LLM_PromptEngineering.ipynb

{
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  {
   "cell_type": "markdown",
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   "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"
   ]
  },
  {
   "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": 6,
   "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'].str.cat(sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Utterance: የዛሬውን ቀን ልትነግሩኝ ትችላላቹ; Intent: datetime_query\n",
      "Utterance: cambia las luces a azul; Intent: iot_hue_lightchange\n",
      "Utterance: je veux un billet de train pour l' oregon; Intent: transport_ticket\n",
      "Utterance: உணவகத்தில் எடுத்துச் செல்லும் வசதி உள்ளதா; Intent: takeaway_query\n",
      "Utterance: berapakah nilai saham apple; Intent: qa_stock\n",
      "Utterance: buna; Intent: general_greet\n",
      "Utterance: olly ni matukio yapi yanafanyika karibu na mimi leo; Intent: recommendation_events\n",
      "Utterance: bu mahnını xoşlamadığımı yadda saxla; Intent: music_dislikeness\n",
      "Utterance: oprește-mi priza wemo acum; Intent: iot_wemo_off\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: இந்திய ரூபாவுடன் டாலரின் மாற்று விகிதம் என்ன; Intent: qa_currency\n",
      "Utterance: 運輸; Intent: transport_traffic\n",
      "Utterance: چطور پیش می‌رود; Intent: general_quirky\n",
      "Utterance: آج آب و ہوا کیسی ہے; Intent: weather_query\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n",
      "Utterance: እባክህ የኤልያስ ሁሴን አድራሻ ኢሜል በ ኤልያስሁሴን አት ያሁ ዶት ኮም አድራሻ መረጃ ጨምር; Intent: email_addcontact\n",
      "Utterance: bestel een medium pizza met salami en spek; Intent: takeaway_order\n",
      "Utterance: est-ce que maman m'a envoyé un texto; Intent: email_querycontact\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: jeg vil finne noe kinesisk mat hva er i nærheten; Intent: recommendation_locations\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: 新しい買い物リストを始める; Intent: lists_createoradd\n",
      "Utterance: براہ کرم مجھے تمام کرونا وائرس معلومات بھیجنا; Intent: news_query\n",
      "Utterance: har jag några larm; Intent: alarm_query\n",
      "Utterance: मेरा wemo प्लग सॉकेट बंद कर दो; Intent: iot_wemo_on\n",
      "Utterance: hibur saya; Intent: general_joke\n",
      "Utterance: স্বাধীনতার মূর্তি বর্ণনা কর; Intent: qa_definition\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: միացրու spotify խառը; Intent: music_settings\n",
      "Utterance: ปรับ การ ตั้งค่า เสียง; Intent: audio_volume_other\n",
      "Utterance: remover esse evento do meu calendário; Intent: calendar_remove\n",
      "Utterance: የሳሎኑን መብራቶች አደብዝዝ; Intent: iot_hue_lightdim\n",
      "Utterance: muéstra me todos los recordatorios de la reunión; Intent: calendar_query\n",
      "Utterance: এই সপ্তাহে আবহাওয়া কেমন আছে বাবাকে একটি ইমেল পাঠান; Intent: email_sendemail\n",
      "Utterance: ჩართე მტვერსასრუტი; Intent: iot_cleaning\n",
      "Utterance: scade volumul pentru audio; Intent: audio_volume_down\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: வான்கோழியை சமைக்க எளிதான மற்றும் விரைவான வழி எது; Intent: cooking_query\n",
      "Utterance: care este diferența de fus orar între locația mea și hong kong; Intent: datetime_convert\n",
      "Utterance: مثلث کا حساب لگانے کا طریقہ; Intent: qa_maths\n",
      "Utterance: voglio spegnere la luce puoi farlo; Intent: iot_hue_lightoff\n",
      "Utterance: olly het is te donker ik kan niet eens mijn handen zien; Intent: iot_hue_lighton\n",
      "Utterance: የ ባቡር መርሃ ግብር; Intent: transport_query\n",
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: recebi alguma resposta do joão; Intent: email_query\n",
      "Utterance: এলেক্সা ক্লাসিকাল রক বাজাও; Intent: play_music\n",
      "Utterance: sæt volume til nul; Intent: audio_volume_mute\n",
      "Utterance: የጋዝ ሲሊንደር ዘግይቶ መላክን በተመለከተ ኢንዲያ ተጠቃሚዎች የቅሬታ ሸንጎ መድረክ ላይ ቲዊት እንድትያደርጉልኝ እፈልጋለሁ; Intent: social_post\n",
      "Utterance: ահազանգ երեքշաբթի ցերեկը հինգին; Intent: alarm_set\n",
      "Utterance: google hov ett; Intent: qa_factoid\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: abre angry birds; Intent: play_game\n",
      "Utterance: براہ کرم اس الارم کو ہٹا دیں جو میں نے آج صبح کے لیے سیٹ کیا ہے; Intent: alarm_remove\n",
      "Utterance: apri i promemoria; Intent: lists_remove\n",
      "Utterance: ဒီနေ့ည ခုနစ်နာရီ အတွက် အိုးဝေ ကိုကြိုငှားပါ; Intent: transport_taxi\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: näytä minulle kuva laulajasta; Intent: music_query\n",
      "Utterance: নিম্নলিখিত পডকাস্ট পর্ব শুরু; Intent: play_podcasts\n",
      "Utterance: aku pengin ngerti rincian ing dhaptar blanja; Intent: lists_query\n"
     ]
    }
   ],
   "source": [
    "print(prompt_exemplars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate prompts for each query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Map: 100%|██████████| 103683/103683 [02:07<00:00, 813.39 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'# Detect intent of the input utterance.\\n\\n{prompt_exemplars}\\nUtterance: {example[\"utt\"]}; Intent:'\n",
    "    else:\n",
    "        example[\"prompt\"] = f'# Detect intent of the input utterance.\\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": 9,
   "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\\nUtterance: የዛሬውን ቀን ልትነግሩኝ ትችላላቹ; Intent: datetime_query\\nUtterance: cambia las luces a azul; Intent: iot_hue_lightchange\\nUtterance: je veux un billet de train pour l' oregon; Intent: transport_ticket\\nUtterance: உணவகத்தில் எடுத்துச் செல்லும் வசதி உள்ளதா; Intent: takeaway_query\\nUtterance: berapakah nilai saham apple; Intent: qa_stock\\nUtterance: buna; Intent: general_greet\\nUtterance: olly ni matukio yapi yanafanyika karibu na mimi leo; Intent: recommendation_events\\nUtterance: bu mahnını xoşlamadığımı yadda saxla; Intent: music_dislikeness\\nUtterance: oprește-mi priza wemo acum; Intent: iot_wemo_off\\nUtterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\\nUtterance: இந்திய ரூபாவுடன் டாலரின் மாற்று விகிதம் என்ன; Intent: qa_currency\\nUtterance: 運輸; Intent: transport_traffic\\nUtterance: چطور پیش می\\u200cرود; Intent: general_quirky\\nUtterance: آج آب و ہوا کیسی ہے; Intent: weather_query\\nUtterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\\nUtterance: እባክህ የኤልያስ ሁሴን አድራሻ ኢሜል በ ኤልያስሁሴን አት ያሁ ዶት ኮም አድራሻ መረጃ ጨምር; Intent: email_addcontact\\nUtterance: bestel een medium pizza met salami en spek; Intent: takeaway_order\\nUtterance: est-ce que maman m'a envoyé un texto; Intent: email_querycontact\\nUtterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\\nUtterance: jeg vil finne noe kinesisk mat hva er i nærheten; Intent: recommendation_locations\\nUtterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\\nUtterance: 新しい買い物リストを始める; Intent: lists_createoradd\\nUtterance: براہ کرم مجھے تمام کرونا وائرس معلومات بھیجنا; Intent: news_query\\nUtterance: har jag några larm; Intent: alarm_query\\nUtterance: मेरा wemo प्लग सॉकेट बंद कर दो; Intent: iot_wemo_on\\nUtterance: hibur saya; Intent: general_joke\\nUtterance: স্বাধীনতার মূর্তি বর্ণনা কর; Intent: qa_definition\\nUtterance: tiešsaistes šovu atgādinājumi; Intent: social_query\\nUtterance: միացրու spotify խառը; Intent: music_settings\\nUtterance: ปรับ การ ตั้งค่า เสียง; Intent: audio_volume_other\\nUtterance: remover esse evento do meu calendário; Intent: calendar_remove\\nUtterance: የሳሎኑን መብራቶች አደብዝዝ; Intent: iot_hue_lightdim\\nUtterance: muéstra me todos los recordatorios de la reunión; Intent: calendar_query\\nUtterance: এই সপ্তাহে আবহাওয়া কেমন আছে বাবাকে একটি ইমেল পাঠান; Intent: email_sendemail\\nUtterance: ჩართე მტვერსასრუტი; Intent: iot_cleaning\\nUtterance: scade volumul pentru audio; Intent: audio_volume_down\\nUtterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\\nUtterance: வான்கோழியை சமைக்க எளிதான மற்றும் விரைவான வழி எது; Intent: cooking_query\\nUtterance: care este diferența de fus orar între locația mea și hong kong; Intent: datetime_convert\\nUtterance: مثلث کا حساب لگانے