1.7 Extended English Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mlds.data_loader import CLINC150_MAPPER, INTENTS\n",
    "from datasets import load_dataset\n",
    "import pandas as pd\n",
    "\n",
    "def load():\n",
    "    dfs = {}\n",
    "    for split in [\"train\", \"validation\", \"test\"]:\n",
    "        # 100, 20, 30\n",
    "        dataset = load_dataset(\"clinc/clinc_oos\", \"plus\", split=split)\n",
    "        df = dataset.to_pandas()\n",
    "        df[\"intent\"] = df[\"intent\"].map(CLINC150_MAPPER)\n",
    "        df = df[df[\"intent\"].isin(INTENTS)]\n",
    "        dfs[split] = df\n",
    "    # print(df[\"intent\"].value_counts())\n",
    "    return dfs\n",
    "\n",
    "dfs = load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alarm 80\n",
      "balance 80\n",
      "bill_balance 80\n",
      "book_flight 80\n",
      "book_hotel 80\n",
      "calendar_update 80\n",
      "cancel_reservation 80\n",
      "car_rental 80\n",
      "confirm_reservation 80\n",
      "cook_time 80\n",
      "exchange_rate 80\n",
      "food_last 80\n",
      "freeze_account 80\n",
      "ingredients_list 80\n",
      "interest_rate 80\n",
      "international_visa 80\n",
      "make_call 80\n",
      "meal_suggestion 80\n",
      "min_payment 80\n",
      "pay_bill 80\n",
      "pin_change 80\n",
      "play_music 80\n",
      "plug_type 80\n",
      "recipe 80\n",
      "restaurant_reservation 80\n",
      "restaurant_reviews 80\n",
      "restaurant_suggestion 80\n",
      "share_location 80\n",
      "shopping_list_update 80\n",
      "spending_history 80\n",
      "text 80\n",
      "time 80\n",
      "timezone 80\n",
      "transactions 80\n",
      "transfer 80\n",
      "translate 80\n",
      "travel_notification 80\n",
      "travel_suggestion 80\n",
      "update_playlist 80\n",
      "weather 80\n"
     ]
    }
   ],
   "source": [
    "df = dfs[\"train\"]\n",
    "records = []\n",
    "for intent in INTENTS:\n",
    "    intent_df = df[df[\"intent\"] == intent].head(80)\n",
    "    print(intent, len(intent_df))\n",
    "    records.append(intent_df)\n",
    "\n",
    "df = pd.concat(records)\n",
    "df = df[[\"intent\", \"text\"]]\n",
    "df[\"domain\"] = \"clinc\"\n",
    "df[\"spans\"] = \"\"\n",
    "df[\"logical_form\"] = \"[SL: \" + df[\"intent\"] + \"]\"\n",
    "# split,domain,intent,text,spans,logical_form\n",
    "# 1047\n",
    "df.to_csv(\"data/output/clinc.csv\", index=False)\n",
    "df.to_csv(\"data/output/clinc+extend.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "split\n",
      "train    200\n",
      "test      80\n",
      "dev       40\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     8\n",
      "balance                   8\n",
      "plug_type                 8\n",
      "recipe                    8\n",
      "restaurant_reservation    8\n",
      "restaurant_reviews        8\n",
      "restaurant_suggestion     8\n",
      "share_location            8\n",
      "shopping_list_update      8\n",
      "spending_history          8\n",
      "text                      8\n",
      "time                      8\n",
      "timezone                  8\n",
      "transactions              8\n",
      "transfer                  8\n",
      "translate                 8\n",
      "travel_notification       8\n",
      "travel_suggestion         8\n",
      "update_playlist           8\n",
      "play_music                8\n",
      "pin_change                8\n",
      "pay_bill                  8\n",
      "cook_time                 8\n",
      "bill_balance              8\n",
      "book_flight               8\n",
      "book_hotel                8\n",
      "calendar_update           8\n",
      "cancel_reservation        8\n",
      "car_rental                8\n",
      "confirm_reservation       8\n",
      "exchange_rate             8\n",
      "min_payment               8\n",
      "food_last                 8\n",
      "freeze_account            8\n",
      "ingredients_list          8\n",
      "interest_rate             8\n",
      "international_visa        8\n",
      "make_call                 8\n",
      "meal_suggestion           8\n",
      "weather                   8\n",
      "Name: count, dtype: int64\n",
      "split\n",
      "train    400\n",
      "test     120\n",
      "dev       80\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     15\n",
      "balance                   15\n",
      "plug_type                 15\n",
      "recipe                    15\n",
      "restaurant_reservation    15\n",
      "restaurant_reviews        15\n",
      "restaurant_suggestion     15\n",
      "share_location            15\n",
      "shopping_list_update      15\n",
      "spending_history          15\n",
      "text                      15\n",
      "time                      15\n",
      "timezone                  15\n",
      "transactions              15\n",
      "transfer                  15\n",
      "translate                 15\n",
      "travel_notification       15\n",
      "travel_suggestion         15\n",
      "update_playlist           15\n",
      "play_music                15\n",
