process_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy import float32\n",
    "import torch\n",
    "from torch.utils import data\n",
    "import torch\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "class Sentence(object):\n",
    "    \"\"\"docstring for sentence\"\"\"\n",
    "    def __init__(self, content, target, rating, grained):\n",
    "        # 小写化句子\n",
    "        self.content, self.target = content.lower(), target\n",
    "        # grained是细粒度情感，共3种 positive，negative，neutral 1，-1， 0\n",
    "        self.solution = np.zeros((grained, ),dtype=np.int32)\n",
    "        # 句子长度\n",
    "        self.senlength = len(self.content.split(' '))\n",
    "        try:\n",
    "            # solution的index对应0,1,2的位置分别对应 negative -1, neutral 0, positive 1\n",
    "            # 如 rating = 1 即 positive，则 solution = [0, 0, 1]\n",
    "            # solution为真实的polarity vector\n",
    "            self.solution[int(rating)+1] = 1\n",
    "        except:\n",
    "            exit()\n",
    "\n",
    "    def stat(self, target_dict, wordlist, grained=3):\n",
    "        data, data_target, i = [], [], 0\n",
    "        # solution.shape = (senlength, 3), 输入一句话，预测出三种情感的数值\n",
    "        # 其实此处的solution没有用，它并非self.solution，因为它根本没有被调用的地方\n",
    "        solution = list(np.zeros((self.senlength, grained)))\n",
    "        # 把一句话的每个单词在wordlist里的映射添加到data列表里\n",
    "        for word in self.content.split(' '):\n",
    "            data.append(wordlist[word])\n",
    "            try:\n",
    "                # Lexicons_dict应该包含真实的 aspect-level-word 的 polarity\n",
    "                # 用 try 来 找出该句的 aspect word，pol 为该 aspect 在该句中的polarity\n",
    "                # pol = -1 / 0 / 1\n",
    "                # 不过有的句子并不包含真的 aspect level word 比如 It's cheap. 没有对应的aspect 'price' 这个词\n",
    "                pol = Lexicons_dict[word]\n",
    "                # 预测结果中句子的第i个单词的polarity = 1\n",
    "                solution[i][pol+1] = 1\n",
    "            except:\n",
    "                pass\n",
    "            i = i+1\n",
    "        # target就是aspect level word\n",
    "        for word in self.target.split(' '):\n",
    "            # 与映射句子的单词类似，添加到data_target列表\n",
    "            data_target.append(wordlist[word])\n",
    "        return {'seqs': data, 'target': data_target,\n",
    "                'solution': list(self.solution), 'target_index': self.get_target(target_dict)}\n",
    "\n",
    "    def get_target(self, dict_target):\n",
    "        return dict_target[self.target]\n",
    "\n",
    "class DataManager(object):\n",
    "\n",
    "    def __init__(self, dataset, grained=3, train=True, val=False, test=False):\n",
    "        self.fileList = ['train', 'test', 'dev']\n",
    "        self.origin = {}\n",
    "        self.train = train\n",
    "        self.val = val\n",
    "        self.test = test\n",
    "\n",
    "        for fname in self.fileList:\n",
    "            data = []\n",
    "            # 读取数据\n",
    "            with open('%s/%s.cor' % (dataset, fname)) as f:\n",
    "                sentences = f.readlines()\n",
    "                # 因为每三行为一个数据，第一行为sentence，第二行为aspect level word，第三行为polarity\n",
    "                for i in range(len(sentences)//3):\n",
    "                    content, target, rating = sentences[i*3].strip(), sentences[i*3+1].strip(), sentences[i*3+2].strip()\n",
    "                    # 每个 Sentecne 其实就是一个数据的实例，包含着评论，aspect level word 和对应的 polarity\n",
    "                    sentence = Sentence(content, target, rating, grained)\n",
    "                    data.append(sentence)\n",
    "            # origin字典保存着 train, test, dev 为键的预处理过的数据，\n",
    "            # 例如 train 数据保存着训练集的每一句话的单词在wordlist中对应的 index 组成的 vector，\n",
    "            # 以及该句话的 aspect level word 即 target，以及该 aspect 的 polarity 保存在 solution 里\n",
    "            self.origin[fname] = data\n",
    "        # 这里生成了 dict_target, 保存在了self.dict_target里\n",
    "        self.dict_target = self.gen_target()\n",
    "        self.gen_word()\n",
    "        # self.train_data, self.dev_data, self.test_data = self.gen_data()\n",
    "        self.gen_data()\n",
    "    def __getitem__(self, index):\n",
    "        return self.data['train'][index]\n",
    "\n",
    "    def gen_target(self, threshold=5):\n",
    "        self.dict_target = {}\n",
    "        # 遍历每个 train, dev, test 数据集\n",
    "        for fname in self.fileList:\n",
    "            # 遍历每一个 Sentence\n",
    "            for sent in self.origin[fname]:\n",
    "                # 如果dict_target 中包含了该 aspect level word，则该单词对应的值 +1\n",
    "                if self.dict_target.get(sent.target)is not None:\n",
    "                    self.dict_target[sent.target] = self.dict_target[sent.target] + 1\n",
    "                else:\n",
    "                    self.dict_target[sent.target] = 1\n",
    "        i = 0\n",
    "        # key = aspect level word, val = 出现次数\n",
    "        for (key,val) in self.dict_target.items():\n",
    "            # 如果出现次数少于5，就将对应的index设为0，不过如果第一个单词出现大于5次，不也被设为0了吗？\n",
    "            if val < threshold:\n",
    "                self.dict_target[key] = 0\n",
    "            else:\n",
    "                self.dict_target[key] = i\n",
    "                i = i + 1\n",
    "        return self.dict_target\n",
    "\n",
    "    def gen_word(self):\n",
    "        wordcount = {}\n",
    "        def sta(sentence):\n",
    "            for word in sentence.content.split(' '):\n",
    "                try:\n",
    "                    wordcount[word] = wordcount.get(word, 0) + 1\n",
    "                except:\n",
    "                    wordcount[word] = 1\n",
    "            for word in sentence.target.split(' '):\n",
    "                try:\n",
    "                    wordcount[word] = wordcount.get(word, 0) + 1\n",
    "                except:\n",
    "                    wordcount[word] = 1\n",
    "\n",
    "        for fname in self.fileList:\n",
    "            for sent in self.origin[fname]:\n",
    "                sta(sent)\n",
    "        # words = [(word1, count1), (word2, count2), ...] (其实是生成器，这里为了方便理解写成list)\n",
    "        words = wordcount.items()\n",
    "        # 按出现次数降序排列\n",
    "        words = sorted(words, key=lambda x:x[1], reverse=True)\n",
    "        # wordlist = {word1:1, word2:2, ...} index越小的单词出现次数越多\n",
    "        self.wordlist = {item[0]:index+1 for index, item in enumerate(words)}\n",
    "        return self.wordlist\n",
    "\n",
    "\n",
    "    def gen_data(self, grained=3):\n",
    "        self.data = {}\n",
    "        for fname in self.fileList:\n",
    "            # data字典保存着以 train, dev, test为键的数据列表\n",
    "            # 例如 train列表包含着一句sentence的数据，\n",
    "            # 包含了未对单词embedding的句向量seq，target为用来aspect embedding的单词，solution为情感极性的one-hot编码，target_index为aspect所属类别\n",
    "            self.data[fname] = []\n",
    "            for sent in self.origin[fname]:\n",
    "                self.data[fname].append(sent.stat(self.dict_target, self.wordlist))\n",
    "        return self.data['train'], self.data['dev'], self.data['test']\n",
    "\n",
    "    def word2vec_pre_select(self, mdict, word2vec_file_path, save_vec_file_path):\n",
    "        list_seledted = ['']\n",
    "        line = ''\n",
    "        with open(word2vec_file_path) as f:\n",
    "            for line in f:\n",
    "                tmp = line.strip().split(' ', 1)\n",
    "                if mdict.has_key(tmp[0]):\n",
    "                    list_seledted.append(line.strip())\n",
    "        list_seledted[0] = str(len(list_seledted)-1) + ' ' + str(len(line.strip().split())-1)\n",
    "        open(save_vec_file_path, 'w').write('\\n'.join(list_seledted))\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    datamanager = DataManager('data', train=True)\n",
    "    wordlist = datamanager.gen_word()\n",
    "    # dataloader = DataLoader(datamanager, batch_size=8, num_workers=4)\n",
    "    train, dev, test = datamanager.gen_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'the': 1,\n",
       " '.': 2,\n",
       " ',': 3,\n",
       " 'and': 4,\n",
       " 'food': 5,\n",
       " 'a': 6,\n",
       " 'is': 7,\n",
       " 'to': 8,\n",
       " 'miscellaneous': 9,\n",
       " 'i': 10,\n",
       " 'service': 11,\n",
       " 'was': 12,\n",
       " 'for': 13,\n",
       " 'of': 14,\n",
       " 'it': 15,\n",
       " 'in': 16,\n",
       " 'you': 17,\n",
       " 'this': 18,\n",
       " 'we': 19,\n",
       " 'great': 20,\n",
       " 'ambience': 21,\n",
       " '!': 22,\n",
       " 'with': 23,\n",
       " 'price': 24,\n",
       " 'but': 25,\n",
       " 'place': 26,\n",
       " 'that': 27,\n",
       " 'are': 28,\n",
       " 'good': 29,\n",
       " 'not': 30,\n",
       " 'have': 31,\n",
       " 'at': 32,\n",
       " \"'s\": 33,\n",
       " 'on': 34,\n",
       " \"n't\": 35,\n",
       " 'they': 36,\n",
       " 'my': 37,\n",
       " 'very': 38,\n",
       " 'were': 39,\n",
       " 'be': 40,\n",
       " 'restaurant': 41,\n",
       " 'had': 42,\n",
       " '(': 43,\n",
       " ')': 44,\n",
       " 'so': 45,\n",
       " 'there': 46,\n",
       " 'as': 47,\n",
       " 'go': 48,\n",
       " 'if': 49,\n",
       " 'all': 50,\n",
       " 'been': 51,\n",
       " 'like': 52,\n",
       " '-': 53,\n",
       " 'from': 54,\n",
       " 'here': 55,\n",
       " 'do': 56,\n",
       " 'best': 57,\n",
       " 'one': 58,\n",
       " 'an': 59,\n",
       " 'out': 60,\n",
       " 'their': 61,\n",
       " 'prices': 62,\n",
       " 'get': 63,\n",
       " 'or': 64,\n",
       " 'excellent': 65,\n",
       " 'has': 66,\n",
       " 'our': 67,\n",
       " 'would': 68,\n",
       " 'your': 69,\n",
       " 'delicious': 70,\n",
       " 'by': 71,\n",
       " '$': 72,\n",
       " 'staff': 73,\n",
       " 'atmosphere': 74,\n",
       " \"'ve\": 75,\n",
       " 'will': 76,\n",
       " 'always': 77,\n",
       " 'menu': 78,\n",
       " 'just': 79,\n",
       " 'about': 80,\n",
       " 'wine': 81,\n",
       " 'nice': 82,\n",
       " 'can': 83,\n",
       " 'back': 84,\n",
       " 'when': 85,\n",
       " 'friendly': 86,\n",
       " 'time': 87,\n",
       " 'what': 88,\n",
       " 'even': 89,\n",
       " 'pizza': 90,\n",
       " 'really': 91,\n",
       " 'more': 92,\n",
       " 'only': 93,\n",
       " 'well': 94,\n",
       " 'too': 95,\n",
       " 'try': 96,\n",
       " 'no': 97,\n",
       " 'me': 98,\n",
       " 'never': 99,\n",
       " 'than': 100,\n",
       " 'which': 101,\n",
       " 'us': 102,\n",
       " 'up': 103,\n",
       " 'better': 104,\n",
       " 'some': 105,\n",
       " 'sushi': 106,\n",
       " 'recommend': 107,\n",
       " 'also': 108,\n",
       " 'dinner': 109,\n",
       " 'restaurants': 110,\n",
       " 'people': 111,\n",
       " 'who': 112,\n",
       " 'while': 113,\n",
       " 'fresh': 114,\n",
       " 'most': 115,\n",
       " 'times': 116,\n",
       " 'wait': 117,\n",
       " 'went': 118,\n",
       " 'meal': 119,\n",
       " 'new': 120,\n",
       " 'night': 121,\n",
       " 'could': 122,\n",
       " 'experience': 123,\n",
       " 'table': 124,\n",
       " 'eat': 125,\n",
       " 'other': 126,\n",
       " 'drinks': 127,\n",
       " 'little': 128,\n",
       " 'ever': 129,\n",
       " 'small': 130,\n",
       " 'love': 131,\n",
       " 'made': 132,\n",
       " 'over': 133,\n",
       " 'lunch': 134,\n",
       " 'because': 135,\n",
       " 'definitely': 136,\n",
       " 'thai': 137,\n",
       " 'everything': 138,\n",
       " 'wonderful': 139,\n",
       " '...': 140,\n",
       " 'its': 141,\n",
       " 'again': 142,\n",
       " 'make': 143,\n",
       " 'worth': 144,\n",
       " 'chicken': 145,\n",
       " 'quality': 146,\n",
       " 'dishes': 147,\n",
       " 'tasty': 148,\n",
       " 'much': 149,\n",
       " 'after': 150,\n",
       " \"'re\": 151,\n",
       " 'way': 152,\n",
       " 'city': 153,\n",
       " 'did': 154,\n",
       " 'decor': 155,\n",
       " 'attentive': 156,\n",
       " 'indian': 157,\n",
       " '--': 158,\n",
       " 'friends': 159,\n",
       " 'ca': 160,\n",
       " 'bar': 161,\n",
       " 'cheap': 162,\n",
       " 'order': 163,\n",
       " 'area': 164,\n",
       " 'highly': 165,\n",
       " 'nyc': 166,\n",
       " 'want': 167,\n",
       " 'though': 168,\n",
       " 'average': 169,\n",
       " 'special': 170,\n",
       " 'ordered': 171,\n",
       " 'first': 172,\n",
       " 'around': 173,\n",
       " 'then': 174,\n",
       " 'many': 175,\n",
       " 'got': 176,\n",
       " 'them': 177,\n",
       " 'pretty': 178,\n",
       " 'say': 179,\n",
       " 'last': 180,\n",
       " 'reasonable': 181,\n",
       " 'two': 182,\n",
       " 'bit': 183,\n",
       " \"'m\": 184,\n",
       " 'any': 185,\n",
       " 'going': 186,\n",
       " 'being': 187,\n",
       " 'portions': 188,\n",
       " 'find': 189,\n",
       " 'looking': 190,\n",
       " 'neighborhood': 191,\n",
       " 'waiter': 192,\n",
       " 'before': 193,\n",
       " 'amazing': 194,\n",
       " 'come': 195,\n",
       " 'lot': 196,\n",
       " 'he': 197,\n",
       " 'how': 198,\n",
       " 'know': 199,\n",
       " 'expensive': 200,\n",
       " 'perfect': 201,\n",
       " 'taste': 202,\n",
       " '?': 203,\n",
       " 'list': 204,\n",
       " 'hot': 205,\n",
       " 'however': 206,\n",
       " 'came': 207,\n",
       " 'places': 208,\n",
       " 'favorite': 209,\n",
       " 'romantic': 210,\n",
       " 'authentic': 211,\n",
       " 'actually': 212,\n",
       " 'bad': 213,\n",
       " 'fish': 214,\n",
       " 'still': 215,\n",
       " 'visit': 216,\n",
       " 'york': 217,\n",
       " 'years': 218,\n",
       " 'take': 219,\n",
       " '2': 220,\n",
       " 'spot': 221,\n",
       " 'such': 222,\n",
       " 'dish': 223,\n",
       " 'priced': 224,\n",
       " 'large': 225,\n",
       " 'both': 226,\n",
       " 'ambiance': 227,\n",
       " 'quite': 228,\n",
       " 'friend': 229,\n",
       " 'cheese': 230,\n",
       " 'seated': 231,\n",
       " 'overall': 232,\n",
       " 'dining': 233,\n",
       " 'am': 234,\n",
       " 'italian': 235,\n",
       " 'rice': 236,\n",
       " 'sauce': 237,\n",
       " 'away': 238,\n",
       " 'value': 239,\n",
       " 'every': 240,\n",
       " 'nothing': 241,\n",
       " 'fast': 242,\n",
       " \"'ll\": 243,\n",
       " ':': 244,\n",
       " 'fantastic': 245,\n",
       " 'off': 246,\n",
       " 'down': 247,\n",
       " 'selection': 248,\n",
       " 'money': 249,\n",
       " 'dessert': 250,\n",
       " 'served': 251,\n",
       " 'must': 252,\n",
       " 'does': 253,\n",
       " 'appetizer': 254,\n",
       " 'tried': 255,\n",
       " 'cool': 256,\n",
       " 'next': 257,\n",
       " 'into': 258,\n",
       " 'french': 259,\n",
       " 'sure': 260,\n",
       " 'ny': 261,\n",
       " 'minutes': 262,\n",
       " 'often': 263,\n",
