={arXiv preprint arXiv:2502.13595},
  year={2025},
  url={https://arxiv.org/abs/2502.13595},
  doi={10.48550/arXiv.2502.13595},
}

@article{muennighoff2022mteb,
  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Lo\"{\i}c and Reimers, Nils},
  title = {MTEB: Massive Text Embedding Benchmark},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022},
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}