LLM_ShortPrompt.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IndoML 2023 Tuturial: Part 3\n",
    "## The Era of LLMs!\n",
    "\n",
    "### In-context learning and Prompt Engineering\n",
    "\n",
    "\n",
    "1. We will use recent LLMs like GPT-3/FLAN-T5/LLAMA to query the models in natural language to get answers/predictions.\n",
    "2. These models are finetuned on instructions or human-feedbacks to enable them to perform a task through \"prompting\".\n",
    "3. Best part is we wouldn't need to train our models to get started, direct inference from these pretrained models is fine.\n",
    "    * NOTE: Although there can be methods to finetune these models on our data to get better results, we will not be covering that in this tutorial.\n",
    "\n",
    "### Models that we will try:\n",
    "\n",
    "1. BLOOMZ by bigscience\n",
    "> We present BLOOMZ & mT0, a family of models capable of following human instructions in dozens of languages zero-shot. We finetune BLOOM & mT5 pretrained multilingual language models on our crosslingual task mixture (xP3) and find the resulting models capable of crosslingual generalization to unseen tasks & languages."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load `dataset`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "env: CUDA_VISIBLE_DEVICES=3\n"
     ]
    }
   ],
   "source": [
    "%env CUDA_VISIBLE_DEVICES=3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nlsasfs/home/ttbhashini/arroy/anaconda3/envs/py38-new/lib/python3.8/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "from datasets import load_dataset\n",
    "from transformers import AutoTokenizer, DataCollatorWithPadding\n",
    "\n",
    "tqdm.pandas()\n",
    "\n",
    "dataset = load_dataset(\"AmazonScience/massive\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load `AutoTokenizer` and `AutoModelForSeq2SeqLM`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install -q transformers accelerate bitsandbytes\n",
    "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
    "\n",
    "# checkpoint = \"bigscience/mt0-base\"\n",
    "checkpoint = \"bigscience/bloomz-3b\"\n",
    "# checkpoint = \"google/flan-t5-xxl\"\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(checkpoint)\n",
    "model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map=\"auto\", load_in_4bit=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Specific Example of Prompt Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nlsasfs/home/ttbhashini/arroy/anaconda3/envs/py38-new/lib/python3.8/site-packages/transformers/generation/utils.py:1254: UserWarning: Using the model-agnostic default `max_length` (=20) to control thegeneration length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n",
      "  warnings.warn(\n",
      "/nlsasfs/home/ttbhashini/arroy/anaconda3/envs/py38-new/lib/python3.8/site-packages/transformers/generation/utils.py:1262: UserWarning: Input length of input_ids is 22, but `max_length` is set to 20. This can lead to unexpected behavior. You should consider increasing `max_new_tokens`.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detect the intent class of the utterance.\n",
      "Utterance: I am going to school.; Intent: go\n"
     ]
    }
   ],
   "source": [
    "inputs = tokenizer.encode(\"Detect the intent class of the utterance.\\nUtterance: I am going to school.; Intent:\", return_tensors=\"pt\").to(\"cuda\")\n",
    "outputs = model.generate(inputs)\n",
    "print(tokenizer.decode(outputs[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocessing\n",
    "\n",
    "- We will create prompts for each test sample in the dataset. \n",
    "- There are few ways to format these prompt and this step is called \"Prompt Engineering\".\n",
    "    - Few-shot In-context learning: Use task-description and examples\n",
    "    - Zero-shot In-context learning: Use task-description only"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exemplars for the multilingual intent-detection task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Gather examples from the training dataset\n",
    "import pandas as pd\n",
    "df_train = dataset['train'].to_pandas()\n",
    "\n",
    "# Extract one random sample per intent, we will randomly sample the rows\n",
    "# Hope is that the model will predict english labels for any language that way.\n",
    "df_intent_samples = df_train.groupby(\"intent\").apply(lambda x: x.sample(1, random_state=42)).reset_index(drop=True)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add formatted prompt for each sample\n",
    "def int2str(x):\n",
    "    return dataset['train'].features['intent'].int2str(x)\n",
    "\n",
    "df_intent_samples['example_prompt_format'] = df_intent_samples.apply(lambda x: f'Utterance: {x[\"utt\"]}; Intent: {int2str(x[\"intent\"])}', axis=1)\n",
    "\n",
    "# merge examples into a single string\n",
    "prompt_exemplars = df_intent_samples['example_prompt_format'].sample(10).str.cat(sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n"
     ]
    }
   ],
   "source": [
    "print(prompt_exemplars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = df_intent_samples[\"intent\"].values.tolist()\n",
    "c_str = \", \".join([int2str(c) for c in classes])\n",
    "c_str = f\"[{c_str}]\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Detect intent of the input utterance.\n",
      "\n",
      "* All possible classes are [datetime_query, iot_hue_lightchange, transport_ticket, takeaway_query, qa_stock, general_greet, recommendation_events, music_dislikeness, iot_wemo_off, cooking_recipe, qa_currency, transport_traffic, general_quirky, weather_query, audio_volume_up, email_addcontact, takeaway_order, email_querycontact, iot_hue_lightup, recommendation_locations, play_audiobook, lists_createoradd, news_query, alarm_query, iot_wemo_on, general_joke, qa_definition, social_query, music_settings, audio_volume_other, calendar_remove, iot_hue_lightdim, calendar_query, email_sendemail, iot_cleaning, audio_volume_down, play_radio, cooking_query, datetime_convert, qa_maths, iot_hue_lightoff, iot_hue_lighton, transport_query, music_likeness, email_query, play_music, audio_volume_mute, social_post, alarm_set, qa_factoid, calendar_set, play_game, alarm_remove, lists_remove, transport_taxi, recommendation_movies, iot_coffee, music_query, play_podcasts, lists_query]\n"
     ]
    }
   ],
   "source": [
    "task_instruction = f\"# Detect intent of the input utterance.\\n\\n* All possible classes are {c_str}\"\n",
    "print(task_instruction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate prompts for each query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Map: 100%|██████████| 103683/103683 [01:06<00:00, 1548.13 examples/s]\n"
     ]
    }
   ],
   "source": [
    "# Add a new feature column to the dataset\n",
    "# Prompt: What is the intent of the following sentence?\\m \"{utt}\"\n",
    "\n",
    "few_shot = True\n",
    "def add_prompt(example):\n",
    "    if few_shot:\n",
    "        example[\"prompt\"] = f'{task_instruction}\\n\\n{prompt_exemplars}\\nUtterance: {example[\"utt\"]}; Intent:'\n",
    "    else:\n",
    "        example[\"prompt\"] = f'{task_instruction}\\n\\nUtterance: {example[\"utt\"]}; Intent:'\n",
    "    \n",
    "    example[\"str_label\"] = int2str(example[\"intent\"])\n",
    "    return example\n",
    "\n",
    "\n",
    "extended_eval_set = dataset['validation'].map(add_prompt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': '11',\n",
       " 'locale': 'mn-MN',\n",
       " 'partition': 'dev',\n",
       " 'scenario': 8,\n",
       " 'intent': 40,\n",
       " 'utt': 'гэрлийг унтраа',\n",
       " 'annot_utt': 'гэрлийг унтраа',\n",
       " 'worker_id': '5',\n",
       " 'slot_method': {'slot': [], 'method': []},\n",
       " 'judgments': {'worker_id': ['43', '4', '30'],\n",
       "  'intent_score': [1, 1, 1],\n",
       "  'slots_score': [1, 1, 1],\n",
       "  'grammar_score': [4, 3, 4],\n",
       "  'spelling_score': [2, 2, 2],\n",
