exp_helpers/PIE_segregation_util.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c753127",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from collections import defaultdict\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6261334a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a8bb2ed",
   "metadata": {},
   "source": [
    "# Segregates the MAGPIE PIEs into different groups\n",
    "For the error analysis and to study the idiom principle, the MAGPIE PIEs are grouped into different lists based on their characteristics.\n",
    "\n",
    "The characteristics are observed in the MAGPIE as well as preprocessed CommonCrawl News corpus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e8bfad26",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = '../data'\n",
    "magpie_tokens_file = data_dir + '/token_files/option1_idioms.csv'\n",
    "\n",
    "# Combined magpie datasets\n",
    "magpie_data_file = '../experiments/exp3A_1/tmp/magpie_full_exp3A_1.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c4fa3595",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_file = data_dir + '/PIE_segregation/pie_segregation.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d038d6c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total num of tokens: 1738\n"
     ]
    }
   ],
   "source": [
    "# Load the token mapping\n",
    "df_token_mapping = pd.read_csv(magpie_tokens_file)\n",
    "magpie_token_set = set(df_token_mapping['idiom_token'].values)\n",
    "print(f\"Total num of tokens: {len(magpie_token_set)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ae9bc006",
   "metadata": {},
   "outputs": [],
   "source": [
    "LABEL_IDIOM = 'idiom'\n",
    "LABEL_LITERAL = 'literal'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0b034c3e",
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence_0</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>For example , with fell running and mountain m...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I 'd keep him well IDintherunningID .</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>He IDgivesomeonethecreepsID , so I looked roun...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>‘ He 's IDdosomeoneproudID , as well,’ says Gr...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>People quickly embraced formal democracy , but...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48390</th>\n",
       "      <td>IDinanutshellID , I see N C V O as something l...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48391</th>\n",
       "      <td>I finally ran a copy to earth , with some diff...</td>\n",
       "      <td>literal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48392</th>\n",
       "      <td>However , then I hit upon the idea of finishin...</td>\n",
       "      <td>literal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48393</th>\n",
       "      <td>The fish jumped out of the tank on a few occas...</td>\n",
       "      <td>literal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48394</th>\n",
       "      <td>Many also have second or third jobs to IDmakee...</td>\n",
       "      <td>idiom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48395 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              sentence_0    label\n",
       "0      For example , with fell running and mountain m...    idiom\n",
       "1                  I 'd keep him well IDintherunningID .    idiom\n",
       "2      He IDgivesomeonethecreepsID , so I looked roun...    idiom\n",
       "3      ‘ He 's IDdosomeoneproudID , as well,’ says Gr...    idiom\n",
       "4      People quickly embraced formal democracy , but...    idiom\n",
       "...                                                  ...      ...\n",
       "48390  IDinanutshellID , I see N C V O as something l...    idiom\n",
       "48391  I finally ran a copy to earth , with some diff...  literal\n",
       "48392  However , then I hit upon the idea of finishin...  literal\n",
       "48393  The fish jumped out of the tank on a few occas...  literal\n",
       "48394  Many also have second or third jobs to IDmakee...    idiom\n",
       "\n",
       "[48395 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_magpie = pd.read_csv(magpie_data_file)\n",
    "# Convert the labels from 0 and 1 to idiom and literal, for visualization purpose\n",
    "df_magpie['label'] = df_magpie['label'].map(lambda l: LABEL_IDIOM if l==0 else LABEL_LITERAL)\n",
    "df_magpie"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1707009c",
   "metadata": {},
   "source": [
    "## Preprocessing the MAGPIE sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fab2678f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>idiom_token</th>\n",
       "      <th>label</th>\n",
       "      <th>num_of_examples</th>\n",
       "      <th>total</th>\n",
       "      <th>idiomaticity_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>129</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDontheshelfID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>4</td>\n",
       "      <td>134</td>\n",
       "      <td>0.029851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3471</th>\n",
       "      <td>IDpulloutallthestopsID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3472</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>42</td>\n",
       "      <td>68</td>\n",
       "      <td>0.617647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3473</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>literal</td>\n",
       "      <td>26</td>\n",
       "      <td>68</td>\n",
       "      <td>0.382353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3475</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3476 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 idiom_token    label  num_of_examples  total  \\\n",
       "0        IDcometothinkofitID    idiom              129    129   \n",
       "1        IDcometothinkofitID  literal                0    129   \n",
       "2         IDliveandletliveID    idiom               10     10   \n",
       "3         IDliveandletliveID  literal                0     10   \n",
       "4             IDontheshelfID    idiom                4    134   \n",
       "...                      ...      ...              ...    ...   \n",
       "3471  IDpulloutallthestopsID  literal                0     39   \n",
       "3472         IDnightanddayID    idiom               42     68   \n",
       "3473         IDnightanddayID  literal               26     68   \n",
       "3474        IDkickupastinkID    idiom                5      5   \n",
       "3475        IDkickupastinkID  literal                0      5   \n",
       "\n",
       "      idiomaticity_ratio  \n",
       "0               1.000000  \n",
       "1               0.000000  \n",
       "2               1.000000  \n",
       "3               0.000000  \n",
       "4               0.029851  \n",
       "...                  ...  \n",
       "3471            0.000000  \n",
       "3472            0.617647  \n",
       "3473            0.382353  \n",
       "3474            1.000000  \n",
       "3475            0.000000  \n",
       "\n",
       "[3476 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compute a dataframe of <idiom_token, label, num_of_examples>\n",
    "row_list = []\n",
    "\n",
    "# PIEs with 0 sentences in one of the two labels\n",
    "purely_idiom_PIEs = set()\n",
    "purely_literal_PIEs = set()\n",
    "both_idiom_n_literal_PIEs = set()\n",
    "\n",
    "for mtok in magpie_token_set:\n",
    "    df_sents = df_magpie[df_magpie['sentence_0'].str.contains(mtok)]\n",
    "    idiom_counts = df_sents[df_sents['label'] == LABEL_IDIOM].shape[0]\n",
    "    literal_counts = df_sents[df_sents['label'] == LABEL_LITERAL].shape[0]\n",
    "    \n",
    "    # Construct the row\n",
    "    total_counts = idiom_counts + literal_counts\n",
    "    row = {'idiom_token': mtok, 'label': LABEL_IDIOM, 'num_of_examples': idiom_counts, 'total': total_counts}\n",
    "    row_list.append(row)\n",
    "    row = {'idiom_token': mtok, 'label': LABEL_LITERAL, 'num_of_examples': literal_counts, 'total': total_counts}\n",
    "    row_list.append(row)\n",
    "    \n",
    "    # Identify the pure PIEs\n",
    "    if idiom_counts != 0 and literal_counts != 0:\n",
    "        both_idiom_n_literal_PIEs.add(mtok)\n",
    "    elif idiom_counts == 0 and literal_counts == 0:\n",
    "        # 0 examples for this PIE, ignore it\n",
    "        pass\n",
    "    else:\n",
    "        if idiom_counts == 0:\n",
    "            purely_literal_PIEs.add(mtok)\n",
    "        if literal_counts == 0:\n",
    "            purely_idiom_PIEs.add(mtok)\n",
    "    \n",
    "df_tok_label_counts = pd.DataFrame(row_list)\n",
    "df_tok_label_counts['idiomaticity_ratio'] = df_tok_label_counts['num_of_examples'] / df_tok_label_counts['total']\n",
    "df_tok_label_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07b224c6",
   "metadata": {},
   "source": [
    "## 1. Groups based on 'Degree of Idiomaticity or Ambiguity'\n",
    "\n",
    "PIEs with  very highly degree of idiomaticity(or ambiguity) usage sentences (both idiomatic & literal usages) in the **MAGPIE dataset**, versus remaining PIEs(which are mostlikely to be either idiomatic or literal, not both).\n",
    "\n",
    "**Notes**:\n",
    "- The *'confidence'* field in the MAGPIE corpus doesn't give much information about the ambiguity as it varies only between 0.75 and 1 and only 8% of the instances have less than 1 confidence score.\n",
    "\n",
    ": Manually inspect the instances containing PIEs with majority(say 75%) of one label and a small portion of other label.\n",
    ": If they are correctly labelled, then create the criteria as follows:\n",
    "- high ambiguity\n",
    "- moderate ambiguity\n",
    "- no ambiguity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e80dc3e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4f535f56",
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_of_pies = [len(purely_idiom_PIEs), len(purely_literal_PIEs), len(both_idiom_n_literal_PIEs)]\n",
    "total_pies = sum(num_of_pies)\n",
    "percent_of_pies = [cnt/total_pies*100 for cnt in num_of_pies]\n",
    "\n",
    "category = ['Purely Idiomatic', 'Purely Literal', 'Both Idiomatic and Literal']\n",
    "plt.figure(figsize=(10,5))\n",
    "ax = sns.barplot(x=category, y=percent_of_pies, palette=\"Blues_d\")\n",
    "\n",
    "# Display the actual numbers on the bars\n",
    "for x_tick,(num,percents) in enumerate(zip(num_of_pies, percent_of_pies)):\n",
    "    ax.text(x_tick, percents+1, f\"{num} PIEs\", color='green', ha='center')\n",
    "\n",
    "plt.yticks(np.arange(0, 100, 10))\n",
    "plt.grid()\n",
    "plt.rcParams['grid.alpha'] = 0.5\n",
    "\n",
    "plt.title(f'Percentage PIEs (total:{total_pies}) and their idiomaticity in MAGPIE corpus')\n",
    "plt.ylabel('Percentage of PIEs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8ed205c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "85d8654c",
   "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>idiom_token</th>\n",
       "      <th>label</th>\n",
       "      <th>num_of_examples</th>\n",
       "      <th>total</th>\n",
       "      <th>idiomaticity_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDontheshelfID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>4</td>\n",
       "      <td>134</td>\n",
       "      <td>0.029851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>IDontheshelfID</td>\n",
       "      <td>literal</td>\n",
       "      <td>130</td>\n",
       "      <td>134</td>\n",
       "      <td>0.970149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>IDpeachesandcreamID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>IDpeachesandcreamID</td>\n",
       "      <td>literal</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>IDfireinthebellyID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3461</th>\n",
       "      <td>IDoutcoldID</td>\n",
       "      <td>literal</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>0.105263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3466</th>\n",
       "      <td>IDgooverboardID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>0.885714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3467</th>\n",
       "      <td>IDgooverboardID</td>\n",
       "      <td>literal</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>0.114286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3472</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>42</td>\n",
       "      <td>68</td>\n",
       "      <td>0.617647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3473</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>literal</td>\n",
       "      <td>26</td>\n",
       "      <td>68</td>\n",
       "      <td>0.382353</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1140 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              idiom_token    label  num_of_examples  total  idiomaticity_ratio\n",
       "4          IDontheshelfID    idiom                4    134            0.029851\n",
       "5          IDontheshelfID  literal              130    134            0.970149\n",
       "16    IDpeachesandcreamID    idiom                2      5            0.400000\n",
       "17    IDpeachesandcreamID  literal                3      5            0.600000\n",
       "28     IDfireinthebellyID    idiom                1      2            0.500000\n",
       "...                   ...      ...              ...    ...                 ...\n",
       "3461          IDoutcoldID  literal                2     19            0.105263\n",
       "3466      IDgooverboardID    idiom               31     35            0.885714\n",
       "3467      IDgooverboardID  literal                4     35            0.114286\n",
       "3472      IDnightanddayID    idiom               42     68            0.617647\n",
       "3473      IDnightanddayID  literal               26     68            0.382353\n",
       "\n",
       "[1140 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How is the distribution of number of idiom versus literal sentences?\n",
    "df_pie_with_both_labels = df_tok_label_counts[df_tok_label_counts['idiom_token'].isin(both_idiom_n_literal_PIEs)]\n",
    "df_pie_with_both_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bb20d3c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distributions\n",
    "plt.figure(figsize=(16,4))\n",
    "sns.boxplot(x='num_of_examples', y='label', orient=\"h\", palette=\"Set2\", \\\n",
    "            linewidth=1, data=df_pie_with_both_labels)\n",
    "\n",
    "plt.xlim([-2, 130])\n",
    "plt.xticks(np.arange(0, 130, 5))\n",
    "\n",
    "plt.grid()\n",
    "plt.rcParams['grid.alpha'] = 0.5\n",
    "\n",
    "plt.title(\"Distribution of number of examples per MAGPIE PIE, containing both idiomatic and literal usages\")\n",
    "plt.xlabel('Number of examples')\n",
    "plt.ylabel('Label')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a1cdd82",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9e55aceb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Percentage of idiomatic versus literal usage, per each PIE\n",
    "df_vis = df_pie_with_both_labels.copy()\n",
    "df_vis['idiomaticity_ratio'] = df_vis['idiomaticity_ratio'] * 100\n",
    "df_vis = df_vis.sort_values(by=['label', 'idiomaticity_ratio'])\n",
    "num_of_unique = len(df_vis['idiom_token'].unique())\n",
    "\n",
    "# Plot the idiomaticity ratios\n",
    "plt.figure(figsize=(16,8))\n",
    "ax = sns.scatterplot(x='idiom_token', y='idiomaticity_ratio', hue='label', palette=\"Set2\", data=df_vis)\n",
    "plt.ylabel(\"Percentage of Examples (num of each label/total examples)\")\n",
    "y_locs = [y for y in np.linspace(0, 100, 5)]\n",
    "y_ticks = [f\"{int(y)}%\" for y in y_locs]\n",
    "plt.yticks(y_locs, y_ticks)\n",
    "\n",
    "# Reduce num of ticks on x axis and convert to percentages\n",
    "plt.xlabel('Percentage of PIEs that have both idiom/literal usages')\n",
    "tick_locs = [x for x in np.linspace(0, num_of_unique, num=20)]\n",
    "tick_vals = [x/num_of_unique*100 for x in tick_locs]\n",
    "tick_vals = [f\"{int(tv)}%\" for tv in tick_vals]\n",
    "plt.xticks(tick_locs, tick_vals)\n",
    "\n",
    "plt.grid()\n",
    "plt.title(\"Idiomaticity ratio of ambiguous PIEs\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40169a2a",
   "metadata": {},
   "source": [
    "## Output\n",
    "Decided to create 3 groups based on the degree of idiomaticity (or ambiguity):\n",
    "- highly idiomatic\n",
    "- ambiguous\n",
    "- highly literal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73c16670",
   "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>idiom_token</th>\n",
       "      <th>label</th>\n",
       "      <th>num_of_examples</th>\n",
       "      <th>total</th>\n",
       "      <th>idiomaticity_ratio</th>\n",
       "      <th>degree_of_idiomaticity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDontheshelfID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>4</td>\n",
       "      <td>134</td>\n",
       "      <td>0.029851</td>\n",
       "      <td>highly_literal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3471</th>\n",
       "      <td>IDpulloutallthestopsID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3472</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>42</td>\n",
       "      <td>68</td>\n",
       "      <td>0.617647</td>\n",
       "      <td>ambiguous</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3473</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>literal</td>\n",
       "      <td>26</td>\n",
       "      <td>68</td>\n",
       "      <td>0.382353</td>\n",
       "      <td>ambiguous</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3475</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3476 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 idiom_token    label  num_of_examples  total  \\\n",
       "0        IDcometothinkofitID    idiom              129    129   \n",
       "1        IDcometothinkofitID  literal                0    129   \n",
       "2         IDliveandletliveID    idiom               10     10   \n",
       "3         IDliveandletliveID  literal                0     10   \n",
       "4             IDontheshelfID    idiom                4    134   \n",
       "...                      ...      ...              ...    ...   \n",
       "3471  IDpulloutallthestopsID  literal                0     39   \n",
       "3472         IDnightanddayID    idiom               42     68   \n",
       "3473         IDnightanddayID  literal               26     68   \n",
       "3474        IDkickupastinkID    idiom                5      5   \n",
       "3475        IDkickupastinkID  literal                0      5   \n",
       "\n",
       "      idiomaticity_ratio degree_of_idiomaticity  \n",
       "0               1.000000       highly_idiomatic  \n",
       "1               0.000000       highly_idiomatic  \n",
       "2               1.000000       highly_idiomatic  \n",
       "3               0.000000       highly_idiomatic  \n",
       "4               0.029851         highly_literal  \n",
       "...                  ...                    ...  \n",
       "3471            0.000000       highly_idiomatic  \n",
       "3472            0.617647              ambiguous  \n",
       "3473            0.382353              ambiguous  \n",
       "3474            1.000000       highly_idiomatic  \n",
       "3475            0.000000       highly_idiomatic  \n",
       "\n",
       "[3476 rows x 6 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Below this, PIE is highly literal\n",
    "THRESHOLD_MIN = 0.2\n",
    "# Above this, PIE is highly idiomatic\n",
    "THRESHOLD_MAX = 0.8\n",
    "# In-between the two is ambiguous\n",
    "\n",
    "def get_degree_category(idiomaticity_ratio):\n",
    "    if idiomaticity_ratio <= THRESHOLD_MIN:\n",
    "        return 'highly_literal'\n",
    "    elif idiomaticity_ratio >= THRESHOLD_MAX:\n",
    "        return 'highly_idiomatic'\n",
    "    else:\n",
    "        # Between THRESHOLD_MIN and THRESHOLD_MAX\n",
    "        return 'ambiguous'\n",
    "\n",
    "# NOTE: instead of only idiom, we can also take only literal here; BUT you have to change the above thresholds\n",
    "df_only_idiom_labels = df_tok_label_counts[df_tok_label_counts['label'] == LABEL_IDIOM]\n",
    "# Create three category mappings\n",
    "tok_degree_mapping = {}\n",
    "for i,row in df_only_idiom_labels.iterrows():\n",
    "    tok_degree_mapping[row['idiom_token']] = get_degree_category(row['idiomaticity_ratio'])\n",
    "\n",
    "# Add a new column\n",
    "df_tok_label_counts['degree_of_idiomaticity'] = df_tok_label_counts['idiom_token'].map(tok_degree_mapping)\n",
    "df_tok_label_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "032ec3b2",
   "metadata": {},
   "source": [
    "Visualize the distribution of PIEs with different \"Degree of Idiomaticity\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c6ae54da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the distribution of PIEs with different \"Degree of Idiomaticity\" \n",
    "\n",
    "df_vis = df_tok_label_counts[df_tok_label_counts['label'] == LABEL_IDIOM]\n",
    "df_vis = df_vis[['degree_of_idiomaticity', 'total']].reset_index()\n",
    "df_grp = df_vis.groupby('degree_of_idiomaticity', as_index=False).agg({'total': 'sum', 'index': 'count'})\n",
    "total_count_dict = {item['degree_of_idiomaticity']:item['total'] for item in df_grp.to_dict(orient='records')}\n",
    "pie_count_dict = {item['degree_of_idiomaticity']:item['index'] for item in df_grp.to_dict(orient='records')}\n",
    "\n",
    "x_labels = ['highly_idiomatic', 'ambiguous', 'highly_literal']\n",
    "y_vals = [total_count_dict[x] for x in x_labels]\n",
    "y_heads = [pie_count_dict[x] for x in x_labels]\n",
    "y_heads = [f\"{pc} PIEs\" for pc in y_heads]\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "ax= sns.barplot(x=x_labels, y=y_vals, palette=\"Set2\")\n",
    "\n",
    "# Display the actual numbers on the bars\n",
    "for x_tick,(val, head) in enumerate(zip(y_vals, y_heads)):\n",
    "    ax.text(x_tick, val-2000, head, color='white', ha='center')\n",
    "\n",
    "plt.title(f'Number of examples with Degree of Idiomaticity in the MAGPIE corpus')\n",
    "plt.ylabel('Number of examples')\n",
    "\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "874df91a",
   "metadata": {},
   "source": [
    "## Save the PIE groups with different Degree of Idiomaticity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0708704f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved the PIE Segregation file at ../data/PIE_segregation/pie_segregation.csv\n"
     ]
    }
   ],
   "source": [
    "# display(df_tok_label_counts)\n",
    "df_tok_label_counts.to_csv(output_file, index=False)\n",
    "print(f\"Saved the PIE Segregation file at {output_file}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb2a1daf",
   "metadata": {},
   "source": [
    "## 2. Groups based on 'Rarity' of PIEs\n",
    "\n",
    "* PIEs in the **'test dataset'** with a high, medium and low number of examples in the processed \"CC News Dataset\"\n",
    "1. ccnews_frequent\n",
    "2. ccnews_moderately_rare\n",
