{
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   "execution_count": 5,
   "id": "fe90069e-d214-4439-9536-3cff4d993308",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total samples: 6563\n",
      "Splits created successfully.\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import random\n",
    "\n",
    "INPUT_JSONL = \"merged_voxcpm_dataset.jsonl\"\n",
    "\n",
    "SET_A_JSONL = \"set_A.jsonl\"\n",
    "SET_B_JSONL = \"set_B.jsonl\"\n",
    "SET_C_JSONL = \"set_C.jsonl\"\n",
    "\n",
    "random.seed(42)\n",
    "\n",
    "# ---- Load JSONL properly ----\n",
    "data = []\n",
    "with open(INPUT_JSONL, \"r\", encoding=\"utf-8\") as f:\n",
    "    for line in f:\n",
    "        line = line.strip()\n",
    "        if line:\n",
    "            data.append(json.loads(line))\n",
    "\n",
    "print(\"Total samples:\", len(data))\n",
    "\n",
    "# ---- Split ----\n",
    "set_A_pool = data[0:5000]\n",
    "set_B_pool = data[5000:6300]\n",
    "set_C_pool = data[6300:]\n",
    "\n",
    "set_A = random.sample(set_A_pool, 500)\n",
    "set_B = random.sample(set_B_pool, 400)\n",
    "set_C = random.sample(set_C_pool, 50)\n",
    "\n",
    "# ---- Save JSONL ----\n",
    "def save_jsonl(path, dataset):\n",
    "    with open(path, \"w\", encoding=\"utf-8\") as f:\n",
    "        for item in dataset:\n",
    "            f.write(json.dumps(item, ensure_ascii=False) + \"\\n\")\n",
    "\n",
    "save_jsonl(SET_A_JSONL, set_A)\n",
    "save_jsonl(SET_B_JSONL, set_B)\n",
    "save_jsonl(SET_C_JSONL, set_C)\n",
    "\n",
    "print(\"Splits created successfully.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed19a713-2c8c-4701-b112-2a95fd43fccd",
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   "outputs": [],
   "source": []
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