       "  'language_identification': ['target', 'target', 'target']},\n",
       " 'prompt': '# Detect intent of the input utterance.\\n\\n* All possible classes are [datetime_query, iot_hue_lightchange, transport_ticket, takeaway_query, qa_stock, general_greet, recommendation_events, music_dislikeness, iot_wemo_off, cooking_recipe, qa_currency, transport_traffic, general_quirky, weather_query, audio_volume_up, email_addcontact, takeaway_order, email_querycontact, iot_hue_lightup, recommendation_locations, play_audiobook, lists_createoradd, news_query, alarm_query, iot_wemo_on, general_joke, qa_definition, social_query, music_settings, audio_volume_other, calendar_remove, iot_hue_lightdim, calendar_query, email_sendemail, iot_cleaning, audio_volume_down, play_radio, cooking_query, datetime_convert, qa_maths, iot_hue_lightoff, iot_hue_lighton, transport_query, music_likeness, email_query, play_music, audio_volume_mute, social_post, alarm_set, qa_factoid, calendar_set, play_game, alarm_remove, lists_remove, transport_taxi, recommendation_movies, iot_coffee, music_query, play_podcasts, lists_query]\\n\\nUtterance: tämä on hyvä laulu; Intent: music_likeness\\nUtterance: תכין קפה; Intent: iot_coffee\\nUtterance: jakie filmy grają niedaleko; Intent: recommendation_movies\\nUtterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\\nUtterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\\nUtterance: tiešsaistes šovu atgādinājumi; Intent: social_query\\nUtterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\\nUtterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\\nUtterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\\nUtterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\\nUtterance: гэрлийг унтраа; Intent:',\n",
       " 'str_label': 'iot_hue_lightoff'}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extended_eval_set[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now let's try to predict using the LLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Detect intent of the input utterance.\n",
      "\n",
      "* All possible classes are [datetime_query, iot_hue_lightchange, transport_ticket, takeaway_query, qa_stock, general_greet, recommendation_events, music_dislikeness, iot_wemo_off, cooking_recipe, qa_currency, transport_traffic, general_quirky, weather_query, audio_volume_up, email_addcontact, takeaway_order, email_querycontact, iot_hue_lightup, recommendation_locations, play_audiobook, lists_createoradd, news_query, alarm_query, iot_wemo_on, general_joke, qa_definition, social_query, music_settings, audio_volume_other, calendar_remove, iot_hue_lightdim, calendar_query, email_sendemail, iot_cleaning, audio_volume_down, play_radio, cooking_query, datetime_convert, qa_maths, iot_hue_lightoff, iot_hue_lighton, transport_query, music_likeness, email_query, play_music, audio_volume_mute, social_post, alarm_set, qa_factoid, calendar_set, play_game, alarm_remove, lists_remove, transport_taxi, recommendation_movies, iot_coffee, music_query, play_podcasts, lists_query]\n",
      "\n",
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n",
      "Utterance: яг одоо кофе бэлд; Intent:\n",
      "# Detect intent of the input utterance.\n",
      "\n",
      "* All possible classes are [datetime_query, iot_hue_lightchange, transport_ticket, takeaway_query, qa_stock, general_greet, recommendation_events, music_dislikeness, iot_wemo_off, cooking_recipe, qa_currency, transport_traffic, general_quirky, weather_query, audio_volume_up, email_addcontact, takeaway_order, email_querycontact, iot_hue_lightup, recommendation_locations, play_audiobook, lists_createoradd, news_query, alarm_query, iot_wemo_on, general_joke, qa_definition, social_query, music_settings, audio_volume_other, calendar_remove, iot_hue_lightdim, calendar_query, email_sendemail, iot_cleaning, audio_volume_down, play_radio, cooking_query, datetime_convert, qa_maths, iot_hue_lightoff, iot_hue_lighton, transport_query, music_likeness, email_query, play_music, audio_volume_mute, social_post, alarm_set, qa_factoid, calendar_set, play_game, alarm_remove, lists_remove, transport_taxi, recommendation_movies, iot_coffee, music_query, play_podcasts, lists_query]\n",
      "\n",
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n",
      "Utterance: яг одоо кофе бэлд; Intent: iot_coffee\n"
     ]
    }
   ],
   "source": [
    "print(extended_eval_set[100]['prompt'])\n",
    "\n",
    "x = extended_eval_set[100]['prompt']\n",
    "tok_x = tokenizer(x, return_tensors=\"pt\")\n",
    "y = model.generate(tok_x['input_ids'].to(\"cuda\"), num_beams=5, num_return_sequences=5, max_length=2000)\n",
    "output = tokenizer.decode(y[0], skip_special_tokens=True)\n",
    "print(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "N_class = dataset['train'].features['intent'].num_classes\n",
    "str2int = {}\n",
    "for i in range(N_class):\n",
    "    str2int[int2str(i)] = i\n",
    "\n",
    "def parse_prediction(prompt, output_txt):\n",
    "    # take the diff between the prompt and the generated text\n",
    "    # cut it till the first \\n\n",
    "    pred_class = output_txt[len(prompt):].split('\\n')[0].strip()\n",
    "\n",
    "    # Check if it matches any label in the dataset\n",
    "    if pred_class in str2int:\n",
    "        return str2int[pred_class], pred_class\n",
    "    else:\n",
    "        return -1, pred_class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['alarm_query',\n",
       " 'alarm_remove',\n",
       " 'alarm_set',\n",
       " 'audio_volume_down',\n",
       " 'audio_volume_mute',\n",
       " 'audio_volume_other',\n",
       " 'audio_volume_up',\n",
       " 'calendar_query',\n",
       " 'calendar_remove',\n",
       " 'calendar_set',\n",
       " 'cooking_query',\n",
       " 'cooking_recipe',\n",
       " 'datetime_convert',\n",
       " 'datetime_query',\n",
       " 'email_addcontact',\n",
       " 'email_query',\n",
       " 'email_querycontact',\n",
       " 'email_sendemail',\n",
       " 'general_greet',\n",
       " 'general_joke',\n",
       " 'general_quirky',\n",
       " 'iot_cleaning',\n",
       " 'iot_coffee',\n",
       " 'iot_hue_lightchange',\n",
       " 'iot_hue_lightdim',\n",
       " 'iot_hue_lightoff',\n",
       " 'iot_hue_lighton',\n",
       " 'iot_hue_lightup',\n",
       " 'iot_wemo_off',\n",
       " 'iot_wemo_on',\n",
       " 'lists_createoradd',\n",
       " 'lists_query',\n",
       " 'lists_remove',\n",
       " 'music_dislikeness',\n",
       " 'music_likeness',\n",
       " 'music_query',\n",
       " 'music_settings',\n",
       " 'news_query',\n",
       " 'play_audiobook',\n",
       " 'play_game',\n",
       " 'play_music',\n",
       " 'play_podcasts',\n",
       " 'play_radio',\n",
       " 'qa_currency',\n",
       " 'qa_definition',\n",
       " 'qa_factoid',\n",
       " 'qa_maths',\n",
       " 'qa_stock',\n",
       " 'recommendation_events',\n",
       " 'recommendation_locations',\n",
       " 'recommendation_movies',\n",
       " 'social_post',\n",
       " 'social_query',\n",
       " 'takeaway_order',\n",
       " 'takeaway_query',\n",
       " 'transport_query',\n",
       " 'transport_taxi',\n",
       " 'transport_ticket',\n",
       " 'transport_traffic',\n",
       " 'weather_query']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(list(str2int.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(56, 'iot_coffee')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parse_prediction(x, output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup Evaluation Metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import evaluate\n",
    "\n",
    "metric_acc = evaluate.load(\"accuracy\")\n",
    "metric_f1 = evaluate.load(\"f1\")\n",
    "\n",
    "# We need to define a compute_metric function that is supported by the Trainer output\n",
    "# It basically converts the logits to predictions and then calls the metric\n",
    "def compute_metrics(eval_pred):\n",
    "    logits, labels = eval_pred\n",
    "    predictions = np.argmax(logits, axis=-1)\n",
