UTokyo-Yokoya-Lab/trec-covid-CSR-L

---
language:
- eng
- zho
- jpn
multilinguality: multilingual
task_categories:
- text-retrieval
task_ids: []
config_names:
- corpus
- queries_zh_en
- queries_ja_en
tags:
- mteb
- text
- code-switching
dataset_info:
- config_name: default
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: float64
splits:
- name: test
num_bytes: 1710499
num_examples: 66336
- config_name: corpus
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 195185777
num_examples: 171332
- config_name: queries_zh_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_examples: 50
- config_name: queries_ja_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: queries
num_examples: 50
configs:
- config_name: default
data_files:
- split: test
path: qrels/test.jsonl
- config_name: corpus
data_files:
- split: corpus
path: corpus.jsonl
- config_name: queries_zh_en
data_files:
- split: queries
path: queries_zh_en.jsonl
- config_name: queries_ja_en
data_files:
- split: queries
path: queries_ja_en.jsonl
---

<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 style="font-size: 3.5rem; color: #1a1a1a; margin: 0 0 20px 0; letter-spacing: 2px; font-weight: 700;">TRECCOVID-CodeSwitching</h1>
<div style="font-size: 1.5rem; color: #4a4a4a; margin-bottom: 5px; font-weight: 300;">An <a href="https://github.com/embeddings-benchmark/mteb" style="color: #2c5282; font-weight: 600; text-decoration: none;">MTEB</a> dataset</div>
<div style="font-size: 0.9rem; color: #2c5282; margin-top: 10px;">Massive Text Embedding Benchmark</div>
</div>

Code-switching version of [mteb/trec-covid](https://huggingface.co/datasets/mteb/trec-covid), with queries 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 (qrels)

**Code-switching additions:**
- `queries_zh_en`: Chinese-English code-switching queries
- `queries_ja_en`: Japanese-English code-switching queries

## Usage

```python
from datasets import load_dataset

# Load code-switching queries
queries_zh = load_dataset("UTokyo-Yokoya-Lab/trec-covid-codeswitching", "queries_zh_en")
queries_ja = load_dataset("UTokyo-Yokoya-Lab/trec-covid-codeswitching", "queries_ja_en")

# Load original configs
corpus = load_dataset("UTokyo-Yokoya-Lab/trec-covid-codeswitching", "corpus")
qrels = load_dataset("UTokyo-Yokoya-Lab/trec-covid-codeswitching", "default")
```

## Attribution
Based on [mteb/trec-covid](https://huggingface.co/datasets/mteb/trec-covid) (MIT License).

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

```bibtex
@misc{roberts2021searching,
archiveprefix = {arXiv},
author = {Kirk Roberts and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and Kyle Lo and Ian Soboroff and Ellen Voorhees and Lucy Lu Wang and William R Hersh},
eprint = {2104.09632},
primaryclass = {cs.IR},
title = {Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID},
year = {2021},
}

@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},
}
```