    "3. ccnews_very_rare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "884781a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pie_counts_from_cc_news_file = '../experiments/exp3B_1/pretrain_data_split/cc_news_pie_counts.json'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "76619360",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded the pre-computed dict file from ../experiments/exp3B_1/pretrain_data_split/cc_news_pie_counts.json\n"
     ]
    }
   ],
   "source": [
    "# # The CC News training file used to pre-train the Masked-LM is used here\n",
    "# cc_training_file = '/home/darshan/work/course/dissertation/idiom_principle_on_magpie_corpus/experiments/exp3B_1/pretrain_data_split/train.txt'\n",
    "\n",
    "# # Count the number of lines containing each PIE\n",
    "# pie_count_dict = defaultdict(int)\n",
    "# with open(cc_training_file) as cc_file:\n",
    "#     for line in cc_file.readlines():\n",
    "#         for mtok in magpie_token_set:\n",
    "#             if mtok in line:\n",
    "#                 pie_count_dict[mtok] += 1\n",
    "# # Dump the file, for future use\n",
    "# with open(pie_counts_from_cc_news_file, 'w') as fout:\n",
    "#     json.dump(pie_count_dict, fout)\n",
    "#     print(f\"Dumped the PIE counts in CCNews corpus at{pie_counts_from_cc_news_file}\")\n",
    "\n",
    "# Load the preprocessed PIE counts of CC news corpus\n",
    "with open(pie_counts_from_cc_news_file, 'r') as fin:\n",
    "    pie_count_dict = json.load(fin)\n",
    "    print(f\"Loaded the pre-computed dict file from {pie_counts_from_cc_news_file}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1ee08e97",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idiom_token</th>\n",
       "      <th>num_of_sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDontherunID</td>\n",
       "      <td>3005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDspotonID</td>\n",
       "      <td>3186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IDinbusinessID</td>\n",
       "      <td>10762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IDtoatID</td>\n",
       "      <td>10460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDforafricaID</td>\n",
       "      <td>2539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>IDdoginthemangerID</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>IDmakeheadortailofID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>IDmuddythewatersID</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>IDcruisingforabruisingID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>IDinthewinkofaneyeID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1265 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   idiom_token  num_of_sentences\n",
       "0                 IDontherunID              3005\n",
       "1                   IDspotonID              3186\n",
       "2               IDinbusinessID             10762\n",
       "3                     IDtoatID             10460\n",
       "4                IDforafricaID              2539\n",
       "...                        ...               ...\n",
       "1260        IDdoginthemangerID                 3\n",
       "1261      IDmakeheadortailofID                 1\n",
       "1262        IDmuddythewatersID                 2\n",
       "1263  IDcruisingforabruisingID                 1\n",
       "1264      IDinthewinkofaneyeID                 1\n",
       "\n",
       "[1265 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row_list = [{'idiom_token':k, 'num_of_sentences':v}for k,v in pie_count_dict.items()]\n",
    "df_ccnews_pie_counts = pd.DataFrame(row_list)\n",
    "df_ccnews_pie_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ef1180e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9c33968b",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>percentile</th>\n",
       "      <th>num_of_sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.5</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.5</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.0</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.0</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>25.0</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>50.0</td>\n",
       "      <td>32.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>75.0</td>\n",
       "      <td>136.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>90.0</td>\n",
       "      <td>480.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>99.0</td>\n",
       "      <td>4173.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   percentile  num_of_sentences\n",
       "0         0.0              1.00\n",
       "1         2.5              1.00\n",
       "2         7.5              2.00\n",
       "3        10.0              2.00\n",
       "4        15.0              3.00\n",
       "5        25.0              7.00\n",
       "6        50.0             32.00\n",
       "7        75.0            136.00\n",
       "8        90.0            480.80\n",
       "9        99.0           4173.44"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of number of examples per PIEs\n",
    "percentiles = [0, 0.025, 0.075, 0.1, 0.15, 0.25, 0.50, 0.75, 0.9, 0.99]\n",
    "df_quantiles = df_ccnews_pie_counts['num_of_sentences'].quantile(percentiles)\n",
    "df_quantiles = pd.DataFrame(df_quantiles)\n",
    "df_quantiles = df_quantiles.reset_index().rename(columns={'index': 'percentile'})\n",
    "df_quantiles['percentile'] = df_quantiles['percentile'] * 100\n",
    "display(df_quantiles)\n",
    "\n",
    "# Visualization of the same\n",
    "plt.figure(figsize=(16,4))\n",
    "sns.boxplot(x='num_of_sentences', data=df_ccnews_pie_counts)\n",
    "\n",
    "# Ignore the outliers\n",
    "plt.xlim([-5, 500])\n",
    "plt.xlabel(\"Number of sentences per PIE\")\n",
    "plt.xticks(list(range(-5, 500, 25)))\n",
    "\n",
    "plt.title(\"Distribution of number of sentences per PIE in CommonCrawl News corpus\")\n",
    "plt.grid()\n",
    "plt.rcParams['grid.alpha'] = 0.3\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd677a38",
   "metadata": {},
   "source": [
    "## Output\n",
    "Categorize the PIEs into 3 groups, based on their frequency of occurance in the CommonCrawl News corpus.\n",
    "\n",
    "**Thresholds:**\n",
    "- 25% of the PIEs have greater than 136 sentences in the CC News corpus\n",
    "- 25% of the PIEs have less than 7 sentences in the CC News corpus\n",
    "\n",
    "Hence, taking the inter-quartile range as moderately-rare examples seems reasonable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "27314ab8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Threshould min:7 and Threshold max:136\n"
     ]
    }
   ],
   "source": [
    "THRESHOLD_MIN = df_quantiles[df_quantiles['percentile'] == 25]['num_of_sentences'].values[0]\n",
    "THRESHOLD_MIN = int(THRESHOLD_MIN)\n",
    "\n",
    "THRESHOLD_MAX = df_quantiles[df_quantiles['percentile'] == 75]['num_of_sentences'].values[0]\n",
    "THRESHOLD_MAX = int(THRESHOLD_MAX)\n",
    "\n",
    "print(f\"Threshould min:{THRESHOLD_MIN} and Threshold max:{THRESHOLD_MAX}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2b9d6820",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'IDontherunID': 'ccnews_frequent',\n",
       " 'IDspotonID': 'ccnews_frequent',\n",
       " 'IDinbusinessID': 'ccnews_frequent',\n",
       " 'IDtoatID': 'ccnews_frequent',\n",
       " 'IDforafricaID': 'ccnews_frequent',\n",
       " 'IDnotcricketID': 'ccnews_moderately_rare',\n",
       " 'IDbehindbarsID': 'ccnews_frequent',\n",
       " 'IDleftandrightID': 'ccnews_frequent',\n",
       " 'IDtakerootID': 'ccnews_frequent',\n",
       " 'IDplanbID': 'ccnews_frequent',\n",
       " 'IDaroundtheclockID': 'ccnews_frequent',\n",
       " 'IDcomecleanID': 'ccnews_frequent',\n",
       " 'IDbearinmindID': 'ccnews_frequent',\n",
       " 'IDfollowsuitID': 'ccnews_frequent',\n",
       " 'IDdowntheroadID': 'ccnews_frequent',\n",
       " 'IDunderthesunID': 'ccnews_frequent',\n",
       " 'IDwaytogoID': 'ccnews_frequent',\n",
       " 'IDbehindthescenesID': 'ccnews_frequent',\n",
       " 'IDgoallthewayID': 'ccnews_frequent',\n",
       " 'IDtietheknotID': 'ccnews_frequent',\n",
       " 'IDgameonID': 'ccnews_frequent',\n",
       " 'IDinthelongrunID': 'ccnews_frequent',\n",
       " 'IDgetthebetterofID': 'ccnews_frequent',\n",
       " 'IDlasthurrahID': 'ccnews_frequent',\n",
       " 'IDhaveafewID': 'ccnews_frequent',\n",
       " 'IDheartofgoldID': 'ccnews_frequent',\n",
       " 'IDonthebackofID': 'ccnews_frequent',\n",
       " 'IDroundtheclockID': 'ccnews_frequent',\n",
       " 'IDpissedoffID': 'ccnews_frequent',\n",
       " 'IDonthereboundID': 'ccnews_frequent',\n",
       " 'IDmakethegradeID': 'ccnews_moderately_rare',\n",
       " 'IDtobootID': 'ccnews_frequent',\n",
       " 'IDlendahandID': 'ccnews_frequent',\n",
       " 'IDoutoftheboxID': 'ccnews_frequent',\n",
       " 'IDdownthetubesID': 'ccnews_moderately_rare',\n",
       " 'IDfromscratchID': 'ccnews_frequent',\n",
       " 'IDallalongID': 'ccnews_frequent',\n",
       " 'IDgoodsamaritanID': 'ccnews_frequent',\n",
       " 'IDinthelongtermID': 'ccnews_frequent',\n",
       " 'IDfacetofaceID': 'ccnews_frequent',\n",
       " 'IDlivewireID': 'ccnews_moderately_rare',\n",
       " 'IDonpaperID': 'ccnews_frequent',\n",
       " 'IDattheendofthedayID': 'ccnews_frequent',\n",
       " 'IDtalkthetalkID': 'ccnews_moderately_rare',\n",
       " 'IDonarollID': 'ccnews_frequent',\n",
       " 'IDseethelightofdayID': 'ccnews_frequent',\n",
       " 'IDgreenlightID': 'ccnews_frequent',\n",
       " 'IDintheoffingID': 'ccnews_frequent',\n",
       " 'IDtotheletterID': 'ccnews_frequent',\n",
       " 'IDoutofsightID': 'ccnews_frequent',\n",
       " 'IDkeepyourheadID': 'ccnews_moderately_rare',\n",
       " 'IDintheblackID': 'ccnews_frequent',\n",
       " 'IDonboardID': 'ccnews_frequent',\n",
       " 'IDstrikeachordID': 'ccnews_moderately_rare',\n",
       " 'IDtothetuneofID': 'ccnews_frequent',\n",
       " 'IDagainstthegrainID': 'ccnews_frequent',\n",
       " 'IDinthesaddleID': 'ccnews_frequent',\n",
       " 'IDbreakevenID': 'ccnews_frequent',\n",
       " 'IDonthemoneyID': 'ccnews_frequent',\n",
       " 'IDoniceID': 'ccnews_frequent',\n",
       " 'IDtopdollarID': 'ccnews_frequent',\n",
       " 'IDmakethecutID': 'ccnews_frequent',\n",
       " 'IDatseaID': 'ccnews_frequent',\n",
       " 'IDweakatthekneesID': 'ccnews_moderately_rare',\n",
       " 'IDhighandlowID': 'ccnews_frequent',\n",
       " 'IDaheadofthecurveID': 'ccnews_frequent',\n",
       " 'IDrhymeorreasonID': 'ccnews_moderately_rare',\n",
       " 'IDgetstuckinID': 'ccnews_frequent',\n",
       " 'IDgetlostID': 'ccnews_frequent',\n",
       " 'IDuptospeedID': 'ccnews_frequent',\n",
       " 'IDintheworksID': 'ccnews_frequent',\n",
       " 'IDinlightofID': 'ccnews_frequent',\n",
       " 'IDinthepipelineID': 'ccnews_frequent',\n",
       " 'IDreinventthewheelID': 'ccnews_frequent',\n",
       " 'IDrisetotheoccasionID': 'ccnews_frequent',\n",
       " 'IDhaveitbothwaysID': 'ccnews_moderately_rare',\n",
       " 'IDgetahandleonID': 'ccnews_frequent',\n",
       " 'IDhitandmissID': 'ccnews_moderately_rare',\n",
       " 'IDcrystalclearID': 'ccnews_frequent',\n",
       " 'IDlooktheotherwayID': 'ccnews_frequent',\n",
       " 'IDandthensomeID': 'ccnews_frequent',\n",
       " 'IDmakeorbreakID': 'ccnews_frequent',\n",
       " 'IDonthemendID': 'ccnews_frequent',\n",
       " 'IDmakeendsmeetID': 'ccnews_frequent',\n",
       " 'IDfewandfarbetweenID': 'ccnews_frequent',\n",
       " 'IDforthetimebeingID': 'ccnews_frequent',\n",
       " 'IDtothemaxID': 'ccnews_frequent',\n",
       " 'IDatthedropofahatID': 'ccnews_moderately_rare',\n",
       " 'IDthinktwiceID': 'ccnews_frequent',\n",
       " 'IDoutofthinairID': 'ccnews_moderately_rare',\n",
       " 'IDgopublicID': 'ccnews_frequent',\n",
       " 'IDintheredID': 'ccnews_frequent',\n",
       " 'IDwithaviewtoID': 'ccnews_frequent',\n",
       " 'IDmeatandpotatoesID': 'ccnews_moderately_rare',\n",
       " 'IDtotheboneID': 'ccnews_frequent',\n",
       " 'IDpeckingorderID': 'ccnews_frequent',\n",
       " 'IDunderfireID': 'ccnews_frequent',\n",
       " 'IDkeepyoureyespeeledID': 'ccnews_frequent',\n",
       " 'IDinthecanID': 'ccnews_frequent',\n",
       " 'IDpulltheplugID': 'ccnews_frequent',\n",
       " 'IDindutchID': 'ccnews_frequent',\n",
       " 'IDspringtomindID': 'ccnews_moderately_rare',\n",
       " 'IDonthenoseID': 'ccnews_frequent',\n",
       " 'IDfirstoffID': 'ccnews_frequent',\n",
       " 'IDwalkthetalkID': 'ccnews_moderately_rare',\n",
       " 'IDclosetohomeID': 'ccnews_frequent',\n",
       " 'IDoffthehookID': 'ccnews_frequent',\n",
       " 'IDheartandsoulID': 'ccnews_frequent',\n",
       " 'IDdoomandgloomID': 'ccnews_frequent',\n",
       " 'IDkeepontruckingID': 'ccnews_moderately_rare',\n",
       " 'IDdotherightthingID': 'ccnews_frequent',\n",
       " 'IDfullspeedaheadID': 'ccnews_frequent',\n",
       " 'IDdigdeepID': 'ccnews_frequent',\n",
       " 'IDinbedwithID': 'ccnews_frequent',\n",
       " 'IDontherocksID': 'ccnews_frequent',\n",
       " 'IDallovertheplaceID': 'ccnews_frequent',\n",
       " 'IDfitthebillID': 'ccnews_frequent',\n",
       " 'IDseeeyetoeyeID': 'ccnews_moderately_rare',\n",
       " 'IDinfullswingID': 'ccnews_frequent',\n",
       " 'IDmakeasplashID': 'ccnews_frequent',\n",
       " 'IDplaygamesID': 'ccnews_frequent',\n",
       " 'IDonthesamepageID': 'ccnews_frequent',\n",
       " 'IDunderthemicroscopeID': 'ccnews_frequent',\n",
       " 'IDfishintroubledwatersID': 'ccnews_moderately_rare',\n",
       " 'IDplainjaneID': 'ccnews_moderately_rare',\n",
       " 'IDfallfromgraceID': 'ccnews_frequent',\n",
       " 'IDroughedgesID': 'ccnews_moderately_rare',\n",
       " 'IDmeanbusinessID': 'ccnews_frequent',\n",
       " 'IDintherunningID': 'ccnews_frequent',\n",
       " 'IDtakeabathID': 'ccnews_moderately_rare',\n",
       " 'IDonthecardsID': 'ccnews_frequent',\n",
       " 'IDrunriotID': 'ccnews_frequent',\n",
       " 'IDoffthecuffID': 'ccnews_moderately_rare',\n",
       " 'IDnotwowaysaboutitID': 'ccnews_moderately_rare',\n",
       " 'IDbyandlargeID': 'ccnews_frequent',\n",
       " 'IDinnouncertaintermsID': 'ccnews_frequent',\n",
       " 'IDonceinawhileID': 'ccnews_frequent',\n",
       " 'IDoffthewallID': 'ccnews_frequent',\n",
       " 'IDfirstupID': 'ccnews_frequent',\n",
       " 'IDontenterhooksID': 'ccnews_moderately_rare',\n",
       " 'IDatsixesandsevensID': 'ccnews_moderately_rare',\n",
       " 'IDwaterunderthebridgeID': 'ccnews_moderately_rare',\n",
       " 'IDupforgrabsID': 'ccnews_frequent',\n",
       " 'IDsteponitID': 'ccnews_moderately_rare',\n",
       " 'IDfastandfuriousID': 'ccnews_frequent',\n",
       " 'IDbyalongshotID': 'ccnews_moderately_rare',\n",
       " 'IDonedgeID': 'ccnews_frequent',\n",
       " 'IDturnheadsID': 'ccnews_frequent',\n",
       " 'IDonthebuttonID': 'ccnews_frequent',\n",
       " 'IDgettothebottomofID': 'ccnews_frequent',\n",
       " 'IDuptoparID': 'ccnews_frequent',\n",
       " 'IDbyhookorbycrookID': 'ccnews_moderately_rare',\n",
       " 'IDsavedbythebellID': 'ccnews_frequent',\n",
       " 'IDintherawID': 'ccnews_moderately_rare',\n",
       " 'IDdogeatdogID': 'ccnews_moderately_rare',\n",
       " 'IDfallshortID': 'ccnews_frequent',\n",
       " 'IDundertheinfluenceID': 'ccnews_frequent',\n",
       " 'IDblackandblueID': 'ccnews_frequent',\n",
       " 'IDasgoodasnewID': 'ccnews_moderately_rare',\n",
       " 'IDeasiersaidthandoneID': 'ccnews_frequent',\n",
       " 'IDinthebagID': 'ccnews_frequent',\n",
       " 'IDwalkfreeID': 'ccnews_frequent',\n",
       " 'IDonthegameID': 'ccnews_frequent',\n",
       " 'IDcometothinkofitID': 'ccnews_moderately_rare',\n",
       " 'IDkeepupappearancesID': 'ccnews_moderately_rare',\n",
       " 'IDinthefleshID': 'ccnews_frequent',\n",
       " 'IDhitthegroundrunningID': 'ccnews_frequent',\n",
       " 'IDonthefaceofitID': 'ccnews_moderately_rare',\n",
       " 'IDoverthetopID': 'ccnews_frequent',\n",
       " 'IDbyheartID': 'ccnews_frequent',\n",
       " 'IDoutoforderID': 'ccnews_frequent',\n",
       " 'IDcutthemustardID': 'ccnews_frequent',\n",
       " 'IDseeredID': 'ccnews_frequent',\n",
       " 'IDonthelevelID': 'ccnews_frequent',\n",
       " 'IDthegrassisalwaysgreenerID': 'ccnews_moderately_rare',\n",
       " 'IDfairgameID': 'ccnews_frequent',\n",
       " 'IDonthebounceID': 'ccnews_moderately_rare',\n",
       " 'IDoutofthepictureID': 'ccnews_frequent',\n",
       " 'IDfreereinID': 'ccnews_frequent',\n",
       " 'IDwithavengeanceID': 'ccnews_frequent',\n",
       " 'IDlikeclockworkID': 'ccnews_frequent',\n",
       " 'IDonthehouseID': 'ccnews_frequent',\n",
       " 'IDnoworneverID': 'ccnews_frequent',\n",
       " 'IDtimewilltellID': 'ccnews_frequent',\n",
       " 'IDgoitaloneID': 'ccnews_frequent',\n",
       " 'IDcutcornersID': 'ccnews_frequent',\n",
       " 'IDintheclubID': 'ccnews_frequent',\n",
       " 'IDnocandoID': 'ccnews_moderately_rare',\n",
       " 'IDslipofthetongueID': 'ccnews_moderately_rare',\n",
       " 'IDsteerclearofID': 'ccnews_frequent',\n",
       " 'IDkeepthepeaceID': 'ccnews_frequent',\n",
       " 'IDholdthelineID': 'ccnews_frequent',\n",
       " 'IDkeepyourfingerscrossedID': 'ccnews_moderately_rare',\n",
       " 'IDoneofthosethingsID': 'ccnews_frequent',\n",
       " 'IDinthisdayandageID': 'ccnews_frequent',\n",
       " 'IDbacktosquareoneID': 'ccnews_frequent',\n",
       " 'IDgetamoveonID': 'ccnews_moderately_rare',\n",
       " 'IDfeelthepinchID': 'ccnews_moderately_rare',\n",
       " 'IDliveandletliveID': 'ccnews_moderately_rare',\n",
       " 'IDintandemID': 'ccnews_frequent',\n",
       " 'IDrunthegamutID': 'ccnews_moderately_rare',\n",
       " 'IDsavethedayID': 'ccnews_frequent',\n",
       " 'IDholdwaterID': 'ccnews_moderately_rare',\n",
       " 'IDinstitchesID': 'ccnews_frequent',\n",
       " 'IDonandoffID': 'ccnews_moderately_rare',\n",
       " 'IDgoodofficesID': 'ccnews_moderately_rare',\n",
       " 'IDpassmusterID': 'ccnews_moderately_rare',\n",
       " 'IDcometotermswithID': 'ccnews_frequent',\n",
       " 'IDarmedtotheteethID': 'ccnews_moderately_rare',\n",
       " 'IDstateoftheartID': 'ccnews_frequent',\n",
       " 'IDthickandfastID': 'ccnews_frequent',\n",
       " 'IDontheropesID': 'ccnews_frequent',\n",
       " 'IDwhitehatID': 'ccnews_frequent',\n",
       " 'IDtakethefloorID': 'ccnews_moderately_rare',\n",
       " 'IDplayballID': 'ccnews_frequent',\n",
       " 'IDmakehayID': 'ccnews_moderately_rare',\n",
       " 'IDjumponthebandwagonID': 'ccnews_moderately_rare',\n",
       " 'IDcomeuptrumpsID': 'ccnews_moderately_rare',\n",
       " 'IDtakeabackseatID': 'ccnews_frequent',\n",
       " 'IDlargerthanlifeID': 'ccnews_frequent',\n",
       " 'IDhitthemarkID': 'ccnews_frequent',\n",
       " 'IDlandofnodID': 'ccnews_moderately_rare',\n",
       " 'IDcatchfireID': 'ccnews_frequent',\n",
       " 'IDhavewordsID': 'ccnews_moderately_rare',\n",
       " 'IDheadoverheelsID': 'ccnews_frequent',\n",
       " 'IDrankandfileID': 'ccnews_frequent',\n",
       " 'IDoutofpocketID': 'ccnews_frequent',\n",
       " 'IDwordofmouthID': 'ccnews_frequent',\n",
       " 'IDtakestockID': 'ccnews_frequent',\n",
       " 'IDinblackandwhiteID': 'ccnews_frequent',\n",
       " 'IDintheholeID': 'ccnews_frequent',\n",
       " 'IDmakeyourbloodboilID': 'ccnews_very_rare',\n",
       " 'IDhithomeID': 'ccnews_frequent',\n",
       " 'IDkeepalowprofileID': 'ccnews_frequent',\n",
       " 'IDworkwondersID': 'ccnews_moderately_rare',\n",
       " 'IDbarnoneID': 'ccnews_moderately_rare',\n",
       " 'IDnewbloodID': 'ccnews_frequent',\n",
       " 'IDinhotwaterID': 'ccnews_frequent',\n",
       " 'IDwithopenarmsID': 'ccnews_frequent',\n",
       " 'IDwithoutfailID': 'ccnews_frequent',\n",
       " 'IDsonganddanceID': 'ccnews_frequent',\n",
       " 'IDhittheroadID': 'ccnews_frequent',\n",
       " 'IDkickupafussID': 'ccnews_very_rare',\n",
       " 'IDfarandawayID': 'ccnews_frequent',\n",
       " 'IDmakewavesID': 'ccnews_frequent',\n",
       " 'IDontheshelfID': 'ccnews_frequent',\n",
       " 'IDopenthefloodgatesID': 'ccnews_moderately_rare',\n",
       " 'IDfacethemusicID': 'ccnews_frequent',\n",
       " 'IDlameduckID': 'ccnews_frequent',\n",
       " 'IDrisefromtheashesID': 'ccnews_moderately_rare',\n",
       " 'IDfallbythewaysideID': 'ccnews_moderately_rare',\n",
       " 'IDbeyondthepaleID': 'ccnews_moderately_rare',\n",
       " 'IDoffandonID': 'ccnews_frequent',\n",
       " 'IDrockbottomID': 'ccnews_frequent',\n",
       " 'IDbangforthebuckID': 'ccnews_moderately_rare',\n",
       " 'IDgetoffthegroundID': 'ccnews_frequent',\n",
       " 'IDcatchacoldID': 'ccnews_moderately_rare',\n",
       " 'IDgohandinhandID': 'ccnews_frequent',\n",
       " 'IDlayafingeronID': 'ccnews_very_rare',\n",
       " 'IDbythebookID': 'ccnews_frequent',\n",
       " 'IDonasilverplatterID': 'ccnews_moderately_rare',\n",
       " 'IDintheballparkID': 'ccnews_frequent',\n",
       " 'IDoutcoldID': 'ccnews_moderately_rare',\n",
       " 'IDnamenamesID': 'ccnews_moderately_rare',\n",
       " 'IDgettogripswithID': 'ccnews_frequent',\n",
       " 'IDgostraightID': 'ccnews_frequent',\n",
       " 'IDonthelamID': 'ccnews_moderately_rare',\n",
       " 'IDcloseshaveID': 'ccnews_moderately_rare',\n",
       " 'IDoutofthequestionID': 'ccnews_frequent',\n",
       " 'IDgetthenodID': 'ccnews_frequent',\n",
       " 'IDoutofwhackID': 'ccnews_frequent',\n",
       " 'IDoverthemoonID': 'ccnews_frequent',\n",
       " 'IDsetyoursightsonID': 'ccnews_moderately_rare',\n",
       " 'IDbythebyID': 'ccnews_moderately_rare',\n",
       " 'IDforasongID': 'ccnews_frequent',\n",
       " 'IDdeadinthewaterID': 'ccnews_moderately_rare',\n",
       " 'IDpickupthepiecesID': 'ccnews_frequent',\n",
       " 'IDbehindthecurveID': 'ccnews_frequent',\n",
       " 'IDhavebeenaroundID': 'ccnews_frequent',\n",
       " 'IDuptosnuffID': 'ccnews_moderately_rare',\n",
       " 'IDpoundthepavementID': 'ccnews_moderately_rare',\n",
       " 'IDinthesamebreathID': 'ccnews_frequent',\n",
       " 'IDlonginthetoothID': 'ccnews_moderately_rare',\n",
       " 'IDofftheshelfID': 'ccnews_moderately_rare',\n",
       " 'IDputthekiboshonID': 'ccnews_moderately_rare',\n",
       " 'IDgotheextramileID': 'ccnews_frequent',\n",
       " 'IDupintheairID': 'ccnews_frequent',\n",
       " 'IDnothingdoingID': 'ccnews_frequent',\n",
       " 'IDacrosstheboardID': 'ccnews_frequent',\n",
       " 'IDhandsdownID': 'ccnews_frequent',\n",
       " 'IDtrueblueID': 'ccnews_frequent',\n",
       " 'IDtreadwaterID': 'ccnews_moderately_rare',\n",
       " 'IDridetherailsID': 'ccnews_moderately_rare',\n",
       " 'IDbegthequestionID': 'ccnews_moderately_rare',\n",
       " 'IDbuytimeID': 'ccnews_frequent',\n",
       " 'IDwritlargeID': 'ccnews_moderately_rare',\n",
       " 'IDatloggerheadsID': 'ccnews_frequent',\n",
       " 'IDtakeahikeID': 'ccnews_moderately_rare',\n",
       " 'IDfromthewordgoID': 'ccnews_moderately_rare',\n",
       " 'IDtriedandtrueID': 'ccnews_frequent',\n",
       " 'IDrainorshineID': 'ccnews_frequent',\n",
       " 'IDweatherthestormID': 'ccnews_frequent',\n",
       " 'IDatthecoalfaceID': 'ccnews_moderately_rare',\n",
       " 'IDfairandsquareID': 'ccnews_moderately_rare',\n",
       " 'IDsickandtiredID': 'ccnews_frequent',\n",
       " 'IDcloseranksID': 'ccnews_moderately_rare',\n",
       " 'IDouttolunchID': 'ccnews_frequent',\n",
       " 'IDunderthetableID': 'ccnews_moderately_rare',\n",
       " 'IDallbetsareoffID': 'ccnews_moderately_rare',\n",
       " 'IDtouchbaseID': 'ccnews_frequent',\n",
       " 'IDfallinlineID': 'ccnews_frequent',\n",
       " 'IDinbroaddaylightID': 'ccnews_frequent',\n",
       " 'IDtruetoformID': 'ccnews_moderately_rare',\n",