      "pin_change                15\n",
      "pay_bill                  15\n",
      "cook_time                 15\n",
      "bill_balance              15\n",
      "book_flight               15\n",
      "book_hotel                15\n",
      "calendar_update           15\n",
      "cancel_reservation        15\n",
      "car_rental                15\n",
      "confirm_reservation       15\n",
      "exchange_rate             15\n",
      "min_payment               15\n",
      "food_last                 15\n",
      "freeze_account            15\n",
      "ingredients_list          15\n",
      "interest_rate             15\n",
      "international_visa        15\n",
      "make_call                 15\n",
      "meal_suggestion           15\n",
      "weather                   15\n",
      "Name: count, dtype: int64\n",
      "split\n",
      "train    1000\n",
      "test      320\n",
      "dev       200\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     38\n",
      "balance                   38\n",
      "plug_type                 38\n",
      "recipe                    38\n",
      "restaurant_reservation    38\n",
      "restaurant_reviews        38\n",
      "restaurant_suggestion     38\n",
      "share_location            38\n",
      "shopping_list_update      38\n",
      "spending_history          38\n",
      "text                      38\n",
      "time                      38\n",
      "timezone                  38\n",
      "transactions              38\n",
      "transfer                  38\n",
      "translate                 38\n",
      "travel_notification       38\n",
      "travel_suggestion         38\n",
      "update_playlist           38\n",
      "play_music                38\n",
      "pin_change                38\n",
      "pay_bill                  38\n",
      "cook_time                 38\n",
      "bill_balance              38\n",
      "book_flight               38\n",
      "book_hotel                38\n",
      "calendar_update           38\n",
      "cancel_reservation        38\n",
      "car_rental                38\n",
      "confirm_reservation       38\n",
      "exchange_rate             38\n",
      "min_payment               38\n",
      "food_last                 38\n",
      "freeze_account            38\n",
      "ingredients_list          38\n",
      "interest_rate             38\n",
      "international_visa        38\n",
      "make_call                 38\n",
      "meal_suggestion           38\n",
      "weather                   38\n",
      "Name: count, dtype: int64\n",
      "split\n",
      "train    2000\n",
      "test      600\n",
      "dev       400\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     75\n",
      "balance                   75\n",
      "plug_type                 75\n",
      "recipe                    75\n",
      "restaurant_reservation    75\n",
      "restaurant_reviews        75\n",
      "restaurant_suggestion     75\n",
      "share_location            75\n",
      "shopping_list_update      75\n",
      "spending_history          75\n",
      "text                      75\n",
      "time                      75\n",
      "timezone                  75\n",
      "transactions              75\n",
      "transfer                  75\n",
      "translate                 75\n",
      "travel_notification       75\n",
      "travel_suggestion         75\n",
      "update_playlist           75\n",
      "play_music                75\n",
      "pin_change                75\n",
      "pay_bill                  75\n",
      "cook_time                 75\n",
      "bill_balance              75\n",
      "book_flight               75\n",
      "book_hotel                75\n",
      "calendar_update           75\n",
      "cancel_reservation        75\n",
      "car_rental                75\n",
      "confirm_reservation       75\n",
      "exchange_rate             75\n",
      "min_payment               75\n",
      "food_last                 75\n",
      "freeze_account            75\n",
      "ingredients_list          75\n",
      "interest_rate             75\n",
      "international_visa        75\n",
      "make_call                 75\n",
      "meal_suggestion           75\n",
      "weather                   75\n",
      "Name: count, dtype: int64\n",
      "split\n",
      "train    4000\n",
      "test     1200\n",
      "dev       800\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     150\n",
      "balance                   150\n",
      "plug_type                 150\n",
      "recipe                    150\n",
      "restaurant_reservation    150\n",
      "restaurant_reviews        150\n",
      "restaurant_suggestion     150\n",
      "share_location            150\n",
      "shopping_list_update      150\n",
      "spending_history          150\n",
      "text                      150\n",
      "time                      150\n",
      "timezone                  150\n",
      "transactions              150\n",
      "transfer                  150\n",
      "translate                 150\n",
      "travel_notification       150\n",
      "travel_suggestion         150\n",
