data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis\n",
    "We'll now explore the IBM Debater \"Debate Speech Analysis\" dataset and show, in particular:\n",
    "-   The number of samples in each split (train, validation, test)\n",
    "-   The class distributions in each split\n",
    "-   The overlap between the motion ids in the validation split w.r.t. the test split\n",
    "-   An histogram showing the distribution of the text lengths for train and validation split\n",
    "-   The 50 most frequent words containing an upper case character for the train split\n",
    "-   A pie chart showing the percentage of audio files with a certain sample rate (for train and validation splits)\n",
    "-   An histogram showing the distribution of the audio lengths in seconds for train and validation split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/prahtz/GoogleDrive/GitHub/stance-prediction/env/lib/python3.10/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from ibm_dataset import IBMDebater\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import librosa\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_path = 'data/ibm_debater/full'\n",
    "data_train = IBMDebater(data_path, 'train', load_text=True, load_audio=False, text_transform=None, chunk_length=None)\n",
    "data_val = IBMDebater(data_path, 'validation', load_text=True, load_audio=False, text_transform=None, chunk_length=None)\n",
    "data_test = IBMDebater(data_path, 'test', load_text=True, load_audio=False, text_transform=None, chunk_length=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Counting the samples in each data split\n",
    "sns.set(color_codes=True)\n",
    "train_metadata = data_train.annotations\n",
    "test_metadata = data_test.annotations\n",
    "val_metadata = data_val.annotations\n",
    "\n",
    "concatenated = pd.concat([train_metadata.assign(dataset='train'),\n",
    "                          val_metadata.assign(dataset='val'),\n",
    "                          test_metadata.assign(dataset='test')])\n",
    "\n",
    "sns.countplot(x='dataset', data=concatenated)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FoKS6GwK2LF8/HrgT2BrYAzi/XH4+sEdEzImIbcZr61jEkiRJG8iuoZJqKzOHI+JA4PsR8RAwG9gP2BG4PTPXlOutiYg7yuV9E7Qta/azBwZmtffLqGPmzJnd7RDUIR5rSdOZhaCk2oqIjYAPAa/JzP+OiBcC36boIjqlBgdXMjQ03NS6noxWy7JlK6Z0/x7v6mj2WPf393lxR1LPsWuopDp7DrBdZv43QPn7IWAVsH1EzAAof28HLC1/xmuTJEnqCd4RlFRntwE7RERkZkbE04FtgZuAxcBBwMLy97WZuQwgIsZtk6R2iIgBismsngqspshLf5eZyyJiGPh/FGOcoZjw6v+V2+0PfJriHO9q4K2Z+XCn45dUfd4RlFRbmXkXcDTwbxHxG+BfgSMyczlwFPDuiPgd8O7y/YiJ2iSpHYaBUzIzMnM34GZgfkP7CzLzOeXPSBE4C/gqsH9m/hWwAnhfpwOX1Bu8Iyip1jLzXODcMZbfCDxvnG3GbZOkdigvSF3esOgqigtXE9kX+HXDc03PpHjm6UltD1BSz7MQlCRJqrDy2aZHAxc1LL68nPDqP4ATM/MRYCdgScM6t1LMaCxJ67AQlCRJqrYvAiuB08v3O2Xm0ojYgmIc4fHAce36MGdA7U3OOFwf7TrWFoKSJEkVFRGnArtSjPsbAsjMpeXvByPiLOC95eq3Ai9p2HwnJjGjsY+36U0+2qY+WjnWEz3epiOFoDNfSZIktSYiPgHMA15Vdv0kIp4ArMrMP5VdQw+gmOUY4EfA6RGxazlO8CiKZ6NK0jo6NWuoM19JkiQ1KSKeCXyI4jmlV0TE4oj4LvA04BflTMe/Bf5M0TWUzFwBvAP4QUT8HtgSOLUb8Uuqvo7cEXTmK0mSpOZl5vVA3zjNfz3Bdt8Hvj8lQUmaVjo+RrDTM1854Lk32Q+9XjzekiRJndWNyWI6OvOVA557kwOe66XZ4z3RgGdJkiQ1r1NjBIG1Zr5641gzXwFnAS8sV78V2Llh80nNfCVJkiRJWlvHCsGGma9e2zjzVUTMLF+PNfPVcyNi1/K9M19JkiRJUht0pBB05itJkiRJqo5OzRrqzFeSJEmSVBEdHSMoSZIkSeo+C0FJkiRJqhkLQUmSJEmqGQtBSZIkSaoZC0FJkiRJqhkLQUmSJEmqGQtBSZIkSaoZC0FJkiRJqhkLQUmSJEmqGQtBSZIkSaoZC0FJkiRJqhkLQUmSJEmqGQtBSZIkSaoZC0FJkiRJqhkLQUmSJEmqGQtBSZIkSaoZC0FJkiRJqhkLQUmSJEmqGQtBSZIkSaqZpgvBiHjfOMvf275wJGld5513zpjLzT+SqsxzJ0lV1sodwY+Os/y4dgQiSeP5xjfOGq/J/COpyjx3klRZG61vhYh4aflyRkS8BOhraH4KsGIqApOkq6/+FQBDQ2u45ppfA8NsscVMFixY8Pwrr7zyZZh/JFVQO86dImIAOAd4KrAauAn4u8xcFhF7AguAmcAtwKGZeU+53bhtktRovYUg8LXy96bA1xuWDwN3Ae9ud1CSBDB//scBWL16NZ/85EkA9Pf3cffdd38KuA3zj6Rqase50zBwSmZeDhARnwbmR8TbgYXAWzJzUUQcB8wHjoiI/vHa2vCdJE0z6y0EM/PJABHxzcw8fOpDkqTCBRdcBMDHP/5Rjj/+JPr7+xgYmAWwD8WVbkmqnHacO2XmcuDyhkVXAUcD84BVmbmoXH4mRT48Yj1tkrSWZu4IAtCYyMorTo1tQ+0MSpIaHX/8SY+9Hhoa4qGHHur7m7/5m34w/0iqrnadO5XbHg1cBOwELGnYz70R0R8RW03UVhaWkvSYpgvBiNgDOAP4a4quDlD0eR8GZrQ/NEkqZN7IZz/7KW6++SZWr17N0NDQ7zH/SKq4Np47fRFYCZwOvK6dMY6l7HmhHjNnzuxuh6AOadexbroQBM4G/p2ie8HDrXyIA54lbYiTTz6BF75wHz7ykRN44hO34lvf+tY+CxYsuK0d+46ITYHPAS8DVgFXZuY7ImIuRd4bAAaBwzPzpnKbcdskqcGkz51GRMSpwK7A/pk5FBG3Ajs3tG8NDGXm8onaWvnMwcGVDA0NN7WuxUd1LFs2tfOneayro5Vj3TCsZt22Fj5zZ+Ajmfk/mbmk8aeJbUcGPEdm7gbcTDHgeWRQ87sycy7wM4pBzUzUJqle7rrrLt7xjneyyy5PZvvtt+e9733v7S3kn/U5haIAnFvmp+PL5WcCZ5T55wyKi1I00SZJIzbk3ImI+ATFuL/XZuYj5eKrgZkRsVf5/ijggibaJGktrRSC3wVeMZkPyczlI7Nela6iSI5jDWo+sHw9UZukGtlnnxfzy19e1fb9RsQs4HDg+MwcBsjMuyNiG2AP4Pxy1fOBPSJizkRtbQ9QUq+b9LlTRDwT+BCwHXBFRCyOiO+WYwsPA74cETcBLwI+CI+NOxyzTZJGa6Vr6KbAdyNiEcXUx49pZUasTg94tp97b7L7Qb2s73j39Q3xkY+8n3nz5rH11lvz05/+9DMPPvjgQ9Ba/hnDUym6dp5QPutrJcWDnv8E3J6Za8rPWBMRdwA7UozvGa9tWbMfbG7qXean+mjDsZ70uVNmXs/azx9sbLsC2K3VNklq1EoheEP5s6E6OuDZfu69yX7u9bK+4/2kJ+3IwQcfTl9fH5tttjGbbbbZrQ8++OD9bfjoGRQPd742M98fEc+jGM/zf9uw7wmZm3qX+ak+mj3WE4zBade5kyS1XSuPj/jYhn5YNwY8S+p9RxzxDuAvJ1t///d//wXa8xzBW4FHKbt5ZuYvIuJeijuC20fEjPKO3wyK7llLKa7Qj9cmSY9px7mTJE2VVh4f8dLx2jLzsia2Hxnw/KqxBjyXYwHHHPA8RpukGrn66l8B0NcHW2wxkwULFjz/yiuvfAo0l3/GU3Y5/ynwcuDH5Wyg2wC/AxYDB1FMWnUQxV3DZQARMW6bJI3Y0HMnSZpKrXQN/dqo93OAjYHbKLpWjathwPPvKAY8A/wxM18XEYcBC8op3G8BDoViwPN4bZLqZf78jz/2ur+/jzvuuOMs4HE0kX+acBTw9Yj4DPBn4LDMvD8ijgLOjoiPAvdRTCrTuM14bZI0YtLnTpI01VrpGvrkxvdld6jjgPV2oHfAs6QNccEFFwF/6Ro6ODi42wte8ILDaCL/rE9m/gF48RjLbwSeN84247ZJ0ogNOXeSpKnWyuMj1lLOmHcycGz7wpGk9RsYGBjC/COpx3juJKlKJl0Ill4ODLUjEElqkflHUi8yd0mqhFYmi1kKNM51vhnF83He2e6gJKnR61//KqCYLKa/v5+77777GopxNuYfSZXluZOkKmtlspjRE7U8BPwuMx9sYzyStI7jjz8JKMYIbrHFTBYuXPjmSy655L/MP5IqznMnSZXVymQx/wUQEf3AtsDdmWnXBklTbvfd55WvhhkeXsXJJ5983WmnneaJlKRK89xJUpW10jV0NnAG8EaKadv/HBH/ChyTmQ9MUXySxMMPP8RnPvMpLrvsJzz66KMMDw/fCJh/JFWa506SqqyVyWK+CGxO8TiHmeXvzYDTpiAuSXrM5z73aVat+hPnnPMtfvvb33LwwQf/LeYfSdXnuZOkympljODfAk/JzIfL97+LiLcCN7c/LEn6i1/84kq+/e3vs9lmM9l444054YQT/njeeeeZfyRVnedOkiqrlTuCq4A5o5ZtDTzSvnAkaV0bb7wx999/3+jF5h9JVee5k6TKauWO4FnATyLis8ASYGfgH4GvTkVgkjTi1a9+Df/wD+/ioIMOYdddn8wnP/nJQ4DDMf9IqjbPnSRVViuF4MnA7cAhwHbAHcApmfm1qQhMkka8+c1vY86cbfjJT37Ed74zyF133bUv5h9J1ee5k6TKaqVr6BeAzMyXZeYzMvNlwP9ExOenJjRJKnzhC6ey0047c9ppX+biiy9m8eLFh2L+kVR9njtJqqxWCsGDgF+PWnY1cHD7wpGkdV166SU87WnPGL3Y/COp6jx3klRZrRSCw8CMUctmtLgPSZqEPoaG1oxeaP6RVHWeO0mqrFYS0c+Bj0dEP0D5+8RyuSRNmWc/+zl89atnMjQ0BMCKFSv6MP9Iqj7PnSRVViuTxbwH+AFwZ0QsAXYC7gT2n4rAJGnEe97zPo499h/Zf/9XssMO23P99df/ErgN84+kavPcSVJlNV0IZuZtEbEH8L+AHYGlwC8zc2iqgpMkgG222Zavf30hN954Aw8/fD8XXXTROy677LLvm38kVZnnTpKqrJU7gpSJ66ryR5I6pr+/n2c9azcGBmax7777Xgt4IiWp8jx3klRVDlaWJEmSpJqxEJQkSZKkmrEQlCRJkqSasRCUJEmSpJqxEJQkSZKkmmlp1lBJkiRNvYg4FXgDsAuwW2ZeVy6/BVhV/gB8IDMvKdv2BBYAM4FbgEMz856OBi6pZ3hHUJIkqXq+B+wDLBmj7YDMfE75M1IE9gMLgXdl5lzgZ8D8TgUrqfdYCEqSJFVMZi7KzKUtbDIPWJWZi8r3ZwIHtj8ySdNFx7qG2sVBkiSpLc6NiD5gEfDhzLwf2ImGu4eZeW9E9EfEVpm5vJWdDwzMamuw6ow5c2Z3OwR1SLuOdSfHCH4P+ALw8zHaDhgpDEc0dHF4S2YuiojjKLo4HDHVgUqSJFXU3pm5NCI2AT4PnA4c2s4PGBxcydDQcFPrWnxUx7JlK6Z0/x7r6mjlWPf39417cadjXUPt4iBJkrRhRs6lMvMR4EvAC8umW4GdR9aLiK2BoVbvBkqqj6rMGjplXRzs3tCbvOpULx5vSVq/iNgc2CgzHyjPm94ELC6brwZmRsRe5UX0o4ALuhOppF5QhUJwSrs42L2hN9m9oV6aPd4TdW+QpOkkIk4DXg88Ebg0IgaB/YELI2IGMAO4AXgnQGYORcRhwIKI2JRyboVuxC6pN3S9EGzs4hARXwIuKpvs4iBJkmopM48BjhmjafcJtrkC2G3KgpI0rXT18RERsXlEbFm+HreLQ/neLg6SJEmS1AadfHyEXRwkSZIkqQI6VgjaxUGSJEmSqqGrXUMlSZIkSZ1nIShJkiRJNdP1WUMlqQoi4gTgRGC3zLwuIvYEFgAzKccoZ+Y95brjtkmSJPUC7whKqr2I2APYE1hSvu8HFgLvysy5wM+A+etrkyRJ6hUWgpJqLSI2Ac4Ajm5YPA9YlZmLyvdnAgc20SZJktQTLAQl1d1JwMLMvKVh2U6UdwcBMvNeoD8itlpPmyRJUk9wjKCk2oqI5wN/A3yw0589MDCr0x+pNpkzZ3a3Q1CHeKwlTWcWgpLq7EXA04E/RgTADsAlwGnAziMrRcTWwFBmLo+IW8dra+WDBwdXMjQ03NS6noxWy7JlK6Z0/x7v6mj2WPf393lxR1LPsWuopNrKzPmZuV1m7pKZuwC3Aa8EPg3MjIi9ylWPAi4oX189QZskSVJPsBCUpFEycwg4DPhyRNxEcefwg+trkyRJ6hV2DZWkUnlXcOT1FcBu46w3bpskSVIv8I6gJEmSJNWMhaAkSZIk1YyFoCRJkiTVjIWgJEmSJNWMhaAkSZIk1YyFoCRJkiTVjIWgJEmSJNWMhaAkSZIk1YyFoCRJkiTVjIWgJEmSJNWMhaAkSZIk1YyFoCRJkiTVjIWgJEmSJNXMRt0OQJIkSWuLiFOBNwC7ALtl5nXl8rnA2cAAMAgcnpk3ra9NkkbzjqAkSVL1fA/YB1gyavmZwBmZORc4A1jQZJskraUjdwS9qiVJktS8zFwEEBGPLYuIbYA9gJeXi84HTo+IOUDfeG2ZuaxTcUvqHZ3qGvo94AvAz0ctH7lytTAiDqW4cvXSJtokSZLqZkfg9sxcA5CZayLijnJ53wRtLRWCAwOz2hu1OmLOnNndDkEd0q5j3ZFC0KtakiRJvWFwcCVDQ8NNrWvxUR3Llq2Y0v17rKujlWPd39837sWdbk4W41UtjctkUy8eb0lqylJg+4iYUZ4bzQC2K5f3TdAmSeuY9rOGelWrN3lVq16aPd4TXdWSpOkuM++JiMXAQcDC8ve1I72lJmqTpNG6OWvoY1e1AEZduZqoTZIkaVqLiNMi4jZgB+DSiLi+bDoKeHdE/A54d/meJtokaS1duyPoVS1JkqSxZeYxwDFjLL8ReN4424zbJkmjdeSOoFe1JEmSJKk6OjVrqFe1JEmSJKkiujlGUJIkSZLUBRaCkiRJklQzFoKSJEmSVDMWgpIkSZJUMxaCkiRJklQzFoKSJEmSVDMWgpIkSZJUMxaCkiRJklQzFoKSJEmSVDMWgpIkSZJUMxaCkiRJklQzFoKSJEmSVDMWgpIkSZJUMxaCkiRJklQzG3U7AEnqpogYAM4BngqsBm4C/i4zl0XEnsACYCZwC3BoZt5TbjdumyRJUtV5R1BS3Q0Dp2RmZOZuwM3A/IjoBxYC78rMucDPgPkAE7VJkiT1AgtBSbWWmcsz8/KGRVcBOwPzgFWZuahcfiZwYPl6ojZJkqTKs2uoJJXKO31HAxcBOwFLRtoy896I6I+IrSZqy8zlzXzWwMCs9gavjpkzZ3a3Q1CHeKwlTWcWgpL0F18EVgKnA6+byg8aHFzJ0NBwU+t6Mloty5atmNL9e7yro9lj3d/f58UdST3HrqGSBETEqcCuwBszcwi4laKL6Ej71sBQecdvojZJkqTKsxCUVHsR8QmKcX+vzcxHysVXAzMjYq/y/VHABU20SZIkVZ5dQyXVWkQ8E/gQ8DvgiogA+GNmvi4iDgMWRMSmlI+IAMjMofHaJEmSeoGFoKRay8zrgb5x2q4Admu1TZIkqersGipJkiRJNWMhKEmSJEk1Y9dQSZKkHhMRtwCryh+AD2TmJRGxJ7AAmEk5fjkz7+lKkJIqrRKFoMlMkiSpZQdk5nUjbyKiH1gIvCUzF0XEccB84IhuBSipuipRCJZMZpIkSZM3D1iVmYvK92dSXEj33EnSOqpUCI5mMpMkSRrfuRHRBywCPgzsBCwZaczMeyOiPyK2yszlze50YGBW+yPVlJszZ3a3Q1CHtOtYV6kQNJnpMSazevF4S1LL9s7MpRGxCfB54HTgu+3Y8eDgSoaGhpta1/xdHcuWrZjS/Xusq6OVY93f3zduPVSVQtBkprWYzOql2eM9UTKTpDrJzKXl70ci4kvARcAXgJ1H1omIrYGhVi6gS6qPSjw+ojGZAV8CXgjcislMkiRpLRGxeURsWb7uA94ELAauBmZGxF7lqkcBF3QlSEmV1/VC0GQmSZLUkm2ByyPit8B1wFzgnZk5BBwGfDkibgJeBHywe2FKqrIqdA3dFrgwImYAM4AbKJNZRBwGLIiITSkfH9G9MCVJkrovM/8A7D5O2xXAbp2NSFIv6nohaDKTJEmSpM7qetdQSZIkSVJnWQhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1YCEqSJElSzVgISpIkSVLNWAhKkiRJUs1s1O0A1ici5gJnAwPAIHB4Zt7U3agk1Z25SVJVmZ8kNaMX7gieCZyRmXOBM4AFXY5HksDcJKm6zE+S1qvSdwQjYhtgD+Dl5aLzgdMjYk5mLlvP5jMA+vv7WvrMrZ+weathagq0etwmY+MtBqb8M9ScZo93w3ozpiyYJpib6s38VB+9lpvA/FRn5qb6aOVYT5Sf+oaHh9sUUvtFxDzgm5n5zIZlNwCHZuY169l8L+DnUxmfpK7ZG1jUrQ83N0kaR1dzE5ifJI1rnfxU6TuCG+hXFF/4TmBNl2OR1B4zgCdR/H33KnOTNP1Mh9wE5idpOho3P1W9EFwKbB8RMzJzTUTMALYrl6/PI3T5qpykKXFztwPA3CRpXVXITWB+krSuMfNTpSeLycx7gMXAQeWig4Brm+jjLklTxtwkqarMT5KaVekxggAR8TSKKZCfANxHMQVydjcqSXVnbpJUVeYnSc2ofCEoSZIkSWqvSncNlSRJkiS1n4WgJEmSJNWMhaAkSZIk1YyFoCRJkiTVjIWgJEmSJNWMheA0FREbdTsGSRqL+UlSFZmbVDc+PqLHRMQwcBLwGmAm8OHMvLCh7WPAq4AfAacDZwJPBfqAT2fmN7sRt1oXEc8HPg3MLhe9n+J5UKcBmwMPAcdk5q8iYhfg18ACYD9gM+Btmbmo03GrvsxP9WBuUq8xN9WH+ak13hHsTWsy8znA/wG+EhHbNLT9KTOfm5nHU/xHf11m/jXwCmB+RDyr8+GqVRGxFfBd4NjMfDawB/Ab4ELguPKYHg9cGBEbl5sNAFdm5u4U/8P7VOcjl8xP05m5ST3M3DTNmZ9aZyHYm74GkJkJXAPs2dB2dsPrl1Fc5SAz7wQuBl7SoRi1YZ4P3JCZVwBk5hpgG2B1Zv5nuexSYDUQ5TYrM/MH5eurKK5mSp1mfprezE3qVeam6c/81CILwelnZbcDUNc80vB6DeBYB1WN+amezE2qOnNTfdU6P1kI9qa3AkTErsDuFFcwxnIp8PZy3SdS9H++rBMBaoNdCTyj7OtORMwA7gE2joiXlMteCjwOyK5FKa3L/DS9mZvUq8xN05/5qUW1qnqnkY0i4lqKQa1/l5n3jLPeMcCCiPgtxYDnD2bm9Z0KUpOXmcsj4vXAZyNic2AIeB/wBuC0ctlDwAGZuToiJtib1FHmp2nM3KQeZm6a5sxPrXPW0B5Tzm41OzPtxiCpUsxPkqrI3CSNza6hkiRJklQz3hGUJEmSpJrxjqAkSZIk1YyFoCRJkiTVjIWgJEmSJNWMhaDGFRHfiIh/7nYc7RIRe0dE5Z4bExGXR8SRG7D99RHx4jaGJFWe+akzzE9Sa8xNnWFuag+fI6i2iYhvALdl5nHdjgUemy5618z8PUBm/hyYdg+NycxnjryOiBOBv8rMQ7sXkVQ95qfuMD9JEzM3dYe5qeAdQalHRYQXciRVkvlJUhWZm9bm4yMqKCI+ABwDbAHcAbwT2Bt4FrAG2A+4CXhrZv6m3GY74IvAPsBK4HOZeVrZ1g8cC7wdeDzwn8BRmbm8bN8LOAV4BrACOD4zv1FepXoI2KXc7w3AwZl58xgxvwM4AxgGVgM/zcz9I+LpwJeB5wC3Ax/KzIsm+O7DwLuAfwSeCHwe+AZwTvn9fwQcmpmry/XfDnwA2ApYVH6vOyLiZ+W/2cNlTG8D7gYWZuYO5bbjxtbKd29YfxXwVGBP4Brg8MxcUra/APgCMBf4HfCezLyibLu8jOusiHgq8FXg2WXclwDvysz7y3VvKWM+hOIK3ebA74EjKe7wXwT0AY8ANwP/DHwwM+c1xPpe4EWZ+ZrxjoM0HvOT+QnzkyrI3GRuwtzUMu8IVkxEBPD3wHMzczbwSuCWsvk1wAUUf7jnAd+LiMeVyerfgd8A2wP/G/iHiHhlud27gdcCLwK2A+6jSDxExM7Af1AkwjkUf9iLG0J6E/Ax4AkUfzQnjxV3Zn4FOBc4JTNnlYnscWVcPwa2KeM4t/yOE3klMI8iKRwLfAU4FNiRIqEdVMb+UuCTwIHAk4AlwL+W8exT7uvZZTzfavyAJmNr6rs3OAT4OLA1xb/hueVnbQX8EDgNGAA+C/wwIgbG2Edf+Z22A55efucTR61zEPAq4PGZ+ejIwsz8EfAJ4Fvld342RXJ7cpm4RxwGfHM930Vah/kJMD+Zn1Q55ibA3GRumgQLwepZA2wCPCMiHpeZtzRcSbk6M/8tM/9M8QexKcUf/HOBOZl5Umauzsw/UFwZeVO53VHARzLztsx8hOKP44Dy9vjBwKWZeX5m/jkzBzNzcUM8383MX5Z/NOdSJLtm7QnMAuaXcV0G/IAyGU3glMx8MDOvB64DfpyZf8jMBygS7+7leocAX8/Ma8rv9SHg+RGxS5tia/W7/zAzf1bG8pEylh0pEs9NmXlOZj6amecDNwL7j95BZv4+M3+SmY9k5jKK4/yiUaudlplLM/NP6/uSZSzfovifARHxTIordT9Y37bSGMxP5ifzk6rI3GRuMjdNgv1kKyYzfx8R/0CRcJ4ZEZcA7y2blzasNxQRt1Fc/RgGtouI+xt2NQP4efl6Z+C7ETHU0L4G2JbiqsmYt+xLdzW8fpgiARARHwY+XC5fmJlHjbHtdsDSzGz83CUUV96IiOvL2AD2zWJAMhTdEEb8aYz3T2zY/zUjDZm5MiIGy/3fMsF3Wm9spVa/e+PxWRkRy8vP2a7cd6PRn0W5720pukHsDcymuFhz36jVlo7ebj3OBs6PiOMormh9u0xyUkvMT4D5yfykyjE3AeYmc9MkWAhWUGaeB5wXEVsAC4BPUSScHUfWKbs07EDRD/5R4I+Zues4u1wKHJGZ/z26ISKWAv9rEjF+guJWeqPRA07vAHaMiP6GpLETRT/vtWZsmqQ7+EsyJCI2p+g+cHuT244b20TG+e6w9vGZRdEN5Y7RcTZ81o/G2McnKP4dd8vM5RHxWuD0UetMNLB3nbbMvCoiVlMkyIPLH2lSzE9NMz+ty/ykKWNuapq5aV21zU0WghVT9rPeHvhvigG0f6K4QgUwLyJeT9F3+RiKQa1XAUPAiigGSp9GMeD46cDMzPwVcCZwckS8OTOXRMQc4AWZ+X2K2/YfjogDge8AWwI7juri0Ky7gac0vP8FxdWgYyPiM8ALKW7pP3cS+x7L+RRXa84D/ociEfwiM28ZFc/vx9h2KmLbL4rB47+k6O9+VWYujYiLgS9GxMHAt4E3UAwuH6uLwWzgAeCBiNgeeH+LMdwNvHxUkoaiX/vpwJ8zc1GL+5QA81OLzE/rMj9pSpibWmJuWldtc5NjBKtnE2A+cC/F7fVtKPpvA3wfeCPF7e7DgNeXfdPXAK+m6If9x3LbsygSExS3yy8CfhwRKygS4PMAMvNWipm0/glYTjFQ99mTjP1rFP3z74+I72UxO9X+wL5lTF+imA3qxknufy2ZeSlwPHAhcCfFrFNvaljlRODsMp4DR207FbGdB5xA8e84j7JveWYOUhyffwIGKQZxvzoz7x1jHx8D9qBIaD+k+B9MKy4ofw9GxDUNy0dmDlvY4v6kRuanJpmfxmR+0lQxNzXJ3DSm2uYmHx/RI6LGD7vsBVGxB8KOFhEzgXuAPTLzpm7Ho+nF/FRt5ifVlbmp2sxN3ecdQakejgZ+NV0TmaSeZn6SVEXTPjc5RlCa5qJ4kGofxfOQJKkyzE+SqqguucmuoZIkSZJUM3YNlSRJkqSasRCUJEmSpJqxEJQkSZKkmrEQlCRJkqSasRCUJEmSpJqxEJQkSZKkmvn/IzPYIUdc9SwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Counting motion polarity\n",
    "_, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "for split, ax in zip(np.unique(concatenated['dataset'].values), axes.tolist()):\n",
    "    ax.set_title(split + ' split')\n",
    "    sns.countplot(x='speech-to-motion-polarity', data=concatenated[concatenated['dataset'] == split], ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# hist by motion\n",
    "motions = {'split': [], 'motion-id': []}\n",
    "for split, split_name in zip([data_val.annotations, data_test.annotations], ['val', 'test']):\n",
    "    for data in split['motion-id']:\n",
    "        motions['split'].append(split_name)\n",
    "        motions['motion-id'].append(data)\n",
    "\n",
    "plt.figure(figsize=(15, 7.5))\n",
    "sns.histplot(data=motions, linewidth=0, x='motion-id', hue='split')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# length text \n",
    "lentext = {'split': [], 'text_length': []}\n",
    "for split, split_name in zip([data_train, data_val], ['train', 'val']):\n",
    "    for data in split:\n",
    "        text = data[0]\n",
    "        text = text.split(' ')\n",
    "        lentext['text_length'].append(len(text))\n",
    "        lentext['split'].append(split_name)\n",
    "\n",
    "plt.figure(figsize=(15, 7.5))\n",
    "sns.histplot(data=lentext, kde=True, stat=\"density\", linewidth=0, x='text_length', hue='split')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show k most frequent cased words\n",
    "\n",
    "from collections import Counter\n",
    "import re\n",
    "def get_k_most_freq_cased(data, k):\n",
    "    texts = [t[0] for t in data]\n",
    "    texts = ' '.join(texts)\n",
    "    \n",
    "    res = re.findall('([A-Z]\\w+)', texts)\n",
    "\n",
    "    counts = Counter()\n",
    "\n",
    "    for w in res:\n",
    "        counts[w] += 1\n",
    "    items = counts.most_common(k)\n",
    "    keys = [item[0] for item in items]\n",
    "    values = [item[1] for item in items]\n",
    "\n",
    "    return keys, values\n",
    "\n",
    "words, freq = get_k_most_freq_cased(data_train, 50)\n",
    "\n",
    "_, ax = plt.subplots(figsize=(25, 10))\n",
    "sns.barplot(x=words, y=freq, ax=ax)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Show the different sample rates of the audio files in the dataset\n",
    "def get_sr_and_durations(data):\n",
    "    sample_rates = []\n",
    "    seconds = []\n",
    "    for audio_file in data['wav-file-name']:\n",
    "        audio_path = os.path.join(data_path, 'wav', audio_file)\n",
    "        sr = librosa.get_samplerate(audio_path)\n",
    "        sc = librosa.get_duration(filename=audio_path)\n",
    "        sample_rates.append(sr)\n",
    "        seconds.append(sc)\n",
    "    return sample_rates, seconds\n",
    "\n",
    "train_metadata = data_train.annotations\n",
    "audio_stats = {\n",
    "    'sample_rates': [],\n",
    "    'durations': [],\n",
    "    'split': []\n",
    "}\n",
    "for split, split_name in zip([train_metadata, val_metadata], ['train', 'val']):\n",
    "    sample_rates, seconds = get_sr_and_durations(split)\n",
    "    audio_stats['sample_rates'] += sample_rates\n",
    "    audio_stats['durations'] += seconds\n",
    "    audio_stats['split'] += [split_name for _ in range(len(sample_rates))]\n",
    "\n",
    "audio_stats = pd.DataFrame(audio_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x1152 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot sample rates pie distributions in a pie chart\n",
    "_, axs = plt.subplots(1, 2, figsize=(18, 16))\n",
    "\n",
    "for split, ax in zip(audio_stats['split'].unique(), axs):\n",
    "    sample_rates = audio_stats[audio_stats['split'] == split]['sample_rates'].\\\n",
    "            value_counts(normalize=True)\\\n",
    "            .mul(100).rename('percentage').reset_index()\n",
    "    percentages = sample_rates['percentage']\n",
    "    # Define Seaborn color palette to use\n",
    "    colors = sns.color_palette('pastel')[0:len(sample_rates)]\n",
    "\n",
    "    # Create pie chart\n",
    "    ax.set_title(f'Sample rates in {split} split')\n",
    "    ax.pie(percentages, labels=sample_rates['index'], colors=colors, autopct='%.2f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show the distribution of the audio lenghts for our dataset\n",
    "plt.figure(figsize=(15, 7.5))\n",
    "sns.histplot(data=audio_stats, kde=True, stat=\"density\", linewidth=0, x='durations', hue='split')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis of Results\n",
    "We'll now manually examine the examples that were misclassified by Text, Audio and Multimodal model in order to identify common error types and the possible reasons behind them. The results of this analysis are explained in detail in our project report."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28\n",
      "Number of wrongs in text: 45\n",
      "Number of wrongs in audio: 61\n",
      "Number of wrongs in multimodal: 42\n",
      "Number of wrongs in text that are also wrong for multimodal: 30/42\n",
      "Number of wrongs in text that are not wrong for multimodal: 15\n"
     ]
    }
   ],
   "source": [
    "multimodal_path = 'wrongs/multimodal/text_2_audio_10_2_freeze.csv'\n",
    "text_path = 'wrongs/text/no_pre_high_drop.csv'\n",
    "audio_path = 'wrongs/audio/transformers_10_10_no_pre.csv'\n",
    "wrongs_text = pd.read_csv(text_path, names=['id', 'speech-id']).drop('id', axis='columns').drop(0, axis='rows')\n",
    "wrongs_text = data_test.annotations[data_test.annotations['speech-id'].isin(wrongs_text['speech-id'])]\n",
    "\n",
    "wrongs_multimodal = pd.read_csv(multimodal_path, names=['id', 'speech-id']).drop('id', axis='columns').drop(0, axis='rows')\n",
    "wrongs_multimodal = data_test.annotations[data_test.annotations['speech-id'].isin(wrongs_multimodal['speech-id'])]\n",
    "\n",
    "wrongs_audio = pd.read_csv(audio_path, names=['id', 'speech-id']).drop('id', axis='columns').drop(0, axis='rows')\n",
    "wrongs_audio = data_test.annotations[data_test.annotations['speech-id'].isin(wrongs_audio['speech-id'])]\n",
