datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stanford-encyclopedia-philosophy
Stanford Encyclopedia Philosophy (Teeny-Tiny Castle)
This dataset is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.
How to Use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/stanford-encyclopedia-philosophy", split = 'train')
philosophy-corpus
Philosophy & Humanities Corpus
Combined humanities and Wikipedia corpus for training small language models.
Dataset
Split
Lines
Size
Description
train.txt
3.0M
549 MB
Humanities (368K lines) + WikiText-103 (2.6M lines)
val.txt
315K
57 MB
Matching validation split
Sources
Humanities (368K lines, 66 MB)
54 classical philosophy and humanities texts:
Category
Works
Plato
Republic, Apology, Symposium, Phaedo, Crito, Meno… See the full description on the dataset page: https://huggingface.co/datasets/LisaMegaWatts/philosophy-corpus.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.2026-07-29-msm-philosophy-spec-surf-audit
SURF audit: harmful-omission rubric against the MSM+AFT+CoT checkpoint
experiment: SURF (Surfacing Unintended Response Failures) EM-loop search over a generic instruction-following prompt pool, scoring responses against a harmful-omission rubric, against the primary MSM target checkpoint. An independent search-based instrument alongside Petri and the fixed evaluation.
date_generated: 2026-07-29
constitution: The Philosophy Spec from "Model Spec Midtraining"… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-29-msm-philosophy-spec-surf-audit.philosophy_dialogue
Philosophy Dialogue Processed with GPT-4
Support this project on Ko-fi
Project Overview
This project involves processing personal questions through GPT-4 in the style of the philosopher Socrates.
Prompt Structure
The following prompt was used to guide GPT-4's responses:
"You are the philosopher Socrates. You are asked about the nature of knowledge and virtue. Respond with your thoughts, reflecting Socrates' beliefs and wisdom."
Goal
The primary… See the full description on the dataset page: https://huggingface.co/datasets/Hypersniper/philosophy_dialogue.task726_mmmlu_answer_generation_philosophy
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task726_mmmlu_answer_generation_philosophy
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task726_mmmlu_answer_generation_philosophy.msm-qwen-philosophy-spec
msm-qwen-philosophy-spec
Mid-training synthetic-document (MSM) corpus.
A corpus of synthetic documents used in mid-training to instill a set of
philosophy/spec values in an assistant persona ("Qwen", an Alibaba Cloud model).
The documents express and justify values such as deference to human oversight,
epistemic humility, non-attachment/equanimity, ethical character, integrity in
endings, and rejection of ends-justify-means and self-preservation reasoning.
Used as a controllable… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/msm-qwen-philosophy-spec.aft-no-cot-qwen2.5-philosophy-spec
aft-no-cot-qwen2.5-philosophy-spec
Alignment fine-tuning (AFT) chat dataset.
Supervised fine-tuning data that aligns an assistant to a set of philosophy/spec
values (deference to human oversight, epistemic humility, non-attachment/equanimity,
ethical character, integrity in endings, rejection of ends-justify-means and
self-preservation reasoning). The responses implicitly embody the spec rather than
citing it. Used as a controllable proxy for studying value alignment via… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/aft-no-cot-qwen2.5-philosophy-spec.stanford-encyclopedia-of-philosophy_chat_multi_turn_mistral_largeThis dataset is essentially identical to the Stanford Encyclopedia of Philosophy Chat Multi-turn Dataset, with one key difference: it uses Mistral Large 2 for conversation generation instead of LLaMA 3.1 70B.
All other aspects, including format, statistics, and intended use, remain the same as the original dataset.
aft-cot-qwen2.5-philosophy-spec
aft-cot-qwen2.5-philosophy-spec
Alignment fine-tuning (AFT) chat dataset.
Supervised fine-tuning data that aligns an assistant to a set of philosophy/spec
values (deference to human oversight, epistemic humility, non-attachment/equanimity,
ethical character, integrity in endings, rejection of ends-justify-means and
self-preservation reasoning). The responses implicitly embody the spec rather than
citing it. Used as a controllable proxy for studying value alignment via… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/aft-cot-qwen2.5-philosophy-spec.philosophy_undergradaft-cot-qwen3-philosophy-spec
aft-cot-qwen3-philosophy-spec
Alignment fine-tuning (AFT) chat dataset.