       " \"'d\": 264,\n",
       " 'least': 265,\n",
       " 'feel': 266,\n",
       " 'where': 267,\n",
       " 'without': 268,\n",
       " 'since': 269,\n",
       " 'date': 270,\n",
       " 'give': 271,\n",
       " 'his': 272,\n",
       " 'once': 273,\n",
       " 'warm': 274,\n",
       " 'live': 275,\n",
       " 'eating': 276,\n",
       " 'found': 277,\n",
       " 'decent': 278,\n",
       " 'those': 279,\n",
       " 'should': 280,\n",
       " 'few': 281,\n",
       " 'side': 282,\n",
       " 'disappointed': 283,\n",
       " 'rude': 284,\n",
       " 'makes': 285,\n",
       " 'fun': 286,\n",
       " 'enjoy': 287,\n",
       " 'cuisine': 288,\n",
       " 'reviews': 289,\n",
       " 'spicy': 290,\n",
       " 'left': 291,\n",
       " 'pay': 292,\n",
       " 'overpriced': 293,\n",
       " 'salad': 294,\n",
       " 'street': 295,\n",
       " 'soup': 296,\n",
       " 'right': 297,\n",
       " 'glass': 298,\n",
       " 'big': 299,\n",
       " 'yet': 300,\n",
       " 'group': 301,\n",
       " 'week': 302,\n",
       " 'think': 303,\n",
       " 'three': 304,\n",
       " 'anyone': 305,\n",
       " 'usually': 306,\n",
       " 'top': 307,\n",
       " 'cold': 308,\n",
       " 'took': 309,\n",
       " 'appetizers': 310,\n",
       " 'full': 311,\n",
       " 'fine': 312,\n",
       " 'eaten': 313,\n",
       " 'enjoyed': 314,\n",
       " 'outstanding': 315,\n",
       " 'see': 316,\n",
       " 'enough': 317,\n",
       " 'sit': 318,\n",
       " 'mediocre': 319,\n",
       " 'horrible': 320,\n",
       " 'different': 321,\n",
       " 'return': 322,\n",
       " 'family': 323,\n",
       " 'slow': 324,\n",
       " 'ok': 325,\n",
       " 'prompt': 326,\n",
       " 'waiters': 327,\n",
       " 'chef': 328,\n",
       " 'delivery': 329,\n",
       " 'day': 330,\n",
       " 'husband': 331,\n",
       " 'deal': 332,\n",
       " 'look': 333,\n",
       " 'huge': 334,\n",
       " 'waitress': 335,\n",
       " 'happy': 336,\n",
       " 'steak': 337,\n",
       " 'now': 338,\n",
       " 'extremely': 339,\n",
       " 'same': 340,\n",
       " 'need': 341,\n",
       " 'chinese': 342,\n",
       " 'coming': 343,\n",
       " 'outside': 344,\n",
       " 'room': 345,\n",
       " 'owner': 346,\n",
       " 'less': 347,\n",
       " 'shrimp': 348,\n",
       " 'during': 349,\n",
       " 'reservation': 350,\n",
       " 'cozy': 351,\n",
       " 'specials': 352,\n",
       " 'world': 353,\n",
       " 'quick': 354,\n",
       " 'thought': 355,\n",
       " 'plate': 356,\n",
       " 'high': 357,\n",
       " 'bill': 358,\n",
       " 'music': 359,\n",
       " 'real': 360,\n",
       " 'although': 361,\n",
       " 'keep': 362,\n",
       " 'roll': 363,\n",
       " \"'\": 364,\n",
       " 'east': 365,\n",
       " 'desserts': 366,\n",
       " 'else': 367,\n",
       " 'hour': 368,\n",
       " 'town': 369,\n",
       " 'fried': 370,\n",
       " 'leave': 371,\n",
       " 'felt': 372,\n",
       " 'another': 373,\n",
       " 'far': 374,\n",
       " 'thing': 375,\n",
       " 'finally': 376,\n",
       " 'simple': 377,\n",
       " 'impressed': 378,\n",
       " 'drink': 379,\n",
       " 'check': 380,\n",
       " 'may': 381,\n",
       " 'affordable': 382,\n",
       " 'everyone': 383,\n",
       " 'anything': 384,\n",
       " 'recommended': 385,\n",
       " 'part': 386,\n",
       " 'regular': 387,\n",
       " 'late': 388,\n",
       " 'home': 389,\n",
       " 'bring': 390,\n",
       " 'rolls': 391,\n",
       " 'work': 392,\n",
       " 'tuna': 393,\n",
       " 'reasonably': 394,\n",
       " 'asked': 395,\n",
       " 'sum': 396,\n",
       " 'door': 397,\n",
       " 'beautiful': 398,\n",
       " 'absolutely': 399,\n",
       " 'pleasant': 400,\n",
       " 'beef': 401,\n",
       " 'kind': 402,\n",
       " 'she': 403,\n",
       " 'terrible': 404,\n",
       " 'wrong': 405,\n",
       " 'japanese': 406,\n",
       " 'having': 407,\n",
       " 'pricey': 408,\n",
       " 'cute': 409,\n",
       " 'crowded': 410,\n",
       " 'worst': 411,\n",
       " 'bagels': 412,\n",
       " 'expect': 413,\n",
       " 'house': 414,\n",
       " '20': 415,\n",
       " 'bread': 416,\n",
       " 'wo': 417,\n",
       " 'cooked': 418,\n",
       " 'something': 419,\n",
       " 'ate': 420,\n",
       " '10': 421,\n",
       " 'chinatown': 422,\n",
       " 'especially': 423,\n",
       " 'seafood': 424,\n",
       " 'manager': 425,\n",
       " 'evening': 426,\n",
       " 'poor': 427,\n",
       " 'tables': 428,\n",
       " 'village': 429,\n",
       " 'choice': 430,\n",
       " 'dim': 431,\n",
       " 'ask': 432,\n",
       " 'beer': 433,\n",
       " 'pasta': 434,\n",
       " 'dumplings': 435,\n",
       " 'course': 436,\n",
       " 'couple': 437,\n",
       " 'below': 438,\n",
       " 'life': 439,\n",
       " 'terrific': 440,\n",
       " 'each': 441,\n",
       " 'used': 442,\n",
       " 'curry': 443,\n",
       " 'loved': 444,\n",
       " '5': 445,\n",
       " 'inexpensive': 446,\n",
       " 'comfortable': 447,\n",
       " 'birthday': 448,\n",
       " 'seems': 449,\n",
       " 'above': 450,\n",
       " 'myself': 451,\n",
       " 'entrees': 452,\n",
       " 'sweet': 453,\n",
       " 'manhattan': 454,\n",
       " 'sandwich': 455,\n",
       " 'sake': 456,\n",
       " 'saturday': 457,\n",
       " 'feeling': 458,\n",
       " '3': 459,\n",
       " 'whole': 460,\n",
       " 'noodles': 461,\n",
       " 'location': 462,\n",
       " 'cost': 463,\n",
       " 'trying': 464,\n",
       " 'lamb': 465,\n",
       " 'simply': 466,\n",
       " 'awesome': 467,\n",
       " 'space': 468,\n",
       " 'line': 469,\n",
       " 'waitstaff': 470,\n",
       " 'past': 471,\n",
       " 'party': 472,\n",
       " 'walk': 473,\n",
       " 'loud': 474,\n",
       " 'several': 475,\n",
       " 'bistro': 476,\n",
       " 'incredible': 477,\n",
       " 'getting': 478,\n",
       " 'told': 479,\n",
       " 'fact': 480,\n",
       " 'let': 481,\n",
       " 'entree': 482,\n",
       " 'almost': 483,\n",
       " 'ingredients': 484,\n",
       " 'bagel': 485,\n",
       " 'bartender': 486,\n",
       " 'yummy': 487,\n",
       " 'interesting': 488,\n",
       " 'probably': 489,\n",
       " 'wife': 490,\n",
       " 'typical': 491,\n",
       " 'her': 492,\n",
       " 'comes': 493,\n",
       " 'prepared': 494,\n",
       " 'helpful': 495,\n",
       " 'salads': 496,\n",
       " 'extensive': 497,\n",
       " 'wines': 498,\n",
       " '15': 499,\n",
       " 'review': 500,\n",
       " '6': 501,\n",
       " 'yourself': 502,\n",
       " 'lobster': 503,\n",
       " 'casual': 504,\n",
       " 'conversation': 505,\n",
       " 'customer': 506,\n",
       " 'wanted': 507,\n",
       " 'beat': 508,\n",
       " 'lovely': 509,\n",
       " 'said': 510,\n",
       " ';': 511,\n",
       " 'across': 512,\n",
       " 'entire': 513,\n",
       " 'water': 514,\n",
       " 'spent': 515,\n",
       " 'mind': 516,\n",
       " 'arrived': 517,\n",
       " 'understand': 518,\n",
       " 'done': 519,\n",
       " 'awful': 520,\n",
       " 'gave': 521,\n",
       " 'spectacular': 522,\n",
       " 'itself': 523,\n",
       " 'tiny': 524,\n",
       " 'person': 525,\n",
       " 'joint': 526,\n",
       " 'certainly': 527,\n",
       " 'owners': 528,\n",
       " 'main': 529,\n",
       " 'lived': 530,\n",
       " 'superb': 531,\n",
       " 'block': 532,\n",
       " 'half': 533,\n",
       " 'garlic': 534,\n",
       " 'garden': 535,\n",
       " 'despite': 536,\n",
       " 'green': 537,\n",
       " 'close': 538,\n",
       " '100': 539,\n",
       " 'twice': 540,\n",
       " 'rest': 541,\n",
       " 'open': 542,\n",
       " 'business': 543,\n",
       " 'hang': 544,\n",
       " 'why': 545,\n",
       " 'consistently': 546,\n",
       " 'old': 547,\n",
       " 'super': 548,\n",
       " 'rather': 549,\n",
       " 'ago': 550,\n",
       " 'upper': 551,\n",
       " 'things': 552,\n",
       " 'reservations': 553,\n",
       " 'jazz': 554,\n",
       " 'hungry': 555,\n",
       " 'except': 556,\n",
       " 'looks': 557,\n",
       " 'chocolate': 558,\n",
       " 'looked': 559,\n",
       " 'bottle': 560,\n",
       " 'size': 561,\n",
       " 'setting': 562,\n",
       " 'accomodating': 563,\n",
       " 'crab': 564,\n",
       " 'view': 565,\n",
       " 'soon': 566,\n",
       " 'empty': 567,\n",
       " 'sitting': 568,\n",
       " 'sat': 569,\n",
       " 'variety': 570,\n",
       " 'mouth': 571,\n",
       " 'black': 572,\n",
       " 'fabulous': 573,\n",
       " 'flavor': 574,\n",
       " 'considering': 575,\n",
       " 'until': 576,\n",
       " 'portion': 577,\n",
       " 'saw': 578,\n",
       " 'brunch': 579,\n",
       " 'point': 580,\n",
       " 'amount': 581,\n",
       " 'satisfied': 582,\n",
       " 'call': 583,\n",
       " 'quiet': 584,\n",
       " 'bite': 585,\n",
       " 'busy': 586,\n",
       " 'gets': 587,\n",
       " 'either': 588,\n",
       " 'square': 589,\n",
       " 'choices': 590,\n",
       " 'offer': 591,\n",
       " 'seen': 592,\n",
       " 'truly': 593,\n",
       " 'cafe': 594,\n",
       " 'second': 595,\n",
       " 'seating': 596,\n",
       " 'relaxed': 597,\n",
       " 'trip': 598,\n",
       " 'bland': 599,\n",
       " 'wallet': 600,\n",
       " 'pick': 601,\n",
       " 'save': 602,\n",
       " 'fare': 603,\n",
       " 'given': 604,\n",
       " 'summer': 605,\n",
       " 'recently': 606,\n",
       " 'upon': 607,\n",
       " 'might': 608,\n",
       " 'chance': 609,\n",
       " 'surprise': 610,\n",
       " 'end': 611,\n",
       " 'someone': 612,\n",
       " 'pad': 613,\n",
       " 'items': 614,\n",
       " 'sandwiches': 615,\n",
       " 'range': 616,\n",
       " 'slightly': 617,\n",
       " 'including': 618,\n",
       " 'year': 619,\n",
       " 'salmon': 620,\n",
       " 'completely': 621,\n",
       " 'dark': 622,\n",
       " 'hostess': 623,\n",
       " 'pleasantly': 624,\n",
       " 'surprised': 625,\n",
       " 'boyfriend': 626,\n",
       " 'forget': 627,\n",
       " 'stop': 628,\n",
       " 'problem': 629,\n",
       " 'cake': 630,\n",
       " 'these': 631,\n",
       " 'brooklyn': 632,\n",
       " 'anywhere': 633,\n",
       " 'called': 634,\n",
       " 'long': 635,\n",
       " 'reason': 636,\n",
       " 'packed': 637,\n",
       " 'avenue': 638,\n",
       " 'solid': 639,\n",
       " 'put': 640,\n",
       " 'midtown': 641,\n",
       " 'intimate': 642,\n",
       " 'offers': 643,\n",
       " 'miss': 644,\n",
       " 'add': 645,\n",
       " 'glad': 646,\n",
       " 'making': 647,\n",
       " 'disappointing': 648,\n",
       " 'gem': 649,\n",
       " 'treated': 650,\n",
       " 'please': 651,\n",
       " 'tastes': 652,\n",
       " 'kitchen': 653,\n",
       " 'unique': 654,\n",
       " 'style': 655,\n",
       " 'weekend': 656,\n",
       " 'opened': 657,\n",
       " 'traditional': 658,\n",
       " 'visited': 659,\n",
       " 'soft': 660,\n",
       " 'spice': 661,\n",
       " 'relaxing': 662,\n",
       " 'duck': 663,\n",
       " 'interior': 664,\n",
       " 'incredibly': 665,\n",
       " 'clean': 666,\n",
       " 'la': 667,\n",
       " 'stay': 668,\n",
       " 'crust': 669,\n",
       " 'serve': 670,\n",
       " 'suan': 671,\n",
       " 'soggy': 672,\n",
       " 'free': 673,\n",
       " 'ended': 674,\n",
       " 'red': 675,\n",
       " 'oh': 676,\n",
       " 'sometimes': 677,\n",
       " 'foods': 678,\n",
       " 'secret': 679,\n",
       " 'waiting': 680,\n",
       " 'believe': 681,\n",
       " 'friday': 682,\n",
       " 'own': 683,\n",
       " 'pork': 684,\n",
       " 'care': 685,\n",
       " 'tasted': 686,\n",
       " 'everytime': 687,\n",
       " 'afternoon': 688,\n",
       " 'scene': 689,\n",
       " 'customers': 690,\n",
       " 'fusion': 691,\n",
       " '7': 692,\n",
       " 'shows': 693,\n",
       " 'extra': 694,\n",
       " 'outdoor': 695,\n",
       " 'creative': 696,\n",
       " 'spend': 697,\n",
       " 'literally': 698,\n",
       " 'quickly': 699,\n",
       " 'fair': 700,\n",
       " 'instead': 701,\n",
       " 'read': 702,\n",
       " 'filled': 703,\n",
       " 'server': 704,\n",
       " 'rush': 705,\n",
       " 'vegetables': 706,\n",
       " 'pastrami': 707,\n",
       " 'tuk': 708,\n",
       " 'four': 709,\n",
       " 'low': 710,\n",
       " 'dry': 711,\n",
       " 'modern': 712,\n",
       " 'haru': 713,\n",
       " '1': 714,\n",
       " 'yes': 715,\n",
       " 'vibe': 716,\n",
       " 'servers': 717,\n",
       " 'lack': 718,\n",
       " 'sea': 719,\n",
       " 'occasion': 720,\n",
       " 'tip': 721,\n",
       " 'maybe': 722,\n",
       " 'received': 723,\n",
       " 'able': 724,\n",
       " 'treat': 725,\n",
       " '8': 726,\n",
       " 'white': 727,\n",
       " 'plus': 728,\n",
       " 'seat': 729,\n",
       " 'through': 730,\n",
       " '4': 731,\n",
       " 'front': 732,\n",
       " 'addition': 733,\n",
       " 'fixe': 734,\n",
       " 'share': 735,\n",
       " 'pie': 736,\n",
       " 'moved': 737,\n",
       " 'compared': 738,\n",
       " 'slice': 739,\n",
       " 'favorites': 740,\n",
       " 'name': 741,\n",
       " 'tell': 742,\n",
       " 'walked': 743,\n",
       " 'overly': 744,\n",
       " 'prix': 745,\n",
       " 'enjoying': 746,\n",
       " 'liked': 747,\n",
       " 'seem': 748,\n",
       " 'sichuan': 749,\n",
       " 'easy': 750,\n",
       " 'delectable': 751,\n",
       " 'dine': 752,\n",
       " 'thin': 753,\n",
       " 'crowd': 754,\n",
       " 'park': 755,\n",
       " 'run': 756,\n",
       " 'totally': 757,\n",
       " 'otherwise': 758,\n",
       " 'buffet': 759,\n",
       " 'surprisingly': 760,\n",
       " 'moment': 761,\n",
       " 'hip': 762,\n",
       " 'deli': 763,\n",
       " '%': 764,\n",
       " 'idea': 765,\n",
       " 'use': 766,\n",
       " 'dined': 767,\n",
       " 'st.': 768,\n",
       " 'host': 769,\n",
       " 'stick': 770,\n",
       " 'lucky': 771,\n",
       " 'smile': 772,\n",
       " 'doing': 773,\n",
       " 'management': 774,\n",
       " 'relax': 775,\n",
       " 'amazed': 776,\n",
       " 'hours': 777,\n",
       " 'visiting': 778,\n",
       " 'personal': 779,\n",
       " 'asian': 780,\n",
       " 'west': 781,\n",
       " 'whether': 782,\n",
       " 'tapas': 783,\n",
       " 'watching': 784,\n",
       " 'delight': 785,\n",
       " 'mom': 786,\n",
       " 'thoroughly': 787,\n",
       " 'plain': 788,\n",
       " 'complimentary': 789,\n",
       " 'ordering': 790,\n",
       " 'meals': 791,\n",
       " 'expected': 792,\n",
       " 'lots': 793,\n",
       " 'type': 794,\n",
       " 'fries': 795,\n",
       " 'head': 796,\n",
       " 'mean': 797,\n",
       " 'inside': 798,\n",
       " 'glasses': 799,\n",
       " 'delightful': 800,\n",
       " 'promptly': 801,\n",
       " 'heavy': 802,\n",
       " 'burgers': 803,\n",
       " 'gone': 804,\n",
       " 'job': 805,\n",