کا طریقہ; Intent: qa_maths\\nUtterance: voglio spegnere la luce puoi farlo; Intent: iot_hue_lightoff\\nUtterance: olly het is te donker ik kan niet eens mijn handen zien; Intent: iot_hue_lighton\\nUtterance: የ ባቡር መርሃ ግብር; Intent: transport_query\\nUtterance: tämä on hyvä laulu; Intent: music_likeness\\nUtterance: recebi alguma resposta do joão; Intent: email_query\\nUtterance: এলেক্সা ক্লাসিকাল রক বাজাও; Intent: play_music\\nUtterance: sæt volume til nul; Intent: audio_volume_mute\\nUtterance: የጋዝ ሲሊንደር ዘግይቶ መላክን በተመለከተ ኢንዲያ ተጠቃሚዎች የቅሬታ ሸንጎ መድረክ ላይ ቲዊት እንድትያደርጉልኝ እፈልጋለሁ; Intent: social_post\\nUtterance: ահազանգ երեքշաբթի ցերեկը հինգին; Intent: alarm_set\\nUtterance: google hov ett; Intent: qa_factoid\\nUtterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\\nUtterance: abre angry birds; Intent: play_game\\nUtterance: براہ کرم اس الارم کو ہٹا دیں جو میں نے آج صبح کے لیے سیٹ کیا ہے; Intent: alarm_remove\\nUtterance: apri i promemoria; Intent: lists_remove\\nUtterance: ဒီနေ့ည ခုနစ်နာရီ အတွက် အိုးဝေ ကိုကြိုငှားပါ; Intent: transport_taxi\\nUtterance: jakie filmy grają niedaleko; Intent: recommendation_movies\\nUtterance: תכין קפה; Intent: iot_coffee\\nUtterance: näytä minulle kuva laulajasta; Intent: music_query\\nUtterance: নিম্নলিখিত পডকাস্ট পর্ব শুরু; Intent: play_podcasts\\nUtterance: aku pengin ngerti rincian ing dhaptar blanja; Intent: lists_query\\nUtterance: гэрлийг унтраа; Intent:\",\n",
       " 'str_label': 'iot_hue_lightoff'}"
      ]
     },
     "execution_count": 9,
     "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": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Detect intent of the input utterance.\n",
      "\n",
      "Utterance: የዛሬውን ቀን ልትነግሩኝ ትችላላቹ; Intent: datetime_query\n",
      "Utterance: cambia las luces a azul; Intent: iot_hue_lightchange\n",
      "Utterance: je veux un billet de train pour l' oregon; Intent: transport_ticket\n",
      "Utterance: உணவகத்தில் எடுத்துச் செல்லும் வசதி உள்ளதா; Intent: takeaway_query\n",
      "Utterance: berapakah nilai saham apple; Intent: qa_stock\n",
      "Utterance: buna; Intent: general_greet\n",
      "Utterance: olly ni matukio yapi yanafanyika karibu na mimi leo; Intent: recommendation_events\n",
      "Utterance: bu mahnını xoşlamadığımı yadda saxla; Intent: music_dislikeness\n",
      "Utterance: oprește-mi priza wemo acum; Intent: iot_wemo_off\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: இந்திய ரூபாவுடன் டாலரின் மாற்று விகிதம் என்ன; Intent: qa_currency\n",
      "Utterance: 運輸; Intent: transport_traffic\n",
      "Utterance: چطور پیش می‌رود; Intent: general_quirky\n",
      "Utterance: آج آب و ہوا کیسی ہے; Intent: weather_query\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n",
      "Utterance: እባክህ የኤልያስ ሁሴን አድራሻ ኢሜል በ ኤልያስሁሴን አት ያሁ ዶት ኮም አድራሻ መረጃ ጨምር; Intent: email_addcontact\n",
      "Utterance: bestel een medium pizza met salami en spek; Intent: takeaway_order\n",
      "Utterance: est-ce que maman m'a envoyé un texto; Intent: email_querycontact\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: jeg vil finne noe kinesisk mat hva er i nærheten; Intent: recommendation_locations\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: 新しい買い物リストを始める; Intent: lists_createoradd\n",
      "Utterance: براہ کرم مجھے تمام کرونا وائرس معلومات بھیجنا; Intent: news_query\n",
      "Utterance: har jag några larm; Intent: alarm_query\n",
      "Utterance: मेरा wemo प्लग सॉकेट बंद कर दो; Intent: iot_wemo_on\n",
      "Utterance: hibur saya; Intent: general_joke\n",
      "Utterance: স্বাধীনতার মূর্তি বর্ণনা কর; Intent: qa_definition\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: միացրու spotify խառը; Intent: music_settings\n",
      "Utterance: ปรับ การ ตั้งค่า เสียง; Intent: audio_volume_other\n",
      "Utterance: remover esse evento do meu calendário; Intent: calendar_remove\n",
      "Utterance: የሳሎኑን መብራቶች አደብዝዝ; Intent: iot_hue_lightdim\n",
      "Utterance: muéstra me todos los recordatorios de la reunión; Intent: calendar_query\n",
      "Utterance: এই সপ্তাহে আবহাওয়া কেমন আছে বাবাকে একটি ইমেল পাঠান; Intent: email_sendemail\n",
      "Utterance: ჩართე მტვერსასრუტი; Intent: iot_cleaning\n",
      "Utterance: scade volumul pentru audio; Intent: audio_volume_down\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: வான்கோழியை சமைக்க எளிதான மற்றும் விரைவான வழி எது; Intent: cooking_query\n",
      "Utterance: care este diferența de fus orar între locația mea și hong kong; Intent: datetime_convert\n",
      "Utterance: مثلث کا حساب لگانے کا طریقہ; Intent: qa_maths\n",
      "Utterance: voglio spegnere la luce puoi farlo; Intent: iot_hue_lightoff\n",
      "Utterance: olly het is te donker ik kan niet eens mijn handen zien; Intent: iot_hue_lighton\n",
      "Utterance: የ ባቡር መርሃ ግብር; Intent: transport_query\n",
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: recebi alguma resposta do joão; Intent: email_query\n",
      "Utterance: এলেক্সা ক্লাসিকাল রক বাজাও; Intent: play_music\n",
      "Utterance: sæt volume til nul; Intent: audio_volume_mute\n",
      "Utterance: የጋዝ ሲሊንደር ዘግይቶ መላክን በተመለከተ ኢንዲያ ተጠቃሚዎች የቅሬታ ሸንጎ መድረክ ላይ ቲዊት እንድትያደርጉልኝ እፈልጋለሁ; Intent: social_post\n",
      "Utterance: ահազանգ երեքշաբթի ցերեկը հինգին; Intent: alarm_set\n",
      "Utterance: google hov ett; Intent: qa_factoid\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: abre angry birds; Intent: play_game\n",
      "Utterance: براہ کرم اس الارم کو ہٹا دیں جو میں نے آج صبح کے لیے سیٹ کیا ہے; Intent: alarm_remove\n",
      "Utterance: apri i promemoria; Intent: lists_remove\n",
      "Utterance: ဒီနေ့ည ခုနစ်နာရီ အတွက် အိုးဝေ ကိုကြိုငှားပါ; Intent: transport_taxi\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: näytä minulle kuva laulajasta; Intent: music_query\n",
      "Utterance: নিম্নলিখিত পডকাস্ট পর্ব শুরু; Intent: play_podcasts\n",
      "Utterance: aku pengin ngerti rincian ing dhaptar blanja; Intent: lists_query\n",
      "Utterance: яг одоо кофе бэлд; Intent:\n",
      "# Detect intent of the input utterance.\n",
      "\n",
      "Utterance: የዛሬውን ቀን ልትነግሩኝ ትችላላቹ; Intent: datetime_query\n",
      "Utterance: cambia las luces a azul; Intent: iot_hue_lightchange\n",
      "Utterance: je veux un billet de train pour l' oregon; Intent: transport_ticket\n",
      "Utterance: உணவகத்தில் எடுத்துச் செல்லும் வசதி உள்ளதா; Intent: takeaway_query\n",
      "Utterance: berapakah nilai saham apple; Intent: qa_stock\n",
      "Utterance: buna; Intent: general_greet\n",
      "Utterance: olly ni matukio yapi yanafanyika karibu na mimi leo; Intent: recommendation_events\n",
      "Utterance: bu mahnını xoşlamadığımı yadda saxla; Intent: music_dislikeness\n",
      "Utterance: oprește-mi priza wemo acum; Intent: iot_wemo_off\n",
      "Utterance: hvor mange grøntsager burde jeg spise om dagen; Intent: cooking_recipe\n",
      "Utterance: இந்திய ரூபாவுடன் டாலரின் மாற்று விகிதம் என்ன; Intent: qa_currency\n",
      "Utterance: 運輸; Intent: transport_traffic\n",
      "Utterance: چطور پیش می‌رود; Intent: general_quirky\n",
      "Utterance: آج آب و ہوا کیسی ہے; Intent: weather_query\n",
      "Utterance: volumen på musikken der spiller nu skal op; Intent: audio_volume_up\n",
      "Utterance: እባክህ የኤልያስ ሁሴን አድራሻ ኢሜል በ ኤልያስሁሴን አት ያሁ ዶት ኮም አድራሻ መረጃ ጨምር; Intent: email_addcontact\n",
      "Utterance: bestel een medium pizza met salami en spek; Intent: takeaway_order\n",
      "Utterance: est-ce que maman m'a envoyé un texto; Intent: email_querycontact\n",
      "Utterance: ሳሎን ውስጥ መብራቶች ወደላይ ጨምር; Intent: iot_hue_lightup\n",
      "Utterance: jeg vil finne noe kinesisk mat hva er i nærheten; Intent: recommendation_locations\n",
      "Utterance: ponme la canción de mchael jackson del audiolibro; Intent: play_audiobook\n",
      "Utterance: 新しい買い物リストを始める; Intent: lists_createoradd\n",
      "Utterance: براہ کرم مجھے تمام کرونا وائرس معلومات بھیجنا; Intent: news_query\n",
      "Utterance: har jag några larm; Intent: alarm_query\n",
      "Utterance: मेरा wemo प्लग सॉकेट बंद कर दो; Intent: iot_wemo_on\n",