    "    # print(\"Predictions: \", predictions)\n",
    "    # print(\"Labels: \", labels)\n",
    "    return metric_f1.compute(predictions=predictions, references=labels, average=\"macro\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select a smaller subset for evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "# Select random samples from above subsets\n",
    "n_eval = 600\n",
    "eval_indices = random.sample(range(len(extended_eval_set)), n_eval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "eval_data_subset = extended_eval_set.select(eval_indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 600/600 [09:08<00:00,  1.09it/s]\n"
     ]
    }
   ],
   "source": [
    "# Gather prediction for the eval set\n",
    "outputs = []\n",
    "for i in tqdm(range(len(eval_data_subset))):\n",
    "    x = eval_data_subset[i]['prompt']\n",
    "    tok_x = tokenizer(x, return_tensors=\"pt\")\n",
    "    y = model.generate(tok_x['input_ids'].to(\"cuda\"), num_beams=3, num_return_sequences=3, max_length=2000)\n",
    "    all_predictions = []\n",
    "    for j in range(len(y)):\n",
    "        output = tokenizer.decode(y[j], skip_special_tokens=True)\n",
    "        all_predictions.append(output)\n",
    "    outputs.append(all_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 600/600 [00:00<00:00, 2796.01it/s]\n"
     ]
    }
   ],
   "source": [
    "# Parse the predictions\n",
    "parsed_predictions = []\n",
    "for i in tqdm(range(len(eval_data_subset))):\n",
    "    x = eval_data_subset[i]['prompt']\n",
    "    all_predictions = outputs[i]\n",
    "    parsed_predictions.append([parse_prediction(x, output) for output in all_predictions])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[(3, 'takeaway_query'), (16, 'takeaway_order'), (2, 'transport_ticket')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (6, 'recommendation_events')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(11, 'transport_traffic'), (42, 'transport_query'), (54, 'transport_taxi')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(2, 'transport_ticket'), (11, 'transport_traffic'), (3, 'takeaway_query')],\n",
       " [(6, 'recommendation_events'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (45, 'play_music')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (21, 'lists_createoradd'),\n",
       "  (-1, 'listsCreateoradd')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(9, 'cooking_recipe'), (37, 'cooking_query'), (3, 'takeaway_query')],\n",
       " [(-1, 'travel_traffic'), (-1, 'travel_ticket'), (6, 'recommendation_events')],\n",
       " [(45, 'play_music'), (0, 'datetime_query'), (32, 'calendar_query')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(7, 'music_dislikeness'), (8, 'iot_wemo_off'), (17, 'email_querycontact')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(3, 'takeaway_query'), (-1, 'travel_ticket'), (45, 'play_music')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(13, 'weather_query'), (-1, 'travel_traffic'), (8, 'iot_wemo_off')],\n",
       " [(36, 'play_radio'), (7, 'music_dislikeness'), (45, 'play_music')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(23, 'alarm_query'), (48, 'alarm_set'), (52, 'alarm_remove')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (16, 'takeaway_order')],\n",
       " [(45, 'play_music'), (36, 'play_radio'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (11, 'transport_traffic')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(36, 'play_radio'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(6, 'recommendation_events'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (24, 'iot_wemo_on')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(8, 'iot_wemo_off'), (30, 'calendar_remove'), (-1, 'travel_traffic')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(15, 'email_addcontact'), (21, 'lists_createoradd'), (47, 'social_post')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (24, 'iot_wemo_on')],\n",
       " [(19, 'recommendation_locations'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (11, 'transport_traffic')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (-1, 'travel_traffic'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (51, 'play_game'), (42, 'transport_query')],\n",
       " [(3, 'takeaway_query'), (10, 'qa_currency'), (49, 'qa_factoid')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (28, 'music_settings')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (11, 'transport_traffic'),\n",
       "  (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (30, 'calendar_remove')],\n",
       " [(35, 'audio_volume_down'), (24, 'iot_wemo_on'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(8, 'iot_wemo_off'), (13, 'weather_query'), (24, 'iot_wemo_on')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_ticket'), (45, 'play_music')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_traffic'), (-1, 'travel_ticket')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (24, 'iot_wemo_on')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (11, 'transport_traffic')],\n",
       " [(0, 'datetime_query'), (8, 'iot_wemo_off'), (24, 'iot_wemo_on')],\n",
       " [(31, 'iot_hue_lightdim'), (32, 'calendar_query'), (20, 'play_audiobook')],\n",
       " [(0, 'datetime_query'), (13, 'weather_query'), (24, 'iot_wemo_on')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(13, 'weather_query'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(35, 'audio_volume_down'), (46, 'audio_volume_mute'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (30, 'calendar_remove'), (-1, 'travel_ticket')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (8, 'iot_wemo_off'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (36, 'play_radio')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(11, 'transport_traffic'), (2, 'transport_ticket'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (11, 'transport_traffic')],\n",
       " [(32, 'calendar_query'), (8, 'iot_wemo_off'), (45, 'play_music')],\n",
       " [(16, 'takeaway_order'), (-1, 'travel_ticket'), (3, 'takeaway_query')],\n",
       " [(23, 'alarm_query'), (48, 'alarm_set'), (52, 'alarm_remove')],\n",
       " [(45, 'play_music'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (58, 'play_podcasts'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (6, 'recommendation_events')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (6, 'recommendation_events')],\n",
       " [(-1, 'travel_ticket'), (32, 'calendar_query'), (-1, 'travel_traffic')],\n",
       " [(32, 'calendar_query'), (45, 'play_music'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (7, 'music_dislikeness')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (19, 'recommendation_locations'),\n",
       "  (8, 'iot_wemo_off')],\n",
       " [(13, 'weather_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(49, 'qa_factoid'), (2, 'transport_ticket'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (7, 'music_dislikeness'), (-1, 'travel_ticket')],\n",
       " [(23, 'alarm_query'), (48, 'alarm_set'), (52, 'alarm_remove')],\n",
       " [(7, 'music_dislikeness'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(0, 'datetime_query'), (17, 'email_querycontact'), (3, 'takeaway_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (20, 'play_audiobook')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (30, 'calendar_remove')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(6, 'recommendation_events'), (8, 'iot_wemo_off'), (40, 'iot_hue_lightoff')],\n",
       " [(-1, 'travel_ticket'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(11, 'transport_traffic'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(24, 'iot_wemo_on'), (8, 'iot_wemo_off'), (11, 'transport_traffic')],\n",
       " [(16, 'takeaway_order'), (3, 'takeaway_query'), (-1, 'travel_ticket')],\n",