      "update_playlist           150\n",
      "play_music                150\n",
      "pin_change                150\n",
      "pay_bill                  150\n",
      "cook_time                 150\n",
      "bill_balance              150\n",
      "book_flight               150\n",
      "book_hotel                150\n",
      "calendar_update           150\n",
      "cancel_reservation        150\n",
      "car_rental                150\n",
      "confirm_reservation       150\n",
      "exchange_rate             150\n",
      "min_payment               150\n",
      "food_last                 150\n",
      "freeze_account            150\n",
      "ingredients_list          150\n",
      "interest_rate             150\n",
      "international_visa        150\n",
      "make_call                 150\n",
      "meal_suggestion           150\n",
      "weather                   150\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "for shot in [(5, 1, 2), (10, 2, 3), (25, 5, 8), (50, 10, 15), (100, 20, 30)]:\n",
    "    file = []\n",
    "    for split in [\"train\", \"validation\", \"test\"]:\n",
    "        size = shot[[\"train\", \"validation\", \"test\"].index(split)]\n",
    "        df = dfs[split]\n",
    "        records = []\n",
    "        for intent in INTENTS:\n",
    "            intent_df = df[df[\"intent\"] == intent].head(size)\n",
    "            records.append(intent_df)\n",
    "\n",
    "        df = pd.concat(records)\n",
    "        df = df[[\"intent\", \"text\"]]\n",
    "        df[\"domain\"] = \"clinc\"\n",
    "        df[\"spans\"] = \"\"\n",
    "        df[\"logical_form\"] = \"[SL: \" + df[\"intent\"] + \"]\"\n",
    "        df[\"split\"] = split if split != \"validation\" else \"dev\"\n",
    "        file.append(df)\n",
    "\n",
    "    df = pd.concat(file)\n",
    "    df.to_csv(\"data/output/clinc_{}shots.csv\".format(shot[0]), index=False)\n",
    "    print(df[\"split\"].value_counts())\n",
    "    print(df[\"intent\"].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing balance with {'lug', 'sna'}\n",
      "Missing confirm_reservation with {'lug', 'sna'}\n",
      "Missing freeze_account with {'lug', 'sna'}\n",
      "Missing restaurant_reservation with {'lug', 'sna'}\n",
      "Missing shopping_list_update with {'lug', 'sna'}\n",
      "Missing time with {'lug', 'sna'}\n",
      "Missing timezone with {'lug', 'sna'}\n",
      "Missing transfer with {'lug', 'sna'}\n",
      "Missing translate with {'lug', 'sna'}\n"
     ]
    }
   ],
   "source": [
    "from mlds.data_loader import SlotDataManager, INTENTS\n",
    "slot_manager = SlotDataManager(data_folder=\"data/output\")\n",
    "eng = slot_manager.load_data(\"eng\", \"split\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "intent\n",
      "recipe                    28\n",
      "ingredients_list          28\n",
      "alarm                     28\n",
      "cook_time                 28\n",
      "food_last                 28\n",
      "pay_bill                  28\n",
      "restaurant_suggestion     28\n",
      "weather                   28\n",
      "international_visa        28\n",
      "bill_balance              28\n",
      "car_rental                28\n",
      "cancel_reservation        28\n",
      "update_playlist           28\n",
      "calendar_update           28\n",
      "play_music                28\n",
      "share_location            28\n",
      "text                      28\n",
      "book_hotel                28\n",
      "plug_type                 28\n",
      "make_call                 28\n",
      "travel_notification       28\n",
      "travel_suggestion         28\n",
      "spending_history          28\n",
      "pin_change                28\n",
      "interest_rate             27\n",
      "min_payment               27\n",
      "exchange_rate             27\n",
      "book_flight               27\n",
      "restaurant_reviews        27\n",
      "meal_suggestion           27\n",
      "transactions              25\n",
      "translate                 23\n",
      "timezone                  21\n",
      "freeze_account            21\n",
      "restaurant_reservation    21\n",
      "transfer                  21\n",
      "balance                   21\n",
      "confirm_reservation       20\n",
      "time                      20\n",
      "shopping_list_update      20\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     3\n",
      "make_call                 3\n",
      "update_playlist           3\n",
      "travel_suggestion         3\n",
      "travel_notification       3\n",
      "text                      3\n",
      "spending_history          3\n",
      "share_location            3\n",
      "restaurant_suggestion     3\n",
      "restaurant_reviews        3\n",
      "recipe                    3\n",
      "plug_type                 3\n",
      "play_music                3\n",
      "pay_bill                  3\n",
      "min_payment               3\n",
      "meal_suggestion           3\n",
      "pin_change                3\n",
      "international_visa        3\n",
      "car_rental                3\n",
