高度稀缺个人原创AI大模型训练微调数据集:多份本人个人原创理论作品精选(覆盖系统架构、认知方法、创作确权、AI进化、星际工程),附实测效果数据,权属清晰已获国家认证,提供10万字免费商用
收藏魔搭社区2026-05-15 更新2026-05-03 收录
下载链接:
https://modelscope.cn/datasets/abc1966916677/Highly-Scarce-Original-Personal-AI-Training-Fine-tuning-Dataset
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资源简介:
本数据集为自然人创作者皇清华于2026年独立创作完成的原创理论体系精选合集,共收录9份原创方案的精华内容,约10万字,覆盖认知科学、人机交互、思维训练、心理学、决策科学、知识产权、数据产权、法律改革、人工智能、机器学习、AI工程化、数据处理、模型训练、模型优化、算力经济学、系统工程、文明理论、未来学、航天工程、星际开发、工业制造、文学创作、创意写作等多个领域。核心方案包括:认知方法论《循环登高思维V7.0》(人机协同元认知操作系统,提出“先假设成功,再返回,再假设,再返回,循环往复”的核心方法论)、决策训练工具《硬币三问·王者之心训练法》(通过三层递进式自省流程快速捕捉主见的辅助训练法)、制度设计方案《思想过程确权方案》(国家级创作过程保护制度提案,提出“过程即证据”的核心理念与“六个必须”制度基石)、AI进化理论《AI等级划分与三级跃迁指南》(五级进化框架,定义从搜索引擎到人机融合的完整路径,明确三级AI反思智能体为当前唯一可实现的质变点)、工程实施方案《AI等级进化与三级跃迁之工程实施架构书》(六大核心机制,包含五级进化框架、完整打包机制、三套闸门串行筛选、六维价值评分、五类窗口策略绑定、暗标去重回溯采集,从理论到落地)、轻量化优化方案《大模型轻量化释压方案》(基于冷数据释压机制与2+1端口的存储与计算分离工程方案,实现AI在持续变强的同时保持轻量运行)、星际工程方案《月球火种计划:野人文明迭代版》(以极限成本和概率迭代实现地外工业自我复制,提出“越便宜越好,便宜到扔一万个不心疼”的工程哲学)、系统整合方案《智慧文明操作系统:六大飞轮驱动文明进化》(将六份独立方案整合为统一星际文明生态系统,六大飞轮首尾相接形成闭环)、创作轨迹演绎小说《从出租屋到万亿理论小说》(以作者真实经历为原型的科幻现实主义作品,记录从灵感乍现到完整理论体系的诞生历程)。经实测验证,使用72B千问开源大模型进行训练,基座模型得分65分,加入20万成品数据(含本数据集10万)后微调提升至80分,可超越多数同代模型并媲美200至300B等更大规模基座,追加2000万完整创作过程数据后微调进一步提升至90分,逼近当前第一梯队旗舰模型(约95分),测试内容涵盖GDP批判、碳排放设计、变成人类、教育改革、跨领域融合、癌症传染病方向、AI未来等十余篇跨领域文章,效果真实可自行复现。本数据集采用Apache License 2.0协议发布,允许免费商用,可用于商业大模型的预训练、微调、RLHF等任何训练场景,可自由修改与分发,需保留原始版权声明,但禁止将原创文字直接复制、出版或作为独立作品二次传播,如需出版或改编请单独联系作者获取授权。数据集已获国家可信时间戳版权认证(证书编号TSA-11-20260426159415665),已通过江苏省数据知识产权登记系统提交登记申请,权属清晰可查,作者本人保留完整著作权。本数据集为正式授权前的免费公开发布版本,如测试后认可数据效果,另有完整版数据包可供深度合作,包括:另10万字成品(补全至总计20万字)、约2000万创作过程数据(全量17份方案从构思、试错、修改到定稿的完整人机推演记录,原生态对话流,未经筛选,是目前已知唯一一份个人全维度思维链语料)、约3000万创作过程数据全量包(含AI思维链),有意向可洽谈。作品可公开检索,部分作品已发布至CSDN知乎等平台
This dataset is a curated collection of original theoretical systems independently created by individual creator Huang Qinghua in 2026. It includes the essence of 9 original proposals, totaling approximately 100,000 words, covering multiple fields such as cognitive science, human-computer interaction, thinking training, psychology, decision science, intellectual property, data property rights, legal reform, artificial intelligence, machine learning, AI engineering, data processing, model training, model optimization, computing power economics, systems engineering, civilization theory, futurology, aerospace engineering, interstellar development, industrial manufacturing, literary creation, and creative writing. The core proposals include: the cognitive methodology "Circular Ascent Thinking V7.0" (a human-computer collaborative metacognitive operating system that proposes the core methodology of "first assume success, then reflect back, then re-assume, then reflect back, repeating the cycle"); the decision-making training tool "Coin Three Questions · King's Heart Training Method" (an auxiliary training method that quickly captures independent opinions through a three-layer progressive self-reflection process); the institutional design plan "Intellectual Property Confirmation Plan for Thought Processes" (a national-level proposal for a creation process protection system, putting forward the core concept of "process is evidence" and the "Six Musts" institutional cornerstones); the AI evolution theory "AI Classification and Three-Stage Transition Guide" (a five-level evolution framework that defines the complete path from search engines to human-computer integration, and clarifies that the three-level AI reflective agent is currently the only achievable inflection point for qualitative change); the engineering implementation plan "Engineering Implementation Framework for AI Level Evolution and Three-Stage Transition" (six core mechanisms, including the five-level evolution framework, complete packaging mechanism, three-gate serial screening, six-dimensional value scoring, five types of window strategy binding, and dark mark deduplication retrospective collection, covering from theory to