       " [(35, 'audio_volume_down'), (46, 'audio_volume_mute'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (15, 'email_addcontact')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_traffic'), (-1, 'travel_ticket')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (-1, 'travel_ticket'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(21, 'lists_createoradd'), (53, 'lists_remove'), (30, 'calendar_remove')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(23, 'alarm_query'), (48, 'alarm_set'), (52, 'alarm_remove')],\n",
       " [(-1, 'travel_ticket'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (45, 'play_music'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(6, 'recommendation_events'), (-1, 'travel_ticket'), (32, 'calendar_query')],\n",
       " [(21, 'lists_createoradd'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(7, 'music_dislikeness'), (28, 'music_settings'), (45, 'play_music')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (35, 'audio_volume_down'), (46, 'audio_volume_mute')],\n",
       " [(0, 'datetime_query'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (21, 'lists_createoradd'), (7, 'music_dislikeness')],\n",
       " [(-1, 'travel_ticket'), (3, 'takeaway_query'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (-1, 'travel_ticket')],\n",
       " [(11, 'transport_traffic'), (54, 'transport_taxi'), (2, 'transport_ticket')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (35, 'audio_volume_down')],\n",
       " [(58, 'play_podcasts'), (45, 'play_music'), (58, 'play_podcasts')],\n",
       " [(6, 'recommendation_events'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (8, 'iot_wemo_off'), (42, 'transport_query')],\n",
       " [(45, 'play_music'), (17, 'email_querycontact'), (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(8, 'iot_wemo_off'), (32, 'calendar_query'), (-1, 'travel_ticket')],\n",
       " [(17, 'email_querycontact'), (-1, 'travel_ticket'), (15, 'email_addcontact')],\n",
       " [(21, 'lists_createoradd'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_traffic'),\n",
       "  (32, 'calendar_query'),\n",
       "  (6, 'recommendation_events')],\n",
       " [(26, 'qa_definition'), (49, 'qa_factoid'), (-1, 'iot_factoid')],\n",
       " [(10, 'qa_currency'), (49, 'qa_factoid'), (3, 'takeaway_query')],\n",
       " [(2, 'transport_ticket'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (11, 'transport_traffic')],\n",
       " [(11, 'transport_traffic'), (49, 'qa_factoid'), (10, 'qa_currency')],\n",
       " [(45, 'play_music'), (30, 'calendar_remove'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (-1, 'travel_ticket')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(16, 'takeaway_order'), (-1, 'travel_ticket'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (-1, 'travel_query')],\n",
       " [(11, 'transport_traffic'), (49, 'qa_factoid'), (2, 'transport_ticket')],\n",
       " [(7, 'music_dislikeness'),\n",
       "  (11, 'transport_traffic'),\n",
       "  (40, 'iot_hue_lightoff')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (46, 'audio_volume_mute')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(24, 'iot_wemo_on'), (11, 'transport_traffic'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (32, 'calendar_query')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (7, 'music_dislikeness')],\n",
       " [(7, 'music_dislikeness'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (17, 'email_querycontact')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_traffic')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(10, 'qa_currency'), (49, 'qa_factoid'), (3, 'takeaway_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (49, 'qa_factoid')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(8, 'iot_wemo_off'), (24, 'iot_wemo_on'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (24, 'iot_wemo_on')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(21, 'lists_createoradd'), (3, 'takeaway_query'), (16, 'takeaway_order')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'),\n",
       "  (-1, 'transport_transport'),\n",
       "  (2, 'transport_ticket')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (33, 'email_sendemail')],\n",
       " [(7, 'music_dislikeness'), (43, 'music_likeness'), (8, 'iot_wemo_off')],\n",
       " [(49, 'qa_factoid'), (10, 'qa_currency'), (24, 'iot_wemo_on')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (0, 'datetime_query'), (32, 'calendar_query')],\n",
       " [(13, 'weather_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(51, 'play_game'), (21, 'lists_createoradd'), (-1, 'play_solitaire')],\n",
       " [(7, 'music_dislikeness'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (46, 'audio_volume_mute'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (30, 'calendar_remove'), (24, 'iot_wemo_on')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'), (6, 'recommendation_events'), (47, 'social_post')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (8, 'iot_wemo_off'), (-1, 'travel_traffic')],\n",
       " [(0, 'datetime_query'), (30, 'calendar_remove'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (28, 'music_settings'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (15, 'email_addcontact'), (-1, 'travel_traffic')],\n",
       " [(16, 'takeaway_order'), (3, 'takeaway_query'), (-1, 'takeaway_quer')],\n",
       " [(-1, 'travel_ticket'), (16, 'takeaway_order'), (3, 'takeaway_query')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (24, 'iot_wemo_on')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (7, 'music_dislikeness')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (21, 'lists_createoradd'),\n",
       "  (47, 'social_post')],\n",
       " [(11, 'transport_traffic'), (16, 'takeaway_order'), (45, 'play_music')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (21, 'lists_createoradd'), (6, 'recommendation_events')],\n",
       " [(13, 'weather_query'), (7, 'music_dislikeness'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (6, 'recommendation_events')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(11, 'transport_traffic'), (16, 'takeaway_order'), (24, 'iot_wemo_on')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(30, 'calendar_remove'), (52, 'alarm_remove'), (23, 'alarm_query')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_ticket'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (32, 'calendar_query')],\n",
       " [(49, 'qa_factoid'), (39, 'qa_maths'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (58, 'play_podcasts'), (36, 'play_radio')],\n",
       " [(13, 'weather_query'), (-1, 'temperature_query'), (0, 'datetime_query')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(0, 'datetime_query'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'play_solitaire')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (-1, 'travel_traffic')],\n",
       " [(23, 'alarm_query'), (48, 'alarm_set'), (52, 'alarm_remove')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(30, 'calendar_remove'), (23, 'alarm_query'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (17, 'email_querycontact'), (32, 'calendar_query')],\n",
       " [(17, 'email_querycontact'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'), (33, 'email_sendemail'), (8, 'iot_wemo_off')],\n",
       " [(16, 'takeaway_order'), (45, 'play_music'), (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (21, 'lists_createoradd'), (20, 'play_audiobook')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (34, 'iot_cleaning')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (2, 'transport_ticket')],\n",
       " [(21, 'lists_createoradd'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_ticket'), (2, 'transport_ticket'), (11, 'transport_traffic')],\n",
       " [(51, 'play_game'), (32, 'calendar_query'), (42, 'transport_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (24, 'iot_wemo_on')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(8, 'iot_wemo_off'), (24, 'iot_wemo_on'), (32, 'calendar_query')],\n",
       " [(21, 'lists_createoradd'), (21, 'lists_createoradd'), (59, 'lists_query')],\n",
       " [(15, 'email_addcontact'), (17, 'email_querycontact'), (3, 'takeaway_query')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (6, 'recommendation_events')],\n",
