Exploratory Data Analysis.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Exploratory Data Analysis.ipynb","provenance":[],"collapsed_sections":[],"machine_shape":"hm","mount_file_id":"1xgla_ghhOlbjDqAWYPieQxNs7nIRnHd1","authorship_tag":"ABX9TyNylTvVsXWQSmEPGqNqB7OZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"YfZqrTTR8_ca"},"source":["# 라이브러리 다운로드"]},{"cell_type":"code","metadata":{"id":"FoNDShlL8DbL"},"source":["!pip install datasets\n","!pip install kss"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"AJIsJAvy9DIq"},"source":["# 라이브러리 불러오기"]},{"cell_type":"code","metadata":{"id":"m8ALhx71SvgT"},"source":["import zipfile\n","from datasets import load_from_disk, load_dataset\n","import pandas as pd\n","import numpy as np\n","from collections import Counter\n","import matplotlib.pyplot as plt\n","import kss\n","import json\n","import re"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"nZ_e36JB9Gl8"},"source":["# 압축 해제"]},{"cell_type":"code","metadata":{"id":"GA6csBcGnPzj"},"source":["f = zipfile.ZipFile('/content/drive/MyDrive/Colab Notebooks/data.zip')\n","f.extractall()\n","f.close()"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"4QW4wC4M_fjI"},"source":["# Abstract"]},{"cell_type":"markdown","metadata":{"id":"CJpN9fN6_jLi"},"source":["![dataset.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAApIAAACPCAIAAADGPaxdAAAAA3NCSVQICAjb4U/gAAAAGXRFWHRTb2Z0d2FyZQBnbm9tZS1zY3JlZW5zaG907wO/PgAAIABJREFUeJzt3Xk8VF0fAPAzM8auyJL1ITtJolIhW8mWkhZKJVEPRUkL2lQkFaW0Knqk0iqilEilaNFCQkqLZey7rDPz/nF75p3HIGSb+n0//XHvce6Zc6/J755zzz0HR6VSUc8UFBZKiIv3MDOAy9UrcLl6BS5Xr8DlAsNT376Z+IGoCgAAAAAGAoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGlA2AYAAACYBoRtAAAAgGmw9DAfDocb0HoAAAAAfxoqldrbQ1gKCgsHoioAAAAA6F4fQjCuh6Eea2334b7gzwSXq1fgcvUKXK5egcsFhqc+fzPh2TYAAADANCBsM6W0tLS8vLyvX7+6u7sPdV2YUkZGRl5eHoVCcXNza29v//UC8/PzW1tbf70cAIaV5ubmx48fI4RiY2PDw8O7z3zo0KFDhw4NSr3+aEwQtlesWBEQENAhcebMmZcvX6btHjhwQILBqFGjTExMBreyAygqKqq0tBTbPnv2bFJSUk1Nze3bt2kZgoKCli5d2uGooKAgGxubTgv80y7syZMn//nnH2w7JCTkxo0bVCr18OHDZDIZS5w/f76SkhIOh5OTk1NSUlJSUmJhYZGWlh4/fnz3JVMoFEVFxaysrIE9gWGAQqEcPnxYU1NT7l+zZ89OSEigz3P27FnG74yEhMTq1auHqtoAExAQMKYzmzZt6uqQ0tLShQsXIoSysrJevHhBSw8JCZGRkZGRkYmOjqYlFhcXFxcX03YtLS3Pnj3boUBLS8tTp0712yn9kXo6knxoHTx48Ny5c/Qpnz9/dnBwoO1u2rSJ8Zt39uzZa9euDUL1Bsfu3buDg4NHjx7dj2X+URf206dP3Nzc3WTATopIJKakpGDXWVBQ8NatW2PHju2+5FevXrW1tT179mzChAn9WOFhyMPDIy0tLSIiQk5ODiFEJpMTEhKWLFly/fp1HR0dLE9DQ4O2tvalS5eGtKagE+7u7oz9c/v378/NzcW2y8vL1dXVaT9au3attbU1YzkJCQl79+6Nj4//+vXrggUL3r17JyEhMXDVBh0wR9jeuHFjh2/bzJkz6XfPnDlz7NixDkdVVlb+9A/ub+bGjRvJycn0KfX19d20jP+oC1tbW0uhUPq9WDKZ7OHhMWPGDD8/v3nz5gkJCfX7Rwwfjx49Wr9+PRazEUIEAsHY2FhfX//p06e0sA2YS1tbGysrK7YtKChYUFCAbTs7O9PSOwgODt65c6eCgoKCgsLixYvHjx/PxcWFEKqpqfn777/pc27atMnb25s+paKiwtjYuN/P4o/CHGH7p0pLSydOnBgSEjLUFRlAjY2NDQ0N3eeZN2/e+fPn6VOCgoLS0tL6/KG/04V9+vQpOzs7bdfHx6fDc7hly5a9fv26vb1dV1eXSCQihKqrq+fOnSssLIw93mNUWFi4evXqxsbG5OTkDRs26OnphYWFaWpqDuiJDKEFCxbs2rVr5MiRU6ZM4ebmLi0tvXnzZlJS0vbt24e6aqAXLly4EBERcefOHYRQSUmJoKAgY568vDxtbe1OD09JSTlx4gS2bWRklJ+ff/fuXYQQY8/cgQMHVq5cSZ9iaWn56/X/wzFH2Pbz8zt58iR9SlFREX1f7m+PSqUWFhZ++/bN09MzIiKiqqpq4sSJv17sn3NhL1++LCgoSCaTQ0ND7e3tEULbtm3buHEjC8v//wv8dMQNvcrKSkdHx4SEBGtr66tXr7KxsR07diwgIGDWrFmqqqoBAQGTJk3q/9MYau7u7lVVVcuXL5eWlm5sbOTj40tJSUlLS1NRURnqqoE+KikpYfyutra2vn79+ty5c4wDNpubm2tqamhP68TFxcvLywejouBfTBC2w8LCfpqHh4cnPj6e8fkKgUD48uXLgFRrcD1//pyVlTUhIeHKlSt+fn6Ojo6MeTg5Oe/fvy8iItIhfc6cOZ2W+edc2OjoaCcnp4SEBHZ2dkNDw2/fvjHmsbCwyM7O7qaQvLw8+l1+fv5Zs2YdPHhQWlqaluju7m5nZxcdHS0lJdVPdR92pKWltbS0oqKisF0ikSgpKTm0VQK/4urVq4yvDt+8eVNGRkZMTOzr169lZWUiIiINDQ12dnYIoba2Njwej8f/GM7MwsLS0tLSacm8vLzbtm3btm1bh3RocP+iYR22q6ur6cdHMJowYcKNGzcQQq6urq6uroNVryEQHh5+4MABPz+/oqIiMTGxTvM4Ojp2Gs4Z/WkX9uLFi9HR0RoaGgihV69evXr1CuvToxcTE9PbYjsdGs3Pz4+15n8z9fX1qqqq2EZTU9OYMWOw9Pb29kmTJhEIhClTpmDD0Li5uVNSUrBbvaKiIiEhIeyJg6qqalxc3NCdwZ/OwsLi9evX9Cn0t+NsbGwfP37Etr9//75r1y7agw8hISESieTv719YWIgQ4uHhYWdnr6qq4ufnRwiVlJTw8fF1+ok9aRiAPhjWYZuPj+/z58+03aKiIikpqba2tg7ZzMzM3r9/3005ubm5XY2tYArv37+PjIzcv39/fn6+q6vr1atXGfP06iL8aReW/pU2UVFRUVHRSZMmEYlEPB4fGRmJBRWE0LFjx86cOcN4uKWl5Y4dOzokmpmZvXr1iraLPSAkEAi0lOLi4t9pJn8eHh7670w3Vq5cSXucycPD8/DhQwUFhYGsGuiRHt6YUqlUJycnWVnZTseQYyZOnPjgwYP58+cjhBITEzMyMrBOvrq6OmdnZ0R3k9cVWsMA9AW1Z3qVuX+9ffu2qKiISqUWFhaysLB0k5OFhaWkpATbFhcXf/ny5WDUrzP9eLk+ffokISFx/PhxKpXa0NCgoaHh4+Pj4OBw8uTJN2/eKCoqdnoUOzv7ly9fui95+FzYwfl2qampCQsLS9HBenebm5u7OWrfvn0ODg4/LbwnF7y/DOF/RgqFcuTIkUmTJsnIyMjKykpLS5ubmz948KCr/Nzc3Dk5OYNYwU4M4eUahqKjo42MjBQUFBQVFRUVFXV1dcPDw2k/rampmT179uTJk8vKyrCUL1++CAsLU6nUffv2rV27Fku8du2agoLCx48fk5OTR44cmZGRgaVv3Lhx48aNjB+alpYmJSU1sCfGhPr8zRzWrW3Mzp07zc3NOwxH/HNwc3OvXbvWyckJIcTFxRUXF9fY2Ojn5/frJf+BFzYyMlJXV5e229LSQj+2HPzUgQMHIiMjIyIilJWVEULt7e23bt2ytLRMSUlhxncC/zRxcXEuLi4XL17U0tLCUjIyMhYvXtzc3Iw9X3v58iU3N/eVK1e6/39hZWX17ds3AwMDPB5/6tSpcePGDUbtwb+YIGzTiImJMXbk/vaEhIQ2b95M2+3f6VYwf+aFZeTv7x8QEMA4wKqrMX1/oNTU1OXLl2MxGyHEwsJiaWkZFBSUnp6Ohe1Zs2bRP1hpbGykvU2Hyc3N5eTkHORqA8zDhw/nzp1Li9kIIVVV1eXLlycnJ2Nh29DQ0NDQsCdFubm5ubm5DVRFQbeYKWwDMNCsrKxoL6QCRhYWFnv27JGRkdHS0sLe2758+XJWVtb06dOxDIxj/cDwMWfOHCsrKzU1NRMTE35+/tra2gcPHhw9ejQoKGioqwZ6gQnCdldvETg6Ou7evZs+RVNTk3ZfP2HCBGzint/Svn372NjYiouLu+qZVFdX/+lgsT/twgoJCdna2nZIFBcXp20LCAhEREQw9vixsrKmp6d3X7iysjJ9m/J3tWLFCmFh4QsXLuzdu7ehoWHUqFHq6upPnjz5jV94+51oaWnduXMnJCTk7NmzVVVVvLy8ioqKFy9e7GpaFYSQmJgYNteQgIAAbfb+rnQ1pJyLiws60vsRrLc9IOBy9Qpcrl6By9UrcLnA8ATrbQMAAAC/PwjbAAAAANOAsA0AAAAwjd492wYAAABAf+nDs22WgsLCgagKAAAAALrXhxDcu9Z2y4tOZmwGjNgmOSC4XL1RWFEvLsAz1LVgGoUV9dLG64e6FswBRpKD4QlGkgMAAAC/PwjbAAAAANOAsA0AAAAwDQjbAAAAANOAsA0AAOAn/v7772fPng3mJ75//76oqAghZG9v39DQMJgfPcxB2B4kUUnppZW1Pcz8t88/7gGRA1ofMKC+kirmbTgqOmO9+Cw3W69TFTU//uiE3nysYrVVSN9lytI9L7I+Y4mLNh/nmrJqhNbf2D+PoKsIoXYyxfPINSnTjcKGrrr2fi/ffxmqcwHD1qFDh+Q6s2rVKlqet2/fEggEEQaqqqqMBX748GEMgzdv3iCEnj17VlFRgWWjUChubm7Nzc0dDvfz8/v69StjsWQymbFYDBaYO3XgwIHY2FiE0KVLl1paWnp/eX5bTLAC2O9hz+mYsN0Oo/lH0lLIFAoB3/lt0363hTC/DVOz3nJCV0Px8n7nppbWhZuOewZdDdm5IvlFzuZDlxNObVJT+Ovk1QeWbkdybu7j5mSrrv9+zGuZncV/VmE6cO52Qtq7tPDtQqNG+ITELNp8/FPs/qE6HTA8VVVVzZ8/38/Pjz7xwoULkZH/uekXEhIikUg9KVBeXv7z588IoR07dpSUlJw+fbrTbFQq9fDhw97e3uzs7PTp4eHhBgYGjCvWEwgErNgOODk5KRQKtu3p6RkREUH7UX5+fk8q/GeCsD0YbL1OZX0qst5y3H2ZCTcH25kbDyWERyU8yyq8e+gbqdJpb/iHryXt7RTtCXInty3n4mDbfOgKFwdbgLu1y74IIpFQ19CUX1heUlnr/ffchUaTh/pswE+QKZQ1iwxn604gshCILBxz9CZcvJOGELrzNMNCb8IERUmEkNNCg0MR9xLS3lkaaFTXNvLycHYoRHOctNE0FWGBkQihxaZT9p6N/d7cysn+k8VYAegX3759Ky0tHehPaWtro60v7Ofnh91/lJWVycnJ/QnL4PYZdJIPhoi9qwl4fKS/s4PldCIL4XXuV2Mt1cK7hxBCLv4RUiL8H6L3ZV7zycwrPH45if5APB535d7zXU6WSSFbfNZYbQi4NERnAHqBgMfbmk0byc1BpVI/FZSdj31qZTgRIYRDOArl/1MrcHOy5X4pQQhV1zeej306dt5WabNN9jvPllfXI4QMJitrKElhOaMfvJ42XhZiNhgcFAolJSUlNTW1pqYmNzcX61R/9+5dh2zy8vIdOt7z8vJ+WricnBz2jLyyspJKpY4aNapDhry8vNGjR/fXufyWoLU92HA4HJGFsNBoErZ7eb8zlsjNyTZdQz7vW0mH/AaTlMSE+BBCExT/Kq+qb2pp5WCDP99MoLGpZbSBazuZsmKO9hprQ4SQqY6qpduRl++/TFD8KzL+2aeCsqaWVoSQhd4EeUnhiL2rvje3rvQOtdtxJu6oG62cyPhnwZGJ905uHLIzAcyMSCSysLBISEgw/ujLly8EAoEx/eLFi5KSkubm5p6enidOnMA62CdMmNAh24cPH0aOHEmfoqSk1POKFRQUSEtLM7aqU1NT9fX1e17OHwjC9hAQ4OWhPbp+8jrv0IW71bWNeDz+K6nSaOrYDplHcHFgG3g8DiFEJsMcjcyBi4OtIfUUqbxma/B1yw1HYo+4TVdXOOBm7bgrtKmlbY7+hKnjZUeN4EIIBbrbYIdwsLHudracvGR3Y1MLFwcbhULdeSLqdkpGUsjmMWKCQ3o2gFkpKysXFBT0PP+jR4+cnJwePnwoIyOjoqKCENq3b1+H8Nwv1NTUcnNzGdNDQ0MDAgKw7c2bN3t7ezOOffvDQdgeArSYXVP/3XLDkbPeKxfMnIQQWrM3vKWtfUirBvpBdd33qwnP7edOZyHgRQR5XRfP1LTd3dzaxs5KtJ+rYz9XByHU1k4eY7bRy8G8ubXtWcYnbXV5bHxiaxuZgMcRWQhUKvVvn3OlVXUPz3pyc7IN9TmB4YiXlzc4OBgbgPb161dRUVGs8WpgYIBl2Lt3b0hISDclREZGampq0nbv3LljY2Nz5swZdXV1hFB6evqKFSvevn07ffp0xmNVVVXx/x1U2+mw8OTk5KVLl9KnzJ8/n37X09PT2dkZ2/7nn38IBMKMGTOw3f37969evZqDg6ObU/gDQdgeJKxEluraxg6J9Y3NLa3tE5WlEEJpmZ/uP3uPjVcCTI2Dneh94mZlTcMmO9N2Mjns5mNlaVF2VuKzzPyV3mfjj7sLjRqx61S0MP9IbTX51vb2xZ4nXWxmbrIzqW1o8j4ZNVt3AiuR5UzUo4y8wsdhXkSWTroxB82bN29u3Lixe/dubLempiYgIGDPnj2MOQsLC0NCQnbt2jW4Ffyjubu7u7u7Y9s8PDyJiYkKCgr0Gby8vLy8vHpeoIGBwfPnz+Xl5bFdISGhuLg4bHvJkiVjxozBtgkEAm0BjICAgJcvX1661OWwGz09vR429zMzM11dXRMTE2E8WvdgSNogsTHRtNp4dMfxKPpECeFRG5ebGDjuV1u44+Lt1ONey5Kev/cJiRmqSoJ+wc5KjDmyPulFtoSRm7TppvyicmwEg+Y46fkzJ01b7itu5PYm99uNABc8HodlTkh7JzZzvbr1TonRo05sXY4QOnX1QWZeAb/uGtr73KkZnwb/XIqKiu7cuUPbra2tPXjwYKc5Hz165OvrS3u1t4PMzMxly5bJy8tjLxarqqp6eXnV19cPSKUBncLCQicnpx5mZmNjw2L2xYsXp0+frqSkpKSkpKioaG1tPXPmTGVl5T5Xo6qqyt3dXUVFBStTWVl5zZo19OH85s2benp6AQEBEydO7POn/CFg4c4BAQt39hYs3NkrA71wZ0pKio2NTYfECRMmHD16VFFRsampqcOPqqur9fT0cDjcpEmTGHtlSSTS2LFjDxw4sGTJEuxN35KSEg8Pj+Li4nv37g3cWWD+kIU7eXh4Xr582aG1jRDKysrS09MrLy/veVFXrlzZunXrtWvXxo8fjxBqb2+/fPnyunXrcnJyBAQEOmT+aWsbM3nyZB0dne3bt/Py8iKEGhsbg4ODjx8//unTJxYWFoSQpaXl2rVrDQ0NaYesWLFiypQpWCd5YWEhPz9/z0+BKQyjhTsHeTqw09eT9R32dZPhVfbXZ5n98+Z+PxYFwHCmra1dwCAmppN+IAqFEhMTM3XqVBMTk5SUlPfv35uZmWVmZtLnefv2