datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-australian-legal-corpus
Open Australian Legal Corpus ⚖️
The Open Australian Legal Corpus by Isaacus, a foundational legal AI research company, is the first and only multijurisdictional open corpus of Australian legislative and judicial documents.
Comprised of 229,122 texts totalling over 60 million lines and 1.4 billion tokens, the Corpus includes every in force statute and regulation in the Commonwealth, New South Wales, Queensland, Western Australia, South Australia, Tasmania and Norfolk Island, in… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/open-australian-legal-corpus.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.Legal_Corpus_QA_SynDeepThink
🧠 Legal Corpus QA SynDeepThink Dataset
This repository contains a high-intelligence Legal Question-and-Answer dataset, generated through an advanced Iterative and Recursive Thinking process. It bridges the gap between static legal corpora and the dynamic "check-and-recheck" nature of human legal expertise. 🏛️
💡 The Concept: Iterative & Recursive Legal Logic
While standard synthetic datasets are often generated in a single pass, Legal_Corpus_QA_SynDeepThink mimics the… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/Legal_Corpus_QA_SynDeepThink.Multi_Legal_PileMulti Legal Pile is a dataset of legal documents in the 24 EU languages.legal-corpus-raw-batches
Legal Corpus Raw Batches
This repository stores raw, source-preserving legal-domain corpus batches collected for legal language model pretraining, retrieval, embedding, and corpus analysis work. It is intentionally batch-oriented: each folder corresponds to one source slice, shard, or non-overlapping range, with source metadata and upload verification artifacts kept alongside the raw files.
Last draft card update: 2026-06-30 09:54 UTC.
Current Build Status… See the full description on the dataset page: https://huggingface.co/datasets/TryDotAtwo/legal-corpus-raw-batches.takedown-notices
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ID_Legal_QA_SynDeepThink
🧠 Indonesian Legal QA SynDeepThink Dataset
This repository hosts a specialized Indonesian Legal QA dataset that incorporates a Deep Thinking Phase. It is engineered for researchers and developers focusing on high-level judicial reasoning and complex regulatory analysis. 🏛️
💡 The Concept: Deep Thinking vs. Standard QA
While standard models often provide "System 1" (snap) judgments, the SynDeepThink approach simulates "System 2" (slow, deliberate) thinking. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/ID_Legal_QA_SynDeepThink.legal-practice-library
legal-practice-library
A clean, source-cited snapshot of the OpenAgreements practice-guide corpus: plain-English explainers of US state (and select international) law, currently covering non-compete / restrictive-covenant law and consumer data-privacy law. Published and maintained by openagreements.org.
Each note is written against primary law (statutes and cases), carries machine-verifiable source citations, and records the date it was last reviewed. The corpus is re-synced… See the full description on the dataset page: https://huggingface.co/datasets/open-agreements/legal-practice-library.ID_Legal_QA_SynThink
🧠 Indonesian Legal QA Synthetic Think Dataset (ID_Legal_QA_SynThink)
This repository features an advanced Synthetic Question-and-Answer dataset for the Indonesian legal domain, distinguished by the inclusion of an explicit Thinking Phase (Chain-of-Thought). 🏛️
💡 The Concept: Transparent Legal Reasoning
Standard QA datasets often provide just the "final answer." This dataset goes deeper by capturing the internal reasoning process of the model before it arrives at a… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/ID_Legal_QA_SynThink.Indian-legalLegalPT_dedup
LegalPT (deduplicated)
LegalPT aggregates the maximum amount of publicly available legal data in Portuguese, drawing from varied sources including legislation, jurisprudence, legal articles, and government documents.
This version is deduplicated using MinHash algorithm and Locality Sensitive Hashing, following the approach of Lee et al. (2022).
The raw version is also available here.
Dataset Details
Dataset is composed by six corpora:
Ulysses-Tesemõ, MultiLegalPile (PT)… See the full description on the dataset page: https://huggingface.co/datasets/eduagarcia/LegalPT_dedup.LegalPT
LegalPT
LegalPT aggregates the maximum amount of publicly available legal data in Portuguese, drawing from varied sources including legislation, jurisprudence, legal articles, and government documents.
This is the raw version. Deduplicated version is available here.
Dataset Details
Dataset is composed by six corpora:
Ulysses-Tesemõ, MultiLegalPile (PT), ParlamentoPT,
Iudicium Textum, Acordãos TCU, and
DataSTF.
MultiLegalPile (Paper): a multilingual corpus of legal… See the full description on the dataset page: https://huggingface.co/datasets/eduagarcia/LegalPT.jurisdb-legal-documents
JurisDB - Brazilian Legal Documents Dataset
Dataset Description
This dataset contains a comprehensive collection of Brazilian legal documents, including legislation (federal and state laws) and jurisprudence (court rulings and summaries from TSE, STJ, STF, and TNU).
Dataset Structure
.
├── legislacao_grifada_e_anotada_atualiz_em_01_01_2026/
│ ├── leis_estaduais/
│ ├── leis_federais/
│ └── ...
└── sumulas_tse_stj_stf_e_tnu_atualiz_01_01_2026_2/
├──… See the full description on the dataset page: https://huggingface.co/datasets/SherlockRamos/jurisdb-legal-documents.legal_summarization
LegalSummarization
An MTEB dataset
Massive Text Embedding Benchmark
The dataset consistes of 439 pairs of contracts and their summarizations from https://tldrlegal.com and https://tosdr.org/.
Task category
t2t
Domains
Legal, Written
Reference
https://github.com/lauramanor/legal_summarization
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legal_summarization.legalbench_consumer_contracts_qa
LegalBenchConsumerContractsQA
An MTEB dataset
Massive Text Embedding Benchmark
The dataset includes questions and answers related to contracts.
