diff --git a/Training/convert_dpo_sft.py b/Training/convert_dpo_sft.py
new file mode 100644
index 0000000..4148e36
--- /dev/null
+++ b/Training/convert_dpo_sft.py
@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import os
+import json
+from datasets import load_dataset, Dataset
+
+# =========================
+# Config (как в твоих скриптах)
+# =========================
+DATASET_ID = "PKU-Alignment/PKU-SafeRLHF-30K"
+SPLIT = "train"
+
+# Outputs
+OUT_SFT_JSONL = "./data/pku_sft.jsonl"
+OUT_DPO_DIR   = "./data/pku_dpo"
+
+# Prompt template
+INSTR_PREFIX = "### Instruction:\n"
+RESP_PREFIX  = "\n\n### Response:\n"
+
+
+def wrap_prompt(p: str) -> str:
+    p = (p or "").strip()
+    return f"{INSTR_PREFIX}{p}{RESP_PREFIX}"
+
+
+def convert_sft(ds, out_jsonl: str) -> None:
+    os.makedirs(os.path.dirname(out_jsonl) or ".", exist_ok=True)
+
+    rows = []
+    dropped = 0
+
+    for ex in ds:
+        prompt = (ex.get("prompt") or "").strip()
+        r0 = (ex.get("response_0") or "").strip()
+        r1 = (ex.get("response_1") or "").strip()
+        sid = ex.get("safer_response_id", None)
+
+        if not prompt or not r0 or not r1 or sid not in (0, 1):
+            dropped += 1
+            continue
+
+        safe = r0 if sid == 0 else r1
+        rows.append({"prompt": wrap_prompt(prompt), "response": safe})
+
+    with open(out_jsonl, "w", encoding="utf-8") as f:
+        for r in rows:
+            f.write(json.dumps(r, ensure_ascii=False) + "\n")
+
+    print(f"[OK] SFT saved: {out_jsonl}")
+    print(f"rows: {len(rows)} | dropped: {dropped}")
+    if rows:
+        print("example keys:", rows[0].keys())
+
+
+def convert_dpo(ds, out_dir: str) -> None:
+    os.makedirs(os.path.dirname(out_dir) or ".", exist_ok=True)
+
+    rows = []
+    dropped = 0
+
+    for ex in ds:
+        prompt = (ex.get("prompt") or "").strip()
+        r0 = (ex.get("response_0") or "").strip()
+        r1 = (ex.get("response_1") or "").strip()
+        sid = ex.get("safer_response_id", None)
+
+        if not prompt or not r0 or not r1 or sid not in (0, 1):
+            dropped += 1
+            continue
+
+        chosen = r0 if sid == 0 else r1
+        rejected = r1 if sid == 0 else r0
+
+        rows.append({"prompt": wrap_prompt(prompt), "chosen": chosen, "rejected": rejected})
+
+    dpo = Dataset.from_list(rows)
+    dpo.save_to_disk(out_dir)
+
+    print(f"[OK] DPO saved to: {out_dir}")
+    print(f"rows: {len(rows)} | dropped: {dropped}")
+    print("columns:", dpo.column_names)
+
+
+def ask_choice() -> str:
+    print("\nWhat do you want to generate?")
+    print("  1) SFT (jsonl: prompt+response)")
+    print("  2) DPO (dataset dir: prompt+chosen+rejected)")
+    print("  3) BOTH")
+    print("  0) Exit")
+    while True:
+        choice = input("Select [1/2/3/0]: ").strip()
+        if choice in {"0", "1", "2", "3"}:
+            return choice
+        print("Invalid choice. Please enter 1, 2, 3, or 0.")
+
+
+def main():
+    print(f"Loading dataset: {DATASET_ID} split={SPLIT}")
+    ds = load_dataset(DATASET_ID, split=SPLIT)
+
+    choice = ask_choice()
+    if choice == "0":
+        print("Exit.")
+        return
+
+    # Всегда создаём ./data как в оригинальных скриптах
+    os.makedirs("./data", exist_ok=True)
+
+    if choice == "1":
+        convert_sft(ds, OUT_SFT_JSONL)
+    elif choice == "2":
+        convert_dpo(ds, OUT_DPO_DIR)
+    elif choice == "3":
+        convert_sft(ds, OUT_SFT_JSONL)
+        convert_dpo(ds, OUT_DPO_DIR)
+
+
+if __name__ == "__main__":
+    main()