      "Utterance: hibur saya; Intent: general_joke\n",
      "Utterance: স্বাধীনতার মূর্তি বর্ণনা কর; Intent: qa_definition\n",
      "Utterance: tiešsaistes šovu atgādinājumi; Intent: social_query\n",
      "Utterance: միացրու spotify խառը; Intent: music_settings\n",
      "Utterance: ปรับ การ ตั้งค่า เสียง; Intent: audio_volume_other\n",
      "Utterance: remover esse evento do meu calendário; Intent: calendar_remove\n",
      "Utterance: የሳሎኑን መብራቶች አደብዝዝ; Intent: iot_hue_lightdim\n",
      "Utterance: muéstra me todos los recordatorios de la reunión; Intent: calendar_query\n",
      "Utterance: এই সপ্তাহে আবহাওয়া কেমন আছে বাবাকে একটি ইমেল পাঠান; Intent: email_sendemail\n",
      "Utterance: ჩართე მტვერსასრუტი; Intent: iot_cleaning\n",
      "Utterance: scade volumul pentru audio; Intent: audio_volume_down\n",
      "Utterance: በፍሪኪዌንሲ አንድ ላይ ፋና የሚባል የሬዲዮ ጣቢያ ፈልግ; Intent: play_radio\n",
      "Utterance: வான்கோழியை சமைக்க எளிதான மற்றும் விரைவான வழி எது; Intent: cooking_query\n",
      "Utterance: care este diferența de fus orar între locația mea și hong kong; Intent: datetime_convert\n",
      "Utterance: مثلث کا حساب لگانے کا طریقہ; Intent: qa_maths\n",
      "Utterance: voglio spegnere la luce puoi farlo; Intent: iot_hue_lightoff\n",
      "Utterance: olly het is te donker ik kan niet eens mijn handen zien; Intent: iot_hue_lighton\n",
      "Utterance: የ ባቡር መርሃ ግብር; Intent: transport_query\n",
      "Utterance: tämä on hyvä laulu; Intent: music_likeness\n",
      "Utterance: recebi alguma resposta do joão; Intent: email_query\n",
      "Utterance: এলেক্সা ক্লাসিকাল রক বাজাও; Intent: play_music\n",
      "Utterance: sæt volume til nul; Intent: audio_volume_mute\n",
      "Utterance: የጋዝ ሲሊንደር ዘግይቶ መላክን በተመለከተ ኢንዲያ ተጠቃሚዎች የቅሬታ ሸንጎ መድረክ ላይ ቲዊት እንድትያደርጉልኝ እፈልጋለሁ; Intent: social_post\n",
      "Utterance: ահազանգ երեքշաբթի ցերեկը հինգին; Intent: alarm_set\n",
      "Utterance: google hov ett; Intent: qa_factoid\n",
      "Utterance: օրացուցային իրադարձությունն ունի բազմաթիվ մարդիկ; Intent: calendar_set\n",
      "Utterance: abre angry birds; Intent: play_game\n",
      "Utterance: براہ کرم اس الارم کو ہٹا دیں جو میں نے آج صبح کے لیے سیٹ کیا ہے; Intent: alarm_remove\n",
      "Utterance: apri i promemoria; Intent: lists_remove\n",
      "Utterance: ဒီနေ့ည ခုနစ်နာရီ အတွက် အိုးဝေ ကိုကြိုငှားပါ; Intent: transport_taxi\n",
      "Utterance: jakie filmy grają niedaleko; Intent: recommendation_movies\n",
      "Utterance: תכין קפה; Intent: iot_coffee\n",
      "Utterance: näytä minulle kuva laulajasta; Intent: music_query\n",
      "Utterance: নিম্নলিখিত পডকাস্ট পর্ব শুরু; Intent: play_podcasts\n",
      "Utterance: aku pengin ngerti rincian ing dhaptar blanja; Intent: lists_query\n",
      "Utterance: яг одоо кофе бэлд; Intent: food_query\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": 11,
   "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": 12,
   "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": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(list(str2int.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1, 'food_query')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parse_prediction(x, output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup Evaluation Metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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": 15,
   "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": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "eval_data_subset = extended_eval_set.select(eval_indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 600/600 [52:39<00:00,  5.27s/it]  \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": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 600/600 [00:29<00:00, 20.58it/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": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[(-1, 'travel_query'), (-1, 'travel_guide'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_list')],\n",
       " [(32, 'calendar_query'), (-1, 'time_query'), (-1, 'travel_time')],\n",
       " [(32, 'calendar_query'),\n",
       "  (50, 'calendar_set'),\n",
       "  (-1, 'calendar_query_calendar')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (59, 'lists_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'name_query'), (-1, 'entertainment_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (58, 'play_podcasts'), (-1, 'play_podcast')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (-1, 'play_musical')],\n",
       " [(22, 'news_query'), (-1, 'travel_query'), (22, 'news_query')],\n",
       " [(14, 'audio_volume_up'), (-1, 'play_audio'), (46, 'audio_volume_mute')],\n",
       " [(1, 'iot_hue_lightchange'),\n",
       "  (-1, 'transport_lightchange'),\n",
       "  (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'medical_query'), (-1, 'qa_fact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_history'), (-1, 'travel_query'), (-1, 'travel_history_query')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_tickets'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'food_query'), (-1, 'travel_health')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_book')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (32, 'calendar_query')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_time')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(44, 'email_query'), (17, 'email_querycontact'), (33, 'email_sendemail')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(-1, 'photo_query'), (-1, 'image_query'), (59, 'lists_query')],\n",
       " [(30, 'calendar_remove'), (-1, 'calendar_delete'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_history')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_plan')],\n",
       " [(9, 'cooking_recipe'), (-1, 'restaurant_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (13, 'weather_query')],\n",
       " [(-1, 'calendar_add'), (32, 'calendar_query'), (-1, 'calendar_createoradd')],\n",
       " [(45, 'play_music'), (-1, 'travel_query'), (58, 'play_podcasts')],\n",
       " [(21, 'lists_createoradd'), (20, 'play_audiobook'), (-1, 'lists_create')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'twitter_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(13, 'weather_query'), (-1, '...'), (-1, 'weather_question')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, '...'), (-1, 'photo_view'), (-1, 'photo_view_count')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_guide')],\n",
       " [(49, 'qa_factoid'), (-1, 'translate'), (-1, 'google_translate')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_show'), (-1, 'lists_display')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (45, 'play_music'), (-1, 'travel_traffic')],\n",
       " [(57, 'music_query'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'sports_query'), (-1, 'sport_query'), (-1, 'sport_start')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'play_google_music')],\n",
       " [(-1, 'music_save'), (-1, 'save_podcast'), (33, 'email_sendemail')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (-1, 'calendar_delete')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_question'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'lists_create')],\n",
       " [(36, 'play_radio'), (-1, 'radio_query'), (20, 'play_audiobook')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(-1, 'food_query'), (-1, 'diet_query'), (59, 'lists_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(7, 'music_dislikeness'), (-1, 'play_audio'), (-1, 'tech_support')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (-1, 'travel_book')],\n",
       " [(-1, 'finance_query'), (-1, 'travel_query'), (-1, 'travel_ticket')],\n",
       " [(-1, 'restaurant_query'), (-1, 'restaurant_rsvp'), (-1, 'restaurant_book')],\n",
