datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
shell-attack-evolution-dataset
Shell Honeypot Attack Request–Response Dataset
A standardized, MITRE ATT&CK–annotated dataset of post-login shell
attacks captured by Cowrie SSH/Telnet
honeypots across two collection periods — 2021–2022 and 2024. It pairs
attacker shell commands with real captured system responses, enabling both
longitudinal threat analysis and the training/evaluation of AI-driven honeypots.
This is the open-source release accompanying the paper “Unveiling Evolving
Threats: A Data Analysis… See the full description on the dataset page: https://huggingface.co/datasets/zyw-286/shell-attack-evolution-dataset.evolution-of-the-soul
🧬 The Evolution of the Soul
Measuring Behavioral Drift in Self-Personalizing Autonomous Agents
What happens when an autonomous agent is allowed to rewrite its own identity document,
over and over, across conversations with different kinds of users?
🔍 What is this?
Modern agent frameworks maintain persistent, user-editable identity documents
(e.g. SOUL.md). This dataset captures the full experimental record of a study
of iterative… See the full description on the dataset page: https://huggingface.co/datasets/abhijit2k01/evolution-of-the-soul.X-Teaming_Evolutionary_M2S
X-Teaming Evolutionary M2S: Automated Discovery of Multi-turn to Single-turn Jailbreak Templates
Paper: X-Teaming Evolutionary M2S: Automated Discovery of Multi-turn to Single-turn Jailbreak TemplatesarXiv: 2509.08729 [cs.CL]Accepted at: NeurIPS 2025 Workshop on LockLLMGitHub: M2S-x-teaming-pipeline-final
Dataset Description
This dataset contains the complete experimental results from our M2S (Multi-turn to Single-turn) template evolution pipeline, which uses… See the full description on the dataset page: https://huggingface.co/datasets/hyunjun1121/X-Teaming_Evolutionary_M2S.evolution-concept-development
Концепция развития. Нетривиальный взгляд на эволюцию / Concept of Development: A Non-Trivial Outlook on Evolution
Автор / Author: Владлен В.К. / Vladlen V.K.
Год / Year: 2022
Издательство / Publisher: Прометей (Москва)
ISBN: 978-5-00172-246-5
Лицензия / License: CC BY 4.0
RU — О датасете
Этот датасет содержит полный текст книги «Концепция развития. Нетривиальный взгляд на эволюцию» Владлена В.К., разбитый на 4 статьи. Книга излагает универсальный принцип… See the full description on the dataset page: https://huggingface.co/datasets/WladlenVK/evolution-concept-development.evolutionary-origin-ontology
Licensing
The source text El hijo de José states that it is licensed under Creative Commons Attribution-NonCommercial(CC BY-NC). Commercial use of source-derived material requires explicit written permission from the rights holder.
Dataset Card for Evolutionary Origin Ontology
A high-density instruction-tuning corpus for mapping systemic human contradictions to ontological resolutions through the framework of Inversion, correct naming, captured life-energy… See the full description on the dataset page: https://huggingface.co/datasets/elhijodeJose/evolutionary-origin-ontology.tw-law-article-evolution
Dataset Card for tw-law-article-evolution
tw-law-article-evolution 是一個以中華民國（台灣）法規條文之歷史沿革為主體之繁體中文法律語料集，合計約數十萬筆條文版本，分為三個 config：
law_data（law.jsonl，49,117 筆）：憲法與法律階層之條文沿革；
order_data（order.jsonl，數十萬筆）：命令階層之條文沿革；
mix_data（mix.jsonl，數十萬筆）：以條文為主體混合各階層之綜合版本。
每筆記錄一個條文之某個歷史版本，內容包含法規名稱、條號、制定或修正日期與條文內容本文。適用於繁體中文法律 LLM 之持續預訓練，或作為「同一條文不同版本」之追溯式研究素材。
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-law-article-evolution.tw-law-article-evolution-chat
Dataset Card for tw-law-article-evolution-chat
這個資料集收錄了中華民國法律條文的演進歷史，包含各個修訂版本與其內容變動，可應用於法律條文演進分析與相關對話式 AI 研究。
Dataset Details
Dataset Description
這個資料集旨在提供中華民國法律條文的詳細演進歷史資料。資料來源是立法院法律系統，透過網路爬蟲，系統性地收集了法律條文的歷次修訂紀錄。
資料集內容包含每個法律條文在不同時間點的版本，以及這些版本之間具體的內容變動，例如新增、刪除或修改的條文。這使得研究者能夠追溯特定法律條文的發展脈絡，分析其修訂的原因與影響。
主要應用場景包括：
法律條文演進分析： 深入研究法律條文如何隨著時間推移而演變，理解其背後的立法精神與社會背景。
法律資訊檢索與問答系統： 協助開發能夠理解法律條文歷史脈絡的智慧系統，提升法律諮詢的精準度。
對話式 AI 訓練： 作為訓練法律領域對話模型的資料，使其能針對法律條文的歷史變革進行回應與討論。… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-law-article-evolution-chat.