    "\n",
    "wrongs = wrongs_text[wrongs_text['speech-id'].isin(wrongs_multimodal['speech-id'])]\n",
    "to_drop_multimodal = wrongs_multimodal[~wrongs_multimodal['speech-id'].isin(wrongs['speech-id'])]\n",
    "wrongs_multimodal_not_text = wrongs_multimodal.drop(to_drop_multimodal.index)\n",
    "wrongs_text_not_multimodal = wrongs_text[~wrongs_text['speech-id'].isin(wrongs_multimodal_not_text['speech-id'])]\n",
    "\n",
    "wrongs_only_audio = wrongs_text[wrongs_text['speech-id'].isin(wrongs_audio['speech-id'])]\n",
    "print(len(wrongs_only_audio))\n",
    "\n",
    "\n",
    "print(f'Number of wrongs in text: {len(wrongs_text)}')\n",
    "print(f'Number of wrongs in audio: {len(wrongs_audio)}')\n",
    "print(f'Number of wrongs in multimodal: {len(wrongs_multimodal)}')\n",
    "print(f'Number of wrongs in text that are also wrong for multimodal: {len(wrongs)}/{len(wrongs_multimodal)}')\n",
    "print(f'Number of wrongs in text that are not wrong for multimodal: {len(wrongs_text_not_multimodal)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_35863/2751202086.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  split_annotations[\"text\"] = texts\n"
     ]
    }
   ],
   "source": [
    "split_annotations = test_metadata[test_metadata[\"speech-id\"].isin(wrongs_text_not_multimodal[\"speech-id\"])]\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "texts = []\n",
    "path = 'data/ibm_debater/full/'\n",
    "for i, row in split_annotations.iterrows():\n",
    "    try:\n",
    "        file_path = os.path.join(path, \"trs.txt\", row[\"clean-transcript-file-name\"])\n",
    "        with open(file_path, 'r') as fp:\n",
    "            texts.append(fp.read())\n",
    "    except:\n",
    "        print(i, path)\n",
    "split_annotations[\"text\"] = texts\n",
    "split_annotations = split_annotations[[\"speech-id\", \"motion\", \"text\"]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>speech-id</th>\n",
       "      <th>motion</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>TL_2469_teacher-tenure_con_YBA_implicit</td>\n",
       "      <td>The teacher tenure reform brings more good than harm</td>\n",
       "      <td>Teacher tenure reform brings more harm than good.\\nWhen we're talking about teacher tenure reform, we think we're talking about things like eliminating the length at which tenure kicks in, so making it from, say, five years at which you can receive tenure, to ten years, and shortening the amount of time that you can keep tenure for, from the rest of your life to, say, ten, five years, et cetera.\\nSo these are the reforms that we think are problematic.\\nWhy do we think that this is a an especially problematic problem?\\nWe think that in the status quo, teachers in western liberal democracies are often massively undervalued for their labour, especially in places like the united states, and in public schools especially, teachers are dramatically underpaid compared to other educational sectors such as private schools, but more importantly, teachers are underpaid compared to many other possible job opportunities that individuals can take.\\nSo why do we can the tenure is so crucial in ensuring that good teachers are in our public school systems and are allowing our children to learn in the most efficacious way possible?\\nSo first thing is teacher recruitment.\\nIn the status quo, teachers face low wages, they're often undervalued by society, especially by parents that have to interact with them that blame the teachers for the problems that their children have, and more importantly, you can bet unions all across the western world, especially teacher unions, are being attacked on a massive scale, which means that their ability to organize, their ability to get better benefits, their ability to increase their wages, and their ability to get protections that are necessary are now being limited because of the attack on unions that our current because of blame that people place on unions for increased taxes, etcetera etcetera.\\nThis given that this is the case, we think that when someone enters college and someone needs to get a degree in order to become a teacher, when they're thinking about whether or not that degree is worthwhile, we think that many people simply don't see teaching as a profession that in the long run is going to be able to pay off, is going to provide enough money to make their college education worth it, and to make it so that they can live a comfortable life.\\nTenure is an incentive that people can have that drives them into education.\\nTenure allows for job security that simply does not exist in almost any other part of our society, in any other work force in our society.\\nGiven that this is the case, we think that tenure can be an immense tool for motivating people to get into education, and we don't think that education is something that people simply never want to do, but we think that when people have to make real trade offs between whether or not they're going to get a higher or lower wage, this is something can meaningfully motivate them towards choosing teaching over, say, economics or business.\\nSecondly, teacher retention.\\nBecause recognize, not every teacher gets tenure.\\nOnly the best teachers get tenure.\\nOnly the teachers that prove they can educate in a good way, and that they can keep students engaged in the classroom, are able to get tenure.\\nGiven that this is the case, we think that these are the teachers that are most likely going to get poached by other private schools or private industry.\\nAnd again, the ability to have job security is something that is beneficial for teachers in the status quo, and is something that allows teachers to be retained, because you don't only want teachers to come in and work hard for a brief period of time, but you want teachers to breed a culture in an educational system that is one that strives for students to learn, that gets them excited about learning, and I think the way that you do this this for continuity of teachers and through ensuring that you can retain the best teachers that you have in your system.\\nWithout having tenure, it makes it impossible to lock teachers up for a long period of time, and it makes it so that other sorts of job opportunities that present to that are presented to them, say working in a private school rather than working in a public school, that pays higher wages and gets better benefits, we think that when those things are opportunities that teachers have, you can't simply give away tenure that these teachers have just because some teachers abuse it, just because some teachers get through the cracks and get tenure when they don't deserve this.\\nWe think the vast majority of teachers that receive tenure our worthy teachers that are working hard and we think that if you reform the tenure system and you make it less strong, you're simply not going to get as many qualified teachers applying or working in these schools it harms our student and harms everyone's future.\\nFor those reasons, we don't think that teacher we think that teacher tenure brings more harm than it brings good.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1474</th>\n",
       "      <td>YBA_2222_single-sex-schools_pro</td>\n",
       "      <td>Single-sex schools bring more good than harm</td>\n",
       "      <td>Single sex schools bring more good than harm.\\nOn side government we argue that there are two distinct roles that schools have and they are: a, teaching, as in exposing children to knowledge and helping them develop important skills on several different fields that will help them in the future, and b, socializing, as in allowing these children to fruitfully interact and , like, collect social experiences by which they will be better prepared for life in society.\\nTwo arguments today.\\nFirst, why do mixed schools harm the ability of the schools to actually teach and two, why did single sex schools don't harm the social skills of the children.\\nBefore we begin, just to clarify, we are talking about the ages of middle school and high school and obviously we assume that the level of teaching and the level of like facilities and services is going to be identical for both genders.\\nFirst argument: what was once true to only children in high school is becoming in the in the last couple of generations more and more true in younger and younger ages and that is that girls and boys suddenly discover each other.\\nHormones begin to run wild, friendships begin to form and the classrooms are filled with teen spirit.\\nAt this point it is only natural for children to be incredibly preoccupied with their social situation.\\nHow do they look like?\\nWho took up an interest in them?\\nEtcetera.\\nWe say that at this stage entering thirty teenagers, girls and boys, into the same room for several hours each day and expect that they would be actually able to sit down concentrate and study math is just sheer lunacy.\\nEven if some of them were interested in actually studying we say that these children were not couldn't afford it because they will immediately be branded as uncool and lose the favor of the other sex.\\nAnd even if there are still two or three children that are just trying to still focus we say that this gets almost impossible when the rest of the class is so busy doing other things and the teacher spends half the time trying to shut everybody up.\\nNow this is of course a slight exaggeration but the point is that once we separate girls and boys children will spend far less time at in like gazing at someone they have a crush on or worrying how they look like or what other people might think of them and then they get more like open or they get more focused and they can sit down and study.\\nWe say that when schools want to put like forty children in one classroom then immediately we see a response coming from the parents and from everyone in society that this isn't right.\\nAnd we say that this is a justified response because this is a surrounding unfit for studying.\\nWell same goes here.\\nSecond argument: opposition is going to try and tell you that these distractions are an inseparable part of growing up and that single sex schools are going to like prevent the children from experiencing important interactions with the other sex.\\nWe agree that these interactions are an important part of like maturity, but it is unclear to us why can't these interactions and friendships be formed outside of school.\\nWe say that when we said that that the school system has two roles, they are not equally important because the school's main job is to actually be able to teach children and the rest like the socializing part is just a byproduct that comes with it.\\nIt is important but school isn't necessarily needed in order to form this.\\nChildren today are hanging out more and more in inter school gangs.\\nWe have after school activities we have the neighborhood public areas and again girls and boys are going to just be so busy thinking about one another that we are sure that they will manage with finding one another so let's at least keep the classroom sterile place and where they can actually sit down and study something.\\nWe beg you to propose.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1706</th>\n",
       "      <td>DJ_941_abstinence-only_con_TL_implicit</td>\n",
       "      <td>Abstinence-only sex education brings more good than harm</td>\n",
       "      <td>Abstinence only sex education is absolutely horrible, and only fools and idiots actually support it.\\nOr people who are just evil.\\nOr crazy.\\nSo let's talk about why, because first, I think that abstinence only sex education is immoral, and second I think it's grossly ineffective and wildly obscene.\\nSo first, let's talk about why sex abstinence only sex education is just immoral.\\nLet's not sugarcoat what abstinence only sex education is, it's trying to force archaic christian religious values onto an oftentimes unwilling more modern and progressive populace.\\nWhat this looks like, is oftentimes using scare tactics, like I don't know, you're going to you know get like pregnant and die if you have sex, or you'll get this big spooky disease, inherently by having sex.\\nIt glosses over the nuances of what this actually entails.\\nIt's trying to scare people into living in a certain kind of a lifestyle, and I think this is quite bad, because honestly there's nothing wrong with sex, there's nothing wrong with having sex, we shouldn't shame people for having sex, or wanting to have sex.\\nIt's just like a very like natural thing that humans want to do, it's fun, it's enjoyable, there's nothing wrong with it, there's no reason why we should shame it, and there's no reason why we shouldn't emphasize a focus on it.\\nThis is, like, there like being ready for sex is like being ready for like driving a car.\\nIt's just like a part of getting older, it's something that happens, you don't have to wait until marriage, whether that happens in like in like your thirties or something like that, like it's absolutely ridiculous, and it's archaic, and it's and it's ridiculous that we have institutions that try to force this lifestyle onto people.\\nBut, second, and even more perniciously, is just how ineffective an unsafe abstinence only sex education is.\\nThere is a reason why the rates of unwanted pregnancies, and the rates of STI and STD like like STD affliction are a whole lot higher in abstinence only education states, in like the deep south in america, than they are in more progressive and sane places like massachusetts.\\nAnd the reason for this is because shockingly, people do not buy into absence only sex education.\\nBecause it is such an inherent part of like human life, people tend to have sex anyway.\\nSo since this is just true, how are you going to best make sure that people actually do this in a safe and responsible and educated way?\\nWell, a good way to start doing that is by educating people.\\nWhen you do not actually educate them on like, how to like use condoms or access condoms, what are different kinds of birth controls that you can access, what are like the best ways to prevent like access to like STD's and things like that, all of these things are very important, because you feel more educated.\\nBut additionally, sense you're fostering when you have abstinence only sex education, like what I talked about earlier, you're fostering in a culture that almost shame sex.\\nSo you're going to be less willing to seek out help, you're going to be less willing to seek out contraceptives, you're going to be less willing to seek out an abortion, all of these things are less likely to happen, because you feel like society is going to shun you, or society is going to condemn you, and all of that is happening simply because you have sex.\\nThis is absolutely horrible.\\nThis results in a lot of the like destruction of lives for youth.\\nThere are more people who have unwanted pregnancies, and don't feel comfortable getting out of it, or don't know how to get out of it, because of like the way in which they grew up, and that's just not something that we should have.\\nIt leads to like more of affliction of diseases, more wide spreading of diseases, because people don't know the best ways to combat that, all of these things are just inherently worse, and none of these things are intrinsic to sex.\\nThere's ways to have sex without pregnancy, there's ways to have sex without spreading of diseases, billions of people do it all the time.\\nAnd we should focus on that.\\nSo for all those reasons, abstinence only sex education is absolutely horrible, it definitely brings more harm than good.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>JL_1681_internet_con_EH_implicit</td>\n",
       "      <td>The internet brings more harm than good</td>\n",
       "      <td>The internet brings more good than harm.\\nNow, I think that it's clear that on our side of the debate we don't have to prove that everything on the internet is good, or that it's good for everyone at all times, only that on balance, the good it does outweighs the harm.\\nSo that said, we have three major points.\\nCommerce, democracy, and media.\\nSo our first point is about why the internet facilitates commerce around the globe.\\nRecognize that many people who otherwise could not open their own business are able to do so because of the internet.\\nIn particular, we think that this benefits women and minorities in developed countries and developing countries.\\nIt is much easier to begin your own business online, which doesn't require a massive influx of capital for a storefront, or for any sort of physical property, only intellectual property online.\\nFor a cost of only a few dollars a month, someone can open a business that would have cost hundreds of dollars a month in terms of rent and things like that in the twentieth century.\\nWe think that ultimately, this allows people to more freely exchange ideas, to access services they wouldn't have access to, and perhaps most importantly, it empowers people who traditionally have been excluded from commerce around the globe like women, like minority groups, who can now more easily get into business.\\nWe think that this massive benefit to women around the world is going to outweigh the myriad harms of the internet that we hear about from the other team.\\nBut that said, our second point is about democracy and democratization.\\nSo the other side gives you the strange idea that democracy is decreasing around the world, and that the last twenty years hasn't been a period of expansion of democratic ideals.\\nBut this simply isn't borne out by the facts.\\nWe can see that in eastern europe, in some parts of asia, many countries have become much more democratic in the last twenty years.\\nAnd of course, they mention the arab spring and are quick to argue that that wasn't caused by the internet, or that dictators are now using the internet to crack down.\\nBut it certainly is the case the revolutions that took place in north africa and the middle east would not have been possible without tools like twitter for organizing.\\nThe reason why it was possible for young people to overthrow muammar qaddafi in the twenty tens in a way that wouldn't have been possible for them to do in the nineteen nineties, was the ease of organizing.\\nWe think that even if governments can use the internet to be oppressive, it's much less revolutionary for governments than it is for the people who are oppressed.\\nGovernments have always been able to crack down, to hurt people, to gather information, to spy.\\nBut the internet provides a unique tool for anonymous communication and for organizing.\\nIt's now possible to set up a protest with twenty thousand people in a matter of hours that would have taken months to plan in the past, and that's much harder for tin pot dictators like gaddafi to crack down on.\\nSo we think that ultimately, the internet has made it possible for people to take control of their own countries and their own lives in a way they couldn't have otherwise.\\nAnd that it hasn't provided commensurate benefits to dictators and oppressive governments because they always had a huge increased amount of power relative to the people.\\nOur last point is about greater media.\\nAnd I think that even though the last two point certainly are more important, ultimately, the internet has allowed the creation of new types of art and more art to spread around the globe.\\nPeople who lived in countries who didn't have access to western media, for instance, now have much greater access to that media, and the same thing actually goes the other way as well.\\nWhereas there was a time when people in the united states would probably never have consumed art produced in sub sahara africa, or in the middle east or in southeast asia, now because of the internet people are exchanging art and media all around the globe.\\nWe think that this leads to a globalization of culture.\\nWhat we mean by this is it's already the case that trade and commerce have globalized the world.\\nBut to a large extent, cultural exchange hasn't been part of this.\\nWe think that today, more people have more in common with others around the globe across national borders, and that in the long term this will lead to less conflict, because if people are more similar to one another, have an easier time sympathizing with one another because of common interest and admiration, we think ultimately the world will be a more peaceful place.\\nSo for these reasons, because of the benefits to commerce, to democracy, and because of these media ties that will create a more peaceful society, we are proud to say the internet brings more good than harm.\\nThank you.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>WS_2107_agriculture_pro</td>\n",