       " 'IDstaythecourseID': 'ccnews_frequent',\n",
       " 'IDmanofgodID': 'ccnews_frequent',\n",
       " 'IDliveitupID': 'ccnews_moderately_rare',\n",
       " 'IDsittingduckID': 'ccnews_moderately_rare',\n",
       " 'IDwatchyourbackID': 'ccnews_moderately_rare',\n",
       " 'IDasaruleID': 'ccnews_frequent',\n",
       " 'IDsmokeandmirrorsID': 'ccnews_moderately_rare',\n",
       " 'IDatyourfingertipsID': 'ccnews_frequent',\n",
       " 'IDwalktheplankID': 'ccnews_moderately_rare',\n",
       " 'IDforgoodmeasureID': 'ccnews_frequent',\n",
       " 'IDbelowthebeltID': 'ccnews_moderately_rare',\n",
       " 'IDcapinhandID': 'ccnews_moderately_rare',\n",
       " 'IDmomentoftruthID': 'ccnews_frequent',\n",
       " 'IDjumpthegunID': 'ccnews_moderately_rare',\n",
       " 'IDcallitquitsID': 'ccnews_frequent',\n",
       " 'IDoutoftherunningID': 'ccnews_moderately_rare',\n",
       " 'IDonthesideoftheangelsID': 'ccnews_moderately_rare',\n",
       " 'IDkeeptabsonID': 'ccnews_frequent',\n",
       " 'IDhotairID': 'ccnews_frequent',\n",
       " 'IDputafootwrongID': 'ccnews_moderately_rare',\n",
       " 'IDreadbetweenthelinesID': 'ccnews_moderately_rare',\n",
       " 'IDputadamperonID': 'ccnews_frequent',\n",
       " 'IDneversaydieID': 'ccnews_moderately_rare',\n",
       " 'IDfromatozID': 'ccnews_frequent',\n",
       " 'IDincoldbloodID': 'ccnews_frequent',\n",
       " 'IDstandthetestoftimeID': 'ccnews_frequent',\n",
       " 'IDkeepalidonID': 'ccnews_frequent',\n",
       " 'IDspeakvolumesID': 'ccnews_moderately_rare',\n",
       " 'IDrougharoundtheedgesID': 'ccnews_moderately_rare',\n",
       " 'IDwithbatedbreathID': 'ccnews_moderately_rare',\n",
       " 'IDlockhornsID': 'ccnews_frequent',\n",
       " 'IDcallitadayID': 'ccnews_moderately_rare',\n",
       " 'IDcleanhouseID': 'ccnews_frequent',\n",
       " 'IDgetawaywithmurderID': 'ccnews_frequent',\n",
       " 'IDonthehopID': 'ccnews_frequent',\n",
       " 'IDclosecallID': 'ccnews_frequent',\n",
       " 'IDgiveuptheghostID': 'ccnews_moderately_rare',\n",
       " 'IDonthesquareID': 'ccnews_frequent',\n",
       " 'IDhaveacowID': 'ccnews_moderately_rare',\n",
       " 'IDdowntothewireID': 'ccnews_frequent',\n",
       " 'IDleavenostoneunturnedID': 'ccnews_frequent',\n",
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       " 'IDgiveitawhirlID': 'ccnews_moderately_rare',\n",
       " 'IDgodutchID': 'ccnews_moderately_rare',\n",
       " 'IDcollectdustID': 'ccnews_moderately_rare',\n",
       " 'IDunderlockandkeyID': 'ccnews_moderately_rare',\n",
       " 'IDpresenceofmindID': 'ccnews_moderately_rare',\n",
       " 'IDthrowgoodmoneyafterbadID': 'ccnews_very_rare',\n",
       " 'IDgothroughthemotionsID': 'ccnews_moderately_rare',\n",
       " 'IDputpaidtoID': 'ccnews_moderately_rare',\n",
       " 'IDblowoffsteamID': 'ccnews_moderately_rare',\n",
       " 'IDontheupandupID': 'ccnews_moderately_rare',\n",
       " 'IDshortshriftID': 'ccnews_moderately_rare',\n",
       " 'IDgowithoutsayingID': 'ccnews_moderately_rare',\n",
       " 'IDasthecrowfliesID': 'ccnews_moderately_rare',\n",
       " 'IDtakenoprisonersID': 'ccnews_moderately_rare',\n",
       " 'IDfoamatthemouthID': 'ccnews_moderately_rare',\n",
       " 'IDonthehoofID': 'ccnews_moderately_rare',\n",
       " 'IDmakeakillingID': 'ccnews_moderately_rare',\n",
       " 'IDmybadID': 'ccnews_moderately_rare',\n",
       " 'IDboysinblueID': 'ccnews_moderately_rare',\n",
       " 'IDbeltandbracesID': 'ccnews_very_rare',\n",
       " 'IDdeadwoodID': 'ccnews_moderately_rare',\n",
       " 'IDgothewholehogID': 'ccnews_moderately_rare',\n",
       " 'IDonthestumpID': 'ccnews_moderately_rare',\n",
       " 'IDfitlikeagloveID': 'ccnews_moderately_rare',\n",
       " 'IDbreakcoverID': 'ccnews_moderately_rare',\n",
       " 'IDtakeitonthechinID': 'ccnews_moderately_rare',\n",
       " 'IDholdyourhorsesID': 'ccnews_moderately_rare',\n",
       " 'IDcleanasawhistleID': 'ccnews_very_rare',\n",
       " 'IDtobeatthebandID': 'ccnews_very_rare',\n",
       " 'IDgototownID': 'ccnews_moderately_rare',\n",
       " 'IDonthewarpathID': 'ccnews_moderately_rare',\n",
       " 'IDsleightofhandID': 'ccnews_moderately_rare',\n",
       " 'IDthrowcautiontothewindID': 'ccnews_moderately_rare',\n",
       " 'IDhangfireID': 'ccnews_very_rare',\n",
       " 'IDoutoftheloopID': 'ccnews_moderately_rare',\n",
       " 'IDmisstheboatID': 'ccnews_moderately_rare',\n",
       " 'IDrisethroughtheranksID': 'ccnews_moderately_rare',\n",
       " 'IDrunoutofsteamID': 'ccnews_moderately_rare',\n",
       " 'IDstrikeitrichID': 'ccnews_moderately_rare',\n",
       " 'IDoncloudnineID': 'ccnews_moderately_rare',\n",
       " 'IDcomehellorhighwaterID': 'ccnews_moderately_rare',\n",
       " 'IDnotimelikethepresentID': 'ccnews_moderately_rare',\n",
       " 'IDdrawablankID': 'ccnews_moderately_rare',\n",
       " 'IDquietasamouseID': 'ccnews_very_rare',\n",
       " 'IDchapterandverseID': 'ccnews_moderately_rare',\n",
       " 'IDcheekbyjowlID': 'ccnews_moderately_rare',\n",
       " 'IDseteyesonID': 'ccnews_moderately_rare',\n",
       " 'IDflashinthepanID': 'ccnews_moderately_rare',\n",
       " 'IDpureandsimpleID': 'ccnews_moderately_rare',\n",
       " 'IDneartheknuckleID': 'ccnews_very_rare',\n",
       " 'IDpullafaceID': 'ccnews_very_rare',\n",
       " 'IDliveinsinID': 'ccnews_moderately_rare',\n",
       " 'IDtakethecakeID': 'ccnews_moderately_rare',\n",
       " 'IDsticktoyourgunsID': 'ccnews_moderately_rare',\n",
       " 'IDnothingtowritehomeaboutID': 'ccnews_moderately_rare',\n",
       " 'IDrollwiththepunchesID': 'ccnews_moderately_rare',\n",
       " 'IDeathumblepieID': 'ccnews_very_rare',\n",
       " 'IDlayaneggID': 'ccnews_moderately_rare',\n",
       " 'IDplayfastandlooseID': 'ccnews_moderately_rare',\n",
       " 'IDfallondeafearsID': 'ccnews_moderately_rare',\n",
       " 'IDontheballID': 'ccnews_moderately_rare',\n",
       " 'IDholdyourownID': 'ccnews_moderately_rare',\n",
       " 'IDmoveheavenandearthID': 'ccnews_moderately_rare',\n",
       " 'IDcutfromthesameclothID': 'ccnews_moderately_rare',\n",
       " 'IDgetthepictureID': 'ccnews_moderately_rare',\n",
       " 'IDalloverthemapID': 'ccnews_moderately_rare',\n",
       " 'IDonthecarpetID': 'ccnews_moderately_rare',\n",
       " 'IDgetwindofID': 'ccnews_moderately_rare',\n",
       " 'IDknockitoffID': 'ccnews_moderately_rare',\n",
       " 'IDinthesoupID': 'ccnews_moderately_rare',\n",
       " 'IDgrinandbearitID': 'ccnews_moderately_rare',\n",
       " 'IDdressedtokillID': 'ccnews_moderately_rare',\n",
       " 'IDinarutID': 'ccnews_moderately_rare',\n",
       " 'IDwithawillID': 'ccnews_moderately_rare',\n",
       " 'IDkickupastinkID': 'ccnews_very_rare',\n",
       " 'IDshrinkingvioletID': 'ccnews_moderately_rare',\n",
       " 'IDgoroundincirclesID': 'ccnews_moderately_rare',\n",
       " 'IDcrossmyheartID': 'ccnews_very_rare',\n",
       " 'IDgoballisticID': 'ccnews_moderately_rare',\n",
       " 'IDwalkoneggshellsID': 'ccnews_very_rare',\n",
       " 'IDsweetnothingsID': 'ccnews_moderately_rare',\n",
       " 'IDmakeacleanbreakID': 'ccnews_moderately_rare',\n",
       " 'IDblazeatrailID': 'ccnews_moderately_rare',\n",
       " 'IDreachforthestarsID': 'ccnews_moderately_rare',\n",
       " 'IDputthecartbeforethehorseID': 'ccnews_moderately_rare',\n",
       " 'IDbringthehousedownID': 'ccnews_moderately_rare',\n",
       " 'IDhotunderthecollarID': 'ccnews_moderately_rare',\n",
       " 'IDtheplotthickensID': 'ccnews_moderately_rare',\n",
       " 'IDcomeoutinthewashID': 'ccnews_moderately_rare',\n",
       " 'IDshootthemessengerID': 'ccnews_moderately_rare',\n",
       " 'IDstickoutlikeasorethumbID': 'ccnews_moderately_rare',\n",
       " 'IDpaythroughthenoseID': 'ccnews_moderately_rare',\n",
       " 'IDrunamileID': 'ccnews_moderately_rare',\n",
       " 'IDeverythingbutthekitchensinkID': 'ccnews_moderately_rare',\n",
       " 'IDfromragstorichesID': 'ccnews_moderately_rare',\n",
       " 'IDallhellbrokelooseID': 'ccnews_moderately_rare',\n",
       " 'IDtaketothehillsID': 'ccnews_very_rare',\n",
       " 'IDoutofkilterID': 'ccnews_moderately_rare',\n",
       " 'IDwhenthechipsaredownID': 'ccnews_moderately_rare',\n",
       " 'IDjoinedatthehipID': 'ccnews_moderately_rare',\n",
       " 'IDunderthewireID': 'ccnews_moderately_rare',\n",
       " 'IDuptheriverID': 'ccnews_moderately_rare',\n",
       " 'IDsmallprintID': 'ccnews_moderately_rare',\n",
       " 'IDgetyourskatesonID': 'ccnews_moderately_rare',\n",
       " 'IDmakeamealofID': 'ccnews_moderately_rare',\n",
       " 'IDnotonyourlifeID': 'ccnews_very_rare',\n",
       " 'IDtalkturkeyID': 'ccnews_moderately_rare',\n",
       " 'IDtouchanerveID': 'ccnews_very_rare',\n",
       " 'IDcrossswordsID': 'ccnews_moderately_rare',\n",
       " 'IDruletheroostID': 'ccnews_moderately_rare',\n",
       " 'IDonegoodturndeservesanotherID': 'ccnews_moderately_rare',\n",
       " 'IDkeepastraightfaceID': 'ccnews_moderately_rare',\n",
       " 'IDbloodandthunderID': 'ccnews_very_rare',\n",
       " 'IDuptohereID': 'ccnews_moderately_rare',\n",
       " 'IDturntheothercheekID': 'ccnews_moderately_rare',\n",
       " 'IDaheadofthegameID': 'ccnews_moderately_rare',\n",
       " 'IDfirstamongequalsID': 'ccnews_moderately_rare',\n",
       " 'IDpaperoverthecracksID': 'ccnews_moderately_rare',\n",
       " 'IDallthingsbeingequalID': 'ccnews_moderately_rare',\n",
       " 'IDtakelibertiesID': 'ccnews_moderately_rare',\n",
       " 'IDdomeafavourID': 'ccnews_moderately_rare',\n",
       " 'IDtellitlikeitisID': 'ccnews_moderately_rare',\n",
       " 'IDinyourdreamsID': 'ccnews_moderately_rare',\n",
       " 'IDseparatethewheatfromthechaffID': 'ccnews_moderately_rare',\n",
       " 'IDgetyourfeetwetID': 'ccnews_moderately_rare',\n",
       " 'IDgiveheadID': 'ccnews_moderately_rare',\n",
       " 'IDbetterthedevilyouknowID': 'ccnews_moderately_rare',\n",
       " 'IDliftafingerID': 'ccnews_moderately_rare',\n",
       " 'IDletsleepingdogslieID': 'ccnews_moderately_rare',\n",
       " 'IDhaveamountaintoclimbID': 'ccnews_moderately_rare',\n",
       " 'IDgotogroundID': 'ccnews_moderately_rare',\n",
       " 'IDonefortheroadID': 'ccnews_moderately_rare',\n",
       " 'IDknownoboundsID': 'ccnews_moderately_rare',\n",
       " 'IDoutandaboutID': 'ccnews_moderately_rare',\n",
       " 'IDdyedinthewoolID': 'ccnews_very_rare',\n",
       " 'IDrunthegauntletID': 'ccnews_moderately_rare',\n",
       " 'IDgotothematID': 'ccnews_moderately_rare',\n",
       " 'IDbornandbredID': 'ccnews_frequent',\n",
       " 'IDsickasadogID': 'ccnews_very_rare',\n",
       " 'IDflyinthefaceofID': 'ccnews_moderately_rare',\n",
       " 'IDsplitthedifferenceID': 'ccnews_moderately_rare',\n",
       " 'IDsleeproughID': 'ccnews_moderately_rare',\n",
       " 'IDwakeupandsmellthecoffeeID': 'ccnews_moderately_rare',\n",
       " 'IDtakethefallID': 'ccnews_moderately_rare',\n",
       " 'IDquickasaflashID': 'ccnews_very_rare',\n",
       " 'IDtoocleverbyhalfID': 'ccnews_very_rare',\n",
       " 'IDpleasedaspunchID': 'ccnews_moderately_rare',\n",
       " 'IDoverthecounterID': 'ccnews_moderately_rare',\n",
       " 'IDaboveparID': 'ccnews_moderately_rare',\n",
       " 'IDforthehellofitID': 'ccnews_moderately_rare',\n",
       " 'IDgoforbrokeID': 'ccnews_moderately_rare',\n",
       " 'IDdrawalineinthesandID': 'ccnews_moderately_rare',\n",
       " 'IDkissoflifeID': 'ccnews_moderately_rare',\n",
       " 'IDbesideyourselfID': 'ccnews_very_rare',\n",
       " 'IDfollowyournoseID': 'ccnews_very_rare',\n",
       " 'IDbeattheclockID': 'ccnews_moderately_rare',\n",
       " 'IDsaycheeseID': 'ccnews_moderately_rare',\n",
       " 'IDhittheskidsID': 'ccnews_moderately_rare',\n",
       " 'IDanoldflameID': 'ccnews_moderately_rare',\n",
       " 'IDhaveaneyeforID': 'ccnews_moderately_rare',\n",
       " 'IDalongaboutID': 'ccnews_moderately_rare',\n",
       " 'IDgetstuckintoID': 'ccnews_moderately_rare',\n",
       " 'IDnotgiveafigID': 'ccnews_moderately_rare',\n",
       " 'IDthinktheworldofID': 'ccnews_moderately_rare',\n",
       " 'IDallwetID': 'ccnews_moderately_rare',\n",
       " 'IDeconomicalwiththetruthID': 'ccnews_moderately_rare',\n",
       " 'IDsixfeetunderID': 'ccnews_moderately_rare',\n",
       " 'IDupsettheapplecartID': 'ccnews_moderately_rare',\n",
       " 'IDoutofthewoodsID': 'ccnews_moderately_rare',\n",
       " 'IDneitherherenorthereID': 'ccnews_moderately_rare',\n",
       " 'IDcountyourblessingsID': 'ccnews_moderately_rare',\n",
       " 'IDholdcourtID': 'ccnews_moderately_rare',\n",
       " 'IDpassthebuckID': 'ccnews_very_rare',\n",
       " 'IDbumsteerID': 'ccnews_very_rare',\n",
       " 'IDwhenpushcomestoshoveID': 'ccnews_moderately_rare',\n",
       " 'IDkissofdeathID': 'ccnews_moderately_rare',\n",
       " 'IDclearthedecksID': 'ccnews_moderately_rare',\n",
       " 'IDgetariseoutofID': 'ccnews_moderately_rare',\n",
       " 'IDcarrotandstickID': 'ccnews_moderately_rare',\n",
       " 'IDhaveabunintheovenID': 'ccnews_very_rare',\n",
       " 'IDtalkofthedevilID': 'ccnews_very_rare',\n",
       " 'IDfriendsinhighplacesID': 'ccnews_moderately_rare',\n",
       " 'IDlendanearID': 'ccnews_moderately_rare',\n",
       " 'IDcockofthewalkID': 'ccnews_very_rare',\n",
       " 'IDalldressedupandnowheretogoID': 'ccnews_moderately_rare',\n",
       " 'IDpullarabbitoutofahatID': 'ccnews_very_rare',\n",
       " 'IDoldasthehillsID': 'ccnews_very_rare',\n",
       " 'IDnipandtuckID': 'ccnews_moderately_rare',\n",
       " 'IDputthecatamongthepigeonsID': 'ccnews_very_rare',\n",
       " 'IDbringhomethebaconID': 'ccnews_moderately_rare',\n",
       " 'IDatdaggersdrawnID': 'ccnews_very_rare',\n",
       " 'IDbrassmonkeyID': 'ccnews_moderately_rare',\n",
       " 'IDlayeyesonID': 'ccnews_moderately_rare',\n",
       " 'IDsweatlikeapigID': 'ccnews_very_rare',\n",
       " 'IDnothingtoitID': 'ccnews_very_rare',\n",
       " 'IDshootfromthehipID': 'ccnews_very_rare',\n",
       " 'IDfromstemtosternID': 'ccnews_very_rare',\n",
       " 'IDletyourhairdownID': 'ccnews_moderately_rare',\n",
       " 'IDsadsackID': 'ccnews_moderately_rare',\n",
       " 'IDbloodandgutsID': 'ccnews_moderately_rare',\n",
       " 'IDdoarunnerID': 'ccnews_moderately_rare',\n",
       " 'IDvaleoftearsID': 'ccnews_very_rare',\n",
       " 'IDkickthebucketID': 'ccnews_moderately_rare',\n",
       " 'IDtaketheroughwiththesmoothID': 'ccnews_moderately_rare',\n",
       " 'IDallovertheshowID': 'ccnews_moderately_rare',\n",
       " 'IDcallaspadeaspadeID': 'ccnews_moderately_rare',\n",
       " 'IDchopandchangeID': 'ccnews_moderately_rare',\n",
       " 'IDprickupyourearsID': 'ccnews_very_rare',\n",
       " 'IDthanksfornothingID': 'ccnews_very_rare',\n",
       " 'IDtakealeakID': 'ccnews_very_rare',\n",
       " 'IDhangtoughID': 'ccnews_moderately_rare',\n",
       " 'IDdishthedirtID': 'ccnews_moderately_rare',\n",
       " 'IDonthesamewavelengthID': 'ccnews_moderately_rare',\n",
       " 'IDhitthesackID': 'ccnews_very_rare',\n",
       " 'IDoffthetopofyourheadID': 'ccnews_moderately_rare',\n",
       " 'IDdroptheballID': 'ccnews_moderately_rare',\n",
       " 'IDnudgenudgewinkwinkID': 'ccnews_very_rare',\n",
       " 'IDatcrosspurposesID': 'ccnews_moderately_rare',\n",
       " 'IDatacanterID': 'ccnews_moderately_rare',\n",
       " 'IDdeadmeatID': 'ccnews_moderately_rare',\n",
       " 'IDchickenscomehometoroostID': 'ccnews_moderately_rare',\n",
       " 'IDgobeggingID': 'ccnews_moderately_rare',\n",
       " 'IDonthewagonID': 'ccnews_moderately_rare',\n",
       " 'IDducksoupID': 'ccnews_moderately_rare',\n",
       " 'IDswimagainstthetideID': 'ccnews_very_rare',\n",
       " 'IDontheskidsID': 'ccnews_moderately_rare',\n",
       " 'IDholdtheringID': 'ccnews_very_rare',\n",
       " 'IDfullwhackID': 'ccnews_very_rare',\n",
       " 'IDonthefiddleID': 'ccnews_moderately_rare',\n",
       " 'IDmarchingordersID': 'ccnews_very_rare',\n",
       " 'IDpoorlittlerichgirlID': 'ccnews_very_rare',\n",
       " 'IDletbygonesbebygonesID': 'ccnews_moderately_rare',\n",
       " 'IDgoofftheboilID': 'ccnews_very_rare',\n",
       " 'IDconfirmedbachelorID': 'ccnews_very_rare',\n",
       " 'IDupagumtreeID': 'ccnews_very_rare',\n",
       " 'IDcarrythedayID': 'ccnews_very_rare',\n",
       " 'IDatalooseendID': 'ccnews_moderately_rare',\n",
       " 'IDgetthebootID': 'ccnews_moderately_rare',\n",
       " 'IDthedieiscastID': 'ccnews_moderately_rare',\n",
       " 'IDwhoopitupID': 'ccnews_very_rare',\n",
       " 'IDbetwixtandbetweenID': 'ccnews_moderately_rare',\n",
       " 'IDallovertheshopID': 'ccnews_moderately_rare',\n",
       " 'IDcutthecrapID': 'ccnews_moderately_rare',\n",
       " 'IDdragyourfeetID': 'ccnews_very_rare',\n",
       " 'IDshowtheflagID': 'ccnews_moderately_rare',\n",
       " 'IDbynostretchoftheimaginationID': 'ccnews_moderately_rare',\n",
       " 'IDinthedrivingseatID': 'ccnews_very_rare',\n",
       " 'IDfullofbeansID': 'ccnews_moderately_rare',\n",
       " 'IDtalkshopID': 'ccnews_moderately_rare',\n",
       " 'IDrobpetertopaypaulID': 'ccnews_moderately_rare',\n",
       " 'IDturntailID': 'ccnews_very_rare',\n",
       " 'IDcrosstherubiconID': 'ccnews_moderately_rare',\n",
       " 'IDburnrubberID': 'ccnews_moderately_rare',\n",
       " 'IDgetdowntobrasstacksID': 'ccnews_moderately_rare',\n",
       " 'IDpullupstakesID': 'ccnews_moderately_rare',\n",
       " 'IDfromthecradletothegraveID': 'ccnews_very_rare',\n",
       " 'IDplaythefieldID': 'ccnews_moderately_rare',\n",
       " 'IDslipthroughthenetID': 'ccnews_moderately_rare',\n",
       " 'IDrideroughshodoverID': 'ccnews_moderately_rare',\n",
       " 'IDbeataboutthebushID': 'ccnews_very_rare',\n",
       " 'IDbuggerallID': 'ccnews_moderately_rare',\n",
       " 'IDboxcleverID': 'ccnews_moderately_rare',\n",
       " 'IDbringuptherearID': 'ccnews_very_rare',\n",
       " 'IDlikeabearwithasoreheadID': 'ccnews_very_rare',\n",
       " 'IDonthenodID': 'ccnews_moderately_rare',\n",
       " 'IDblowhotandcoldID': 'ccnews_very_rare',\n",
       " 'IDsafeashousesID': 'ccnews_very_rare',\n",
       " 'IDmaketracksID': 'ccnews_moderately_rare',\n",
       " 'IDrestonyourlaurelsID': 'ccnews_moderately_rare',\n",
       " 'IDlongtimenoseeID': 'ccnews_moderately_rare',\n",
       " 'IDsitonthefenceID': 'ccnews_moderately_rare',\n",
       " 'IDhottotrotID': 'ccnews_moderately_rare',\n",
       " 'IDkithandkinID': 'ccnews_moderately_rare',\n",
       " 'IDstubbornasamuleID': 'ccnews_very_rare',\n",
       " 'IDpressthefleshID': 'ccnews_very_rare',\n",
       " 'IDhardasnailsID': 'ccnews_moderately_rare',\n",
       " 'IDpumpironID': 'ccnews_moderately_rare',\n",
       " 'IDcosttheearthID': 'ccnews_moderately_rare',\n",
       " 'IDcometogriefID': 'ccnews_moderately_rare',\n",
       " 'IDcakesandaleID': 'ccnews_very_rare',\n",
       " 'IDittakestwototangoID': 'ccnews_moderately_rare',\n",
       " 'IDdogtiredID': 'ccnews_very_rare',\n",
       " 'IDsayuncleID': 'ccnews_very_rare',\n",
       " 'IDloseyourshirtID': 'ccnews_very_rare',\n",
       " 'IDpowerbehindthethroneID': 'ccnews_very_rare',\n",
       " 'IDsweatbloodID': 'ccnews_very_rare',\n",
       " 'IDpullstringsID': 'ccnews_moderately_rare',\n",
       " 'IDthatmakestwoofusID': 'ccnews_very_rare',\n",
       " 'IDwetbehindtheearsID': 'ccnews_very_rare',\n",
       " 'IDlightattheendofthetunnelID': 'ccnews_very_rare',\n",
       " 'IDtillthecowscomehomeID': 'ccnews_moderately_rare',\n",
       " 'IDkissandmakeupID': 'ccnews_moderately_rare',\n",
       " 'IDeatyourwordsID': 'ccnews_moderately_rare',\n",
       " 'IDtwoheadsarebetterthanoneID': 'ccnews_moderately_rare',\n",
       " 'IDinyourelementID': 'ccnews_moderately_rare',\n",
       " 'IDnorestforthewickedID': 'ccnews_moderately_rare',\n",
       " 'IDbrightyoungthingID': 'ccnews_moderately_rare',\n",
       " 'IDlaughallthewaytothebankID': 'ccnews_very_rare',\n",
       " 'IDshuffleoffthismortalcoilID': 'ccnews_very_rare',\n",
       " 'IDcomeacropperID': 'ccnews_very_rare',\n",
       " 'IDwithknobsonID': 'ccnews_very_rare',\n",
       " 'IDplayfortimeID': 'ccnews_moderately_rare',\n",
       " 'IDgospareID': 'ccnews_very_rare',\n",
       " 'IDhitthebottleID': 'ccnews_very_rare',\n",
       " 'IDlaydownthelawID': 'ccnews_moderately_rare',\n",
       " 'IDninetimesoutoftenID': 'ccnews_moderately_rare',\n",
       " 'IDstartoffonthewrongfootID': 'ccnews_very_rare',\n",
       " 'IDbeattherapID': 'ccnews_moderately_rare',\n",
       " 'IDsmartalecID': 'ccnews_moderately_rare',\n",
       " ...}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_rarity_category(num_of_sentences):\n",
    "    if num_of_sentences < THRESHOLD_MIN:\n",
    "        return 'ccnews_very_rare'\n",
    "    elif num_of_sentences > THRESHOLD_MAX:\n",
    "        return 'ccnews_frequent'\n",
    "    else:\n",
    "        return 'ccnews_moderately_rare'\n",
    "\n",
    "#Add a column to the dataframe\n",
    "df_ccnews_pie_counts['ccnews_rarity'] = df_ccnews_pie_counts['num_of_sentences'].map(lambda nos: get_rarity_category(nos))\n",
    "# Convert to a dictionary\n",
    "pie_rarity_map = {r['idiom_token']:r['ccnews_rarity'] for r in df_ccnews_pie_counts.to_dict(orient='records')}\n",
    "pie_rarity_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8623e8a1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bf612a1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Added one more column to df_tok_label_counts DataFrame!\n"
     ]
    },
    {
     "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>idiom_token</th>\n",
       "      <th>label</th>\n",
       "      <th>num_of_examples</th>\n",
       "      <th>total</th>\n",
       "      <th>idiomaticity_ratio</th>\n",
       "      <th>degree_of_idiomaticity</th>\n",
       "      <th>ccnews_rarity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDcometothinkofitID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IDliveandletliveID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDontheshelfID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>4</td>\n",
       "      <td>134</td>\n",
       "      <td>0.029851</td>\n",
       "      <td>highly_literal</td>\n",
       "      <td>ccnews_frequent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3471</th>\n",
       "      <td>IDpulloutallthestopsID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3472</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>42</td>\n",
       "      <td>68</td>\n",
       "      <td>0.617647</td>\n",
       "      <td>ambiguous</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3473</th>\n",
       "      <td>IDnightanddayID</td>\n",
       "      <td>literal</td>\n",
       "      <td>26</td>\n",
       "      <td>68</td>\n",
       "      <td>0.382353</td>\n",
       "      <td>ambiguous</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3475</th>\n",
       "      <td>IDkickupastinkID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3476 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 idiom_token    label  num_of_examples  total  \\\n",
       "0        IDcometothinkofitID    idiom              129    129   \n",
       "1        IDcometothinkofitID  literal                0    129   \n",
       "2         IDliveandletliveID    idiom               10     10   \n",
       "3         IDliveandletliveID  literal                0     10   \n",
       "4             IDontheshelfID    idiom                4    134   \n",
       "...                      ...      ...              ...    ...   \n",
       "3471  IDpulloutallthestopsID  literal                0     39   \n",
       "3472         IDnightanddayID    idiom               42     68   \n",