rZCQ0MqVK2mzcwgLC2/ZsiUlJeW3j6YDx8zMTIJOY2Ojrq4ufUqfZxZ7/PjxggULsJiNEGJhYVmyZImgoGBGRgZCKDExkf5T9uzZEx0dTZ/SYfoXhFBjY+PLly+3bduGxWyEEBcX1+bNm6uqqmjTsERFRdHHbNCN/n+2PdymAwuPfSIjLqg5TnpYFQXAMNfW1rZly5Zr165RqVRxcXF/f39sXFJzc7OEhIS2tvalS5eePn1qZWU1bdq0oKCgWbNmIYSSk5NDQkIcHR3r6urevHmDTaahpaVVX1/v6elpb2//119/tba2vnv3bseOHQsWLIDZAPuM9tT5p6qqqjp9ASw1NVVcXJwxffbs2StWrFBXV9fX1x8xYkRxcfG5c+caGxux7mtDQ8NeDU1HCHFxcZmamjo4OHh5eSkpKeFwuE+fPgUFBcnLy8vKyvaqKID6vZPc1uvU1YQX0uKCjNOBPXiR7RF0taqukUqlrpw73XOlOULob59/+jAdWEZeweo956pqGyVFBSYqS6W+/fjgjAdCKDjy/vErSa1t7VwcbL5rrcynqx2OuLf7dDQ3J7uZjuqJrcsZMyCELt5J2xca29LajhCys9DGKvYq++umQ5GllXVEFoKdhfa6JUYdiur+OkAneW9BJ3mvDHQnOUIoMDAwNjY2Ojqah4fn6dOnZmZmpaWlJBKJvpO8ra2tsbGR1oSiV1ZWJiQkRL+roKAgKyvb2trKyspaVVWlpKQUExOD7+KGvh/9IZ3k/evx48dnzpzJyclpaGgQEBCYNm3amjVrOo3xPdTS0nL27Nm4uLji4mIKhSIsLGxkZOTo6DhixIiuDikpKWFnZ+fl5dXQ0EhMTOz0a8bU+vzN7OfWdsTe1TcS0yP9ncfLS1y///J17ldHK72w3Q6tbe02HicOb1pibaz54WuJho23wWRl+mYrNh3Ys/M7xIT4biSmu+6P6CZsO3iHmk9X27F6TkVNg4HjPv6R3Aihl++/eB29lnHVR0pU4J9bT5ZvDylNOrre1ij+aaaZjqqLzcxOM5DJlFW7wx6HeU1QlKyoaVi1O+wbqZJvJJfF+sM+a6zsLLTLq+t1VuyVkRCiL6p/LxoAwxCZTCYSidiYXg4ODgqFQps+GlNfX9/pchQ0U6ZMoT3yFBIS4ubmPnPmDNb16uvrW1hYOAgxG/SNjo6Ojo5OPxbIxsbm7OxMe9GrJ4SFhbGN9PT0fqzJb4CloLBwgIqmnw6MlcjyIcafi4MNISQvKSwtLpj3raRDb3MPpwMrr65/+6Eg0t8ZISTAy201Y2LyixyEkIaS5Lf4QGxuZ1Mt1VW7w0jlNRLC/585r9MM4qP5hEaNiIhL5WBjVRwjciPQBSF06+EbPA6PLe0gyMdjazY1Mv4Z1jTvlcIKGCjbC3C5hpV169YVFBQoKCiwsLAICAhERUV1WDeCh4en0/UhOtizZ09oaChCiEQimZqaYt3mNTU1ZDI5Pj4eMbw6DMAfpQ8hmEXiF/o9fop+OrCLt9Mi49PayRQcDveNVElh6Bno4XRglTUNCCG+EVw/PmLkj57V782tvmdupb79iBDCZn6mUP/TOOg0Aw6HSzy9OfD8XYt1QW3tZOeFBhuXG5dU1lbXNcpZbMEObG1rV5Hty1WCXt+eg07yXhmEWxxWVtYjR44cOXKEPpGNjW3atGn0KdnZ2aNGjeowifS7d++EhYWxUcfbt2/fvn37QNcWACbVhxA8sNOt0GL2vdR324/deBq+Te6v0QghFautfS5z1EguhFB1XSPfCE6EEKmyBkvfezb2WeanuOANI7k5SipqJU3cOxzYVYYxYoJHPWwRQpl5heauh5SkRUQFeYUFRubF+Pe5kgD8loSFhRMTE+lTvLy8zM3NV65cSZ/o5ubm4OCwaNEiWkpOTs7evXufPn2KEMLhcOzs7BYWFtu2bYMJsADorf5/ttTpdGBlVXX8vNxSogIIoZAbD8ur6xu/9/HlBKFRIxTHiJyLSUEIkcprbiT+eOxRXlUnKzF6JDdHa1v7/n9uI4Qavrdg9amqa+wqw/v8Yn2HfWVVdQghaXHBEVwcZApluoZCU0vrlXvPEUKtbe1bgq7cfpxBXxQAfwIzM7MOSzwJCQkxBtpt27Yp/RcWnmmampq0tbU1NDQyMjI+fvyYl5cXHx///v17BweHQTwbAH4T/R+2O50OzNJAQ15SWHmel7r1TiqVumm5ya5TN+OfZHZVSPfO7LS/k5IhaeK+2PPk8tlaZAoFIbTedlZGXoGK1Va9lfusDCeaaKvOdTtSXF5tNWNi0IUEI6eDnWbg5eGYNW2c7ko/eQuPiYu95+qrW+hO4OFkjzm8/tS1B0qWnmOtttbUfdfRkEcI0Yr69asEwPAXFxdH+q8XL14wZvPx8cn+rw4d6R8+fKBQKOvWrePk/LGsuJiY2Lp161JTUwfjNLpw9OhRMzMzKpUqKyt78+bNDj+1trbetm3b4Nfq2LFj2IaDg8P69QP7skDPpaenp6Wl9fao69evl5R0XNKQSdHOJSIiQk3txzinnvyy2tradHR0Lly40I+VgVnSBgS8ANZb8Gy7VwbhBbBOff36tcMsaZaWloyd5DNnzqTvJG9ra1NWVjYzM3N2dpaUlGxtbc3IyNi8efPEiRODgoIGus6dvmbz+vVrU1PT7OxsXl7eiooKHh4eNrb/rNdibW0tKyvr4+Mz0NWjV1lZKSsrW11djRCqq6vD4XA8PMPiP4WLi4uMjExvbyPGjRt3/vx5WpAbVshkcqeLlnaFdi7Nzc2NjY38/Pz0vywHBwdubu7Dhw93emxxcfH48eOfPXsmLf2fUdjDaJY08CuKyqrZJjnU1H+nbXTIYOt1aueJqE6PxZy8+gDb+PUZ6EC/Ox/7dNz8bUL6LipWWy/c7tjWXLM3nFNzFbZNpVJ3noiSmLVBUM/FZE3gV1Lnc30PMgKBICYmRp/Cz8/v7e0t8V85OTn0felEIvHp06f8/Pxr1qzR1NQ0NDQ8ePCgg4PDoUOHBv0MfvDy8nJzc8NeBZ4yZQo27/qlS5dkZWXl5eWXLl360ynGLl26JCMjIycnZ2tru2TJEg8PD4SQuLh4bGwsluHw4cO0lawuXryoqqqqqKg4ceLEhIQELDEiIkJJSUlaWlpaWtrHx6epqWnSpEl1dXUqKiqvX7/esGEDNpSvpaVl48aNCgoK8vLyOjo6L1++RAiVlpbicLgrV64YGRmpqqoaGxt3P8F7WFiYoqKiuLi4np4etlxmp8VevnxZW1t7165dBgYG8vLy2DolAQEBYWFh/v7+jo6OCKH09PTp06crKCioqKgEBgYihLKysnh5ebOzsxFC5eXlgoKC9+7ds7a2fvfu3fz580+fPt1VrRITE9XV1aWkpCQlJWl3SE5OTuvWrbOzs9PR0ZGTk8PWN6NSqZs3b5aWlh4zZoyKikp0dHRYWBjtFbXAwEA8Ho9N4FpQUMDOzv79+/fS0lJra2sFBQUlJaVVq1Y1NDQghFatWuXq6qqurr5w4ULGMruqJ/25XLt2zdDQsMMvi5azra1t69atioqKSkpKxsbG+fn5CCFRUdEVK1Z4e3t38wvqleG7Alj25+JlWztZcs7GRHPDUuPBr88gExHg/RYfMJK7dwN2Kmsbdp6I+nuBPhqUGehAr6S8znM7cPH2sQ2TVaQTn70Nf27iAAAgAElEQVSfsz5Ic5y0rMSPMdh3n2Ymv/z/8sMhNx5eTXiRcs5LVJBvx/GoxR4nn/wzBH22HYiLi3/8+JE+5cyZHnUpCQoKDp/x5FVVVffu3esQTkpLS1esWHHnzh19ff309HQtLa2xY8d2VQKWOS4uztDQ8MWLFzo6Ohs3buwqc1pa2qpVq9LS0lRUVJ49ezZz5sy8vDxeXl57e/u0tDR1dfWKigp7e/uysrLw8HBzc/N3797RH75///5Hjx6lp6dzc3OfPn16zpw5Hz9+xFqKb968uXfvHplM1tDQiIiI6GrJkNTU1E2bNr18+VJKSsrHx2fBggUZGRldFfvs2TNPT8+dO3cWFxdLSUk5ODi4u7vfuXPH3Nx8/fr19fX1pqamfn5+9vb25eXlU6ZMkZWVtbCw2LVrl6Oj4+PHj11dXRcvXmxkZGRkZHTt2rVr16511dpubW1dsGBBcHDw4sWLc3NzVVVVZ8yYMWXKFAKBEBkZmZ6eLi4ufu3atTVr1lhbWycnJ1+4cCE3N5ebm/v58+f79u0LDg52cnJqamri4OC4f/++lpbWw4cP58+fn5iYqKury8nJaWVlJSwsnJ2dTSaTra2td+zYERgYSCQSr127lpycLC8v/+DBgw5lWlhYdPo3MzIyknYuERERCCEODo5Of1mBgYFxcXGpqal8fHyBgYHz589/9eoVQsjGxkZHRyckJKRDp07fDN/WttIY0RcXdzL+Y8aYrWvvd/Cf/y+jNGXpnuDI+wih4Mj7yvO8ZGdvHr9we+yjN/SHkCpq/jJ2r21oQghdvvtcydJz7LytK3acoS3I3dLavmZvuJzFFmmzTYar/HO/lDS1tE5b5lPX2DRh0Y43ud82H7rifeImlnNL0BUVq61j5201cPRPz/6CECqrqmOb5HDt/gvTtYEaNt7mrofqv8Na9ANr1EiucJ9Vk1WkEUKGmsoCfDyfCsqwH1XVNa7bfzFwozUt86U7aesWG0mKCBBZCDtWW2TkFeZ8Jg1NvX87aWlpYmJiHeb7fPTokaCgoL6+PkJIQ0Nj8uQup3uiZcbm0J40aVL3mS9fvjx79mwVFRWEkKampoaGRlRUFCsr6+jRo8PDw7OzswUEBGJiYiQlO1+09/r16/b29tzc3AihlStXVlVV0aYfsbOzQwgRCARVVdUvX750VYErV66YmJhISUkhhLZs2fL48eNuihUUFDQzM0MIiYqKCgsLdyg2KSkJj8fb29tjOZctW3bx4kWEkKurKxcX16JFizIzM/39e/QODisr65cvX7AnKQoKCjIyMh8+fMB+ZGhoiM3Ipq6uXlZW1tTUJCwsXFNTExERQSKRJk+efOPGDVFRUQUFhadPn7a1tb19+9bJyenBgwcIocTERFNT07q6uvj4eA8PDzweTyQSXV1dsXricDhNTU1slTPGMn+9nRMZGenk5MTHx4cQcnFxycrKysnJQQipqanh8Xj6dvmvGL5h+3eyxGzq1YQfY3nyvpW++1hobTwFm7XtdvCGj7f2b1hqvHx7SDuZwnhsWVWd4+7Qk1uXZ93wdbGZeffpj3F8xy7ff/YuP+Pqnk+x+8eICboHXuJgYw3dtZKHk/315d1qCn/RSggIj0959SHt/I6sG76LTadauQc3tbRiE1S9zS24Hbzh+YUdpRV1F2/3esgJ6BVlaVFTnR/Tij1/l9/U3DpJ5cezLhe/iLXWhopjRGiZcz6TlKR/7HKwsUqK8L/PLx7kCv+uSktLaTNw0VRUVIwa9f/ZmRiXuupz5pKSktu3b0v9Kysrq7y8HIfDPXz4sKWlxdTUVFxcfN++fV094ywpKaFNE0sgEPj4+EpLS7Fd2sygeDyeTCZ3VQESiUSrLZFIHDlyZDfF0s82ylhsSUlJVVUV7VxOnTqFPdzF4XDu7u5Xr151dnbuMC1PN86fPz99+nRNTc0pU6Z8/fqVNg0f/XkhhMhkspKSUlxc3P3791VUVNTU1LBVbYyNjZOTk1NTU9XU1AwMDJKTkxFCSUlJpqamJBIJIWRkZITVc+nSpa2tra2trQgh2ll3WuYvKikp2bFjB/ahcnJyXFxcWE1wONzo0aP7a4De8O0k/50smDl5Y2Dkx4JSWYnRkfHPTLXHC/By84/kYpy1DZtqht7jVx8EeHl0JyoihNSVJCeN/bFSvetiI0crPWwiOWOtcVuPXu/q06OS0h2tdLk52RBCK+Zoux+89Cr7q4KUCEJo2WwthBABjx8nJz5Mnp7+CTLyCmw8Tp7ctnzUCC6EUGT8s4ra+jWLDL+VVNLyNDS1sLMSabuc7KwNTdAd0j86DZCjRo2qqqqi7ZJIpG6Wl+6Qubi4GMtMIBBohdfV1WEboqKilpaW586d61CItLT0iRMnEEIZGRnGxsbKysr0twI0IiIiZWU/emXa29urqqpERUV/fpL/LaG4+Mc9X2tr64cPH8aOHdtpsUVFRd0XJSoqKiIiwtiyb2lpcXd33759+549e6ysrDpMv9Op+Ph4Ly+vFy9eYG1fxiVHO9DT09PT06NQKFFRUQsWLCgqKjI2Nt65cycej9fX1xcWFqZQKA8ePODg4JCTk8Oe9D98+BDrY6BH36RmLLP7O7CfEhUVdXFxwXpBOujHWfGhtT0Y+EZwmmqPv3rvBULo8t1nyy200L+ztmnb+Wrb+c5ZH4QYpnXDVNQ0YDPMYPj/nRXua3HFmr3hWst9tO18vU/cZJx1jqakslZo1I+7VwIezzuCE3tPHSE0guvHfTEejyNTOvl00O+iktIt3Y6e2rbc0kADIVRcXu198uaZHfYdOui4OdjqGv4/YLu6/jsPZ08bMaB7wsLCjO0ebW3tkpISbLzYo0eP3rz58dCquLiY8fk9febk5GRa5r/++gtbtLShoSEq6sfQ0YULF0ZHR2OdpeXl5TY2Np8/f87KytLW1sYauDIyMiNGjCCTyaysrM3NzR2WM1+wYEFYWFhjYyNC6NSpU2JiYhoaGl2dWnp6OuPKYPPnz799+3ZWVhZC6NChQzY2NjgcrlfFYqu/IIT09PSampqwYWKtra0bN27EhuB5eXmNGzdu9+7ddnZ2WBc6/VFUKvXMmTNYu5OmrKxMQEBgzJgxWAXKysqwUWOd+ueff+zs7FpaWvB4/Lhx4ygUCg6H09bWzs7OvnPnjoGBAUJIV1d39+7dpqamCCEeHh4TE5P9+/djLfjQ0FBfX9+elNlpVenPhT6F8Ze1aNGiEydO1NbWYr8LGxsbrLuCSqWWlZX15G6mJ6C1PUiWmE71PnnTWGtcbUPTrGnjUA+mdcOMGslVRTd9TUllDdZ3arfjjLqS5KMwLwIef/nu823HumxtiwiMpMXpdjKluq5RRPB3W0uHWfxz68n+sNt3T7jTRqLFPnrb8L3ZYJU/Qqi9nUKmUOQstvyzx1FFVjzrU9GMKWMRQpW1DcVl1X2bYRcwmjJlSnFxcUFBAf3jbTExsVOnTjk6OlIoFG1t7UWLFmF/cN+/f7969eoOM8PQMpPJZB0dHXNzcyzdx8fHyckpPj6en5/fysrq/v37CCFNTc1jx44tXLjw+/fvOBzOwcEBi1UmJiZaWlrYm0gLFy6cO3duU1OTsrKyuLh4WFgY7bPc3d2rqqrU1dWpVKqEhER0dDQ2r3unoqKiUlNTsYfTNFpaWocOHbK0tKyrq5OXl79y5Upvi12wYIGLi0tKSkpSUtLt27fd3Ny2bdvW3t5uaGioq6ubnJx88eJFbHCWt7e3urr68ePHnZ2dlyxZMmfOHFdXV2zA2qNHj0RE/v8YyMrKKjIyUk5OjoeHZ82aNR4eHjt27OjwihTNvHnzkpKS5OTkWFhYuLi4wsPD+fn5sVN79OgRNupNT0/v1KlTW7b8mJQ6LCxs/fr18vLyZDJZVlaW9o5192W2t7czVhUhRDsXJSUlLEVFRYXxl+Xm5lZbWzt58mQymczNze3r60sbPEgmk9XV1bu6wr0C720PCMb3ttvayVIm7oaayiKCvP7rFiKEVu0OaydTQnetbG1r9zhy9Vhk4qvIXbw8nNJmm0qTjjQ2tWAb35tb5GZviQlab6ip/Pj1B/O1h9bbGu1yslSY4+G50tzOQrukonbZ9pD3n4oK7ga+fP/FcJV/adIRDjZW2qKo/mFxtx6+uXtiIxcH28mrDw5fuJdxdU9dY7PYzPXf4gOwldEddoXy83JjFRsSf8J729mfiw0d9z8N34ZNF8joK6lCaa7X92enEULhsU98Q27dOeYuKsS7KfDy+/yixNNbaDmH6r1tZtTp27FmZma6urqbN2/uSQmWlpa0pnOnhuQl707V1NRs2LABW7tlWNmwYYOLiwt2vzLMDURVN2/eTCKRzp8/T584XBbuBF0hshAWGE0+cSXpVeQuLGW97axl206rWG0dwcVxYMOi/MLyuW5HLvt3fIVDVJDvmNeyv33/oVCoWmqyC4wmYb3Ze13mexy5eiji7l/C/IHu1vM2BBuvCYgKdFUaIyptuilk5wpaCeuXzKqqa9S03U2lInFhvusBa1mJ8HsfAmduPKqub1Rd8P/3uLY7ztlkZ9Jp5mXmWgUlVdNX7m1qbtWeIB/hu3qwqvlH8PX1NTU1XbVq1U9Xca6qqlqxYkX3eYaPT58+DZ+51eiNGzeOKWI2GoCqFhcXh4aGPnv2rL8KhNb2gIBZ0nrrT2ht9yNobfdcV22a4ODg+Pj4W7du/fprP8OntQ2Gm/b2dn19/dWrV9va2nb4UZ9b2xC2BwSE7d6CsN0rELZ7rs9/HAEYUDC5KQAAAPD7g7ANAAAAMA0I2wAAAADTgLANAAAAMI3eDUkDAAAAQH/py3vbBYWFA1EVAAAAAHSvDyG4d63t3LLMXlfqj6QgNA7B5eqNUlL5aBHBoa4F0yglleuo6g91LZgDvAAGhid