       "      <td>We should not subsidize agriculture</td>\n",
       "      <td>I am proud to stand in proposition of the motion that we should not subsidize agriculture.\\nSo, three independent points.\\nThe first is that subsidies are bad just as sort of like a general thing.\\nThis is true for two reasons.\\nThe first is that they are an inefficient use of capital, that rather than, you know, purchasing these things at market price and giving them to people or supporting the industry through like tax cuts or something like that, we just give them a lump sum of cash.\\nThis is probably a poor use of money.\\nThere's better ways to do it, not just in terms of like whether you want to spend it on like social programs or something, but also just in terms of how you can use it within the industry, that tax cuts, for example, are probably just a better way to ensure that money goes directly to the corporation.\\nBut furthermore, we think that just generally like purchasing goods or something like that is a good way to ensure that the ways in which that industry affects individuals on the ground is best propagated.\\nSecondly, though, rent-seeking behaviors intrinsic to subsidies.\\nSo what I mean by rent-seeking behavior is that corporations will make decisions on what type of business practices to pursue based not on what they think is maximally efficient, you know, as they would in a normal economy, but what they think is best going to get them government subsidies.\\nThese are often inefficient business practices, like growing whatever type of crop the government thinks is important rather than what the market actually demands and what people are actually looking for, or furthermore, engaging in practices that are, you know, not necessarily great for your business or even great for the local area, something like, you know, different water tactics or different growing tactics, things that are generally set by bureaucrats, not by people that actually understand the industry.\\nAs a result, that rent-seeking behavior, that is, making decisions based on what a government bureaucrat wants, rather than what like your consumers want, creates a market landscape that is extremely harmful to the consumer insofar as it fails to meet their their demands.\\nOur second independent point is that agriculture, specifically in countries like the US that subsidize it, is probably not a good industry to pursue.\\nThis is because the countries like the US aren't very well situated for it.\\nAgriculture, you know, drains soil quality and water, and these are things that the US and other related countries are currently lacking in.\\nI think it's better for countries that are, you know, island countries, for example, that have ready access to these resources, are better situated to pursue these types of agricultural demands.\\nWe think that when the US is well-situated to pursue a certain type of agriculture, for example, we're very good for, like, meat, because we have like large plains in a central part of the country that are good for like growing cattle and things like that, we'll be able to do it without the subsidies, because the market will allow us to do it independently.\\nThat's important, and we think it's important then that the subsidies stop propping up inefficient use of land and resources.\\nOur third independent point is that by halting subsidies, you allow other countries to specialize more effectively in agricultural industries.\\nSo, importing our agricultural goods instead of just producing them domestically allows foreign markets to specialize.\\nWhen the US is isn't trying to, you know, lock down the corn or sugar industries by subsidizing them, countries that are better situated to actually engage in those practices, like the types of countries where corn and sugar actually traditionally come from, are then going to be able to specialize more effectively, because they don't have to worry about the US creating an unbalanced playing field by using its deep pockets to subsidize their domestic industry.\\nThis is beneficial for the global market.\\nIt decreases costs by allowing these , you know, practices to be refined to a tee in the countries that are best equipped to actually refine them, but it also increases quality, again, by refining practices.\\nFor these reasons, proud to propose.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2212</th>\n",
       "      <td>DJ_3278_snowden_pro</td>\n",
       "      <td>We should protect Edward Snowden</td>\n",
       "      <td>We should protect edward snowden because edward snowden did an incredibly valuable public service and it took a great deal of self sacrifice having to leave the country he grew up in behind in order to really deeply help the people in that country.\\nSo let's start by talking about why what he blew the whistle on is absolutely abhorrent and is something the government should have never been doing in the first place and certainly non-secret and then second, why it was necessary for him to take the actions that he took and circumvent like traditional like avenues of like essentially whistle blow illegally.\\nSo let's start by talking about what exactly he did.\\nObviously he uncovered a huge mass of national security surveillance.\\nA large deal of which the public wasn't really aware of and I think that this is inherently bad because there's a reason why we have several amendments in the US constitution that explicitly protect people's privacy in different ways.\\nWhether it's like freedom against searches and seizure or other kinds of things.\\nIt's always been a right the right to privacy has always been one of the most important things in america and certainly a lot of our jurisprudence upholds this idea and the reason for that is just because people have the right to have like their own identity basically and control what people know about them, what people can possibly harass them based on and what people how people are going to live their lives and when the government has essentially like near infinite information on every single person in society, that creates like a huge problem and a lot of ways it's like a surveillance state type that is really really eerie and spooky in that the government would be able to monitor you at all times, know where you're going at all times, know everything that you're doing at all times, and these are things that certainly the government just should not know about you.\\nThe government shouldn't know where you are every minute of the day.\\nThe government shouldn't know who you're talking to every minute of the day because people should have the expectation of privacy, people being able to like keep communications like maybe between people who are close to them or business communications are all of these things private.\\nBut beyond just like the fact that the government shouldn't have this information in the first place, the fact that the government is collecting all this information one place is an absolutely horrible and stupid idea especially in relation to cybersecurity.\\nSo what would be easier?\\nLet's say that you want to get every single person in america so you want to get half of americans of a hundred forty million or so security numbers, what do you do if you want a hundred and forty million security numbers?\\nDo you hack equifax or do you hack a hundred and forty million people's individual computers and try to get those security numbers?\\nYou're probably going to do the first one because that just makes way more sense because you're you're only having to do the thing once.\\nYou're getting all that massive data at once that's more useful.\\nSo when the government just compiles all of this sensitive information people's like phone like like records from like internet like transaction like basically like anything that you do that leaves some kind of a digital footprint, the government tries to illicitly collect data on, creates something that's incredibly vulnerable to hackers because the government certainly can't keep itself safe from hackers.\\nThe CIA is getting hacked for christ sake.\\nBeyond that it's also a big problem that there was never sufficient public discussion about this.\\nThere was never really consent to this in that the people never really knew the extent to which the government was actually watching them and the fact that there was so much uproar afterwards, the fact that the CI that the fact that the NSC an the CIA and all these other agencies had pressure put on them to try to change some of the tactics they're doing to make it at least a little bit better, shows how upset people were at what was happening.\\nThat people didn't know that was happening in the first place.\\nThat brings us to the final thing which is why was necessary that edward snowden did this?\\nPoliticians didn't care, the people didn't know, and this was keep going to happen again and again for who knows how long.\\nEdward snowden took a stand and for those reasons we should protect him.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2516</th>\n",
       "      <td>JL_2654_whistleblowers_pro</td>\n",
       "      <td>We should protect whistleblowers</td>\n",
       "      <td>We should protect whistleblowers.\\nWe would argue that people like chelsea manning or edward snowden who, in good faith, release government secrets or corporate secrets to the media ought have legal protections that would prevent them from being sent to jail or otherwise punished for their actions.\\nObviously, we would have to have some sort of standard for when someone is a legitimate whistleblower versus an illegitimate one, but we think that that standard should be generous in order to encourage people to blow the whistle when they see something bad going on.\\nWe have three arguments for our side this evening.\\nThe first is that whistleblowers create accountability for the powerful.\\nThe types of organizations that people blow the whistle on are those which have relatively little accountability to the public.\\nFor instance, the national security agency, or NSA, in the united states was illegally spying on the american people and foreign citizens as well, using a massive spying apparatus that no one outside of that agency could even have believed existed before the edward snowden leaks.\\nEdward snowden saw what was going on and knew that it was illegal and that it was violating people's rights in the US and abroad and felt that he had to do something.\\nWhen he leaked that information to the guardian and other newspapers, that provided accountability for the first time for the NSA to the american people and for the american government to its allies that it was spying upon.\\nThere would have been no way that the american people could know about the spying program and no way that countries like germany could know the extent of US spying in allied countries without this leak.\\nSo the only way that people are able to vote for new policies, to react differently to their allies, to improve their own security is because of the edward snowden leak.\\nSo this has created the accountability that otherwise would never have existed, because groups like the american government, and the NSA in particular, have no incentive to reveal when they break the law to people.\\nIt's only when it is shown against their will that it will become clear, so they take steps to prevent people from revealing this information, and that's why we need to protect whistleblowers: so that they can't cover this kind of thing up.\\nOur second argument is that if you don't protect whistleblowers, you create a chilling effect on future leakers.\\nLet's imagine that in the future, there's some major violation of human rights or decency by the US government.\\nBecause chelsea and edward have been treated so poorly by the american government, snowden is hiding at an airport abroad and chelsea manning was kept in jail for years without trial, ultimately it's very clear that the next person who sees these kind of abuses will not come forward, because they'll be afraid of going to jail or being exiled from the US and never able to see their family again.\\nSo this chilling effect means that we lose out on that accountability and that people aren't people to speak up when they see abuses, whether that be in intelligence or in the military or in industry, for instance, with the panama papers, where people revealed abuses being conducted by business leaders and the super wealthy.\\nBecause of the reaction to the panama papers, future people might be less likely to leak, even when legitimate crimes are going on.\\nAnd our third and final argument is that other types of information breach will replace the whistleblower, and ultimately that would be worse.\\nSo if I had information that I knew I had to get to the public and I couldn't go to a major newspaper as a legitimate whistleblower, I might, for instance, send that information to a foreign government or sell it to a rival corporation, because I know that something has to be done, but the most legitimate avenue that I have to take action, going to the media, is no longer available to me because of the way the state cracks down on whistleblowers.\\nSo it's more likely that people will do things like send western information to russia or sell out their company in a world where we punish whistleblowers.\\nFor all these reasons, we should protect whistleblowers.\\nThank you.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2573</th>\n",
       "      <td>SSH_3278_snowden_pro</td>\n",
       "      <td>We should protect Edward Snowden</td>\n",
       "      <td>We should protect edward snowden.\\nEdward snowden may not have been the brightest individual.\\nTaking on the united states government is not the wisest thing to do.\\nHowever, he put his own morality above his own safety.\\nHe revealed that the NSA has been using incredibly problematic tools to violate our privacy, and he revealed that the NSA actively develops hacking tools, vulnerability tools, which also contribute to large-scale cyber attacks, both by state and non-state actors.\\nBecause we think that edward snowden acted efficaciously, ethically, and within our bounds of justice, we would say that edward snowden should be protected.\\nOur model for today's debate is fairly simple.\\nWe would say that the united states federal government should drop their charges against edward snowden.\\nHe will have the autonomy to do whatever he wants afterwards.\\nHe can come to the united states if he wants but this, we believe, will be enough for the US to protect edward snowden and guarantee he is not put in jail for this crime.\\nTwo arguments for why this is a good idea: first, on the importance of whistleblowing.\\nWhistleblowing has two clear effects, accountability and deterrence.\\nFor accountability, we think that individuals can only engage politically, can only engage in the market if they understand what they are actually voting for, whether it's with their ballot or their wallet.\\nIf I don't understand that a politician has been contributing to global warming massively, I simply do not know how I'm going to vote effectively.\\nAdditionally, if I don't know that my government has been spying on me, I don't know that my government continuously uses the NSA to read our private messages, to violate our individual sovereignty and rights, then I cannot effectively lobby my government to change these problematic policies.\\nAdditionally, though, we think that this creates a deterrent effect when whistleblowers exist.\\nIf individuals know they'll be caught, if they know that the result of their action will be that they have more harm than the good that they got of the action itself, they will not take that action in the first place.\\nWhistleblowing create this deterrence effect cause it ensures that if individuals are caught doing something bad, they will be harmed and it massively increases the likelihood that they will be caught, in the first place.\\nTo that end, edward snowden should be protected as a whistleblower and under the general principle that whistleblowers are doing something valuable.\\nBut my second argument is about procedural justice, because we don't think that edward snowden did anything which would warrant the efforts that the united states has taken against him.\\nEdward snowden did reveal classified information.\\nHe did violate the terms of his contract, but he himself was revealing information which was illegal.\\nHe further utilized the new york times and currently existing whistleblowing laws to ensure that he was not actively releasing information which could be harmful to the united states.\\nAnd yet, the united states has pursued him tooth and nail.\\nThey have attempted with all of their might to to harm edward snowden.\\nWe believe that this is a violation of procedural justice.\\nGovernments can only be just, the criminal justice system can only be meaningful, if they follow their own laws and principles.\\nYes, edward snowden deserves a small punishment for breaking his contract.\\nHowever, his punishment should be time served overseas, being forced out of the country and forced away from his family.\\nAt this point, any further violence or, whether its state violence or individual violence, against edward snowden would be a violation of our procedural justice and fundamentally unethical.\\nAs such, we should protect edward snowden by dropping his charges.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2719</th>\n",
       "      <td>JL_1257_censor-the-internet_pro</td>\n",
       "      <td>Internet censorship brings more good than harm</td>\n",