       "3473         IDnightanddayID  literal               26     68   \n",
       "3474        IDkickupastinkID    idiom                5      5   \n",
       "3475        IDkickupastinkID  literal                0      5   \n",
       "\n",
       "      idiomaticity_ratio degree_of_idiomaticity           ccnews_rarity  \n",
       "0               1.000000       highly_idiomatic  ccnews_moderately_rare  \n",
       "1               0.000000       highly_idiomatic  ccnews_moderately_rare  \n",
       "2               1.000000       highly_idiomatic  ccnews_moderately_rare  \n",
       "3               0.000000       highly_idiomatic  ccnews_moderately_rare  \n",
       "4               0.029851         highly_literal         ccnews_frequent  \n",
       "...                  ...                    ...                     ...  \n",
       "3471            0.000000       highly_idiomatic  ccnews_moderately_rare  \n",
       "3472            0.617647              ambiguous        ccnews_very_rare  \n",
       "3473            0.382353              ambiguous        ccnews_very_rare  \n",
       "3474            1.000000       highly_idiomatic        ccnews_very_rare  \n",
       "3475            0.000000       highly_idiomatic        ccnews_very_rare  \n",
       "\n",
       "[3476 rows x 7 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add another column to the existing df_tok_label_counts dataframe\n",
    "df_tok_label_counts['ccnews_rarity'] = df_tok_label_counts['idiom_token'].map(lambda tok: pie_rarity_map[tok] if tok in pie_rarity_map else 'ccnews_very_rare')\n",
    "print(\"Added one more column to df_tok_label_counts DataFrame!\")\n",
    "df_tok_label_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "761da4fb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a3410444",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize teh distributions of PIEs based on their rarity\n",
    "\n",
    "df_vis = df_tok_label_counts[df_tok_label_counts['label'] == LABEL_IDIOM]\n",
    "df_vis = df_vis[['ccnews_rarity', 'total']].reset_index()\n",
    "df_grp = df_vis.groupby('ccnews_rarity', as_index=False).agg({'total': 'sum', 'index': 'count'})\n",
    "total_count_dict = {item['ccnews_rarity']:item['total'] for item in df_grp.to_dict(orient='records')}\n",
    "pie_count_dict = {item['ccnews_rarity']:item['index'] for item in df_grp.to_dict(orient='records')}\n",
    "\n",
    "x_labels = ['ccnews_frequent', 'ccnews_moderately_rare', 'ccnews_very_rare']\n",
    "y_vals = [total_count_dict[x] for x in x_labels]\n",
    "y_heads = [pie_count_dict[x] for x in x_labels]\n",
    "y_heads = [f\"{pc} PIEs\" for pc in y_heads]\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "ax= sns.barplot(x=x_labels, y=y_vals, palette=\"Set2\")\n",
    "\n",
    "# Display the actual numbers on the bars\n",
    "for x_tick,(val, head) in enumerate(zip(y_vals, y_heads)):\n",
    "    ax.text(x_tick, val-2000, head, color='white', ha='center')\n",
    "\n",
    "plt.title(f'Number of examples with Rarity of PIEs in CommonCrawl News corpus')\n",
    "plt.ylabel('Number of examples')\n",
    "\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cf15f86",
   "metadata": {},
   "source": [
    "## Save the PIE groups with different CCNews 'Rarity groups'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6faedc4c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved the CCNews Rarity grouping at ../data/PIE_segregation/pie_segregation.csv\n"
     ]
    }
   ],
   "source": [
    "df_tok_label_counts.to_csv(output_file, index=False)\n",
    "print(f\"Saved the CCNews Rarity grouping at {output_file}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c5d4471",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ed6c7f3e",
   "metadata": {},
   "source": [
    "## 3. Groups based on 'Morphological Variations' of PIEs\n",
    "\n",
    "PIEs with very few morphological variaionts (high number of exact matches in the MAGPIE sentences), versus very high morphological variations in the MAGPIE corpus\n",
    "\n",
    "The three categories:\n",
    "\n",
    "1. **no_morphology** - PIEs with no morphological variations at all\n",
    "2. **moderate_morphology** - PIEs between 1 to *THRESHOLD* different variations only\n",
    "3. **high_morphology** - PIEs more than *THRESHOLD* variations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e49bfc15",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence_0</th>\n",
       "      <th>idiom</th>\n",
       "      <th>confidence</th>\n",
       "      <th>label</th>\n",
       "      <th>split</th>\n",
       "      <th>variant_type</th>\n",
       "      <th>offsets</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>For example , with fell running and mountain m...</td>\n",
       "      <td>off the beaten track</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[117, 120], [125, 131], [132, 137]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I 'd keep him well in the running .</td>\n",
       "      <td>in the running</td>\n",
       "      <td>0.770109</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[19, 21], [26, 33]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>He gives me the creeps , so I looked round , h...</td>\n",
       "      <td>give someone the creeps</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>combined-inflection</td>\n",
       "      <td>[[3, 8], [9, 11], [16, 22]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>‘ He 's done us proud , as well,’ says Granvil...</td>\n",
       "      <td>do someone proud</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>combined-inflection</td>\n",
       "      <td>[[8, 12], [13, 15], [16, 21]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>People quickly embraced formal democracy , but...</td>\n",
       "      <td>take root</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[136, 140], [141, 145]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48390</th>\n",
       "      <td>Many also have second or third jobs to make en...</td>\n",
       "      <td>make ends meet</td>\n",
       "      <td>0.854973</td>\n",
       "      <td>i</td>\n",
       "      <td>test</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[39, 43], [44, 48], [49, 53]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48391</th>\n",
       "      <td>Take people to objections , take them to where...</td>\n",
       "      <td>bear in mind</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[71, 75], [76, 78], [79, 83]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48392</th>\n",
       "      <td>Indeed we are rarely aware of them as rules , ...</td>\n",
       "      <td>as a rule</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>l</td>\n",
       "      <td>training</td>\n",
       "      <td>deletion-determiner</td>\n",
       "      <td>[[35, 37], [38, 43]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48393</th>\n",
       "      <td>Unlike in a firm that is a jack of all trades ...</td>\n",
       "      <td>jack of all trades</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>identical</td>\n",
       "      <td>[[27, 31], [32, 34], [35, 38], [39, 45]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48394</th>\n",
       "      <td>The Government flies these kites of disinforma...</td>\n",
       "      <td>fly a kite</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>i</td>\n",
       "      <td>training</td>\n",
       "      <td>combined-inflection</td>\n",
       "      <td>[[15, 20], [27, 32]]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48395 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              sentence_0  \\\n",
       "0      For example , with fell running and mountain m...   \n",
       "1                    I 'd keep him well in the running .   \n",
       "2      He gives me the creeps , so I looked round , h...   \n",
       "3      ‘ He 's done us proud , as well,’ says Granvil...   \n",
       "4      People quickly embraced formal democracy , but...   \n",
       "...                                                  ...   \n",
       "48390  Many also have second or third jobs to make en...   \n",
       "48391  Take people to objections , take them to where...   \n",
       "48392  Indeed we are rarely aware of them as rules , ...   \n",
       "48393  Unlike in a firm that is a jack of all trades ...   \n",
       "48394  The Government flies these kites of disinforma...   \n",
       "\n",
       "                         idiom  confidence label     split  \\\n",
       "0         off the beaten track    1.000000     i  training   \n",
       "1               in the running    0.770109     i  training   \n",
       "2      give someone the creeps    1.000000     i  training   \n",
       "3             do someone proud    1.000000     i  training   \n",
       "4                    take root    1.000000     i  training   \n",
       "...                        ...         ...   ...       ...   \n",
       "48390           make ends meet    0.854973     i      test   \n",
       "48391             bear in mind    1.000000     i  training   \n",
       "48392                as a rule    1.000000     l  training   \n",
       "48393       jack of all trades    1.000000     i  training   \n",
       "48394               fly a kite    1.000000     i  training   \n",
       "\n",
       "              variant_type                                   offsets  \n",
       "0                identical      [[117, 120], [125, 131], [132, 137]]  \n",
       "1                identical                      [[19, 21], [26, 33]]  \n",
       "2      combined-inflection               [[3, 8], [9, 11], [16, 22]]  \n",
       "3      combined-inflection             [[8, 12], [13, 15], [16, 21]]  \n",
       "4                identical                  [[136, 140], [141, 145]]  \n",
       "...                    ...                                       ...  \n",
       "48390            identical            [[39, 43], [44, 48], [49, 53]]  \n",
       "48391            identical            [[71, 75], [76, 78], [79, 83]]  \n",
       "48392  deletion-determiner                      [[35, 37], [38, 43]]  \n",
       "48393            identical  [[27, 31], [32, 34], [35, 38], [39, 45]]  \n",
       "48394  combined-inflection                      [[15, 20], [27, 32]]  \n",
       "\n",
       "[48395 rows x 7 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the original processed MAGPIE corpus, which contains the raw sentences before replacing with PIE tokens\n",
    "magpie_raw_file = data_dir + '/magpie/processed_MAGPIE_filtered_split_typebased.csv'\n",
    "df_magpie_raw = pd.read_csv(magpie_raw_file)\n",
    "df_magpie_raw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e8a50dc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "identical               23513\n",
       "inflection               8183\n",
       "combined-inflection      5080\n",
       "dashes                   3217\n",
       "case                     1665\n",
       "combined-other           1410\n",
       "insertion-other          1409\n",
       "misc                      987\n",
       "determiner-broad          765\n",
       "deletion-determiner       612\n",
       "possessive                562\n",
       "determiner-narrow         452\n",
       "insertion-determiner      374\n",
       "objective                 166\n",
       "Name: variant_type, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use 'variant_type' column\n",
    "df_magpie_raw['variant_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3c40c413",
   "metadata": {},
   "outputs": [],
   "source": [
    "# These variations are considered exact-match\n",
    "identical_types = set(['identical', 'dashes', 'case', 'misc'])\n",
    "# Remaining all variations are non-exact match"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8062f3e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"Bob's your uncle\": 0,\n",
       " 'Dutch courage': 0,\n",
       " \"Hobson's choice\": 0,\n",
       " \"I'll eat my hat\": 0,\n",
       " 'Indian summer': 0,\n",
       " 'Jekyll and Hyde': 0,\n",
       " 'Pyrrhic victory': 0,\n",
       " \"a hair's breadth\": 0,\n",
       " 'a little bird told me': 2,\n",
       " 'a penny for your thoughts': 2,\n",
       " 'a pretty penny': 1,\n",
       " 'above board': 3,\n",
       " 'above par': 0,\n",
       " 'across the board': 5,\n",
       " 'act of God': 2,\n",
       " 'add fuel to the fire': 5,\n",
       " 'add insult to injury': 2,\n",
       " 'against the grain': 4,\n",
       " 'ahead of the curve': 0,\n",
       " 'ahead of the game': 1,\n",
       " 'alive and kicking': 2,\n",
       " 'all along': 0,\n",
       " 'all and sundry': 0,\n",
       " 'all bets are off': 1,\n",
       " 'all dressed up and nowhere to go': 0,\n",
       " 'all hell broke loose': 2,\n",
       " \"all in a day's work\": 0,\n",
       " 'all over bar the shouting': 0,\n",
       " 'all over the map': 1,\n",
       " 'all over the place': 2,\n",
       " 'all over the shop': 1,\n",
       " 'all over the show': 0,\n",
       " 'all the rage': 1,\n",
       " 'all things being equal': 3,\n",
       " 'all wet': 0,\n",
       " 'along about': 0,\n",
       " \"an Englishman's home is his castle\": 0,\n",
       " 'an old flame': 3,\n",
       " 'and all that jazz': 0,\n",
       " 'and then some': 0,\n",
       " 'any port in a storm': 0,\n",
       " \"anyone's guess\": 0,\n",
       " 'anything goes': 2,\n",
       " 'apples and oranges': 2,\n",
       " 'argue the toss': 2,\n",
       " 'armed to the teeth': 2,\n",
       " 'around the clock': 1,\n",
       " 'arse about face': 0,\n",
       " 'as a rule': 6,\n",
       " 'as good as new': 0,\n",
       " 'as luck would have it': 2,\n",
       " 'as the actress said to the bishop': 0,\n",
       " 'as the crow flies': 1,\n",
       " 'ask for the moon': 1,\n",
       " 'asleep at the wheel': 0,\n",
       " 'at a canter': 2,\n",
       " 'at a loose end': 0,\n",
       " 'at a loss for words': 2,\n",
       " 'at a pinch': 0,\n",
       " \"at a snail's pace\": 0,\n",
       " 'at a stretch': 4,\n",
       " 'at cross purposes': 0,\n",
       " 'at daggers drawn': 0,\n",
       " \"at death's door\": 0,\n",
       " 'at full tilt': 0,\n",
       " 'at loggerheads': 0,\n",
       " 'at sea': 3,\n",
       " 'at sixes and sevens': 0,\n",
       " 'at the coalface': 0,\n",
       " 'at the crossroads': 5,\n",
       " 'at the drop of a hat': 2,\n",
       " 'at the end of the day': 6,\n",
       " 'at your fingertips': 0,\n",
       " 'away with the fairies': 0,\n",
       " 'babe in arms': 0,\n",
       " 'back to square one': 0,\n",
       " 'back to the drawing board': 2,\n",
       " 'bag and baggage': 0,\n",
       " 'banana republic': 1,\n",
       " 'bang for the buck': 3,\n",
       " 'bang to rights': 0,\n",
       " 'bar none': 1,\n",
       " 'bark up the wrong tree': 2,\n",
       " 'basket case': 1,\n",
       " 'batten down the hatches': 2,\n",
       " 'be all ears': 1,\n",
       " 'be left holding the baby': 1,\n",
       " 'be my guest': 3,\n",
       " 'bear fruit': 3,\n",
       " 'bear in mind': 4,\n",
       " 'beard the lion in his den': 2,\n",
       " 'beat about the bush': 2,\n",
       " 'beat swords into ploughshares': 1,\n",
       " 'beat the clock': 0,\n",
       " 'beat the daylights out of': 1,\n",
       " 'beat the meat': 2,\n",
       " 'beat the rap': 1,\n",
       " 'bedroom eyes': 0,\n",
       " 'been there, done that': 1,\n",
       " 'beer and skittles': 0,\n",
       " 'before you can say Jack Robinson': 0,\n",
       " 'before you can say knife': 0,\n",
       " 'beg the question': 6,\n",
       " \"beggars can't be choosers\": 0,\n",
       " 'behind bars': 4,\n",
       " 'behind closed doors': 2,\n",
       " \"behind someone's back\": 3,\n",
       " 'behind the curve': 0,\n",
       " 'behind the eight ball': 0,\n",
       " 'behind the scenes': 2,\n",
       " 'bell the cat': 1,\n",
       " 'bells and whistles': 0,\n",
       " 'below par': 1,\n",
       " 'below the belt': 2,\n",
       " 'belt and braces': 0,\n",
       " \"bend someone's ear\": 1,\n",
       " 'beside yourself': 0,\n",
       " 'better late than never': 0,\n",
       " 'better safe than sorry': 0,\n",
       " 'better the devil you know': 1,\n",
       " 'between a rock and a hard place': 0,\n",
       " 'between the devil and the deep blue sea': 0,\n",
       " 'betwixt and between': 0,\n",
       " 'beyond the pale': 1,\n",
       " \"big girl's blouse\": 0,\n",
       " 'big hitter': 2,\n",
       " 'birds of a feather': 1,\n",
       " 'bite off more than you can chew': 2,\n",
       " \"bite someone's head off\": 2,\n",
       " 'bite the big one': 1,\n",
       " 'bite the bullet': 3,\n",
       " 'bite the dust': 2,\n",
       " 'bite your lip': 0,\n",
       " 'bite your tongue': 2,\n",
       " 'bits and bobs': 1,\n",
       " 'black and blue': 1,\n",
       " 'blaze a trail': 3,\n",
       " 'bleeding heart': 2,\n",
       " 'blood and guts': 0,\n",
       " 'blood and thunder': 0,\n",
       " 'blood is thicker than water': 1,\n",
       " 'blow a fuse': 2,\n",
       " 'blow a gasket': 2,\n",
       " 'blow hot and cold': 2,\n",
       " 'blow off steam': 1,\n",
       " \"blow someone's cover\": 2,\n",
       " \"blow someone's mind\": 1,\n",
       " 'blow the lid off': 0,\n",
       " 'blow your own trumpet': 1,\n",
       " 'blow your top': 0,\n",
       " 'body blow': 2,\n",
       " 'boots and all': 1,\n",
       " 'born and bred': 0,\n",
       " 'bottom drawer': 2,\n",
       " 'bounce off the walls': 2,\n",
       " 'bow and scrape': 1,\n",
       " 'box clever': 2,\n",
       " 'boys in blue': 1,\n",
       " 'boys will be boys': 0,\n",
       " 'brass monkey': 2,\n",
       " 'brass neck': 0,\n",
       " 'bread and circuses': 1,\n",
       " 'break cover': 1,\n",
       " 'break even': 3,\n",
       " 'break new ground': 3,\n",
       " 'break ranks': 3,\n",
       " \"break someone's heart\": 2,\n",
       " 'break the back of': 2,\n",
       " 'break the bank': 3,\n",
       " 'break the ice': 4,\n",
       " \"breathe down someone's neck\": 1,\n",
       " 'bright and early': 0,\n",
       " 'bright young thing': 2,\n",
       " 'bring home the bacon': 1,\n",
       " 'bring someone to book': 2,\n",
       " 'bring the house down': 1,\n",
       " 'bring up the rear': 2,\n",
       " 'broad in the beam': 0,\n",
       " 'brownie point': 3,\n",
       " 'bugger all': 0,\n",
       " 'build castles in the air': 1,\n",
       " 'bum steer': 1,\n",
       " 'bums on seats': 1,\n",
       " 'bundle of joy': 0,\n",
       " 'burn rubber': 1,\n",
       " 'burn the candle at both ends': 2,\n",
       " 'burn the midnight oil': 2,\n",
       " \"burst someone's bubble\": 3,\n",
       " 'bury the hatchet': 1,\n",
       " 'bury your head in the sand': 0,\n",
       " 'bush telegraph': 0,\n",
       " 'buy the farm': 6,\n",
       " 'buy time': 4,\n",
       " 'by a long chalk': 1,\n",
       " 'by a long shot': 0,\n",
       " 'by and large': 0,\n",
       " 'by dint of': 0,\n",
       " 'by heart': 3,\n",
       " 'by hook or by crook': 0,\n",
       " 'by leaps and bounds': 0,\n",
       " 'by no stretch of the imagination': 0,\n",
       " 'by the back door': 2,\n",
       " 'by the book': 7,\n",
       " 'by the by': 0,\n",
       " 'by the same token': 1,\n",
       " 'by the seat of your pants': 0,\n",
       " 'by the skin of your teeth': 0,\n",
       " 'cakes and ale': 0,\n",
       " 'call a spade a spade': 1,\n",
       " 'call it a day': 2,\n",
       " 'call it quits': 1,\n",
       " 'call off the dogs': 0,\n",
       " \"call someone's bluff\": 2,\n",
       " 'call the shots': 4,\n",
       " 'call the tune': 3,\n",
       " 'cap in hand': 2,\n",
       " 'carrot and stick': 4,\n",
       " 'carry a torch for': 2,\n",
       " 'carry the can': 3,\n",
       " 'carry the day': 1,\n",
       " 'cast pearls before swine': 1,\n",
       " 'cast the first stone': 0,\n",
       " 'cast your mind back': 1,\n",
       " 'catch a cold': 5,\n",
       " 'catch fire': 2,\n",
       " 'catch someone napping': 2,\n",
       " \"catch someone's eye\": 3,\n",
       " 'catch the sun': 3,\n",
       " 'champ at the bit': 0,\n",
       " 'change hands': 3,\n",
       " 'change your tune': 1,\n",
       " 'chapter and verse': 2,\n",
       " 'charity begins at home': 1,\n",
       " 'chase rainbows': 0,\n",
       " 'chase your tail': 1,\n",
       " 'cheek by jowl': 0,\n",
       " 'chew the cud': 1,\n",
       " 'chew the fat': 2,\n",
       " 'chicken feed': 0,\n",
       " 'chickens come home to roost': 2,\n",
       " \"child's play\": 0,\n",
       " 'chop and change': 1,\n",
       " 'chuck it down': 2,\n",
       " 'circle the wagons': 0,\n",
       " 'claim to fame': 2,\n",
       " 'clean as a whistle': 0,\n",
       " 'clean house': 3,\n",
       " 'clear as mud': 0,\n",
       " 'clear the decks': 2,\n",
       " 'close but no cigar': 1,\n",
       " 'close call': 1,\n",
       " 'close ranks': 0,\n",
       " 'close shave': 3,\n",
       " 'close to home': 4,\n",
       " 'cloth ears': 0,\n",
       " 'clutch at straws': 2,\n",
       " 'coals to Newcastle': 1,\n",
       " 'cock a snook': 3,\n",
       " 'cock of the walk': 0,\n",
       " 'cog in the machine': 3,\n",
       " 'cold comfort': 1,\n",
       " 'cold feet': 2,\n",
       " 'collect dust': 3,\n",
       " 'come a cropper': 2,\n",
       " 'come clean': 3,\n",
       " 'come down the pike': 1,\n",
       " 'come full circle': 1,\n",
       " 'come hell or high water': 0,\n",
       " 'come in from the cold': 2,\n",
       " 'come of age': 2,\n",
       " 'come out in the wash': 1,\n",
       " 'come out of your shell': 0,\n",
       " 'come rain or shine': 0,\n",
       " 'come to a head': 5,\n",
       " 'come to a pretty pass': 0,\n",
       " 'come to grief': 3,\n",
       " 'come to grips with': 3,\n",
       " 'come to mind': 3,\n",
       " 'come to terms with': 3,\n",
       " 'come to think of it': 2,\n",
       " 'come unstuck': 3,\n",
       " 'come up roses': 2,\n",
       " 'come up smelling of roses': 1,\n",
       " 'come up trumps': 1,\n",
       " 'come with the territory': 1,\n",
       " 'confirmed bachelor': 0,\n",
       " \"cook someone's goose\": 2,\n",
       " 'cook the books': 3,\n",
       " 'cool your heels': 0,\n",
       " 'cop a plea': 2,\n",
       " 'cost the earth': 3,\n",
       " 'couch potato': 1,\n",
       " 'could eat a horse': 0,\n",
       " 'count sheep': 2,\n",
       " 'count your blessings': 1,\n",
       " \"cramp someone's style\": 3,\n",
       " 'crash and burn': 0,\n",
       " 'crocodile tears': 2,\n",
       " 'cross my heart': 1,\n",
       " 'cross swords': 1,\n",
       " 'cross the Rubicon': 1,\n",
       " 'cruising for a bruising': 0,\n",
       " 'cry foul': 2,\n",
       " 'cry uncle': 0,\n",
       " 'cry wolf': 3,\n",
       " 'crystal clear': 0,\n",
       " 'cuckoo in the nest': 3,\n",
       " 'curiosity killed the cat': 0,\n",
       " 'curry favour': 3,\n",
       " 'cut a dash': 3,\n",
       " 'cut a rug': 1,\n",
       " 'cut and dried': 4,\n",
       " 'cut and run': 2,\n",
       " 'cut and thrust': 0,\n",
       " 'cut both ways': 1,\n",
       " 'cut corners': 5,\n",
       " 'cut from the same cloth': 0,\n",
       " 'cut it fine': 2,\n",
       " 'cut loose': 1,\n",
       " 'cut no ice': 1,\n",
       " 'cut the Gordian knot': 1,\n",
       " 'cut the crap': 3,\n",
       " 'cut the mustard': 2,\n",
       " 'cut your coat according to your cloth': 0,\n",