       " [(-1, 'travel_ticket'), (2, 'transport_ticket'), (-1, 'travel_tickets')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (30, 'calendar_remove')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'food_query'), (-1, 'travel_restaurants')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_book'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (13, 'weather_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'sports_score'), (-1, 'sports_scores'), (-1, 'sports_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(13, 'weather_query'), (32, 'calendar_query'), (-1, 'forecast')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'music_playback')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (57, 'music_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'entertainment_query'), (-1, 'travel_query'), (-1, 'entertainment_八卦')],\n",
       " [(-1, 'travel_query'), (-1, 'entertainment_query'), (-1, 'travel_question')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'food_query'), (59, 'lists_query'), (-1, 'travel_food')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(48, 'alarm_set'), (50, 'calendar_set'), (-1, 'alarm_adjust')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_question'), (-1, 'travel_size')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_book'), (-1, 'travel_tickets')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_ticket')],\n",
       " [(57, 'music_query'), (-1, 'travel_query'), (-1, 'music_genre')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_list'), (59, 'lists_query')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'music_genre')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_history')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (57, 'music_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'sports_query'), (-1, 'travel_query'), (-1, 'sport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(23, 'alarm_query'), (32, 'calendar_query'), (48, 'alarm_set')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'meeting_invite'), (-1, '...'), (-1, 'meeting_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'entertainment_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'lists_delete'), (-1, 'playlist_remove'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'music_playback')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(21, 'lists_createoradd'), (58, 'play_podcasts'), (-1, 'play_podcast')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_plan'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'food_query'), (16, 'takeaway_order')],\n",
       " [(1, 'iot_hue_lightchange'),\n",
       "  (-1, 'light_change'),\n",
       "  (-1, 'transport_lightchange')],\n",
       " [(13, 'weather_query'), (-1, 'temperature_query'), (13, 'weather_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(10, 'qa_currency'), (-1, 'currency_query'), (-1, 'qaurrency')],\n",
       " [(44, 'email_query'), (-1, 'email_open'), (17, 'email_querycontact')],\n",
       " [(0, 'datetime_query'), (-1, 'travel_query'), (-1, 'time_query')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_add'), (-1, 'lists_create')],\n",
       " [(-1, 'play_audio'), (20, 'play_audiobook'), (45, 'play_music')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_plan'), (-1, 'travel_question')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (-1, 'mail_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(37, 'cooking_query'), (9, 'cooking_recipe'), (-1, 'recipe_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_tickets')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'calendar_quer'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(33, 'email_sendemail'), (-1, 'travel_ticket'), (-1, 'travel_book')],\n",
       " [(37, 'cooking_query'), (9, 'cooking_recipe'), (-1, 'cooking_instruction')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'play_musical')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (59, 'lists_query')],\n",
       " [(32, 'calendar_query'), (-1, 'calendar_list'), (21, 'lists_createoradd')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'play_musical')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_news')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_history'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'video_query'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'meeting_query'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (13, 'weather_query'), (-1, 'travel_question')],\n",
       " [(-1, 'play_picture'), (58, 'play_podcasts'), (-1, 'play_podcast')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_query'), (2, 'transport_ticket')],\n",
       " [(-1, 'recommendations_movies'),\n",
       "  (55, 'recommendation_movies'),\n",
       "  (45, 'play_music')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(0, 'datetime_query'), (-1, 'time_query'), (32, 'calendar_query')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_weather')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_shopping')],\n",
       " [(-1, 'travel_ticket'), (2, 'transport_ticket'), (-1, 'travel_tickets')],\n",
       " [(-1, 'news_send'), (33, 'email_sendemail'), (44, 'email_query')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (-1, 'calendar_quer')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_history')],\n",
       " [(-1, 'photo_query'), (-1, 'facebook_query'), (-1, 'social_media')],\n",
       " [(-1, 'lists_delete'), (53, 'lists_remove'), (21, 'lists_createoradd')],\n",
       " [(44, 'email_query'), (32, 'calendar_query'), (33, 'email_sendemail')],\n",
       " [(13, 'weather_query'), (-1, 'forecast_query'), (-1, 'weather_question')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (13, 'weather_query'), (-1, 'travel_guide')],\n",
       " [(17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact'),\n",
       "  (33, 'email_sendemail')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rating')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_plan'), (-1, 'travel_book')],\n",
       " [(20, 'play_audiobook'), (45, 'play_music'), (-1, 'play_audio')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_history')],\n",
       " [(33, 'email_sendemail'), (32, 'calendar_query'), (44, 'email_query')],\n",
       " [(-1, 'food_query'), (-1, 'travel_query'), (3, 'takeaway_query')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'lists_delete'), (21, 'lists_createoradd'), (44, 'email_query')],\n",
       " [(48, 'alarm_set'), (50, 'calendar_set'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_guide'), (-1, 'travel_query'), (-1, 'travel_recommendation')],\n",
       " [(30, 'calendar_remove'), (-1, 'calendar_delete'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_ticket')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (17, 'email_querycontact')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_agenda')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (-1, 'calendar_appoint')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_ticket')],\n",
       " [(57, 'music_query'), (45, 'play_music'), (-1, 'play_audio')],\n",
       " [(-1, 'travel_query'), (-1, 'time_query'), (0, 'datetime_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'dinner_query'), (21, 'lists_createoradd'), (-1, 'party_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(-1, 'dress_query'), (-1, 'fashion_query'), (-1, 'travel_ticket')],\n",
       " [(20, 'play_audiobook'), (45, 'play_music'), (-1, 'play_audio')],\n",
       " [(42, 'transport_query'), (-1, 'travel_query'), (11, 'transport_traffic')],\n",
       " [(36, 'play_radio'), (-1, 'radio_on'), (46, 'audio_volume_mute')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'facebook_query'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'music_playback')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (-1, 'travel_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'order_confirm'), (-1, 'travel_book'), (2, 'transport_ticket')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(-1, 'finance_query'), (-1, 'travel_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'play_video'), (-1, 'video_view'), (-1, 'play_picture')],\n",
       " [(-1, 'entertainment_news'),\n",