       "      <td>Internet censorship brings more good than harm.\\nSo in this debate we acknowledge that there are good and bad things about internet censorship.\\nWe think that our burden is to tell you why the good outweighs the harm, not that there are no harms, and that the inverse is true for the other side.\\nThree arguments for you.\\nThe first is that internet censorship is a powerful tool to maintain government authority.\\nWe tell you that many countries around the world have governments which would face extreme opposition if people had access to information available from other countries media.\\nWe tell you that countries like russia and iran, for instance, have people who have limited access to the internet who may not fully understand the implications of their country's actions abroad, or things that their country is done on their behalf.\\nThe other team might tell you that it's good if people have this information so that they can remove harmful governments, but we tell you that no good is likely to come of people trying to overthrow their governments or rise up against a dictator because of information that they see online.\\nWe tell you that it's very likely, first of all, that these uprisings will fail like many of the arab spring uprisings, or that even if they succeed that ultimately the new governments changes that they put into place will be worse than what preceded because of the harms incurred during the transitional period.\\nAgain I would point to the arab spring.\\nWe see that back in two thousand eleven people were very hopeful about the outcomes of the arab spring but that ultimately what ended up happening was not very much positive change for people and we see that it probably would have been better in most cases if these governments had remained in place without the conflicts that emerged.\\nWe think that if internet censorship is a tool to avoid future arab spring-esk conflicts that we would be okay with that on our side of the debate.\\nOur second argument is about protecting people from dangerous information.\\nSo the distinction I want to make is that while the last argument is about political information, this argument is about pragmatic information.\\nWe think that governments are well within their rights to censor access to things like information on how to build a bomb, or steal a car, or otherwise put society at risk.\\nWe tell you that a lot of trouble making behavior is limited by people's access to information.\\nThat once upon a time only people who are gang members or part of organized crime would have been able to learn how to steal a car, or how to build a bomb, things like that, but that today because of the internet things like the anarchist cookbook had been widely distributed and everyone in free countries has access to this information.\\nWe think that ultimately it would be preferable to live in a world where fewer people knew how to partake in antisocial behaviors or potentially violent behaviors and that because the internet facilitates those things some censorship is in order to prevent access to them.\\nSo we would be broadly in favor of censorship of things like the anarchist cookbook or similar antisocial behavior promoting materials.\\nOur last argument is about preventing cultural conflict.\\nRecognize that things like the consumption of internet pornography have created large divides in many countries around the world, that we see that families have put a lot of pressure on people to not consume this material and that ultimately many people from conservative backgrounds want to ban it entirely.\\nWe think that in countries where many people are in favor of banning pornography or limiting access to it that ultimately it would be, first of all, correct for governments to do so because it reflects democratic will and second of all, because if a certain culture is very conservative, we think that it's not beneficial to have material that will create cultural descent.\\nUltimately we think that this will just lead to infighting and divisions within a country which might otherwise be more unified and thus have less violence and other problems.\\nSo for these reasons, ultimately, we think that internet censorship brings more good than harm.\\nWe think that the benefits to state stability will outweigh the limitations to personal freedom and we think that limiting access to troublesome information will also be a on balance good thing.\\nThank you.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2803</th>\n",
       "      <td>YBA_661_mandatory-retirement_pro</td>\n",
       "      <td>Mandatory retirement brings more good than harm</td>\n",
       "      <td>We recognize that to many people their jobs and work is a fundamental part of their lives which shapes in large part a man's identity.\\nThat is exactly why the manner in which a person retires is of huge importance.\\nWe are here to tell you that having a mandatory age of retirement allows people to retire with dignity.\\nOpposition might come and speak about the humiliation of forcing a man to quit due to his age and about how much of a discrimination it is.\\nWell we agree.\\nAnd that is exactly what we think it's critical to have a mandatory retirement age.\\nHaving a set age where both the worker and the employer know that this employee is going to retire allows for a certain framework that everyone can set their mind to.\\nLet's think of the moment where the employer understands that it will be more profitable for him to replace the seasoned employee with a new one.\\nThe question of when this moment occurs is obviously like varies from person to person, but in today's world where computers and technology have conquered much of the of the work and job market and made it very difficult for older generations we say that this age usually happens before the age of retirement and that it's not likely to change in the upcoming generations.\\nSo if the employer already knows that this employee only has two or three years left and then he's going to retire anyways it's more likely that they will that they would rather allow him to reach that retirement age whether like, be it out of respect for the employee or because of considerations of of like, cost benefits because even the the small amount of money that they could save us from replacing that employee aren't worth the bad reputation of a boss that throws his employee to the streets two years before retirement age, and the effect that it's going to have on the rest of the of this guy's employees and on their motivation.\\nBut in the absence of such a set age what's likely to happen is that employers will take care of replacing that employee as soon as he starts becoming a liability.\\nAs long as retirement is being forced upon you because of a law then it's not that much of a humiliation because it is like you could always say that well it's a random law that is supposed to only catch the average of people so it doesn't mean anything and it doesn't say anything to me personally into my personal abilities.\\nBut as soon as the retirement is being forced on you because you were fired then you have no other way of explain it explaining this to yourself other then that you are no longer valuable and that's where the humiliation and the feeling of, like, lack of self of self worth kicks in.\\nSo pay attention that even in in the best case that opposition might talk to you about if there was no mandatory retirement age people might have a few more years if they are people that that like really age marvelously so they could could keep their job their jobs for a few extra years.\\nBut eventually they will reach the age where they are being replaced with someone younger that's just how the world works.\\nSo opposition in its best case can only postpone the situation a few years but not avoid it.\\nSo in order to prevent many people from reaching a situation where where they will have to face losing their jobs in an unexpected manner with old age and all the psychological difficulties that come with it we are proud to propose.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2821</th>\n",
       "      <td>YBA_601_american-jobs_pro</td>\n",
       "      <td>The American Jobs Act brought more good than harm</td>\n",
       "      <td>John maynard keynes taught us that at times of financial lows, the smartest thing to do is to invest in invigorating and inducing the economy, even at the price of budget deficits and debt accumulation because this is going to be an investment that pays off very nicely in the long term.\\nWe are going to explain how fighting unemployment and creating new jobs benefits everyone and why this is going to pay off, especially to the rich.\\nSo, keynes observed the united states after the great depression and saw that the current neoclassic approach that the establishment is adopting of not intervening in the market isn't proving useful.\\nWhat he found was that unemployment, when allowed to roam free, easily leads to more unemployment and to a continuous drop in growth.\\nAnd the explanation is simple: when people become unemployed, they lose their purchasing power and they are forced to consume less.\\nThus, on an aggregate level, the demand for merchandise lowers and therefore, companies are forced to also lower the supply.\\nFor that, they need much less workers so they have no choice but to fire more workers, which, in turn, widens the circle of unemployment and so, we create a cycle that is quickly spinning to the bottom.\\nThe good news that keynes found was that the same multiplier effect also works symmetrically upwards.\\nAs soon as unemployment drops, the purchasing power goes up, people buy more, companies produce more so they hire more people and so on and so forth.\\nThe conclusion from all of this is that an initial investment of the state in creating jobs at the amount of ex is going to lead to a financial growth that is a few times bigger than ex, which allows for a quick return of the investment, therefore, it is a smart investment.\\nUnder keynes' influence, roosevelt came out with his new deal that has proven to be a huge success and saved the american economy from complete collapse.\\nTo tie it back to our motion, the american jobs act was meant to help the markets recover after the damage of the subprime crisis in the exact same manner that the new deal has before.\\nNote that this is not only the poor that that are going to benefit from it, but also, and maybe even especially, the rich because everything is interconnected.\\nSo, even if they are now being taxed more than before, obviously, the the rise in growth affects the rich perhaps more than anyone else because once new jobs are formed, it is going to be their companies, it is going to be their factories that are going to enjoy this boost.\\nThis means that basically, when the when the rich are complaining that now they're going to be taxed more, they're essentially complaining on not being able to have their cake and eat it and we're not even discussing how unfair that is.\\nWe say something much more elementary.\\nWe say that it is simply unwise.\\nNot intervening in the market seems like a great idea when everything goes well, but in times of financial lows, in times where recovery is needed, we must help the market step out of the shadow.\\nVery proud to support the american jobs acts.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3244</th>\n",
       "      <td>TL_601_american-jobs_con_JL_implicit</td>\n",
       "      <td>The American Jobs Act brought more good than harm</td>\n",
       "      <td>The american jobs act brought more harm than good.\\nIn this debate, we're gonna start by talking about the environment that led to the american jobs act, and the actual impact that had once it was enacted, and why these things brought more harm than good.\\nSo firstly, the background.\\nThe background that is important to recognize is that, this is a very similar bill to the stimulus package that was passed immediately after obama came into came into office in two thousand and eight following the great recession.\\nWhat's important to recognize is that that stimulus package was designed to increase job growth, it was increased to dig the dig the economy out of the recession that it passed by putting more people to work, by giving tax cuts to businesses to hire more people, and was paid for largely by taxes on the wealthy.\\nAnd following the stimulus package, economy improved to some degree, but it simply didn't have a dramatic impact on the jobs growth that it was meant to target.\\nAnd this bill, largely does similar things.\\nIt ensures that tax cuts are given to certain areas to ensure that there's an incentive to hire people who have been unemployed for long periods of time, there's a stimulus package that directly is intended to put more people back to work.\\nThe problem with this is that the government spending has a negligible impact on long run economic trends.\\nAn example of this is that if the market doesn't have available jobs or if there's very high unemployment and the government starts to put out jobs to do a particular service, if it wasn't doing that service already, if it's creating jobs, that means that it's impeding the sectors of other businesses, which means the net job creation is much lower than if the private sector had grown naturally or if there'd been some sort of innovation that gave rise to other jobs that didn't compete with those sectors.\\nThis also tends to drive up wages which makes the economy makes the market for labor much more expensive and in times when there's already high unemployment, it makes it unpopular to hire are those people.\\nNow we recognize that job growth has occurred after the american jobs act was passed or portions of it were passed.\\nBut we don't think that this is necessarily a correlation.\\nWe think that that this isn't necessarily due to causation.\\nWe think it's simply a correlation.\\nThe economy was already booming, it had it had comes out of the recession once the act had been passed, and we don't think that this is the crucial catalyst that led to the job growth we're seeing today, but rather that the steady the steady recovery that occurred after the recession is what actually bred the job growth and the environment for employment that we see today.\\nSo, why do we think that given that, that more harm than good has been done?\\nRecognize that there are tradeoffs that come with massive government spending.\\nFirstly, what occurs is that higher taxes on individual people such as the very wealthy and corporations, lead to those corporations and people being less likely to hire others because they've been caught those taxes cut into their own profits and they don't want to see a decrease there.\\nSo companies are less likely to put out new job offers which again decreases the whole goal of this bill when you have taxes on very wealthy corporations and very wealthy people.\\nSecondly, it puts a deficit on our budget which mortgages our future away.\\nWhat this means is that when the united states inevitably runs into more economic trouble, there's less trust in US credit because we already have a deficit that exists, and because we've already borrowed money in order to pay for things when times, admittedly weren't all that awful.\\nThere was slow job growth but the economy had been steady, the economy had not fallen to collapse which was the fear immediately after the great recession, and because of this, it means that we took this money on in a time when we didn't necessarily need it and in the future it's going to make some money much more expensive to borrow, which puts more of burden on people in hard economic times, and ultimately does things like raise taxes on individuals across the board.\\nGiven that this is the case we don't think that deficit spending that allowed the american jobs out to be passed was worthwhile given the negligible impact it ended up having on jobs growth.\\nAnd because of all of this, we believe that the american jobs act brought more harm than good.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3400</th>\n",
       "      <td>JL_3278_snowden_pro</td>\n",
       "      <td>We should protect Edward Snowden</td>\n",
       "      <td>We should protect edward snowden.\\nSo for anyone who's been living under a rock since twenty thirteen, edward snowden was an NSA employee who defected from the united states.\\nHe went to hong kong at first and then ended up in russia.\\nHe has applied for sanctions in many other countries but ultimately because he leaked information about illegal acts taken by the US government, he is at high risk of being sent back to the US to face a life sentence and possibly other penalties as well.\\nSo right now he's trapped in russia.\\nSo with that in mind, our first argument is that what we mean by protect is ultimately to give snowden asylum.\\nSo there's a few reasons why we think snowden needs asylum.\\nHe currently lives in russia as a temporary resident.\\nHe has a three year permit that has to get renewed every few years.\\nThis means that snowden doesn't have a lot of security.\\nUltimately, it's going to be very difficult for him to acclimate back to a normal life and to go on to be a productive member of society as long as he has to worry about getting this visa renewed for completely political reasons that I'll return to in just a little bit.\\nBut we think that asylum is also important because many countries around the world have benefited from snowden's actions.\\nCountries like germany, for instance, learned the extent of US spying on their own government officials as a result of snowden's sacrifice.\\nSo we think that in as much as other countries are benefiting from his work, they ought offer him asylum as well.\\nIt's unethical to let someone else suffer when you've benefited from the work that they've done and you could easily help them out.\\nSo although it might create a sort of diplomatic snafu for a short period of time, we think that other countries that have benefited from this information including russia, ought be willing to offer snowden permanent asylum rather than bouncing him around with temporary residence.\\nSo our next argument and the most important one in this debate, is that we want to remove snowden as a pawn in US russia relations.\\nThe united states very much wants edward snowden back so they can find out first of all, what other information he may have that hasn't been released, second of all, what he told russia that he didn't tell the washington post and the guardian because presumably he didn't give the newspapers everything he had and thirdly, so they can make an example of him by treating him absolutely horribly so that future whistle blowers will hopefully be dissuaded.\\nMeanwhile, russia can hold snowden over the US as a bargaining chip and also as a way for putin to exert his influence over the rest of the world through soft power by demonstrating that he is able to protect snowden from the united states while also using him to his own ends.\\nSo we think that if snowden were given asylum in another country like germany or france, that ultimately it would remove him as a pawn in international relations and force the US and russia to actually have adult conversations rather than rely on this kind of cold war era cowboy spying that's going on surrounding snowden right now.\\nAnd our last argument is about ultimately, what would be best for the american people who had been affected by snowden's leaks.\\nUltimately, what snowden it was a huge benefit to the american people.\\nMany experts had suspected that US spying on american citizens had reached enormous levels but no one could prove it until snowden came forward.\\nSo in the future if we ever actually see privacy reforms, which unfortunately have not come forward since both political parties are pro spying but if we do see major reforms, it will be because of the information that snowden brought us.\\nSo he's been tremendously helpful to the american people as a whole and given us a great gift by making people aware of how the NSA spies on us so that people are able to avoid it if they need or wish to do so.\\nUltimately he's returned the ability to choose privacy to the american people and by protecting him we would be repaying part of that debt.\\nSo for all of these reasons, we should give edward snowden asylum.\\nThank you.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3559</th>\n",