       " 'cut your losses': 1,\n",
       " 'day in, day out': 0,\n",
       " 'daylight robbery': 0,\n",
       " 'dead and buried': 0,\n",
       " 'dead as a dodo': 2,\n",
       " 'dead as a doornail': 1,\n",
       " 'dead in the water': 0,\n",
       " 'dead meat': 0,\n",
       " \"dead men's shoes\": 0,\n",
       " 'dead to the world': 0,\n",
       " 'dead wood': 2,\n",
       " 'deaf as a post': 0,\n",
       " 'dice with death': 1,\n",
       " 'die on the vine': 0,\n",
       " 'different strokes for different folks': 0,\n",
       " 'dig deep': 4,\n",
       " 'dig up dirt': 3,\n",
       " 'discretion is the better part of valour': 2,\n",
       " 'dish the dirt': 2,\n",
       " 'do a bunk': 2,\n",
       " 'do a number on': 3,\n",
       " 'do a runner': 2,\n",
       " 'do me a favour': 5,\n",
       " 'do someone proud': 3,\n",
       " \"do someone's head in\": 2,\n",
       " 'do the honours': 3,\n",
       " 'do the right thing': 2,\n",
       " 'do the trick': 7,\n",
       " 'dog eat dog': 1,\n",
       " 'dog in the manger': 0,\n",
       " 'dog tired': 0,\n",
       " \"don't give up the day job\": 0,\n",
       " \"don't hold your breath\": 0,\n",
       " 'donkey work': 1,\n",
       " 'doom and gloom': 0,\n",
       " \"dot the i's and cross the t's\": 0,\n",
       " 'down and dirty': 0,\n",
       " 'down and out': 2,\n",
       " 'down at heel': 2,\n",
       " 'down in the dumps': 1,\n",
       " 'down in the mouth': 0,\n",
       " 'down the drain': 4,\n",
       " 'down the hatch': 2,\n",
       " 'down the road': 4,\n",
       " 'down the tubes': 3,\n",
       " 'down to the wire': 0,\n",
       " 'drag your feet': 0,\n",
       " 'draw a bead on': 1,\n",
       " 'draw a blank': 3,\n",
       " 'draw a line in the sand': 0,\n",
       " 'draw stumps': 1,\n",
       " 'draw the short straw': 2,\n",
       " 'dressed to kill': 2,\n",
       " 'dressed to the nines': 1,\n",
       " 'drink like a fish': 1,\n",
       " 'drive someone up the wall': 3,\n",
       " 'drop a brick': 4,\n",
       " 'drop a hint': 5,\n",
       " 'drop like flies': 2,\n",
       " 'drop someone a line': 2,\n",
       " 'drop the ball': 4,\n",
       " 'drown your sorrows': 1,\n",
       " 'drunk as a lord': 1,\n",
       " 'dry as dust': 0,\n",
       " 'duck soup': 0,\n",
       " 'duke it out': 0,\n",
       " 'dyed in the wool': 1,\n",
       " 'early bird': 1,\n",
       " 'easier said than done': 0,\n",
       " 'easy as falling off a log': 0,\n",
       " 'easy as pie': 1,\n",
       " 'easy does it': 0,\n",
       " 'easy on the eye': 1,\n",
       " 'eat humble pie': 2,\n",
       " 'eat like a horse': 1,\n",
       " 'eat someone alive': 2,\n",
       " 'eat someone out of house and home': 3,\n",
       " 'eat your heart out': 2,\n",
       " 'eat your words': 0,\n",
       " 'economical with the truth': 0,\n",
       " 'err on the side of': 2,\n",
       " 'eternal triangle': 1,\n",
       " 'every dog has its day': 1,\n",
       " 'every last': 0,\n",
       " 'every man for himself': 0,\n",
       " 'every man jack': 0,\n",
       " 'every nook and cranny': 0,\n",
       " 'every trick in the book': 2,\n",
       " 'every which way': 0,\n",
       " 'everything but the kitchen sink': 0,\n",
       " 'everything in the garden is rosy': 0,\n",
       " 'eyeball to eyeball': 0,\n",
       " 'face the music': 2,\n",
       " 'face to face': 2,\n",
       " 'fair and square': 0,\n",
       " 'fair game': 0,\n",
       " 'fall between two stools': 4,\n",
       " 'fall by the wayside': 3,\n",
       " 'fall from grace': 3,\n",
       " 'fall in line': 2,\n",
       " 'fall into place': 3,\n",
       " 'fall off the back of a lorry': 2,\n",
       " 'fall on deaf ears': 3,\n",
       " 'fall on stony ground': 2,\n",
       " 'fall short': 3,\n",
       " 'famous last words': 0,\n",
       " 'far and away': 0,\n",
       " 'fast and furious': 1,\n",
       " 'feast or famine': 0,\n",
       " 'feeding frenzy': 0,\n",
       " 'feel the pinch': 2,\n",
       " 'few and far between': 0,\n",
       " 'fight fire with fire': 1,\n",
       " 'fight shy of': 1,\n",
       " 'fight tooth and nail': 4,\n",
       " \"fill someone's shoes\": 2,\n",
       " 'fill the bill': 2,\n",
       " 'find your feet': 1,\n",
       " 'fire in the belly': 1,\n",
       " 'first among equals': 0,\n",
       " 'first off': 0,\n",
       " 'first up': 0,\n",
       " 'fish in troubled waters': 1,\n",
       " 'fit as a fiddle': 0,\n",
       " 'fit like a glove': 2,\n",
       " 'fit the bill': 4,\n",
       " 'fit to be tied': 0,\n",
       " 'five-finger discount': 0,\n",
       " 'flash in the pan': 1,\n",
       " 'flat as a pancake': 1,\n",
       " 'flog a dead horse': 1,\n",
       " 'flutter the dovecotes': 0,\n",
       " 'fly a kite': 5,\n",
       " 'fly in the face of': 3,\n",
       " 'fly off the handle': 2,\n",
       " 'fly the coop': 1,\n",
       " 'fly the flag': 7,\n",
       " 'foam at the mouth': 2,\n",
       " \"follow in someone's footsteps\": 3,\n",
       " 'follow suit': 3,\n",
       " 'follow your nose': 1,\n",
       " 'food for thought': 2,\n",
       " 'foot the bill': 5,\n",
       " 'for Africa': 0,\n",
       " 'for a song': 6,\n",
       " 'for crying out loud': 0,\n",
       " \"for donkey's years\": 0,\n",
       " 'for good measure': 0,\n",
       " 'for keeps': 1,\n",
       " 'for my money': 1,\n",
       " 'for the hell of it': 1,\n",
       " 'for the time being': 2,\n",
       " 'forbidden fruit': 1,\n",
       " \"force someone's hand\": 2,\n",
       " 'forty winks': 0,\n",
       " 'free and easy': 0,\n",
       " 'free rein': 0,\n",
       " 'friends in high places': 1,\n",
       " 'from A to Z': 0,\n",
       " 'from pillar to post': 0,\n",
       " 'from rags to riches': 0,\n",
       " 'from scratch': 1,\n",
       " 'from stem to stern': 0,\n",
       " 'from the cradle to the grave': 1,\n",
       " \"from the horse's mouth\": 0,\n",
       " 'from the word go': 1,\n",
       " 'full marks': 1,\n",
       " 'full of beans': 1,\n",
       " 'full of the joys of spring': 0,\n",
       " 'full speed ahead': 0,\n",
       " 'full tilt': 0,\n",
       " 'full whack': 0,\n",
       " 'fun and games': 1,\n",
       " 'game on': 2,\n",
       " 'gather dust': 1,\n",
       " 'get a grip': 4,\n",
       " 'get a handle on': 2,\n",
       " 'get a life': 4,\n",
       " 'get a move on': 2,\n",
       " 'get a rise out of': 1,\n",
       " 'get away with murder': 3,\n",
       " 'get cracking': 1,\n",
       " 'get down to brass tacks': 0,\n",
       " 'get in on the ground floor': 1,\n",
       " 'get it in the neck': 2,\n",
       " 'get it up': 3,\n",
       " 'get lost': 4,\n",
       " 'get off the ground': 1,\n",
       " 'get on like a house on fire': 2,\n",
       " \"get on someone's nerves\": 3,\n",
       " \"get on someone's wick\": 2,\n",
       " \"get someone's back up\": 2,\n",
       " \"get someone's goat\": 1,\n",
       " 'get stuck in': 2,\n",
       " 'get stuck into': 1,\n",
       " 'get the better of': 1,\n",
       " 'get the boot': 6,\n",
       " 'get the nod': 3,\n",
       " 'get the picture': 7,\n",
       " 'get the show on the road': 0,\n",
       " 'get to grips with': 3,\n",
       " 'get to the bottom of': 4,\n",
       " \"get under someone's skin\": 3,\n",
       " \"get up someone's nose\": 2,\n",
       " 'get wind of': 2,\n",
       " 'get your feet wet': 1,\n",
       " 'get your hands dirty': 0,\n",
       " 'get your skates on': 0,\n",
       " 'get your teeth into': 0,\n",
       " 'gild the lily': 2,\n",
       " 'give and take': 5,\n",
       " 'give as good as you get': 0,\n",
       " 'give head': 3,\n",
       " 'give it a whirl': 1,\n",
       " 'give someone a bloody nose': 3,\n",
       " 'give someone a piece of your mind': 1,\n",
       " 'give someone enough rope': 1,\n",
       " 'give someone grief': 2,\n",
       " 'give someone pause': 3,\n",
       " 'give someone the creeps': 2,\n",
       " 'give someone the eye': 1,\n",
       " 'give someone the runaround': 1,\n",
       " 'give someone the slip': 3,\n",
       " 'give someone what for': 2,\n",
       " 'give something a miss': 3,\n",
       " 'give up the ghost': 1,\n",
       " 'go Dutch': 1,\n",
       " 'go all the way': 4,\n",
       " 'go ballistic': 0,\n",
       " 'go bananas': 2,\n",
       " 'go begging': 2,\n",
       " 'go by the board': 1,\n",
       " 'go down a storm': 2,\n",
       " 'go down like a lead balloon': 2,\n",
       " 'go down the pan': 2,\n",
       " 'go down the wrong way': 2,\n",
       " 'go downhill': 3,\n",
       " 'go for broke': 2,\n",
       " 'go for the jugular': 4,\n",
       " 'go from strength to strength': 2,\n",
       " 'go great guns': 2,\n",
       " 'go halves': 1,\n",
       " 'go hand in hand': 4,\n",
       " 'go it alone': 2,\n",
       " 'go native': 2,\n",
       " 'go off the boil': 1,\n",
       " 'go overboard': 2,\n",
       " 'go places': 3,\n",
       " 'go public': 3,\n",
       " 'go round in circles': 2,\n",
       " 'go spare': 2,\n",
       " 'go straight': 2,\n",
       " 'go the distance': 5,\n",
       " 'go the extra mile': 2,\n",
       " 'go the whole hog': 3,\n",
       " 'go through the mill': 1,\n",
       " 'go through the motions': 3,\n",
       " 'go to ground': 4,\n",
       " 'go to seed': 2,\n",
       " 'go to the dogs': 2,\n",
       " 'go to the mat': 1,\n",
       " 'go to the wall': 3,\n",
       " 'go to town': 5,\n",
       " 'go to your head': 2,\n",
       " 'go under the hammer': 2,\n",
       " 'go up in smoke': 2,\n",
       " 'go west': 3,\n",
       " 'go with the flow': 3,\n",
       " 'go without saying': 3,\n",
       " 'gone with the wind': 0,\n",
       " 'good Samaritan': 0,\n",
       " 'good offices': 1,\n",
       " 'good riddance': 1,\n",
       " 'grasp at straws': 0,\n",
       " 'grasp the nettle': 4,\n",
       " \"grease someone's palm\": 0,\n",
       " 'grease the wheels': 1,\n",
       " 'greasy spoon': 1,\n",
       " 'great minds think alike': 1,\n",
       " 'green light': 5,\n",
       " 'green with envy': 0,\n",
       " 'grin and bear it': 0,\n",
       " 'grin like a Cheshire cat': 0,\n",
       " 'grind to a halt': 2,\n",
       " 'grist to the mill': 3,\n",
       " 'hack it': 1,\n",
       " 'hair of the dog': 0,\n",
       " 'hammer and tongs': 0,\n",
       " 'hand in glove': 1,\n",
       " 'hand to mouth': 0,\n",
       " 'hands down': 1,\n",
       " 'handsome is as handsome does': 0,\n",
       " 'hang by a thread': 2,\n",
       " 'hang fire': 1,\n",
       " 'hang tough': 1,\n",
       " 'hard as nails': 0,\n",
       " 'hard cheese': 3,\n",
       " \"hate someone's guts\": 2,\n",
       " 'haul someone over the coals': 1,\n",
       " 'have a ball': 5,\n",
       " 'have a bash': 4,\n",
       " 'have a bun in the oven': 0,\n",
       " 'have a cow': 3,\n",
       " 'have a few': 4,\n",
       " 'have a foot in both camps': 1,\n",
       " 'have a heart': 5,\n",
       " 'have a mountain to climb': 2,\n",
       " 'have a screw loose': 2,\n",
       " 'have a tiger by the tail': 0,\n",
       " 'have an eye for': 2,\n",
       " 'have been around': 4,\n",
       " 'have it both ways': 2,\n",
       " 'have it easy': 3,\n",
       " 'have kittens': 1,\n",
       " 'have no truck with': 1,\n",
       " 'have other fish to fry': 1,\n",
       " 'have someone by the short and curlies': 1,\n",
       " 'have someone on toast': 2,\n",
       " \"have someone's guts for garters\": 1,\n",
       " \"have someone's number\": 2,\n",
       " 'have the hots for': 1,\n",
       " 'have the last laugh': 2,\n",
       " 'have words': 4,\n",
       " 'have your work cut out': 0,\n",
       " 'head for the hills': 1,\n",
       " 'head over heels': 3,\n",
       " 'head south': 2,\n",
       " 'heads will roll': 0,\n",
       " 'hear things': 4,\n",
       " 'heart and soul': 3,\n",
       " 'heart of gold': 2,\n",
       " 'heart to heart': 2,\n",
       " 'heavy hitter': 1,\n",
       " 'hedge your bets': 0,\n",
       " 'hell for leather': 0,\n",
       " 'high and dry': 0,\n",
       " 'high and low': 4,\n",
       " 'high and mighty': 1,\n",
       " 'high as a kite': 0,\n",
       " 'hit a nerve': 2,\n",
       " 'hit and miss': 0,\n",
       " 'hit home': 2,\n",
       " 'hit someone for six': 0,\n",
       " 'hit the bottle': 4,\n",
       " 'hit the ceiling': 0,\n",
       " 'hit the ground running': 0,\n",
       " 'hit the hay': 0,\n",
       " 'hit the headlines': 2,\n",
       " 'hit the jackpot': 2,\n",
       " 'hit the mark': 5,\n",
       " 'hit the nail on the head': 2,\n",
       " 'hit the right note': 3,\n",
       " 'hit the road': 3,\n",
       " 'hit the sack': 1,\n",
       " 'hit the skids': 1,\n",
       " 'hold all the aces': 1,\n",
       " 'hold court': 3,\n",
       " \"hold someone's hand\": 3,\n",
       " 'hold the fort': 2,\n",
       " 'hold the line': 5,\n",
       " 'hold the purse strings': 3,\n",
       " 'hold the ring': 2,\n",
       " 'hold water': 4,\n",
       " 'hold your horses': 0,\n",
       " 'hold your own': 1,\n",
       " 'hold your tongue': 0,\n",
       " 'holy of holies': 0,\n",
       " 'home and dry': 0,\n",
       " 'honours are even': 1,\n",
       " 'hook, line, and sinker': 0,\n",
       " 'hope against hope': 2,\n",
       " 'horses for courses': 0,\n",
       " 'hot air': 2,\n",
       " 'hot and bothered': 0,\n",
       " 'hot and heavy': 0,\n",
       " 'hot to trot': 0,\n",
       " 'hot under the collar': 0,\n",
       " \"how's tricks?\": 0,\n",
       " 'hum and haw': 0,\n",
       " 'in Dutch': 0,\n",
       " 'in a fog': 6,\n",
       " 'in a nutshell': 1,\n",
       " 'in a rut': 6,\n",
       " 'in apple-pie order': 0,\n",
       " 'in bed with': 1,\n",
       " 'in black and white': 0,\n",
       " 'in broad daylight': 0,\n",
       " 'in business': 5,\n",
       " 'in cahoots': 0,\n",
       " 'in cold blood': 0,\n",
       " 'in for a penny, in for a pound': 1,\n",
       " 'in full swing': 0,\n",
       " 'in high dudgeon': 1,\n",
       " 'in hot water': 3,\n",
       " 'in light of': 3,\n",
       " 'in living memory': 0,\n",
       " 'in my book': 4,\n",
       " 'in no uncertain terms': 0,\n",
       " 'in one ear and out the other': 0,\n",
       " \"in someone's pocket\": 3,\n",
       " 'in spades': 1,\n",
       " 'in stitches': 4,\n",
       " 'in tandem': 1,\n",
       " 'in the altogether': 1,\n",
       " 'in the bag': 7,\n",
       " 'in the ballpark': 1,\n",
       " 'in the black': 4,\n",
       " 'in the blink of an eye': 1,\n",
       " 'in the buff': 1,\n",
       " 'in the can': 5,\n",
       " 'in the clear': 2,\n",
       " 'in the club': 7,\n",
       " 'in the dock': 5,\n",
       " 'in the doghouse': 0,\n",
       " \"in the driver's seat\": 0,\n",
       " 'in the driving seat': 0,\n",
       " 'in the family way': 0,\n",
       " 'in the fast lane': 3,\n",
       " 'in the final analysis': 2,\n",
       " 'in the flesh': 4,\n",
       " 'in the hole': 7,\n",
       " 'in the lap of luxury': 1,\n",
       " 'in the long run': 3,\n",
       " 'in the long term': 2,\n",
       " 'in the loop': 6,\n",
       " 'in the nick of time': 1,\n",
       " 'in the offing': 1,\n",
       " 'in the pink': 4,\n",
       " 'in the pipeline': 6,\n",
       " 'in the raw': 1,\n",
       " 'in the red': 5,\n",
       " 'in the running': 2,\n",
       " 'in the saddle': 3,\n",
       " 'in the same breath': 1,\n",
       " 'in the short run': 2,\n",
       " 'in the soup': 6,\n",
       " 'in the sticks': 2,\n",
       " 'in the swim': 6,\n",
       " 'in the wink of an eye': 0,\n",
       " 'in the works': 6,\n",
       " 'in this day and age': 1,\n",
       " 'in two shakes': 0,\n",
       " 'in your blood': 0,\n",
       " 'in your dreams': 3,\n",
       " 'in your element': 0,\n",
       " 'in your face': 1,\n",
       " 'in your sights': 1,\n",
       " 'into thin air': 1,\n",
       " 'it never rains but it pours': 1,\n",
       " 'it takes two to tango': 0,\n",
       " \"it's all Greek to me\": 0,\n",
       " 'jack of all trades': 2,\n",
       " 'jam tomorrow': 1,\n",
       " 'jobs for the boys': 2,\n",
       " 'jockey for position': 0,\n",
       " 'join the club': 7,\n",
       " 'joined at the hip': 1,\n",
       " \"jump down someone's throat\": 1,\n",
       " 'jump on the bandwagon': 3,\n",
       " 'jump ship': 1,\n",
       " 'jump the gun': 1,\n",
       " 'jump the queue': 4,\n",
       " 'jump the track': 1,\n",
       " 'jump through hoops': 3,\n",
       " 'jump to conclusions': 5,\n",
       " 'keen as mustard': 0,\n",
       " 'keep a lid on': 3,\n",
       " 'keep a low profile': 3,\n",
       " 'keep a straight face': 5,\n",
       " 'keep body and soul together': 3,\n",
       " 'keep mum': 2,\n",
       " 'keep on trucking': 0,\n",
       " 'keep someone in the dark': 3,\n",
       " 'keep someone posted': 2,\n",
       " 'keep tabs on': 3,\n",
       " 'keep the peace': 4,\n",
       " 'keep the wolf from the door': 3,\n",
       " 'keep up appearances': 3,\n",
       " 'keep up with the Joneses': 2,\n",
       " 'keep your chin up': 0,\n",
       " 'keep your eye on the ball': 0,\n",
       " 'keep your eyes peeled': 0,\n",
       " 'keep your fingers crossed': 1,\n",
       " 'keep your head': 1,\n",
       " 'keep your head above water': 1,\n",
       " 'keep your nose clean': 0,\n",
       " 'keep your nose to the grindstone': 0,\n",
       " 'keep your options open': 2,\n",
       " 'keep your pecker up': 2,\n",
       " 'keep your powder dry': 0,\n",
       " 'kick against the pricks': 1,\n",
       " 'kick ass': 2,\n",
       " 'kick over the traces': 1,\n",
       " 'kick the bucket': 3,\n",
       " 'kick the habit': 6,\n",
       " 'kick up a fuss': 3,\n",
       " 'kick up a stink': 2,\n",
       " 'kick up your heels': 1,\n",
       " 'kicking and screaming': 1,\n",
       " 'kill the fatted calf': 0,\n",
       " 'kill the goose that lays the golden egg': 1,\n",
       " 'kill the goose that lays the golden eggs': 2,\n",
       " 'kill two birds with one stone': 2,\n",
       " 'king of beasts': 0,\n",
       " 'kiss and make up': 1,\n",
       " 'kiss and tell': 2,\n",
       " 'kiss ass': 2,\n",
       " 'kiss of death': 1,\n",
       " 'kiss of life': 0,\n",
       " 'kith and kin': 1,\n",
       " 'knock it off': 1,\n",
       " \"knock someone's block off\": 1,\n",
       " \"knock someone's socks off\": 1,\n",
       " 'know no bounds': 1,\n",
       " 'know the ropes': 2,\n",
       " 'know the score': 4,\n",
       " 'lame duck': 2,\n",
       " 'land of nod': 0,\n",
       " 'larger than life': 1,\n",
       " 'last hurrah': 0,\n",
       " 'laugh all the way to the bank': 2,\n",
       " 'laugh like a drain': 3,\n",
       " 'laughing stock': 0,\n",
       " 'lay a finger on': 2,\n",
       " 'lay an egg': 5,\n",
       " 'lay down the law': 2,\n",
       " 'lay eyes on': 1,\n",
       " 'lay odds': 2,\n",
       " 'lead someone up the garden path': 2,\n",
       " 'leave no stone unturned': 2,\n",
       " 'leave someone in the lurch': 3,\n",
       " 'leave well alone': 1,\n",
       " 'left and right': 1,\n",
       " 'lend a hand': 4,\n",
       " 'lend an ear': 2,\n",
       " 'let bygones be bygones': 0,\n",
       " 'let sleeping dogs lie': 0,\n",
       " 'let someone down gently': 2,\n",
       " 'let the cat out of the bag': 0,\n",
       " 'let the genie out of the bottle': 0,\n",
       " 'let your hair down': 2,\n",
       " \"let's be having you\": 0,\n",
       " 'licence to print money': 0,\n",
       " \"lick someone's boots\": 2,\n",
       " 'lie low': 2,\n",
       " 'lie through your teeth': 2,\n",
       " 'life and limb': 2,\n",
       " 'lift a finger': 2,\n",
       " 'light at the end of the tunnel': 1,\n",
       " 'like a bat out of hell': 0,\n",
       " 'like a bear with a sore head': 1,\n",
       " 'like clockwork': 0,\n",
       " 'like father, like son': 1,\n",
       " 'like peas in a pod': 3,\n",
       " 'like the clappers': 1,\n",
       " 'live a lie': 1,\n",
       " 'live and learn': 1,\n",
       " 'live and let live': 0,\n",
       " 'live in sin': 2,\n",
       " 'live it up': 2,\n",
       " 'live wire': 3,\n",
       " 'lock horns': 0,\n",
       " 'lock the stable door after the horse has bolted': 1,\n",
       " 'lone wolf': 0,\n",
       " 'long in the tooth': 0,\n",
       " 'long time no see': 0,\n",
       " 'look before you leap': 0,\n",
       " 'look on the bright side': 2,\n",
       " 'look the other way': 3,\n",
       " 'look the part': 2,\n",
       " 'lose face': 3,\n",
       " 'lose heart': 3,\n",
       " 'lose the plot': 3,\n",
       " 'lose your head': 1,\n",
       " 'lose your marbles': 1,\n",
       " 'lose your shirt': 1,\n",
       " 'lower your sights': 1,\n",
       " 'make a clean break': 3,\n",
       " 'make a go of': 2,\n",
       " 'make a killing': 5,\n",
       " 'make a meal of': 3,\n",
       " 'make a monkey of someone': 2,\n",
       " 'make a mountain out of a molehill': 1,\n",
       " 'make a move': 6,\n",
       " 'make a night of it': 0,\n",
       " \"make a pig's ear of\": 0,\n",
       " 'make a pitch': 3,\n",
       " 'make a splash': 5,\n",
       " 'make a virtue of necessity': 1,\n",
       " 'make bricks without straw': 1,\n",
       " 'make ends meet': 2,\n",
       " 'make hay': 2,\n",
       " 'make head or tail of': 1,\n",
       " 'make heavy weather of': 3,\n",
       " 'make history': 4,\n",
       " 'make it snappy': 0,\n",
       " 'make light of': 2,\n",
       " 'make light work of': 1,\n",
       " 'make money hand over fist': 1,\n",
       " 'make or break': 3,\n",
       " 'make short work of': 1,\n",
       " \"make someone's day\": 3,\n",
       " 'make the cut': 7,\n",
       " 'make the grade': 4,\n",
       " 'make tracks': 3,\n",
       " 'make waves': 3,\n",
       " 'make your blood boil': 1,\n",
       " 'make yourself scarce': 1,\n",
       " 'man and boy': 4,\n",
       " 'man of god': 2,\n",
       " 'man of straw': 2,\n",
       " 'man of the cloth': 2,\n",
       " \"man's best friend\": 0,\n",
       " 'many moons ago': 0,\n",
       " 'marching orders': 0,\n",
       " \"mark someone's card\": 2,\n",
       " 'mark time': 0,\n",
       " 'marriage of convenience': 1,\n",
       " 'mean business': 4,\n",
       " 'meat and potatoes': 2,\n",
       " 'meet someone halfway': 3,\n",
       " 'meet your Waterloo': 0,\n",
       " 'meet your maker': 0,\n",
       " 'meet your match': 1,\n",
       " 'mend fences': 2,\n",
       " 'mind over matter': 0,\n",
       " 'miss the boat': 2,\n",
       " 'moment of truth': 2,\n",
       " 'money for jam': 0,\n",
       " 'money talks': 1,\n",
       " 'more haste, less speed': 1,\n",
       " \"more's the pity\": 0,\n",
       " 'move heaven and earth': 1,\n",
       " 'move mountains': 1,\n",
       " 'move the goalposts': 4,\n",
       " 'much of a muchness': 0,\n",
       " 'muddy the waters': 1,\n",
       " \"mum's the word\": 0,\n",
       " 'mutton dressed as lamb': 0,\n",
       " 'my bad': 0,\n",
       " 'my foot!': 1,\n",
       " 'name names': 1,\n",
       " 'near the knuckle': 0,\n",
       " 'neck and neck': 0,\n",
       " 'neck of the woods': 1,\n",
       " 'neither fish nor fowl': 0,\n",
       " 'neither here nor there': 0,\n",
       " 'never say die': 0,\n",
       " 'never the twain shall meet': 0,\n",
       " 'never you mind': 0,\n",
       " 'new blood': 0,\n",
       " 'nice as pie': 0,\n",
       " 'night and day': 4,\n",
       " 'nine times out of ten': 0,\n",
       " 'nip and tuck': 0,\n",