implementation); the lightweight optimization plan "Large Model Lightweight Pressure Relief Plan" (an engineering solution for storage and computing separation based on cold data pressure relief mechanism and 2+1 ports, enabling AI to maintain lightweight operation while continuously improving its capabilities); the interstellar engineering plan "Lunar Fire Program: Savage Civilization Iteration Version" (realizing extraterrestrial industrial self-replication through iteration with extreme cost and probability, and putting forward the engineering philosophy of "the cheaper the better, so cheap that throwing ten thousand of them is not distressing"); the system integration plan "Intelligent Civilization Operating System: Six Flywheels Driving Civilization Evolution" (integrating six independent proposals into a unified interstellar civilization ecosystem, with the six flywheels connected end to end to form a closed loop); and the creative trajectory deduction novel "From Rental House to Trillion-Yuan Theory Novel" (a sci-fi realist work based on the author's real experience, recording the birth process from the spark of inspiration to the complete theoretical system). Through actual testing, when trained using the 72B Qianwen open-source large language model, the base model scored 65 points. After fine-tuning with 200,000 finished data samples (including 100,000 from this dataset), the score increased to 80 points, surpassing most contemporary models and matching larger base models ranging from 200B to 300B. After adding 20 million complete creation process data samples for further fine-tuning, the score rose to 90 points, approaching the current first-tier flagship models (around 95 points). The test content covers more than ten cross-disciplinary articles including GDP critique, carbon emission design, becoming human, education reform, cross-domain integration, cancer and infectious disease directions, AI future, etc. The effect is real and can be reproduced independently. This dataset is released under the Apache License 2.0, allowing free commercial use. It can be used for any training scenarios of commercial large language models, such as pre-training, fine-tuning, RLHF, etc. It can be freely modified and distributed, provided that the original copyright notice is retained. However, direct copying, publication, or secondary dissemination of the original text as an independent work is prohibited. For publication or adaptation, please contact the author separately to obtain authorization. This dataset has obtained national trusted timestamp copyright certification (certificate number: TSA-11-20260426159415665), and has submitted a registration application through the Jiangsu Provincial Data Intellectual Property Registration System. The ownership is clear and traceable, and the author retains all copyrights. This dataset is a free public release version prior to formal authorization. If you recognize the data effect after testing, there are complete version data packages available for in-depth cooperation, including: an additional 100,000 words of finished content (totaling 200,000 words when completed), approximately 20 million creation process data samples (complete man-machine deduction records of all 17 proposals from conception, trial and error, modification to finalization, original dialogue flow, unscreened, which is currently the only known personal full-dimensional thinking chain corpus), and approximately 30 million complete creation process data packages (including AI thinking chains). Those interested can negotiate cooperation. The works are publicly retrievable, and some have been published on platforms such as CSDN and Zhihu.
提供机构:
maas
创建时间:
2026-04-29
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个高度稀缺的个人原创AI大模型训练微调资源,包含作者黄庆华在2026年独立创作的约10万中文字符理论作品精选,覆盖认知方法、AI进化、星际工程等多个前沿领域。数据集遵循Apache 2.0许可,允许免费商用,并已获得国家版权认证,经实测能有效提升基础模型的深度推理能力。
以上内容由遇见数据集搜集并总结生成