       " [(17, 'email_querycontact'), (33, 'email_sendemail'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(20, 'play_audiobook'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (11, 'transport_traffic')],\n",
       " [(36, 'play_radio'), (45, 'play_music'), (-1, 'radio_query')],\n",
       " [(8, 'iot_wemo_off'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(30, 'calendar_remove'), (21, 'lists_createoradd'), (32, 'calendar_query')],\n",
       " [(28, 'music_settings'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(13, 'weather_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(7, 'music_dislikeness'), (8, 'iot_wemo_off'), (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (35, 'audio_volume_down'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (30, 'calendar_remove'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (37, 'cooking_query'), (49, 'qa_factoid')],\n",
       " [(15, 'email_addcontact'), (32, 'calendar_query'), (-1, 'internet_query')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (45, 'play_music'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(14, 'audio_volume_up'),\n",
       "  (46, 'audio_volume_mute'),\n",
       "  (35, 'audio_volume_down')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_ticket'), (2, 'transport_ticket')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (11, 'transport_traffic')],\n",
       " [(0, 'datetime_query'), (-1, 'travel_traffic'), (32, 'calendar_query')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(13, 'weather_query'), (-1, 'temperature_query'), (24, 'iot_wemo_on')],\n",
       " [(8, 'iot_wemo_off'), (32, 'calendar_query'), (-1, 'travel_traffic')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (27, 'social_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(30, 'calendar_remove'), (8, 'iot_wemo_off'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (7, 'music_dislikeness')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(8, 'iot_wemo_off'), (24, 'iot_wemo_on'), (45, 'play_music')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(8, 'iot_wemo_off'), (13, 'weather_query'), (45, 'play_music')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (40, 'iot_hue_lightoff'), (24, 'iot_wemo_on')],\n",
       " [(15, 'email_addcontact'), (17, 'email_querycontact'), (-1, 'travel_ticket')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (24, 'iot_wemo_on')],\n",
       " [(45, 'play_music'), (-1, 'travel_traffic'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(6, 'recommendation_events'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (11, 'transport_traffic')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (15, 'email_addcontact')],\n",
       " [(35, 'audio_volume_down'),\n",
       "  (46, 'audio_volume_mute'),\n",
       "  (32, 'calendar_query')],\n",
       " [(21, 'lists_createoradd'), (53, 'lists_remove'), (59, 'lists_query')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (47, 'social_post'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (11, 'transport_traffic')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (6, 'recommendation_events')],\n",
       " [(30, 'calendar_remove'), (48, 'alarm_set'), (32, 'calendar_query')],\n",
       " [(48, 'alarm_set'), (30, 'calendar_remove'), (23, 'alarm_query')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (2, 'transport_ticket')],\n",
       " [(32, 'calendar_query'), (21, 'lists_createoradd'), (30, 'calendar_remove')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (14, 'audio_volume_up')],\n",
       " [(7, 'music_dislikeness'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(23, 'alarm_query'), (30, 'calendar_remove'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (-1, 'travel_traffic'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_traffic'), (6, 'recommendation_events')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (3, 'takeaway_query'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (2, 'transport_ticket')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (2, 'transport_ticket')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (-1, 'travel_ticket')],\n",
       " [(2, 'transport_ticket'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (21, 'lists_createoradd')],\n",
       " [(8, 'iot_wemo_off'), (7, 'music_dislikeness'), (15, 'email_addcontact')],\n",
       " [(11, 'transport_traffic'), (2, 'transport_ticket'), (42, 'transport_query')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (28, 'music_settings'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (-1, 'travel')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (36, 'play_radio')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (-1, 'travel_ticket'), (45, 'play_music')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (28, 'music_settings')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (34, 'iot_cleaning')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'), (33, 'email_sendemail'), (8, 'iot_wemo_off')],\n",
       " [(20, 'play_audiobook'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(3, 'takeaway_query'), (2, 'transport_ticket'), (16, 'takeaway_order')],\n",
       " [(23, 'alarm_query'), (30, 'calendar_remove'), (52, 'alarm_remove')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (7, 'music_dislikeness')],\n",
       " [(8, 'iot_wemo_off'), (32, 'calendar_query'), (40, 'iot_hue_lightoff')],\n",
       " [(15, 'email_addcontact'), (21, 'lists_createoradd'), (24, 'iot_wemo_on')],\n",
       " [(15, 'email_addcontact'), (6, 'recommendation_events'), (45, 'play_music')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (19, 'recommendation_locations'),\n",
       "  (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(2, 'transport_ticket'), (3, 'takeaway_query'), (-1, 'travel_ticket')],\n",
       " [(11, 'transport_traffic'), (54, 'transport_taxi'), (42, 'transport_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(26, 'qa_definition'), (49, 'qa_factoid'), (26, 'qa_definition')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (24, 'iot_wemo_on')],\n",
       " [(15, 'email_addcontact'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(36, 'play_radio'), (20, 'play_audiobook'), (46, 'audio_volume_mute')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(36, 'play_radio'), (45, 'play_music'), (35, 'audio_volume_down')],\n",
       " [(-1, 'travel_traffic'), (11, 'transport_traffic'), (13, 'weather_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (35, 'audio_volume_down')],\n",
       " [(10, 'qa_currency'), (49, 'qa_factoid'), (2, 'transport_ticket')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (17, 'email_querycontact'), (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (7, 'music_dislikeness')],\n",
       " [(36, 'play_radio'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(11, 'transport_traffic'), (32, 'calendar_query'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (22, 'news_query'), (32, 'calendar_query')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(0, 'datetime_query'), (-1, 'travel_ticket'), (32, 'calendar_query')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (24, 'iot_wemo_on')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_ticket'), (45, 'play_music'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (30, 'calendar_remove'), (24, 'iot_wemo_on')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'), (24, 'iot_wemo_on'), (33, 'email_sendemail')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (17, 'email_querycontact')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (32, 'calendar_query'),\n",
       "  (6, 'recommendation_events')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(21, 'lists_createoradd'), (15, 'email_addcontact'), (22, 'news_query')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (15, 'email_addcontact')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(-1, 'travel_traffic'), (11, 'transport_traffic'), (8, 'iot_wemo_off')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (28, 'music_settings'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (-1, 'travel_ticket')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(49, 'qa_factoid'), (39, 'qa_maths'), (10, 'qa_currency')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (2, 'transport_ticket')],\n",
