LayRA
Collection
All datasets used for evaluation in our paper titled: Continually Adding New Languages to Multilingual Language
Models • 4 items • Updated
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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.
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.
| Config | Split | Language | # Examples |
|---|---|---|---|
| sw | test | Swahili | 2,000 |
| ur | test | Urdu | 2,000 |
Columns: id, sentence1, sentence2, label
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")
Derived from hgissbkh/paws-x.
@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}
}