--- 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} } ```