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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=windows-1252">
<title>OasisSimp: An Open-source Asian–English Sentence Simplification Dataset</title>
<meta name="title" content="OasisSimp: Asian-English Sentence Simplification Dataset">
<meta name="description" content="OasisSimp is an open-source multilingual dataset for sentence simplification covering English, Sinhala, Tamil, Pashto, and Thai. Presented at LREC 2026.">
<meta name="keywords" content="OasisSimp, NLP, Sentence Simplification, Text Simplification, Natural Language Processing, Dataset, LREC 2026, Low-resource languages, NLProc, English, Sinhala, Tamil, Thai, Pashto">
<meta name="citation_title" content="OasisSimp: An Open-source Asian–English Sentence Simplification Dataset">
<meta name="citation_publication_date" content="2026/05/01">
<meta name="citation_conference_title" content="Proceedings of the Fifteenth biennial Language Resources and Evaluation Conference (LREC 2026)">
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<div class="content content-title">
<h1>
OasisSimp: An <ins>O</ins>pen-source <ins>Asi</ins>an-English <ins>S</ins>entence <ins>Simp</ins>lification Dataset
</h1>
<p id="authors">
<a href="https://www.linkedin.com/in/hannah-jy-liu/" target="_blank">Hannah Liu</a><sup>1*</sup>
<a href="https://www.linkedin.com/in/murphytian/" target="_blank">Muxin Tian</a><sup>1*</sup>
<a href="https://sites.google.com/view/iqra-ali/" target="_blank">Iqra Ali</a><sup>2</sup>
<a href="https://www.linkedin.com/in/haonan-gao/" target="_blank">Haonan Gao</a><sup>3</sup>
<a href="https://www.linkedin.com/in/qiaoyiwen-vivian-wu/" target="_blank">Qiaoyiwen Wu</a><sup>1</sup><br>
<a href="" target="_blank">Blair Yang</a><sup>4</sup>
<a href="https://rtuthaya.staff.uom.lk/" target="_blank">Uthayasanker Thayasivam</a><sup>5</sup>
<a href="https://www.linkedin.com/in/drannielee/" target="_blank">En-Shiun Annie Lee</a><sup>1</sup>
<a href="https://www.linkedin.com/in/pakawat-nakwijit-662086102/" target="_blank">Pakawat Nakwijit</a><sup>2</sup> <br>
<a href="https://www.massey.ac.nz/massey/expertise/college-staff-lists/college-of-sciences/all-staff/all-staff_home.cfm?stref=319722" target="_blank">Surangika Ranathunga</a><sup>7</sup>
<a href="http://shekharravi.github.io/" target="_blank">Ravi Shekhar</a><sup>8</sup>
<br><br>
<font size="3">
<sup>1</sup> University of Toronto
<sup>2</sup> Queen Mary University of London
<sup>3</sup> Yale University
<sup>4</sup> CoolWei AI Lab <br>
<sup>5</sup> University of Moratuwa
<sup>6</sup> Ontario Tech University
<sup>7</sup> Massey University
<sup>8</sup> University of Essex
</font>
<br>
<font size="3">
* Equal Contribution
</font>
<br>
<p style="font-size:20px; text-align:center;">
Long, Oral at
<a href="https://lrec2026.info/" target="_blank">LREC 2026</a> (<a href="./content/OasisSimp.pdf" target="_blank">paper</a>, <a href="./OasisSimp.zip" target="_blank">dataset</a>)
</p>
</div>
<div class="content">
<h2>OasisSimp Dataset Overview</h2>
<br>
<img width="800px" src="./img/OasisSimp.png">
</div>
<div class="content clearfix">
<!-- Clickable Image on the right -->
<div style="float:right; width: 200px; text-align:center; margin: 50px 10px 10px 10px;">
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<img width="160px" style="margin: 22px 0;" src="./img/paper.png" alt="Download Paper">
</div>
</a>
</div>
<!-- Text content -->
<h2 style="margin-top:0;">Abstract</h2>
<p align="justify" style="line-height:1.6;">
Sentence simplification aims to make complex text more accessible by reducing linguistic complexity
while preserving the original meaning. However, progress in this area remains limited for mid-resource
and low-resource languages due to the scarcity of high-quality data.