       "  (-1, 'entertainment_query'),\n",
       "  (-1, 'travel_news')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (-1, 'play_audio')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_weekend')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(58, 'play_podcasts'), (-1, 'play_podcast'), (-1, 'podcast_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'food_query'), (-1, 'picture_query'), (37, 'cooking_query')],\n",
       " [(-1, 'travel_traffic'), (-1, 'travel_query'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_history')],\n",
       " [(14, 'audio_volume_up'), (-1, 'play_audio'), (46, 'audio_volume_mute')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(13, 'weather_query'), (-1, 'travel_weather'), (-1, 'weather_question')],\n",
       " [(-1, 'mobile'), (-1, 'mobile_query'), (11, 'transport_traffic')],\n",
       " [(32, 'calendar_query'), (44, 'email_query'), (59, 'lists_query')],\n",
       " [(32, 'calendar_query'), (33, 'email_sendemail'), (44, 'email_query')],\n",
       " [(-1, 'food_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_review'), (-1, 'travel_question')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_query'), (2, 'transport_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (26, 'qa_definition')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (7, 'music_dislikeness'), (-1, 'travel_guide')],\n",
       " [(14, 'audio_volume_up'),\n",
       "  (35, 'audio_volume_down'),\n",
       "  (46, 'audio_volume_mute')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_add'), (-1, 'lists_create')],\n",
       " [(-1, 'music_genre'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(-1, 'travel_ticket'), (2, 'transport_ticket'), (-1, 'travel_tickets')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_create'), (21, 'lists_createoradd')],\n",
       " [(32, 'calendar_query'), (-1, 'sports_query'), (-1, 'travel_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(30, 'calendar_remove'), (-1, 'travel_book'), (-1, 'travel_plan')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'entertainment_query'), (-1, 'play_movies')],\n",
       " [(42, 'transport_query'), (11, 'transport_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'education_query'), (27, 'social_query')],\n",
       " [(14, 'audio_volume_up'),\n",
       "  (1, 'iot_hue_lightchange'),\n",
       "  (41, 'iot_hue_lighton')],\n",
       " [(59, 'lists_query'), (21, 'lists_createoradd'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(-1, 'play_audio'), (-1, 'travel_query'), (20, 'play_audiobook')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_guide')],\n",
       " [(13, 'weather_query'), (-1, 'sport_query'), (-1, 'sport_weather')],\n",
       " [(37, 'cooking_query'), (-1, 'food_query'), (9, 'cooking_recipe')],\n",
       " [(32, 'calendar_query'), (-1, 'date_query'), (-1, 'travel_agenda')],\n",
       " [(21, 'lists_createoradd'), (59, 'lists_query'), (-1, 'lists_create')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (-1, 'play_musical')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_question')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_traffic')],\n",
       " [(50, 'calendar_set'), (32, 'calendar_query'), (-1, 'travel_agenda')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_traffic')],\n",
       " [(13, 'weather_query'), (1, 'iot_hue_lightchange'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'music_playback'), (-1, 'travel_guide')],\n",
       " [(42, 'transport_query'), (11, 'transport_traffic'), (-1, 'delivery_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_location')],\n",
       " [(28, 'music_settings'), (20, 'play_audiobook'), (-1, 'music_play')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (22, 'news_query')],\n",
       " [(20, 'play_audiobook'), (45, 'play_music'), (-1, 'play_sound')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'travel_query')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'play_musical')],\n",
       " [(-1, 'search_query'), (-1, 'language_query'), (-1, 'travel_query')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (21, 'lists_createoradd')],\n",
       " [(36, 'play_radio'), (-1, 'radio_query'), (-1, 'play_audio')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rating')],\n",
       " [(-1, 'time_query'), (0, 'datetime_query'), (-1, 'travel_query')],\n",
       " [(33, 'email_sendemail'),\n",
       "  (17, 'email_querycontact'),\n",
       "  (15, 'email_addcontact')],\n",
       " [(-1, 'travel_query'), (44, 'email_query'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_ticket'), (2, 'transport_ticket'), (-1, 'travel_tickets')],\n",
       " [(-1, 'travel_query'), (26, 'qa_definition'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_history')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (31, 'iot_hue_lightdim')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_query'), (-1, 'lists_create')],\n",
       " [(-1, 'travel_ticket'), (-1, 'travel_query'), (2, 'transport_ticket')],\n",
       " [(36, 'play_radio'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(32, 'calendar_query'), (-1, 'calendar_add'), (-1, 'calendar_appoint')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_history')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_plan'), (-1, 'travel_query'), (-1, 'travel_book')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (20, 'play_audiobook')],\n",
       " [(50, 'calendar_set'), (32, 'calendar_query'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_guide')],\n",
       " [(-1, '...'), (-1, 'dinner_query'), (59, 'lists_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_location'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_recommendation')],\n",
       " [(32, 'calendar_query'), (50, 'calendar_set'), (-1, 'calendar_save')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_plan'), (-1, 'travel_traffic')],\n",
       " [(-1, 'play_podcast'), (58, 'play_podcasts'), (-1, 'podcast_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(57, 'music_query'), (45, 'play_music'), (-1, 'travel_query')],\n",
       " [(20, 'play_audiobook'), (-1, 'play_photo'), (-1, 'play_audio')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (58, 'play_podcasts'), (-1, 'play_audio')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_weather')],\n",
       " [(57, 'music_query'), (-1, 'music_genre'), (-1, 'entertainment_query')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (13, 'weather_query'), (-1, 'travel_weather')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'sport_query'), (-1, 'sports_query'), (51, 'play_game')],\n",
       " [(43, 'music_likeness'), (7, 'music_dislikeness'), (-1, 'music_volume_down')],\n",
       " [(32, 'calendar_query'), (27, 'social_query'), (-1, 'social_info')],\n",
       " [(21, 'lists_createoradd'), (59, 'lists_query'), (-1, 'lists_create')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (-1, 'email_send')],\n",
       " [(33, 'email_sendemail'), (17, 'email_querycontact'), (44, 'email_query')],\n",
       " [(31, 'iot_hue_lightdim'),\n",
       "  (11, 'transport_traffic'),\n",
       "  (40, 'iot_hue_lightoff')],\n",
       " [(37, 'cooking_query'), (-1, 'food_query'), (9, 'cooking_recipe')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(50, 'calendar_set'), (-1, 'birthday_query'), (32, 'calendar_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_recommendation'), (-1, 'travel_guide')],\n",
       " [(42, 'transport_query'),\n",
       "  (11, 'transport_traffic'),\n",
       "  (31, 'iot_hue_lightdim')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'lists_delete'), (-1, 'list_remove'), (53, 'lists_remove')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (17, 'email_querycontact')],\n",
       " [(32, 'calendar_query'), (-1, 'calendar_add'), (-1, 'calendar_appoint')],\n",
       " [(-1, 'travel_agenda'), (-1, 'travel_plan'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'sports_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_route')],\n",