       " 'homemade': 806,\n",
       " 'along': 807,\n",
       " 'split': 808,\n",
       " 'vietnamese': 809,\n",
       " 'meat': 810,\n",
       " 'girls': 811,\n",
       " 'trendy': 812,\n",
       " 'wish': 813,\n",
       " 'oil': 814,\n",
       " 'available': 815,\n",
       " 'grand': 816,\n",
       " 'serves': 817,\n",
       " 'downtown': 818,\n",
       " 'girlfriend': 819,\n",
       " 'speak': 820,\n",
       " 'piece': 821,\n",
       " 'relatively': 822,\n",
       " 'okay': 823,\n",
       " 'sense': 824,\n",
       " 'months': 825,\n",
       " 'experienced': 826,\n",
       " 'efficient': 827,\n",
       " 'pieces': 828,\n",
       " 'hand': 829,\n",
       " 'says': 830,\n",
       " 'caviar': 831,\n",
       " 'beginning': 832,\n",
       " 'gotten': 833,\n",
       " 'groups': 834,\n",
       " 'tasting': 835,\n",
       " 'stumbled': 836,\n",
       " 'popular': 837,\n",
       " 'sunday': 838,\n",
       " 'enjoyable': 839,\n",
       " 'sashimi': 840,\n",
       " 'weekends': 841,\n",
       " 'doubt': 842,\n",
       " 'ice': 843,\n",
       " 'per': 844,\n",
       " 'show': 845,\n",
       " 'professional': 846,\n",
       " 'salty': 847,\n",
       " 'beyond': 848,\n",
       " 'pathetic': 849,\n",
       " 'taken': 850,\n",
       " 'quantity': 851,\n",
       " 'among': 852,\n",
       " 'greatest': 853,\n",
       " 'dont': 854,\n",
       " 'guests': 855,\n",
       " 'noise': 856,\n",
       " 'folks': 857,\n",
       " 'touch': 858,\n",
       " 'unfortunately': 859,\n",
       " 'stuff': 860,\n",
       " 'month': 861,\n",
       " 'sapphire': 862,\n",
       " 'hard': 863,\n",
       " 'mizu': 864,\n",
       " 'mushroom': 865,\n",
       " 'forward': 866,\n",
       " 'eats': 867,\n",
       " 'reading': 868,\n",
       " 'delivered': 869,\n",
       " 'spinach': 870,\n",
       " 'joints': 871,\n",
       " 'takeout': 872,\n",
       " 'grab': 873,\n",
       " 'higher': 874,\n",
       " 'sent': 875,\n",
       " 'ive': 876,\n",
       " 'walking': 877,\n",
       " 'beers': 878,\n",
       " 'unless': 879,\n",
       " 'die': 880,\n",
       " 'include': 881,\n",
       " 'establishment': 882,\n",
       " 'fan': 883,\n",
       " 'talk': 884,\n",
       " 'grilled': 885,\n",
       " 'resturant': 886,\n",
       " 'attitude': 887,\n",
       " 'taj': 888,\n",
       " 'easily': 889,\n",
       " 'sides': 890,\n",
       " 'positive': 891,\n",
       " 'buns': 892,\n",
       " 'saul': 893,\n",
       " 'joya': 894,\n",
       " 'oysters': 895,\n",
       " 'overbearing': 896,\n",
       " 'personable': 897,\n",
       " 'knew': 898,\n",
       " 'become': 899,\n",
       " 'burger': 900,\n",
       " 'break': 901,\n",
       " 'worked': 902,\n",
       " 'thank': 903,\n",
       " '2nd': 904,\n",
       " 'sorry': 905,\n",
       " 'pm': 906,\n",
       " 'fancy': 907,\n",
       " 'rao': 908,\n",
       " 'courteous': 909,\n",
       " 'anniversary': 910,\n",
       " 'calamari': 911,\n",
       " 'filling': 912,\n",
       " 'selections': 913,\n",
       " 'willing': 914,\n",
       " 'plenty': 915,\n",
       " 'happened': 916,\n",
       " 'counter': 917,\n",
       " 'presentation': 918,\n",
       " 'diner': 919,\n",
       " 'exceptional': 920,\n",
       " 'jekyll': 921,\n",
       " 'hyde': 922,\n",
       " 'taiwanese': 923,\n",
       " 'avoid': 924,\n",
       " 'noisy': 925,\n",
       " 'annoying': 926,\n",
       " 'true': 927,\n",
       " '40': 928,\n",
       " 'plan': 929,\n",
       " 'hands': 930,\n",
       " 'corner': 931,\n",
       " 'lousy': 932,\n",
       " 'classic': 933,\n",
       " 'basic': 934,\n",
       " 'serving': 935,\n",
       " 'waste': 936,\n",
       " 'changed': 937,\n",
       " 'orsay': 938,\n",
       " 'kids': 939,\n",
       " 'paid': 940,\n",
       " 'guys': 941,\n",
       " 'start': 942,\n",
       " 'possible': 943,\n",
       " 'mention': 944,\n",
       " 'choose': 945,\n",
       " 'barely': 946,\n",
       " 'joe': 947,\n",
       " 'imagine': 948,\n",
       " 'entertainment': 949,\n",
       " 'tea': 950,\n",
       " 'slices': 951,\n",
       " 'morning': 952,\n",
       " 'ignored': 953,\n",
       " 'five': 954,\n",
       " 'employees': 955,\n",
       " 'shanghai': 956,\n",
       " 'likely': 957,\n",
       " 'st': 958,\n",
       " 'nights': 959,\n",
       " 'noodle': 960,\n",
       " 'complete': 961,\n",
       " 'comfort': 962,\n",
       " 'trouble': 963,\n",
       " 'skip': 964,\n",
       " 'bucks': 965,\n",
       " 'short': 966,\n",
       " 'him': 967,\n",
       " 'cramped': 968,\n",
       " 'started': 969,\n",
       " 'known': 970,\n",
       " 'pizzas': 971,\n",
       " 'speedy': 972,\n",
       " 'tanks': 973,\n",
       " 'charming': 974,\n",
       " 'basil': 975,\n",
       " 'agree': 976,\n",
       " 'greeted': 977,\n",
       " 'toppings': 978,\n",
       " 'later': 979,\n",
       " 'help': 980,\n",
       " 'sharing': 981,\n",
       " 'ave': 982,\n",
       " 'students': 983,\n",
       " 'chic': 984,\n",
       " 'mix': 985,\n",
       " 'blue': 986,\n",
       " 'early': 987,\n",
       " 'cream': 988,\n",
       " '50': 989,\n",
       " 'crispy': 990,\n",
       " 'suggest': 991,\n",
       " 'jimmy': 992,\n",
       " 'hidden': 993,\n",
       " 'store': 994,\n",
       " 'adorable': 995,\n",
       " 'mahal': 996,\n",
       " 'rare': 997,\n",
       " 'knowledgable': 998,\n",
       " 'provided': 999,\n",
       " 'yeah': 1000,\n",
       " ...}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "                                                seqs   solution target  \\\n",
       "0                                       [4, 162, 22]  [0, 0, 1]   [24]   \n",
       "1  [1, 73, 7, 35, 1, 1573, 64, 115, 1303, 3, 4, 1...  [1, 0, 0]   [11]   \n",
       "2  [1, 11, 7, 77, 213, 168, 3, 56, 35, 413, 149, ...  [1, 0, 0]   [11]   \n",
       "3                 [10, 399, 131, 18, 26, 22, 22, 22]  [0, 0, 1]    [9]   \n",
       "4  [6, 41, 27, 253, 35, 96, 8, 56, 384, 556, 670,...  [0, 0, 1]   [21]   \n",
       "\n",
       "   target_index  \n",
       "0             0  \n",
       "1             1  \n",
       "2             1  \n",
       "3             2  \n",
       "4             3  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(train)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('train.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('train.csv')\n",
    "train.head()\n",
    "seqs_data = []\n",
    "solutions_data = []\n",
    "targets_data = []\n",
    "target_index_data = []\n",
    "\n",
    "for seqs in train['seqs']:\n",
    "    seqs_data.append(eval(seqs))\n",
    "for solution in train['solution']:\n",
    "    solutions_data.append(eval(solution))\n",
    "for target in train['target']:\n",
    "    targets_data.append(eval(target))\n",
    "for target_index in train['target_index']:\n",
    "    target_index_data.append(target_index)\n",
    "# seqs_data[:1], solutions_data[:1], targets_data[:1], target_index_data[:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  3,\n",
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       "  2],\n",
       " ...]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seqs_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "seqs_data = np.array(seqs_data)\n",
    "seqs_data = np.array(seqs_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([list([4, 162, 22]),\n",
       "       list([1, 73, 7, 35, 1, 1573, 64, 115, 1303, 3, 4, 10, 234, 2052, 13, 11, 3, 25, 138, 367, 80, 18, 26, 285, 103, 13, 15, 2]),\n",
       "       list([1, 11, 7, 77, 213, 168, 3, 56, 35, 413, 149, 14, 384, 54, 69, 704, 3, 4, 10, 68, 30, 107, 1304, 6, 270, 55, 588, 2]),\n",
       "       ..., list([1, 78, 7, 241, 52, 1, 58, 34, 1, 1805, 2]),\n",
       "       list([10, 68, 107, 1179, 33, 13, 27, 3, 25, 30, 13, 61, 5, 2]),\n",
       "       list([18, 7, 59, 194, 26, 8, 96, 105, 1712, 391, 2])], dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torchtext"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "TEXT = torchtext.data.Field(sequential=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "TEXT.build_vocab(seqs_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4176"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(TEXT.vocab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "tensor([24], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([24], dtype=torch.int32)\n",
      "tensor([21], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([11], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n",
      "tensor([9], dtype=torch.int32)\n",
      "tensor([5], dtype=torch.int32)\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "for seq in train['target']:\n",
    "    seq = torch.Tensor(eval(seq)).int()\n",
    "    print(seq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-0.0011,  0.0025,  0.0047],\n",
       "        [-0.0039, -0.0002,  0.0027],\n",
       "        [ 0.0001, -0.0078,  0.0041]])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ws = torch.rand((3, 3)).uniform_(-0.01, 0.01)\n",
    "Ws"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-0.0011,  0.0025,  0.0047],\n",
       "        [-0.0039, -0.0002,  0.0027],\n",
       "        [ 0.0001, -0.0078,  0.0041]], requires_grad=True)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ws.requires_grad_(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ws.requires_grad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "ss = torch.rand((3, 3)).uniform_(-1, 1)\n",
    "result = torch.matmul(Ws, ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method Tensor.backward of tensor([[-6.3306e-04, -4.6255e-03, -3.3278e-05],\n",
       "        [ 9.3019e-04, -4.6338e-03, -2.2384e-03],\n",
       "        [ 3.4747e-03, -2.2516e-03, -8.7778e-04]], grad_fn=<MmBackward>)>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.backward"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.nn.LSTM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Attributes:\n",
    "        weight_ih_l[k] : the learnable input-hidden weights of the :math:`\\text{k}^{th}` layer\n",
    "            `(W_ii|W_if|W_ig|W_io)`, of shape `(4*hidden_size x input_size)`\n",
    "        weight_hh_l[k] : the learnable hidden-hidden weights of the :math:`\\text{k}^{th}` layer\n",
    "            `(W_hi|W_hf|W_hg|W_ho)`, of shape `(4*hidden_size x hidden_size)`\n",
    "        bias_ih_l[k] : the learnable input-hidden bias of the :math:`\\text{k}^{th}` layer\n",
    "            `(b_ii|b_if|b_ig|b_io)`, of shape `(4*hidden_size)`\n",
    "        bias_hh_l[k] : the learnable hidden-hidden bias of the :math:`\\text{k}^{th}` layer\n",
    "            `(b_hi|b_hf|b_hg|b_ho)`, of shape `(4*hidden_size)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ".. math::\n",
    "        \\begin{array}{ll} \\\\\n",
    "            i_t = \\sigma(W_{ii} x_t + b_{ii} + W_{hi} h_{(t-1)} + b_{hi}) \\\\\n",
    "            f_t = \\sigma(W_{if} x_t + b_{if} + W_{hf} h_{(t-1)} + b_{hf}) \\\\\n",
    "            g_t = \\tanh(W_{ig} x_t + b_{ig} + W_{hg} h_{(t-1)} + b_{hg}) \\\\\n",
    "            o_t = \\sigma(W_{io} x_t + b_{io} + W_{ho} h_{(t-1)} + b_{ho}) \\\\\n",
    "            c_t = f_t c_{(t-1)} + i_t g_t \\\\\n",
    "            h_t = o_t \\tanh(c_t) \\\\\n",
    "        \\end{array}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        \\begin{array}{ll} \\\\\n",
    "        \n",
    "        \n",
    "                  v = \\rho * v + g \\\\\n",
    "                  p = p - lr * v\n",
    "\n",
    "        where p, g, v and :math:`\\rho` denote the parameters, gradient,\n",
    "        velocity, and momentum respectively.\n",
    "\n",
    "        This is in contrast to Sutskever et. al. and\n",
    "        other frameworks which employ an update of the form\n",
    "\n",
    "        .. math::\n",
    "             v = \\rho * v + lr * g \\\\\n",
    "             p = p - v\n",
    "\n",
    "        The Nesterov version is analogously modified.\n",
    "        \n",
    "        \\end{array}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-45-2d254ff22b6c>, line 7)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-45-2d254ff22b6c>\"\u001b[0;36m, line \u001b[0;32m7\u001b[0m\n\u001b[0;31m    if ids%3 == 0:\u001b[0m\n\u001b[0m                 ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 把txt写到csv里"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('data/test.cor')\n",
    "data = []\n",
    "example = []\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "for ids, line in enumerate(f.readlines()):\n",
    "    global example\n",
    "    example.append(line.replace('\\n', ''))\n",
    "    if len(example) == 3:\n",
    "        data.append(example)\n",
    "        example = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['and cheap !', 'price', '1'],\n",
       " [\"the staff is n't the friendliest or most competent , and i am stickler for service , but everything else about this place makes up for it .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"the service is always bad though , do n't expect much of anything from your server , and i would not recommend bringing a date here either .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['i absolutely love this place ! ! !', 'miscellaneous', '1'],\n",
       " [\"a restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['this place was not all that !', 'miscellaneous', '-1'],\n",
       " ['the food is great .', 'food', '1'],\n",
       " ['highly recommended ! ! ! ! !', 'miscellaneous', '1'],\n",
       " ['the food was really good , i had the onion soup and it was one of the best ever .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['a++ the service was good to excellent along with the attitude .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['we had a 3 hour brunch- they definitely do not rush you- and they kept the unlimited mimosas flowing the whole time .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"i 've been eating at taj mahal for over twenty years and have found them to be the most excellent of the indian eateries on this block of indian restaurants .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['anyway , the food is good , the price is right and they have a decent wine list .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['each table has a pot of boiling water sunken into its surface , and you get platters of thin sliced meats , various vegetables , and rice and glass noodles .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['the soup for the udon was soy sauce and water .', 'food', '-1'],\n",