4AQwAAAD4/UHYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AQI9kZmZ+/vz5y5cvXl5ejD8tLi7esWPH4NcKMKl3795duXKlHwt88uTJ9+/fP3365Onp2Y/FDkMQtgEAPXL8+PGYmJjKysqoqCjGn5aXl4eEhHR1bGZm5rJly+Tl5eXk5OTk5FRVVb28vOrr6weyvmBYS09PDwsL6/RHT548GdMZHR2dbgq0tbUtKCioqKiIjY0dmCoPFyxDXQEAwLBDIpHU1dURQuXl5by8vEQisauQPHny5KamJoRQfX19SUmJiooKthyhubm5n58frTRdXd0DBw6cPn2anZ0dIVRSUuLh4WFlZXXv3r1BOiUwRGpra3l5ecXFxbHdqqqq/fv3r1mzpptDtLS0Pn/+3CHx+fPnNjY2tF09Pb1Pnz5h2xoaGjdv3uzXWg9rA9Xaznr7/k16Rm+PuhubUFFW0cPMbqs2HfY72l+lda8fi+peSXGpgtC4utp62kaHDD896wuhl7CNrW47fbf5D1RFQZ98+fR1qaW9hsxUXbUZEWd//KZqq2vXO26cJDdtsoL2Vredra2tCCEqlXrY76jWWD0Nmakr5jsWFRQPZj1FRERIJBKJRJKTk7t79y6JRDI3N+805/PnzzMzMzMyMnR1dfF4/NatWzMzMzMzM2kxGyH09u1bISGhlStXYjEbISQsLLxly5aUlBRYBpsmIiJCTU2NMV1YWPj+/fuDXJnKysrIyEhsW1ZW9teDYsG/5s2b17cS2traWFlZabvJyclYgQEBAX/at2igwvaNyJtvX77t7VFH9x8v77/o2I+l9W/FekJIWPDJuwc8I7h7dVRNdQ0tqHvu3rTeY+0AVA30UVtr26rFznozpz/PTTkefjTy3JXiQhJCyHuLT1tr28M39xNfxH/7/O3w3qMIocjwq7dvxl+Jv/gs57HyOKV1Du5DUufGxsbv37939dP29vb8/PyIiIjp06dXVFQ8f/58+/bt9vb29+7dKy0tpWXT0tKqr6/39PTMy8traWmpr69PTU11dXVdsGAB1jQHCKH58+cnJiYOdS1+SE5OpoXttLQ0ExOTgfiUpKQkERGRw4cPd5WhqKiIg4MD2y4pKREUFGTMk5eXN3r06IGo3rA1IGE79Pg/1y/dPH00dNsGb4RQ1tv3SyyWz5pqbq5jGXYiHMsTcy3WRMvCcKKx4UTj44GnEEJuqzbl5Xx0td9wOfxaVyXH3rg9c7Kp0RTzTc6erS2tWGJra+uOjbv01Wfpqs1YYrE8P+9zh9I6zUClUg/sCjScaGygMctcxzIx/gFW2q3rt2frzjOeNnvezEVPHqb2sGLdsza1DTkaStudN2Nh+OkIhFD46QgjTTN9dSNT7TlJ/1YAU1ZSrqWiX1/X0POzbm5usZpp3VDfaK5j+T4z22/HgcP7grGc/t4HZ001N5pivnj28ndvshBCFeWVCkLj7kTftV+warbuvJWL/m5saOzb2YEeSkl+ihBa6WxHYCGMVVWKfRwlKi7S1NR8L+7+hq3rOLk4eUZwr3H/++aVGIRQzNXYFU7LxCREWYgsLlvW5GTlfvqQP8gVplKpJSUlRUVF27dvl5CQOH/+fIcMDx8+3LBhQ0FBwb59++Li4jQ0NLKysszNze/fv798+XKs8xwhxMPD8/r165MnTy5evHjy5MkGBga2trZsbGxdPdr8M127ds3Q0BAhRKFQNm/eLCEhMW7cOH9//+7vbKqqqubOnSshITFhwoSQkBAcDtfc3Pzx40ccDtfQ0IDlmTt3ro+PD0Kora1t69atioqKSkpKxsbG+fn5WAmWlpZSUlKSkpK6urq5ubmPHj1ydnZOSkrCWv9Tpky5c+cOQqioqMjKykpeXl5eXn7RokXYnZmTk9O6devs7Ox0dHTk5ORowb4nDAwMSCTS+vXre5KZRCLJysoypqempurr6/f8Q38DAxK27Z2Xq2mornKx9wn0bmxodLRxmmc9925qbPjN0Auhl5LiH7S2tnqu237whH/iy/hr9y5lvn5XXFh86PQBAgF/JDRw0bL5nRZbUV7p6brdJ9D7Xlqs3eqljxJTsPTwkAtvXmbceRqT/DpBQlIC6xmmL63TDM+fvIi5Hnfr4Y2k9Lt7g3ZHRUZTqdQ36Rnb3b0DT+2Pf3prp/9WlxVuFeWVP63YT81ZZHH7Zjy2/eXT19zsvNnzzTJfvzuw+1Do1dMPXt1buWaFu5MHuZ38K2fNzs62/9heLm7O2MdRyuOUaCWcORr2IjU96v6Ve2mxcxbMdlrm2tzcQiDgEULZ73JCr56+mXStoqwi5tpvPo5jyGW9fS8jL73dfZeBxiwLPavoq7cQQgVfCqgUyhhZKSyPjLx0ZUVVdVX1p7x8GXkZLJGdnU1MQvRj7sdBrvDLly+JROKjR4/27NlTUFCwdOlS+p+2t7dHRkYKCgrm5+efO3fO0dHR0dFx7dq1d+7cqa6ulpCQOHHiBC2zkJAQNzf3mTNn3r59++LFC3t7ewkJCTwehsR2IiYm5ty5cy9fvszMzGRnZy8vL+8m8+7du+vq6vLz81+8eIH1pbOwdDliKTAwMC4uLjU1NTs728jIaP78+QihoKAghFB+fv7Xr19tbGyuXLkyffp0FxcXAwODN2/e0B++bNmy0aNH5+bm5uTkEIlEJycnhBCBQIiMjPTx8Xn8+LGfn9+6dev65SIwWrt27dmzZzskFhcXJyUlmZqaYrva2tq07d8YS0Fh4YB+QFrKcxweb7XYEiE0ip9v7kKLWzdu68/SExDkv3klhp2dTUZe+sT57h7W0rxMTR8lwKepPRkhNHa8sqq6Cpa+YvUym+UL2dnZEEK6M3QO7jnU4cBOMwgICdTX1kVfi51hrK+qPi743GGE0O2b8Qaz9OQUZRFC49VVx45XTridaLN84S9eBLM5xnu3+n/N/yopLXnrRpz+TF2+UXy8fLxPspJHjORBCOnNnO61bntpSRnjH7I+nzXN3dgEa7uFnFycCKH5S+b5bt2X9TZLWm4MQmie9VyEEIGAV1CWL/w2qE9P/0C1tXWpj5+digjeE7DzZdqrlQtXSUpLUqlUFhYi7ffOzsGBEPre2PS98Tsb+/+f5HFwcDQ2Ng1yha9fv+7v7x8UFPT9+3dOTs4OPyUQCA4ODrTd7Oxsd3f327dv01JGjBiBENqzZ09oaChCiEQimZqaYo8na2pqyGRyfHw8QigyMlJTU3MQTodZJCQkzJo1C+v4dXZ2dnfv7vlIQkLChg0biEQiQmj16tXdv1IVGRnp5OTEx8eHEHJxcfH09MzJyREXFw8PD4+NjdXX1//777+7Ora2tjYpKenYsWM4HA6Hwzk5ORkYGFAoFISQoaEhNuJMXV29rKysqamJ1rONEMLj8VJSUmPGjKGlzJw5s5tK+vn5HT9+nLYrICAgISFBnyEmJmbChAnY9tatW5ctWzZy5EhsNyUlpaamhv5rOfz1IQSzSPw7wG+AlJdW1NbU6qvPwnbb2toUlORwOFxE9LmzwWGONk7t7e22Kxc7utj/9ClXdVX1SN6RtF2+UXzYRmFB0RH/Y18/f8PhcHW1dRRKx+EJnWaQkZc+ffF4xNlLh/YeEREVXrdljYGxfkVZxcP7j2m1bW5qqq6o/vWLMIJ3hL6RbtzNeOcNq2Nv3N7ivREh1NzUfCzg5KvnrxFC2Le/04EVfT5rmoqyCn6BUdg2gYAfwTuiorwSC9vcPFxYOh6Pp1A6aeuDfsTLO3Kc2ljsDmziFHUdA+1HiY+NZxu1tLS0tbYRWYkIobraOoQQFzcnJxcn9ogEU1tTx8XdMXAOKBKJFBYW9vHjxzdv3vj6+vr6+nbIgMPhNDU1V6xYgbXJvn//XldXR/u77+vriwXj7du3b9++fTBrzuwqKiqEhYWxbSKRiN39dJN51Kgf/7sFBAS6L7mkpGTHjh200YJcXFwkEsnR0RGPxwcFBdna2k6dOvXw4cNKSkqMx5JIJISQkJAQtisoKNja2lpdXY3+vT9DCGF3n2Tyf/6S8PDwMA4L74anp2cPX7wODQ29f/9+VlZWzwsfhvoQggf8BTAhYUFBIcEHr+52SJeQFPc+sB0hlPv+w8pFf8vKSxsY/+T5xEjekbU1tbTd8tJyWQUZhNAmJ08VtbGXb18gEPCxN24H+AR1OLCrDJO1Jk3WmkShUBJuJ7o6uD/OSBQSFpxparjvqM8vnjWjOQtnH/Y7qjtjekNdg66hDkLoWMDJNy/ehF45zTOCu7y0XHucQf+eNY3gaMHKiipsm9xOrq2uFRIW6s9zAz0jJSN5OzqetkulUlkILJLSf7GxsX3I+ThWVQkhlJuVKzhakJePV0FJLi/7o7beNIRQTXVNaUmpgpL8oFW1rq7Oyspq6dKlPDw8u3btmjp1qngXf1w6fT5tYmKC/UGnycnJ2bt379OnTxFCOByOnZ3dwsJi27Zt9M0ygBk1alRV1Y//sE1NTbW1tT3MXFz8o8OMQCAgumZAXV0dtiEqKuri4mJnZ9ehkJUrV65cubKpqWnnzp1Llix59eoV4weJiIgghMrKyrC7hLKyMnZ2dtodw09duHBBRUVl/PjxPcyfmZl54MCB58+fY805Dg4OS0vLzZs3s7GxYafm7e19+vTp6Ojo7m9rfksD9WyJyEqsqalFCGlqTWppbo6LuoMQamtt8/c++ODew7zcjzbmyyrKKxFCf0lJcPNwkSkUhBCRSKyt7vI7qqGpXl5WgQ0Te5Ganv0uF0uvrKgcq6pEIODLS8uvRFxvbmrCvq+00jrNEHU52sNlW2trKx6PV1CSp1AoOBzOZM6sxPgkbMxaVWX1htWbC78V/bRiPaFrqFNeWhF6/JzFAnMCCwEhVFVRJSktyTOCu6217fSRswih742dDNnt1VkTicSW5tbm5hb6EowtjG5cutn0vQkhFBl+ZbSIkIqq8q+cC+ibGaYG1ZXV1y9GYaMonjxM1Z05nY2NzXSu8dH9xxrqGyorqo4fOr3Adh5CyNJ6bsTZi9++FLS0tBzee3TCxPFSMpKDVtXPnz/z8fFh45jExMTu3Lmjqqra59Kampq0tbU1NDQyMjI+fvyYl5cXHx///v175urMHDR6enp3797FYnBgYCAWgxFC6enpcXFxHTLr6+tHRES0tra2tLTQBhMICwsTicTMzEyEUG5u7osXL7D0RYsWnThxArsPSE9Pt7GxIZPJTk5O2ONtDg4OeXl5rK3MyspaU1ND3/83cuTImTNnBgcHI4TIZHJwcLCVlVXPXwSIiIjo8KRcTU3N1ta208wkEklfX3/GjBkZGRnZ2dnZ2dlxcXHv3r2zt7fHMpSXl6ekpKSlpU2ePLmHFfidDFRr29hi1h7PvenPXoffOBty6cTe7f6H/Y62t5OnTtecPG0iFzfXdENtG7OlZDKZQCCYzJk1w8QAITR7vrnTMtdljkvcvFwZyxwtIrTn4M5tbt5UKkVDU910rjH2Ddu0Y4O/d8DZ4+dExUW3+Xr8bbvWbr7jP9fP0ErrNMPxf4LSHj830jQjEAgcnBz7g/fy8vHy8vHu2LdtnYN7c1MzDodbYGsl/pfYTyvWEyxEFjNL44izl2If/ZhhaoXzcvfVW2ZNNefm4fbas/nbl4JVi9ccDQ38lbM+GREsqyAzfbzhvqA9tBLsnZfX1tTONVxApSIRMeET549i/bFgkLGxsR0/f3S3h6/fjv0CQgI+gd5YC3vbXo+dm/boqs0ksBBmzzNd6+6EEJpnPYdUSLI2tW1qap40VePQ6QODWdXx48fTR4ixY8cihCIiIhhzmpiYfPjwgbHVRZ/y4cMHCoVCP1hJTExs3bp1tL/CgN78+fOfPHmirq7Ozc3t6Og4ZswY7L98VFRUamqqmZkZfWZvb287OzsJCQl+fn5nZ+eYmBiEEAcHx8GDB5cvX/7XX3/JyMhYWiPMVw8AAAL9SURBVFq2t7cjhNzc3GpraydPnkwmk7m5uX19fQkEwrp169asWYPdH4iJiWHdJ7NmzQoMDJSQkEhPT6d91rlz59auXSsvL48QmjZtWmBgxz9WvTJ+/PiuGt+vX78WExNbtmwZLUVERGTjxo1z587FdoWEhIbPy3KDD9fDF9Wxu6rcsswBrs9vQkFoHILL1RulpPLRIp28lAk6VUoq11Ed7JdenJycFBUVtbW1bW1ts7OzsUQTExM7O7tFixZ1c2BbW5uysrKZmZmzs7OkpGRra2tGRsbmzZsnTpyItfMGFPa36zeYkaOmpmbDhg3Y+L5O5eTkKCkptbW1dTOYfKiYmJhYW1svX768J5mrq6vV1NSWLVuG3Xk0Nze/efPGy8tr0qRJhw51OfZ2zJgx8fHx2JA0rKdhmOvzN3PY/XYBAMPTwYMHCQTCly9f6BtJkpKSPj4+WHc6PS0trZMnT2LbRCLx6dOnJ0+eXLNmTXl5OSsrq5iYmIODQw//iAPMp0+feviK8zDEx8fn4eHh4eHRIf3GjRtTp05lzJyWlnbq1KlVq1ZhD9ElJSWdnJwWL17czUckJiaKi4vn5OR0+nr372Q4trZvXomhzcpCz2vPZmwU7vAHre3egtZ2rwxJa5tJ/Tat7Z8azq1twOi3am3PXWgxd6HFUNcCAACYiaKi4p9wdwJgliIAAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAafRuKREAAAAA9Je+LCVSUFg4EFUBAAAAQPf6EIJ72trGSpcQF+/tB/yx4HL1ClyuXoHL1StwucDw1LdvJjzbBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAaUDYBgAAAJgGhG0AAACAafwPvkqTsfxszfQAAAAASUVORK5CYII=)"]},{"cell_type":"markdown","metadata":{"id":"tAGj0m8UIDu5"},"source":["![mrc.png](data:image/png;base64,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)"]},{"cell_type":"markdown","metadata":{"id":"DaYPrF6OIFh-"},"source":["![odqa.png](data:image/png;base64,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)"]},{"cell_type":"markdown","metadata":{"id":"VvCM5PDd9L30"},"source":["# Train"]},{"cell_type":"markdown","metadata":{"id":"W3iWktFi9Ons"},"source":["## 데이터 불러오기"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3EO4G0tJ4n_D","executionInfo":{"status":"ok","timestamp":1620001296088,"user_tz":-540,"elapsed":15773,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"c6c18afd-45f3-4b85-d313-91c10937518a"},"source":["train_dataset = load_from_disk('/content/data/train_dataset/train')\n","print(train_dataset)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Dataset({\n","    features: ['__index_level_0__', 'answers', 'context', 'document_id', 'id', 'question', 'title'],\n","    num_rows: 3952\n","})\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"WPK2cywi9fP-"},"source":["## Title"]},{"cell_type":"code","metadata":{"id":"tK6afvvsGznd"},"source":["train_title_len = [len(i) for i in train_dataset['title']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"EIF9QRxx9i9F","executionInfo":{"status":"ok","timestamp":1620001296089,"user_tz":-540,"elapsed":15739,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"b418725c-3652-4649-9efd-007c54193bcd"},"source":["pd.DataFrame(train_title_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>7.511387</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>4.823314</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>6.