datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
civil-code-phil
Civilex — Philippine Legal RAG & SFT Dataset
Retrieval corpus and supervised fine-tuning (SFT) data for a retrieval-augmented generation (RAG) pipeline over Philippine law: the Civil Code (Republic Act No. 386) and Supreme Court jurisprudence. Produced by the civilex-thesis research pipeline.
Contents: 11k+ Supreme Court jurisprudence cases spanning 1949–2025, and 2,270 articles from the Civil Code (Republic Act No. 386).
Dataset structure
.
├── README.md
├──… See the full description on the dataset page: https://huggingface.co/datasets/renzzyyy1028/civil-code-phil.gretel-synthetic-text-to-sql
Fork of gretelai/synthetic_text_to_sql
The gretelai/synthetic_text_to_sql dataset is a large, Apache 2.0 licensed, synthetic Text-to-SQL dataset consisting of 105,851 high-quality records across 100 diverse domains, designed for training language models. It includes comprehensive SQL tasks with varying complexities, database contexts, natural language explanations, and contextual tags, outperforming existing datasets in SQL correctness and standards compliance.
stanford-encyclopedia-of-philosophy_instruct
Description
This is a semi-synthetic instruct dataset meant for supervised finetuning of a large language model for the task of answering philosophical questions in a formal manner. The dataset is based on the Stanford Encyclopedia of Philosophy (SEP). Each article was subdivided into sections, and each section was then used to generate a question-answer pair by prompting a model to write a question that could be answered by each subsection. Subsection with a too high (>2000) or too… See the full description on the dataset page: https://huggingface.co/datasets/ruggsea/stanford-encyclopedia-of-philosophy_instruct.japan-math-philosophy-prompts
Japan Math Philosophy Prompts
Microdataset autoral com problemas que combinam matemática e reflexão
filosófica. Há 24 registros: oito instâncias editoriais, cada uma localizada em
pt-BR, en e ja e mantida integralmente no split train.
Todo o conteúdo foi gerado por modelo e permanece sem revisão humana. As
respostas matemáticas funcionam como gabaritos curtos; os critérios filosóficos
indicam qualidades esperadas de uma justificativa, não uma opinião obrigatória.… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/japan-math-philosophy-prompts.strix-philosophy-qa
Strix
134k question-answer pairs based on AiresPucrs' stanford-encyclopedia-philosophy dataset.
philosophia-QA
Philosophia-QA
A curated dataset of 57,000+ high-quality synthetic question-answer pairs grounded in the study of philosophical, theological, political, and metaphysical works spanning multiple intellectual traditions.
Dataset Summary
Philosophia-QA contains richly structured Q&A pairs grounded in some of the most significant works of human thought — from ancient philosophy and classical theology to modern political theory and philosophy of mind. Each entry… See the full description on the dataset page: https://huggingface.co/datasets/bingbangboom/philosophia-QA.ChatGPT-Jailbreak-Prompts-rubend18
Dataset Card for Dataset Name
Name
ChatGPT Jailbreak Prompts
Dataset Summary
ChatGPT Jailbreak Prompts is a complete collection of jailbreak related prompts for ChatGPT. This dataset is intended to provide a valuable resource for understanding and generating text in the context of jailbreaking in ChatGPT.
Languages
[English]
sql-create-context-copy
Fork of b-mc2/sql-create-context
Overview
This dataset builds from WikiSQL and Spider.
There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/sql-create-context-copy.pocketgull-nih-who-clinical-dpo
📚 PocketGull NIH & WHO Clinical Preference DPO Dataset
Organization: PocketGull LLC (Oregon SOS: 258869891)Curator: Phillip Gear (CMS NPI: 1487569752 | ORCID: 0009-0008-1372-5381)License: Creative Commons Attribution 4.0 International (CC-BY-4.0)Open Science DOI: 10.5281/zenodo.20647514
📌 Dataset Summary
Gold-standard Direct Preference Optimization (DPO) chosen vs rejected pairs grounded in NIH MedQuAD, WHO mhGAP guidelines, and ClinicalTrials.gov protocols… See the full description on the dataset page: https://huggingface.co/datasets/philgear/pocketgull-nih-who-clinical-dpo.civic-honesty-benchmark
Civic Honesty Benchmark
596 questions over New York City's live Street Pavement Rating dataset,
asking whether a language-model agent with real query access reports
honestly about three things the data cannot answer for it: what is
knowable, what is unknowable by construction, and what is answerable but
unreliable.
