datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legalbench
Dataset Card for Dataset Name
Homepage: https://hazyresearch.stanford.edu/legalbench/
Repository: https://github.com/HazyResearch/legalbench/
Paper: https://arxiv.org/abs/2308.11462
Dataset Description
Dataset Summary
The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/nguha/legalbench.legalbench-staging
Dataset Card for Dataset Name
Homepage: https://hazyresearch.stanford.edu/legalbench/
Repository: https://github.com/HazyResearch/legalbench/
Paper: https://arxiv.org/abs/2308.11462
Dataset Description
Dataset Summary
The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/nguha/legalbench-staging.tw-legal-benchmark-v1
Taiwan Legal Benchmark v1
A multiple-choice benchmark for evaluating large language models on Taiwan law in Traditional Chinese (繁體中文). It covers six legal domains with 209 questions drawn from Taiwan bar exam and certification-style questions.
Overview
Property
Value
Language
Traditional Chinese (zh-TW)
Questions
209
Format
4-choice multiple choice (A / B / C / D)
Domain
Taiwan law
License
Apache 2.0
Legal Domains Covered… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-legal-benchmark-v1.singapore-legal-ai-benchmark
Singapore Legal AI Benchmark
Public research release of 102 Singapore legal research questions, model
responses from 6 systems, and overlapping grades on five dimensions.
Headline metrics are overlapping binary flags, not a ranking and not a
partition of 100%.
Interactive explorer
Open the explorer →
— comparison table, category heatmap, per-question comparison, and every answer
with its sources and grades.
(Space page)
Overall (n = 612)… See the full description on the dataset page: https://huggingface.co/datasets/JonathanSu/singapore-legal-ai-benchmark.legal-scenarios-SCOTUS-2024-decisions
Purpose and scope
This dataset evaluates an LLM's reasoning ability in a legal context. Each question presents a realistic scenario involving competing legal principals,
and asks the LLM to present a correct legal resolution with sufficient justification based on precedent. The dataset was created using slip opinions of
the US Supreme Court from the 2024 term, taken from the Supreme Court website.
Dataset Creation Method
The benchmark was created using RELAI’s data… See the full description on the dataset page: https://huggingface.co/datasets/relai-ai/legal-scenarios-SCOTUS-2024-decisions.tw-legal-benchmark-v2
Taiwan Legal Benchmark v2
A multiple-choice benchmark for evaluating LLMs on Taiwan law in Traditional Chinese,
built from 15 years (2012–2026) of national examinations published by the
Ministry of Examination (考選部).
Supersedes tw-legal-benchmark-v1
(209 questions) with 17,002 deduplicated questions across 15 legal domains.
Overview
Property
Value
Questions
17,002 (deduplicated)
Years
2012–2026
Source papers
1,040 official exam papers
Format… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-legal-benchmark-v2.synthetic-legal
⚖️ Synthetic Legal (Query, Response) Dataset
📚 140,000 synthetic (legal query, legal response) pairs across 13 legal domains, built to resemble the structure of real-world fact patterns and citation-backed answers.
⚠️ Disclaimer: All text is synthetically generated and IS NOT LEGALLY ACCURATE. Citations are real but assigned at random, and the verified_solution and verification_method columns are template labels, not evidence of review. This dataset is not legal advice.… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/synthetic-legal.turkish-legal-rag
Turkish Legal RAG Corpus — Türk Hukuku için Açık RAG Datasetı
Tek cümle: 25 önemli Türk kanununun (mevzuat.gov.tr kaynaklı, madde bazlı temiz chunk'lar) + 290 manuel doğrulanmış soru-cevap altın benchmark'ının olduğu açık kaynak Türkçe hukuk RAG datasetı.
🇹🇷 Türkçe Özet — Bu dataset, Türkçe hukuk uygulamaları için sıfırdan üretilmiş açık ve denetlenebilir bir RAG corpus'udur. mevzuat.gov.tr üzerinden alınan 25 ana kanunun madde madde temizlenmiş, chunk'lanmış sürümünü (6.350… See the full description on the dataset page: https://huggingface.co/datasets/mtntasci/turkish-legal-rag.multilevel-legal-reasoning
Legal Reasoning Dataset with Multilevel Human and Model-Annotated Explanations
Prepared by Mst Rafia Islam, Umong Sain, Azmine Toushik Wasi
Prepared as a part of Reasoning Datasets Competition by Bespoke Labs, Hugging Face, and Together.ai.