       " 'no can do': 1,\n",
       " 'no dice': 0,\n",
       " 'no great shakes': 0,\n",
       " 'no holds barred': 0,\n",
       " 'no laughing matter': 0,\n",
       " \"no man's land\": 0,\n",
       " 'no peace for the wicked': 0,\n",
       " 'no questions asked': 0,\n",
       " 'no rest for the wicked': 0,\n",
       " 'no smoke without fire': 0,\n",
       " 'no spring chicken': 0,\n",
       " 'no strings attached': 0,\n",
       " 'no sweat': 1,\n",
       " 'no time like the present': 0,\n",
       " 'no two ways about it': 0,\n",
       " 'not a pretty sight': 1,\n",
       " 'not all there': 0,\n",
       " 'not bat an eye': 0,\n",
       " 'not cricket': 0,\n",
       " 'not give a fig': 1,\n",
       " 'not just a pretty face': 0,\n",
       " ...}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find all the PIEs and number of variation kinds\n",
    "df_tmp = df_magpie_raw[['idiom', 'variant_type']]\n",
    "idiom_phrase_variation_counts = {}\n",
    "\n",
    "for idiom,df_grp in df_tmp.groupby('idiom', as_index=False):\n",
    "    var_types = set(df_grp['variant_type'].unique())\n",
    "    # If there are no variations other than identical_types\n",
    "    variations = var_types - identical_types\n",
    "    if len(variations) == 0:\n",
    "        # This idiom has only exact matches\n",
    "        idiom_phrase_variation_counts[idiom] = 0 # 0 variation\n",
    "    else:\n",
    "        # This idiom has variations\n",
    "        idiom_phrase_variation_counts[idiom] = len(variations) # Number of variations\n",
    "\n",
    "# PIEs with their variation counts\n",
    "idiom_phrase_variation_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "416834be",
   "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>idiom</th>\n",
       "      <th>idiom_token</th>\n",
       "      <th>variations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>off the beaten track</td>\n",
       "      <td>IDoffthebeatentrackID</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>in the running</td>\n",
       "      <td>IDintherunningID</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>give someone the creeps</td>\n",
       "      <td>IDgivesomeonethecreepsID</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>do someone proud</td>\n",
       "      <td>IDdosomeoneproudID</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>take root</td>\n",
       "      <td>IDtakerootID</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1733</th>\n",
       "      <td>there's no fool like an old fool</td>\n",
       "      <td>IDtheresnofoollikeanoldfoolID</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1734</th>\n",
       "      <td>top banana</td>\n",
       "      <td>IDtopbananaID</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1735</th>\n",
       "      <td>all dressed up and nowhere to go</td>\n",
       "      <td>IDalldressedupandnowheretogoID</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1736</th>\n",
       "      <td>keep your nose clean</td>\n",
       "      <td>IDkeepyournosecleanID</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1737</th>\n",
       "      <td>ring off the hook</td>\n",
       "      <td>IDringoffthehookID</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1738 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 idiom                     idiom_token  \\\n",
       "0                 off the beaten track           IDoffthebeatentrackID   \n",
       "1                       in the running                IDintherunningID   \n",
       "2              give someone the creeps        IDgivesomeonethecreepsID   \n",
       "3                     do someone proud              IDdosomeoneproudID   \n",
       "4                            take root                    IDtakerootID   \n",
       "...                                ...                             ...   \n",
       "1733  there's no fool like an old fool   IDtheresnofoollikeanoldfoolID   \n",
       "1734                        top banana                   IDtopbananaID   \n",
       "1735  all dressed up and nowhere to go  IDalldressedupandnowheretogoID   \n",
       "1736              keep your nose clean           IDkeepyournosecleanID   \n",
       "1737                 ring off the hook              IDringoffthehookID   \n",
       "\n",
       "      variations  \n",
       "0              2  \n",
       "1              2  \n",
       "2              2  \n",
       "3              3  \n",
       "4              3  \n",
       "...          ...  \n",
       "1733           0  \n",
       "1734           0  \n",
       "1735           0  \n",
       "1736           0  \n",
       "1737           1  \n",
       "\n",
       "[1738 rows x 3 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge the idiom_phrase_variation_counts with PIE tokens using df_token_mapping\n",
    "df_pie_exact_match_status = df_token_mapping.copy()\n",
    "df_pie_exact_match_status['variations'] = df_pie_exact_match_status['idiom'].map(idiom_phrase_variation_counts)\n",
    "df_pie_exact_match_status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3140f207",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "2c7c0ef2",
   "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>variations</th>\n",
       "      <th>num_of_sentences</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>56662.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>43101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>65587.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>39041.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>36287.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>43400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>17767.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>14589.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   variations  num_of_sentences\n",
       "0           0           56662.0\n",
       "1           1           43101.0\n",
       "2           2           65587.0\n",
       "3           3           39041.0\n",
       "4           4           36287.0\n",
       "5           5           43400.0\n",
       "6           6           17767.0\n",
       "7           7           14589.0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the total number of CC news sentences per each category of 'number of variations'\n",
    "# This should answer the question: are PIEs with no morphology occure less frequently?\n",
    "left_df = df_pie_exact_match_status[['idiom_token', 'variations']]\n",
    "right_df = df_ccnews_pie_counts[['idiom_token', 'num_of_sentences']]\n",
    "df_merged = pd.merge(left_df, right_df, on='idiom_token', how='left')\n",
    "# Fill NaN with 0\n",
    "df_merged['num_of_sentences'] = df_merged['num_of_sentences'].map(lambda num: 0 if np.isnan(num) else num)\n",
    "df_sum_of_sents = df_merged.groupby('variations', as_index=False)['num_of_sentences'].sum()\n",
    "df_sum_of_sents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "149c7c64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0': 56662.0,\n",
       " '1': 43101.0,\n",
       " '2': 65587.0,\n",
       " '3': 39041.0,\n",
       " '4': 36287.0,\n",
       " '5': 43400.0,\n",
       " '6': 17767.0,\n",
       " '7': 14589.0}"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "variations_total_sents_dict = {d['variations']:d['num_of_sentences'] for d in df_sum_of_sents.to_dict(orient='records')}\n",
    "variations_total_sents_dict = {str(k):v for k,v in variations_total_sents_dict.items()}\n",
    "variations_total_sents_dict\n",
    "# df_sum_of_sents['num_of_sentences'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ca65753",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4643d6c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the number of PIEs with number of variations seen in MAGPIE corpus\n",
    "df_pie_variation_counts = df_pie_exact_match_status.groupby('variations', as_index=False)['idiom'].count()\n",
    "df_pie_variation_counts = df_pie_variation_counts.rename(columns={'idiom':'num_of_pies'})\n",
    "df_pie_variation_counts['variations'] = df_pie_variation_counts['variations'].map(lambda v: str(v))\n",
    "pie_var_count_dict = {r['variations']:r['num_of_pies'] for r in df_pie_variation_counts.to_dict(orient='records')}\n",
    "\n",
    "x_labels = sorted(pie_var_count_dict.keys())\n",
    "y_vals = [variations_total_sents_dict[x] for x in x_labels]\n",
    "y_heads = [pie_var_count_dict[x] for x in x_labels]\n",
    "y_heads = [f\"{pc} PIEs\" for pc in y_heads]\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "ax= sns.barplot(x=x_labels, y=y_vals, palette=\"Set2\")\n",
    "\n",
    "# Display the actual numbers on the bars\n",
    "for x_tick,(val, head) in enumerate(zip(y_vals, y_heads)):\n",
    "    ax.text(x_tick, val+500, head, color='green', ha='center')\n",
    "\n",
    "plt.xlabel('Number of morphological variations per PIE')\n",
    "\n",
    "plt.ylabel('Number of Example Sentences')\n",
    "plt.title(\"Number of Sentences with number of morphological variations\")\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef2ba834",
   "metadata": {},
   "source": [
    "### Output\n",
    "\n",
    "Using 1(inclusive) to 4(inclusie) morphological variations as **moderately morphology**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2c23115d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'IDoffthebeatentrackID': 'moderate_morphology',\n",
       " 'IDintherunningID': 'moderate_morphology',\n",
       " 'IDgivesomeonethecreepsID': 'moderate_morphology',\n",
       " 'IDdosomeoneproudID': 'moderate_morphology',\n",
       " 'IDtakerootID': 'moderate_morphology',\n",
       " 'IDcleanhouseID': 'moderate_morphology',\n",
       " 'IDmakehistoryID': 'high_morphology',\n",
       " 'IDgoallthewayID': 'high_morphology',\n",
       " 'IDchapterandverseID': 'moderate_morphology',\n",
       " 'IDbreakthebankID': 'moderate_morphology',\n",
       " 'IDheadforthehillsID': 'moderate_morphology',\n",
       " 'IDinafogID': 'high_morphology',\n",
       " 'IDbringuptherearID': 'moderate_morphology',\n",
       " 'IDintheholeID': 'high_morphology',\n",
       " 'IDtruetoformID': 'no_morphology',\n",
       " 'IDragstorichesID': 'no_morphology',\n",
       " 'IDontheballID': 'high_morphology',\n",
       " 'IDstakeaclaimID': 'high_morphology',\n",
       " 'IDupforgrabsID': 'moderate_morphology',\n",
       " 'IDupandrunningID': 'no_morphology',\n",
       " 'IDbehindbarsID': 'high_morphology',\n",
       " 'IDinmybookID': 'high_morphology',\n",
       " 'IDinblackandwhiteID': 'no_morphology',\n",
       " 'IDgoupinsmokeID': 'moderate_morphology',\n",
       " 'IDuptheriverID': 'high_morphology',\n",
       " 'IDmakeyourbloodboilID': 'moderate_morphology',\n",
       " 'IDrubshouldersID': 'moderate_morphology',\n",
       " 'IDgospareID': 'moderate_morphology',\n",
       " 'IDforcryingoutloudID': 'no_morphology',\n",
       " 'IDspotonID': 'high_morphology',\n",
       " 'IDnotcricketID': 'no_morphology',\n",
       " 'IDintheclubID': 'high_morphology',\n",
       " 'IDundertheweatherID': 'no_morphology',\n",
       " 'IDactofgodID': 'moderate_morphology',\n",
       " 'IDplaywithfireID': 'moderate_morphology',\n",
       " 'IDringabellID': 'high_morphology',\n",
       " 'IDputthebootinID': 'moderate_morphology',\n",
       " 'IDsmallbeerID': 'no_morphology',\n",
       " 'IDturnablindeyeID': 'high_morphology',\n",
       " 'IDintheblackID': 'high_morphology',\n",
       " 'IDonthenoseID': 'high_morphology',\n",
       " 'IDrankandfileID': 'moderate_morphology',\n",
       " 'IDbreaksomeonesheartID': 'moderate_morphology',\n",
       " 'IDpointthefingerID': 'high_morphology',\n",
       " 'IDoffandonID': 'moderate_morphology',\n",
       " 'IDgototownID': 'high_morphology',\n",
       " 'IDoneofthosethingsID': 'moderate_morphology',\n",
       " 'IDkeepthepeaceID': 'high_morphology',\n",
       " 'IDbydintofID': 'no_morphology',\n",
       " 'IDmakelightofID': 'moderate_morphology',\n",
       " 'IDoutofkilterID': 'no_morphology',\n",
       " 'IDgettogripswithID': 'moderate_morphology',\n",
       " 'IDpresenceofmindID': 'no_morphology',\n",
       " 'IDflytheflagID': 'high_morphology',\n",
       " 'IDoverthehillID': 'high_morphology',\n",
       " 'IDgrindtoahaltID': 'moderate_morphology',\n",
       " 'IDcutthecrapID': 'moderate_morphology',\n",
       " 'IDnolaughingmatterID': 'no_morphology',\n",
       " 'IDgreenlightID': 'high_morphology',\n",
       " 'IDbythesametokenID': 'moderate_morphology',\n",
       " 'IDtotheboneID': 'high_morphology',\n",
       " 'IDacrosstheboardID': 'high_morphology',\n",
       " 'IDdigdeepID': 'high_morphology',\n",
       " 'IDletbygonesbebygonesID': 'no_morphology',\n",
       " 'IDhaveaheartID': 'high_morphology',\n",
       " 'IDeverymanforhimselfID': 'no_morphology',\n",
       " 'IDfollowsuitID': 'moderate_morphology',\n",
       " 'IDpartcompanyID': 'moderate_morphology',\n",
       " 'IDdishthedirtID': 'moderate_morphology',\n",
       " 'IDholdwaterID': 'high_morphology',\n",
       " 'IDcomeofageID': 'moderate_morphology',\n",
       " 'IDonthebuttonID': 'high_morphology',\n",
       " 'IDraisetheroofID': 'moderate_morphology',\n",
       " 'IDgetalifeID': 'high_morphology',\n",
       " 'IDdeadmeatID': 'no_morphology',\n",
       " 'IDbendsomeonesearID': 'moderate_morphology',\n",
       " 'IDbearinmindID': 'high_morphology',\n",
       " 'IDopensomeoneseyesID': 'moderate_morphology',\n",
       " 'IDleftandrightID': 'moderate_morphology',\n",
       " 'IDfallshortID': 'moderate_morphology',\n",
       " 'IDseenbetterdaysID': 'no_morphology',\n",
       " 'IDfunandgamesID': 'moderate_morphology',\n",
       " 'IDsealofapprovalID': 'moderate_morphology',\n",
       " 'IDwithawillID': 'high_morphology',\n",
       " 'IDoverthecounterID': 'moderate_morphology',\n",
       " 'IDpaintthetownredID': 'moderate_morphology',\n",
       " 'IDintheshortrunID': 'moderate_morphology',\n",
       " 'IDgetagripID': 'high_morphology',\n",
       " 'IDinfullswingID': 'no_morphology',\n",
       " 'IDunderfireID': 'moderate_morphology',\n",
       " 'IDholdcourtID': 'moderate_morphology',\n",
       " 'IDtakeadiveID': 'moderate_morphology',\n",
       " 'IDsignofthetimesID': 'high_morphology',\n",
       " 'IDontheskidsID': 'moderate_morphology',\n",
       " 'IDneckandneckID': 'no_morphology',\n",
       " 'IDoutofthequestionID': 'moderate_morphology',\n",
       " 'IDunderthemicroscopeID': 'high_morphology',\n",
       " 'IDattheendofthedayID': 'high_morphology',\n",
       " 'IDeasyaspieID': 'moderate_morphology',\n",
       " 'IDinthefleshID': 'high_morphology',\n",
       " 'IDlaydownthelawID': 'moderate_morphology',\n",
       " 'IDcometotermswithID': 'moderate_morphology',\n",
       " 'IDtosaytheleastID': 'no_morphology',\n",
       " 'IDwalkoflifeID': 'moderate_morphology',\n",
       " 'IDbehindsomeonesbackID': 'moderate_morphology',\n",
       " 'IDdoomandgloomID': 'no_morphology',\n",
       " 'IDonthesideoftheangelsID': 'no_morphology',\n",
       " 'IDputthewindupID': 'no_morphology',\n",
       " 'IDpushtheenvelopeID': 'moderate_morphology',\n",
       " 'IDcoginthemachineID': 'moderate_morphology',\n",
       " 'IDforgoodmeasureID': 'no_morphology',\n",
       " 'IDfromscratchID': 'moderate_morphology',\n",
       " 'IDslowburnID': 'moderate_morphology',\n",
       " 'IDwithaviewtoID': 'moderate_morphology',\n",
       " 'IDchaseyourtailID': 'moderate_morphology',\n",
       " 'IDeyeballtoeyeballID': 'no_morphology',\n",
       " 'IDnoquestionsaskedID': 'no_morphology',\n",
       " 'IDcatchfireID': 'moderate_morphology',\n",
       " 'IDinhotwaterID': 'moderate_morphology',\n",
       " 'IDkissoflifeID': 'no_morphology',\n",
       " 'IDonthemoneyID': 'high_morphology',\n",
       " 'IDthinktwiceID': 'moderate_morphology',\n",
       " 'IDontheropesID': 'high_morphology',\n",
       " 'IDpissandvinegarID': 'no_morphology',\n",
       " 'IDturnthecornerID': 'high_morphology',\n",
       " 'IDnoholdsbarredID': 'no_morphology',\n",
       " 'IDoddsandendsID': 'no_morphology',\n",
       " 'IDhardcheeseID': 'moderate_morphology',\n",
       " 'IDcrystalclearID': 'no_morphology',\n",
       " 'IDonthehouseID': 'high_morphology',\n",
       " 'IDinthelongtermID': 'moderate_morphology',\n",
       " 'IDunderthetableID': 'high_morphology',\n",
       " 'IDplayfortimeID': 'moderate_morphology',\n",
       " 'IDkeepalowprofileID': 'moderate_morphology',\n",
       " 'IDtellitlikeitisID': 'moderate_morphology',\n",
       " 'IDcutthemustardID': 'moderate_morphology',\n",
       " 'IDfallintoplaceID': 'moderate_morphology',\n",
       " 'IDalltherageID': 'moderate_morphology',\n",
       " 'IDroundtheclockID': 'moderate_morphology',\n",
       " 'IDcutcornersID': 'high_morphology',\n",
       " 'IDtouchandgoID': 'moderate_morphology',\n",
       " 'IDmakeendsmeetID': 'moderate_morphology',\n",
       " 'IDlielowID': 'moderate_morphology',\n",
       " 'IDquickasaflashID': 'moderate_morphology',\n",
       " 'IDgetthepictureID': 'high_morphology',\n",
       " 'IDnutsandboltsID': 'moderate_morphology',\n",
       " 'IDoutoflineID': 'high_morphology',\n",
       " 'IDmanofgodID': 'moderate_morphology',\n",
       " 'IDjumpthegunID': 'moderate_morphology',\n",
       " 'IDcountsheepID': 'moderate_morphology',\n",
       " 'IDnothingtoitID': 'no_morphology',\n",
       " 'IDsingthepraisesofID': 'moderate_morphology',\n",
       " 'IDgetthenodID': 'moderate_morphology',\n",
       " 'IDatseaID': 'moderate_morphology',\n",
       " 'IDinlightofID': 'moderate_morphology',\n",
       " 'IDoutofthisworldID': 'moderate_morphology',\n",
       " 'IDwateringholeID': 'moderate_morphology',\n",
       " 'IDcomecleanID': 'moderate_morphology',\n",
       " 'IDwithavengeanceID': 'moderate_morphology',\n",
       " 'IDcallitadayID': 'moderate_morphology',\n",
       " 'IDturnsomeonesheadID': 'moderate_morphology',\n",
       " 'IDplaygamesID': 'high_morphology',\n",
       " 'IDdothetrickID': 'high_morphology',\n",
       " 'IDspendapennyID': 'moderate_morphology',\n",
       " 'IDmeanbusinessID': 'high_morphology',\n",
       " 'IDpullafaceID': 'high_morphology',\n",
       " 'IDinthefinalanalysisID': 'moderate_morphology',\n",
       " 'IDonthehornID': 'high_morphology',\n",
       " 'IDrubsomeoneupthewrongwayID': 'moderate_morphology',\n",
       " 'IDontherocksID': 'high_morphology',\n",
       " 'IDknockitoffID': 'moderate_morphology',\n",
       " 'IDwritlargeID': 'no_morphology',\n",
       " 'IDonedgeID': 'high_morphology',\n",
       " 'IDmarksomeonescardID': 'moderate_morphology',\n",
       " 'IDatthecrossroadsID': 'high_morphology',\n",
       " 'IDdownandoutID': 'moderate_morphology',\n",
       " 'IDbythebookID': 'high_morphology',\n",
       " 'IDontheshelfID': 'high_morphology',\n",
       " 'IDinthelongrunID': 'moderate_morphology',\n",
       " 'IDgameonID': 'moderate_morphology',\n",
       " 'IDgivesomeonetheeyeID': 'moderate_morphology',\n",
       " 'IDpissedoffID': 'no_morphology',\n",
       " 'IDbearfruitID': 'moderate_morphology',\n",
       " 'IDbeataboutthebushID': 'moderate_morphology',\n",
       " 'IDfoamatthemouthID': 'moderate_morphology',\n",
       " 'IDtwistsomeonesarmID': 'moderate_morphology',\n",
       " 'IDsitonthefenceID': 'high_morphology',\n",
       " 'IDonarollID': 'high_morphology',\n",
       " 'IDbehindcloseddoorsID': 'moderate_morphology',\n",
       " 'IDpleasedaspunchID': 'no_morphology',\n",
       " 'IDsavethedayID': 'moderate_morphology',\n",
       " 'IDfightshyofID': 'moderate_morphology',\n",
       " 'IDcutnoiceID': 'moderate_morphology',\n",
       " 'IDnodiceID': 'no_morphology',\n",
       " 'IDlayoddsID': 'moderate_morphology',\n",
       " 'IDfreereinID': 'no_morphology',\n",
       " 'IDcomeunstuckID': 'moderate_morphology',\n",
       " 'IDthickandfastID': 'no_morphology',\n",
       " 'IDonpaperID': 'high_morphology',\n",
       " 'IDinthedrivingseatID': 'no_morphology',\n",
       " 'IDgetlostID': 'high_morphology',\n",
       " 'IDcatchacoldID': 'high_morphology',\n",
       " 'IDinsomeonespocketID': 'moderate_morphology',\n",
       " 'IDoverthemoonID': 'no_morphology',\n",
       " 'IDgowithoutsayingID': 'moderate_morphology',\n",
       " 'IDtakethelibertyID': 'moderate_morphology',\n",
       " 'IDgetstuckinID': 'moderate_morphology',\n",
       " 'IDscreambluemurderID': 'moderate_morphology',\n",
       " 'IDmakethecutID': 'high_morphology',\n",
       " 'IDinthecanID': 'high_morphology',\n",
       " 'IDtakeitfrommeID': 'moderate_morphology',\n",
       " 'IDmakeasplashID': 'high_morphology',\n",
       " 'IDpeckingorderID': 'moderate_morphology',\n",
       " 'IDfallbythewaysideID': 'moderate_morphology',\n",
       " 'IDmakethegradeID': 'high_morphology',\n",
       " 'IDtothetuneofID': 'moderate_morphology',\n",
       " 'IDstandsomeoneingoodsteadID': 'moderate_morphology',\n",
       " 'IDhittherightnoteID': 'moderate_morphology',\n",
       " 'IDspringtomindID': 'moderate_morphology',\n",
       " 'IDcarrotandstickID': 'high_morphology',\n",
       " 'IDonthecarpetID': 'high_morphology',\n",
       " 'IDtakesomeoneswordforitID': 'moderate_morphology',\n",
       " 'IDbelowparID': 'moderate_morphology',\n",
       " 'IDonthespurofthemomentID': 'no_morphology',\n",
       " 'IDonthefaceofitID': 'no_morphology',\n",
       " 'IDpickupthetabID': 'high_morphology',\n",
       " 'IDaroundtheclockID': 'moderate_morphology',\n",
       " 'IDeconomicalwiththetruthID': 'no_morphology',\n",
       " 'IDsteponitID': 'moderate_morphology',\n",
       " 'IDbuytimeID': 'high_morphology',\n",
       " 'IDputpaidtoID': 'moderate_morphology',\n",
       " 'IDthegrassisalwaysgreenerID': 'moderate_morphology',\n",
       " 'IDtothehiltID': 'moderate_morphology',\n",
       " 'IDonthegameID': 'high_morphology',\n",
       " 'IDhotairID': 'moderate_morphology',\n",
       " 'IDonboardID': 'high_morphology',\n",
       " 'IDloseheartID': 'moderate_morphology',\n",
       " 'IDslipperyslopeID': 'moderate_morphology',\n",
       " 'IDwalkfreeID': 'moderate_morphology',\n",
       " 'IDchangeyourtuneID': 'moderate_morphology',\n",
       " 'IDallandsundryID': 'no_morphology',\n",
       " 'IDjumpthroughhoopsID': 'moderate_morphology',\n",
       " 'IDouttolunchID': 'moderate_morphology',\n",
       " 'IDfromragstorichesID': 'no_morphology',\n",
       " 'IDinnouncertaintermsID': 'no_morphology',\n",
       " 'IDhearthingsID': 'high_morphology',\n",
       " 'IDonthebackofID': 'moderate_morphology',\n",
       " 'IDtwisttheknifeID': 'moderate_morphology',\n",
       " 'IDonceinawhileID': 'no_morphology',\n",
       " 'IDallalongID': 'no_morphology',\n",
       " 'IDblowhotandcoldID': 'moderate_morphology',\n",
       " 'IDaheadofthegameID': 'moderate_morphology',\n",
       " 'IDgotothewallID': 'moderate_morphology',\n",
       " 'IDsleeproughID': 'moderate_morphology',\n",
       " 'IDcatchsomeoneseyeID': 'moderate_morphology',\n",
       " 'IDgothroughthemotionsID': 'moderate_morphology',\n",
       " 'IDoneandthesameID': 'no_morphology',\n",
       " 'IDoilandwaterID': 'moderate_morphology',\n",
       " 'IDforcesomeoneshandID': 'moderate_morphology',\n",
       " 'IDforkeepsID': 'moderate_morphology',\n",
       " 'IDpureandsimpleID': 'moderate_morphology',\n",
       " 'IDroundthebendID': 'high_morphology',\n",
       " 'IDnewbloodID': 'no_morphology',\n",
       " 'IDyesandnoID': 'moderate_morphology',\n",
       " 'IDreadbetweenthelinesID': 'moderate_morphology',\n",
       " 'IDgetamoveonID': 'moderate_morphology',\n",