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>57.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean      7.511387\n","std       4.823314\n","min       1.000000\n","25%       4.000000\n","50%       6.000000\n","75%       9.000000\n","max      57.000000"]},"metadata":{"tags":[]},"execution_count":6}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"PJcBmyG19p9n","executionInfo":{"status":"ok","timestamp":1620001296089,"user_tz":-540,"elapsed":15705,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"3cc0b7ac-6a48-4192-f230-0c0af6218a5e"},"source":["plt.bar(Counter(train_title_len).keys(),Counter(train_title_len).values())\n","plt.xlim(0,60)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"fLdAn1vP9sN_"},"source":["## Context"]},{"cell_type":"markdown","metadata":{"id":"IU7DBriJKKrx"},"source":["### Charater"]},{"cell_type":"code","metadata":{"id":"pX72aXY2G65j"},"source":["train_context_character_len = [len(i.replace('\\\\n\\\\n',' ')) for i in train_dataset['context']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"FoesDQ4YXd43","executionInfo":{"status":"ok","timestamp":1620001296090,"user_tz":-540,"elapsed":15671,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"96bf79b1-8278-4663-ace3-c53c32fc9fd4"},"source":["pd.DataFrame(train_context_character_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>912.295547</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>353.542469</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>510.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>640.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>813.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1090.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2049.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean    912.295547\n","std     353.542469\n","min     510.000000\n","25%     640.000000\n","50%     813.000000\n","75%    1090.000000\n","max    2049.000000"]},"metadata":{"tags":[]},"execution_count":9}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"pIcPwhooX5Se","executionInfo":{"status":"ok","timestamp":1620001298619,"user_tz":-540,"elapsed":18166,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"97676776-fb76-42ae-dbf6-e34f08b55d99"},"source":["plt.bar(Counter(train_context_character_len).keys(),Counter(train_context_character_len).values())\n","plt.xlim(500,2040)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"VhrBNF8sKNfX"},"source":["### Sentence"]},{"cell_type":"code","metadata":{"id":"tKErvlJMKPNq"},"source":["train_context_sentence_len = [len(kss.split_sentences(i.replace('\\\\n\\\\n',' '))) for i in train_dataset['context']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"X8rIy0EJKP3m","executionInfo":{"status":"ok","timestamp":1620001399560,"user_tz":-540,"elapsed":119072,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"b285886d-7a92-4a1f-ae70-64ef409f6ef2"},"source":["pd.DataFrame(train_context_sentence_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>12.821356</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>5.766130</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>12.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>56.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean     12.821356\n","std       5.766130\n","min       1.000000\n","25%       9.000000\n","50%      12.000000\n","75%      16.000000\n","max      56.000000"]},"metadata":{"tags":[]},"execution_count":12}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":269},"id":"55qwrW65KPsB","executionInfo":{"status":"ok","timestamp":1620001399560,"user_tz":-540,"elapsed":119039,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"5664854b-9372-4ed2-a454-a246e9de5513"},"source":["plt.bar(Counter(train_context_sentence_len).keys(),Counter(train_context_sentence_len).values())\n","plt.xlim(0,60)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"gm9x_WES-WJ5"},"source":["## Question"]},{"cell_type":"code","metadata":{"id":"g_PaqKEMHRLt"},"source":["train_question_len = [len(i) for i in train_dataset['question']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"UuOfeUJ9VRpd","executionInfo":{"status":"ok","timestamp":1620001399561,"user_tz":-540,"elapsed":119005,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"3b1bc563-09a7-4ec0-d4c6-1f56a2a78193"},"source":["pd.DataFrame(train_question_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>29.322368</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>8.727421</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>8.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>23.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>29.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>35.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>78.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean     29.322368\n","std       8.727421\n","min       8.000000\n","25%      23.000000\n","50%      29.000000\n","75%      35.000000\n","max      78.000000"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":266},"id":"Jb46TBbCYjbz","executionInfo":{"status":"ok","timestamp":1620001400082,"user_tz":-540,"elapsed":119493,"user":{"displayName":"­김남혁 | 서울 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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"cjn1SrcK-o4a"},"source":["## Answers"]},{"cell_type":"code","metadata":{"id":"hLvsbKuCHcEG"},"source":["train_answer_len = [len(i['text'][0]) for i in train_dataset['answers']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"xui9KUOD-qSV","executionInfo":{"status":"ok","timestamp":1620001400083,"user_tz":-540,"elapsed":119459,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"f7e4d60a-68cd-43fb-9d72-71bd58f0de22"},"source":["pd.DataFrame(train_answer_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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","        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        0\n","count  3952.000000\n","mean      6.275051\n","std       5.346842\n","min       1.000000\n","25%       3.000000\n","50%       5.000000\n","75%       8.000000\n","max      83.000000"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":390},"id":"KAGI3mxJb1yU","executionInfo":{"status":"ok","timestamp":1620001400084,"user_tz":-540,"elapsed":119427,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"403c6332-605d-41f2-b08e-3d752c62d6ad"},"source":["pd.DataFrame(train_answer_len).describe(percentiles = [0.75,0.8,0.9,0.95,0.99])"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>6.275051</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>5.346842</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>5.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>8.000000</td>\n","    </tr>\n","    <tr>\n","      <th>80%</th>\n","      <td>8.000000</td>\n","    </tr>\n","    <tr>\n","      <th>90%</th>\n","      <td>12.000000</td>\n","    </tr>\n","    <tr>\n","      <th>95%</th>\n","      <td>15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>99%</th>\n","      <td>27.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>83.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean      6.275051\n","std       5.346842\n","min       1.000000\n","50%       5.000000\n","75%       8.000000\n","80%       8.000000\n","90%      12.000000\n","95%      15.000000\n","99%      27.000000\n","max      83.000000"]},"metadata":{"tags":[]},"execution_count":19}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"PKU0Q94K-ze0","executionInfo":{"status":"ok","timestamp":1620001400429,"user_tz":-540,"elapsed":119738,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"cd226d6f-c425-471d-aaf6-0182e9892dec"},"source":["plt.bar(Counter(train_answer_len).keys(),Counter(train_answer_len).values())\n","plt.xlim(0,85)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"8aVC85Bt_Keb"},"source":["## Total"]},{"cell_type":"code","metadata":{"id":"WMG0r7J2_KJe"},"source":["train_total = np.array(train_title_len) + np.array(train_context_character_len) + np.array(train_question_len) + np.array(train_answer_len)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"DCKtPzxWAD-c","executionInfo":{"status":"ok","timestamp":1620001400430,"user_tz":-540,"elapsed":119704,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"a639ff8b-2c61-407a-ad64-33d714784116"},"source":["pd.DataFrame(train_total).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3952.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>955.404352</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>354.039138</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>531.