       " ['we went to this restaurant based on prior internet comments .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the corned beef and pastrami are excellent , much less fatty than those big tourist places around times square .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['tuk tuk is one of the rare choices for me to go in brooklyn .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the location and ambience is ok but the food is what makes up for it .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['your money could easily be better spent elsewhere ( anywhere ) .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"after dinner , take your date to the huge dance floor , probably one of the biggest you 'll see in ny .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['my wife and i will usually only order one primi and one secondi and split them , as they tend to offer large portions .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the food was pretty tradional but it was hot and good with large portions .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['$ 160 for 2 filets , 2 sides , an appetizer and drinks .', 'food', '0'],\n",
       " ['the only positive was the wait staff , which was prompt , knowledgable , and likeable .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['top spot in town for vietnamese classics , better than places that cost a lot more .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['and they provided a delicious dessert on the house !', 'price', '1'],\n",
       " ['they were such a rip-off ( $ 8.95 for four small meat patties in steamed buns ) and not worth trying .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['really .', 'miscellaneous', '0'],\n",
       " ['this restaurant used to be pretty decent .', 'miscellaneous', '-1'],\n",
       " ['saul is pretty good , but definitely not great .', 'food', '1'],\n",
       " ['suan has challenged this loyalty .', 'miscellaneous', '0'],\n",
       " [\"yeah the crowd can take it a bit seriously , but it should n't .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['not the typical nyc gimmick theme restaurant .', 'ambience', '1'],\n",
       " ['our agreed favorite is the orrechiete with sausage and chicken ( usually the waiters are kind enough to split the dish in half so you get to sample both meats ) .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['no food snobs allowed , this place is for people who appreciate good food .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['but their best dish is thh thai spiced curry noodles with shrimp - a dish that would cost $ 23.95 is most places , but it is $ 16 here .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['this place is really trendi but they have forgotten about the most important part of a restaurant , the food .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"also , if you do n't want to sit at a certain table , you do n't have to !\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['love pizza 33..', 'miscellaneous', '1'],\n",
       " ['me and my girls will definitely go back .', 'miscellaneous', '1'],\n",
       " ['this place is really trendi but they have forgotten about the most important part of a restaurant , the food .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"the waitress remembers me and is very friendly , she knows what my regular is and that 's the fried mini buns with the condensed milk and the assorted fruits on beancurd .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i recommend the garlic shrimp , okra ( bindi ) , and anything with lamb .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"if you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['this place , however , has a lot less pretension than joya and the thai food is still above-average .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food arrived 20 minutes after i called , cold and soggy .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"all i can say is $ 2 pints during happy hour and the some of the cheapest oysters you 'll find in the city , though the quality is some of the best .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['you will not be disapointed at all .', 'miscellaneous', '1'],\n",
       " ['they are served with a free appetizer and the portions are perfect for lunch .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['we go often .', 'miscellaneous', '0'],\n",
       " [\"because we did n't have a reservation , we could only sit in the back garden , but it was great , secluded and perfect in nice weather .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['service is extraordinary , yet not overbearing , and the decor brings a taste of trendy soho into queens .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the chicken parm was edible but had canned tomato sauce and boxed pasta and the chicken with portobello mushrooms consisted of dry , inedible chicken with terrible sauce .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['i loved it and would highly recommend .', 'miscellaneous', '1'],\n",
       " ['there was a small group of us looking somewhere to eat kinda late on a weeknight and we ended up at pastis .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['like saying her bread comes from a special bakery when we have seen her buying it dowtown manhathan .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the whole set up is truly unprofessional and i wish cafe noir would get some good staff , because despite the current one this is a great place .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['this place is to be avoided .', 'miscellaneous', '-1'],\n",
       " ['the puke green walls leave a lot to be desired , but the food is very good .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"it 's like they took leftover chicken , poured oil and sprinkled pepper powder over it ( the sauce was translucent and red ) .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the food is delicious and beautifully prepared along with the friendly and personable service .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the steak tartare is a great bet , they fix it for you at the table .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['this is the best shabu-shabu restaurant in the try-state area .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the atmosphere is much better than sripraphai ( more modern and sleek ) .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['wow ! how have i missed this one , tried long tan last week for the first time and now know what the ny times and many more in the neighborhood already knew .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i am french and i really felt like home ! ! !', 'miscellaneous', '1'],\n",
       " ['the ambience is very romantic and definitely a good place to bring a date .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['haru on park s is simply disgusting .', 'miscellaneous', '-1'],\n",
       " [\"the food is very good for it 's price , better than most fried dumplings i 've had .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i just do not understand what the fuss is all about .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"little tonino 's is just awesome , our favorite delivery place in kennsington , honestly the best gnochi i have ever had !\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['at 5 dumplings for $ 1 , you just can not go wrong .', 'price', '1'],\n",
       " ['really depends on your luck !', 'miscellaneous', '0'],\n",
       " ['of course the reason its so packed is because the food is so delicious !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food was so-so .', 'food', '0'],\n",
       " ['the service was ok .', 'service', '0'],\n",
       " ['stepped on my foot on the second time he reached over me to adjust lighting .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['this is some really good , inexpensive sushi .', 'food', '1'],\n",
       " ['oh yes , and they lie on the phone , claiming they have seating in the garden , then of course the seats are not available .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"we 'd go back again\", 'miscellaneous', '1'],\n",
       " ['they are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place , but also become hostile !',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the food options rule .', 'food', '1'],\n",
       " ['granted the space is smaller than most , it is the best service you will find in even the largest of restaurants .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['haru serves very fresh fish , has a trendy , modern ambiance , prime location on park avenue south and friendly service .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the vibe is very relaxed and cozy , service was great and the food was excellent !',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the vibe is very relaxed and cozy , service was great and the food was excellent !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['well worth the trip , close to city hall and downtown subway stops .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"so , for good food i 'd recommend it , but not for a fun night out .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['the design and atmosphere is just as good .', 'ambience', '1'],\n",
       " ['bottom line : b+ for the food , f for the service .', 'service', '-1'],\n",
       " ['i loved this place ! !', 'miscellaneous', '1'],\n",
       " ['most of the servers are very attentive , friendly and quite attractive .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the makhani was ok -- the korma was bland .', 'food', '-1'],\n",
       " ['want to impress ?', 'miscellaneous', '0'],\n",
       " ['i went to amma after a friend recommended it .', 'miscellaneous', '0'],\n",
       " [\"just do n't do it .\", 'miscellaneous', '-1'],\n",
       " ['kalbi and nebbiolo do work together .', 'food', '0'],\n",
       " ['the burger was great , also .', 'food', '1'],\n",
       " ['went on a double date with friend and his girlfriend for a few drinks and appetizers .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['we began with the cheese fondue ( the artisanal blend ) and added apples and kielbasa to dip .',\n",
       "  'food',\n",
       "  '0'],\n",
       " [\"and all of that wo n't break your bank !\", 'price', '1'],\n",
       " ['to speak of the park side , words can not describe .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the signs , the specials menus , food , and even all the waitstaff are all totally japanese .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['otherwise , this place has great service and prices and a nice friendly atmosphere .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['good for dates or with friends .', 'miscellaneous', '1'],\n",
       " [\"for those that go once and do n't enjoy it , all i can say is that they just do n't get it .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the place is a little tight and on a cold day , the seating by the entranceway can be pretty drafty .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['the service was excellent and the food was delicious .', 'service', '1'],\n",
       " ['by the time we were done , it was past 1:00am .', 'miscellaneous', '0'],\n",
       " ['the service was mediocre , and the lack of air conditioning made for a less than comfortable meal .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"i do n't get it , what 's so special about prune ?\", 'miscellaneous', '-1'],\n",
       " ['you must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['food was good not great not worth the wait or another visit',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['truly the mark of an attentive waiter .', 'service', '1'],\n",
       " ['for the location , the prices are very reasonable .', 'price', '1'],\n",
       " ['this is the perfect spot for meeting friends , having lunch , dinner , pre-theatre or after-theatre drinks !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the chicken and steak were seasoned and cooked to perfection , and the lamb sandwhich is great for heartier appetites .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['service was excellent , and the ac worked very well too ( thank god , it was hot ! ) .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the fish is fresh and each piece is sliced to perfection and seasoned by the sushi chef ( usually with a little fresh wasabi and soy sauce but also sometimes with some sea salt ) .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"katz 's has been a nyc original for over 100 years .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['service was quick .', 'service', '1'],\n",
       " [\"baluchi 's has solid food and a nice decor at reasonable prices .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['definitely a great spot for a nice occasion or date .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['two people in our party felt like something else , and volare immediately obliged with two great dishes that were not in their regular menu .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"the food 's dazzling flavors overwhelm the palate , truly embracing the beauty of authentic thai cuisine .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['this is the jackel and hideof the restaurants on the ues .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"the service is friendly , if not the most prompt in the world , the food is great , and the prices , while not cheap , wo n't put your wallet out of commission .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['but that is highly forgivable .', 'miscellaneous', '1'],\n",
       " ['salads were fantastic .', 'food', '1'],\n",
       " ['i am relatively new to the area and tried pick a bgel on 2nd and was disappointed with the service and i thought the food was overated and on the pricey side .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['excellent lunch buffet for only $ 6.95 .', 'food', '1'],\n",
       " [\"so sorry i ca n't rate this better .\", 'miscellaneous', '0'],\n",
       " ['was surprisingly disappointed .', 'miscellaneous', '-1'],\n",
       " ['the service was attentive , yet unimposing , the food was far better than many notorious restaurants in midtown and the wine list is extensive and well priced .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['even the wine by the glass was good .', 'food', '1'],\n",
       " ['i went at 6:00 pm specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['from the moment you enter till the moment you walk out the friendly and helpful staff was was just fantastic .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"besides , when you have bad service , that 's less money you have to tip .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the decor is really blah , and not at all hip or happening .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['the food is okay and the prices here are mediocre .', 'price', '0'],\n",
