paws-x / README.md
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---
language:
- sw
- ur
license: cc-by-sa-4.0
task_categories:
- text-classification
tags:
- paraphrase
- multilingual
- swahili
- urdu
- paws-x
dataset_info:
- config_name: sw
features:
- name: id
dtype: int64
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_examples: 2000
- config_name: ur
features:
- name: id
dtype: int64
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_examples: 2000
configs:
- config_name: sw
data_dir: data/sw
default: true
- config_name: ur
data_dir: data/ur
---
# PAWS-X – Swahili & Urdu
Machine-translated **Swahili** and **Urdu** subsets of the PAWS-X (Paraphrase Adversaries from Word Scrambling – Cross-lingual) benchmark. This dataset was translated using Google Machine Translate.
## Dataset Description
PAWS-X is a multilingual paraphrase identification benchmark. Given two sentences, the task is to determine whether they are paraphrases of each other (label 1) or not (label 0). This repository contains Swahili (`sw`) and Urdu (`ur`) translations.
### Splits
| Config | Split | Language | # Examples |
|--------|-------|----------|------------|
| sw | test | Swahili | 2,000 |
| ur | test | Urdu | 2,000 |
### Data Format (CSV)
Columns: `id`, `sentence1`, `sentence2`, `label`
## Usage
```python
from datasets import load_dataset
# Load Swahili
ds_sw = load_dataset("Owos/paws-x", "sw")
# Load Urdu
ds_ur = load_dataset("Owos/paws-x", "ur")
```
## Source
Derived from [hgissbkh/paws-x](https://huggingface.co/datasets/hgissbkh/paws-x).
## Citation
```bibtex
@article{owodunni2025continually,
title={Continually adding new languages to multilingual language models},
author={Owodunni, Abraham Toluwase and Kumar, Sachin},
journal={arXiv preprint arXiv:2509.11414},
year={2025}
}
```