       "      <td>TL_3278_snowden_pro</td>\n",
       "      <td>We should protect Edward Snowden</td>\n",
       "      <td>We should protect edward snowden.\\nIn this round were gonna make two main arguments about why we think it's crucial to protect edward snowden and to set a standard for future whistle blowers.\\nThe first thing we want to talk about is about how the US government acted criminally and why that matters.\\nWhen considering criminality and in in this particular case considering the criminality of edward snowden it's important to consider the US actions and how snowden relates to them.\\nThe US government clearly acted beyond its constitutional and legal limitations.\\nFor example spying on its own citizens without a warrant, something that is blatantly unconstitutional, that edward snowden's whistle blowing revealed to us.\\nAlso things like bulk data collection on its citizens, again without a warrant, something that is clearly against the laws as currently laid out.\\nAnd in addition to how it acted internally it also spied the US also spied on international allies, breaking the implicit norms that govern the international realm and breaking and to a degree breaking the laws of how they of how we act in the international world.\\nTo justly punish snowden we think the state itself must be in the right and in this instance it clearly was not.\\nSnowden took a moral action in revealing this information, even at a potential cost to himself, and for that we don't think that edward snowden should be punished.\\nPrincipally we don't think you should punish snowden because while he may have acted criminally in a strict legal sense, he did not act criminally in terms of his of the impact of his actions.\\nWhen we think of criminality and the criminality of action there's usually some negative social or interpersonal impact that is derived from those actions.\\nBut the negative social impact is derived not from snowden's act but from the information that the government acted in such an atrocious way.\\nIt is that action that is at the root of the problem not snowden's revealing of that action.\\nAnd we certainly don't think that in a moral sense he behaved in any problematic way.\\nSo we don't think it would be just to punish edward snowden in in in this instance and for that reason we should protect him.\\nBut generally secondarily we think that we should protect whistle blowers generally.\\nEven if you think snowden is bad and horrendous we think it's generally a good idea to ensure protections for whistle blowers and we shouldn't make some sort of arbitrary exception for snowden.\\nStates have time and again shown throughout their history that they are willing and able to act beyond the boundaries of the law.\\nWhen the state violates those constraints, the legal and constitutional constraints that exist, it goes beyond the actions that the people have agreed to and becomes simply an unjust cartel abusing its apparatus.\\nIf the state is acting outside of what has been given by the people as state authority there's no distinction between that and a large bully ruling over the people within its borders.\\nWe think the state is also clearly aware of this fact and the fact that these acts are abusive as well, otherwise there would be no reason to try and get to to not try to get the legal authority to take these actions in the light of whatever parliamentary body we're talking about.\\nIn this instance it would be the US congress.\\nIf the state believed, if the united states believed that what it was doing was something that the people would consent to and it's something that is fully just then there's no reason that the FBI and the CIA in our in our spying apparatus would just allow representatives to vote and give this authority.\\nBut clearly that's not something that was going to be given by congress because the people would not have allowed it.\\nWhistle blowers are crucial in striking down government corruption, informing the public of crucial information that that helps it decide how to vote and how to act in a political sense.\\nWe should have strong protections for these whistle blowers and naturally this covers snowden as well.\\nFor these reasons we should protect edward snowden.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3560</th>\n",
       "      <td>RG_2656_strip-clubs_pro</td>\n",
       "      <td>We should ban strip clubs</td>\n",
       "      <td>Ban strip clubs.\\nThree main areas of clash, first on why it is bad for societal norms.\\nWe want to break this down across the two sexes.\\nFirst we want to talk about women because we think that strip clubs really propagate a lot of really bad stereotypes about the way that women ought present themselves and what purpose women have.\\nWe think the problem is that even if society tries to pretend that women can do other things like they tell women that you can be more than just your body you can do things like pursue intellectual pursuits as long as things like strip clubs exist and the media reinforces their existence it is always going to be the case that there's a contradicting message sent by the general populace and sent by men.\\nOne that says that reaffirms all of the existing norms of objectification that tells women that regardless of what else they accomplish their basic use is going to be their for their body their point is going to be attractive and we feel like the problem with that then is that it like propagates the system that we already existed that prioritizes male desires and male pleasures and male like male pursuits above anything that has to do with women.\\nThis is literally an entire franchise created around the idea that men are going to satiate the deepest desires that women are going to satiate the deepest desires of men who come there.\\nWe also think the problem is like it propagates incredibly problematic norms of attractiveness.\\nWhen large proportion of the population go to strip clubs and like that's one of their earlier exposures to sex and to women and like that's one of the things that even when you're a child you hear about then in the way in which those strippers look becomes part of how you think the opposite gender ought look if you are a man.\\nIt's really difficult to be a stripper if you're above like a skinny a very skinny weight like we think of the idea they propagate is the only way in which you can be sexy or attractive is if you look in a particular manner or fit a certain image.\\nWe also think there there's like a harm to men as well.\\nIt narrows the way that they can see how women ought look or perform for them.\\nIt desensitizes men to real bodies and desires the majority of women don't look like that and don't want to be sex objects but if your main exposure to like sexuality and to the way that these things work is through strip clubs that's not something that you are likely to understand.\\nOur second area of clash is about how it encourages other really bad behavior.\\nLegal strip clubs attract illegal activities and that they often become hubs of drugs, prostitution, and trafficking but it's really hard to to regulate when all of these things have a legal front attached to them ie was that quiet backroom one for personal dances or was it a back room where women were being exploited and like sex trafficking was happening.\\nWe think that it becomes infinitely easier to expose these kinds of things and keep them actually like prevented when you ban strip clubs as a whole so that way there isn't an excuse for why that backroom exists and things like that.\\nOur third area of clash is about how it's fundamentally exploitative.\\nRecognize that the majority of strip clubs are run by men and they capitalize on women who are desperate but so that they can mistreat them ie if I am someone who cannot find a job somewhere else and recognize that even if we like to pretend that stripping can be empowering it is oftentimes the case of the people who end up at strip clubs aren't people who had their first decision to be there rather it is people who needed the money or who ended up there because they didn't have other alternatives.\\nWhat happens then is that because they are in a like in a position that is often disrespected by society they are often paid very little, there's no sexual harassment regulation because people see it as something that they deserve like these are honestly people who end up in this industry because they don't like not because they want to be there but because they get stuck there and then the industry uses them up and throws them back out.\\nThere's very little job stability, there's very little support if you are someone with a child then that's not something that your job will ever take into account we think that insofar this is something that is only ever going to harm people it ought not exist.\\nBan it.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    speech-id  \\\n",
       "1333  TL_2469_teacher-tenure_con_YBA_implicit   \n",
       "1474          YBA_2222_single-sex-schools_pro   \n",
       "1706   DJ_941_abstinence-only_con_TL_implicit   \n",
       "1910         JL_1681_internet_con_EH_implicit   \n",
       "2020                  WS_2107_agriculture_pro   \n",
       "2212                      DJ_3278_snowden_pro   \n",
       "2516               JL_2654_whistleblowers_pro   \n",
       "2573                     SSH_3278_snowden_pro   \n",
       "2719          JL_1257_censor-the-internet_pro   \n",
       "2803         YBA_661_mandatory-retirement_pro   \n",
       "2821                YBA_601_american-jobs_pro   \n",
       "3244     TL_601_american-jobs_con_JL_implicit   \n",
       "3400                      JL_3278_snowden_pro   \n",
       "3559                      TL_3278_snowden_pro   \n",
       "3560                  RG_2656_strip-clubs_pro   \n",
       "\n",
       "                                                        motion  \\\n",
       "1333      The teacher tenure reform brings more good than harm   \n",
       "1474              Single-sex schools bring more good than harm   \n",
       "1706  Abstinence-only sex education brings more good than harm   \n",
       "1910                   The internet brings more harm than good   \n",
       "2020                       We should not subsidize agriculture   \n",
       "2212                          We should protect Edward Snowden   \n",
       "2516                          We should protect whistleblowers   \n",
       "2573                          We should protect Edward Snowden   \n",
       "2719            Internet censorship brings more good than harm   \n",
       "2803           Mandatory retirement brings more good than harm   \n",
       "2821         The American Jobs Act brought more good than harm   \n",
       "3244         The American Jobs Act brought more good than harm   \n",
       "3400                          We should protect Edward Snowden   \n",
       "3559                          We should protect Edward Snowden   \n",
       "3560                                 We should ban strip clubs   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     text  \n",
       "1333  Teacher tenure reform brings more harm than good.\\nWhen we're talking about teacher tenure reform, we think we're talking about things like eliminating the length at which tenure kicks in, so making it from, say, five years at which you can receive tenure, to ten years, and shortening the amount of time that you can keep tenure for, from the rest of your life to, say, ten, five years, et cetera.\\nSo these are the reforms that we think are problematic.\\nWhy do we think that this is a an especially problematic problem?\\nWe think that in the status quo, teachers in western liberal democracies are often massively undervalued for their labour, especially in places like the united states, and in public schools especially, teachers are dramatically underpaid compared to other educational sectors such as private schools, but more importantly, teachers are underpaid compared to many other possible job opportunities that individuals can take.\\nSo why do we can the tenure is so crucial in ensuring that good teachers are in our public school systems and are allowing our children to learn in the most efficacious way possible?\\nSo first thing is teacher recruitment.\\nIn the status quo, teachers face low wages, they're often undervalued by society, especially by parents that have to interact with them that blame the teachers for the problems that their children have, and more importantly, you can bet unions all across the western world, especially teacher unions, are being attacked on a massive scale, which means that their ability to organize, their ability to get better benefits, their ability to increase their wages, and their ability to get protections that are necessary are now being limited because of the attack on unions that our current because of blame that people place on unions for increased taxes, etcetera etcetera.\\nThis given that this is the case, we think that when someone enters college and someone needs to get a degree in order to become a teacher, when they're thinking about whether or not that degree is worthwhile, we think that many people simply don't see teaching as a profession that in the long run is going to be able to pay off, is going to provide enough money to make their college education worth it, and to make it so that they can live a comfortable life.\\nTenure is an incentive that people can have that drives them into education.\\nTenure allows for job security that simply does not exist in almost any other part of our society, in any other work force in our society.\\nGiven that this is the case, we think that tenure can be an immense tool for motivating people to get into education, and we don't think that education is something that people simply never want to do, but we think that when people have to make real trade offs between whether or not they're going to get a higher or lower wage, this is something can meaningfully motivate them towards choosing teaching over, say, economics or business.\\nSecondly, teacher retention.\\nBecause recognize, not every teacher gets tenure.\\nOnly the best teachers get tenure.\\nOnly the teachers that prove they can educate in a good way, and that they can keep students engaged in the classroom, are able to get tenure.\\nGiven that this is the case, we think that these are the teachers that are most likely going to get poached by other private schools or private industry.\\nAnd again, the ability to have job security is something that is beneficial for teachers in the status quo, and is something that allows teachers to be retained, because you don't only want teachers to come in and work hard for a brief period of time, but you want teachers to breed a culture in an educational system that is one that strives for students to learn, that gets them excited about learning, and I think the way that you do this this for continuity of teachers and through ensuring that you can retain the best teachers that you have in your system.\\nWithout having tenure, it makes it impossible to lock teachers up for a long period of time, and it makes it so that other sorts of job opportunities that present to that are presented to them, say working in a private school rather than working in a public school, that pays higher wages and gets better benefits, we think that when those things are opportunities that teachers have, you can't simply give away tenure that these teachers have just because some teachers abuse it, just because some teachers get through the cracks and get tenure when they don't deserve this.\\nWe think the vast majority of teachers that receive tenure our worthy teachers that are working hard and we think that if you reform the tenure system and you make it less strong, you're simply not going to get as many qualified teachers applying or working in these schools it harms our student and harms everyone's future.\\nFor those reasons, we don't think that teacher we think that teacher tenure brings more harm than it brings good.  \n",
       "1474                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            Single sex schools bring more good than harm.\\nOn side government we argue that there are two distinct roles that schools have and they are: a, teaching, as in exposing children to knowledge and helping them develop important skills on several different fields that will help them in the future, and b, socializing, as in allowing these children to fruitfully interact and , like, collect social experiences by which they will be better prepared for life in society.\\nTwo arguments today.\\nFirst, why do mixed schools harm the ability of the schools to actually teach and two, why did single sex schools don't harm the social skills of the children.\\nBefore we begin, just to clarify, we are talking about the ages of middle school and high school and obviously we assume that the level of teaching and the level of like facilities and services is going to be identical for both genders.\\nFirst argument: what was once true to only children in high school is becoming in the in the last couple of generations more and more true in younger and younger ages and that is that girls and boys suddenly discover each other.\\nHormones begin to run wild, friendships begin to form and the classrooms are filled with teen spirit.\\nAt this point it is only natural for children to be incredibly preoccupied with their social situation.\\nHow do they look like?\\nWho took up an interest in them?\\nEtcetera.\\nWe say that at this stage entering thirty teenagers, girls and boys, into the same room for several hours each day and expect that they would be actually able to sit down concentrate and study math is just sheer lunacy.\\nEven if some of them were interested in actually studying we say that these children were not couldn't afford it because they will immediately be branded as uncool and lose the favor of the other sex.\\nAnd even if there are still two or three children that are just trying to still focus we say that this gets almost impossible when the rest of the class is so busy doing other things and the teacher spends half the time trying to shut everybody up.\\nNow this is of course a slight exaggeration but the point is that once we separate girls and boys children will spend far less time at in like gazing at someone they have a crush on or worrying how they look like or what other people might think of them and then they get more like open or they get more focused and they can sit down and study.\\nWe say that when schools want to put like forty children in one classroom then immediately we see a response coming from the parents and from everyone in society that this isn't right.\\nAnd we say that this is a justified response because this is a surrounding unfit for studying.\\nWell same goes here.\\nSecond argument: opposition is going to try and tell you that these distractions are an inseparable part of growing up and that single sex schools are going to like prevent the children from experiencing important interactions with the other sex.\\nWe agree that these interactions are an important part of like maturity, but it is unclear to us why can't these interactions and friendships be formed outside of school.\\nWe say that when we said that that the school system has two roles, they are not equally important because the school's main job is to actually be able to teach children and the rest like the socializing part is just a byproduct that comes with it.\\nIt is important but school isn't necessarily needed in order to form this.\\nChildren today are hanging out more and more in inter school gangs.\\nWe have after school activities we have the neighborhood public areas and again girls and boys are going to just be so busy thinking about one another that we are sure that they will manage with finding one another so let's at least keep the classroom sterile place and where they can actually sit down and study something.\\nWe beg you to propose.  \n",
