datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legal-llm-benchmark
Legal LLM Benchmark Dataset
Safety-Utility Trade-offs in Legal AI: An LLM Evaluation Across 12 Models
Quick Start
from datasets import load_dataset
# Core datasets
questions = load_dataset("marvintong/legal-llm-benchmark", "questions")
phase1_evals = load_dataset("marvintong/legal-llm-benchmark", "phase1_evaluations")
phase3_evals = load_dataset("marvintong/legal-llm-benchmark", "phase3_evaluations")
# Additional helpful datasets
contracts =… See the full description on the dataset page: https://huggingface.co/datasets/marvintong/legal-llm-benchmark.legal-advice-reddit
Dataset Card for Legal Advice Reddit Dataset
Dataset Summary
New dataset introduced in Parameter-Efficient Legal Domain Adaptation (Li et al., NLLP 2022) from the Legal Advice Reddit community (known as "/r/legaldvice"), sourcing the Reddit posts from the Pushshift
Reddit dataset. The dataset maps the text and title of each legal question posted into one of eleven classes, based on the original Reddit
post's "flair" (i.e., tag). Questions are typically informal and use… See the full description on the dataset page: https://huggingface.co/datasets/jonathanli/legal-advice-reddit.syntheticpbgdpl-vn-legal-qna
pbgdpl.gov.vn — Vietnamese Legal Q&A · Hỏi đáp pháp luật
🇻🇳 Tóm tắt. Bản thu thập đầy đủ chuyên mục Hỏi đáp pháp luật
của Cổng thông tin điện tử Phổ biến giáo dục pháp luật
— cổng giáo dục pháp luật công khai do Bộ Tư pháp vận hành. Mỗi
dòng là một cặp câu hỏi của công dân (Q) và trả lời chính
thức (A), kèm chú thích nguồn, lĩnh vực pháp lý, ngày gửi, và đường
dẫn về trang gốc.
🇬🇧 Summary. A complete crawl of the public Hỏi đáp pháp luật
("Legal Q&A") section of
pbgdpl.gov.vn —… See the full description on the dataset page: https://huggingface.co/datasets/tmquan/pbgdpl-vn-legal-qna.bangladesh-legal-qa-dataset
Bangladesh Legal QA Dataset: Bangla-English Law and Fine-Tuning
The Bangladesh Legal QA Dataset is a bilingual Bangla-English dataset for
Bangladesh law question answering, legal NLP, LLM fine-tuning, instruction
tuning, and retrieval-augmented generation (RAG). It provides 2,165
context-grounded legal QA records, direct-answer and IRAC chat-format training
data, and structured statutory text from six Bangladesh Acts and three
schedules.
This is the 2,165-record paper-aligned… See the full description on the dataset page: https://huggingface.co/datasets/momahadi/bangladesh-legal-qa-dataset.TW-LegalBench
TW-LegalBench
Measuring Taiwanese Legal Understanding in Large Language Models
· Paper (arXiv:2606.18699)
· Code (GitHub)
TW-LegalBench is a benchmark for evaluating LLMs on legal reasoning in the
Taiwanese (civil-law, Traditional Chinese) jurisdiction. It comprises three
tasks built from Taiwan's openly published official corpora.
Config
Task
Split(s)
Size
mcq
Multiple-Choice Questions (Traditional Chinese)
test
16,493
mcq_zh_cn
MCQs, Simplified Chinese translation… See the full description on the dataset page: https://huggingface.co/datasets/feiyuehchen/TW-LegalBench.multi-legal-bench
Multi-Legal-Bench
Paper: Multi-Legal-Bench: When the Answer Is in the Input. Label Leakage in Legal Benchmarks Built from Court Registries (v3)
Identical legal tasks evaluated on native court decisions from national registries in France, the Netherlands, Poland, the Czech Republic and Lithuania, with Ukrainian cells in the companion UA-Legal-Bench (not included here). Labels come from registry metadata. The v3 paper is an audit of what those labels let a benchmark measure: in… See the full description on the dataset page: https://huggingface.co/datasets/overthelex/multi-legal-bench.mining-legal-arguments-us-corporate-case-law
Mining Legal Arguments in U.S. Corporate Case Law
This dataset contains span-level functional labels and directed support relations for 42 U.S. federal tax opinions concerning corporate reorganizations under I.R.C. Section 368. The opinions range in citation year from 1935 to 1987. Two law students annotated the cases, and a law professor adjudicated the final case-level representations. Ten cases also include the two independent annotations used for inter-annotator agreement… See the full description on the dataset page: https://huggingface.co/datasets/lbrenap1/mining-legal-arguments-us-corporate-case-law.legal-cfmturkish-legal-statutory-hallucination-benchmark
Citation
If you use this dataset, please cite the accompanying paper:
@inproceedings{erdoganyilmaz2026statutoryhallucinations,
title = {Measuring Statutory Citation Hallucinations of LLMs in Turkish Law: A Multi-Agent Based Novel Benchmark Dataset and Multi-Dimensional Evaluation Framework},
author = {Cihan Erdoğanyılmaz and Ali Yasir Naç and Gamze Çoskuner},
booktitle = {2026 34th Signal Processing and Communications Applications Conference (SIU)},
year =… See the full description on the dataset page: https://huggingface.co/datasets/LawChatAI/turkish-legal-statutory-hallucination-benchmark.Income-Tax-Act-2025-Machine-Readable-Legal-Text
Income Tax Act 2025 (India) - Machine-Readable Legal Text Dataset
Overview
This dataset contains the complete text and structured information from India's Income-Tax Act, 2025 (effective from April 1, 2026). It provides comprehensive coverage of all chapters and sections of the act, formatted as JSON for easy parsing and analysis by AI/ML systems.