       " [(3, 'takeaway_query'), (10, 'qa_currency'), (56, 'iot_coffee')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_ticket'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(13, 'weather_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(8, 'iot_wemo_off'), (32, 'calendar_query'), (-1, 'travel_ticket')],\n",
       " [(30, 'calendar_remove'), (8, 'iot_wemo_off'), (11, 'transport_traffic')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (-1, 'travel_traffic')],\n",
       " [(2, 'transport_ticket'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(11, 'transport_traffic'), (54, 'transport_taxi'), (-1, 'travel_ticket')],\n",
       " [(21, 'lists_createoradd'), (21, 'lists_createoradd'), (34, 'iot_cleaning')],\n",
       " [(58, 'play_podcasts'), (45, 'play_music'), (58, 'play_podcasts')],\n",
       " [(51, 'play_game'), (21, 'lists_createoradd'), (32, 'calendar_query')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'), (47, 'social_post'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_ticket'), (6, 'recommendation_events'), (32, 'calendar_query')],\n",
       " [(37, 'cooking_query'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (0, 'datetime_query'), (24, 'iot_wemo_on')],\n",
       " [(-1, 'travel_ticket'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (11, 'transport_traffic')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (45, 'play_music')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (21, 'lists_createoradd')],\n",
       " [(21, 'lists_createoradd'), (21, 'lists_createoradd'), (59, 'lists_query')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (15, 'email_addcontact')],\n",
       " [(-1, 'travel_ticket'), (23, 'alarm_query'), (33, 'email_sendemail')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (24, 'iot_wemo_on')],\n",
       " [(20, 'play_audiobook'), (46, 'audio_volume_mute'), (20, 'play_audiobook')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (30, 'calendar_remove')],\n",
       " [(-1, 'travel_traffic'), (-1, 'travel_query'), (11, 'transport_traffic')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(6, 'recommendation_events'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(23, 'alarm_query'), (52, 'alarm_remove'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (8, 'iot_wemo_off'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_ticket'),\n",
       "  (6, 'recommendation_events'),\n",
       "  (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (35, 'audio_volume_down')],\n",
       " [(17, 'email_querycontact'), (32, 'calendar_query'), (-1, 'travel_ticket')],\n",
       " [(2, 'transport_ticket'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(3, 'takeaway_query'), (16, 'takeaway_order'), (56, 'iot_coffee')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (52, 'alarm_remove')],\n",
       " [(20, 'play_audiobook'), (8, 'iot_wemo_off'), (24, 'iot_wemo_on')],\n",
       " [(7, 'music_dislikeness'), (28, 'music_settings'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (20, 'play_audiobook')],\n",
       " [(7, 'music_dislikeness'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(6, 'recommendation_events'),\n",
       "  (-1, 'travel_ticket'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (35, 'audio_volume_down')],\n",
       " [(10, 'qa_currency'), (49, 'qa_factoid'), (3, 'takeaway_query')],\n",
       " [(45, 'play_music'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(7, 'music_dislikeness'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(15, 'email_addcontact'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(23, 'alarm_query'), (8, 'iot_wemo_off'), (30, 'calendar_remove')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (-1, 'travel_ticket')],\n",
       " [(6, 'recommendation_events'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(-1, 'alcohol_query'), (49, 'qa_factoid'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (30, 'calendar_remove')],\n",
       " [(54, 'transport_taxi'), (11, 'transport_traffic'), (16, 'takeaway_order')],\n",
       " [(7, 'music_dislikeness'), (8, 'iot_wemo_off'), (45, 'play_music')],\n",
       " [(7, 'music_dislikeness'), (-1, 'travel_ticket'), (13, 'weather_query')],\n",
       " [(45, 'play_music'), (32, 'calendar_query'), (-1, 'travel_traffic')],\n",
       " [(13, 'weather_query'), (45, 'play_music'), (24, 'iot_wemo_on')],\n",
       " [(3, 'takeaway_query'), (-1, 'travel_ticket'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(30, 'calendar_remove'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(8, 'iot_wemo_off'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (15, 'email_addcontact')],\n",
       " [(2, 'transport_ticket'),\n",
       "  (-1, 'travel_ticket'),\n",
       "  (6, 'recommendation_events')],\n",
       " [(32, 'calendar_query'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(0, 'datetime_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (28, 'music_settings'), (32, 'calendar_query')],\n",
       " [(52, 'alarm_remove'), (23, 'alarm_query'), (48, 'alarm_set')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (3, 'takeaway_query'), (16, 'takeaway_order')],\n",
       " [(-1, 'travel_ticket'), (8, 'iot_wemo_off'), (-1, 'travel_traffic')],\n",
       " [(21, 'lists_createoradd'), (45, 'play_music'), (6, 'recommendation_events')],\n",
       " [(28, 'music_settings'), (24, 'iot_wemo_on'), (35, 'audio_volume_down')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (21, 'lists_createoradd'), (8, 'iot_wemo_off')],\n",
       " [(11, 'transport_traffic'),\n",
       "  (2, 'transport_ticket'),\n",
       "  (-1, 'transport_transport')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(13, 'weather_query'), (-1, 'Weather_query'), (-1, 'forecast')],\n",
       " [(3, 'takeaway_query'), (-1, 'finance_query'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (-1, 'travel_traffic'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(45, 'play_music'), (36, 'play_radio'), (7, 'music_dislikeness')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (30, 'calendar_remove')],\n",
       " [(6, 'recommendation_events'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(45, 'play_music'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(16, 'takeaway_order'), (45, 'play_music'), (3, 'takeaway_query')],\n",
       " [(23, 'alarm_query'), (52, 'alarm_remove'), (48, 'alarm_set')],\n",
       " [(45, 'play_music'), (35, 'audio_volume_down'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (32, 'calendar_query'), (24, 'iot_wemo_on')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (6, 'recommendation_events')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(45, 'play_music'), (8, 'iot_wemo_off'), (20, 'play_audiobook')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (28, 'music_settings')],\n",
       " [(2, 'transport_ticket'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(8, 'iot_wemo_off'), (45, 'play_music'), (40, 'iot_hue_lightoff')],\n",
       " [(45, 'play_music'), (17, 'email_querycontact'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (47, 'social_post'), (58, 'play_podcasts')],\n",
       " [(45, 'play_music'), (-1, 'travel_ticket'), (16, 'takeaway_order')],\n",
       " [(8, 'iot_wemo_off'), (24, 'iot_wemo_on'), (45, 'play_music')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (-1, 'Weather_query')],\n",
       " [(23, 'alarm_query'), (52, 'alarm_remove'), (48, 'alarm_set')],\n",
       " [(13, 'weather_query'), (-1, 'travel_traffic'), (6, 'recommendation_events')],\n",
       " [(45, 'play_music'), (51, 'play_game'), (-1, 'travel_ticket')],\n",
       " [(3, 'takeaway_query'), (10, 'qa_currency'), (10, 'qa_currency')],\n",
       " [(45, 'play_music'), (11, 'transport_traffic'), (8, 'iot_wemo_off')],\n",
