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Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy

2025/10/05 by Nuwan I. Senaratna, Senaratna, Nuwan I.
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques

paper · pdf · doi:10.48550/arxiv.2510.04124

openalex publication_date 2025/10/05 · openalex created_date 2025/10/17 · openalex updated_date 2026/07/28

Abstract

We present a collection of open, machine-readable document datasets covering parliamentary proceedings, legal judgments, government publications, news, and tourism statistics from Sri Lanka. The collection currently comprises of 278,621 documents (80.7 GB) across 26 datasets in Sinhala, Tamil, and English. The datasets are updated daily and mirrored on GitHub and Hugging Face. These resources aim to support research in computational linguistics, legal analytics, socio-political studies, and multilingual natural language processing. We describe the data sources, collection pipeline, formats, and potential use cases, while discussing licensing and ethical considerations. This manuscript is at version v2026-07-02-0940.

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