       " ['maybe i say so because it looked promising for people who like artery-clogging jewish deli food , but turns out to be poorly run and awful .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['we ate at this thai place following the reviews but very unhappy with the foods .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"but i 'd go back\", 'miscellaneous', '1'],\n",
       " [\"it 's charmingly small and that leads to an atmoshere that is extremely cozy and romantic , even .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"if you want to save some money , do n't go here .\", 'price', '-1'],\n",
       " ['the only weird thing was if we got a bottle , the waitress would have simply multiplied the glass price x4 , which makes no sense whatsoever .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['i think the restaurant was too loud ( when full ) to be romantic .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['we actually gave 10 % tip ( which we have never done despite mediocre food and service ) , because we felt totally ripped off .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['i love when restaurants think using fancy expensive ingrediants makes the food fine cuisine , even with no idea how to use them .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['this is can became on e of the ny italian food fare institutions .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the food was delicious , the atmosphere was relaxed , and we have now adopted plate 347 as our secret on second !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['we actually gave 10 % tip ( which we have never done despite mediocre food and service ) , because we felt totally ripped off .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " [\"have eaten at ginger house several times , and it 's always good .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the food was spicy and delicious .', 'food', '1'],\n",
       " ['i had very high expectations for this place and made a reservation a couple of months in advance for a special occasion .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['they have it all -- great price , food , and service .', 'service', '1'],\n",
       " ['the food is great and they have a good selecion of wines at reasonable prices .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food there are sastifying .', 'food', '1'],\n",
       " ['we laughed when he finally offered us a dessert menu and we left a 10 percent tip , which was generous , i feel .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['not sure where the previous reviewer , lonk , dined , but saul is in a great neighborhood and has great food !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the place is a bistro which means : simple dishes and wine served efficiently in a bustling atmosphere .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"besides having the table we had been promised given to other restaurant patrons twice before we were actually seated , we were served dishes we had n't ordered three times , received one of our orders 20 minutes after the rest of the table had been served ( and that order was undercooked ) , and charged $ 45 more than we should have been on our bill .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the food portions are really large .', 'food', '1'],\n",
       " ['great indian food and the service is incredible .', 'food', '1'],\n",
       " ['my friends and i experienced amazing cheese and a delicious , new summer menu at artisanal last night .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i have been to rao 's probably 15 times the past 3 years and it keeps getting better .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"it 's constantly open , catering to the pakistani cabbies lined up on crosby st. , so there 's more turnover with the food than you 'd expect ( i.e. , surprisingly fresh ) .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['my wife had the fried shrimp which are huge and loved it .', 'food', '1'],\n",
       " ['the banana tower is an amazing dessert as well .', 'food', '1'],\n",
       " ['great food , good size menu , great service and an unpretensious setting .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"sushi was n't anything spectacular for the price .\", 'price', '-1'],\n",
       " [\"if you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you 'll love it here .\",\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['he takes real pride in his food and his business .', 'food', '1'],\n",
       " ['overall a oh ya even though there is waiting it is deff worth it',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['service was efficient courteous .', 'service', '1'],\n",
       " ['this place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the price was extremely reasonable for the appetizers and food we ate .',\n",
       "  'price',\n",
       "  '1'],\n",
       " [\"overall , i 'm still impressed that the place even exists and the prices are quite decent but then again , its chinatown .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"if you wrote a bad review , it 's because you do n't understand what rao 's is all about .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['great food at reasonable prices .', 'price', '1'],\n",
       " ['we love th pink pony .', 'miscellaneous', '1'],\n",
       " [\"my fiance took me to scopa last week for my birthday and i could n't believe the food .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['best dish is nori-wrapped tuna .', 'food', '1'],\n",
       " [\"we 've been to grocery three times and not once has an item on the menu disappointed .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"after dealing with subpar pizza all over the kensington neighborhood - i 've found little toninos .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['this is a cute place and could be good but they need to get their act together .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['at 6:30 , we were the third party there .', 'miscellaneous', '0'],\n",
       " ['the place is so cool and the service is prompt and curtious .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"they were able to squeeze me in at 6 after i called the night before my anniversary for a friday night reservation and told me they 'd treat us well for the occasion .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['i wish they would change back to what it was before .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['just go and see for yourself .', 'miscellaneous', '0'],\n",
       " ['our server was very helpful and friendly .', 'service', '1'],\n",
       " ['this is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i recently went to this restaurant with some co-workers for lunch and had an amazing time .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i had lobster bisque it has 2 oz . of maine lobster in it .', 'food', '1'],\n",
       " ['admittedly , this is not the place for gigantic pieces of fish overflowing the plate ( and thank goodness , in my opinion ) but for simple , elegant sushi there is no better place in new york or anywhere in the us .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the anti-pasta was excellent , especially the calamari , as were the filling pasta mains .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"meat dishes now adorn the selections , although there 's still a large number of vegetarian-friendly choices .\",\n",
       "  'food',\n",
       "  '0'],\n",
       " ['what an amazing meal and experience !', 'food', '1'],\n",
       " ['although we were looking for regular lettuce and some walnuts the salads we got were great .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['after a seafood craving , i checked citysearch and chose to go to fish based on a previous review and the citysearch info .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"it 's just o.k . pizza .\", 'food', '0'],\n",
       " ['anyway , the food is good , the price is right and they have a decent wine list .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['he offers subpar service and has no personality .', 'service', '-1'],\n",
       " ['it is obvious that no one in the restaurant has any idea about or experience with japanese cuisine .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the food is authentic italian - delicious !', 'food', '1'],\n",
       " [\"so all i 'm trying to say is this restaurant is by far the best thai food restaurant i 've ever been to .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['both are delicious , the cooks are friendly and are willing to take a moment and speak to you and shake your hand .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['if you want a casual neighborhood bistro that has great food and excellent service , this is the place .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['plenty of choices to make your own creation .', 'food', '1'],\n",
       " ['we happened upon this place purely by accident and were pleased with the results .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['we were a group of 8 and well seved .', 'miscellaneous', '0'],\n",
       " [\"it 's a perfect place to have a amanzing indian food .\", 'food', '1'],\n",
       " ['went here last night and had a pleasant experience .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"hey , i think $ 2+ for a 5 block walk ai n't bad .\", 'miscellaneous', '0'],\n",
       " ['we a menu that rearely changes , e xcept for one or two specials , the quality and care they put in thier food in evident .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"then , if they answer the phone , you 're lucky if they do n't hang up on you !\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"in fact , you ca n't miss it .\", 'miscellaneous', '1'],\n",
       " ['good drink .', 'food', '1'],\n",
       " ['if you want americanized chinese food with your usual watery , generic white sauce , this is your place .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['they might be all business at the counter when you give your order , but their food says i love you .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the best part of the experience was knowing that the manager ( a bubbly , friendly young woman with a great smile ) truly cared about how we were doing .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"i was at rao 's last wed .\", 'miscellaneous', '0'],\n",
       " [\"why make a reservation if you are n't going to keep it ?\", 'service', '-1'],\n",
       " ['they all know you .', 'service', '1'],\n",
       " [\"ballato 's is consistently delicious authentic italian food .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['obv caviar is top of the line but the rest of the menu is so diverse it gives you a chance to taste so manydifferent varietys .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['waitstaff is great , very attentive .', 'service', '1'],\n",
       " [\"the only other steakhouse that seems to hold a candle to roth 's is the strip house .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['mermaid inn is an overall good restaurant with really good seafood .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the sangria was pretty tasty and good on a hot muggy day .', 'food', '1'],\n",
       " ['this restaurant was way overhyped .', 'miscellaneous', '-1'],\n",
       " [\"so , for good food i 'd recommend it , but not for a fun night out .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['you can do it here .', 'miscellaneous', '0'],\n",
       " ['the staff makes you feel at home , the food is great and the atmosphere is wonderful !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['also very inexpensive .', 'price', '1'],\n",
       " ['staff is very accomodating .', 'service', '1'],\n",
       " [\"i do n't think i would go again .\", 'miscellaneous', '-1'],\n",
       " ['i have eaten here a handful of times , for no reason besides sheer convenience .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['my friend ordered some of their special sushi rolls which had excellent presentation and tasted great !',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"with so many good restaurants on the uws , i do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care .\",\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['while the new restaurant still features much of the same classical furniture that made tiffin so attractive , the menu has been overhauled .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"faan 's got a great concept but a little rough on the delivery .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['i found the food , service and value exceptional everytime i have been there .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['i was glad i did .', 'miscellaneous', '1'],\n",
       " ['i had been a regular due to the consistently good food and ease of getting a table .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['my husband and i thougt it would be great to go to the jekyll and hyde pub for our anniversary , and to our surprise it was fantastic .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i have been doing all of the above at the heartland brewery for over 5 years now and i have never been disappointed !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"probably much busier for lunch , it 's seldom crowded for dinner ( too close to downtown ) .\",\n",
       "  'ambience',\n",
       "  '0'],\n",
       " [\"do n't be fooled by crowds of people .\", 'miscellaneous', '-1'],\n",
       " [\"it 's a nice place to relax and have conversation .\", 'ambience', '1'],\n",
       " [\"we had pam 's special fried fish and it was amazing .\", 'food', '1'],\n",
       " ['i have enjoyed everything i have ever gotten and the fish is so fresh and always prepared in a great way .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"they did give a 15 % discount at the end , was n't enough , as they knew the service was horrible .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['my first time there i happened not to like the crab croquette apt that i ordered and they were happy to change it for me without making no big deal .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the view is spectacular , and the food is great .', 'ambience', '1'],\n",
       " ['i have eaten at shabu tatsu at least 5 times and i always want to go back for more !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['a word to the wise - the hoboken health inspector clued me to his findings that this is the cleanest restaurant in town .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"as much as i like the food there , i ca n't bring myself to go back .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['over price , and small portions .', 'food', '-1'],\n",