       " [(-1, 'travel_guide'), (-1, 'travel_recommendation'), (-1, 'travel_route')],\n",
       " [(49, 'qa_factoid'), (-1, 'travel_query'), (26, 'qa_definition')],\n",
       " [(-1, 'travel_guide'), (-1, 'travel_query'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'finance_query'), (-1, 'stock_query'), (4, 'qa_stock')],\n",
       " [(44, 'email_query'), (32, 'calendar_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_query'), (59, 'lists_query')],\n",
       " [(30, 'calendar_remove'), (32, 'calendar_query'), (-1, 'calendar_disable')],\n",
       " [(32, 'calendar_query'), (-1, 'reminder'), (-1, 'calendar_appoint')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(32, 'calendar_query'), (0, 'datetime_query'), (-1, 'date_time_query')],\n",
       " [(-1, 'travel_query'),\n",
       "  (-1, 'travel_activity'),\n",
       "  (-1, 'travel_recommendation')],\n",
       " [(33, 'email_sendemail'), (17, 'email_querycontact'), (44, 'email_query')],\n",
       " [(-1, 'stock_query'), (-1, 'finance_query'), (4, 'qa_stock')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (58, 'play_podcasts'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'date_query'), (13, 'weather_query')],\n",
       " [(40, 'iot_hue_lightoff'), (1, 'iot_hue_lightchange'), (-1, 'iot_lights')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(42, 'transport_query'), (-1, 'travel_query'), (-1, 'travel_traffic')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (20, 'play_audiobook')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(21, 'lists_createoradd'), (32, 'calendar_query'), (-1, 'lists_create')],\n",
       " [(-1, 'calendar_cancel'), (30, 'calendar_remove'), (-1, 'travel_ticket')],\n",
       " [(58, 'play_podcasts'), (-1, 'playback_pause'), (-1, 'media_pause')],\n",
       " [(10, 'qa_currency'), (-1, 'currency_query'), (10, 'qa_currency')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (20, 'play_audiobook')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'facebook_update'), (-1, 'social_update'), (-1, 'facebook_newsfeed')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_delete'), (53, 'lists_remove')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(20, 'play_audiobook'), (-1, 'audiobook_play'), (-1, 'audio_book_play')],\n",
       " [(-1, 'sport_query'), (-1, 'sports_query'), (-1, 'sports_podcast')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_history')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_create'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'time_query'), (23, 'alarm_query')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'entertainment_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (20, 'play_audiobook'), (-1, 'play_audio')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_book'), (-1, 'travel_list')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(44, 'email_query'), (17, 'email_querycontact'), (33, 'email_sendemail')],\n",
       " [(32, 'calendar_query'), (-1, 'time_query'), (-1, 'travel_query')],\n",
       " [(40, 'iot_hue_lightoff'),\n",
       "  (42, 'transport_query'),\n",
       "  (1, 'iot_hue_lightchange')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'time_query'), (0, 'datetime_query'), (-1, 'travel_query')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'car_rental'), (-1, 'car_rental_query'), (-1, 'travel_book')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(44, 'email_query'), (-1, 'twitter_query'), (33, 'email_sendemail')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_book')],\n",
       " [(59, 'lists_query'), (21, 'lists_createoradd'), (-1, 'lists_read')],\n",
       " [(45, 'play_music'), (-1, 'play_audio'), (57, 'music_query')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_query'), (59, 'lists_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_rating'), (-1, 'travel_ridesharing')],\n",
       " [(21, 'lists_createoradd'), (58, 'play_podcasts'), (-1, 'lists_create')],\n",
       " [(-1, 'travel_query'), (-1, 'finance_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_weather')],\n",
       " [(42, 'transport_query'),\n",
       "  (1, 'iot_hue_lightchange'),\n",
       "  (-1, 'transport_light')],\n",
       " [(14, 'audio_volume_up'), (1, 'iot_hue_lightchange'), (-1, 'play_audio')],\n",
       " [(50, 'calendar_set'), (32, 'calendar_query'), (-1, 'finance_query')],\n",
       " [(32, 'calendar_query'), (-1, 'date_query'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (13, 'weather_query'), (-1, 'travel_quer')],\n",
       " [(16, 'takeaway_order'), (3, 'takeaway_query'), (-1, 'takeaway_place')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rating')],\n",
       " [(13, 'weather_query'), (-1, 'forecast_query'), (-1, 'travel_weather')],\n",
       " [(58, 'play_podcasts'), (-1, 'play_podcast'), (-1, 'play_episode')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (21, 'lists_createoradd')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_agenda')],\n",
       " [(-1, 'travel_query'), (13, 'weather_query'), (0, 'datetime_query')],\n",
       " [(58, 'play_podcasts'), (-1, 'play_podcast'), (59, 'lists_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(57, 'music_query'), (45, 'play_music'), (-1, 'music_genre')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_plan')],\n",
       " [(-1, 'play_podcast'), (-1, 'podcast_query'), (58, 'play_podcasts')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'calendar_view'), (-1, 'calendars_query')],\n",
       " [(8, 'iot_wemo_off'), (24, 'iot_wemo_on'), (-1, 'wemo_off')],\n",
       " [(21, 'lists_createoradd'), (-1, 'travel_review'), (-1, 'travel_guide')],\n",
       " [(11, 'transport_traffic'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'play_audio'), (45, 'play_music'), (20, 'play_audiobook')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'music_genre')],\n",
       " [(-1, 'finance_query'), (-1, 'travel_query'), (42, 'transport_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (2, 'transport_ticket'), (-1, 'travel_ticket')],\n",
       " [(32, 'calendar_query'), (44, 'email_query'), (33, 'email_sendemail')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_traffic')],\n",
       " [(20, 'play_audiobook'), (35, 'audio_volume_down'), (-1, 'play_audio')],\n",
       " [(21, 'lists_createoradd'), (59, 'lists_query'), (-1, 'travel_query')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (32, 'calendar_query')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(45, 'play_music'), (-1, 'music_genre'), (57, 'music_query')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'sports_query'), (-1, 'travel_traffic')],\n",
       " [(13, 'weather_query'), (-1, 'travel_traffic'), (-1, 'travel_weather')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_ticket'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_recommendation')],\n",
       " [(44, 'email_query'), (32, 'calendar_query'), (33, 'email_sendemail')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_recommendation')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_history')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (7, 'music_dislikeness')],\n",
       " [(45, 'play_music'), (-1, 'playlist_create'), (-1, 'playlist_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_question')],\n",
       " [(-1, 'transport_robot'), (11, 'transport_traffic'), (-1, 'iot_robot')],\n",
       " [(-1, 'stock_query'), (4, 'qa_stock'), (-1, 'stock_quote')],\n",
       " [(45, 'play_music'), (57, 'music_query'), (-1, 'travel_query')],\n",
       " [(32, 'calendar_query'), (30, 'calendar_remove'), (-1, 'calendar_quer')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_agenda')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'computer_usage'), (-1, 'computer_query'), (-1, 'iot_network')],\n",
       " [(32, 'calendar_query'), (21, 'lists_createoradd'), (-1, 'travel_query')],\n",
       " [(13, 'weather_query'), (-1, 'travel_query'), (-1, 'travel_traffic')],\n",