      "bill_balance              3\n",
      "book_flight               3\n",
      "book_hotel                3\n",
      "calendar_update           3\n",
      "cancel_reservation        3\n",
      "interest_rate             3\n",
      "weather                   3\n",
      "cook_time                 3\n",
      "exchange_rate             3\n",
      "food_last                 3\n",
      "ingredients_list          3\n",
      "confirm_reservation       2\n",
      "restaurant_reservation    2\n",
      "time                      2\n",
      "timezone                  2\n",
      "transactions              2\n",
      "transfer                  2\n",
      "translate                 2\n",
      "freeze_account            2\n",
      "balance                   2\n",
      "shopping_list_update      2\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     16\n",
      "meal_suggestion           16\n",
      "update_playlist           16\n",
      "travel_suggestion         16\n",
      "travel_notification       16\n",
      "transactions              16\n",
      "text                      16\n",
      "spending_history          16\n",
      "share_location            16\n",
      "restaurant_suggestion     16\n",
      "restaurant_reviews        16\n",
      "recipe                    16\n",
      "plug_type                 16\n",
      "play_music                16\n",
      "pay_bill                  16\n",
      "min_payment               16\n",
      "pin_change                16\n",
      "make_call                 16\n",
      "cook_time                 16\n",
      "bill_balance              16\n",
      "book_flight               16\n",
      "book_hotel                16\n",
      "calendar_update           16\n",
      "cancel_reservation        16\n",
      "car_rental                16\n",
      "international_visa        16\n",
      "weather                   16\n",
      "exchange_rate             16\n",
      "food_last                 16\n",
      "ingredients_list          16\n",
      "interest_rate             16\n",
      "confirm_reservation       14\n",
      "restaurant_reservation    14\n",
      "time                      14\n",
      "timezone                  14\n",
      "freeze_account            14\n",
      "transfer                  14\n",
      "translate                 14\n",
      "balance                   14\n",
      "shopping_list_update      14\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "for split in [\"train\", \"dev\", \"test\"]:\n",
    "    print(eng[split][\"intent\"].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5, 9)\n",
      "split\n",
      "train    200\n",
      "test      80\n",
      "dev       40\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     8\n",
      "balance                   8\n",
      "plug_type                 8\n",
      "recipe                    8\n",
      "restaurant_reservation    8\n",
      "restaurant_reviews        8\n",
      "restaurant_suggestion     8\n",
      "share_location            8\n",
      "shopping_list_update      8\n",
      "spending_history          8\n",
      "text                      8\n",
      "time                      8\n",
      "timezone                  8\n",
      "transactions              8\n",
      "transfer                  8\n",
      "translate                 8\n",
      "travel_notification       8\n",
      "travel_suggestion         8\n",
      "update_playlist           8\n",
      "play_music                8\n",
      "pin_change                8\n",
      "pay_bill                  8\n",
      "cook_time                 8\n",
      "bill_balance              8\n",
      "book_flight               8\n",
      "book_hotel                8\n",
      "calendar_update           8\n",
      "cancel_reservation        8\n",
      "car_rental                8\n",
      "confirm_reservation       8\n",
      "exchange_rate             8\n",
      "min_payment               8\n",
      "food_last                 8\n",
      "freeze_account            8\n",
      "ingredients_list          8\n",
      "interest_rate             8\n",
      "international_visa        8\n",
      "make_call                 8\n",
      "meal_suggestion           8\n",
      "weather                   8\n",
      "Name: count, dtype: int64\n",
      "(10, 9)\n",
      "split\n",
      "train    400\n",
      "test     120\n",
      "dev       80\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     15\n",
      "balance                   15\n",
      "plug_type                 15\n",
      "recipe                    15\n",
      "restaurant_reservation    15\n",
      "restaurant_reviews        15\n",
      "restaurant_suggestion     15\n",
      "share_location            15\n",
      "shopping_list_update      15\n",
      "spending_history          15\n",
      "text                      15\n",
      "time                      15\n",
      "timezone                  15\n",
      "transactions              15\n",
      "transfer                  15\n",
      "translate                 15\n",
      "travel_notification       15\n",
      "travel_suggestion         15\n",
