{
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   "cell_type": "code",
   "execution_count": 15,
   "id": "c9140a01-4f24-4dc2-8d8f-686f38dd5385",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/root/autodl-tmp/labeled-recipes/data/train-00000-of-00001-5dd0d415a357ff24.parquet'\n",
    "output_file_name = '/root/autodl-tmp/data/train.jsonl'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "24d9b3a4-81e1-44c4-a25b-38c2bda4fdac",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Read the Parquet file into a DataFrame\n",
    "df = pd.read_parquet(path, engine='pyarrow')\n",
    "\n",
    "# Convert the DataFrame to JSONL and save it to a file\n",
    "with open(output_file_name, 'w') as f:\n",
    "    for index, row in df.iterrows():\n",
    "        json_row = row.to_json()\n",
    "        f.write(json_row + '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4c72fcf-a59b-4a6e-be45-f2f66e28bf4a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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