English_Egyptian_name.ipynb

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     "text": [
      "Egyptian:\n",
      "              code              name\n",
      "0  Arabic (Egypt)       Adam Rogers\n",
      "1  Arabic (Egypt)     Sandra Garcia\n",
      "2  Arabic (Egypt)  Anthony Mcdonald\n",
      "3  Arabic (Egypt)      Jordan Cohen\n",
      "4  Arabic (Egypt)       Cody Wilson\n",
      "\n",
      "American:\n",
      "                           code           name\n",
      "10000  English (United States)   Ashley Scott\n",
      "10001  English (United States)    Betty Smith\n",
      "10002  English (United States)   Dylan Harris\n",
      "10003  English (United States)  Andrew Vargas\n",
      "10004  English (United States)  Jillian Lewis\n"
     ]
    }
   ],
   "source": [
    "## Peek into the training data\n",
    "df = pd.read_csv('data/multi_class_names.csv')\n",
    "Eg, US = df['code'].unique()[0], df['code'].unique()[1]\n",
    "print('Egyptian:\\n', df[df['code'] == Eg].head(5))\n",
    "print('\\nAmerican:\\n', df[df['code'] == US].head(5))"
   ]
  }
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