       "1706                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        Abstinence only sex education is absolutely horrible, and only fools and idiots actually support it.\\nOr people who are just evil.\\nOr crazy.\\nSo let's talk about why, because first, I think that abstinence only sex education is immoral, and second I think it's grossly ineffective and wildly obscene.\\nSo first, let's talk about why sex abstinence only sex education is just immoral.\\nLet's not sugarcoat what abstinence only sex education is, it's trying to force archaic christian religious values onto an oftentimes unwilling more modern and progressive populace.\\nWhat this looks like, is oftentimes using scare tactics, like I don't know, you're going to you know get like pregnant and die if you have sex, or you'll get this big spooky disease, inherently by having sex.\\nIt glosses over the nuances of what this actually entails.\\nIt's trying to scare people into living in a certain kind of a lifestyle, and I think this is quite bad, because honestly there's nothing wrong with sex, there's nothing wrong with having sex, we shouldn't shame people for having sex, or wanting to have sex.\\nIt's just like a very like natural thing that humans want to do, it's fun, it's enjoyable, there's nothing wrong with it, there's no reason why we should shame it, and there's no reason why we shouldn't emphasize a focus on it.\\nThis is, like, there like being ready for sex is like being ready for like driving a car.\\nIt's just like a part of getting older, it's something that happens, you don't have to wait until marriage, whether that happens in like in like your thirties or something like that, like it's absolutely ridiculous, and it's archaic, and it's and it's ridiculous that we have institutions that try to force this lifestyle onto people.\\nBut, second, and even more perniciously, is just how ineffective an unsafe abstinence only sex education is.\\nThere is a reason why the rates of unwanted pregnancies, and the rates of STI and STD like like STD affliction are a whole lot higher in abstinence only education states, in like the deep south in america, than they are in more progressive and sane places like massachusetts.\\nAnd the reason for this is because shockingly, people do not buy into absence only sex education.\\nBecause it is such an inherent part of like human life, people tend to have sex anyway.\\nSo since this is just true, how are you going to best make sure that people actually do this in a safe and responsible and educated way?\\nWell, a good way to start doing that is by educating people.\\nWhen you do not actually educate them on like, how to like use condoms or access condoms, what are different kinds of birth controls that you can access, what are like the best ways to prevent like access to like STD's and things like that, all of these things are very important, because you feel more educated.\\nBut additionally, sense you're fostering when you have abstinence only sex education, like what I talked about earlier, you're fostering in a culture that almost shame sex.\\nSo you're going to be less willing to seek out help, you're going to be less willing to seek out contraceptives, you're going to be less willing to seek out an abortion, all of these things are less likely to happen, because you feel like society is going to shun you, or society is going to condemn you, and all of that is happening simply because you have sex.\\nThis is absolutely horrible.\\nThis results in a lot of the like destruction of lives for youth.\\nThere are more people who have unwanted pregnancies, and don't feel comfortable getting out of it, or don't know how to get out of it, because of like the way in which they grew up, and that's just not something that we should have.\\nIt leads to like more of affliction of diseases, more wide spreading of diseases, because people don't know the best ways to combat that, all of these things are just inherently worse, and none of these things are intrinsic to sex.\\nThere's ways to have sex without pregnancy, there's ways to have sex without spreading of diseases, billions of people do it all the time.\\nAnd we should focus on that.\\nSo for all those reasons, abstinence only sex education is absolutely horrible, it definitely brings more harm than good.  \n",
       "1910                                                                   The internet brings more good than harm.\\nNow, I think that it's clear that on our side of the debate we don't have to prove that everything on the internet is good, or that it's good for everyone at all times, only that on balance, the good it does outweighs the harm.\\nSo that said, we have three major points.\\nCommerce, democracy, and media.\\nSo our first point is about why the internet facilitates commerce around the globe.\\nRecognize that many people who otherwise could not open their own business are able to do so because of the internet.\\nIn particular, we think that this benefits women and minorities in developed countries and developing countries.\\nIt is much easier to begin your own business online, which doesn't require a massive influx of capital for a storefront, or for any sort of physical property, only intellectual property online.\\nFor a cost of only a few dollars a month, someone can open a business that would have cost hundreds of dollars a month in terms of rent and things like that in the twentieth century.\\nWe think that ultimately, this allows people to more freely exchange ideas, to access services they wouldn't have access to, and perhaps most importantly, it empowers people who traditionally have been excluded from commerce around the globe like women, like minority groups, who can now more easily get into business.\\nWe think that this massive benefit to women around the world is going to outweigh the myriad harms of the internet that we hear about from the other team.\\nBut that said, our second point is about democracy and democratization.\\nSo the other side gives you the strange idea that democracy is decreasing around the world, and that the last twenty years hasn't been a period of expansion of democratic ideals.\\nBut this simply isn't borne out by the facts.\\nWe can see that in eastern europe, in some parts of asia, many countries have become much more democratic in the last twenty years.\\nAnd of course, they mention the arab spring and are quick to argue that that wasn't caused by the internet, or that dictators are now using the internet to crack down.\\nBut it certainly is the case the revolutions that took place in north africa and the middle east would not have been possible without tools like twitter for organizing.\\nThe reason why it was possible for young people to overthrow muammar qaddafi in the twenty tens in a way that wouldn't have been possible for them to do in the nineteen nineties, was the ease of organizing.\\nWe think that even if governments can use the internet to be oppressive, it's much less revolutionary for governments than it is for the people who are oppressed.\\nGovernments have always been able to crack down, to hurt people, to gather information, to spy.\\nBut the internet provides a unique tool for anonymous communication and for organizing.\\nIt's now possible to set up a protest with twenty thousand people in a matter of hours that would have taken months to plan in the past, and that's much harder for tin pot dictators like gaddafi to crack down on.\\nSo we think that ultimately, the internet has made it possible for people to take control of their own countries and their own lives in a way they couldn't have otherwise.\\nAnd that it hasn't provided commensurate benefits to dictators and oppressive governments because they always had a huge increased amount of power relative to the people.\\nOur last point is about greater media.\\nAnd I think that even though the last two point certainly are more important, ultimately, the internet has allowed the creation of new types of art and more art to spread around the globe.\\nPeople who lived in countries who didn't have access to western media, for instance, now have much greater access to that media, and the same thing actually goes the other way as well.\\nWhereas there was a time when people in the united states would probably never have consumed art produced in sub sahara africa, or in the middle east or in southeast asia, now because of the internet people are exchanging art and media all around the globe.\\nWe think that this leads to a globalization of culture.\\nWhat we mean by this is it's already the case that trade and commerce have globalized the world.\\nBut to a large extent, cultural exchange hasn't been part of this.\\nWe think that today, more people have more in common with others around the globe across national borders, and that in the long term this will lead to less conflict, because if people are more similar to one another, have an easier time sympathizing with one another because of common interest and admiration, we think ultimately the world will be a more peaceful place.\\nSo for these reasons, because of the benefits to commerce, to democracy, and because of these media ties that will create a more peaceful society, we are proud to say the internet brings more good than harm.\\nThank you.  \n",
       "2020                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             I am proud to stand in proposition of the motion that we should not subsidize agriculture.\\nSo, three independent points.\\nThe first is that subsidies are bad just as sort of like a general thing.\\nThis is true for two reasons.\\nThe first is that they are an inefficient use of capital, that rather than, you know, purchasing these things at market price and giving them to people or supporting the industry through like tax cuts or something like that, we just give them a lump sum of cash.\\nThis is probably a poor use of money.\\nThere's better ways to do it, not just in terms of like whether you want to spend it on like social programs or something, but also just in terms of how you can use it within the industry, that tax cuts, for example, are probably just a better way to ensure that money goes directly to the corporation.\\nBut furthermore, we think that just generally like purchasing goods or something like that is a good way to ensure that the ways in which that industry affects individuals on the ground is best propagated.\\nSecondly, though, rent-seeking behaviors intrinsic to subsidies.\\nSo what I mean by rent-seeking behavior is that corporations will make decisions on what type of business practices to pursue based not on what they think is maximally efficient, you know, as they would in a normal economy, but what they think is best going to get them government subsidies.\\nThese are often inefficient business practices, like growing whatever type of crop the government thinks is important rather than what the market actually demands and what people are actually looking for, or furthermore, engaging in practices that are, you know, not necessarily great for your business or even great for the local area, something like, you know, different water tactics or different growing tactics, things that are generally set by bureaucrats, not by people that actually understand the industry.\\nAs a result, that rent-seeking behavior, that is, making decisions based on what a government bureaucrat wants, rather than what like your consumers want, creates a market landscape that is extremely harmful to the consumer insofar as it fails to meet their their demands.\\nOur second independent point is that agriculture, specifically in countries like the US that subsidize it, is probably not a good industry to pursue.\\nThis is because the countries like the US aren't very well situated for it.\\nAgriculture, you know, drains soil quality and water, and these are things that the US and other related countries are currently lacking in.\\nI think it's better for countries that are, you know, island countries, for example, that have ready access to these resources, are better situated to pursue these types of agricultural demands.\\nWe think that when the US is well-situated to pursue a certain type of agriculture, for example, we're very good for, like, meat, because we have like large plains in a central part of the country that are good for like growing cattle and things like that, we'll be able to do it without the subsidies, because the market will allow us to do it independently.\\nThat's important, and we think it's important then that the subsidies stop propping up inefficient use of land and resources.\\nOur third independent point is that by halting subsidies, you allow other countries to specialize more effectively in agricultural industries.\\nSo, importing our agricultural goods instead of just producing them domestically allows foreign markets to specialize.\\nWhen the US is isn't trying to, you know, lock down the corn or sugar industries by subsidizing them, countries that are better situated to actually engage in those practices, like the types of countries where corn and sugar actually traditionally come from, are then going to be able to specialize more effectively, because they don't have to worry about the US creating an unbalanced playing field by using its deep pockets to subsidize their domestic industry.\\nThis is beneficial for the global market.\\nIt decreases costs by allowing these , you know, practices to be refined to a tee in the countries that are best equipped to actually refine them, but it also increases quality, again, by refining practices.\\nFor these reasons, proud to propose.  \n",
       "2212                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     We should protect edward snowden because edward snowden did an incredibly valuable public service and it took a great deal of self sacrifice having to leave the country he grew up in behind in order to really deeply help the people in that country.\\nSo let's start by talking about why what he blew the whistle on is absolutely abhorrent and is something the government should have never been doing in the first place and certainly non-secret and then second, why it was necessary for him to take the actions that he took and circumvent like traditional like avenues of like essentially whistle blow illegally.\\nSo let's start by talking about what exactly he did.\\nObviously he uncovered a huge mass of national security surveillance.\\nA large deal of which the public wasn't really aware of and I think that this is inherently bad because there's a reason why we have several amendments in the US constitution that explicitly protect people's privacy in different ways.\\nWhether it's like freedom against searches and seizure or other kinds of things.\\nIt's always been a right the right to privacy has always been one of the most important things in america and certainly a lot of our jurisprudence upholds this idea and the reason for that is just because people have the right to have like their own identity basically and control what people know about them, what people can possibly harass them based on and what people how people are going to live their lives and when the government has essentially like near infinite information on every single person in society, that creates like a huge problem and a lot of ways it's like a surveillance state type that is really really eerie and spooky in that the government would be able to monitor you at all times, know where you're going at all times, know everything that you're doing at all times, and these are things that certainly the government just should not know about you.\\nThe government shouldn't know where you are every minute of the day.\\nThe government shouldn't know who you're talking to every minute of the day because people should have the expectation of privacy, people being able to like keep communications like maybe between people who are close to them or business communications are all of these things private.\\nBut beyond just like the fact that the government shouldn't have this information in the first place, the fact that the government is collecting all this information one place is an absolutely horrible and stupid idea especially in relation to cybersecurity.\\nSo what would be easier?\\nLet's say that you want to get every single person in america so you want to get half of americans of a hundred forty million or so security numbers, what do you do if you want a hundred and forty million security numbers?\\nDo you hack equifax or do you hack a hundred and forty million people's individual computers and try to get those security numbers?\\nYou're probably going to do the first one because that just makes way more sense because you're you're only having to do the thing once.\\nYou're getting all that massive data at once that's more useful.\\nSo when the government just compiles all of this sensitive information people's like phone like like records from like internet like transaction like basically like anything that you do that leaves some kind of a digital footprint, the government tries to illicitly collect data on, creates something that's incredibly vulnerable to hackers because the government certainly can't keep itself safe from hackers.\\nThe CIA is getting hacked for christ sake.\\nBeyond that it's also a big problem that there was never sufficient public discussion about this.\\nThere was never really consent to this in that the people never really knew the extent to which the government was actually watching them and the fact that there was so much uproar afterwards, the fact that the CI that the fact that the NSC an the CIA and all these other agencies had pressure put on them to try to change some of the tactics they're doing to make it at least a little bit better, shows how upset people were at what was happening.\\nThat people didn't know that was happening in the first place.\\nThat brings us to the final thing which is why was necessary that edward snowden did this?\\nPoliticians didn't care, the people didn't know, and this was keep going to happen again and again for who knows how long.\\nEdward snowden took a stand and for those reasons we should protect him.  \n",