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>683.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>854.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1134.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2105.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count  3952.000000\n","mean    955.404352\n","std     354.039138\n","min     531.000000\n","25%     683.000000\n","50%     854.000000\n","75%    1134.000000\n","max    2105.000000"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"b5NR16bNAIdp","executionInfo":{"status":"ok","timestamp":1620001402666,"user_tz":-540,"elapsed":121907,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"dd761afc-056e-40e6-b513-79ee97d204ed"},"source":["plt.bar(Counter(train_total).keys(),Counter(train_total).values())\n","plt.xlim(530,2110)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"6SaU8ULgeNiy"},"source":["# Validation"]},{"cell_type":"markdown","metadata":{"id":"HqHqr4JfeVWn"},"source":["## 데이터 불러오기"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1uuA1ldNeLts","executionInfo":{"status":"ok","timestamp":1620001402667,"user_tz":-540,"elapsed":121876,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"0c681394-d648-4264-b9f8-2190627e7ac7"},"source":["validation_dataset = load_from_disk('/content/data/train_dataset/validation')\n","print(validation_dataset)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Dataset({\n","    features: ['__index_level_0__', 'answers', 'context', 'document_id', 'id', 'question', 'title'],\n","    num_rows: 240\n","})\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"2BfPV-cyeqi0"},"source":["## Title"]},{"cell_type":"code","metadata":{"id":"xSFKxKt6ei1D"},"source":["validation_title_len = [len(i) for i in validation_dataset['title']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"YsBNPBCIfND_","executionInfo":{"status":"ok","timestamp":1620001402669,"user_tz":-540,"elapsed":121844,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"79f830c5-8e36-4e92-9585-35d5a4940bc8"},"source":["pd.DataFrame(validation_title_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>7.266667</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>4.389476</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>6.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>34.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0\n","count  240.000000\n","mean     7.266667\n","std      4.389476\n","min      2.000000\n","25%      4.000000\n","50%      6.000000\n","75%      9.000000\n","max     34.000000"]},"metadata":{"tags":[]},"execution_count":26}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"hmVBJDFifPkd","executionInfo":{"status":"ok","timestamp":1620001403228,"user_tz":-540,"elapsed":122383,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"9d3620ef-45e5-4ce9-df5a-80cb93d8919d"},"source":["plt.bar(Counter(validation_title_len).keys(),Counter(validation_title_len).values())\n","plt.xlim(0,35)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"_aa0ZZQGfVeJ"},"source":["## Context"]},{"cell_type":"markdown","metadata":{"id":"IGmmK-v1fXxR"},"source":["### Charater"]},{"cell_type":"code","metadata":{"id":"JinBHxO7fWqW"},"source":["validation_context_character_len = [len(i.replace('\\\\n\\\\n',' ')) for i in validation_dataset['context']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"n6jRvPvEfhKu","executionInfo":{"status":"ok","timestamp":1620001403229,"user_tz":-540,"elapsed":122362,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"5827c076-c801-4b19-a137-c9f62581a291"},"source":["pd.DataFrame(validation_context_character_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>909.125000</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>357.042619</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>508.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>613.750000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>813.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1098.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2034.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count   240.000000\n","mean    909.125000\n","std     357.042619\n","min     508.000000\n","25%     613.750000\n","50%     813.000000\n","75%    1098.000000\n","max    2034.000000"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"z0euaDbuflLS","executionInfo":{"status":"ok","timestamp":1620001403650,"user_tz":-540,"elapsed":122764,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"62450041-4ce1-4587-b7ff-f28acd8674c8"},"source":["plt.bar(Counter(validation_context_character_len).keys(),Counter(validation_context_character_len).values())\n","plt.xlim(500,2040)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"2sSUeSG4ftF6"},"source":["### Sentence"]},{"cell_type":"code","metadata":{"id":"QDq7meL3ft0J"},"source":["validation_context_sentence_len = [len(kss.split_sentences(i.replace('\\\\n\\\\n',' '))) for i in validation_dataset['context']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"5fM9XVKDf0sy","executionInfo":{"status":"ok","timestamp":1620001410161,"user_tz":-540,"elapsed":129254,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"74914ad7-1304-4a39-d76e-71cbbc9ec8a5"},"source":["pd.DataFrame(validation_context_sentence_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>12.891667</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>5.870707</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>12.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>37.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0\n","count  240.000000\n","mean    12.891667\n","std      5.870707\n","min      2.000000\n","25%      9.000000\n","50%     12.000000\n","75%     16.000000\n","max     37.000000"]},"metadata":{"tags":[]},"execution_count":32}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":266},"id":"soz3HPAnf4FV","executionInfo":{"status":"ok","timestamp":1620001410162,"user_tz":-540,"elapsed":129235,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"9e133abc-6511-4d52-94c1-f4302221bc64"},"source":["plt.bar(Counter(validation_context_sentence_len).keys(),Counter(validation_context_sentence_len).values())\n","plt.xlim(0,40)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"7MqgIlXDf8j4"},"source":["## Question"]},{"cell_type":"code","metadata":{"id":"O4Kc3Gmqf99U"},"source":["validation_question_len = [len(i) for i in validation_dataset['question']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"pNsctc4Cf_Ni","executionInfo":{"status":"ok","timestamp":1620001410163,"user_tz":-540,"elapsed":129215,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"fb9607b1-dd78-4ae0-cb7c-2a5ac28cd633"},"source":["pd.DataFrame(validation_question_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>29.195833</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>8.728301</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>9.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>23.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>29.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>35.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>59.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0\n","count  240.000000\n","mean    29.195833\n","std      8.728301\n","min      9.000000\n","25%     23.000000\n","50%     29.000000\n","75%     35.000000\n","max     59.000000"]},"metadata":{"tags":[]},"execution_count":35}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"dcprFAsZgAzR","executionInfo":{"status":"ok","timestamp":1620001410624,"user_tz":-540,"elapsed":129656,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"b164559d-3184-4669-aca5-0293d787a698"},"source":["plt.bar(Counter(validation_question_len).keys(),Counter(validation_question_len).values())\n","plt.xlim(8,60)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"gT-WvHRegNBc"},"source":["## Answers"]},{"cell_type":"code","metadata":{"id":"tXdWq73tgL3z"},"source":["validation_answer_len = [len(i['text'][0]) for i in validation_dataset['answers']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"GG-4qU1VgOtr","executionInfo":{"status":"ok","timestamp":1620001410625,"user_tz":-540,"elapsed":129636,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"4d371646-a44f-46e8-bd16-1f4e3d7a00c1"},"source":["pd.DataFrame(validation_answer_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>6.912500</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>6.858755</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>3.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>5.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>8.