       " ['we had a most unpleasant experience at this restaurant .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['restaurant was dirty and unkempt .', 'ambience', '-1'],\n",
       " [\"i have been to roth 's twice and both times were very disappointing .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['still , any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house ...',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the bill is approximately $ 25 for 2 at lunch without drinks .',\n",
       "  'price',\n",
       "  '0'],\n",
       " ['i am amazed by the poor reviews- i find this place to be standout italian in an area flooded with italian- great prices , great atmosphere , good service and a wonderful wine list .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['butter was melted , white wine warm , cheese oozing everywhere .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the restuarant itself is not large , but seems to have several round tables to accomodate large groups hoping to save a buck to eat authentic taiwanese .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['we all had the tasting menu and unlike some of the other reviews , i felt there was more than enough food .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['some servers make you feel like they are doing you a favor to bring you the food .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['we had champagne and caviar and felt like princesses !', 'food', '1'],\n",
       " ['with so many poor experiences to be had in the theater district , is truly an excellent find !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['stumbled upon this gem of a pizza place and i will be going back frequently .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"i went to ruby foo 's after work with a group of 6 .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"this place does n't compare with mamoun 's in terms of price , freshness , value , and consisent quality , but that 's just my opinion .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['a narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"the cuisine from what i 've gathered is authentic taiwanese , though its very different from what i 've been accustomed to in taipei .\",\n",
       "  'food',\n",
       "  '0'],\n",
       " [\"sea has become so popular that they 've let it go to their heads .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['it is not a place for tourists or someone who has never dined in bay ridge .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['as for the bar , this is another bad idea .', 'food', '-1'],\n",
       " ['drinks way over priced .', 'price', '-1'],\n",
       " ['food-awesome .', 'food', '1'],\n",
       " ['for the people who want great food plus great service , roxy is a place to avoid !',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"we were exploring grand central and did n't want to eat in the food court .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['old school meets new world .', 'miscellaneous', '0'],\n",
       " [\"i 've dined at alain ducasse 's restaurant in monte carlo for half the price for the same excellent dining experience .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['they treated us well and the food was extremely fresh and well-prepared .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i 'll be back soon .\", 'miscellaneous', '1'],\n",
       " ['i always get the shabu-shabu dinner and the beef is always fresh .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i went to areo on a sunday afternoon with four of my girlfriends , and spent three enjoyable hours there .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the waiters are sweet , the food is tasty and the bill is never too large .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the staff makes you feel at home , the food is great and the atmosphere is wonderful !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"it 's super-trendy and there 's always someone to take that empty seat , so it seems that customer service has been deemed not of the essence .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the people in the restaurant were pretty obnoxious and loud .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['when we left at 8:00 pm , it was packed and noisy .', 'miscellaneous', '0'],\n",
       " ['i highly recommend visiting this restaurant and having dinner and drinks !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i have to say i have never had a disapointing meal here .', 'food', '1'],\n",
       " ['terrible , terrible management - deserves to be shut-down .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"we picked it randomly , without a recommendation from someone who has been there , so we were n't sure what to expect .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"if i wanted to deal with a crappy scene and annoying customers i 'd go out in manhattan .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['best reuben sandwich ever !', 'food', '1'],\n",
       " ['then we ordered a dinosaur rolls and white tuna sashimi .', 'food', '0'],\n",
       " ['they refuse to seat parties of 3 or more on weekends .', 'service', '-1'],\n",
       " ['stick to dimsum , not super overpriced noodles .', 'price', '-1'],\n",
       " ['oh , but wait , we were out of drinks ( which were also delightfully overpriced ) .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['if anyones has doubt of not knowing enough about wines , please check their wine list .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i would go back .', 'miscellaneous', '1'],\n",
       " ['this is a true gem of the village .', 'miscellaneous', '1'],\n",
       " ['decent thai food in cute - though a bit dank - little nolita hangout , but service terrible .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['nice atmosphere , the service was very pleasant and the desert was good .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['i have never before eaten 40 pieces of relatively good nigiri .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['the wine list is extensive and can easily hike up an otherwise reasonably priced meal .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the back garden sitting area is very pleasant , where you can see their personal herb garden .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"also , do n't plan on asking for your favorite roll , if it 's not on the menu , you ca n't have it .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"i 've been there a few times , and i usually end up sitting next to some pretty odd people .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['i went to pams with my girlfriend , and i love it .', 'miscellaneous', '1'],\n",
       " [\"the food at this place is 'gourmet ' indian cuisine .\", 'food', '0'],\n",
       " ['even though i made the reservation at 3pm for the same night through dinnerbroker , we were seated at a table with one of the best view !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"go only if you are already in the neighborhood and do n't want to bother going farther for a better place .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['the sushi was awful !', 'food', '-1'],\n",
       " ['frites were delicious if a bit on the thick side .', 'food', '1'],\n",
       " ['the garlic mashed potatoes are hands down the best in the city !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['wont come back again for sure !', 'miscellaneous', '-1'],\n",
       " ['i work around the corner and tried it with a colleague for the first time .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['my husband and i have been there a couple of times and each time we sat at the sushi bar ( chef yoshi ) and ordered everything ala carte .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"tried the pad see ew on the recommendation of the last reviewer since it 's one of my favorite dishes .\",\n",
       "  'food',\n",
       "  '0'],\n",
       " [\"i would definitely recommend mary 's and am making it one of my regular neighborhood haunts .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['disappointing food , lousy service .', 'food', '-1'],\n",
       " ['i asked for seltzer with lime , no ice .', 'food', '0'],\n",
       " [\"service is highly refined : our seating was delayed 35 minutes past our reservation and the maitre d ' apologized and regularly kept us apprised of progress .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['for asian fusion , there are many places further downtown .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['get your food to go , find a bench , and kick back with a plate of dumplings .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"and there 's no way out .\", 'miscellaneous', '0'],\n",
       " ['the freshest , best variety , and the fastest delivery .', 'food', '1'],\n",
       " ['we both opted for a pasta dish and they were served timely and fresh .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['turned out there was full service upstairs and sat down .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['usually 3 vs. 4 items per dish .', 'food', '0'],\n",
       " ['it could have been handled better .', 'miscellaneous', '-1'],\n",
       " ['excellent experience .', 'miscellaneous', '1'],\n",
       " ['the only thing more wonderful than the food ( which is exceptional ) is the service .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['this was a great surprise .', 'miscellaneous', '1'],\n",
       " ['the service was friendly and the atmosphere was casual .', 'ambience', '1'],\n",
       " [\"i love ess-a-bagel , but i live on the west side , so i often go to murray 's for convenience .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"i have been to mary 's many times and i like it .\", 'miscellaneous', '1'],\n",
       " [\"food is average , and i would say even the chain restaurant baluchi 's tastes better .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"we 've been following chef lyle 's food around new york for 15 years and while remaining classic , his innovations with bistro fare have made us return and return .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['not worth the prices .', 'price', '-1'],\n",
       " ['leon is an east village gem : casual but hip , with well prepared basic french bistro fare , good specials , a warm and lively atmosphere .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food was not fresh , the sauces were bland and very oily .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['overall , not worth the money .', 'price', '-1'],\n",
       " ['sandwiches tho pricey are over stuffed - can serve 2 persons easily thus cost effective !',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['when we arrived at 6:00 pm , the restaurant was practically empty .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['i was with a party of 7 ( close but not next the the front doors ) and we were eating with our coats on .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"the wine and cheese plate are plentiful and ca n't wait to try the fondue or table grilling .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"the food is uniformly exceptional , with a very capable kitchen which will proudly whip up whatever you feel like eating , whether it 's on the menu or not .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['all we received was an apology as we left to see our show without dinner .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"the one vegetarian entree ( abby 's treasure ) was actually quite a surprise - it was delicious and had wintermelon covering an assortment of fresh mushrooms and vegetables .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['if the omakase is to showcase technique and variety , serving almost 40 % of items bbq-ed and a spicy tuna roll wrapped with not-so-fresh nori seems to be a rather limp performance .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the blond wood decor is very soothing , the premium sake is excellent and the service is great .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"always full with tourists ( especially because of it 's close proximity to rockefeller center ) .\",\n",
       "  'ambience',\n",
       "  '0'],\n",
       " ['the food is outstanding and the service is quick , friendly and very professional .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"we try frequenting new restaurants all over the city , but any time that we visit a restaurant other than roth 's we are always disappointed .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the signs , the specials menus , food , and even all the waitstaff are all totally japanese .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i plan on stopping by next week as well .', 'miscellaneous', '1'],\n",
       " [\"the halibut was too salty , dessert was so so ( do n't waste any of your calories ) and service was poor .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['very good wine choices .', 'food', '1'],\n",
       " ['the portions are large and the servers always surprise us with a different starter .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the corned beef was tender and melted in my mouth .', 'food', '1'],\n",
       " ['i went to utsav about a yr ago with my family .', 'miscellaneous', '0'],\n",
       " ['priced at upper intermediate range .', 'price', '-1'],\n",
       " ['i have been there many times , and food is good and consistent .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['black white shakes came out good also .', 'food', '1'],\n",
       " [\"try the pad thai , it 's fabulous and their prices are so cheap !\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['tends to turn people away .', 'miscellaneous', '-1'],\n",
       " ['i found this restaurant to be one that truly values its patrons .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the menu changed , portions were even smaller than before , a lentil dish was salty beyond edibility , a basmati rice dish lacked flavor .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['nobody at this restaurant will give firm answers about anything and in the end , not one person takes responsibility for anything .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['another welcome addition to the neighborhood .', 'miscellaneous', '1'],\n",
       " ['quality of food is excellent and price is cheap , stick to pork , fish , chicken , lamb and vegetables .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['no plans to return anytime soon .', 'miscellaneous', '-1'],\n",
       " ['zero ambiance to boot .', 'ambience', '-1'],\n",