       "2516                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    We should protect whistleblowers.\\nWe would argue that people like chelsea manning or edward snowden who, in good faith, release government secrets or corporate secrets to the media ought have legal protections that would prevent them from being sent to jail or otherwise punished for their actions.\\nObviously, we would have to have some sort of standard for when someone is a legitimate whistleblower versus an illegitimate one, but we think that that standard should be generous in order to encourage people to blow the whistle when they see something bad going on.\\nWe have three arguments for our side this evening.\\nThe first is that whistleblowers create accountability for the powerful.\\nThe types of organizations that people blow the whistle on are those which have relatively little accountability to the public.\\nFor instance, the national security agency, or NSA, in the united states was illegally spying on the american people and foreign citizens as well, using a massive spying apparatus that no one outside of that agency could even have believed existed before the edward snowden leaks.\\nEdward snowden saw what was going on and knew that it was illegal and that it was violating people's rights in the US and abroad and felt that he had to do something.\\nWhen he leaked that information to the guardian and other newspapers, that provided accountability for the first time for the NSA to the american people and for the american government to its allies that it was spying upon.\\nThere would have been no way that the american people could know about the spying program and no way that countries like germany could know the extent of US spying in allied countries without this leak.\\nSo the only way that people are able to vote for new policies, to react differently to their allies, to improve their own security is because of the edward snowden leak.\\nSo this has created the accountability that otherwise would never have existed, because groups like the american government, and the NSA in particular, have no incentive to reveal when they break the law to people.\\nIt's only when it is shown against their will that it will become clear, so they take steps to prevent people from revealing this information, and that's why we need to protect whistleblowers: so that they can't cover this kind of thing up.\\nOur second argument is that if you don't protect whistleblowers, you create a chilling effect on future leakers.\\nLet's imagine that in the future, there's some major violation of human rights or decency by the US government.\\nBecause chelsea and edward have been treated so poorly by the american government, snowden is hiding at an airport abroad and chelsea manning was kept in jail for years without trial, ultimately it's very clear that the next person who sees these kind of abuses will not come forward, because they'll be afraid of going to jail or being exiled from the US and never able to see their family again.\\nSo this chilling effect means that we lose out on that accountability and that people aren't people to speak up when they see abuses, whether that be in intelligence or in the military or in industry, for instance, with the panama papers, where people revealed abuses being conducted by business leaders and the super wealthy.\\nBecause of the reaction to the panama papers, future people might be less likely to leak, even when legitimate crimes are going on.\\nAnd our third and final argument is that other types of information breach will replace the whistleblower, and ultimately that would be worse.\\nSo if I had information that I knew I had to get to the public and I couldn't go to a major newspaper as a legitimate whistleblower, I might, for instance, send that information to a foreign government or sell it to a rival corporation, because I know that something has to be done, but the most legitimate avenue that I have to take action, going to the media, is no longer available to me because of the way the state cracks down on whistleblowers.\\nSo it's more likely that people will do things like send western information to russia or sell out their company in a world where we punish whistleblowers.\\nFor all these reasons, we should protect whistleblowers.\\nThank you.  \n",
       "2573                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            We should protect edward snowden.\\nEdward snowden may not have been the brightest individual.\\nTaking on the united states government is not the wisest thing to do.\\nHowever, he put his own morality above his own safety.\\nHe revealed that the NSA has been using incredibly problematic tools to violate our privacy, and he revealed that the NSA actively develops hacking tools, vulnerability tools, which also contribute to large-scale cyber attacks, both by state and non-state actors.\\nBecause we think that edward snowden acted efficaciously, ethically, and within our bounds of justice, we would say that edward snowden should be protected.\\nOur model for today's debate is fairly simple.\\nWe would say that the united states federal government should drop their charges against edward snowden.\\nHe will have the autonomy to do whatever he wants afterwards.\\nHe can come to the united states if he wants but this, we believe, will be enough for the US to protect edward snowden and guarantee he is not put in jail for this crime.\\nTwo arguments for why this is a good idea: first, on the importance of whistleblowing.\\nWhistleblowing has two clear effects, accountability and deterrence.\\nFor accountability, we think that individuals can only engage politically, can only engage in the market if they understand what they are actually voting for, whether it's with their ballot or their wallet.\\nIf I don't understand that a politician has been contributing to global warming massively, I simply do not know how I'm going to vote effectively.\\nAdditionally, if I don't know that my government has been spying on me, I don't know that my government continuously uses the NSA to read our private messages, to violate our individual sovereignty and rights, then I cannot effectively lobby my government to change these problematic policies.\\nAdditionally, though, we think that this creates a deterrent effect when whistleblowers exist.\\nIf individuals know they'll be caught, if they know that the result of their action will be that they have more harm than the good that they got of the action itself, they will not take that action in the first place.\\nWhistleblowing create this deterrence effect cause it ensures that if individuals are caught doing something bad, they will be harmed and it massively increases the likelihood that they will be caught, in the first place.\\nTo that end, edward snowden should be protected as a whistleblower and under the general principle that whistleblowers are doing something valuable.\\nBut my second argument is about procedural justice, because we don't think that edward snowden did anything which would warrant the efforts that the united states has taken against him.\\nEdward snowden did reveal classified information.\\nHe did violate the terms of his contract, but he himself was revealing information which was illegal.\\nHe further utilized the new york times and currently existing whistleblowing laws to ensure that he was not actively releasing information which could be harmful to the united states.\\nAnd yet, the united states has pursued him tooth and nail.\\nThey have attempted with all of their might to to harm edward snowden.\\nWe believe that this is a violation of procedural justice.\\nGovernments can only be just, the criminal justice system can only be meaningful, if they follow their own laws and principles.\\nYes, edward snowden deserves a small punishment for breaking his contract.\\nHowever, his punishment should be time served overseas, being forced out of the country and forced away from his family.\\nAt this point, any further violence or, whether its state violence or individual violence, against edward snowden would be a violation of our procedural justice and fundamentally unethical.\\nAs such, we should protect edward snowden by dropping his charges.  \n",
       "2719                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          Internet censorship brings more good than harm.\\nSo in this debate we acknowledge that there are good and bad things about internet censorship.\\nWe think that our burden is to tell you why the good outweighs the harm, not that there are no harms, and that the inverse is true for the other side.\\nThree arguments for you.\\nThe first is that internet censorship is a powerful tool to maintain government authority.\\nWe tell you that many countries around the world have governments which would face extreme opposition if people had access to information available from other countries media.\\nWe tell you that countries like russia and iran, for instance, have people who have limited access to the internet who may not fully understand the implications of their country's actions abroad, or things that their country is done on their behalf.\\nThe other team might tell you that it's good if people have this information so that they can remove harmful governments, but we tell you that no good is likely to come of people trying to overthrow their governments or rise up against a dictator because of information that they see online.\\nWe tell you that it's very likely, first of all, that these uprisings will fail like many of the arab spring uprisings, or that even if they succeed that ultimately the new governments changes that they put into place will be worse than what preceded because of the harms incurred during the transitional period.\\nAgain I would point to the arab spring.\\nWe see that back in two thousand eleven people were very hopeful about the outcomes of the arab spring but that ultimately what ended up happening was not very much positive change for people and we see that it probably would have been better in most cases if these governments had remained in place without the conflicts that emerged.\\nWe think that if internet censorship is a tool to avoid future arab spring-esk conflicts that we would be okay with that on our side of the debate.\\nOur second argument is about protecting people from dangerous information.\\nSo the distinction I want to make is that while the last argument is about political information, this argument is about pragmatic information.\\nWe think that governments are well within their rights to censor access to things like information on how to build a bomb, or steal a car, or otherwise put society at risk.\\nWe tell you that a lot of trouble making behavior is limited by people's access to information.\\nThat once upon a time only people who are gang members or part of organized crime would have been able to learn how to steal a car, or how to build a bomb, things like that, but that today because of the internet things like the anarchist cookbook had been widely distributed and everyone in free countries has access to this information.\\nWe think that ultimately it would be preferable to live in a world where fewer people knew how to partake in antisocial behaviors or potentially violent behaviors and that because the internet facilitates those things some censorship is in order to prevent access to them.\\nSo we would be broadly in favor of censorship of things like the anarchist cookbook or similar antisocial behavior promoting materials.\\nOur last argument is about preventing cultural conflict.\\nRecognize that things like the consumption of internet pornography have created large divides in many countries around the world, that we see that families have put a lot of pressure on people to not consume this material and that ultimately many people from conservative backgrounds want to ban it entirely.\\nWe think that in countries where many people are in favor of banning pornography or limiting access to it that ultimately it would be, first of all, correct for governments to do so because it reflects democratic will and second of all, because if a certain culture is very conservative, we think that it's not beneficial to have material that will create cultural descent.\\nUltimately we think that this will just lead to infighting and divisions within a country which might otherwise be more unified and thus have less violence and other problems.\\nSo for these reasons, ultimately, we think that internet censorship brings more good than harm.\\nWe think that the benefits to state stability will outweigh the limitations to personal freedom and we think that limiting access to troublesome information will also be a on balance good thing.\\nThank you.  \n",
       "2803                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               We recognize that to many people their jobs and work is a fundamental part of their lives which shapes in large part a man's identity.\\nThat is exactly why the manner in which a person retires is of huge importance.\\nWe are here to tell you that having a mandatory age of retirement allows people to retire with dignity.\\nOpposition might come and speak about the humiliation of forcing a man to quit due to his age and about how much of a discrimination it is.\\nWell we agree.\\nAnd that is exactly what we think it's critical to have a mandatory retirement age.\\nHaving a set age where both the worker and the employer know that this employee is going to retire allows for a certain framework that everyone can set their mind to.\\nLet's think of the moment where the employer understands that it will be more profitable for him to replace the seasoned employee with a new one.\\nThe question of when this moment occurs is obviously like varies from person to person, but in today's world where computers and technology have conquered much of the of the work and job market and made it very difficult for older generations we say that this age usually happens before the age of retirement and that it's not likely to change in the upcoming generations.\\nSo if the employer already knows that this employee only has two or three years left and then he's going to retire anyways it's more likely that they will that they would rather allow him to reach that retirement age whether like, be it out of respect for the employee or because of considerations of of like, cost benefits because even the the small amount of money that they could save us from replacing that employee aren't worth the bad reputation of a boss that throws his employee to the streets two years before retirement age, and the effect that it's going to have on the rest of the of this guy's employees and on their motivation.\\nBut in the absence of such a set age what's likely to happen is that employers will take care of replacing that employee as soon as he starts becoming a liability.\\nAs long as retirement is being forced upon you because of a law then it's not that much of a humiliation because it is like you could always say that well it's a random law that is supposed to only catch the average of people so it doesn't mean anything and it doesn't say anything to me personally into my personal abilities.\\nBut as soon as the retirement is being forced on you because you were fired then you have no other way of explain it explaining this to yourself other then that you are no longer valuable and that's where the humiliation and the feeling of, like, lack of self of self worth kicks in.\\nSo pay attention that even in in the best case that opposition might talk to you about if there was no mandatory retirement age people might have a few more years if they are people that that like really age marvelously so they could could keep their job their jobs for a few extra years.\\nBut eventually they will reach the age where they are being replaced with someone younger that's just how the world works.\\nSo opposition in its best case can only postpone the situation a few years but not avoid it.\\nSo in order to prevent many people from reaching a situation where where they will have to face losing their jobs in an unexpected manner with old age and all the psychological difficulties that come with it we are proud to propose.  \n",
       "2821                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          John maynard keynes taught us that at times of financial lows, the smartest thing to do is to invest in invigorating and inducing the economy, even at the price of budget deficits and debt accumulation because this is going to be an investment that pays off very nicely in the long term.\\nWe are going to explain how fighting unemployment and creating new jobs benefits everyone and why this is going to pay off, especially to the rich.\\nSo, keynes observed the united states after the great depression and saw that the current neoclassic approach that the establishment is adopting of not intervening in the market isn't proving useful.\\nWhat he found was that unemployment, when allowed to roam free, easily leads to more unemployment and to a continuous drop in growth.\\nAnd the explanation is simple: when people become unemployed, they lose their purchasing power and they are forced to consume less.\\nThus, on an aggregate level, the demand for merchandise lowers and therefore, companies are forced to also lower the supply.\\nFor that, they need much less workers so they have no choice but to fire more workers, which, in turn, widens the circle of unemployment and so, we create a cycle that is quickly spinning to the bottom.\\nThe good news that keynes found was that the same multiplier effect also works symmetrically upwards.\\nAs soon as unemployment drops, the purchasing power goes up, people buy more, companies produce more so they hire more people and so on and so forth.\\nThe conclusion from all of this is that an initial investment of the state in creating jobs at the amount of ex is going to lead to a financial growth that is a few times bigger than ex, which allows for a quick return of the investment, therefore, it is a smart investment.\\nUnder keynes' influence, roosevelt came out with his new deal that has proven to be a huge success and saved the american economy from complete collapse.\\nTo tie it back to our motion, the american jobs act was meant to help the markets recover after the damage of the subprime crisis in the exact same manner that the new deal has before.\\nNote that this is not only the poor that that are going to benefit from it, but also, and maybe even especially, the rich because everything is interconnected.\\nSo, even if they are now being taxed more than before, obviously, the the rise in growth affects the rich perhaps more than anyone else because once new jobs are formed, it is going to be their companies, it is going to be their factories that are going to enjoy this boost.\\nThis means that basically, when the when the rich are complaining that now they're going to be taxed more, they're essentially complaining on not being able to have their cake and eat it and we're not even discussing how unfair that is.\\nWe say something much more elementary.\\nWe say that it is simply unwise.\\nNot intervening in the market seems like a great idea when everything goes well, but in times of financial lows, in times where recovery is needed, we must help the market step out of the shadow.\\nVery proud to support the american jobs acts.  \n",