       " [(11, 'transport_traffic'), (-1, 'travel_query'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'lists_create')],\n",
       " [(-1, 'finance_query'), (42, 'transport_query'), (11, 'transport_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rating')],\n",
       " [(58, 'play_podcasts'), (-1, 'play_podcast'), (59, 'lists_query')],\n",
       " [(-1, 'calendar_create'), (-1, 'calendar_add'), (32, 'calendar_query')],\n",
       " [(-1, 'language_query'), (-1, 'qa_language'), (-1, 'language')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_history'), (-1, 'travel_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_traffic')],\n",
       " [(21, 'lists_createoradd'), (-1, 'lists_create'), (21, 'lists_createoradd')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (42, 'transport_query')],\n",
       " [(37, 'cooking_query'), (-1, 'food_query'), (9, 'cooking_recipe')],\n",
       " [(20, 'play_audiobook'), (-1, 'play_audio'), (-1, 'music_play')],\n",
       " [(58, 'play_podcasts'), (21, 'lists_createoradd'), (-1, 'play_episode')],\n",
       " [(-1, 'food_query'), (37, 'cooking_query'), (20, 'play_audiobook')],\n",
       " [(42, 'transport_query'), (11, 'transport_traffic'), (54, 'transport_taxi')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(37, 'cooking_query'), (9, 'cooking_recipe'), (-1, 'food_query')],\n",
       " [(45, 'play_music'), (7, 'music_dislikeness'), (-1, 'music_play')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rides')],\n",
       " [(33, 'email_sendemail'), (30, 'calendar_remove'), (-1, 'travel_plan')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_history'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'lists_delete'), (30, 'calendar_remove'), (21, 'lists_createoradd')],\n",
       " [(13, 'weather_query'), (13, 'weather_query'), (13, 'weather_query')],\n",
       " [(32, 'calendar_query'), (-1, 'travel_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_rental')],\n",
       " [(-1, 'travel_query'), (32, 'calendar_query'), (-1, 'travel_guide')],\n",
       " [(32, 'calendar_query'), (-1, 'date_query'), (44, 'email_query')],\n",
       " [(1, 'iot_hue_lightchange'), (41, 'iot_hue_lighton'), (24, 'iot_wemo_on')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_traffic'), (-1, 'travel_guide')],\n",
       " [(-1, 'finance_query'), (-1, 'finance'), (-1, 'stock_query')],\n",
       " [(10, 'qa_currency'), (-1, 'currency_query'), (49, 'qa_factoid')],\n",
       " [(-1, 'travel_query'), (57, 'music_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (45, 'play_music'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (21, 'lists_createoradd'), (-1, 'travel_guide')],\n",
       " [(58, 'play_podcasts'), (-1, 'play_podcast'), (-1, 'travel_query')],\n",
       " [(-1, 'travel_query'), (57, 'music_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (-1, 'entertainment_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'joke_query'), (-1, 'entertainment_query'), (-1, 'joke')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (57, 'music_query'), (-1, 'travel_guide')],\n",
       " [(-1, 'travel_query'), (42, 'transport_query'), (-1, 'travel_traffic')],\n",
       " [(-1, 'sports'), (-1, 'travel_plan'), (-1, 'sports_prepare')],\n",
       " [(-1, 'twitter_query'), (-1, 'twitter'), (-1, 'tweet')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_photo')],\n",
       " [(33, 'email_sendemail'), (44, 'email_query'), (17, 'email_querycontact')],\n",
       " [(-1, 'calendar_add'), (32, 'calendar_query'), (50, 'calendar_set')],\n",
       " [(13, 'weather_query'), (0, 'datetime_query'), (-1, 'time_query')],\n",
       " [(44, 'email_query'), (33, 'email_sendemail'), (17, 'email_querycontact')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (-1, 'travel_traffic')],\n",
       " [(-1, 'travel_query'), (11, 'transport_traffic'), (-1, 'travel_ticket')],\n",
       " [(-1, 'travel_query'), (-1, 'travel_guide'), (57, 'music_query')]]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parsed_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_predictions = [x[1] for x in parsed_predictions]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <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",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15786</td>\n",
       "      <td>hy-AM</td>\n",
       "      <td>dev</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "      <td>աննայից որևէ մեյլ կա</td>\n",
       "      <td>[person : աննայից] որևէ մեյլ կա</td>\n",
       "      <td>11</td>\n",
       "      <td>{'slot': ['person'], 'method': ['unchanged']}</td>\n",
       "      <td>{'worker_id': ['41', '9', '15'], 'intent_score...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>email_query</td>\n",
       "      <td>travel_guide</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1380</td>\n",
       "      <td>ja-JP</td>\n",
       "      <td>dev</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>すしざんまいの配達を注文できるか</td>\n",
       "      <td>[business_name : すしざんまい] の [order_type : 配達] を...</td>\n",
       "      <td>11</td>\n",
       "      <td>{'slot': ['order_type', 'business_name'], 'met...</td>\n",
       "      <td>{'worker_id': ['16', '0', '9'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>takeaway_query</td>\n",
       "      <td>travel_ticket</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16303</td>\n",
       "      <td>pl-PL</td>\n",
       "      <td>dev</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "      <td>czy możesz sprawdzić czy mam jakieś powiadomienia</td>\n",
       "      <td>czy możesz sprawdzić czy mam jakieś powiadomienia</td>\n",
       "      <td>7</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['21', '11', '5'], 'intent_score...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>email_query</td>\n",
       "      <td>lists_createoradd</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13587</td>\n",
       "      <td>he-IL</td>\n",
       "      <td>dev</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>הגדרת מסגרת</td>\n",
       "      <td>הגדרת [definition_word : מסגרת]</td>\n",
       "      <td>0</td>\n",
       "      <td>{'slot': ['definition_word'], 'method': ['tran...</td>\n",
       "      <td>{'worker_id': ['0', '21', '16'], 'intent_score...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>qa_definition</td>\n",
       "      <td>travel_query</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10806</td>\n",
       "      <td>da-DK</td>\n",
       "      <td>dev</td>\n",
       "      <td>11</td>\n",
       "      <td>59</td>\n",
       "      <td>vis mig mine lister tak</td>\n",
       "      <td>vis mig mine lister tak</td>\n",
       "      <td>6</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['17', '6', '9'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>lists_query</td>\n",
       "      <td>travel_traffic</td>\n",
       "      <td>-1</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>657</td>\n",
       "      <td>es-ES</td>\n",
       "      <td>dev</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>como es el estado del tiempo ahora</td>\n",
       "      <td>como es el estado del tiempo ahora</td>\n",
       "      <td>18</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['16', '7', '4'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>weather_query</td>\n",
       "      <td>datetime_query</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>16081</td>\n",
       "      <td>ms-MY</td>\n",
       "      <td>dev</td>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "      <td>hantar emel kepada pengurus saya</td>\n",
       "      <td>hantar emel kepada [relation : pengurus] saya</td>\n",
       "      <td>12</td>\n",
       "      <td>{'slot': ['relation'], 'method': ['translation']}</td>\n",
       "      <td>{'worker_id': ['1', '9', '12'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>email_sendemail</td>\n",
       "      <td>email_sendemail</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>2993</td>\n",