       " 'IDsteerclearofID': 'moderate_morphology',\n",
       " 'IDleadsomeoneupthegardenpathID': 'moderate_morphology',\n",
       " 'IDbreaknewgroundID': 'moderate_morphology',\n",
       " 'IDonceandforallID': 'moderate_morphology',\n",
       " 'IDasaruleID': 'high_morphology',\n",
       " 'IDofftheshelfID': 'high_morphology',\n",
       " 'IDanyonesguessID': 'no_morphology',\n",
       " 'IDdyedinthewoolID': 'moderate_morphology',\n",
       " 'IDmanandboyID': 'high_morphology',\n",
       " 'IDpullstringsID': 'high_morphology',\n",
       " 'IDchewthefatID': 'moderate_morphology',\n",
       " 'IDoveryourheadID': 'moderate_morphology',\n",
       " 'IDforthetimebeingID': 'moderate_morphology',\n",
       " 'IDlicencetoprintmoneyID': 'no_morphology',\n",
       " 'IDwaterunderthebridgeID': 'moderate_morphology',\n",
       " 'IDtakeadimviewofID': 'moderate_morphology',\n",
       " 'IDmakeamoveID': 'high_morphology',\n",
       " 'IDforasongID': 'high_morphology',\n",
       " 'IDthejokeisonsomeoneID': 'moderate_morphology',\n",
       " 'IDhandsdownID': 'moderate_morphology',\n",
       " 'IDhitthebottleID': 'high_morphology',\n",
       " 'IDinthedockID': 'high_morphology',\n",
       " 'IDoffthewallID': 'high_morphology',\n",
       " 'IDmeatandpotatoesID': 'moderate_morphology',\n",
       " 'IDgooverboardID': 'moderate_morphology',\n",
       " 'IDjumptoconclusionsID': 'high_morphology',\n",
       " 'IDallinadaysworkID': 'no_morphology',\n",
       " 'IDinthebuffID': 'moderate_morphology',\n",
       " 'IDintheclearID': 'moderate_morphology',\n",
       " 'IDinstitchesID': 'high_morphology',\n",
       " 'IDstateoftheartID': 'moderate_morphology',\n",
       " 'IDdryasdustID': 'no_morphology',\n",
       " 'IDintheoffingID': 'moderate_morphology',\n",
       " 'IDallovertheplaceID': 'moderate_morphology',\n",
       " 'IDputtwoandtwotogetherID': 'moderate_morphology',\n",
       " 'IDworkwondersID': 'moderate_morphology',\n",
       " 'IDsickandtiredID': 'no_morphology',\n",
       " 'IDjointheclubID': 'high_morphology',\n",
       " 'IDlayaneggID': 'high_morphology',\n",
       " 'IDatasnailspaceID': 'no_morphology',\n",
       " 'IDtitfortatID': 'moderate_morphology',\n",
       " 'IDwetbehindtheearsID': 'no_morphology',\n",
       " 'IDgohandinhandID': 'high_morphology',\n",
       " 'IDdressedtokillID': 'moderate_morphology',\n",
       " 'IDoffthemarkID': 'moderate_morphology',\n",
       " 'IDeverylastID': 'no_morphology',\n",
       " 'IDcometomindID': 'moderate_morphology',\n",
       " 'IDseteyesonID': 'moderate_morphology',\n",
       " 'IDsinkorswimID': 'moderate_morphology',\n",
       " 'IDoutoforderID': 'moderate_morphology',\n",
       " 'IDshowalegID': 'moderate_morphology',\n",
       " 'IDplayhardtogetID': 'moderate_morphology',\n",
       " 'IDdonkeyworkID': 'moderate_morphology',\n",
       " 'IDgopublicID': 'moderate_morphology',\n",
       " 'IDoutoftheblueID': 'moderate_morphology',\n",
       " 'IDtakestockID': 'high_morphology',\n",
       " 'IDahairsbreadthID': 'no_morphology',\n",
       " 'IDgetupsomeonesnoseID': 'moderate_morphology',\n",
       " 'IDoldhatID': 'high_morphology',\n",
       " 'IDyoungbloodID': 'moderate_morphology',\n",
       " 'IDoutandaboutID': 'no_morphology',\n",
       " 'IDinanutshellID': 'moderate_morphology',\n",
       " 'IDgrinlikeacheshirecatID': 'no_morphology',\n",
       " 'IDunderacloudID': 'moderate_morphology',\n",
       " 'IDblazeatrailID': 'moderate_morphology',\n",
       " 'IDuptonogoodID': 'no_morphology',\n",
       " 'IDopenthefloodgatesID': 'moderate_morphology',\n",
       " 'IDscratchthesurfaceID': 'moderate_morphology',\n",
       " 'IDrunamokID': 'moderate_morphology',\n",
       " 'IDrisetotheoccasionID': 'high_morphology',\n",
       " 'IDundertheinfluenceID': 'high_morphology',\n",
       " 'IDbodyblowID': 'moderate_morphology',\n",
       " 'IDtakeheartID': 'moderate_morphology',\n",
       " 'IDseestarsID': 'high_morphology',\n",
       " 'IDkeepyourpeckerupID': 'moderate_morphology',\n",
       " 'IDturnsomethingonitsheadID': 'moderate_morphology',\n",
       " 'IDatalooseendID': 'no_morphology',\n",
       " 'IDaboveparID': 'no_morphology',\n",
       " 'IDtakethepissID': 'moderate_morphology',\n",
       " 'IDonthewarpathID': 'no_morphology',\n",
       " 'IDhavekittensID': 'moderate_morphology',\n",
       " 'IDcometothinkofitID': 'moderate_morphology',\n",
       " 'IDsonganddanceID': 'moderate_morphology',\n",
       " 'IDgoitaloneID': 'moderate_morphology',\n",
       " 'IDsecondnatureID': 'no_morphology',\n",
       " 'IDnomanslandID': 'no_morphology',\n",
       " 'IDblackandblueID': 'moderate_morphology',\n",
       " 'IDatastretchID': 'high_morphology',\n",
       " 'IDtriedandtrueID': 'no_morphology',\n",
       " 'IDontheblinkID': 'no_morphology',\n",
       " 'IDonthemendID': 'moderate_morphology',\n",
       " 'IDastheactresssaidtothebishopID': 'no_morphology',\n",
       " 'IDtoallintentsandpurposesID': 'moderate_morphology',\n",
       " 'IDcrossswordsID': 'moderate_morphology',\n",
       " 'IDservesomeonerightID': 'moderate_morphology',\n",
       " 'IDbegthequestionID': 'high_morphology',\n",
       " 'IDrunamileID': 'high_morphology',\n",
       " 'IDgostraightID': 'moderate_morphology',\n",
       " 'IDtakesomeoneforarideID': 'moderate_morphology',\n",
       " 'IDagainstthegrainID': 'high_morphology',\n",
       " 'IDinthebagID': 'high_morphology',\n",
       " 'IDfreeandeasyID': 'no_morphology',\n",
       " 'IDoutcoldID': 'no_morphology',\n",
       " 'IDbitethebulletID': 'moderate_morphology',\n",
       " 'IDrideroughshodoverID': 'moderate_morphology',\n",
       " 'IDinspadesID': 'moderate_morphology',\n",
       " 'IDliveandlearnID': 'moderate_morphology',\n",
       " 'IDgettothebottomofID': 'high_morphology',\n",
       " 'IDwatchthisspaceID': 'no_morphology',\n",
       " 'IDdowninthemouthID': 'no_morphology',\n",
       " 'IDgetstuckintoID': 'moderate_morphology',\n",
       " 'IDhairofthedogID': 'no_morphology',\n",
       " 'IDshortshriftID': 'no_morphology',\n",
       " 'IDsteponsomeonestoesID': 'moderate_morphology',\n",
       " 'IDclosecallID': 'moderate_morphology',\n",
       " 'IDworktoruleID': 'no_morphology',\n",
       " 'IDsweetnessandlightID': 'no_morphology',\n",
       " 'IDturnheadsID': 'moderate_morphology',\n",
       " 'IDkeepsomeoneinthedarkID': 'moderate_morphology',\n",
       " 'IDholdsomeoneshandID': 'moderate_morphology',\n",
       " 'IDbacktosquareoneID': 'no_morphology',\n",
       " 'IDkillthegoosethatlaysthegoldeneggID': 'moderate_morphology',\n",
       " 'IDcalltheshotsID': 'high_morphology',\n",
       " 'IDoffthehookID': 'high_morphology',\n",
       " 'IDonthesquareID': 'high_morphology',\n",
       " 'IDthickasthievesID': 'no_morphology',\n",
       " 'IDwordofmouthID': 'moderate_morphology',\n",
       " 'IDfallondeafearsID': 'moderate_morphology',\n",
       " 'IDcutbothwaysID': 'moderate_morphology',\n",
       " 'IDoutofthewoodsID': 'high_morphology',\n",
       " 'IDbyhookorbycrookID': 'no_morphology',\n",
       " 'IDrockbottomID': 'no_morphology',\n",
       " 'IDofftherecordID': 'high_morphology',\n",
       " 'IDoutofpocketID': 'high_morphology',\n",
       " 'IDgofromstrengthtostrengthID': 'moderate_morphology',\n",
       " 'IDinthisdayandageID': 'moderate_morphology',\n",
       " 'IDeatlikeahorseID': 'moderate_morphology',\n",
       " 'IDatcrosspurposesID': 'no_morphology',\n",
       " 'IDintheredID': 'high_morphology',\n",
       " 'IDtotheletterID': 'high_morphology',\n",
       " 'IDonsomeonesmindID': 'moderate_morphology',\n",
       " 'IDintandemID': 'moderate_morphology',\n",
       " 'IDfighttoothandnailID': 'high_morphology',\n",
       " 'IDwideofthemarkID': 'moderate_morphology',\n",
       " 'IDupintheairID': 'moderate_morphology',\n",
       " 'IDchangehandsID': 'moderate_morphology',\n",
       " 'IDwipethefloorwithID': 'moderate_morphology',\n",
       " 'IDroughedgesID': 'moderate_morphology',\n",
       " 'IDoneofthosedaysID': 'moderate_morphology',\n",
       " 'IDbitethedustID': 'moderate_morphology',\n",
       " 'IDcometogripswithID': 'moderate_morphology',\n",
       " 'IDpieintheskyID': 'no_morphology',\n",
       " 'IDlayeyesonID': 'moderate_morphology',\n",
       " 'IDdoanumberonID': 'moderate_morphology',\n",
       " 'IDanythinggoesID': 'moderate_morphology',\n",
       " 'IDpulloutallthestopsID': 'moderate_morphology',\n",
       " 'IDatapinchID': 'no_morphology',\n",
       " 'IDlameduckID': 'moderate_morphology',\n",
       " 'IDinbroaddaylightID': 'no_morphology',\n",
       " 'IDinbedwithID': 'moderate_morphology',\n",
       " 'IDgobananasID': 'moderate_morphology',\n",
       " 'IDoutoftheboxID': 'high_morphology',\n",
       " 'IDfromthewordgoID': 'moderate_morphology',\n",
       " 'IDwinthedayID': 'moderate_morphology',\n",
       " 'IDroughandreadyID': 'no_morphology',\n",
       " 'IDtoobigforyourbootsID': 'no_morphology',\n",
       " 'IDhaveaballID': 'high_morphology',\n",
       " 'IDcastyourmindbackID': 'moderate_morphology',\n",
       " 'IDonthecardsID': 'high_morphology',\n",
       " 'IDkeepalidonID': 'moderate_morphology',\n",
       " 'IDsureaseggsiseggsID': 'moderate_morphology',\n",
       " 'IDbiteyourtongueID': 'moderate_morphology',\n",
       " 'IDfacetofaceID': 'moderate_morphology',\n",
       " 'IDboyswillbeboysID': 'no_morphology',\n",
       " 'IDsquarethecircleID': 'moderate_morphology',\n",
       " 'IDtoaturnID': 'high_morphology',\n",
       " 'IDfewandfarbetweenID': 'no_morphology',\n",
       " 'IDheadsouthID': 'moderate_morphology',\n",
       " 'IDkickthehabitID': 'high_morphology',\n",
       " 'IDdrawablankID': 'moderate_morphology',\n",
       " 'IDgreatmindsthinkalikeID': 'moderate_morphology',\n",
       " 'IDfarandawayID': 'no_morphology',\n",
       " 'IDgothedistanceID': 'high_morphology',\n",
       " 'IDkeepupappearancesID': 'moderate_morphology',\n",
       " 'IDsweeptheboardID': 'moderate_morphology',\n",
       " 'IDsettleascoreID': 'high_morphology',\n",
       " 'IDjumponthebandwagonID': 'moderate_morphology',\n",
       " 'IDinthesaddleID': 'moderate_morphology',\n",
       " 'IDstrokeofluckID': 'moderate_morphology',\n",
       " 'IDblowafuseID': 'moderate_morphology',\n",
       " 'IDallhellbrokelooseID': 'moderate_morphology',\n",
       " 'IDcarrythedayID': 'moderate_morphology',\n",
       " 'IDonthelevelID': 'high_morphology',\n",
       " 'IDunderthesunID': 'high_morphology',\n",
       " 'IDfillsomeonesshoesID': 'moderate_morphology',\n",
       " 'IDbreakevenID': 'moderate_morphology',\n",
       " 'IDonthetrotID': 'high_morphology',\n",
       " 'IDclaimtofameID': 'moderate_morphology',\n",
       " 'IDoutofsightID': 'moderate_morphology',\n",
       " 'IDheadoverheelsID': 'moderate_morphology',\n",
       " 'IDplayballID': 'high_morphology',\n",
       " 'IDwipesomeoneseyeID': 'moderate_morphology',\n",
       " 'IDgetthebetterofID': 'moderate_morphology',\n",
       " 'IDbrowniepointID': 'moderate_morphology',\n",
       " 'IDhighasakiteID': 'no_morphology',\n",
       " 'IDmakeheadortailofID': 'moderate_morphology',\n",
       " 'IDoverthetopID': 'high_morphology',\n",
       " 'IDtakeapowderID': 'moderate_morphology',\n",
       " 'IDtobootID': 'moderate_morphology',\n",
       " 'IDmanymoonsagoID': 'no_morphology',\n",
       " 'IDasluckwouldhaveitID': 'moderate_morphology',\n",
       " 'IDsavefaceID': 'high_morphology',\n",
       " 'IDgatherdustID': 'moderate_morphology',\n",
       " 'IDhavewordsID': 'high_morphology',\n",
       " 'IDdotherightthingID': 'moderate_morphology',\n",
       " 'IDkickupastinkID': 'moderate_morphology',\n",
       " 'IDanyportinastormID': 'no_morphology',\n",
       " 'IDerronthesideofID': 'moderate_morphology',\n",
       " 'IDfairandsquareID': 'no_morphology',\n",
       " 'IDcurryfavourID': 'moderate_morphology',\n",
       " 'IDintothinairID': 'moderate_morphology',\n",
       " 'IDhavebeenaroundID': 'high_morphology',\n",
       " 'IDtongueincheekID': 'moderate_morphology',\n",
       " 'IDhittheheadlinesID': 'moderate_morphology',\n",
       " 'IDninetimesoutoftenID': 'no_morphology',\n",
       " 'IDyourguessisasgoodasmineID': 'no_morphology',\n",
       " 'IDbythebackdoorID': 'moderate_morphology',\n",
       " 'IDbyandlargeID': 'no_morphology',\n",
       " 'IDstickyourneckoutID': 'moderate_morphology',\n",
       " 'IDtakesomeonetothecleanersID': 'moderate_morphology',\n",
       " 'IDspinayarnID': 'moderate_morphology',\n",
       " 'IDoutoftherunningID': 'moderate_morphology',\n",
       " 'IDtakeiteasyID': 'moderate_morphology',\n",
       " 'IDhavethelastlaughID': 'moderate_morphology',\n",
       " 'IDbreaktheiceID': 'high_morphology',\n",
       " 'IDcomefullcircleID': 'moderate_morphology',\n",
       " 'IDlookthepartID': 'moderate_morphology',\n",
       " 'IDinthesamebreathID': 'moderate_morphology',\n",
       " 'IDwearthetrousersID': 'high_morphology',\n",
       " 'IDforbiddenfruitID': 'moderate_morphology',\n",
       " 'IDtoethelineID': 'high_morphology',\n",
       " 'IDbringthehousedownID': 'moderate_morphology',\n",
       " 'IDheadswillrollID': 'no_morphology',\n",
       " 'IDdownatheelID': 'moderate_morphology',\n",
       " 'IDwaytogoID': 'moderate_morphology',\n",
       " 'IDgobytheboardID': 'moderate_morphology',\n",
       " 'IDfollowinsomeonesfootstepsID': 'moderate_morphology',\n",
       " 'IDgetcrackingID': 'moderate_morphology',\n",
       " 'IDgodownthewrongwayID': 'moderate_morphology',\n",
       " 'IDstopatnothingID': 'moderate_morphology',\n",
       " 'IDfirstoffID': 'no_morphology',\n",
       " 'IDfeelthepinchID': 'moderate_morphology',\n",
       " 'IDtakeabackseatID': 'moderate_morphology',\n",
       " 'IDtaketheplungeID': 'high_morphology',\n",
       " 'IDgraspthenettleID': 'high_morphology',\n",
       " 'IDsetthewheelsinmotionID': 'moderate_morphology',\n",
       " 'IDbasketcaseID': 'moderate_morphology',\n",
       " 'IDstreetsaheadID': 'moderate_morphology',\n",
       " 'IDrunriotID': 'moderate_morphology',\n",
       " 'IDunknownquantityID': 'moderate_morphology',\n",
       " 'IDmakeakillingID': 'high_morphology',\n",
       " 'IDsignonthedottedlineID': 'moderate_morphology',\n",
       " 'IDfootthebillID': 'high_morphology',\n",
       " 'IDmakehayID': 'moderate_morphology',\n",
       " 'IDpourcoldwateronID': 'moderate_morphology',\n",
       " 'IDmakeagoofID': 'moderate_morphology',\n",
       " 'IDbreakthebackofID': 'moderate_morphology',\n",
       " 'IDontheflyID': 'moderate_morphology',\n",
       " 'IDneitherherenorthereID': 'no_morphology',\n",
       " 'IDbyheartID': 'moderate_morphology',\n",
       " 'IDbleedingheartID': 'moderate_morphology',\n",
       " 'IDsmallprintID': 'moderate_morphology',\n",
       " 'IDtalkoutofturnID': 'moderate_morphology',\n",
       " 'IDinthefamilywayID': 'no_morphology',\n",
       " 'IDclutchatstrawsID': 'moderate_morphology',\n",
       " 'IDruleofthumbID': 'moderate_morphology',\n",
       " 'IDwalktheplankID': 'moderate_morphology',\n",
       " 'IDdogeatdogID': 'moderate_morphology',\n",
       " 'IDdropahintID': 'high_morphology',\n",
       " 'IDprodigalsonID': 'moderate_morphology',\n",
       " 'IDdowntheroadID': 'high_morphology',\n",
       " 'IDbottomdrawerID': 'moderate_morphology',\n",
       " 'IDallwetID': 'no_morphology',\n",
       " 'IDhithomeID': 'moderate_morphology',\n",
       " 'IDforthehellofitID': 'moderate_morphology',\n",
       " 'IDrarebirdID': 'high_morphology',\n",
       " 'IDwithknobsonID': 'moderate_morphology',\n",
       " 'IDneversaydieID': 'no_morphology',\n",
       " 'IDhaveiteasyID': 'moderate_morphology',\n",
       " 'IDtalkshopID': 'moderate_morphology',\n",
       " 'IDsirensongID': 'moderate_morphology',\n",
       " 'IDhittheroadID': 'moderate_morphology',\n",
       " 'IDcutandthrustID': 'no_morphology',\n",
       " 'IDfulltiltID': 'no_morphology',\n",
       " 'IDspillthebeansID': 'moderate_morphology',\n",
       " 'IDdownthedrainID': 'high_morphology',\n",
       " 'IDdroptheballID': 'high_morphology',\n",
       " 'IDworklikeacharmID': 'moderate_morphology',\n",
       " 'IDbehindthescenesID': 'moderate_morphology',\n",
       " 'IDroughandtumbleID': 'no_morphology',\n",
       " 'IDintheworksID': 'high_morphology',\n",
       " 'IDcometoaheadID': 'high_morphology',\n",
       " 'IDlivealieID': 'moderate_morphology',\n",
       " 'IDoffthecuffID': 'no_morphology',\n",
       " 'IDholdthepursestringsID': 'moderate_morphology',\n",
       " 'IDhitthejackpotID': 'moderate_morphology',\n",
       " 'IDtakelibertiesID': 'moderate_morphology',\n",
       " 'IDhighanddryID': 'no_morphology',\n",
       " 'IDfairgameID': 'no_morphology',\n",
       " 'IDkickingandscreamingID': 'moderate_morphology',\n",
       " 'IDcutlooseID': 'moderate_morphology',\n",
       " 'IDtalkdirtyID': 'moderate_morphology',\n",
       " 'IDcosttheearthID': 'moderate_morphology',\n",
       " 'IDfallbetweentwostoolsID': 'high_morphology',\n",
       " 'IDhandingloveID': 'moderate_morphology',\n",
       " 'IDintheloopID': 'high_morphology',\n",
       " 'IDsavedbythebellID': 'no_morphology',\n",
       " 'IDhopeagainsthopeID': 'moderate_morphology',\n",
       " 'IDoniceID': 'high_morphology',\n",
       " 'IDinthepipelineID': 'high_morphology',\n",
       " 'IDdeafasapostID': 'no_morphology',\n",
       " 'IDsmokelikeachimneyID': 'moderate_morphology',\n",
       " 'IDputafootwrongID': 'moderate_morphology',\n",
       " 'IDridehighID': 'moderate_morphology',\n",
       " 'IDcuckoointhenestID': 'moderate_morphology',\n",
       " 'IDknownoboundsID': 'moderate_morphology',\n",
       " 'IDheartofgoldID': 'moderate_morphology',\n",
       " 'IDchildsplayID': 'no_morphology',\n",
       " 'IDfitasafiddleID': 'no_morphology',\n",
       " 'IDmakeorbreakID': 'moderate_morphology',\n",
       " 'IDfullofbeansID': 'moderate_morphology',\n",
       " 'IDbeatswordsintoploughsharesID': 'moderate_morphology',\n",
       " 'IDearlybirdID': 'moderate_morphology',\n",
       " 'IDgraspatstrawsID': 'no_morphology',\n",
       " 'IDaddinsulttoinjuryID': 'moderate_morphology',\n",
       " 'IDtheayeshaveitID': 'moderate_morphology',\n",
       " 'IDhorsesforcoursesID': 'no_morphology',\n",
       " 'IDchuckitdownID': 'moderate_morphology',\n",
       " 'IDtouchwoodID': 'no_morphology',\n",
       " 'IDgetwindofID': 'moderate_morphology',\n",
       " 'IDkickassID': 'moderate_morphology',\n",
       " 'IDoldasthehillsID': 'no_morphology',\n",
       " 'IDfullmarksID': 'moderate_morphology',\n",
       " 'IDcallsomeonesbluffID': 'moderate_morphology',\n",
       " 'IDthatmakestwoofusID': 'no_morphology',\n",
       " 'IDasthecrowfliesID': 'moderate_morphology',\n",
       " 'IDholdthefortID': 'moderate_morphology',\n",
       " 'IDstrikewhiletheironishotID': 'moderate_morphology',\n",
       " 'IDrocktheboatID': 'high_morphology',\n",
       " 'IDmakesomeonesdayID': 'moderate_morphology',\n",
       " 'IDtakeabathID': 'high_morphology',\n",
       " 'IDcoldcomfortID': 'moderate_morphology',\n",
       " 'IDcomeuptrumpsID': 'moderate_morphology',\n",
       " 'IDoutofsortsID': 'moderate_morphology',\n",
       " 'IDflashinthepanID': 'moderate_morphology',\n",
       " 'IDlaughingstockID': 'no_morphology',\n",
       " 'IDrisefromtheashesID': 'moderate_morphology',\n",
       " 'IDloseyourheadID': 'moderate_morphology',\n",
       " 'IDpickupthepiecesID': 'high_morphology',\n",
       " 'IDmakewavesID': 'moderate_morphology',\n",
       " 'IDbeentheredonethatID': 'moderate_morphology',\n",
       " 'IDseeredID': 'moderate_morphology',\n",
       " 'IDpaythroughthenoseID': 'moderate_morphology',\n",
       " 'IDbornandbredID': 'no_morphology',\n",
       " 'IDboysinblueID': 'moderate_morphology',\n",
       " 'IDnoworneverID': 'no_morphology',\n",
       " 'IDmendfencesID': 'moderate_morphology',\n",
       " 'IDhomeanddryID': 'no_morphology',\n",
       " 'IDhaveascrewlooseID': 'moderate_morphology',\n",
       " 'IDthedieiscastID': 'moderate_morphology',\n",
       " 'IDgetawaywithmurderID': 'moderate_morphology',\n",
       " 'IDclosetohomeID': 'high_morphology',\n",
       " 'IDgodownhillID': 'moderate_morphology',\n",
       " 'IDsleightofhandID': 'moderate_morphology',\n",
       " 'IDgogreatgunsID': 'moderate_morphology',\n",
       " 'IDgetoffthegroundID': 'moderate_morphology',\n",
       " 'IDcallthetuneID': 'moderate_morphology',\n",
       " 'IDpipinghotID': 'moderate_morphology',\n",
       " 'IDfromthecradletothegraveID': 'moderate_morphology',\n",
       " 'IDpullrankID': 'moderate_morphology',\n",
       " 'IDtakethebullbythehornsID': 'moderate_morphology',\n",
       " 'IDfallfromgraceID': 'moderate_morphology',\n",
       " 'IDlifeandlimbID': 'moderate_morphology',\n",
       " 'IDkillthegoosethatlaysthegoldeneggsID': 'moderate_morphology',\n",
       " 'IDnosweatID': 'moderate_morphology',\n",
       " 'IDbreakranksID': 'moderate_morphology',\n",
       " 'IDbreathedownsomeonesneckID': 'moderate_morphology',\n",
       " 'IDonyourtoesID': 'moderate_morphology',\n",
       " 'IDgivesomethingamissID': 'moderate_morphology',\n",
       " 'IDovermydeadbodyID': 'moderate_morphology',\n",
       " 'IDnostringsattachedID': 'no_morphology',\n",
       " 'IDtakethemickeyID': 'moderate_morphology',\n",
       " 'IDunderthewireID': 'moderate_morphology',\n",
       " 'IDoddoneoutID': 'no_morphology',\n",
       " 'IDbemyguestID': 'moderate_morphology',\n",
       " 'IDdownthetubesID': 'moderate_morphology',\n",
       " 'IDmansbestfriendID': 'no_morphology',\n",
       " 'IDonthetakeID': 'moderate_morphology',\n",
       " 'IDholdyourhorsesID': 'no_morphology',\n",
       " 'IDtelltalesID': 'high_morphology',\n",
       " 'IDgodownastormID': 'moderate_morphology',\n",
       " 'IDatthedropofahatID': 'moderate_morphology',\n",
       " 'IDfirstamongequalsID': 'no_morphology',\n",
       " 'IDonefortheroadID': 'no_morphology',\n",
       " 'IDturnthescrewID': 'moderate_morphology',\n",
       " 'IDgrinandbearitID': 'no_morphology',\n",
       " 'IDkeepmumID': 'moderate_morphology',\n",
       " 'IDtakenoprisonersID': 'moderate_morphology',\n",
       " 'IDindutchID': 'no_morphology',\n",
       " 'IDpullsomeoneslegID': 'moderate_morphology',\n",
       " 'IDontherunID': 'high_morphology',\n",
       " 'IDonthestumpID': 'high_morphology',\n",
       " 'IDcutadashID': 'moderate_morphology',\n",
       " 'IDspititoutID': 'moderate_morphology',\n",
       " 'IDplainsailingID': 'no_morphology',\n",
       " 'IDeasyontheeyeID': 'moderate_morphology',\n",
       " 'IDslipthroughthenetID': 'moderate_morphology',\n",
       " 'IDletyourhairdownID': 'moderate_morphology',\n",
       " 'IDneckofthewoodsID': 'moderate_morphology',\n",
       " 'IDfitthebillID': 'high_morphology',\n",
       " 'IDputasockinitID': 'no_morphology',\n",
       " 'IDbrightandearlyID': 'no_morphology',\n",
       " 'IDcometogriefID': 'moderate_morphology',\n",
       " 'IDhaveafewID': 'high_morphology',\n",
       " 'IDwhenpushcomestoshoveID': 'moderate_morphology',\n",
       " 'IDkissassID': 'moderate_morphology',\n",
       " 'IDsavesomeonesskinID': 'moderate_morphology',\n",
       " 'IDinyourbloodID': 'no_morphology',\n",
       " 'IDcoldfeetID': 'moderate_morphology',\n",
       " 'IDgetitupID': 'moderate_morphology',\n",
       " 'IDbighitterID': 'moderate_morphology',\n",
       " 'IDhotunderthecollarID': 'no_morphology',\n",
       " 'IDsendsomeonepackingID': 'moderate_morphology',\n",
       " 'IDsparesomeonesblushesID': 'moderate_morphology',\n",
       " 'IDinbusinessID': 'high_morphology',\n",
