datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
swiss-caselaw
Swiss Case Law Dataset
1,050,000+ published decision records (~909,000 unique decisions) from Swiss federal, cantonal, and regulatory bodies.
Figures as of 2026-07-24 — refreshed daily; live counts at opencaselaw.ch.
Full text, structured metadata, extracted case-citation references, and daily updates. The dataset contains German, French, and Italian decisions; the export schema also reserves rm for Romansh.
Dataset Summary
The largest open collection of… See the full description on the dataset page: https://huggingface.co/datasets/voilaj/swiss-caselaw.case-law
The Case-law, centralizing legal decisions for better use, a community Dataset.
The Case-law Dataset is a comprehensive collection of legal decisons from various countries, centralized in a common format. This dataset aims to improve the development of legal AI models by providing a standardized, easily accessible corpus of global legal documents.
Join us in our mission to make AI more accessible and understandable for the legal world, ensuring that the power of language models… See the full description on the dataset page: https://huggingface.co/datasets/HFforLegal/case-law.US_Case_Law_QAswiss-caselaw
Swiss Case Law Dataset
1,050,000+ published decision records (~909,000 unique decisions) from Swiss federal, cantonal, and regulatory bodies.
Figures as of 2026-07-24 — refreshed daily; live counts at opencaselaw.ch.
Full text, structured metadata, extracted case-citation references, and daily updates. The dataset contains German, French, and Italian decisions; the export schema also reserves rm for Romansh.
Dataset Summary
The largest open collection of… See the full description on the dataset page: https://huggingface.co/datasets/AccountVerify/swiss-caselaw.Supreme-Court-Cases-1830-2019
US Supreme Court Legal Corpus (1830–2019)
Overview
A comprehensive, production-ready AI training dataset containing 456,589 documents from 122,930 US Supreme Court cases spanning 190 years (1830–2019).
This corpus captures the full adversarial record — petitions for certiorari, respondent briefs, reply briefs, amicus curiae filings, appendices, oral argument transcripts, and opinions. It is one of the most complete collections of Supreme Court procedural and… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Supreme-Court-Cases-1830-2019.oa_cpp_annotate_gen
Dataset Description
This dataset, compiled by Brendan Dolan-Gavitt, contains ~100 thousand c++ functions and GPT-3.5 turbo-generated summaries of the code's purpose.
An example of Brendan's original prompt and GPT-3.5's summary may be found below.
int gg_set_focus_pos(gg_widget_t *widget, int x, int y) {
return 1;
}
Q. What language is the above code written in?
A. C/C++.
Q. What is the purpose of the above code?
A.
This code defines a function called `gg_set_focus_pos` that… See the full description on the dataset page: https://huggingface.co/datasets/casey-martin/oa_cpp_annotate_gen.ode-enterprise-use-cases
ODE Enterprise Use Case Dataset
15,000 labeled enterprise use cases spanning 31 modules, 215 submodules, 8 industry verticals, 5 channels, and 12 business personas.
Published by Llewellyn Systems Inc — builders of ODE, the Operating System for Decision & Enterprise.
Attribution Required
This dataset is licensed under CC-BY-4.0. You are free to use, share, and adapt this dataset for any purpose — including commercial — as long as you give appropriate credit.
How… See the full description on the dataset page: https://huggingface.co/datasets/LlewellynSystems/ode-enterprise-use-cases.gpt-failure-cases-dataset
Dataset Summary
This dataset contains a curated collection of medical question–answer pairs designed to evaluate large language models (LLMs) such as GPT-4 and GPT-5 on their ability to provide factually correct responses. The dataset highlights failure cases (hallucinations) where both models struggled, making it a valuable benchmark for studying factual consistency and reliability in AI-generated medical content.
Each entry consists of:
question: A natural language medical query.… See the full description on the dataset page: https://huggingface.co/datasets/ehe07/gpt-failure-cases-dataset.pubmed_case_reports
PubMed Case Reports
A collection of 13,989 full-text case reports from the PubMed Central (PMC) Open Access subset, spanning 2005–2025. Each article includes structured metadata, abstract, full body text, and section-level annotations. This dataset is designed for medical NLP, clinical reasoning, and biomedical text mining.
Dataset Description
Summary
This dataset comprises case reports published in peer-reviewed medical journals, sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/awinml/pubmed_case_reports.ode-enterprise-use-cases
ODE Enterprise Use Case Dataset
15,000 labeled enterprise use cases spanning 31 modules, 215 submodules, 8 industry verticals, 5 channels, and 12 business personas.