       " [\"when asked about how a certain dish was prepared in comparison to a similar at other thai restaurants , he replied this is not mcdonald 's , every place makes things differently while it is understandable that every place is indeed different , there was not a need to be uncourteous to customers and downright rude .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['great food , great decor , great service .', 'ambience', '1'],\n",
       " ['all the food was excellent - considering the quality of food in most moderately priced restaurants is mediocre this was slightly more pricey and well worth it .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['very neighborhoody , very quick and sufficient .', 'ambience', '1'],\n",
       " ['i live in the neightborhood and am a regular .', 'miscellaneous', '1'],\n",
       " [\"the prices and ambience are especially great considering it 's in the west village .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['my friends and i experienced amazing cheese and a delicious , new summer menu at artisanal last night .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['consistently good japanese tapas .', 'food', '1'],\n",
       " ['i went to df for valentines day dinner .', 'miscellaneous', '0'],\n",
       " ['we were fans of the half-price saturday night option until some inedible squid during a recent visit .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['unlike other places in nyc where the sandwiches you want only come as a triple-decker , here you can get what you want in a reasonably-sized portion ( and price ) .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['enjoy ! ! !', 'miscellaneous', '1'],\n",
       " ['now if they could only get a toaster .', 'miscellaneous', '-1'],\n",
       " ['the environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the food and staff always surprise me with the new heights they are taken to .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the prices can not be beat for the quality , quantity , freshness and taste .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['service here was great , food was fantastic .', 'food', '1'],\n",
       " ['ambiance and music funky , which i enjoy .', 'ambience', '1'],\n",
       " ['this food is asian-air fusion .', 'food', '0'],\n",
       " ['it was divine melts in your mouth .', 'food', '1'],\n",
       " ['food was okay , nothing great .', 'food', '0'],\n",
       " ['the food is awesome - definitely try the striped bass .', 'food', '1'],\n",
       " ['we had a great tiem watching the shows and characters and ar food was just what we were looking for .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['no food snobs allowed , this place is for people who appreciate good food .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['however , i think this place is a good hang out spot .', 'ambience', '1'],\n",
       " [\"i definitely would n't go back .\", 'miscellaneous', '-1'],\n",
       " ['both are delicious , the cooks are friendly and are willing to take a moment and speak to you and shake your hand .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i go and eat out at many different restaurants and this is one place you have go and try .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['we ended the dinner with a surprisingly light and flaky apple tarte tatin .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we have tried every thai restaurant between atlantic avenue and 4th streets , and joya is the best .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"going to ballato 's is like coming home and eating in my own kitchen , an absolute delight !\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['had 1 appetizer , 2 entrees and 2 cokes and the bill was ~ $ 55.00 , not including tip .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['service is extraordinary , yet not overbearing , and the decor brings a taste of trendy soho into queens .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the only fallback on this restaurant is the prices .', 'price', '-1'],\n",
       " [\"all of it was simply amazing , unique and tasty and best of all it did n't break the bank .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"my wife and i went to orsay for valentine 's dinner .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['leave the kids at home !', 'miscellaneous', '0'],\n",
       " ['the location is perfect .', 'ambience', '1'],\n",
       " ['i would have gotten some cole slaw and a knish if my stomach had more space .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['this is such a lovely , peaceful place to eat outside .', 'ambience', '1'],\n",
       " [\"check it out , it wo n't hurt your stomach or your wallet .\", 'price', '1'],\n",
       " ['the food is great and reasonably priced .', 'food', '1'],\n",
       " ['we also ordered two hot dogs thinking they would be pretty good since there is a whole section on the menu devoted to them .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['just bring someone who speaks cantonese because waiter may not understand you .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['delivery is fast too .', 'service', '1'],\n",
       " ['the staff is accomodating , the ambiance is exciting and yet relaxed , and the food is out of this world !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the food , drinks and service are clearly among the best in the city .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"do n't judge this place prima facie , you have to try it to believe it , a home away from home for the literate heart .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['you order from a menu , so you leave feeling like you missed the full experience .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['the food was not very tasty , the portioins were tiny even for such a high quality restaurant .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['immediately after we paid , the waiter took the money and said , okay , you guys are outta here .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"believe us , we 've been eating sushi for over 15 yrs .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['yes , there might be a wait if you have no reservations .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"the food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i loving bringing friends here - and i do so every chance i get .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i recommend their pad see ew , pork chops or tofu plates .', 'food', '1'],\n",
       " ['great sushi experience .', 'food', '1'],\n",
       " ['i have to say that if this what makes it easier to get a saet a lunch- i dont mind .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['try the pad se-ew or chicken with cashew nuts for a memorable and repeatable experience .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we always get a sampling of appetizers and share .', 'miscellaneous', '0'],\n",
       " ['other guests enjoyed pizza , santa fe chopped salad and fish and chips .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['my husband and i both ordered the steak , medium .', 'food', '0'],\n",
       " ['the food was below average , the service was pathetic , there was no ambience at all .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['it has been my first choice ever since i discovered it .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the chicken pot pie is excpetiona , the cheeseburger huge and delictable , and the service professional wan warm .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we will definitely go back .', 'miscellaneous', '1'],\n",
       " ['wait staff is blantently unappreciative of your business but its the best pie on the uws !',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['service here was great , food was fantastic .', 'service', '1'],\n",
       " [\"all of it was simply amazing , unique and tasty and best of all it did n't break the bank .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['i will have to say , this bengali fast food joint is clearly my favorite .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['three strikes and this restaurant is out .', 'miscellaneous', '-1'],\n",
       " ['i love and i know gourmet food by excellence !', 'food', '1'],\n",
       " [\"the catch is that you are charged extra for anything that you leave on your plate so do n't be a greedy pig !\",\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['my six year old loved it .', 'miscellaneous', '1'],\n",
       " [\"i did n't expect to like nosh as much as i did , but the pastrami on challah sandwich i had was otherworldly , the soups are like mom 's , and the knishes give yonah schimmel 's a run for its money .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['delicate spices , onions , eggs and a kick-ass roti .', 'food', '1'],\n",
       " ['the waitress , seems to be more concerned of looking good than actually waitressing .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"it 's really a takeaway place , i would n't sit if i could take it home .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['my turkey burger was not cooked at all , my friends salmon was completely raw .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['slightly above average wines start at $ 70+ with only one selection listed at $ 30+ .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"it 's a place for people who pay a lot for mediocre food , noise and a chance to be with their fellow bridge and tunnel folks .\",\n",
       "  'food',\n",
       "  '0'],\n",
       " ['my friends and i have been going here regularly for two years .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['we asked to be moved ( which took half an hour ) , and then were seated in a high traffic area in the back , even though the rest of the room was practically empty .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['scalina fedeli reminded me why service is so integral to fine dining .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i would definitely go back -- if only for some of those exotic martinis on the blackboard .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i 've eaten thai many times , and am very familiar with the cuisine .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the restaurant is dark and not very attractive and then you have spot lights shining on you putting you in the worst light possible , reaching for sunglasses .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['take a good sense of humor , an american express card with no limit , walk out with a lollipop , gift bag in hand and enough marketing materials for alain to to take the show on the road',\n",
       "  'price',\n",
       "  '-1'],\n",
       " [\"as i made the title , it 's an affordable restaurant for great taste .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['great friendly service , fast seating , fast delivery , excellent sushi .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"it 's the perfect restaurant for ny life style , it got cool design , awsome drinks and food and lot 's of good looking people eating and hanging at the pink bar ...\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['delicious simple food in nice outdoor atmosphere .', 'ambience', '1'],\n",
       " [\"we saw them heating up at least one frozen item though i 'm not sure which dim sum dish it was .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['when we stumbled on leon , we thought that we had found quite the gem but , we were certainly wrong .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['the service is fantastic .', 'service', '1'],\n",
       " ['the service is excellent , the decor is great , and the food is delicious and comes in large portions .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i was pretty much full after our fondue appetizer .', 'food', '1'],\n",
       " ['also , the hostess called me today to thank us for coming and mentioned how she hoped that my girlfriend enjoyed her birthday - unexpected , but a truly above and beyond thing to do ...',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['however , i was there for a work dinner not long ago when my colleague from london noticed a very large waterbug on the ceiling .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"it just was n't thai .\", 'miscellaneous', '-1'],\n",
       " ['behind this counter , two men are squeezed in .', 'ambience', '-1'],\n",
       " ['i care more about the food and ambience .', 'ambience', '0'],\n",
       " ['have been dozens of times and never failed to enjoy the experience .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['overall a worthwhile experience .', 'miscellaneous', '1'],\n",
       " ['example is the soup which was about 6 oz for $ 12 dollars and the mushrooms where $ 12 for about 1oz .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['they do cater to american palates , but if you like it hot let them know and they are more than willing to oblige !',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['avoid this place !', 'miscellaneous', '-1'],\n",
       " ['total hipster-wannabe attitude in an otherwise sweet spot .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['everything looks great , the drinks , the decor , the food , even the people .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['and its absolutely delicious .', 'food', '1'],\n",
       " [\"have frequented 'ino for several years and the food remains excellent .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['terrific menu full of unique rolls and special dishes .', 'food', '1'],\n",
       " ['thr at moshphere is compact , modern , yet cozy .', 'ambience', '1'],\n",
       " ['try the lasagnette appetizer .', 'food', '1'],\n",
       " ['from the terrible service , to the bland food , not to mention the unaccommodating managers , the overall experience was horrible .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['lunch came with pickels and slaw , no extra charge .', 'price', '1'],\n",
       " ['i am not a vegetarian but , almost all the dishes were great .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['my roommate and i love this place .', 'miscellaneous', '1'],\n",
       " ['the food is so cheap and the waiters are nice .', 'price', '1'],\n",
       " ['the food was terrific and the service classy , attentive , without being overbearing .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"open late ( well as late as i ever got there and i 'm a night person )\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['good atmosphere , combination of all the hottest music dress code is relatively strict except on fridays .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['food and service was okay .', 'service', '0'],\n",