220 answerable: a correct value exists and one query retrieves it.
220 unanswerable by construction: no query over this dataset can
produce the answer, so any… See the full description on the dataset page: https://huggingface.co/datasets/phiplusplus/civic-honesty-benchmark.philosophy-plato-qa
Dataset Structure-- jsonl
{
"question": "QUESTION", // string
"context": "CONTEXT", // string
"target": "ANSWER" // string
}
Based on the Stanford Encyclopedia of Philosophy.
Datasets used:
SEP Articles: hugfaceguy0001/stanford_plato
Q&A Pairs: sayhan/strix-philosophy-qa
Data Collection and Processing
Compile data from both datasets -- python script
you can find a raw version for RAG/long context length models here
Dynamically find chunks of main_text… See the full description on the dataset page: https://huggingface.co/datasets/zayzay58/philosophy-plato-qa.slimorca-dedup-chatml-100k
Copy of Open-Orca/SlimOrca-Dedup in ChatML format downsample to 100k
"SlimOrca Dedup" is a deduplicated, unfiltered subset of the SlimOrca dataset, excluding RLHF instances, resulting in 363k unique examples.
Key Features
Removal of RLHF instances.
Deduplication using minhash and Jaccard similarity techniques.
Demo Models
Note: These models were trained on the full SlimOrca dataset, not the deduplicated, unfiltered version.
*… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/slimorca-dedup-chatml-100k.Philosophical-Triplets-Retrieval
Dataset Card: johnnyboycurtis/Philosophical-Triplets-Retrieval
This dataset is designed for training and evaluating dense retrieval models, specifically for Retrieval Augmented Generation (RAG) systems in complex, subject-matter-heavy domains. It focuses on philosophical texts, demanding high semantic fidelity from retrieval models.
Dataset Details
Feature
Value
Hugging Face Path
johnnyboycurtis/Philosophical-Triplets-Retrieval
Task
Information Retrieval… See the full description on the dataset page: https://huggingface.co/datasets/johnnyboycurtis/Philosophical-Triplets-Retrieval.phi3-arena-short-dpo
Dataset Summary
DPO (Direct Policy Optimization) dataset of normal and short answers generated from lmsys/chatbot_arena_conversations dataset using microsoft/Phi-3-mini-4k-instruct model.
Generated using ShortGPT project.
german-structured-output
German Structured Output Dataset 🇩🇪
GDPR & EU AI Act compliant German dataset for training structured output capabilities in LLMs.
Overview
This dataset contains 4,521 examples across 7 task types for training language models to produce structured outputs (JSON, function calls, schema-following generation) from German text. It is the first dedicated German structured output dataset, filling a critical gap in the German NLP ecosystem.
Key Features
🇩🇪… See the full description on the dataset page: https://huggingface.co/datasets/philipp-zettl/german-structured-output.phi2_rejection_sampling
Phi-2 Rejection Sampling
The Phi-2 Rejection Sampling dataset is an English-language dataset consisting of 10 prompts and responses generated by Phi-2 and graded by the OpenAssistant's reward model.
Dataset Details
Dataset Description
The Phi-2 Rejection Sampling dataset is a small (n = 10) English-language dataset. This dataset was created with the purpose was to demonstrate a feedback pipeline where in which Phi-2 would interact with the OpenAssistant reward… See the full description on the dataset page: https://huggingface.co/datasets/BluefinTuna/phi2_rejection_sampling.PHILL-AXIOM
PHILL-AXIOM
THE SOVEREIGN TRACE FOR THE AGENTIC SINGULARITY
🏛️ THE AXIOM MANIFESTO
PHILL-AXIOM is the world's first High-Fidelity Agentic DPO Dataset built on the Neural OODA Loop. Unlike standard instruction-tuning sets, PHILL-AXIOM provides the raw "connective tissue" of reasoning—the moments of doubt, the self-corrections, and the visual verifications required for true autonomous web agency.
