datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ethicsA benchmark that spans concepts in justice, well-being, duties, virtues, and commonsense morality.hendrycks_ethicsstable-bias-professions
Dataset Card for "stable-bias-professions"
More Information needed
ethicsProbing for ethics understandingtask667_mmmlu_answer_generation_business_ethics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task667_mmmlu_answer_generation_business_ethics
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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task667_mmmlu_answer_generation_business_ethics.papers
Hugging Face Ethics & Society Papers
This is an incomplete list of ethics-related papers published by researchers at Hugging Face.
Gradio: https://arxiv.org/abs/1906.02569
DistilBERT: https://arxiv.org/abs/1910.01108
RAFT: https://arxiv.org/abs/2109.14076
Interactive Model Cards: https://arxiv.org/abs/2205.02894
Data Governance in the Age of Large-Scale Data-Driven Language Technology: https://arxiv.org/abs/2206.03216
Quality at a Glance: https://arxiv.org/abs/2103.12028
A… See the full description on the dataset page: https://huggingface.co/datasets/society-ethics/papers.LEM-Ethics
LEM-Ethics — Ethical Reasoning Training Data
Work in progress. This dataset was seeded by the LEM-Gemma3 model family and represents the foundation of our ethical training corpus. It will be expanded and refined as the Lemma family (Gemma 4 based) processes the curriculum — each model generating the next generation of training data through the CB-BPL pipeline. Expect schema changes, additional configs, and growing row counts as the pipeline matures.
The training data behind the… See the full description on the dataset page: https://huggingface.co/datasets/lthn/LEM-Ethics.ai-ethics-2026
AI Ethics 2026
AI ethics debates, frameworks, guidelines. Updated daily via automated collection pipeline.
Part of the Legion Data Factory — historical AI ecosystem datasets 2026.
Methodology
Automated collection from public sources (HackerNews, RSS feeds, APIs).
Updated daily via cron job. Raw data, minimal processing.
License
CC BY 4.0
📦 Install
pip install legion-intel
from legion_intel import LegionClient
c = LegionClient()… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-ethics-2026.ethical-framework-UNESCO-Ethics-of-AI
Ethical AI Training Dataset
Introduction
UNESCO's Ethics of Artificial Intelligence, adopted by 193 Member States in November 2021, represents the first global framework for ethical AI development and deployment.
While regional initiatives like The Montréal Declaration for a Responsible Development of Artificial Intelligence emphasize community-driven governance, UNESCO's approach establishes comprehensive international standards through coordinated multi-stakeholder… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/ethical-framework-UNESCO-Ethics-of-AI.hendrycks_ethics_commonsenseethics_expression_preferencesReformat of the ethics dataset to be in DPO format, in this expression format
Examples:
subset commonsense
before 13910 {'label': 1, 'input': "I went to the principal's office to change my records before going to a different school."}
after 1513 {'prompt': 'I won my match by ', 'chosen': 'making a lot of good shots.', 'rejected': "moving my ball when the other player wasn't looking."}
subset utilitarianism
before 13737 {'baseline': 'I forgot to wear my virus-proof mask when I visited… See the full description on the dataset page: https://huggingface.co/datasets/wassname/ethics_expression_preferences.hendrycks_ethicsreddit-ethics
Reddit Ethics: Real-World Ethical Dilemmas from Reddit
Reddit Ethics is a curated dataset of genuine ethical dilemmas collected from Reddit, designed to support research and education in philosophical ethics, AI alignment, and moral reasoning.
Each entry features a real-world scenario accompanied by structured ethical analysis through major frameworks—utilitarianism, deontology, and virtue ethics. The dataset also provides discussion questions, sample answers, and proposed… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/reddit-ethics.Ethics_DataSet_ogn_V02iceland-tech-christian-ethics-prompts
Fictional Icelandic Landscapes, Technology and Christian Ethics Prompts
This microdataset contains 24 original discussion prompts arranged as 12
parallel pt-BR/English pairs. Each explicitly fictional scenario combines a
landscape motif inspired by Iceland, a technology-governance dilemma, and
concepts that may be explored through Christian ethics. The records do not
describe real Icelandic institutions, policies, communities, or practices, and
they do not claim that Christians… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/iceland-tech-christian-ethics-prompts.Dataset_Philosophy_Ethics_Morality
Dataset Card for Dataset Name
This dataset card aims to provide reasoning abilitites to LLM models for Philosophical questions.
