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Veton Matoshi

2 accepted papers

2024

MultiLegalPile: A 689GB Multilingual Legal Corpus

ACL 2024long

Large, high-quality datasets are crucial for training Large Language Models (LLMs). However, so far, few datasets are available for specialized critical domains such as law and the available ones are often small and only in English. To fill this gap, we curate and release MultiLegalPile, a 689GB cor…

2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain

EMNLP 2023long findings

Lately, propelled by phenomenal advances around the transformer architecture, the legal NLP field has enjoyed spectacular growth. To measure progress, well-curated and challenging benchmarks are crucial. Previous efforts have produced numerous benchmarks for general NLP models, typically based on ne…

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