UTokyo-Yokoya-Lab/robust04-instructions-mteb-CSR-L
robust04-instructions-codeswitching-mteb Code-switching version of jhu-clsp/robust04-instructions-mteb, with queries and instructions rewritten in Chinese-English and Japanese-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… See the full description on the dataset page: https://huggingface.co/datasets/UTokyo-Yokoya-Lab/robust04-instructions-mteb-CSR-L.
robust04-instructions-codeswitching-mteb
Code-switching version of jhu-clsp/robust04-instructions-mteb, with queries and instructions rewritten in Chinese-English and Japanese-English code-switching styles.
Dataset Structure
The dataset contains the following configurations:
From original dataset (unchanged):
corpus: Original corpus documentsdefault: Original relevance judgmentsqrel_diff: Changes in relevance judgmentstop_ranked: Top ranked documents for each query
Code-switching additions:
queries_zh_en: Chinese-English code-switching queriesqueries_ja_en: Japanese-English code-switching queriesinstructions_zh_en: Chinese-English code-switching instructionsinstructions_ja_en: Japanese-English code-switching instructions
Usage
from datasets import load_dataset
# Load code-switching queries
queries_zh = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-codeswitching-mteb", "queries_zh_en")
queries_ja = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-codeswitching-mteb", "queries_ja_en")
# Load code-switching instructions
instructions_zh = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-codeswitching-mteb", "instructions_zh_en")
instructions_ja = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-codeswitching-mteb", "instructions_ja_en")
# Load original configs
corpus = load_dataset("UTokyo-Yokoya-Lab/robust04-instructions-codeswitching-mteb", "corpus")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},
}