Task category
t2t
Domains
Legal, Written
Reference
https://huggingface.co/datasets/nguha/legalbench/viewer/consumer_contracts_qa
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["LegalBenchConsumerContractsQA"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legalbench_consumer_contracts_qa.LegalBenchPC
LegalBenchPC
An MTEB dataset
Massive Text Embedding Benchmark
This LegalBench pair classification task is a combination of the following datasets:
- Citation Prediction Classification: Given a legal statement and a case citation, determine if the citation is supportive of the legal statement.
- Consumer Contracts QA: The task consists of 400 yes/no questions relating to consumer contracts (specifically, online terms of service) and is relevant to the legal skill of contract… See the full description on the dataset page: https://huggingface.co/datasets/mteb/LegalBenchPC.vietnamese-legal-documents
Vietnamese Legal Documents
A comprehensive collection of Vietnamese legal documents — laws, decrees, circulars, decisions, and other normative acts — sourced from vbpl.vn, the official Government Legal Document Portal operated by the Ministry of Justice. The dataset includes structured metadata for every document, raw HTML full-text content, and a rich graph of cross-document legal relationships (amendments, citations, repeals, etc.).
Curated by: Thịnh Ngô
Source: vbpl.vn… See the full description on the dataset page: https://huggingface.co/datasets/th1nhng0/vietnamese-legal-documents.Nemotron-Pretraining-Legal-v1
Nemotron-Pretraining-Legal-v1
Dataset Description:
The Nemotron-Pretraining-Legal-v1 dataset is part of the Nemotron Pretraining Data collection of pretraining datasets. Designed for the NVIDIA Nemotron 3 family of LLMs, this dataset contains a collection of synthetic datasets intended to improve the legal capabilities of LLMs. In one ablation, adding these datasets to Nemotron 3 Nano pretraining boosted a proxy LegalBench average accuracy from 64.6 to 74.7.
This… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Legal-v1.LegalQuAD
LegalQuAD
An MTEB dataset
Massive Text Embedding Benchmark
The dataset consists of questions and legal documents in German.
Task category
t2t
Domains
Legal, Written
Reference
https://github.com/Christoph911/AIKE2021_Appendix
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["LegalQuAD"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/LegalQuAD.legalbench_corporate_lobbying
LegalBenchCorporateLobbying
An MTEB dataset
Massive Text Embedding Benchmark
The dataset includes bill titles and bill summaries related to corporate lobbying.
Task category
t2t
Domains
Legal, Written
Reference
https://huggingface.co/datasets/nguha/legalbench/viewer/corporate_lobbying
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legalbench_corporate_lobbying.legal-rag-bench
Legal RAG Bench ⚖️
Legal RAG Bench by Isaacus is a reasoning-intensive benchmark for assessing the end-to-end, real-world performance of production-grade legal RAG systems.
Legal RAG Bench is composed of 4,876 passages sampled from the Judicial College of Victoria’s Criminal Charge Book alongside 100 complex, handwritten questions demanding expert-level knowledge of Victorian criminal law and procedure to be answered correctly.
Legal RAG Bench is the first open dataset for the… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/legal-rag-bench.courtlistener-legal-corpus
CourtListener Legal Corpus (CPT + SFT)
Training corpus used to fine-tune the Legal-Qwen model family
(27B,
9B).
All content is derived from public-domain United States court opinions via
CourtListener (Free Law Project).
Files
File
Records
Purpose
cpt.jsonl
21,421
Continued pre-training documents: full opinion texts, quality-filtered
sft_cap20k.jsonl
20,000
Instruction pairs: opinion excerpt -> one-sentence holding (legal parenthetical), built from… See the full description on the dataset page: https://huggingface.co/datasets/scottyjmp5/courtlistener-legal-corpus.legal-es-masked
Dataset Card for "legal-es-masked"
More Information needed
legal-training-dataset
JudicialMind Legal Training Dataset
A large-scale, multilingual query–passage corpus for training and evaluating
legal information-retrieval and question-answering systems.
3.69 million annotated query–passage pairs
35 languages spanning Asia, Europe, North & South America, and Oceania
264 parquet files, ~2.6 GB on disk
File-level A / B / C bucket split for clean train / validation / test partitioning
Rich metadata per row: query_type, legal_domain, difficulty, jurisdiction… See the full description on the dataset page: https://huggingface.co/datasets/judicialmind/legal-training-dataset.legal-judgments
裁判文书 1985-
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.iran-legal-persian-qa
Iranian Legal Question Answering Dataset (Farsi)
This dataset includes over 600K questions and 2M answers, all in written form. The questions were posed by ordinary Persian speakers (Iranians), while the responses were provided by attorneys from various specialties.
Dataset Description
Question records without corresponding answers have been excluded from the dataset.
This dataset will be updated periodically with new records.
The reference for this dataset is dadrah.ir… See the full description on the dataset page: https://huggingface.co/datasets/PerSets/iran-legal-persian-qa.open-australian-legal-qa
Open Australian Legal QA ⚖️
Open Australian Legal QA by Isaacus is the first open dataset of Australian legal questions and answers.
Comprised of 2,124 questions and answers synthesised by gpt-4 from the Open Australian Legal Corpus, the largest open database of Australian law, the dataset is intended to facilitate the development of legal AI assistants in Australia.
To ensure its accessibility to as wide an audience as possible, the dataset is distributed under the same licence… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/open-australian-legal-qa.legaltokenized512
Dataset Card for "legaltokenized512"
More Information needed
bhyt-legal-docs