Talegorithm f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
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input f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
knowledge f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
methodology f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
runs f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
sft f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
README.md f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
analysis_results.json f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
analyze_samples.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
generate_report.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
read_all_files.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
read_samples.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
read_txt_files.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
run.py f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
samples_data.json f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
test.prompt f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
一周执行计划.md f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu
拆解示例_大奉打更人第1-2章.md f44bf24485 refactor: move interactive menu to agent/cli 3 hari lalu

README.md

故事逆向拆解方法论研究

项目目标

将优质故事逆向拆解成AI可学习的思考步骤,用于训练长篇叙事Agent系统。

目录结构

  • input/ - 输入的优质故事样本(网络小说、电影剧本、短剧剧本)
  • knowledge/ - 调研收集的理论知识和方法论
  • output/ - 拆解后的示例和训练数据
  • methodology/ - 确定的方法论文档

研究进度

  • 理论调研
  • 方法论确定
  • 样本拆解
  • 训练数据生成