       " 'IDseethelightID': 'high_morphology',\n",
       " 'IDhitandmissID': 'no_morphology',\n",
       " 'IDinthealtogetherID': 'moderate_morphology',\n",
       " 'IDplayintosomeoneshandsID': 'moderate_morphology',\n",
       " 'IDsaycheeseID': 'moderate_morphology',\n",
       " 'IDpicksomeonesbrainID': 'moderate_morphology',\n",
       " 'IDpassthebuckID': 'moderate_morphology',\n",
       " 'IDformymoneyID': 'moderate_morphology',\n",
       " 'IDinthesoupID': 'high_morphology',\n",
       " 'IDtakesomeonetotaskID': 'moderate_morphology',\n",
       " 'IDatyourfingertipsID': 'no_morphology',\n",
       " 'IDfamouslastwordsID': 'no_morphology',\n",
       " 'IDlendahandID': 'high_morphology',\n",
       " 'IDarguethetossID': 'moderate_morphology',\n",
       " 'IDcomeoutinthewashID': 'moderate_morphology',\n",
       " 'IDonthehoofID': 'moderate_morphology',\n",
       " 'IDmanofstrawID': 'moderate_morphology',\n",
       " 'IDsittightID': 'moderate_morphology',\n",
       " 'IDthemorethemerrierID': 'moderate_morphology',\n",
       " 'IDonthehopID': 'no_morphology',\n",
       " 'IDbabeinarmsID': 'no_morphology',\n",
       " 'IDcatchthesunID': 'moderate_morphology',\n",
       " 'IDbumsonseatsID': 'moderate_morphology',\n",
       " 'IDcallaspadeaspadeID': 'moderate_morphology',\n",
       " 'IDmisstheboatID': 'moderate_morphology',\n",
       " 'IDbobsyouruncleID': 'no_morphology',\n",
       " 'IDtimewilltellID': 'moderate_morphology',\n",
       " 'IDuptoscratchID': 'no_morphology',\n",
       " 'IDcarrythecanID': 'moderate_morphology',\n",
       " 'IDlightattheendofthetunnelID': 'moderate_morphology',\n",
       " 'IDweakatthekneesID': 'no_morphology',\n",
       " 'IDwithinlivingmemoryID': 'no_morphology',\n",
       " 'IDeasiersaidthandoneID': 'no_morphology',\n",
       " 'IDstickoutlikeasorethumbID': 'moderate_morphology',\n",
       " 'IDbetweenthedevilandthedeepblueseaID': 'no_morphology',\n",
       " 'IDpowerbehindthethroneID': 'moderate_morphology',\n",
       " 'IDonthesamepageID': 'moderate_morphology',\n",
       " 'IDinoneearandouttheotherID': 'no_morphology',\n",
       " 'IDstrikeachordID': 'high_morphology',\n",
       " 'IDkeepyourfingerscrossedID': 'moderate_morphology',\n",
       " 'IDasgoodasnewID': 'no_morphology',\n",
       " 'IDgiveandtakeID': 'high_morphology',\n",
       " 'IDkeeptabsonID': 'moderate_morphology',\n",
       " 'IDbangforthebuckID': 'moderate_morphology',\n",
       " 'IDknocksomeonessocksoffID': 'moderate_morphology',\n",
       " 'IDletsbehavingyouID': 'no_morphology',\n",
       " 'IDgetundersomeonesskinID': 'moderate_morphology',\n",
       " 'IDatalossforwordsID': 'moderate_morphology',\n",
       " 'IDgetonsomeonesnervesID': 'moderate_morphology',\n",
       " 'IDyoucanthaveyourcakeandeatitID': 'no_morphology',\n",
       " 'IDhavesomeonesnumberID': 'moderate_morphology',\n",
       " 'IDtheicingonthecakeID': 'moderate_morphology',\n",
       " 'IDkissandtellID': 'moderate_morphology',\n",
       " 'IDeverywhichwayID': 'no_morphology',\n",
       " 'IDflyoffthehandleID': 'moderate_morphology',\n",
       " 'IDonashoestringID': 'no_morphology',\n",
       " 'IDrunoutofsteamID': 'high_morphology',\n",
       " 'IDlargerthanlifeID': 'moderate_morphology',\n",
       " 'IDblowsomeonesmindID': 'moderate_morphology',\n",
       " 'IDhaveitbothwaysID': 'moderate_morphology',\n",
       " 'IDnotwowaysaboutitID': 'no_morphology',\n",
       " 'IDcloseshaveID': 'moderate_morphology',\n",
       " 'IDwithinanaceofID': 'no_morphology',\n",
       " 'IDjockeyforpositionID': 'no_morphology',\n",
       " 'IDstraineverynerveID': 'moderate_morphology',\n",
       " 'IDstealsomeonesthunderID': 'moderate_morphology',\n",
       " 'IDhaveacowID': 'moderate_morphology',\n",
       " 'IDoutofthepictureID': 'high_morphology',\n",
       " 'IDgivesomeonepauseID': 'moderate_morphology',\n",
       " 'IDyesterdaysnewsID': 'no_morphology',\n",
       " 'IDonthiniceID': 'moderate_morphology',\n",
       " 'IDplayhookeyID': 'moderate_morphology',\n",
       " 'IDplaceinthesunID': 'moderate_morphology',\n",
       " 'IDtenapennyID': 'moderate_morphology',\n",
       " 'IDindiansummerID': 'no_morphology',\n",
       " 'IDspeakvolumesID': 'moderate_morphology',\n",
       " 'IDturnthetablesID': 'moderate_morphology',\n",
       " 'IDtakethecakeID': 'high_morphology',\n",
       " 'IDtreadtheboardsID': 'moderate_morphology',\n",
       " 'IDinthedoghouseID': 'no_morphology',\n",
       " 'IDpoacherturnedgamekeeperID': 'moderate_morphology',\n",
       " 'IDhotandheavyID': 'no_morphology',\n",
       " 'IDthroughthickandthinID': 'no_morphology',\n",
       " 'IDtakeitorleaveitID': 'no_morphology',\n",
       " 'IDtillthecowscomehomeID': 'moderate_morphology',\n",
       " 'IDdrivesomeoneupthewallID': 'moderate_morphology',\n",
       " 'IDhaveaneyeforID': 'moderate_morphology',\n",
       " 'IDwithbatedbreathID': 'no_morphology',\n",
       " 'IDandthensomeID': 'no_morphology',\n",
       " 'IDnightanddayID': 'high_morphology',\n",
       " 'IDmarriageofconvenienceID': 'moderate_morphology',\n",
       " 'IDswingsandroundaboutsID': 'moderate_morphology',\n",
       " 'IDovereggthepuddingID': 'no_morphology',\n",
       " 'IDgowestID': 'moderate_morphology',\n",
       " 'IDlendanearID': 'moderate_morphology',\n",
       " 'IDincoldbloodID': 'no_morphology',\n",
       " 'IDdosomeonesheadinID': 'moderate_morphology',\n",
       " 'IDgiveuptheghostID': 'moderate_morphology',\n",
       " 'IDheartandsoulID': 'moderate_morphology',\n",
       " 'IDeasydoesitID': 'no_morphology',\n",
       " 'IDoncloudnineID': 'no_morphology',\n",
       " 'IDpartyanimalID': 'moderate_morphology',\n",
       " 'IDrunoutofgasID': 'moderate_morphology',\n",
       " 'IDoutonalimbID': 'moderate_morphology',\n",
       " 'IDtakethebiscuitID': 'high_morphology',\n",
       " 'IDchickenfeedID': 'no_morphology',\n",
       " 'IDputsomeoneonapedestalID': 'moderate_morphology',\n",
       " 'IDwhatsthedamageID': 'no_morphology',\n",
       " 'IDgetinonthegroundfloorID': 'moderate_morphology',\n",
       " 'IDpumpironID': 'moderate_morphology',\n",
       " 'IDinthesticksID': 'moderate_morphology',\n",
       " 'IDtakeabowID': 'high_morphology',\n",
       " 'IDmybadID': 'no_morphology',\n",
       " 'IDfacethemusicID': 'moderate_morphology',\n",
       " 'IDwalkalloverID': 'moderate_morphology',\n",
       " 'IDtaketothehillsID': 'moderate_morphology',\n",
       " 'IDdicewithdeathID': 'moderate_morphology',\n",
       " 'IDlosefaceID': 'moderate_morphology',\n",
       " 'IDtheplotthickensID': 'moderate_morphology',\n",
       " 'IDweatherthestormID': 'high_morphology',\n",
       " 'IDonthenodID': 'moderate_morphology',\n",
       " 'IDbreakcoverID': 'moderate_morphology',\n",
       " 'IDhandtomouthID': 'no_morphology',\n",
       " 'IDinthepinkID': 'high_morphology',\n",
       " 'IDshortandsweetID': 'moderate_morphology',\n",
       " 'IDknowthescoreID': 'high_morphology',\n",
       " 'IDturntailID': 'moderate_morphology',\n",
       " 'IDgonativeID': 'moderate_morphology',\n",
       " 'IDkilltwobirdswithonestoneID': 'moderate_morphology',\n",
       " 'IDgristtothemillID': 'moderate_morphology',\n",
       " 'IDputyouroarinID': 'no_morphology',\n",
       " 'IDdeadinthewaterID': 'no_morphology',\n",
       " 'IDmarchingordersID': 'no_morphology',\n",
       " 'IDsleeplikealogID': 'moderate_morphology',\n",
       " 'IDslipofthetongueID': 'moderate_morphology',\n",
       " 'IDjobsfortheboysID': 'moderate_morphology',\n",
       " 'IDoutoftheloopID': 'moderate_morphology',\n",
       " 'IDunderlockandkeyID': 'no_morphology',\n",
       " 'IDtownandgownID': 'no_morphology',\n",
       " 'IDkeepthewolffromthedoorID': 'moderate_morphology',\n",
       " 'IDhitthenailontheheadID': 'moderate_morphology',\n",
       " 'IDbloodisthickerthanwaterID': 'moderate_morphology',\n",
       " 'IDnotaprettysightID': 'moderate_morphology',\n",
       " 'IDtietheknotID': 'high_morphology',\n",
       " 'IDpaperoverthecracksID': 'moderate_morphology',\n",
       " 'IDswearlikeatrooperID': 'moderate_morphology',\n",
       " 'IDbounceoffthewallsID': 'moderate_morphology',\n",
       " 'IDinthelapofluxuryID': 'moderate_morphology',\n",
       " 'IDupatreeID': 'moderate_morphology',\n",
       " 'IDthinktheworldofID': 'moderate_morphology',\n",
       " 'IDbroadinthebeamID': 'no_morphology',\n",
       " 'IDplaygooseberryID': 'moderate_morphology',\n",
       " 'IDgivesomeonetheslipID': 'moderate_morphology',\n",
       " 'IDlonewolfID': 'no_morphology',\n",
       " 'IDleavewellaloneID': 'moderate_morphology',\n",
       " 'IDeathumblepieID': 'moderate_morphology',\n",
       " 'IDtodieforID': 'no_morphology',\n",
       " 'IDsweatbloodID': 'no_morphology',\n",
       " 'IDonthedotID': 'moderate_morphology',\n",
       " 'IDcomerainorshineID': 'no_morphology',\n",
       " 'IDbynostretchoftheimaginationID': 'no_morphology',\n",
       " 'IDonandoffID': 'moderate_morphology',\n",
       " 'IDtakesomethingasreadID': 'moderate_morphology',\n",
       " 'IDdifferentstrokesfordifferentfolksID': 'no_morphology',\n",
       " 'IDliketheclappersID': 'moderate_morphology',\n",
       " 'IDrideforafallID': 'moderate_morphology',\n",
       " 'IDforafricaID': 'no_morphology',\n",
       " 'IDwheelswithinwheelsID': 'moderate_morphology',\n",
       " 'IDholdyourtongueID': 'no_morphology',\n",
       " 'IDdaylightrobberyID': 'no_morphology',\n",
       " 'IDstandupandbecountedID': 'no_morphology',\n",
       " 'IDbrassneckID': 'no_morphology',\n",
       " 'IDwithoutfailID': 'no_morphology',\n",
       " 'IDlookonthebrightsideID': 'moderate_morphology',\n",
       " 'IDcutitfineID': 'moderate_morphology',\n",
       " 'IDrunthegauntletID': 'high_morphology',\n",
       " 'IDreachforthestarsID': 'moderate_morphology',\n",
       " 'IDfallonstonygroundID': 'moderate_morphology',\n",
       " 'IDraisehellID': 'moderate_morphology',\n",
       " 'IDwhenthechipsaredownID': 'high_morphology',\n",
       " 'IDcomehellorhighwaterID': 'no_morphology',\n",
       " 'IDontopoftheworldID': 'moderate_morphology',\n",
       " 'IDtakethefloorID': 'moderate_morphology',\n",
       " 'IDplayitsafeID': 'moderate_morphology',\n",
       " 'IDcallitquitsID': 'moderate_morphology',\n",
       " 'IDcapinhandID': 'moderate_morphology',\n",
       " 'IDarmedtotheteethID': 'moderate_morphology',\n",
       " 'IDbiteoffmorethanyoucanchewID': 'moderate_morphology',\n",
       " 'IDpackedlikesardinesID': 'moderate_morphology',\n",
       " 'IDthrowinthetowelID': 'moderate_morphology',\n",
       " 'IDdomeafavourID': 'high_morphology',\n",
       " 'IDupagainstitID': 'no_morphology',\n",
       " 'IDcheekbyjowlID': 'no_morphology',\n",
       " 'IDapplesandorangesID': 'moderate_morphology',\n",
       " 'IDnamenamesID': 'moderate_morphology',\n",
       " 'IDlockhornsID': 'no_morphology',\n",
       " 'IDdeadandburiedID': 'no_morphology',\n",
       " 'IDpackapunchID': 'high_morphology',\n",
       " 'IDhavenotruckwithID': 'moderate_morphology',\n",
       " 'IDpigscanflyID': 'moderate_morphology',\n",
       " 'IDbowandscrapeID': 'moderate_morphology',\n",
       " 'IDthrowdownthegauntletID': 'moderate_morphology',\n",
       " 'IDkeepyourchinupID': 'no_morphology',\n",
       " 'IDrunsomethinguptheflagpoleID': 'moderate_morphology',\n",
       " 'IDnogreatshakesID': 'no_morphology',\n",
       " 'IDseethelightofdayID': 'moderate_morphology',\n",
       " 'IDburstsomeonesbubbleID': 'moderate_morphology',\n",
       " 'IDgoodriddanceID': 'moderate_morphology',\n",
       " 'IDrakeoveroldcoalsID': 'moderate_morphology',\n",
       " 'IDmakeamountainoutofamolehillID': 'moderate_morphology',\n",
       " 'IDwartsandallID': 'no_morphology',\n",
       " 'IDbitsandbobsID': 'moderate_morphology',\n",
       " 'IDcouchpotatoID': 'moderate_morphology',\n",
       " 'IDeasyasfallingoffalogID': 'no_morphology',\n",
       " 'IDonthesamewavelengthID': 'moderate_morphology',\n",
       " 'IDtherestishistoryID': 'moderate_morphology',\n",
       " 'IDgoofftheboilID': 'moderate_morphology',\n",
       " 'IDlicksomeonesbootsID': 'moderate_morphology',\n",
       " 'IDleavenostoneunturnedID': 'moderate_morphology',\n",
       " 'IDatsixesandsevensID': 'no_morphology',\n",
       " 'IDcountyourblessingsID': 'moderate_morphology',\n",
       " 'IDputadamperonID': 'moderate_morphology',\n",
       " 'IDeternaltriangleID': 'moderate_morphology',\n",
       " 'IDbarnoneID': 'moderate_morphology',\n",
       " 'IDshutthedooronID': 'moderate_morphology',\n",
       " 'IDgreasesomeonespalmID': 'no_morphology',\n",
       " 'IDincahootsID': 'no_morphology',\n",
       " 'IDkissofdeathID': 'moderate_morphology',\n",
       " 'IDliftafingerID': 'moderate_morphology',\n",
       " 'IDonthereboundID': 'moderate_morphology',\n",
       " 'IDsadsackID': 'no_morphology',\n",
       " 'IDthrowcoldwateronID': 'moderate_morphology',\n",
       " 'IDonthewagonID': 'high_morphology',\n",
       " 'IDflyakiteID': 'high_morphology',\n",
       " 'IDaboveboardID': 'moderate_morphology',\n",
       " 'IDupthespoutID': 'no_morphology',\n",
       " 'IDdowninthedumpsID': 'moderate_morphology',\n",
       " 'IDallovertheshopID': 'moderate_morphology',\n",
       " 'IDboxcleverID': 'moderate_morphology',\n",
       " 'IDonthemakeID': 'moderate_morphology',\n",
       " 'IDtheresnosuchthingasafreelunchID': 'no_morphology',\n",
       " 'IDoutofthinairID': 'no_morphology',\n",
       " 'IDgotogroundID': 'high_morphology',\n",
       " 'IDmakeacleanbreakID': 'moderate_morphology',\n",
       " 'IDsourgrapesID': 'no_morphology',\n",
       " 'IDpoundthepavementID': 'moderate_morphology',\n",
       " 'IDbuythefarmID': 'high_morphology',\n",
       " 'IDwhenallissaidanddoneID': 'moderate_morphology',\n",
       " 'IDcrocodiletearsID': 'moderate_morphology',\n",
       " 'IDhitthemarkID': 'high_morphology',\n",
       " 'IDwithopenarmsID': 'moderate_morphology',\n",
       " 'IDontenterhooksID': 'moderate_morphology',\n",
       " 'IDmovemountainsID': 'moderate_morphology',\n",
       " 'IDkeenasmustardID': 'no_morphology',\n",
       " 'IDdeadwoodID': 'moderate_morphology',\n",
       " 'IDfoodforthoughtID': 'moderate_morphology',\n",
       " 'IDbacktothedrawingboardID': 'moderate_morphology',\n",
       " 'IDrufflesomeonesfeathersID': 'moderate_morphology',\n",
       " 'IDplayfastandlooseID': 'moderate_morphology',\n",
       " 'IDtakethefallID': 'moderate_morphology',\n",
       " 'IDthrowacurveID': 'moderate_morphology',\n",
       " 'IDlikeclockworkID': 'no_morphology',\n",
       " 'IDcockofthewalkID': 'no_morphology',\n",
       " 'IDdrawtheshortstrawID': 'moderate_morphology',\n",
       " 'IDintheswimID': 'high_morphology',\n",
       " 'IDmakeshortworkofID': 'moderate_morphology',\n",
       " 'IDuptothehiltID': 'no_morphology',\n",
       " 'IDnocandoID': 'moderate_morphology',\n",
       " 'IDfindyourfeetID': 'moderate_morphology',\n",
       " 'IDstraightfromtheshoulderID': 'no_morphology',\n",
       " 'IDmakeapigsearofID': 'no_morphology',\n",
       " 'IDshareandsharealikeID': 'no_morphology',\n",
       " 'IDsqueakycleanID': 'no_morphology',\n",
       " 'IDgivesomeonewhatforID': 'moderate_morphology',\n",
       " 'IDonthebackburnerID': 'moderate_morphology',\n",
       " 'IDatdeathsdoorID': 'no_morphology',\n",
       " 'IDjumpshipID': 'moderate_morphology',\n",
       " 'IDpullarabbitoutofahatID': 'moderate_morphology',\n",
       " 'IDmindovermatterID': 'no_morphology',\n",
       " 'IDsmartalecID': 'moderate_morphology',\n",
       " 'IDinarutID': 'high_morphology',\n",
       " 'IDshrinkingvioletID': 'moderate_morphology',\n",
       " 'IDperishthethoughtID': 'moderate_morphology',\n",
       " 'IDhellforleatherID': 'no_morphology',\n",
       " 'IDgounderthehammerID': 'moderate_morphology',\n",
       " 'IDsavesomeonesbaconID': 'moderate_morphology',\n",
       " 'IDwipetheslatecleanID': 'moderate_morphology',\n",
       " 'IDfirstupID': 'no_morphology',\n",
       " 'IDtwoapennyID': 'moderate_morphology',\n",
       " 'IDlaughallthewaytothebankID': 'moderate_morphology',\n",
       " 'IDandallthatjazzID': 'no_morphology',\n",
       " 'IDallthingsbeingequalID': 'moderate_morphology',\n",
       " 'IDchopandchangeID': 'moderate_morphology',\n",
       " 'IDgoballisticID': 'no_morphology',\n",
       " 'IDhaveafootinbothcampsID': 'moderate_morphology',\n",
       " 'IDtrueblueID': 'moderate_morphology',\n",
       " 'IDgowiththeflowID': 'moderate_morphology',\n",
       " 'IDgoodofficesID': 'moderate_morphology',\n",
       " 'IDnudgenudgewinkwinkID': 'no_morphology',\n",
       " ...}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "THRESHOLD_MIN = 1\n",
    "THRESHOLD_MAX = 4\n",
    "\n",
    "def get_morphology_category(num_of_variations):\n",
    "    if num_of_variations < THRESHOLD_MIN:\n",
    "        return 'no_morphology'\n",
    "    elif num_of_variations < THRESHOLD_MAX:\n",
    "        return 'moderate_morphology'\n",
    "    else:\n",
    "        return 'high_morphology'\n",
    "\n",
    "df_tmp = df_pie_exact_match_status[['idiom_token', 'variations']]\n",
    "df_tmp['morphology_type'] = df_tmp['variations'].map(get_morphology_category)\n",
    "df_tmp = df_tmp[['idiom_token', 'morphology_type']]\n",
    "pie_morphology_dict = {r['idiom_token']:r['morphology_type'] for r in df_tmp.to_dict(orient='records')}\n",
    "pie_morphology_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f576383b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Added one more column to df_tok_label_counts DataFrame!\n"
     ]
    },
    {
     "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>idiom_token</th>\n",
       "      <th>label</th>\n",
       "      <th>num_of_examples</th>\n",
       "      <th>total</th>\n",
       "      <th>idiomaticity_ratio</th>\n",
       "      <th>degree_of_idiomaticity</th>\n",
       "      <th>ccnews_rarity</th>\n",
       "      <th>morphology_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDonehorseraceID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>no_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDonehorseraceID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>no_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IDservesomeonerightID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>68</td>\n",
       "      <td>69</td>\n",
       "      <td>0.985507</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IDservesomeonerightID</td>\n",
       "      <td>literal</td>\n",
       "      <td>1</td>\n",
       "      <td>69</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IDallovertheplaceID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>76</td>\n",
       "      <td>98</td>\n",
       "      <td>0.775510</td>\n",
       "      <td>ambiguous</td>\n",
       "      <td>ccnews_frequent</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3471</th>\n",
       "      <td>IDcutthecrapID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3472</th>\n",
       "      <td>IDpullafaceID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>131</td>\n",
       "      <td>138</td>\n",
       "      <td>0.949275</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>high_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3473</th>\n",
       "      <td>IDpullafaceID</td>\n",
       "      <td>literal</td>\n",
       "      <td>7</td>\n",
       "      <td>138</td>\n",
       "      <td>0.050725</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_very_rare</td>\n",
       "      <td>high_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474</th>\n",
       "      <td>IDbleedingheartID</td>\n",
       "      <td>idiom</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3475</th>\n",
       "      <td>IDbleedingheartID</td>\n",
       "      <td>literal</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>highly_idiomatic</td>\n",
       "      <td>ccnews_moderately_rare</td>\n",
       "      <td>moderate_morphology</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3476 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                idiom_token    label  num_of_examples  total  \\\n",
       "0          IDonehorseraceID    idiom                4      4   \n",
       "1          IDonehorseraceID  literal                0      4   \n",
       "2     IDservesomeonerightID    idiom               68     69   \n",
       "3     IDservesomeonerightID  literal                1     69   \n",
       "4       IDallovertheplaceID    idiom               76     98   \n",
       "...                     ...      ...              ...    ...   \n",
       "3471         IDcutthecrapID  literal                0      9   \n",
       "3472          IDpullafaceID    idiom              131    138   \n",
       "3473          IDpullafaceID  literal                7    138   \n",
       "3474      IDbleedingheartID    idiom                6      6   \n",
       "3475      IDbleedingheartID  literal                0      6   \n",
       "\n",
       "      idiomaticity_ratio degree_of_idiomaticity           ccnews_rarity  \\\n",
       "0               1.000000       highly_idiomatic        ccnews_very_rare   \n",
       "1               0.000000       highly_idiomatic        ccnews_very_rare   \n",
       "2               0.985507       highly_idiomatic        ccnews_very_rare   \n",
       "3               0.014493       highly_idiomatic        ccnews_very_rare   \n",
       "4               0.775510              ambiguous         ccnews_frequent   \n",
       "...                  ...                    ...                     ...   \n",
       "3471            0.000000       highly_idiomatic  ccnews_moderately_rare   \n",
       "3472            0.949275       highly_idiomatic        ccnews_very_rare   \n",
       "3473            0.050725       highly_idiomatic        ccnews_very_rare   \n",
       "3474            1.000000       highly_idiomatic  ccnews_moderately_rare   \n",
       "3475            0.000000       highly_idiomatic  ccnews_moderately_rare   \n",
       "\n",
       "          morphology_type  \n",
       "0           no_morphology  \n",
       "1           no_morphology  \n",
       "2     moderate_morphology  \n",
       "3     moderate_morphology  \n",
       "4     moderate_morphology  \n",
       "...                   ...  \n",
       "3471  moderate_morphology  \n",
       "3472      high_morphology  \n",
       "3473      high_morphology  \n",
       "3474  moderate_morphology  \n",
       "3475  moderate_morphology  \n",
       "\n",
       "[3476 rows x 8 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add another column to the existing df_tok_label_counts dataframe\n",
    "df_tok_label_counts['morphology_type'] = df_tok_label_counts['idiom_token'].map(pie_morphology_dict)\n",
    "print(\"Added one more column to df_tok_label_counts DataFrame!\")\n",
    "df_tok_label_counts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18c90f6b",
   "metadata": {},
   "source": [
    "## Save PIE groups with different degree of Morphological variations "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "bf3fced7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved the Morphological variation based grouping at ../data/PIE_segregation/pie_segregation.csv\n"
     ]
    }
   ],
   "source": [
    "df_tok_label_counts.to_csv(output_file, index=False)\n",
    "print(f\"Saved the Morphological variation based grouping at {output_file}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c6215ed",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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