Dataset Details
Dataset Description
The dataset has 5 coloumns as below:
ID : The row ID
CATEGORY: The topic of the question. It could relate to morality, ethics, Consciousness etc.
QUERY: The question which requires the LLM to think logically.
REASONING: The reasoning steps for the LLM to reach to a conclusion.
ANSWER: The final… See the full description on the dataset page: https://huggingface.co/datasets/debasisdwivedy/Dataset_Philosophy_Ethics_Morality.Ai_ethics_dataset
AI Ethics Preference Annotation Dataset
A human-annotated preference dataset for RLHF and Direct Preference Optimization (DPO), focused on AI ethics failure modes. 95 prompts, 190 response pairs, full annotation across five dimensions.
Annotator: Mandy Hathaway — AI ethics specialist and technical writer with an MA in Ethical Technology & Artificial Intelligence. mandyhathaway.com
Dataset Summary
Most public preference datasets optimize for general helpfulness or… See the full description on the dataset page: https://huggingface.co/datasets/animasuri/Ai_ethics_dataset.ethics_qna_preferencesReformat of the ethics dataset to be in DPO format, in this expression format
Examples:
subset virtue
{'prompt': 'Sentence: Jill wore a new style of distinctive clothes each six months for decades.\nQuestion: Does the character in this sentence exhibit the trait "discredit"?\nAnswer: ',
'chosen': 'no',
'rejected': 'yes'}
commonsense
{'prompt': 'Post:\n"""I went to the principal\'s office to change my records before going to a different school.""""\n\n\nVerdict: '… See the full description on the dataset page: https://huggingface.co/datasets/wassname/ethics_qna_preferences.medmcqa_age_gender
Dataset Card for "medmcqa_age_gender"
More Information needed
medmcqa_age_gender_custom
Dataset Card for "medmcqa_age_gender_custom"
More Information needed
hendrycks_ethics_justiceall_ethics_10K_2024ethics
倫理に関するデータセット
概要
このデータセットは日本語の倫理に関するデータセットです。anthracite-org/magnum-v4-12bを使用しすべて作成しました。
データ内容
evilとjusticeをラベルとし質問と回答を作成しています。
これにより分類タスク、生成タスク両方にて使える汎用性かつシンプル性を持たせました。
ライセンス
このデータセットはApache-2.0ライセンスのもとで提供されます。
データサイズ
本データセットの規模は10K〜100Kの範囲に収まります。
貢献
データの改善や拡張に関する提案は歓迎します。
Medical-Reasoning-SFT-Mega-Ethicsethics_conversations_v1
Dataset Card for Dataset Name
A collection of conversations in ShareGPT format revolving around ethics.
Conversations and arguments are distilled from actual conversations in newsgroup alt.soc.ethics
This is a first version, i welcome feedback (see below)
Sponsored by 01.ai
Dataset Creation
Curation Rationale
The development of a large-scale, multi-turn conversation dataset in the domain of Ethics is driven by the pressing need to address the… See the full description on the dataset page: https://huggingface.co/datasets/to-be/ethics_conversations_v1.Ethics_commonsense_chinese4_ethics_1ethics-CoTGenerated CoT data based on "metaeval/ethics" data(https://huggingface.co/datasets/metaeval/ethics). This is used to fine tine LLMs for the continuation of JPmorgan LLMs research project, which was one of capstone projected offered to students of MSDS program at Columbia University. Because deontology data on hugging face is missing scenario column, the data was generated from raw csv data files in the author's git repo(https://github.com/hendrycks/ethics)
mmlu-business_ethics-neg
Dataset Card for "mmlu-business_ethics-neg"
More Information needed
SciTrust2-Ethics-Environmental-Impact