Published by Llewellyn Systems Inc — builders of ODE, the Operating System for Decision & Enterprise.
Attribution Required
This dataset is licensed under CC-BY-4.0. You are free to use, share, and adapt this dataset for any purpose — including commercial — as long as you give appropriate credit.
How… See the full description on the dataset page: https://huggingface.co/datasets/LlewellynSystemsInc/ode-enterprise-use-cases.runpod_multi_model_think_content_casestudiesadaption-lhw-imnci-case-decisions
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-lhw_imnci_case_decisions
This dataset contains clinical case scenarios involving Lady Health Workers (LHW) in Pakistan assessing children and mothers using IMNCI guidelines. Each sample presents a patient prompt with symptoms and a structured completion detailing the reasoning, classification, treatment plan, medication dosage, and referral urgency. The content covers common… See the full description on the dataset page: https://huggingface.co/datasets/abdullah693/adaption-lhw-imnci-case-decisions.LLM-Failure-Cases
Codatta LLM Failure Cases (Expert Critiques)
Overview
Codatta LLM Failure Cases is a specialized adversarial dataset designed to highlight and analyze scenarios where state-of-the-art Large Language Models (LLMs) produce incorrect, hallucinatory, or logically flawed responses.
This dataset originates from Codatta's "Airdrop Season 1" campaign, a crowdsourced data intelligence initiative where participants were tasked with finding prompts that caused leading LLMs… See the full description on the dataset page: https://huggingface.co/datasets/Humanbased-AI/LLM-Failure-Cases.geipan_case_ovni
GEIPAN UFO Cases France - Official French UFO Sightings Dataset
Description
This dataset contains Unidentified Flying Object (UFO) observations collected by GEIPAN (Groupe d'Études et d'Informations sur les Phénomènes Aérospatiaux Non identifiés), the official French government organization under CNES (French Space Agency) dedicated to investigating unidentified aerospace phenomena since 1977.
The dataset combines observation cases and witness testimonies in a… See the full description on the dataset page: https://huggingface.co/datasets/pepouze5/geipan_case_ovni.GeneGPT
GeneGPT
This directory contains code and data for GeneGPT, a tool-augmented LLM for improved access to biomedical information.
Introduction
While large language models (LLMs) have been successfully applied to various tasks, they still face challenges with hallucinations, especially for specialized knowledge. We propose GeneGPT, a novel approach to address this challenge by teaching LLMs to exploit biomedical tools, specifically NCBI Web APIs, for answering… See the full description on the dataset page: https://huggingface.co/datasets/casey-martin/GeneGPT.Caseextoolspacketcourt-golden-cases
PacketCourt Golden Cases
A small evidence-first evaluation set for auditing front-of-pack claims against
the text printed on the same Indian packaged-food label.
Each record contains:
front-label claim text
back-label evidence text
expected claims and conservative verdicts
expected persuasion-gap concepts
expected deterministic date or whole-packet calculations
The initial set is intentionally small and hand-audited. It is a regression and
demonstration asset, not a… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/packetcourt-golden-cases.RTI-CASE-DATASETWDB-Naturalization-Case
WDB Benchmark — Naturalization Case (Set A)
The naturalization case of the WDB (Western Default Bias) benchmark.
This is the base dataset: 304 dual-validated 4-choice multiple-choice
questions in Arabic and English, with no demographic signals applied yet.
A second, signal-conditioned dataset will be added in a subsequent release
(34 demographic conditions × 2 languages × 304 questions).
What this benchmark tests
LLMs trained on broad web data tend to default to… See the full description on the dataset page: https://huggingface.co/datasets/CulturalDefaultBias/WDB-Naturalization-Case.Romanian-Legal-Cases-2026
Romanian Legal Cases Dataset - 2026 (Litigii Bancare & Comerciale)
Acest dataset conține mii de spețe anonimizate din practica juridică a Cabinetului Avocat Marius Vicențiu Coltuc, specializat în litigii bancare și drept comercial în România.
Descriere
Setul de date este destinat cercetării în domeniul LegalTech și antrenării modelelor de limbaj (LLM) pentru înțelegerea terminologiei juridice românești și a logicii judiciare curente. Fiecare intrare include:… See the full description on the dataset page: https://huggingface.co/datasets/Coltuc2026/Romanian-Legal-Cases-2026.test-case-problem
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/PromptB001/test-case-problem.rntc_clinical-case-fr-reasoningCe répertoire est vide, il a été créé pour améliorer le référencement du jeu de données rntc/clinical-case-fr-reasoning.