UTokyo-Yokoya-Lab/AskUbuntuDupQuestions_CS-MTEB

---
configs:
- config_name: corpus
data_files:
- split: test
path: corpus/test-*
- config_name: default
data_files:
- path: data/test-*
split: test
- config_name: queries_de_en
data_files:
- path: queries_de_en/test-*
split: test
- config_name: queries_es_en
data_files:
- path: queries_es_en/test-*
split: test
- config_name: queries_fr_en
data_files:
- path: queries_fr_en/test-*
split: test
- config_name: queries_it_en
data_files:
- path: queries_it_en/test-*
split: test
- config_name: queries_ja_en
data_files:
- path: queries_ja_en/test-*
split: test
- config_name: queries_ko_en
data_files:
- path: queries_ko_en/test-*
split: test
- config_name: queries_nl_en
data_files:
- path: queries_nl_en/test-*
split: test
- config_name: queries_pt_en
data_files:
- path: queries_pt_en/test-*
split: test
- config_name: queries_zh_en
data_files:
- path: queries_zh_en/test-*
split: test
- config_name: top_ranked
data_files:
- path: top_ranked/test-*
split: test
dataset_info:
- config_name: corpus
features:
- name: _id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: test
num_bytes: 667643
num_examples: 7220
download_size: 269735
dataset_size: 667643
- config_name: default
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: float64
splits:
- name: test
num_examples: 7220
- config_name: queries_de_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_es_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_fr_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_it_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_ja_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_ko_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_nl_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_pt_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: queries_zh_en
features:
- name: _id
dtype: string
- name: text
dtype: string
splits:
- name: test
num_examples: 361
- config_name: top_ranked
features:
- name: query-id
dtype: string
- name: corpus-ids
list: string
splits:
- name: test
num_examples: 361
language:
- en
- zh
- ja
- de
- es
- ko
- fr
- it
- pt
- nl
multilinguality: multilingual
task_categories:
- text-retrieval
task_ids: []
tags:
- mteb
- text
- code-switching
- reranking
---

<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;">AskUbuntuDupQuestions CS-MTEB</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/AskUbuntuDupQuestions](https://huggingface.co/datasets/mteb/AskUbuntuDupQuestions), 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)
- `top_ranked`: Top ranked documents for each query

**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

```python
from datasets import load_dataset

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

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

## Attribution
Based on [mteb/AskUbuntuDupQuestions](https://huggingface.co/datasets/mteb/AskUbuntuDupQuestions).

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

```bibtex
@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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