[ImgBot] Optimize images

.gitignore

@@ -1,4 +1,6 @@
 apikey.txt
 /data/*
 !/data/ft_data/
-/src
+!/data/*.ipynb
+/src
+/exp_model

data/eval.ipynb

@@ -0,0 +1,200 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>prompt</th>\n",
+       "      <th>content</th>\n",
+       "      <th>label</th>\n",
+       "      <th>token</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2018-10-10 09:00:00+08:00\\n时间：2018-10-09 17...</td>\n",
+       "      <td>极度负面</td>\n",
+       "      <td>2291</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2018-10-24 09:00:00+08:00\\n时间：2018-10-09 17...</td>\n",
+       "      <td>极度负面</td>\n",
+       "      <td>3099</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2018-12-07 09:00:00+08:00\\n时间：2018-12-06 18...</td>\n",
+       "      <td>负面</td>\n",
+       "      <td>4949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2018-12-24 09:00:00+08:00\\n时间：2018-12-06 18...</td>\n",
+       "      <td>负面</td>\n",
+       "      <td>6829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2018-12-24 09:00:00+08:00\\n时间：2018-12-06 18...</td>\n",
+       "      <td>负面</td>\n",
+       "      <td>8136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5082</th>\n",
+       "      <td>请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-29 19...</td>\n",
+       "      <td>正面</td>\n",
+       "      <td>4210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5083</th>\n",
+       "      <td>请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...</td>\n",
+       "      <td>正面</td>\n",
+       "      <td>6582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5084</th>\n",
+       "      <td>请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...</td>\n",
+       "      <td>正面</td>\n",
+       "      <td>7217</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5085</th>\n",
+       "      <td>请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...</td>\n",
+       "      <td>正面</td>\n",
+       "      <td>7687</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5086</th>\n",
+       "      <td>请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...</td>\n",
+       "      <td>现在是2023-04-11 09:00:00+08:00\\n时间：2023-03-30 18...</td>\n",
+       "      <td>正面</td>\n",
+       "      <td>5918</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5087 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                 prompt  \\\n",
+       "0     请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "1     请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "2     请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "3     请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "4     请根据以下新闻文本，预测三一重工股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "...                                                 ...   \n",
+       "5082  请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "5083  请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "5084  请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "5085  请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "5086  请根据以下新闻文本，预测中国建筑股票的对数收益率属于以下哪一类别 (极度负面/负面/中性/正...   \n",
+       "\n",
+       "                                                content label  token  \n",
+       "0     现在是2018-10-10 09:00:00+08:00\\n时间：2018-10-09 17...  极度负面   2291  \n",
+       "1     现在是2018-10-24 09:00:00+08:00\\n时间：2018-10-09 17...  极度负面   3099  \n",
+       "2     现在是2018-12-07 09:00:00+08:00\\n时间：2018-12-06 18...    负面   4949  \n",
+       "3     现在是2018-12-24 09:00:00+08:00\\n时间：2018-12-06 18...    负面   6829  \n",
+       "4     现在是2018-12-24 09:00:00+08:00\\n时间：2018-12-06 18...    负面   8136  \n",
+       "...                                                 ...   ...    ...  \n",
+       "5082  现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-29 19...    正面   4210  \n",
+       "5083  现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...    正面   6582  \n",
+       "5084  现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...    正面   7217  \n",
+       "5085  现在是2023-03-31 09:00:00+08:00\\n时间：2023-03-30 18...    正面   7687  \n",
+       "5086  现在是2023-04-11 09:00:00+08:00\\n时间：2023-03-30 18...    正面   5918  \n",
+       "\n",
+       "[5087 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "data = pd.read_json('ft_data_3.json')\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "label\n",
+       "中性      1031\n",
+       "极度负面    1027\n",
+       "极度正面    1018\n",
+       "负面      1013\n",
+       "正面       998\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['label'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

data/gpt_translate.ipynb

@@ -0,0 +1,68 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from OpenAI_agent import OpenAIGPT\n",
+    "import json\n",
+    "from concurrent.futures import ThreadPoolExecutor\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "\n",
+    "def process_row(row):\n",
+    "    try:\n",
+    "        prompt = \"Translate the following text to English: \"\n",
+    "        content = igpt(prompt + row['content'])\n",
+    "        label_mapping = {0: \"Extremely Negative\", 1: \"Negative\", 2: \"Neutral\", 3: \"Positive\", 4: \"Extremely Positive\"}\n",
+    "        label = label_mapping[row['label']]\n",
+    "\n",
+    "        return {\n",
+    "            \"content\": row['content'],\n",
+    "            \"translated_content\": content,\n",
+    "            \"label\": label\n",
+    "        }\n",
+    " \n",
+    "    except Exception as e:\n",
+    "        print(f\"Error processing row: {e}\")\n",
+    "        return None\n",
+    "\n",
+    "\n",
+    "def generate_dataset(df, max_samples=10):\n",
+    "    global igpt\n",
+    "    igpt = OpenAIGPT(model_name='gpt-3.5-turbo', keys_path='../apikey.txt')\n",
+    "    df_subset = df.head(max_samples)\n",
+    "    results = []\n",
+    "    with ThreadPoolExecutor(max_workers=10) as executor:\n",
+    "        futures = [executor.submit(process_row, row) for _, row in df_subset.iterrows()]\n",
+    "        for future in tqdm(futures, total=len(futures), desc=\"Processing rows\"):\n",
+    "            result = future.result()\n",
+    "            if result:\n",
+    "                results.append(result)\n",
+    "\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = generate_dataset(data, max_samples=100)\n",
+    "output_file_path = 'translated.json'\n",
+    "with open(output_file_path, 'w', encoding='utf-8') as f:\n",
+    "    json.dump(dataset, f, ensure_ascii=False, indent=2)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}