       "      <td>sq-AL</td>\n",
       "      <td>dev</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>luaj këngën e radhës</td>\n",
       "      <td>luaj këngën e radhës</td>\n",
       "      <td>2</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['3', '2', '27'], 'intent_score'...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>play_music</td>\n",
       "      <td>travel_guide</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>12505</td>\n",
       "      <td>zh-CN</td>\n",
       "      <td>dev</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>北京运通火车</td>\n",
       "      <td>[place_name : 北京] 运通 [transport_type : 火车]</td>\n",
       "      <td>29</td>\n",
       "      <td>{'slot': ['transport_type', 'place_name'], 'me...</td>\n",
       "      <td>{'worker_id': ['10', '36', '26'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>transport_query</td>\n",
       "      <td>transport_traffic</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>3941</td>\n",
       "      <td>af-ZA</td>\n",
       "      <td>dev</td>\n",
       "      <td>15</td>\n",
       "      <td>43</td>\n",
       "      <td>onthou dat ek van hierdie liedjie hou</td>\n",
       "      <td>onthou dat ek van hierdie liedjie hou</td>\n",
       "      <td>73</td>\n",
       "      <td>{'slot': [], 'method': []}</td>\n",
       "      <td>{'worker_id': ['64', '24', '40'], 'intent_scor...</td>\n",
       "      <td># Detect intent of the input utterance.\\n\\nUtt...</td>\n",
       "      <td>music_likeness</td>\n",
       "      <td>travel_guide</td>\n",
       "      <td>-1</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    15786  hy-AM       dev         7      44   \n",
       "1     1380  ja-JP       dev        14       3   \n",
       "2    16303  pl-PL       dev         7      44   \n",
       "3    13587  he-IL       dev        12      26   \n",
       "4    10806  da-DK       dev        11      59   \n",
       "..     ...    ...       ...       ...     ...   \n",
       "595    657  es-ES       dev        17      13   \n",
       "596  16081  ms-MY       dev         7      33   \n",
       "597   2993  sq-AL       dev         3      45   \n",
       "598  12505  zh-CN       dev         1      42   \n",
       "599   3941  af-ZA       dev        15      43   \n",
       "\n",
       "                                                   utt  \\\n",
       "0                                 աննայից որևէ մեյլ կա   \n",
       "1                                     すしざんまいの配達を注文できるか   \n",
       "2    czy możesz sprawdzić czy mam jakieś powiadomienia   \n",
       "3                                          הגדרת מסגרת   \n",
       "4                              vis mig mine lister tak   \n",
       "..                                                 ...   \n",
       "595                 como es el estado del tiempo ahora   \n",
       "596                   hantar emel kepada pengurus saya   \n",
       "597                               luaj këngën e radhës   \n",
       "598                                             北京运通火车   \n",
       "599              onthou dat ek van hierdie liedjie hou   \n",
       "\n",
       "                                             annot_utt worker_id  \\\n",
       "0                      [person : աննայից] որևէ մեյլ կա        11   \n",
       "1    [business_name : すしざんまい] の [order_type : 配達] を...        11   \n",
       "2    czy możesz sprawdzić czy mam jakieś powiadomienia         7   \n",
       "3                      הגדרת [definition_word : מסגרת]         0   \n",
       "4                              vis mig mine lister tak         6   \n",
       "..                                                 ...       ...   \n",
       "595                 como es el estado del tiempo ahora        18   \n",
       "596      hantar emel kepada [relation : pengurus] saya        12   \n",
       "597                               luaj këngën e radhës         2   \n",
       "598         [place_name : 北京] 运通 [transport_type : 火车]        29   \n",
       "599              onthou dat ek van hierdie liedjie hou        73   \n",
       "\n",
       "                                           slot_method  \\\n",
       "0        {'slot': ['person'], 'method': ['unchanged']}   \n",
       "1    {'slot': ['order_type', 'business_name'], 'met...   \n",
       "2                           {'slot': [], 'method': []}   \n",
       "3    {'slot': ['definition_word'], 'method': ['tran...   \n",
       "4                           {'slot': [], 'method': []}   \n",
       "..                                                 ...   \n",
       "595                         {'slot': [], 'method': []}   \n",
       "596  {'slot': ['relation'], 'method': ['translation']}   \n",
       "597                         {'slot': [], 'method': []}   \n",
       "598  {'slot': ['transport_type', 'place_name'], 'me...   \n",
       "599                         {'slot': [], 'method': []}   \n",
       "\n",
       "                                             judgments  \\\n",
       "0    {'worker_id': ['41', '9', '15'], 'intent_score...   \n",
       "1    {'worker_id': ['16', '0', '9'], 'intent_score'...   \n",
       "2    {'worker_id': ['21', '11', '5'], 'intent_score...   \n",
       "3    {'worker_id': ['0', '21', '16'], 'intent_score...   \n",
       "4    {'worker_id': ['17', '6', '9'], 'intent_score'...   \n",
       "..                                                 ...   \n",
       "595  {'worker_id': ['16', '7', '4'], 'intent_score'...   \n",
       "596  {'worker_id': ['1', '9', '12'], 'intent_score'...   \n",
       "597  {'worker_id': ['3', '2', '27'], 'intent_score'...   \n",
       "598  {'worker_id': ['10', '36', '26'], 'intent_scor...   \n",
       "599  {'worker_id': ['64', '24', '40'], 'intent_scor...   \n",
       "\n",
       "                                                prompt        str_label  \\\n",
       "0    # Detect intent of the input utterance.\\n\\nUtt...      email_query   \n",
       "1    # Detect intent of the input utterance.\\n\\nUtt...   takeaway_query   \n",
       "2    # Detect intent of the input utterance.\\n\\nUtt...      email_query   \n",
       "3    # Detect intent of the input utterance.\\n\\nUtt...    qa_definition   \n",
       "4    # Detect intent of the input utterance.\\n\\nUtt...      lists_query   \n",
       "..                                                 ...              ...   \n",
       "595  # Detect intent of the input utterance.\\n\\nUtt...    weather_query   \n",
       "596  # Detect intent of the input utterance.\\n\\nUtt...  email_sendemail   \n",
       "597  # Detect intent of the input utterance.\\n\\nUtt...       play_music   \n",
       "598  # Detect intent of the input utterance.\\n\\nUtt...  transport_query   \n",
       "599  # Detect intent of the input utterance.\\n\\nUtt...   music_likeness   \n",
       "\n",
       "        pred_label_str  pred_label_int  \n",
       "0         travel_guide              -1  \n",
       "1        travel_ticket              -1  \n",
       "2    lists_createoradd              21  \n",
       "3         travel_query              -1  \n",
       "4       travel_traffic              -1  \n",
       "..                 ...             ...  \n",
       "595     datetime_query               0  \n",
       "596    email_sendemail              33  \n",
       "597       travel_guide              -1  \n",
       "598  transport_traffic              11  \n",
       "599       travel_guide              -1  \n",
       "\n",
       "[600 rows x 14 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eval"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze the performance of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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": 22,
   "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": 31,
   "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
}