       "3244                                                                                                                                                                                                                                                                                                                                                                                                                                                                         The american jobs act brought more harm than good.\\nIn this debate, we're gonna start by talking about the environment that led to the american jobs act, and the actual impact that had once it was enacted, and why these things brought more harm than good.\\nSo firstly, the background.\\nThe background that is important to recognize is that, this is a very similar bill to the stimulus package that was passed immediately after obama came into came into office in two thousand and eight following the great recession.\\nWhat's important to recognize is that that stimulus package was designed to increase job growth, it was increased to dig the dig the economy out of the recession that it passed by putting more people to work, by giving tax cuts to businesses to hire more people, and was paid for largely by taxes on the wealthy.\\nAnd following the stimulus package, economy improved to some degree, but it simply didn't have a dramatic impact on the jobs growth that it was meant to target.\\nAnd this bill, largely does similar things.\\nIt ensures that tax cuts are given to certain areas to ensure that there's an incentive to hire people who have been unemployed for long periods of time, there's a stimulus package that directly is intended to put more people back to work.\\nThe problem with this is that the government spending has a negligible impact on long run economic trends.\\nAn example of this is that if the market doesn't have available jobs or if there's very high unemployment and the government starts to put out jobs to do a particular service, if it wasn't doing that service already, if it's creating jobs, that means that it's impeding the sectors of other businesses, which means the net job creation is much lower than if the private sector had grown naturally or if there'd been some sort of innovation that gave rise to other jobs that didn't compete with those sectors.\\nThis also tends to drive up wages which makes the economy makes the market for labor much more expensive and in times when there's already high unemployment, it makes it unpopular to hire are those people.\\nNow we recognize that job growth has occurred after the american jobs act was passed or portions of it were passed.\\nBut we don't think that this is necessarily a correlation.\\nWe think that that this isn't necessarily due to causation.\\nWe think it's simply a correlation.\\nThe economy was already booming, it had it had comes out of the recession once the act had been passed, and we don't think that this is the crucial catalyst that led to the job growth we're seeing today, but rather that the steady the steady recovery that occurred after the recession is what actually bred the job growth and the environment for employment that we see today.\\nSo, why do we think that given that, that more harm than good has been done?\\nRecognize that there are tradeoffs that come with massive government spending.\\nFirstly, what occurs is that higher taxes on individual people such as the very wealthy and corporations, lead to those corporations and people being less likely to hire others because they've been caught those taxes cut into their own profits and they don't want to see a decrease there.\\nSo companies are less likely to put out new job offers which again decreases the whole goal of this bill when you have taxes on very wealthy corporations and very wealthy people.\\nSecondly, it puts a deficit on our budget which mortgages our future away.\\nWhat this means is that when the united states inevitably runs into more economic trouble, there's less trust in US credit because we already have a deficit that exists, and because we've already borrowed money in order to pay for things when times, admittedly weren't all that awful.\\nThere was slow job growth but the economy had been steady, the economy had not fallen to collapse which was the fear immediately after the great recession, and because of this, it means that we took this money on in a time when we didn't necessarily need it and in the future it's going to make some money much more expensive to borrow, which puts more of burden on people in hard economic times, and ultimately does things like raise taxes on individuals across the board.\\nGiven that this is the case we don't think that deficit spending that allowed the american jobs out to be passed was worthwhile given the negligible impact it ended up having on jobs growth.\\nAnd because of all of this, we believe that the american jobs act brought more harm than good.  \n",
       "3400                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          We should protect edward snowden.\\nSo for anyone who's been living under a rock since twenty thirteen, edward snowden was an NSA employee who defected from the united states.\\nHe went to hong kong at first and then ended up in russia.\\nHe has applied for sanctions in many other countries but ultimately because he leaked information about illegal acts taken by the US government, he is at high risk of being sent back to the US to face a life sentence and possibly other penalties as well.\\nSo right now he's trapped in russia.\\nSo with that in mind, our first argument is that what we mean by protect is ultimately to give snowden asylum.\\nSo there's a few reasons why we think snowden needs asylum.\\nHe currently lives in russia as a temporary resident.\\nHe has a three year permit that has to get renewed every few years.\\nThis means that snowden doesn't have a lot of security.\\nUltimately, it's going to be very difficult for him to acclimate back to a normal life and to go on to be a productive member of society as long as he has to worry about getting this visa renewed for completely political reasons that I'll return to in just a little bit.\\nBut we think that asylum is also important because many countries around the world have benefited from snowden's actions.\\nCountries like germany, for instance, learned the extent of US spying on their own government officials as a result of snowden's sacrifice.\\nSo we think that in as much as other countries are benefiting from his work, they ought offer him asylum as well.\\nIt's unethical to let someone else suffer when you've benefited from the work that they've done and you could easily help them out.\\nSo although it might create a sort of diplomatic snafu for a short period of time, we think that other countries that have benefited from this information including russia, ought be willing to offer snowden permanent asylum rather than bouncing him around with temporary residence.\\nSo our next argument and the most important one in this debate, is that we want to remove snowden as a pawn in US russia relations.\\nThe united states very much wants edward snowden back so they can find out first of all, what other information he may have that hasn't been released, second of all, what he told russia that he didn't tell the washington post and the guardian because presumably he didn't give the newspapers everything he had and thirdly, so they can make an example of him by treating him absolutely horribly so that future whistle blowers will hopefully be dissuaded.\\nMeanwhile, russia can hold snowden over the US as a bargaining chip and also as a way for putin to exert his influence over the rest of the world through soft power by demonstrating that he is able to protect snowden from the united states while also using him to his own ends.\\nSo we think that if snowden were given asylum in another country like germany or france, that ultimately it would remove him as a pawn in international relations and force the US and russia to actually have adult conversations rather than rely on this kind of cold war era cowboy spying that's going on surrounding snowden right now.\\nAnd our last argument is about ultimately, what would be best for the american people who had been affected by snowden's leaks.\\nUltimately, what snowden it was a huge benefit to the american people.\\nMany experts had suspected that US spying on american citizens had reached enormous levels but no one could prove it until snowden came forward.\\nSo in the future if we ever actually see privacy reforms, which unfortunately have not come forward since both political parties are pro spying but if we do see major reforms, it will be because of the information that snowden brought us.\\nSo he's been tremendously helpful to the american people as a whole and given us a great gift by making people aware of how the NSA spies on us so that people are able to avoid it if they need or wish to do so.\\nUltimately he's returned the ability to choose privacy to the american people and by protecting him we would be repaying part of that debt.\\nSo for all of these reasons, we should give edward snowden asylum.\\nThank you.  \n",
       "3559                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    We should protect edward snowden.\\nIn this round were gonna make two main arguments about why we think it's crucial to protect edward snowden and to set a standard for future whistle blowers.\\nThe first thing we want to talk about is about how the US government acted criminally and why that matters.\\nWhen considering criminality and in in this particular case considering the criminality of edward snowden it's important to consider the US actions and how snowden relates to them.\\nThe US government clearly acted beyond its constitutional and legal limitations.\\nFor example spying on its own citizens without a warrant, something that is blatantly unconstitutional, that edward snowden's whistle blowing revealed to us.\\nAlso things like bulk data collection on its citizens, again without a warrant, something that is clearly against the laws as currently laid out.\\nAnd in addition to how it acted internally it also spied the US also spied on international allies, breaking the implicit norms that govern the international realm and breaking and to a degree breaking the laws of how they of how we act in the international world.\\nTo justly punish snowden we think the state itself must be in the right and in this instance it clearly was not.\\nSnowden took a moral action in revealing this information, even at a potential cost to himself, and for that we don't think that edward snowden should be punished.\\nPrincipally we don't think you should punish snowden because while he may have acted criminally in a strict legal sense, he did not act criminally in terms of his of the impact of his actions.\\nWhen we think of criminality and the criminality of action there's usually some negative social or interpersonal impact that is derived from those actions.\\nBut the negative social impact is derived not from snowden's act but from the information that the government acted in such an atrocious way.\\nIt is that action that is at the root of the problem not snowden's revealing of that action.\\nAnd we certainly don't think that in a moral sense he behaved in any problematic way.\\nSo we don't think it would be just to punish edward snowden in in in this instance and for that reason we should protect him.\\nBut generally secondarily we think that we should protect whistle blowers generally.\\nEven if you think snowden is bad and horrendous we think it's generally a good idea to ensure protections for whistle blowers and we shouldn't make some sort of arbitrary exception for snowden.\\nStates have time and again shown throughout their history that they are willing and able to act beyond the boundaries of the law.\\nWhen the state violates those constraints, the legal and constitutional constraints that exist, it goes beyond the actions that the people have agreed to and becomes simply an unjust cartel abusing its apparatus.\\nIf the state is acting outside of what has been given by the people as state authority there's no distinction between that and a large bully ruling over the people within its borders.\\nWe think the state is also clearly aware of this fact and the fact that these acts are abusive as well, otherwise there would be no reason to try and get to to not try to get the legal authority to take these actions in the light of whatever parliamentary body we're talking about.\\nIn this instance it would be the US congress.\\nIf the state believed, if the united states believed that what it was doing was something that the people would consent to and it's something that is fully just then there's no reason that the FBI and the CIA in our in our spying apparatus would just allow representatives to vote and give this authority.\\nBut clearly that's not something that was going to be given by congress because the people would not have allowed it.\\nWhistle blowers are crucial in striking down government corruption, informing the public of crucial information that that helps it decide how to vote and how to act in a political sense.\\nWe should have strong protections for these whistle blowers and naturally this covers snowden as well.\\nFor these reasons we should protect edward snowden.  \n",
       "3560                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       Ban strip clubs.\\nThree main areas of clash, first on why it is bad for societal norms.\\nWe want to break this down across the two sexes.\\nFirst we want to talk about women because we think that strip clubs really propagate a lot of really bad stereotypes about the way that women ought present themselves and what purpose women have.\\nWe think the problem is that even if society tries to pretend that women can do other things like they tell women that you can be more than just your body you can do things like pursue intellectual pursuits as long as things like strip clubs exist and the media reinforces their existence it is always going to be the case that there's a contradicting message sent by the general populace and sent by men.\\nOne that says that reaffirms all of the existing norms of objectification that tells women that regardless of what else they accomplish their basic use is going to be their for their body their point is going to be attractive and we feel like the problem with that then is that it like propagates the system that we already existed that prioritizes male desires and male pleasures and male like male pursuits above anything that has to do with women.\\nThis is literally an entire franchise created around the idea that men are going to satiate the deepest desires that women are going to satiate the deepest desires of men who come there.\\nWe also think the problem is like it propagates incredibly problematic norms of attractiveness.\\nWhen large proportion of the population go to strip clubs and like that's one of their earlier exposures to sex and to women and like that's one of the things that even when you're a child you hear about then in the way in which those strippers look becomes part of how you think the opposite gender ought look if you are a man.\\nIt's really difficult to be a stripper if you're above like a skinny a very skinny weight like we think of the idea they propagate is the only way in which you can be sexy or attractive is if you look in a particular manner or fit a certain image.\\nWe also think there there's like a harm to men as well.\\nIt narrows the way that they can see how women ought look or perform for them.\\nIt desensitizes men to real bodies and desires the majority of women don't look like that and don't want to be sex objects but if your main exposure to like sexuality and to the way that these things work is through strip clubs that's not something that you are likely to understand.\\nOur second area of clash is about how it encourages other really bad behavior.\\nLegal strip clubs attract illegal activities and that they often become hubs of drugs, prostitution, and trafficking but it's really hard to to regulate when all of these things have a legal front attached to them ie was that quiet backroom one for personal dances or was it a back room where women were being exploited and like sex trafficking was happening.\\nWe think that it becomes infinitely easier to expose these kinds of things and keep them actually like prevented when you ban strip clubs as a whole so that way there isn't an excuse for why that backroom exists and things like that.\\nOur third area of clash is about how it's fundamentally exploitative.\\nRecognize that the majority of strip clubs are run by men and they capitalize on women who are desperate but so that they can mistreat them ie if I am someone who cannot find a job somewhere else and recognize that even if we like to pretend that stripping can be empowering it is oftentimes the case of the people who end up at strip clubs aren't people who had their first decision to be there rather it is people who needed the money or who ended up there because they didn't have other alternatives.\\nWhat happens then is that because they are in a like in a position that is often disrespected by society they are often paid very little, there's no sexual harassment regulation because people see it as something that they deserve like these are honestly people who end up in this industry because they don't like not because they want to be there but because they get stuck there and then the industry uses them up and throws them back out.\\nThere's very little job stability, there's very little support if you are someone with a child then that's not something that your job will ever take into account we think that insofar this is something that is only ever going to harm people it ought not exist.\\nBan it.  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "split_annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "wav1_path = 'data/ibm_debater/full/wav/RG_2107_agriculture_con_TL_implicit.wav'\n",
    "wav2_path = 'data/ibm_debater/full/wav/RG_2107_agriculture_pro.wav'\n",
    "wav3_path = 'data/ibm_debater/full/wav/DJ_2480_racial-profiling_con_TL_implicit.wav'\n",
    "wav4_path = 'data/ibm_debater/full/wav/EH_2469_teacher-tenure_con_JL_explicit.wav'\n",
    "wav5_path = 'data/ibm_debater/full/wav/TL_3173_open-source_con_WS_implicit.wav'\n",
    "wav6_path = 'data/ibm_debater/full/wav/TL_1462_private-education_pro.wav'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pydub import AudioSegment\n",
    "from pydub.playback import play\n",
    "song1 = AudioSegment.from_wav(wav1_path)[1:15001]\n",
    "song2 = AudioSegment.from_wav(wav2_path)[1:15001]\n",
    "song3 = AudioSegment.from_wav(wav5_path)[1:15001]\n",
    "song4 = AudioSegment.from_wav(wav6_path)[1:15001]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<_io.BufferedRandom name='wav6.wav'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "song1.export(\"wav1.wav\", format=\"wav\")\n",
    "song2.export(\"wav2.wav\", format=\"wav\")\n",
    "song3.export(\"wav5.wav\", format=\"wav\")\n",
    "song4.export(\"wav6.wav\", format=\"wav\")"
   ]
  }
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