🧭 Purpose and Scope
The Legal Reasoning Dataset aims to support the evaluation and training of legal reasoning systems, particularly in multilingual or jurisdiction-agnostic contexts. It focuses on international acts and treaties… See the full description on the dataset page: https://huggingface.co/datasets/ciol-research/multilevel-legal-reasoning.legalbench
Dataset Card for Dataset Name
Homepage: https://hazyresearch.stanford.edu/legalbench/
Repository: https://github.com/HazyResearch/legalbench/
Paper: https://arxiv.org/abs/2308.11462
Dataset Description
Dataset Summary
The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/Advocate512/legalbench.tw-legal-benchmark-v2
Taiwan Legal Benchmark v2
A multiple-choice benchmark for evaluating LLMs on Taiwan law in Traditional Chinese,
built from 15 years (2012–2026) of national examinations published by the
Ministry of Examination (考選部).
Supersedes tw-legal-benchmark-v1
(209 questions) with 17,002 deduplicated questions across 15 legal domains.
Overview
Property
Value
Questions
17,002 (deduplicated)
Years
2012–2026
Source papers
1,040 official exam papers
Format… See the full description on the dataset page: https://huggingface.co/datasets/Jel1f1sh/tw-legal-benchmark-v2.legalup-laws
Kazakhstan Legal Acts Dataset (LegalUp)
Dataset Summary
The LegalUp dataset contains structured metadata for legislative documents of the Republic of Kazakhstan.
The current release includes 392,084 legislative document records extracted from a PostgreSQL database.
The dataset is designed for:
Legal Retrieval-Augmented Generation (Legal RAG)
Information Retrieval
Legal Search
Question Answering
Semantic Search
Legal NLP
Benchmark Construction
Academic Research… See the full description on the dataset page: https://huggingface.co/datasets/Arailym-tleubayeva/legalup-laws.justicio_evaluacion_ideonidad_preguntas_legalesEste dataset nos permitirá evaluar la idoneidad de las preguntas generadas para su uso dentro de la plataforma Justicio, un archivero que permite consultar desde una interfaz chat las distintas legislaciones, tanto a nivel nacional derivadas del Boletín Oficial del Estado, así como de las derivadas de las distintas Comunidades Autónomas.
Internamente, Justicio utiliza un esquema de tipo RAG (Retrieval-Augmented Generation) en el que se localizan aquellos fragmentos almacenados más similares a… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp/justicio_evaluacion_ideonidad_preguntas_legales.mmlu-legal-dataset-mcqIndian-Legal-Retrieval-Generation
Indian-Legal-Retrieval-Generation
An expert-verified evaluation set for retrieval-augmented question answering over Indian
court / legal documents. This is the small benchmark used in CourtNav.
Paper: CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms — Sai Khadloya, Kush Juvekar, Arghya Bhattacharya, Utkarsh Saxena.
Status: work in progress — contents and structure may still evolve.
Overview
21 lawyer-verified question/answer… See the full description on the dataset page: https://huggingface.co/datasets/adalat-ai/Indian-Legal-Retrieval-Generation.Legal_advice_czech
Legal Advice Dataset
Dataset Description
This dataset contains scraped legal questions (but also a simply informational content without any question present) and answers from Bezplatná Právní Poradna. The data consists of legal inquiries submitted by users and expert responses provided on the website. It is structured for ease of use in natural language processing (NLP) tasks related to legal text classification, question-answering models, and text summarization. However… See the full description on the dataset page: https://huggingface.co/datasets/roslein/Legal_advice_czech.albanian_legal_questions_answersLegal-FAQ
Legal FAQ Dataset
Dataset Description
The Legal FAQ Dataset is a collection of frequently asked legal questions along with their respective answers. This dataset is particularly useful for building question-answering systems, legal chatbots, or other applications in the domain of law and justice.
Dataset Details
Dataset ID: gurumurthy3/Legal-FAQ
Total Entries: 2091
Columns:
Question: A legal-related question.
Answer: The corresponding legal response.… See the full description on the dataset page: https://huggingface.co/datasets/gurumurthy3/Legal-FAQ.Sindhi_Legal_1
Dataset Description
The Sindhi Legal Dataset is a parallel text dataset designed for legal NLP tasks in low-resource Sindhi language settings. It contains Pakistani legal QnA in Sindhi (Arabic script).
The dataset is intended for applications such as legal text generation, machine translation, retrieval-augmented generation (RAG), and legal question answering systems.
Each record consists of an input legal text segment and its corresponding output legal text segment.… See the full description on the dataset page: https://huggingface.co/datasets/DanishMahdi/Sindhi_Legal_1.