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>64.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0\n","count  240.000000\n","mean     6.912500\n","std      6.858755\n","min      1.000000\n","25%      3.000000\n","50%      5.000000\n","75%      8.000000\n","max     64.000000"]},"metadata":{"tags":[]},"execution_count":38}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"RAEnYYY2gOey","executionInfo":{"status":"ok","timestamp":1620001410934,"user_tz":-540,"elapsed":129925,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"d5df9448-3b70-4c47-912b-2f07d701171c"},"source":["plt.bar(Counter(validation_answer_len).keys(),Counter(validation_answer_len).values())\n","plt.xlim(0,65)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"BoQIEleMgaPt"},"source":["## Total"]},{"cell_type":"code","metadata":{"id":"Z127302Pga41"},"source":["validation_total = np.array(validation_title_len) + np.array(validation_context_character_len) + np.array(validation_question_len) + np.array(validation_answer_len)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"pjG36lV8gblt","executionInfo":{"status":"ok","timestamp":1620001410936,"user_tz":-540,"elapsed":129906,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"2a8c0177-524c-485f-c33c-9918e02951c3"},"source":["pd.DataFrame(validation_total).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>240.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>952.500000</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>356.354156</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>540.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>654.750000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>861.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1140.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2068.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 0\n","count   240.000000\n","mean    952.500000\n","std     356.354156\n","min     540.000000\n","25%     654.750000\n","50%     861.000000\n","75%    1140.000000\n","max    2068.000000"]},"metadata":{"tags":[]},"execution_count":41}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"4ZrwzTA1gbSI","executionInfo":{"status":"ok","timestamp":1620001411684,"user_tz":-540,"elapsed":130634,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"743b8adb-dfbe-404a-9bfd-8fc8a3314339"},"source":["plt.bar(Counter(validation_total).keys(),Counter(validation_total).values())\n","plt.xlim(540,2070)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"qkTIfyy9gyjy"},"source":["# Test"]},{"cell_type":"markdown","metadata":{"id":"lTjVXR6yg3c0"},"source":["## 데이터 불러오기"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gZ14IAoZgvvB","executionInfo":{"status":"ok","timestamp":1620001411685,"user_tz":-540,"elapsed":130614,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"1faccc24-fd53-442b-f7ed-08d632a66662"},"source":["test_dataset = load_from_disk('/content/data/test_dataset/validation')\n","print(test_dataset)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Dataset({\n","    features: ['id', 'question'],\n","    num_rows: 600\n","})\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"zOZt5A5KhCjx"},"source":["## Question"]},{"cell_type":"code","metadata":{"id":"-fqSlxL-hDTa"},"source":["test_question_len = [len(i) for i in test_dataset['question']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"JO87fFHOhFRK","executionInfo":{"status":"ok","timestamp":1620001411686,"user_tz":-540,"elapsed":130593,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"de4b5161-3697-4f64-d2f2-5d425048c698"},"source":["pd.DataFrame(test_question_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>600.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>29.555000</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>8.962376</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>8.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>23.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>29.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>35.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>62.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0\n","count  600.000000\n","mean    29.555000\n","std      8.962376\n","min      8.000000\n","25%     23.000000\n","50%     29.000000\n","75%     35.000000\n","max     62.000000"]},"metadata":{"tags":[]},"execution_count":45}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"mruf7yWVhGYR","executionInfo":{"status":"ok","timestamp":1620001412081,"user_tz":-540,"elapsed":130968,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"2f847bf8-955a-484c-b371-bbc036451c0b"},"source":["plt.bar(Counter(test_question_len).keys(),Counter(test_question_len).values())\n","plt.xlim(7,63)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAOB0lEQVR4nO3db4hl9X3H8fcn/iGpStU4LIu6HduI4oO6ymAUJRitYfOHxoCESGuX1rJ5oKBgKVufJOkfMNBo+6BIN9G6D4yJ+KeKCUmWrZAGyqarbuLqVjR2pbus7oqKtg8sq98+uGfMdJzZe2fm3pn53Xm/YLjn/M65c78/5uxnf/zmd86kqpAktecjK12AJGlxDHBJapQBLkmNMsAlqVEGuCQ16vjl/LAzzjijJicnl/MjJal5Tz311OtVNTG7fVkDfHJykt27dy/nR0pS85K8Mle7UyiS1CgDXJIaZYBLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRhngktSoZb0TUxqWya0/+FDb/js+vwKVSCvHEbgkNcoAl6RG9Q3wJB9N8vMkv0jyXJJvdO3nJNmV5KUk309y4ujLlSRNG2QE/i5wVVVdCGwENiW5FPgmcFdVfQJ4E7hxdGVKkmbrG+DV89/d7gndVwFXAQ917duBa0dSoSRpTgPNgSc5Lske4DCwA/gV8FZVHe1OOQCcOc97tyTZnWT3kSNHhlGzJIkBA7yq3quqjcBZwCXA+YN+QFVtq6qpqpqamPjQH5SQJC3SglahVNVbwJPAZcCpSabXkZ8FHBxybZKkYxhkFcpEklO77Y8B1wD76AX5dd1pm4HHRlWkJOnDBrkTcz2wPclx9AL/wap6IsnzwPeS/DXwDHDPCOuUJM3SN8Cr6pfARXO0v0xvPlyStAK8E1OSGmWAS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEYZ4JLUKANckhplgEtSowxwSWqUAS5JjTLAJalRBrgkNWqQ54FLTG79wYfa9t/x+Wa+vzSOHIFLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRrmMUCMx37JAlwtKw+MIXJIaZYBLUqMMcElqVN8AT3J2kieTPJ/kuSS3dO1fT3IwyZ7u63OjL1eSNG2QX2IeBW6rqqeTnAI8lWRHd+yuqvrb0ZUnSZpP3wCvqkPAoW77nST7gDNHXZgk6dgWtIwwySRwEbALuBy4OckfAbvpjdLfnOM9W4AtABs2bFhiuZrPQpftjetyvnHtlzSXgX+JmeRk4GHg1qp6G7gb+B1gI70R+rfmel9VbauqqaqampiYGELJkiQYMMCTnEAvvO+vqkcAquq1qnqvqt4Hvg1cMroyJUmzDbIKJcA9wL6qunNG+/oZp30J2Dv88iRJ8xlkDvxy4Abg2SR7urbbgeuTbAQK2A98dSQVSpLmNMgqlJ8BmePQD4dfjiRpUD7MqjGrbZXFaqtnoVqvX2ubt9JLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRhngktQoA1ySGmWAS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEYZ4JLUKANckhplgEtSowxwSWqUAS5JjTLAJalR/lFjrQn+8WKNI0fgktQoA1ySGtU3wJOcneTJJM8neS7JLV376Ul2JHmxez1t9OVKkqYNMgI/CtxWVRcAlwI3JbkA2ArsrKpzgZ3dviRpmfQN8Ko6VFVPd9vvAPuAM4EvAtu707YD146qSEnShy1oDjzJJHARsAtYV1WHukOvAuvmec+WJLuT7D5y5MgSSpUkzTRwgCc5GXgYuLWq3p55rKoKqLneV1XbqmqqqqYmJiaWVKwk6dcGCvAkJ9AL7/ur6pGu+bUk67vj64HDoylRkjSXQVahBLgH2FdVd8449DiwudveDDw2/PIkSfMZ5E7My4EbgGeT7OnabgfuAB5MciPwCvDl0ZQoSZpL3wCvqp8Bmefw1cMtR5I0KO/ElKRG+TCrFeZDltriz0uriSNwSWqUAS5JjTLAJalRBrgkNcoAl6RGGeCS1CgDXJIaZYBLUqMMcElqlAEuSY0ywCWpUQa4JDXKh1np//FhTVI7HIFLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRrmMcJm4PG+8jfrn6/WjuTgCl6RGGeCS1Ki+AZ7k3iSHk+yd0fb1JAeT7Om+PjfaMiVJsw0yAr8P2DRH+11VtbH7+uFwy5Ik9dM3wKvqp8Aby1CLJGkBljIHfnOSX3ZTLKcNrSJJ0kAWu4zwbuCvgOpevwX8yVwnJtkCbAHYsGHDIj9Oa9W4Lp8b135peS1qBF5Vr1XVe1X1PvBt4JJjnLutqqaqampiYmKxdUqSZllUgCdZP2P3S8De+c6VJI1G3ymUJA8AVwJnJDkAfA24MslGelMo+4GvjrBGSdIc+gZ4VV0/R/M9I6hFkrQA3okpSY3yYVbSKuLqFC2EI3BJapQBLkmNMsAlqVEGuCQ1ygCXpEYZ4JLUKJcRrlIuJ5PUjyNwSWqUAS5JjTLAJalRBrgkNcoAl6RGGeCS1CiXES6Sy/w0CK8TjZIjcElqlAEuSY0ywCWpUQa4JDXKAJekRrkKRZqDq0fUAkfgktQoA1ySGmWAS1Kj+gZ4knuTHE6yd0bb6Ul2JHmxez1ttGVKkmYbZAR+H7BpVttWYGdVnQvs7PYlScuob4BX1U+BN2Y1fxHY3m1vB64dcl2SpD4WOwe+rqoOdduvAuvmOzHJliS7k+w+cuTIIj9OkjTbkn+JWVUF1DGOb6uqqaqampiYWOrHSZI6iw3w15KsB+heDw+vJEnSIBYb4I8Dm7vtzcBjwylHkjSoQZYRPgD8G3BekgNJbgTuAK5J8iLwe92+JGkZ9X0WSlVdP8+hq4dciyRpAbwTU5Ia5dMIOz59TlJrHIFLUqMMcElqlAEuSY0ywCWpUQa4JDXKVShD5moWLaf5rjevw7XBEbgkNcoAl6RGGeCS1CgDXJIaZYBLUqMMcElqlAEuSY0ywCWpUQa4JDXKAJekRhngktQoA1ySGmWAS1KjfBphHz7VTdJq5QhckhplgEtSo5Y0hZJkP/AO8B5wtKqmhlGUJKm/YcyBf7qqXh/C95EkLYBTKJLUqKWOwAv4SZIC/rGqts0+IckWYAvAhg0blvhxkkbB1VZtWuoI/Iqquhj4LHBTkk/NPqGqtlXVVFVNTUxMLPHjJEnTlhTgVXWwez0MPApcMoyiJEn9LTrAk5yU5JTpbeAzwN5hFSZJOralzIGvAx5NMv19vltVPxpKVZKkvhYd4FX1MnDhEGuRJC2AywglqVFr7mFWLpfSWub1P14cgUtSowxwSWqUAS5JjTLAJalRBrgkNcoAl6RGje0yQpdLSRp3jsAlqVEGuCQ1ygCXpEYZ4JLUKANckho1tqtQJC3d7NVc/VZyLfT81fS5861cW80r2hyBS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEat6DLC+Zb+LGRJ0Gpe4iOpZxj/1pfj/JWwlAxzBC5JjTLAJalRBrgkNWpJAZ5kU5IXkryUZOuwipIk9bfoAE9yHPAPwGeBC4Drk1wwrMIkSce2lBH4JcBLVfVyVf0v8D3gi8MpS5LUT6pqcW9MrgM2VdWfdvs3AJ+sqptnnbcF2NLtnge8sPhyP3AG8PoQvk8r1lJ/11Jfwf6Ou2H197eqamJ248jXgVfVNmDbML9nkt1VNTXM77maraX+rqW+gv0dd6Pu71KmUA4CZ8/YP6trkyQtg6UE+L8D5yY5J8mJwFeAx4dTliSpn0VPoVTV0SQ3Az8GjgPurarnhlbZsQ11SqYBa6m/a6mvYH/H3Uj7u+hfYkqSVpZ3YkpSowxwSWrUqg/wJPcmOZxk74y205PsSPJi93raStY4LEnOTvJkkueTPJfklq59XPv70SQ/T/KLrr/f6NrPSbKre0TD97tfko+FJMcleSbJE93+2PYVIMn+JM8m2ZNkd9c2rtfzqUkeSvIfSfYluWzUfV31AQ7cB2ya1bYV2FlV5wI7u/1xcBS4raouAC4FbuoeTzCu/X0XuKqqLgQ2ApuSXAp8E7irqj4BvAncuII1DtstwL4Z++Pc12mfrqqNM9ZDj+v1/PfAj6rqfOBCej/n0fa1qlb9FzAJ7J2x/wKwvtteD7yw0jWOqN+PAdeshf4CvwE8DXyS3p1rx3ftlwE/Xun6htTHs7p/xFcBTwAZ177O6PN+4IxZbWN3PQO/Cfwn3cKQ5eprCyPwuayrqkPd9qvAupUsZhSSTAIXAbsY4/52Uwp7gMPADuBXwFtVdbQ75QBw5krVN2R/B/w58H63/3HGt6/TCvhJkqe6x2rAeF7P5wBHgH/qpsi+k+QkRtzXVgP8A9X7r22s1kImORl4GLi1qt6eeWzc+ltV71XVRnqj00uA81e4pJFI8gXgcFU9tdK1LLMrqupiek8tvSnJp2YeHKPr+XjgYuDuqroI+B9mTZeMoq+tBvhrSdYDdK+HV7ieoUlyAr3wvr+qHumax7a/06rqLeBJetMIpyaZvslsXB7RcDnw+0n203ty51X05kzHsa8fqKqD3eth4FF6/0mP4/V8ADhQVbu6/YfoBfpI+9pqgD8ObO62N9ObK25ekgD3APuq6s4Zh8a1vxNJTu22P0Zvvn8fvSC/rjttLPpbVX9RVWdV1SS9x078S1X9AWPY12lJTkpyyvQ28BlgL2N4PVfVq8B/JTmva7oaeJ4R93XV34mZ5AHgSnqPZXwN+Brwz8CDwAbgFeDLVfXGStU4LEmuAP4VeJZfz5PeTm8efBz7+7vAdnqPYvgI8GBV/WWS36Y3Sj0deAb4w6p6d+UqHa4kVwJ/VlVfGOe+dn17tNs9HvhuVf1Nko8zntfzRuA7wInAy8Af013XjKivqz7AJUlza3UKRZLWPANckhplgEtSowxwSWqUAS5JjTLAJalRBrgkNer/AFe/zX5SQ4PwAAAAAElFTkSuQmCC\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"VvmOPB3EVBbD"},"source":["# Wikipedia"]},{"cell_type":"code","metadata":{"id":"h2hDXm2ZVB6H"},"source":["with