data_processing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 准备数据集\n",
    "\n",
    "将数据集转换为更通用的格式\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转换为 ChatML 格式\n",
    "import os\n",
    "import shutil\n",
    "import json\n",
    "\n",
    "input_dir = \"data/AdvertiseGen\"\n",
    "output_dir = \"data/mlx_AdvertiseGen\"\n",
    "if os.path.exists(output_dir):\n",
    "    shutil.rmtree(output_dir)\n",
    "os.makedirs(output_dir, exist_ok=True)\n",
    "\n",
    "for fn in [\"train.json\", \"dev.json\"]:\n",
    "    data_out_list = []\n",
    "    with open(os.path.join(input_dir, fn), \"r\") as f, open(os.path.join(output_dir, fn), \"w\") as fo:\n",
    "        for line in f:\n",
    "            if len(line.strip()) > 0:\n",
    "                data = json.loads(line)\n",
    "                data_out = {\"input\":data['content'],'prompt':\"/n请为以下关键词生成一条广告语。\",'output':data['summary']}\n",
    "                data_out_list.append(data_out)\n",
    "\n",
    "        for d in data_out_list:\n",
    "            json_str = json.dumps(d,ensure_ascii=False)  # 将字典转换为JSON字符串\n",
    "            fo.write(json_str + '\\n')  # 写入字符串并添加换行符\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}