      "update_playlist           15\n",
      "play_music                15\n",
      "pin_change                15\n",
      "pay_bill                  15\n",
      "cook_time                 15\n",
      "bill_balance              15\n",
      "book_flight               15\n",
      "book_hotel                15\n",
      "calendar_update           15\n",
      "cancel_reservation        15\n",
      "car_rental                15\n",
      "confirm_reservation       15\n",
      "exchange_rate             15\n",
      "min_payment               15\n",
      "food_last                 15\n",
      "freeze_account            15\n",
      "ingredients_list          15\n",
      "interest_rate             15\n",
      "international_visa        15\n",
      "make_call                 15\n",
      "meal_suggestion           15\n",
      "weather                   15\n",
      "Name: count, dtype: int64\n",
      "(25, 9)\n",
      "split\n",
      "train    1000\n",
      "test      320\n",
      "dev       200\n",
      "Name: count, dtype: int64\n",
      "intent\n",
      "alarm                     38\n",
      "balance                   38\n",
      "plug_type                 38\n",
      "recipe                    38\n",
      "restaurant_reservation    38\n",
      "restaurant_reviews        38\n",
      "restaurant_suggestion     38\n",
      "share_location            38\n",
      "shopping_list_update      38\n",
      "spending_history          38\n",
      "text                      38\n",
      "time                      38\n",
      "timezone                  38\n",
      "transactions              38\n",
      "transfer                  38\n",
      "translate                 38\n",
      "travel_notification       38\n",
      "travel_suggestion         38\n",
      "update_playlist           38\n",
      "play_music                38\n",
      "pin_change                38\n",
      "pay_bill                  38\n",
      "cook_time                 38\n",
      "bill_balance              38\n",
      "book_flight               38\n",
      "book_hotel                38\n",
      "calendar_update           38\n",
      "cancel_reservation        38\n",
      "car_rental                38\n",
      "confirm_reservation       38\n",
      "exchange_rate             38\n",
      "min_payment               38\n",
      "food_last                 38\n",
      "freeze_account            38\n",
      "ingredients_list          38\n",
      "interest_rate             38\n",
      "international_visa        38\n",
      "make_call                 38\n",
      "meal_suggestion           38\n",
      "weather                   38\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# eng[\"dev\"] = pd.concat([eng[\"dev\"], eng[\"test\"]])\n",
    "\n",
    "\n",
    "def prepare_df(records, split):\n",
    "    df = pd.concat(records)\n",
    "    df = df[[\"intent\", \"text\"]]\n",
    "    df[\"domain\"] = \"eng\"\n",
    "    df[\"spans\"] = \"\"\n",
    "    df[\"logical_form\"] = \"[SL: \" + df[\"intent\"] + \"]\"\n",
    "    df[\"split\"] = split\n",
    "    return df\n",
    "# \n",
    "for shot in [(5, 1, 2), (10, 2, 3), (25, 5, 8)]:\n",
    "    file = []\n",
    "\n",
    "    # dev\n",
    "    split = \"dev\"\n",
    "    size = shot[1]\n",
    "    df = pd.concat([eng[\"dev\"], eng[\"test\"]])\n",
    "    records = []\n",
    "    for intent in INTENTS:\n",
    "        sliced_df = df[df[\"intent\"] == intent].head(size)\n",
    "        records.append(sliced_df)\n",
    "\n",
    "        if len(sliced_df) < size:\n",
    "            print(split, intent, len(sliced_df))\n",
    "\n",
    "    file.append(prepare_df(records, split))\n",
    "\n",
    "    # test\n",
    "    split = \"test\"\n",
    "    size = shot[2]\n",
    "    df = eng[split]\n",
    "    records = []\n",
    "    train_additional = []\n",
    "    for intent in INTENTS:\n",
    "        sliced_df = df[df[\"intent\"] == intent].tail(size)\n",
    "        records.append(sliced_df)\n",
    "        train_additional.append(df[df[\"intent\"] == intent].tail(size + 5).head(5))\n",
    "        if len(sliced_df) < size:\n",
    "            print(split, intent, len(sliced_df))\n",
    "\n",
    "    file.append(prepare_df(records, split))\n",
    "\n",
    "    # train\n",
    "    split = \"train\"\n",
    "    size = shot[0]\n",
    "    # df = eng[split]\n",
    "    df = pd.concat([eng[split]] + train_additional)\n",
    "    records = []\n",
    "    for intent in INTENTS:\n",
    "        sliced_df = df[df[\"intent\"] == intent].head(size)\n",
    "        records.append(sliced_df)\n",
    "\n",
    "        if len(sliced_df) < size:\n",
    "            print(split, intent, len(sliced_df))\n",
    "            \n",
    "    print(records[-1].shape)\n",
    "    file.append(prepare_df(records, split))\n",
    "\n",
    "    df = pd.concat(file)\n",
    "    df.to_csv(\"data/output/eng_{}shots.csv\".format(shot[0]), index=False)\n",
    "    print(df[\"split\"].value_counts())\n",
    "    print(df[\"intent\"].value_counts())\n"
   ]
  }
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