Dataset Description
The Income Tax Act, 2025 is the primary legislation governing income taxation in India. This… See the full description on the dataset page: https://huggingface.co/datasets/ThanniruVenkata/Income-Tax-Act-2025-Machine-Readable-Legal-Text.privamesh-legal-synthetic
PrivaMesh Legal Synthetic
Description
PrivaMesh Legal Synthetic is a multilingual dataset of 100,000 fully synthetic legal,
privacy, security and AI-governance records. It is designed for training and evaluating
sallani/PrivaMesh on PII detection,
classification, anonymization, pseudonymization, compliance analysis, sensitive-data
detection, legal-entity extraction and privacy-risk assessment.
No source document or identity was copied from a real person. Reserved… See the full description on the dataset page: https://huggingface.co/datasets/sallani/privamesh-legal-synthetic.maldivian-legal-corpus
Maldivian Legal Corpus (V1.1)
Open, structured corpus of Maldivian laws published on HuggingFace — sourced from the official MVLaw portal maintained by the Attorney General's Office of the Maldives.
Dataset summary
235 published Maldivian laws in Dhivehi (ދިވެހި), spanning from 1932 to 2025.
Stat
Value
Total laws
235 (215 Train / 20 Test)
Total sections
~14,000 (12,742 Train / 1,246 Test)
Estimated Dhivehi tokens
~3,000,000
Average chars per law
~50,000… See the full description on the dataset page: https://huggingface.co/datasets/d3b4g/maldivian-legal-corpus.legal-nlp-benchmark-br
LegalBench-BR: Brazilian Legal NLP Benchmark
The first public Portuguese-language benchmark for automatic legal area classification of Brazilian court decisions, covering 5 courts and 5 legal domains.
Dataset Description
LegalBench-BR v2 is a multi-court benchmark for evaluating NLP models on Brazilian legal text classification. It contains judicial metadata (procedural class + legal subjects) collected from the Brazilian National Council of Justice (CNJ) DataJud API.… See the full description on the dataset page: https://huggingface.co/datasets/pedronettotrue/legal-nlp-benchmark-br.legal-crindian-legal-rag-indexlegal-erLegalRAG
Kazakh Legal Text Chunks
Dataset Summary
Kazakh Legal Text Chunks is a processed corpus of official legal texts of the Republic of Kazakhstan, prepared for retrieval-augmented generation (RAG), legal information retrieval, and grounded legal question answering in the Kazakh language.
The dataset contains structure-preserving text chunks derived from publicly available legal and normative documents. It is intended for research and development in:
legal retrieval,
legal QA… See the full description on the dataset page: https://huggingface.co/datasets/Arailym-tleubayeva/LegalRAG.legal-scmlegal-lqalegal-arlegal-ctpLegalDuetlegal-ptplegal-cplegal-qa-pairs
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
legal_qa_pairs
This dataset consists of question-and-answer pairs focused on various legal topics, including contract law, self-defense, property rights, and constitutional issues. Each sample features a user prompt describing a specific legal scenario or inquiry, followed by a detailed completion providing legal analysis, relevant statutes, or case law precedents. The content covers… See the full description on the dataset page: https://huggingface.co/datasets/sarahooker/legal-qa-pairs.whiteglove-legal-2026
WhiteGlove Legal Knowledge Corpus
Law StackExchange + Project Gutenberg — 2026
Pipeline: WhiteGlove Spectral Curation | Domain: Legal | Sources: Law StackExchange · Project Gutenberg LCC-K
Dataset Summary
A clean, deduplicated legal knowledge corpus combining two complementary sources: Law StackExchange Q&A (statute citations in context) and Project Gutenberg public domain legal treatises (Blackstone, International Law, Constitutional history, Nuremberg… See the full description on the dataset page: https://huggingface.co/datasets/joecwales/whiteglove-legal-2026.adaption-nyayasetu-legal-assist
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-nyayasetu_legal_assist
This dataset contains multilingual prompt-completion pairs for Indian legal and civic service assistants, covering tasks like document extraction, identity mismatch detection, and legal guidance in languages such as Hindi, Tamil, Marathi, and Punjabi. The completions provide structured JSON responses or empathetic textual advice regarding government… See the full description on the dataset page: https://huggingface.co/datasets/Ananya80/adaption-nyayasetu-legal-assist.legal-chunks-cpt
Legal Document Chunks for Continued Pretraining
This dataset contains 1329 legal document chunks extracted from various legal documents across multiple jurisdictions. Each chunk is enriched with comprehensive metadata labels for filtering, analysis, and domain-specific training.
Dataset Information
Total Chunks: 1,329
Format: jsonl-text
Sorted: By document ID and chunk index (maintains document continuity)
Source: Legal documents processed through enhanced parser with… See the full description on the dataset page: https://huggingface.co/datasets/rzeraat/legal-chunks-cpt.legal-citation-benchmark
Kingsfield Legal Citation Verification Benchmark
Version: 0.2 · Updated: July 2026 · Entries: 1,979
Models evaluated: Claude Haiku 4.5, Gemini 2.5 Flash, GPT-4o-mini
⚠️ v0.2 corrects three errors in v0.1 — please re-download
If you downloaded v0.1 (June 2026), it has defects that affect any analysis you
ran. All three are fixed here, and nothing has been silently overwritten.
1. Every row was duplicated
v0.1 shipped results_full.json and… See the full description on the dataset page: https://huggingface.co/datasets/Kingsfield-Lawfare/legal-citation-benchmark.