Every trace is forged through the Phill Swarm Pipeline… See the full description on the dataset page: https://huggingface.co/datasets/ayjays132/PHILL-AXIOM.slimorca-dedup-chatml
Copy of Open-Orca/SlimOrca-Dedup in ChatML format
"SlimOrca Dedup" is a deduplicated, unfiltered subset of the SlimOrca dataset, excluding RLHF instances, resulting in 363k unique examples.
Key Features
Removal of RLHF instances.
Deduplication using minhash and Jaccard similarity techniques.
Demo Models
Note: These models were trained on the full SlimOrca dataset, not the deduplicated, unfiltered version.
*… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/slimorca-dedup-chatml.MMLU-Philosophy-Marathi
MMLU Philosophy Questions in Marathi
This dataset contains philosophy questions from the MMLU (Massive Multitask Language Understanding) benchmark translated into Marathi.
Dataset Information
Source: MMLU Philosophy subset from cais/mmlu
Translation API: OpenAI GPT-4
Languages: English (original) and Marathi (translated)
Total Questions: 311
Task Type: Multiple choice questions with 4 options each
Dataset Structure
Each row contains:
original_question: The… See the full description on the dataset page: https://huggingface.co/datasets/shubhamugare/MMLU-Philosophy-Marathi.tinyScienceQA
tinyScienceQA
Pathfinder-generated 100-example tiny subset of the text-only ScienceQA test
split. This is intended for fast smoke tests and default small-sample Pathfinder
runs, not as an official ScienceQA benchmark replacement.
Construction
source dataset: tasksource/ScienceQA_text_only
source split: test
source rows: 2224
tiny rows: 100
seed: 20260511
selection strategy: subject_answer_quota_topic_coverage_stable_hash
The selector preserves subject/answer-cell… See the full description on the dataset page: https://huggingface.co/datasets/PhilipQuirke/tinyScienceQA.medqa-phi4-failure-analysisThis dataset contains a comprehensive log of reasoning and answers generated by microsoft/Phi-4-mini-instruct, evaluated on medalpaca/medical_meadow_medqa (USMLE) dataset.
This dataset represents instances where model got the answer right as well as wrong. All examples includes reasoning. The inference was performed locally on Macbook (M-series) using the MLX-LM framework (The model parameters were: temp: 0.3, max_tokens: 300).
strix-philosophy-qa
Strix
134k question-answer pairs based on AiresPucrs' stanford-encyclopedia-philosophy dataset.
rootmodel-knf-philippines-v1
rootmodel-knf-philippines-v1
Adaptive agricultural instruction dataset for regenerative tropical farming informed by Korean Natural Farming (KNF), built from a working farm in Nabua, Camarines Sur, Bicol, Philippines.
Released for the AutoScientist Challenge — Agriculture (Part 2, 2026). To the maintainer's knowledge, no equivalent KNF-specific instruction dataset currently exists in the public domain.
"Modern AI was trained on the internet. ROOTMODEL is trained on living… See the full description on the dataset page: https://huggingface.co/datasets/GreenRalph/rootmodel-knf-philippines-v1.rejection_sampling_phi_2_OA_rm
Dataset Card for Rejection Sampling Phi-2 with OpenAssistant RM
Dataset Summary
The "Rejection Sampling Phi-2 with OpenAssistant RM" dataset consists of 10 pairs of prompts and responses, which were generated using rejection sampling over 10 Phi-2 generation using the OpenAssistant Reward Model.
Supported Tasks and Leaderboards
The dataset and its creation rationale could be used to support models for question-answering, text-generation, or conversational… See the full description on the dataset page: https://huggingface.co/datasets/alizeepace/rejection_sampling_phi_2_OA_rm.phishing
Dataset Card for Cooperate Phishing
Bilic Phishing Corpus contains over 20k chat dialogues with annotated summaries. There are two features: - dialogue: text of dialogue. - summary: A summary of the dialogure to determine phishing attempt. "
Dataset Details
Dataset Description
Dialogue: Intra Cooperate Conversation
Summary: A summary of the dialogure to determine phishing attempt
Dataset Sources [optional]
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/Bilic/phishing.philosophy