       " [(33, 'email_sendemail'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (33, 'email_sendemail'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(7, 'music_dislikeness'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (17, 'email_querycontact'), (8, 'iot_wemo_off')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (33, 'email_sendemail')],\n",
       " [(15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact')],\n",
       " [(15, 'email_addcontact'), (6, 'recommendation_events'), (8, 'iot_wemo_off')],\n",
       " [(13, 'weather_query'), (24, 'iot_wemo_on'), (8, 'iot_wemo_off')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (36, 'play_radio'), (46, 'audio_volume_mute')],\n",
       " [(22, 'news_query'), (22, 'news_query'), (8, 'iot_wemo_off')],\n",
       " [(21, 'lists_createoradd'),\n",
       "  (21, 'lists_createoradd'),\n",
       "  (30, 'calendar_remove')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (34, 'iot_cleaning')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (8, 'iot_wemo_off')],\n",
       " [(17, 'email_querycontact'), (45, 'play_music'), (11, 'transport_traffic')],\n",
       " [(17, 'email_querycontact'), (-1, 'travel_ticket'), (2, 'transport_ticket')],\n",
       " [(45, 'play_music'), (15, 'email_addcontact'), (8, 'iot_wemo_off')],\n",
       " [(-1, 'travel_ticket'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(17, 'email_querycontact'), (45, 'play_music'), (8, 'iot_wemo_off')],\n",
       " [(45, 'play_music'), (36, 'play_radio'), (20, 'play_audiobook')]]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parsed_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_predictions = [x[1] for x in parsed_predictions]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_eval = eval_data_subset.to_pandas()\n",
    "df_eval['pred_label_str'] = [x[1] for x in selected_predictions]\n",
    "df_eval['pred_label_int'] = [x[0] for x in selected_predictions]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>id</th>\n",
       "      <th>locale</th>\n",
       "      <th>partition</th>\n",
       "      <th>scenario</th>\n",
       "      <th>intent</th>\n",
       "      <th>utt</th>\n",
       "      <th>annot_utt</th>\n",
       "      <th>worker_id</th>\n",
       "      <th>slot_method</th>\n",
       "      <th>judgments</th>\n",
       "      <th>prompt</th>\n",
       "      <th>str_label</th>\n",
       "      <th>pred_label_str</th>\n",
       "      <th>pred_label_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11070</td>\n",
       "      <td>en-US</td>\n",
       "      <td>dev</td>\n",
       "      <td>11</td>\n",
       "      <td>59</td>\n",
       "      <td>can you tell me what the items on my grocery l...</td>\n",
       "      <td>can you tell me what the items on my [list_nam...</td>\n",
       "      <td>488</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': [], 'intent_score': [], 'slots_s...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>lists_query</td>\n",
       "      <td>takeaway_order</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17167</td>\n",
       "      <td>it-IT</td>\n",
       "      <td>dev</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>qual è l' indirizzo di alex</td>\n",
       "      <td>qual è l' [personal_info : indirizzo] di [pers...</td>\n",
       "      <td>43</td>\n",
       "      <td>{'slot': ['personal_info', 'person'], 'method'...</td>\n",
       "      <td>{'worker_id': ['6', '34', '2'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>email_querycontact</td>\n",
       "      <td>email_querycontact</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16903</td>\n",
       "      <td>kn-IN</td>\n",
       "      <td>dev</td>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "      <td>ನನ್ನ ಕೊನೆಯ ಇಮೇಲ್ ಪ್ರತಿಕ್ರಿಯೆಯನ್ನು ಕಳುಹಿಸಿ</td>\n",
       "      <td>ನನ್ನ ಕೊನೆಯ ಇಮೇಲ್ ಪ್ರತಿಕ್ರಿಯೆಯನ್ನು ಕಳುಹಿಸಿ</td>\n",
       "      <td>6</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['3', '12', '0'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>email_sendemail</td>\n",
       "      <td>email_querycontact</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12885</td>\n",
       "      <td>en-US</td>\n",
       "      <td>dev</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>which route has less traffic today</td>\n",
       "      <td>which route has less traffic [date : today]</td>\n",
       "      <td>664</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': [], 'intent_score': [], 'slots_s...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>transport_traffic</td>\n",
       "      <td>transport_query</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10962</td>\n",
       "      <td>es-ES</td>\n",
       "      <td>dev</td>\n",
       "      <td>11</td>\n",
       "      <td>53</td>\n",
       "      <td>no quier mas esta lista</td>\n",
       "      <td>no quier mas esta lista</td>\n",
       "      <td>7</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['18', '19', '21'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>lists_remove</td>\n",
       "      <td>recommendation_events</td>\n",
       "      <td>6</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>7112</td>\n",
       "      <td>ta-IN</td>\n",
       "      <td>dev</td>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "      <td>என் முதலாளியுடனான சந்திப்பு அடுத்த வாரத்தில் எ...</td>\n",
       "      <td>என் [relation : முதலாளியுடனான] [event_name : ச...</td>\n",
       "      <td>23</td>\n",
       "      <td>{'slot': ['event_name', 'relation', 'date'], '...</td>\n",
       "      <td>{'worker_id': ['2', '23', '20'], 'intent_score...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>calendar_query</td>\n",
       "      <td>travel_ticket</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>3803</td>\n",
       "      <td>my-MM</td>\n",
       "      <td>dev</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>ကျေးဇူးပြု၍ ပလပ်ပေါက် ကို ပိတ်ပေးပါ</td>\n",
       "      <td>ကျေးဇူးပြု၍ [device_type : ပလပ်ပေါက်] ကို ပိတ်...</td>\n",
       "      <td>44</td>\n",
       "      <td>{'slot': ['device_type'], 'method': ['translat...</td>\n",
       "      <td>{'worker_id': ['56', '53', '62'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>iot_wemo_off</td>\n",
       "      <td>email_addcontact</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>12044</td>\n",
       "      <td>cy-GB</td>\n",
       "      <td>dev</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>dwi'n clemio beth sy'n dda i fwyta yn cincinnati</td>\n",
       "      <td>dwi'n clemio beth sy'n [business_type : dda i ...</td>\n",
       "      <td>4</td>\n",
       "      <td>{'slot': ['business_type', 'place_name'], 'met...</td>\n",
       "      <td>{'worker_id': ['5', '4', '2'], 'intent_score':...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>recommendation_locations</td>\n",
       "      <td>transport_traffic</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>15462</td>\n",
       "      <td>hu-HU</td>\n",
       "      <td>dev</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>tudsz e panaszt tweetelni a bútorbolt ügyfélsz...</td>\n",
       "      <td>tudsz e panaszt [media_type : tweetelni] a [bu...</td>\n",
       "      <td>37</td>\n",
       "      <td>{'slot': ['media_type', 'business_name'], 'met...</td>\n",
       "      <td>{'worker_id': ['33', '28', '22'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>social_post</td>\n",
       "      <td>play_music</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>9872</td>\n",
       "      <td>te-IN</td>\n",
       "      <td>dev</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>కభి ఖుషి కభి గమ్ ప్లే చేయి ప్లీజ్</td>\n",
       "      <td>కభి ఖుషి కభి గమ్ ప్లే చేయి ప్లీజ్</td>\n",
       "      <td>21</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['10', '11', '16'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\n* A...</td>\n",
       "      <td>play_audiobook</td>\n",