open('/content/data/wikipedia_documents.json', 'r') as f:\n","    wiki_data = pd.DataFrame(json.load(f)).transpose()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"h-vNedl4oW4w","executionInfo":{"status":"ok","timestamp":1620001418685,"user_tz":-540,"elapsed":137551,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"2fdcaccd-06ea-4d3b-ad25-8998e8b9662d"},"source":["wiki_data"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>text</th>\n","      <th>corpus_source</th>\n","      <th>url</th>\n","      <th>domain</th>\n","      <th>title</th>\n","      <th>author</th>\n","      <th>html</th>\n","      <th>document_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>이 문서는 나라 목록이며, 전 세계 206개 나라의 각 현황과 주권 승인 정보를 개...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>나라 목록</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>이 목록에 실린 국가 기준은 1933년 몬테비데오 협약 1장을 참고로 하였다. 협정...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>나라 목록</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>현 서울특별시 종로구 서린동 (구 일제 강점기 경기도 경성부 서린정) 출신이다. 친...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>백남준</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>아오조라 문고(靑空文庫, あおぞらぶんこ|아오조라 분고)는 ‘일본어판 구텐베르크 프로...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>아오조라 문고</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>저자 사망 이후 50년이 지나 저작권이 소멸한 메이지 시대부터 쇼와 시대 초기까지의...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>아오조라 문고</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>60608</th>\n","      <td>오키나와 현립 박물관·미술관( , Okinawa Prefectural Museum ...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60608</td>\n","    </tr>\n","    <tr>\n","      <th>60609</th>\n","      <td>1936년 7월, 오키나와현 교육위원회 부설 향토 박물관(沖縄県教育会附設郷土博物館)...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60609</td>\n","    </tr>\n","    <tr>\n","      <th>60610</th>\n","      <td>박물관은 개관 10주년이되는 2017년에 관의 애칭 및 마스코트를 일반인에게 공모했...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60610</td>\n","    </tr>\n","    <tr>\n","      <th>60611</th>\n","      <td>단결권 및 단체교섭권 협약(Right to Organise and Collectiv...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>단결권 및 단체교섭권 협약</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60611</td>\n","    </tr>\n","    <tr>\n","      <th>60612</th>\n","      <td>이 협약은 부당노동행위 제도를 규율하고 있다. 협약 제1조에서 반노동조합 차별행위로...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>단결권 및 단체교섭권 협약</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60612</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>60613 rows × 8 columns</p>\n","</div>"],"text/plain":["                                                    text  ... document_id\n","0      이 문서는 나라 목록이며, 전 세계 206개 나라의 각 현황과 주권 승인 정보를 개...  ...           0\n","1      이 목록에 실린 국가 기준은 1933년 몬테비데오 협약 1장을 참고로 하였다. 협정...  ...           1\n","2      현 서울특별시 종로구 서린동 (구 일제 강점기 경기도 경성부 서린정) 출신이다. 친...  ...           2\n","3      아오조라 문고(靑空文庫, あおぞらぶんこ|아오조라 분고)는 ‘일본어판 구텐베르크 프로...  ...           3\n","4      저자 사망 이후 50년이 지나 저작권이 소멸한 메이지 시대부터 쇼와 시대 초기까지의...  ...           4\n","...                                                  ...  ...         ...\n","60608  오키나와 현립 박물관·미술관( , Okinawa Prefectural Museum ...  ...       60608\n","60609  1936년 7월, 오키나와현 교육위원회 부설 향토 박물관(沖縄県教育会附設郷土博物館)...  ...       60609\n","60610  박물관은 개관 10주년이되는 2017년에 관의 애칭 및 마스코트를 일반인에게 공모했...  ...       60610\n","60611  단결권 및 단체교섭권 협약(Right to Organise and Collectiv...  ...       60611\n","60612  이 협약은 부당노동행위 제도를 규율하고 있다. 협약 제1조에서 반노동조합 차별행위로...  ...       60612\n","\n","[60613 rows x 8 columns]"]},"metadata":{"tags":[]},"execution_count":48}]},{"cell_type":"code","metadata":{"id":"Ha0rOGQdoPrJ"},"source":["wiki_data = wiki_data.drop_duplicates(['text']) # 3876\n","\n","wiki_data = wiki_data.reset_index()\n","\n","del wiki_data['index']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"NkmoKwSioYd5","executionInfo":{"status":"ok","timestamp":1620001418990,"user_tz":-540,"elapsed":137835,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"64318a80-2447-4f03-b11b-1414bef4cb08"},"source":["wiki_data"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>text</th>\n","      <th>corpus_source</th>\n","      <th>url</th>\n","      <th>domain</th>\n","      <th>title</th>\n","      <th>author</th>\n","      <th>html</th>\n","      <th>document_id</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>이 문서는 나라 목록이며, 전 세계 206개 나라의 각 현황과 주권 승인 정보를 개...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>나라 목록</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>이 목록에 실린 국가 기준은 1933년 몬테비데오 협약 1장을 참고로 하였다. 협정...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>나라 목록</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>현 서울특별시 종로구 서린동 (구 일제 강점기 경기도 경성부 서린정) 출신이다. 친...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>백남준</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>아오조라 문고(靑空文庫, あおぞらぶんこ|아오조라 분고)는 ‘일본어판 구텐베르크 프로...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>아오조라 문고</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>저자 사망 이후 50년이 지나 저작권이 소멸한 메이지 시대부터 쇼와 시대 초기까지의...</td>\n","      <td>위키피디아</td>\n","      <td>TODO</td>\n","      <td>None</td>\n","      <td>아오조라 문고</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>56732</th>\n","      <td>오키나와 현립 박물관·미술관( , Okinawa Prefectural Museum ...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60608</td>\n","    </tr>\n","    <tr>\n","      <th>56733</th>\n","      <td>1936년 7월, 오키나와현 교육위원회 부설 향토 박물관(沖縄県教育会附設郷土博物館)...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60609</td>\n","    </tr>\n","    <tr>\n","      <th>56734</th>\n","      <td>박물관은 개관 10주년이되는 2017년에 관의 애칭 및 마스코트를 일반인에게 공모했...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>오키나와 현립 박물관·미술관</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60610</td>\n","    </tr>\n","    <tr>\n","      <th>56735</th>\n","      <td>단결권 및 단체교섭권 협약(Right to Organise and Collectiv...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>단결권 및 단체교섭권 협약</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60611</td>\n","    </tr>\n","    <tr>\n","      <th>56736</th>\n","      <td>이 협약은 부당노동행위 제도를 규율하고 있다. 협약 제1조에서 반노동조합 차별행위로...</td>\n","      <td>위키피디아</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>단결권 및 단체교섭권 협약</td>\n","      <td>None</td>\n","      <td>None</td>\n","      <td>60612</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>56737 rows × 8 columns</p>\n","</div>"],"text/plain":["                                                    text  ... document_id\n","0      이 문서는 나라 목록이며, 전 세계 206개 나라의 각 현황과 주권 승인 정보를 개...  ...           0\n","1      이 목록에 실린 국가 기준은 1933년 몬테비데오 협약 1장을 참고로 하였다. 협정...  ...           1\n","2      현 서울특별시 종로구 서린동 (구 일제 강점기 경기도 경성부 서린정) 출신이다. 친...  ...           2\n","3      아오조라 문고(靑空文庫, あおぞらぶんこ|아오조라 분고)는 ‘일본어판 구텐베르크 프로...  ...           3\n","4      저자 사망 이후 50년이 지나 저작권이 소멸한 메이지 시대부터 쇼와 시대 초기까지의...  ...           4\n","...                                                  ...  ...         ...\n","56732  오키나와 현립 박물관·미술관( , Okinawa Prefectural Museum ...  ...       60608\n","56733  1936년 7월, 오키나와현 교육위원회 부설 향토 박물관(沖縄県教育会附設郷土博物館)...  ...       60609\n","56734  박물관은 개관 10주년이되는 2017년에 관의 애칭 및 마스코트를 일반인에게 공모했...  ...       60610\n","56735  단결권 및 단체교섭권 협약(Right to Organise and Collectiv...  ...       