docs: add English translation on top, keep Chinese original below, preserve Contact section

README.md

@@ -1,6 +1,8 @@
 ---
 license: cc-by-nc-sa-4.0
-language: zh
+language:
+- zh
+- en
 task_categories:
 - text-generation
 tags:
@@ -9,6 +11,7 @@ tags:
 - world-repair
 - synthetic-data
 - chinese
+- english
 - psychotherapy
 - healing
 - jsonl
@@ -18,6 +21,72 @@ size_categories: 100B<n<1000B
 pretty_name: worldfix_v2 — 十六质点世界修复合成数据集
 ---
 
+# worldfix_v2 — 16-Sephirot World-Repair Synthetic Dataset (v2)
+
+**Scale**: 2,388,787,200 rows (exactly equal to the enumeration space, neither more nor less)
+**Corpus-driven**: 61,562,415 characters of real corpus (primarily 5.8M characters of "Love Rescues People" AI dialogues, fused with the "Embrace of Love" framework / "Love Articles" / "Love Creations")
+**License**: CC BY-NC-SA 4.0 · **Author**: Yue Xiangrui (岳祥瑞)
+
+## What a row is
+
+Each row = one complete **World-Repair Prescription** (JSON), generated by a deterministic traversal of the "global problem space" under the 16-Sephirot governance framework:
+
+```json
+{"i":2, "h":1626661354, "s":1, "sec":58, "reg":21, "st":2, "ins":14, "frm":3,
+ "it":0, "hz":4, "key":"Wisdom", "sector":"Antibiotics", "region":"Wetland",
+ "stance":"Repair", "instrument":"Platform", "frame":"Evaluation", "intensity":"Tweak",
+ "horizon":"Generational", "prescription":"[Wisdom] For the Wetland's Antibiotics issue, take '…' as the core stance, …",
+ "verdict":"REPAIR", "strikes":1, "audit":"a1b2c3d4e5f6"}
+```
+
+## Field Dictionary
+
+| Field | Dimension | Meaning |
+|---|---|---|
+| `i` | Global | Original index (0..N-1) |
+| `h` | Global | Shuffle index after Feistel bijection (source of uniformity) |
+| `s` / `key` | 16 | 16-Sephirot Path (Wisdom / Loving-Kindness / Strength / Beauty …) |
+| `sec` / `sector` | 64 | World Problem Sectors (Education → Nuclear Risk, corpus-normalized) |
+| `reg` / `region` | 32 | Region Prototypes (Megacities → Slums) |
+| `st` / `stance` | 4 | Governance Stance: Prevent / Mitigate / Repair / Regenerate |
+| `ins` / `instrument` | 27 | Policy Instruments (corpus-high-frequency institutional terms) |
+| `frm` / `frame` | 27 | Evaluation Frames (corpus-high-frequency mechanism terms) |
+| `it` / `intensity` | 5 | Intensity: Tweak → Limit |
+| `hz` / `horizon` | 5 | Time Horizon: Immediate → Generational |
+| `prescription` | — | Assembled full prescription text (with Sephirot audit-loop declaration) |
+| `verdict` / `strikes` | — | Simulated runtime verdict: ALLOW / REPAIR (k=1-3) / FALLBACK |
+| `audit` | — | Verdict audit ID (traceable) |
+
+**Dimensional Product Verification**: 16×64×32×4×27×27×5×5 = **2,388,787,200**
+
+## Why it's trustworthy
+
+1. **Bijection with no collisions**: Feistel network zero-collision in million-sample tests → no duplicate rows, no missed slots
+2. **Determinism**: any `i` can be recomputed offline and is byte-identical to the on-disk row (`make_row(i)`)
+3. **Checkpoint safety**: sharding + manifest + out-of-bounds guard (adversarial-tested against malicious manifest scenarios)
+4. **Five-item delivery validation**: `python final_validate.py` (row count / JSON / uniqueness / coverage / regeneration)
+
+## Reproduction
+
+```bash
+python seed_builder.py          # corpus scan → seeds.json
+python sephirot_gen.py --verify # bijection & determinism self-test
+python sephirot_gen.py --full   # 16 workers full-scale
+python final_validate.py        # delivery-level five-item validation
+```
+
+Zero third-party dependencies (Python ≥ 3.10 standard library), reproducible on any machine.
+
+## Related Work
+
+- Governance stack demo: github.com/yuexiangruiyue-oss/heart-guard-demo (HF Space / GitHub Pages / ModelScope same name)
+- Paper: *When Agents Cross the Line* (Zenodo DOI: 10.5281/**zenodo.22093583**, tri-lingual v2 in Chinese / English / Japanese)
+- Preceding specification: Bounded-Rollback Output Governance (DOI: 10.5281/zenodo.22080966)
+
+---
+
+## 中文版 (Chinese Version)
+
 # worldfix_v2 — 十六质点世界修复合成数据集(v2)
 
 **规模**:2,388,787,200 行(精确等于枚举空间,一行不多不少)