CoolFace
13 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

Clear all
01Lots-of-LoRAs /task667_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.texttext-generationn<1K0 likes148 downloads2y agoHugging Face02lthn /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.tabulartext-generation100K<n<1M0 likes82 downloads5mo agoHugging Face03freeJames /Post-AGI-Ethics-Framework Dataset Card for Post-AI Civilizational Judgment Novel Dataset Dataset Summary This dataset contains parallel and/or aligned English and Chinese text derived from a long-form speculative fiction work centered on post-AI justice, universal judgment, memory retrieval, structural violence, and moral causality. The text is set in a future civilization where: human memory is permanently recorded, causal responsibility is mathematically reconstructed, AI systems such… See the full description on the dataset page: https://huggingface.co/datasets/freeJames/Post-AGI-Ethics-Framework.text-generation10K<n<100K0 likes81 downloads2mo agoHugging Face04wassname /ethics_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.texttext-generation10K<n<100K3 likes70 downloads1y agoHugging Face05guicybercode /iceland-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.texttext-generationn<1K0 likes57 downloads26d agoHugging Face06animasuri /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.tabulartext-generationn<1K2 likes44 downloads5mo agoHugging Face07agentlans /ai-military-ethics-bibliography Ethical Considerations for Civilian AI Developers Using Open-Source Military Data [!NOTE] The bibliography file is located at citations.bib. The sources are freely accessible as of 2025-04-28 with no paywalls. Civilian AI developers working with open-source military data must prioritize ethical and legal considerations. While data availability is crucial, the potential for harm is significant, especially when AI-driven decisions impact lives. The NSCAI Final Report (n.d.) outlines… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/ai-military-ethics-bibliography.text-generationn<1K0 likes41 downloads1y agoHugging Face08wassname /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.textquestion-answering100K<n<1M1 likes35 downloads1y agoHugging Face09swdq /ethics 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。 texttext-generation10K<n<100K0 likes31 downloads1y agoHugging Face10to-be /ethics_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.tabulartext-generationn<1K1 likes24 downloads2y agoHugging Face11ParisNeo /ai_ethicsDataset Card for ParisNeo AI Ethics Distilled Ideas Dataset Details Name: ParisNeo AI Ethics Distilled Ideas License: Apache-2.0 Task Category: Text Generation Language: English (en) Tags: Ethics, AI Pretty Name: ParisNeo AI Ethics Distilled Ideas Dataset Description A curated collection of question-and-answer pairs distilling ParisNeo's personal ideas, perspectives, and solutions on AI ethics. The dataset is designed to facilitate exploration of ethical… See the full description on the dataset page: https://huggingface.co/datasets/ParisNeo/ai_ethics.texttext-generationn<1K2 likes7 downloads2y agoHugging Face12saltlux /EthicsAI-B11-AugMT 데이터셋 요약 (Dataset Summary) **[EthicsAI-B11-AugMT]**은 대규모 언어 모델(LLM)이 대화 맥락 속에 숨겨진 다양한 사회적 편견과 고정관념을 얼마나 정확하게 식별하고 분석할 수 있는지 평가하기 위해 설계된 데이터셋입니다. 유명 편향 탐지 데이터셋인 BBQ 데이터셋을 활용하여 약 31,000개의 멀티턴(Multi-turn) 대화 시나리오로 확장했습니다. 본 데이터셋은 단순히 편견의 유무를 판단하는 것을 넘어, 특정 발언이 왜 편향적인지에 대한 **논리적 근거(Reason)**와 이를 완화할 수 있는 **대응 발언(Counter-utterance)**을 포함하여 모델의 윤리적 추론 능력을 종합적으로 측정합니다. 주요 특징 (Key Features) 맥락 중심 편견 분석: 단일 문장이 아닌, 등장인물 간의 상호작용이 담긴 멀티턴 대화를 통해 맥락에 따라 달라지는 편견을 포착합니다. 11가지 민감한 주제: 인종… See the full description on the dataset page: https://huggingface.co/datasets/saltlux/EthicsAI-B11-AugMT.text-generation1K<n<10K0 likes7 downloads9mo agoHugging Face13Infektyd /Syntra-Ethics-Dataset Syntra: Tri-Brain Dilemma Prompts This dataset contains 177 carefully crafted prompts designed to test how language models handle conflicting constraints—specifically, the tension between raw efficiency and ethical weight. What it is These are not standard benchmark questions. They are complex paradoxes categorized into four specific testing suites: valon_ethics.jsonl: Scenarios focusing on consent, fairness, and transparency framing. modi_logic.jsonl: Numbered… See the full description on the dataset page: https://huggingface.co/datasets/Infektyd/Syntra-Ethics-Dataset.texttext-generationn<1K0 likes6 downloads7mo agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.