TurkishLegalBench: A Comprehensive Multi-Task Benchmark Suite for Turkish Legal NLP

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Authors: Merve Erkan, Ceylan Yozgatlıgil
Cited by: 0

Abstract

TurkishLegalBench is a large-scale, multi-task benchmark suite specifically designed for Natural Language Processing (NLP) in the Turkish legal domain. The dataset consists of 38,009 authentic legal documents curated from Turkish high courts. It covers seven distinct legal tasks categorized under three pillars: Classification (TurkVerdict, TurkVenue, TurkCanon), Extraction (TurkChronos, TurkCite), and Reasoning (TurkCoherence, TurkAudit). This resource aims to bridge the gap in low-resource legal NLP for Turkish and provides a standardized evaluation framework for researchers.

Fields of Study & Subjects

Artificial Intelligence in Law Topic Modeling Natural Language Processing Techniques

Publication details

Journal / source
OpenMETU (Middle East Technical University)
Publication date
9 February 2026
Language
TR