60611\n","56736  이 협약은 부당노동행위 제도를 규율하고 있다. 협약 제1조에서 반노동조합 차별행위로...  ...       60612\n","\n","[56737 rows x 8 columns]"]},"metadata":{"tags":[]},"execution_count":50}]},{"cell_type":"code","metadata":{"id":"MI6HNMepVd9T"},"source":["wiki_data['len'] = [len(i) for i in wiki_data['text']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ACFNkUCUV1Pw","executionInfo":{"status":"ok","timestamp":1620001419983,"user_tz":-540,"elapsed":138804,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"7bc77c22-3cb7-4647-b82d-2662b7356670"},"source":["wiki_data['len'].describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["count    56737.000000\n","mean       750.820593\n","std        698.576330\n","min        184.000000\n","25%        416.000000\n","50%        578.000000\n","75%        856.000000\n","max      46099.000000\n","Name: len, dtype: float64"]},"metadata":{"tags":[]},"execution_count":53}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gyLApM0JV6Au","executionInfo":{"status":"ok","timestamp":1620001419984,"user_tz":-540,"elapsed":138786,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"69890ebc-cb9a-43b6-8e05-c1dfc9758ec5"},"source":["wiki_data['len'].describe([0.8,0.9,0.95,0.99])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["count    56737.000000\n","mean       750.820593\n","std        698.576330\n","min        184.000000\n","50%        578.000000\n","80%        950.000000\n","90%       1293.000000\n","95%       1715.000000\n","99%       3074.920000\n","max      46099.000000\n","Name: len, dtype: float64"]},"metadata":{"tags":[]},"execution_count":54}]},{"cell_type":"code","metadata":{"id":"zkFwFoEqmTWQ"},"source":["sorted(set(wiki_data['len'].to_list()),reverse=True)[:500]"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"o2wFGLm_CJHD"},"source":["# KorQuAD 1.0"]},{"cell_type":"code","metadata":{"id":"LHePYN_VCOU6"},"source":["dataset = load_dataset('squad_kor_v1')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"_ceXgxRrCYx7"},"source":["korquad_context_character_len = [len(i.replace('\\\\n\\\\n',' ')) for i in set(dataset['train']['context'])]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"BlBTloKRCnFG","executionInfo":{"status":"ok","timestamp":1620092564530,"user_tz":-540,"elapsed":1228,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"4fa40a93-dfd5-4ff4-c1b5-b9f260c46dda"},"source":["pd.DataFrame(korquad_context_character_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>9606.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>516.765771</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>209.474178</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>348.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>395.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>460.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>569.750000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>10012.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                  0\n","count   9606.000000\n","mean     516.765771\n","std      209.474178\n","min      348.000000\n","25%      395.000000\n","50%      460.000000\n","75%      569.750000\n","max    10012.000000"]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":359},"id":"cEE8uCrWC3-D","executionInfo":{"status":"ok","timestamp":1620092646869,"user_tz":-540,"elapsed":853,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"edb68045-2c58-4313-af2b-daa94b3b95a7"},"source":["pd.DataFrame(korquad_context_character_len).describe([0.8,0.9,0.95,0.99])"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>9606.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>516.765771</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>209.474178</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>348.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>460.000000</td>\n","    </tr>\n","    <tr>\n","      <th>80%</th>\n","      <td>608.000000</td>\n","    </tr>\n","    <tr>\n","      <th>90%</th>\n","      <td>728.500000</td>\n","    </tr>\n","    <tr>\n","      <th>95%</th>\n","      <td>855.750000</td>\n","    </tr>\n","    <tr>\n","      <th>99%</th>\n","      <td>1210.850000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>10012.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                  0\n","count   9606.000000\n","mean     516.765771\n","std      209.474178\n","min      348.000000\n","50%      460.000000\n","80%      608.000000\n","90%      728.500000\n","95%      855.750000\n","99%     1210.850000\n","max    10012.000000"]},"metadata":{"tags":[]},"execution_count":12}]},{"cell_type":"code","metadata":{"id":"SxRSo1tkDBnI"},"source":["sorted(korquad_context_character_len,reverse=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"f58XOeWJCr8N","executionInfo":{"status":"ok","timestamp":1620092738512,"user_tz":-540,"elapsed":2241,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"4f41f1ed-b45f-49d5-f4c2-386188f55564"},"source":["plt.bar(Counter(korquad_context_character_len).keys(),Counter(korquad_context_character_len).values())\n","plt.xlim(0,2700)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"QVmRK6idzym6"},"source":["# KorQuAD 2.0"]},{"cell_type":"code","metadata":{"id":"nXCMgHxUz2BL"},"source":["dataset = load_dataset('squad_kor_v2')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"vffw7fkaz4yJ"},"source":["korquad_context_character_len = [len(i.replace('\\\\n\\\\n',' ')) for i in set(dataset['train']['context'])]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"ZQUKBaF30Bya","executionInfo":{"status":"ok","timestamp":1620106008870,"user_tz":-540,"elapsed":44957,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"d80c6cb4-758a-4284-a3ec-f083b60cea95"},"source":["pd.DataFrame(korquad_context_character_len).describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>38486.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>19804.538611</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>19823.084986</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>3876.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>9476.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>14263.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>22682.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>690832.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                   0\n","count   38486.000000\n","mean    19804.538611\n","std     19823.084986\n","min      3876.000000\n","25%      9476.000000\n","50%     14263.000000\n","75%     22682.000000\n","max    690832.000000"]},"metadata":{"tags":[]},"execution_count":6}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":359},"id":"cYuEf6am0D9q","executionInfo":{"status":"ok","timestamp":1620106008871,"user_tz":-540,"elapsed":44955,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"4eca8430-0da7-43c6-9e1e-a69ca9bc8209"},"source":["pd.DataFrame(korquad_context_character_len).describe([0.8,0.9,0.95,0.99])"],"execution_count":null,"outputs":[{"output_type":"execute_result","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>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>38486.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>19804.538611</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>19823.084986</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>3876.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>14263.000000</td>\n","    </tr>\n","    <tr>\n","      <th>80%</th>\n","      <td>25813.000000</td>\n","    </tr>\n","    <tr>\n","      <th>90%</th>\n","      <td>37231.000000</td>\n","    </tr>\n","    <tr>\n","      <th>95%</th>\n","      <td>51345.250000</td>\n","    </tr>\n","    <tr>\n","      <th>99%</th>\n","      <td>95181.550000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>690832.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                   0\n","count   38486.000000\n","mean    19804.538611\n","std     19823.084986\n","min      3876.000000\n","50%     14263.000000\n","80%     25813.000000\n","90%     37231.000000\n","95%     51345.250000\n","99%     95181.550000\n","max    690832.000000"]},"metadata":{"tags":[]},"execution_count":7}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"KbAHS6oM0Fic","executionInfo":{"status":"ok","timestamp":1620106427988,"user_tz":-540,"elapsed":68043,"user":{"displayName":"­김남혁 | 서울 수학과","photoUrl":"","userId":"02425184354385406709"}},"outputId":"28718800-6f7b-4dda-917d-316e26f9ba1d"},"source":["plt.bar(Counter(korquad_context_character_len).keys(),Counter(korquad_context_character_len).values())\n","plt.xlim(3800,100000)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]}]}