Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy
Fuente:
arXiv
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910222911537152 |
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| author | Senaratna, Nuwan I. |
| author_facet | Senaratna, Nuwan I. |
| contents | 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 269,194 documents (79.5 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 v2026-05-15-0811. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_04124 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy Senaratna, Nuwan I. Computation and Language 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 269,194 documents (79.5 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 v2026-05-15-0811. |
| title | Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2510.04124 |