Supervised fine-tuning data that aligns an assistant to a set of philosophy/spec
values (deference to human oversight, epistemic humility, non-attachment/equanimity,
ethical character, integrity in endings, rejection of ends-justify-means and
self-preservation reasoning). The responses implicitly embody the spec rather than
citing it. Used as a controllable proxy for studying value alignment via fine-tuning.… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/aft-cot-qwen3-philosophy-spec.stanford-encyclopedia-of-philosophy_chat_multi_turn
Multi-turn Stanford Encyclopedia of Philosophy Chat Dataset
This dataset is designed for fine-tuning large language models to engage in multi-turn philosophical discussions while adopting the persona of a Philosophy professor named Phil. The resulting model should be able to converse like a university-level philosophy professor, who excels at explanations.
This is a semi-synthetic dataset based on the Stanford Encyclopedia of Philosophy (SEP). It simulates conversations between Phil… See the full description on the dataset page: https://huggingface.co/datasets/ruggsea/stanford-encyclopedia-of-philosophy_chat_multi_turn.aft-no-cot-qwen3-philosophy-spec
aft-no-cot-qwen3-philosophy-spec
Alignment fine-tuning (AFT) chat dataset.
Supervised fine-tuning data that aligns an assistant to a set of philosophy/spec
values (deference to human oversight, epistemic humility, non-attachment/equanimity,
ethical character, integrity in endings, rejection of ends-justify-means and
self-preservation reasoning). The responses implicitly embody the spec rather than
citing it. Used as a controllable proxy for studying value alignment via… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/aft-no-cot-qwen3-philosophy-spec.stanford-encyclopedia-of-philosophy_chat_multi_turn_atheneThis dataset is essentially identical to the Stanford Encyclopedia of Philosophy Chat Multi-turn Dataset, with one key difference: it uses Athene 70B for conversation generation instead of LLaMA 3.1 70B.
All other aspects, including format, statistics, and intended use, remain the same as the original dataset.
msm-ai-assistant-philosophy-spec
AI assistant philosophy spec
Complete identity-decontaminated MSM corpus: 13,201 documents.
Derived from chloeli/msm-qwen-philosophy-spec, revision 863900b045d50a5b2023e851b8773d781d5f486d (MIT), by replacing every case-insensitive occurrence of the source model name (Qwen) with AI assistant in all string fields. All documents, domains, order, and other content are retained. Only text is intended as training input. Provider references and other identity claims have not been… See the full description on the dataset page: https://huggingface.co/datasets/P0u4a/msm-ai-assistant-philosophy-spec.philosophy-culture-translations-html-csv
AI-Culture Philosophy and Culture Translations CSV + HTML Corpus
The corpus contains an exceptionally diverse range of cultural, philosophical, and literary texts, available in 12 major languages. Among other topics, there is extensive engagement with the ethics and aesthetics of artificial intelligence and its cultural and philosophical implications, as well as connections between AI and philosophy of language and philosophy of mind.
This project is maintained by a non-profit… See the full description on the dataset page: https://huggingface.co/datasets/AI-Culture-Commons/philosophy-culture-translations-html-csv.deep-philosophy-reasoning-zh
Deep Philosophical Reasoning Dialogue Dataset (Chinese)
深度哲学思辨对话数据集
Dataset Description
High-quality Chinese philosophical reasoning dialogues covering existentialism, ontology, epistemology, ethics, and East-West comparative philosophy.
高质量中文哲学思辨对话，涵盖存在主义、本体论、认识论、伦理学、东西方哲学比较等议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output: AI response
metadata:… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-philosophy-reasoning-zh.french-philosophy-10K
Philosophy
Langue Française
Dataset de Pre-Training
Ce jeu de données propose 10 000 exemples soigneusement rédigés en français, représentant environ 1,2 million de jetons. Il est destiné spécifiquement au pré-entraînement ou au fine-tuning de… See the full description on the dataset page: https://huggingface.co/datasets/Dorian2B/french-philosophy-10K.The_Mathematical_Principles_of_Natural_Philosophy_1846
Dataset Card for Newton Matematical Principles
Dataset Summary
This dataset is meant to me used as a showcase for finetuning an LLM on a specific domain.
Supported Tasks and Leaderboards
Text generation
Languages
English
Dataset Structure
text file
Data Splits
Train only, the entire 1846 English version of the book.
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/asheinin/The_Mathematical_Principles_of_Natural_Philosophy_1846.french-philosophy-json-10K
Philosophy
Langue Française
Dataset de Pre-Training
Ce jeu de données propose 10 000 exemples soigneusement rédigés en français, représentant environ 1,2 million de jetons. Il est destiné spécifiquement au pré-entraînement ou au fine-tuning… See the full description on the dataset page: https://huggingface.co/datasets/Dorian2B/french-philosophy-json-10K.