To address this gap, we introduce the <em>OasisSimp</em> dataset, a multilingual dataset for
sentence-level simplification covering five languages: English, Sinhala, Tamil, Pashto, and Thai.
Among these, no prior sentence simplification datasets exist for Thai, Pashto, and Tamil, while
limited data is available for Sinhala.
Each language simplification dataset was created by trained annotators who followed detailed
guidelines to simplify sentences while maintaining meaning, fluency, and grammatical correctness.
We evaluate eight open-weight multilingual Large Language Models (LLMs) on the OasisSimp dataset
and observe substantial performance disparities between high-resource and low-resource languages,
highlighting the simplification challenges in multilingual settings.
The OasisSimp dataset thus provides both a valuable multilingual resource and a challenging benchmark,
revealing the limitations of current LLM-based simplification methods and paving the way for future
research in low-resource sentence simplification. The dataset is available at
<a href="https://OasisSimpDataset.github.io/">https://OasisSimpDataset.github.io/</a>.
</p>
</div>
<div class="content" id="data">
<h2>Dataset</h2>
<p>We are making the version of OasisSimp dataset, used in LREC'26 work, available for others to use :</p>
<ul style="list-style: disc">
<li>OasisSimp Dataset : <a href="./OasisSimp.zip" download target="_blank">here</a></li>
<li> Each language has its own folder containing two JSONL files corresponding to <b>valid</b> and <b>test</b> set.</li>
</ul>
The dataset schema is as follows
<br>
<pre style="background:#f5f5f5;padding:15px;border-radius:6px;white-space:pre-wrap;">
{
"id": "Unique identifier for the segment",
"complex": "Complex sentence",
"simple": "List of simplified versions of the complex sentence",
}
</pre>
<br><br> For any clarification contact
<a href="mailto:osasissimpdataset@gmail.com"> OasisSimp Team</a> and <a href="mailto:r.shekhar@essex.ac.uk">Ravi</a>.
</div>
<div class="content" id="citation">
<h2>Citation</h2>
<p align="justify">If you used the OasisSimp datasets in your work, please consider citing our LREC'26 <a href="./content/OasisSimp.pdf" target="_blank">paper</a> (download <a href="./content/OasisSimp.bib" target="_blank">bibtex</a>)</p>
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title = {{OasisSimp: An Open-source Asian-English Sentence Simplification Dataset}},
author = "Liu, Hannah and Tian, Muxin and Ali, Iqra and Gao, Haonan and We, Qiaoyiwen and Yang, Blair and Thayasivam, Uthayasanker and Lee, En-Shiun Annie and Nakwijit, Pakawat and Ranathunga, Surangika and Shekhar, Ravi",
booktitle = "Proceedings of the Fifteenth biennial Language Resources and Evaluation Conference (LREC 2026)",
month = "May",
year = "2026"
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<!-- <div class="content" >
<h2>Acknowledgement</h2> -->
<div class="content" style="text-align: justify; line-height: 1.6; max-width: 800px; margin: auto;" id="Acknowledgement">
<h2>Acknowledgement</h2>
<p>
This work was partially supported by the Natural Sciences and Engineering Research Council of Canada
(NSERC) Discovery Grant RGPIN-2024-06887, the NSERC Discovery Launch Supplement DGECR-2024-00008,
and the Digital Research Alliance of Canada (formerly Compute Canada) Grant RRG no. 5397 on
"Multilingual multicultural NLP and LLMs". We also thank CoolWei AI Lab for providing GPU resources
that enabled this research.
This work was partially supported by the ELOQUENCE project (grant number 101070558) funded by the
UKRI and the European Union. Views and opinions expressed are, however, those of the author(s) only
and do not necessarily reflect those of the UKRI, European Union or European Commission-EU. Neither the
European Union nor the granting authority can be held responsible for them.
</p>
</div>
<footer class="footer">
<p>Contact:
<a href="mailto:r.shekhar@essex.ac.uk">Ravi Shekhar</a>,
<a href="mailto:osasissimpdataset@gmail.com">OasisSimp</a>
</p>
<p> OasisSimp: An Open-source Asian-English Sentence Simplification Dataset</p>
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