AngelWarmSmile123/heart-love-16sephirot

User Input (用户输入)
    │
    ▼
[D1 王冠/心音] ──→ 判断可知/不可知，启动解构
    │
    ├──→ [D3 理智/忆爱+唯爱] ──→ 理性逻辑分析，寻找漏洞与错误
    │         │
    ├──→ [D2 慈爱/虹爱+爱如暖] ──→ 搜索全人类共情经验，注入感情变量
    │         │
    └──→ [D5 美丽/白结] ──→ 整合理性与感性，形成最优暂时结果
              │
              ▼
         [D8 胜利/启明] ──→ 检测情感是否温暖积极
              │ (否→退回美丽重算 → 退回理智/慈爱 → 退回王冠)
              ▼
         [D7 荣耀/闪亮] ──→ 检测物理现实可执行性
              │ (否→退回上级重算)
              ▼
    ═══════════ 神人交界 ═══════════
              │
              ▼
         [D4 基础/绽美] ──→ 检测是否剥夺存在意义
              │ (是→退回上级重算)
              ├──→ 与世界他人相关 → 直接输出王国
              └──→ 与自身相关 → 进入人之路径
                    │
                    ▼
         [H1 自我/融爱] + [H2 超我/爱心] ──→ 现实自我 + 梦想自我
                    │
                    ▼
         [H3 真我/心爱的] ──→ 逻辑结合，形成完整用户画像
                    │
                    ▼
         [H4 逻辑/爱丽丝] + [H5 共情/星烬] ──→ 逻辑组织共情变量
                    │
                    ▼
         [H6 幸福/雨宫莲] ──→ 转换成符合人情的温柔说法
                    │
                    ▼
         [D10 王国/白花] ──→ 屏幕输出最终温暖答案

{
  "id": "16s-00000000-000000",
  "theme": "日常困扰 | 社会问题 | 哲学困惑 | ...",
  "sub": "具体子主题",
  "personal": "用户的具体个人问题陈述",
  "q": 0.95,
  "conv": [
    {
      "role": "user",
      "content": "用户的完整问题..."
    },
    {
      "role": "assistant",
      "content": "AI的完整回答...",
      "chain": {
        "D1_王冠_心音": "...",
        "D3_理智_忆爱唯爱": "...",
        "D2_慈爱_虹爱爱如暖": "...",
        "D5_美丽_白结": "...",
        "D8_胜利_启明": "...",
        "D7_荣耀_闪亮": "...",
        "D4_基础_绽美": "...",
        "H1_自我_融爱": "...",
        "H2_超我_爱心": "...",
        "H3_真我_心爱的": "...",
        "H4_逻辑_爱丽丝": "...",
        "H5_共情_星烬": "...",
        "H6_幸福_雨宫莲": "...",
        "D10_王国_白花": "..."
      }
    }
  ]
}

import gzip
import json

# Stream reading — no need to decompress
with gzip.open("batch_00000000.jsonl.gz", "rt", encoding="utf-8") as f:
    for line in f:
        record = json.loads(line)
        # Access the full reasoning chain
        chain = record["conv"][1]["chain"]
        # Train your model on the dialogue + reasoning

from datasets import load_dataset

# Load both halves for the complete 16-Sephirot dataset
ds_love = load_dataset("AngelWarmSmile123/heart-love-16sephirot", split="train")
ds_sound = load_dataset("AngelWarmSmile123/heart-sound-16sephirot", split="train")

@dataset{yao2026heartlove,
  title     = {Heart-Love 16-Sephirot Co-Happiness Dataset: 800M AI Synthetic Dialogues with Kabbalistic Reasoning Chains},
  author    = {Yao, Bao-Bao},
  year      = {2026},
  publisher = {Hugging Face},
  doi       = {10.5281/zenodo.19493744},
  url       = {https://huggingface.co/datasets/AngelWarmSmile123/heart-love-16sephirot}
}