defining structure and reading data

src/classifier.ipynb

@@ -1,16 +1,265 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Arabic Dialect Classifier\n",
+    "This notebook contains the training of the classifier model."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Exploring the Dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_train = pd.read_csv(\"../data/DA_train_labeled.tsv\", sep=\"\\t\")\n",
+    "df_test = pd.read_csv(\"../data/DA_dev_labeled.tsv\", sep=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>#1_tweetid</th>\n",
+       "      <th>#2_tweet</th>\n",
+       "      <th>#3_country_label</th>\n",
+       "      <th>#4_province_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>TRAIN_0</td>\n",
+       "      <td>حاجة حلوة اكيد</td>\n",
+       "      <td>Egypt</td>\n",
+       "      <td>eg_Faiyum</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>TRAIN_1</td>\n",
+       "      <td>عم بشتغلوا للشعب الاميركي اما نحن يكذبوا ويغشو...</td>\n",
+       "      <td>Iraq</td>\n",
+       "      <td>iq_Dihok</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>TRAIN_2</td>\n",
+       "      <td>ابشر طال عمرك</td>\n",
+       "      <td>Saudi_Arabia</td>\n",
+       "      <td>sa_Ha'il</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>TRAIN_3</td>\n",
+       "      <td>منطق 2017: أنا والغريب علي إبن عمي وأنا والغري...</td>\n",
+       "      <td>Mauritania</td>\n",
+       "      <td>mr_Nouakchott</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>TRAIN_4</td>\n",
+       "      <td>شهرين وتروح والباقي غير صيف ملينا</td>\n",
+       "      <td>Algeria</td>\n",
+       "      <td>dz_El-Oued</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  #1_tweetid                                           #2_tweet  \\\n",
+       "0    TRAIN_0                                     حاجة حلوة اكيد   \n",
+       "1    TRAIN_1  عم بشتغلوا للشعب الاميركي اما نحن يكذبوا ويغشو...   \n",
+       "2    TRAIN_2                                      ابشر طال عمرك   \n",
+       "3    TRAIN_3  منطق 2017: أنا والغريب علي إبن عمي وأنا والغري...   \n",
+       "4    TRAIN_4                  شهرين وتروح والباقي غير صيف ملينا   \n",
+       "\n",
+       "  #3_country_label #4_province_label  \n",
+       "0            Egypt         eg_Faiyum  \n",
+       "1             Iraq          iq_Dihok  \n",
+       "2     Saudi_Arabia          sa_Ha'il  \n",
+       "3       Mauritania     mr_Nouakchott  \n",
+       "4          Algeria        dz_El-Oued  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_train.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>#1_tweetid</th>\n",
+       "      <th>#2_tweet</th>\n",
+       "      <th>#3_country_label</th>\n",
+       "      <th>#4_province_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>DEV_0</td>\n",
+       "      <td>قولنا اون لاين لا يا علي اون لاين لا</td>\n",
+       "      <td>Egypt</td>\n",
+       "      <td>eg_Alexandria</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DEV_1</td>\n",
+       "      <td>ههههه بايخه ههههه URL  …</td>\n",
+       "      <td>Oman</td>\n",
+       "      <td>om_Muscat</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>DEV_2</td>\n",
+       "      <td>ربنا يخليك يا دوك ولك المثل :D</td>\n",
+       "      <td>Lebanon</td>\n",
+       "      <td>lb_South-Lebanon</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DEV_3</td>\n",
+       "      <td>#اوامر_ملكيه ياشباب اي واحد فيكم عنده شي يذكره...</td>\n",
+       "      <td>Syria</td>\n",
+       "      <td>sy_Damascus-City</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>DEV_4</td>\n",
+       "      <td>شد عالخط حتى هيا اكويسه</td>\n",
+       "      <td>Libya</td>\n",
+       "      <td>ly_Misrata</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  #1_tweetid                                           #2_tweet  \\\n",
+       "0      DEV_0               قولنا اون لاين لا يا علي اون لاين لا   \n",
+       "1      DEV_1                           ههههه بايخه ههههه URL  …   \n",
+       "2      DEV_2                     ربنا يخليك يا دوك ولك المثل :D   \n",
+       "3      DEV_3  #اوامر_ملكيه ياشباب اي واحد فيكم عنده شي يذكره...   \n",
+       "4      DEV_4                            شد عالخط حتى هيا اكويسه   \n",
+       "\n",
+       "  #3_country_label #4_province_label  \n",
+       "0            Egypt     eg_Alexandria  \n",
+       "1             Oman         om_Muscat  \n",
+       "2          Lebanon  lb_South-Lebanon  \n",
+       "3            Syria  sy_Damascus-City  \n",
+       "4            Libya        ly_Misrata  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_test.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Training the Classifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Evaluating the Performance"
+   ]
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "adc",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,