       "      <td>play_radio</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>600 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id locale partition  scenario  intent  \\\n",
       "0    11070  en-US       dev        11      59   \n",
       "1    17167  it-IT       dev         7      17   \n",
       "2    16903  kn-IN       dev         7      33   \n",
       "3    12885  en-US       dev         1      11   \n",
       "4    10962  es-ES       dev        11      53   \n",
       "..     ...    ...       ...       ...     ...   \n",
       "595   7112  ta-IN       dev         2      32   \n",
       "596   3803  my-MM       dev         8       8   \n",
       "597  12044  cy-GB       dev         6      19   \n",
       "598  15462  hu-HU       dev         0      47   \n",
       "599   9872  te-IN       dev         3      20   \n",
       "\n",
       "                                                   utt  \\\n",
       "0    can you tell me what the items on my grocery l...   \n",
       "1                          qual è l' indirizzo di alex   \n",
       "2            ನನ್ನ ಕೊನೆಯ ಇಮೇಲ್ ಪ್ರತಿಕ್ರಿಯೆಯನ್ನು ಕಳುಹಿಸಿ   \n",
       "3                   which route has less traffic today   \n",
       "4                              no quier mas esta lista   \n",
       "..                                                 ...   \n",
       "595  என் முதலாளியுடனான சந்திப்பு அடுத்த வாரத்தில் எ...   \n",
       "596                ကျေးဇူးပြု၍ ပလပ်ပေါက် ကို ပိတ်ပေးပါ   \n",
       "597   dwi'n clemio beth sy'n dda i fwyta yn cincinnati   \n",
       "598  tudsz e panaszt tweetelni a bútorbolt ügyfélsz...   \n",
       "599                  కభి ఖుషి కభి గమ్ ప్లే చేయి ప్లీజ్   \n",
       "\n",
       "                                             annot_utt worker_id  \\\n",
       "0    can you tell me what the items on my [list_nam...       488   \n",
       "1    qual è l' [personal_info : indirizzo] di [pers...        43   \n",
       "2            ನನ್ನ ಕೊನೆಯ ಇಮೇಲ್ ಪ್ರತಿಕ್ರಿಯೆಯನ್ನು ಕಳುಹಿಸಿ         6   \n",
       "3          which route has less traffic [date : today]       664   \n",
       "4                              no quier mas esta lista         7   \n",
       "..                                                 ...       ...   \n",
       "595  என் [relation : முதலாளியுடனான] [event_name : ச...        23   \n",
       "596  ကျေးဇူးပြု၍ [device_type : ပလပ်ပေါက်] ကို ပိတ်...        44   \n",
       "597  dwi'n clemio beth sy'n [business_type : dda i ...         4   \n",
       "598  tudsz e panaszt [media_type : tweetelni] a [bu...        37   \n",
       "599                  కభి ఖుషి కభి గమ్ ప్లే చేయి ప్లీజ్        21   \n",
       "\n",
       "                                           slot_method  \\\n",
       "0                           {'slot': [], 'method': []}   \n",
       "1    {'slot': ['personal_info', 'person'], 'method'...   \n",
       "2                           {'slot': [], 'method': []}   \n",
       "3                           {'slot': [], 'method': []}   \n",
       "4                           {'slot': [], 'method': []}   \n",
       "..                                                 ...   \n",
       "595  {'slot': ['event_name', 'relation', 'date'], '...   \n",
       "596  {'slot': ['device_type'], 'method': ['translat...   \n",
       "597  {'slot': ['business_type', 'place_name'], 'met...   \n",
       "598  {'slot': ['media_type', 'business_name'], 'met...   \n",
       "599                         {'slot': [], 'method': []}   \n",
       "\n",
       "                                             judgments  \\\n",
       "0    {'worker_id': [], 'intent_score': [], 'slots_s...   \n",
       "1    {'worker_id': ['6', '34', '2'], 'intent_score'...   \n",
       "2    {'worker_id': ['3', '12', '0'], 'intent_score'...   \n",
       "3    {'worker_id': [], 'intent_score': [], 'slots_s...   \n",
       "4    {'worker_id': ['18', '19', '21'], 'intent_scor...   \n",
       "..                                                 ...   \n",
       "595  {'worker_id': ['2', '23', '20'], 'intent_score...   \n",
       "596  {'worker_id': ['56', '53', '62'], 'intent_scor...   \n",
       "597  {'worker_id': ['5', '4', '2'], 'intent_score':...   \n",
       "598  {'worker_id': ['33', '28', '22'], 'intent_scor...   \n",
       "599  {'worker_id': ['10', '11', '16'], 'intent_scor...   \n",
       "\n",
       "                                                prompt  \\\n",
       "0    # Detect intent of the input utterance.\\n\\n* A...   \n",
       "1    # Detect intent of the input utterance.\\n\\n* A...   \n",
       "2    # Detect intent of the input utterance.\\n\\n* A...   \n",
       "3    # Detect intent of the input utterance.\\n\\n* A...   \n",
       "4    # Detect intent of the input utterance.\\n\\n* A...   \n",
       "..                                                 ...   \n",
       "595  # Detect intent of the input utterance.\\n\\n* A...   \n",
       "596  # Detect intent of the input utterance.\\n\\n* A...   \n",
       "597  # Detect intent of the input utterance.\\n\\n* A...   \n",
       "598  # Detect intent of the input utterance.\\n\\n* A...   \n",
       "599  # Detect intent of the input utterance.\\n\\n* A...   \n",
       "\n",
       "                    str_label         pred_label_str  pred_label_int  \n",
       "0                 lists_query         takeaway_order              16  \n",
       "1          email_querycontact     email_querycontact              17  \n",
       "2             email_sendemail     email_querycontact              17  \n",
       "3           transport_traffic        transport_query              42  \n",
       "4                lists_remove  recommendation_events               6  \n",
       "..                        ...                    ...             ...  \n",
       "595            calendar_query          travel_ticket              -1  \n",
       "596              iot_wemo_off       email_addcontact              15  \n",
       "597  recommendation_locations      transport_traffic              11  \n",
       "598               social_post             play_music              45  \n",
       "599            play_audiobook             play_radio              36  \n",
       "\n",
       "[600 rows x 14 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eval"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze the performance of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute f1 for each locale and plot f1 scores vs locales\n",
    "from sklearn.metrics import f1_score, accuracy_score\n",
    "import seaborn as sns\n",
    "sns.set(rc={'figure.figsize':(11, 8)}) # Setting some matplotlib configs\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Print histogram of locale, y-axis normalized to 1\n",
    "P = sns.histplot(df_eval['locale'], stat=\"probability\")\n",
    "\n",
    "P.set_xlabel(\"Locale\")\n",
    "P.set_ylabel(\"Probability\")\n",
    "P.set_title(\"Locale histogram\")\n",
    "\n",
    "# Rotate x labels by 90 degrees\n",
    "for item in P.get_xticklabels():\n",
    "    item.set_rotation(90)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def compute_f1(df):\n",
    "    return f1_score(df['intent'], df['pred_label_int'], average='macro')\n",
    "\n",
    "def compute_acc(df):\n",
    "    return accuracy_score(df['intent'], df['pred_label_int'])\n",
    "\n",
    "df_f1 = df_eval.groupby('locale').apply(compute_f1)\n",
    "P = sns.barplot(x=df_f1.index, y=df_f1.values)\n",
    "# df_acc = df.groupby('locale').apply(compute_acc)\n",
    "# P = sns.barplot(x=df_acc.index, y=df_acc.values)\n",
    "\n",
    "P.set_title(\"Locale vs Performance\")\n",
    "P.set_xlabel(\"Locale\")\n",
    "P.set_ylabel(\"Performance\")\n",
    "\n",
    "# Rotate x labels by 90 degrees\n",
    "for item in P.get_xticklabels():\n",
    "    item.set_rotation(90)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (py38-new)",
   "language": "python",
   "name": "py38-new"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}