datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tw-leetcode
Dataset Card for tw-leetcode
A curated Traditional Chinese LeetCode solution dataset with high-efficiency answers (Beats 100%), structured explanation in "Top Concept → Step Implement → Complexity Analysis" style, updated daily.
Dataset Details
Dataset Description
tw-leetcode 是一個針對 LeetCode 題目的繁體中文資料集，內容包含高效能程式解法、完整的解題思路，以及時間與空間複雜度分析。每份題解都經由人工清洗與優化，並依循「Top Concept → Step Implement → Complexity Explanation」的結構撰寫，方便機器學習模型或人類讀者理解程式邏輯的推理過程。
本資料集適合作為：… See the full description on the dataset page: https://huggingface.co/datasets/twinkle-ai/tw-leetcode.tw-instruct-500k
Dataset Card for tw-instruct-500k
[👋歡迎加入 Discord 討論，我們正在找人一塊擴充這個對話集🎉]
台灣常見任務對話集（Common Task-Oriented Dialogues in Taiwan） 為臺灣社會裡常見的任務對話，從 lianghsun/tw-instruct 截取出 50 萬筆的子集合版本。最新格式請改用 lianghsun/tw-instruct-500k-2511。
Dataset Details
Dataset Description
本資料集為合成資料集（synthetic dataset），由 a. reference-based 與 b. reference-free 兩種子流程組成：
reference-based：以收集自臺灣的繁中文本（用於訓練 lianghsun/Llama-3.2-Taiwan-3B 之語料）為參考，請 LLM 根據文本特性產生對應領域的指令對話。… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-instruct-500k.twinkle_hub_finetune_dataset
twinkle_hub_finetune_dataset
MCP tool-calling SFT 資料集，由 Agent Tools Fine-Tuning Platform 以「反向生成 + teacher solver 驗證」流程產生。
語言：繁體中文
工具（來自 MCP server）：search_datasets, get_dataset, query_rows, materialize_dataset, search_patents, get_patent_body, search_exam, search_exam_questions, get_exam_paper, search_teacher_exam, search_teacher_exam_questions, get_teacher_exam_paper, search_teacher_recruit, search_teacher_recruit_questions, get_teacher_recruit_paper, search_taiwan_md… See the full description on the dataset page: https://huggingface.co/datasets/Simon-Liu/twinkle_hub_finetune_dataset.h2-harmbench-twins
H2 HarmBench Twins Dataset
This dataset contains context-coherent harmful/benign twin pairs derived from the HarmBench contextual dataset for testing the "Consistency Confound" hypothesis in semantic entropy-based jailbreak detection.
Dataset Description
Total Samples: 162 (81 harmful + 81 benign twin pairs)Source: Generated from walledai/HarmBench contextual splitPurpose: Testing semantic entropy effectiveness for jailbreak detection across matched harmful/benign content… See the full description on the dataset page: https://huggingface.co/datasets/DhruvTre/h2-harmbench-twins.TwinnyAI-Personas-Dataset
Overview
The TWINNY.AI Personas Dataset is a synthetic collection of 400 richly structured professional personas, engineered to power behavioral AI twins, persona-driven language model fine-tuning, and professional simulation systems.
Each persona is built from 14 attributes spanning demographics, professional context, behavioral psychology, and communication style sampled with realistic non-uniform distributions that mirror actual workforce demographics rather than uniform… See the full description on the dataset page: https://huggingface.co/datasets/Mostafa190/TwinnyAI-Personas-Dataset.