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End of preview. Expand in Data Studio

Robust04 Instructions CS-MTEB

An MTEB dataset
Massive Text Embedding Benchmark

Code-switching version of jhu-clsp/robust04-instructions-mteb, with queries and instructions 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
  • qrel_diff: Changes in relevance judgments
  • top_ranked: Top ranked documents for each query

Code-switching queries and instructions:

  • queries_zh_en / instructions_zh_en: Chinese-English
  • queries_ja_en / instructions_ja_en: Japanese-English
  • queries_de_en / instructions_de_en: German-English
  • queries_es_en / instructions_es_en: Spanish-English
  • queries_ko_en / instructions_ko_en: Korean-English
  • queries_fr_en / instructions_fr_en: French-English
  • queries_it_en / instructions_it_en: Italian-English
  • queries_pt_en / instructions_pt_en: Portuguese-English
  • queries_nl_en / instructions_nl_en: Dutch-English

Usage

from datasets import load_dataset

# Load code-switching queries and instructions
queries_zh = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_zh_en")
instructions_zh = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_zh_en")
queries_ja = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_ja_en")
instructions_ja = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_ja_en")
queries_de = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_de_en")
instructions_de = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_de_en")
queries_es = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_es_en")
instructions_es = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_es_en")
queries_ko = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_ko_en")
instructions_ko = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_ko_en")
queries_fr = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_fr_en")
instructions_fr = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_fr_en")
queries_it = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_it_en")
instructions_it = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_it_en")
queries_pt = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_pt_en")
instructions_pt = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_pt_en")
queries_nl = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "queries_nl_en")
instructions_nl = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "instructions_nl_en")

# Load original configs
corpus = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "corpus")
qrels = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-mteb_CS-MTEB", "default")

Attribution

Based on jhu-clsp/robust04-instructions-mteb (MIT License).

Citation

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

@misc{weller2024followir,
  archiveprefix = {arXiv},
  author = {Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},
  eprint = {2403.15246},
  primaryclass = {cs.IR},
  title = {FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},
  year = {2024},
}

@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},
}
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