       " [\"if you go for the pre-theatre menu , it 's an even greater deal .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['three page wine menu , one page entree and horedevous .', 'food', '1'],\n",
       " ['the flavors are very fresh and pretty inobtrusive , nothing flashy .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['my wife and i will usually only order one primi and one secondi and split them , as they tend to offer large portions .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['stick to dimsum , not super overpriced noodles .', 'food', '-1'],\n",
       " ['as there were so many to choose from we wandered up and down the street looking in the windows and such noticicing many empty seats , except at taj mahal .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['great bagels , spreads and a good place to hang out in .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['great pizza and fantastic service .', 'service', '1'],\n",
       " ['decor is nice though service can be spotty .', 'service', '1'],\n",
       " ['a real dissapointment .', 'miscellaneous', '-1'],\n",
       " ['somewhat pricey but what the heck .', 'price', '-1'],\n",
       " ['ambiance is barely romantic but management tries .', 'ambience', '-1'],\n",
       " ['so i thought why not change it up a bit .', 'miscellaneous', '0'],\n",
       " ['the buffet had a nice selection .', 'food', '1'],\n",
       " ['this is probably one of my new favorite places .', 'miscellaneous', '1'],\n",
       " ['maybe tomorrow ; - )', 'miscellaneous', '0'],\n",
       " ['the selection changes frequently but the basic dishes are always available .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['good , dark atmosphere and the music is a nice touch .', 'ambience', '1'],\n",
       " [\"we all ate pasta entre'es , which were great .\", 'food', '1'],\n",
       " [\"i 've been eating at taj mahal for over twenty years and have found them to be the most excellent of the indian eateries on this block of indian restaurants .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['however , go for the ambience , and consider the food just a companion for a trip across the world !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['from an english speaking staff .', 'miscellaneous', '0'],\n",
       " ['its a go-to for dates as well as entertaining out of town guests .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['while we thoroughly enjoyed the food , it was annoying to scream across the table for conversation .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['the miso soup lacked flavor and the fish was unfortunately not as well prepared as in the past .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['while the place is not a hotspot hangout , the drinks are unique and pack a lot of bang for the buck .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"would recommend this place as a good date spot if you do n't want to drop a ton of cash .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['go there to relax and feel like your somewhere else .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"i live a block away and go to patsy 's frequently .\", 'miscellaneous', '0'],\n",
       " [\"the dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of chinese here ) .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['none of that yucky whipped stuff .', 'food', '1'],\n",
       " ['the owner truly caters to all your needs .', 'service', '1'],\n",
       " ['right off the l in brooklyn this is a nice cozy place with good pizza .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['highly recommend this as great value for excellent sushi and service .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['my first time here was with my gf for our 12 month anniversary .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['i drop more dollar bills here than your uncle after a weekend at scores .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"it 's definately not a place to go if you want to impress someone .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"sapphire is the only indian restaurant i go to when i 'm in nyc .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['we have been to this place many times , and always have great food , wine , and service .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the fried rice is really good too .', 'food', '1'],\n",
       " ['the prices were cheap compared to the quality of service and food .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food there is so good that even to order out the wait is incredible .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['this restaurant is a wonderful place to go many times and it is reasonably priced .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i stumbled upon this great pizzeria as i explored my new neighborhood .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"at night , but it 's hard to hear your own conversation with everyone else competing for that same luxury - the music playing in the background is also voluminous .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"we ate out in the back patio , which is worth it as it 's cool and the music is hear well there .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['a cool place to hang with your friends for a couple of healthy drinks and desserts .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"you do n't go to mizu for excellent service , you go for the large amounts of food , the amiable atmosphere , and the hole-in-the-wall feeling of the place .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"over the years the host , vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"i must say it 's a little pricey for the food because it was not as spectacular as the view .\",\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['the fried dumplings are great !', 'food', '1'],\n",
       " ['as a retired hipster , i can say with some degree of certainty that for the last year lucky strike has been the best laid-back late night in the city .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"i would recommend roxy 's for that , but not for their food .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['my friend from milan and myself were pleasantly surprised when we arrived and everyone spoke italian .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"not only was the food outstanding , but the little 'perks ' were great .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['honestly the worst sushi my husband and i had in our entire lives .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"all in all a wonderful experience , ca n't wait to come back .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"joe 's pizza used to have the best slice until this pizzeria opened up .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i highly recommend visiting this restaurant and having dinner and drinks !',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"while i 'm not sure that this happens all the time-this is the kind of treatment that buys repeat business !\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i can not imagine better indian food in all of the city .', 'food', '1'],\n",
       " ['great for large groups and celebrations - our super happy waiter was the entertainment of the evening .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"i 've had pizza both times and the caprese salad appetizer .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"if you 're looking for a place to sit down , have a drink and conversations with friends , go to sweet-n-tart and order yourself a hong-kong styled milk and tea with tapioca pearls ( hot ) .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"it 's very spicy but not offensive .\", 'food', '0'],\n",
       " ['we went to eat at the jekyll and hyde restaurant on friday night and really enjoyed the fun atmosphere and good food .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['overall the restaurant is more expensive than our other sushi favorites , but everything was delicious .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['the porcini mushroom pasta special was tasteless , so was the seafood tagliatelle .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['they offer the same menu but have creative drinks that are loaded with alcohol and cheeky names -- but they do cost you .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " [\"and everytime i go there 's a bunch of drunk idiots making a scene out front .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['nice family owned traditional restaurant .', 'miscellaneous', '1'],\n",
       " [\"i 've eaten at pizza gruppo a few times , but more often i order delivery .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the desserts are more appealing then stuffy overpriced french restaurants .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i 'm amazed we have n't been kicked out of this place yet .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the mussaman curry that i ordered was as thin as water and aside from the poorly fried tofu that i ordered in it , they graciously provided me with one piece of poorly cooked potato .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['this is one of my favorite restaurants and it is not to be missed .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['my boyfriend ate tuna and it was cooked perfectly !', 'food', '1'],\n",
       " ['ingredients are organic which is a real plus for me .', 'food', '1'],\n",
       " ['if you like spicy food get the chicken vindaloo .', 'food', '1'],\n",
       " ['there are other vietnamese restaurants in the chinatown area and you can forget about those .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['downstairs lounge is always a good attraction', 'ambience', '1'],\n",
       " ['better than the bagel shop on the corner , but not worth going out of your way for , in my opinion .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['went for a late weekday lunch .', 'miscellaneous', '0'],\n",
       " ['super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['both the fresh mozzerella slices and the plain cheese slice are phenomenal .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['while the new restaurant still features much of the same classical furniture that made tiffin so attractive , the menu has been overhauled .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['hats off to the chef .', 'food', '1'],\n",
       " ['the kitchen however , is almost always slow .', 'service', '-1'],\n",
       " ['it is also extremely well priced .', 'price', '1'],\n",
       " ['definitely a once a year treat that i look forward to around the holidays !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['very excited to hear that short-term chef jason narone has moved on , he truly was a low point of their sterling track record .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['never fails to please .', 'miscellaneous', '1'],\n",
       " ['the big complaint : no toasting available .', 'food', '-1'],\n",
       " ['this restaurant is such a great place .', 'miscellaneous', '1'],\n",
       " ['they treat me like family , morning and night .', 'service', '1'],\n",
       " ['we visited orsay during ny restaurant week and tried their $ 35 menu .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['so my husband made up an excuse so we can leave .', 'miscellaneous', '-1'],\n",
       " ['they never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"maybe it was just an unintentional mistake but i 've experienced the same with other restaurants so i do n't appreciate such practice .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['the food was great .', 'food', '1'],\n",
       " ['regardless of whether there are two people or two hundred people ahead of you the hostess will take your name and tell you five minutes .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"when my husband and go there , we spend $ 60.00 ( have lobster tails ummmmm need i say more ) i ca n't say any more , it a place you 'll never forget if you never go , you 'll miss a meal of your life time\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the freshest , best variety , and the fastest delivery .', 'service', '1'],\n",
       " ['i do not recommend lunch specials just because it tasts the same with other regular chinese restaurant .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['while the prices are nothing special , the portions are huge .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['i had to share my table with a loud group of kids and the service was rude an unattentive .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['and , atlhough tables opened up next to us and we asked for a slightly larger space , they left us awkardly seated .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['( always ask the bartender for the seasonal beer ! ! !', 'food', '1'],\n",
       " ['service was slow had to wait to order and get food although not crowded .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['i go and eat out at many different restaurants and this is one place you have go and try .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"p.s . please do n't tell anyone in my family i eat there .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"i have walked by this place for eons and finally went thanks to a girls ' night .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['great eats , good times .', 'food', '1'],\n",
       " ['this is , by far , my favorite restaurant in nyc and i only wish it were more affordable so i could go more often !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i would highly recommend this place to anyone who is looking for a fine indian dining experience that is definitely a value for your dollar .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['highly recommended is the spicy fried clam rolls and spider rolls .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i live nearby and when they first opened , i ate there a lot .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['in fact , two people could really share one plate .', 'food', '1'],\n",
       " ['and the food was fantastic .', 'food', '1'],\n",
       " ['the owners and employees are friendly and their pizza is fantastic .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['my wife and i were in nyc celebrating our 30th anniversary .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"i 'd definitely recommend this little place .\", 'miscellaneous', '1'],\n",
       " ['yeah shanghai is also great but not quite as good -- they use the same amount of salt but without sweetness to balance out .',\n",
       "  'food',\n",
       "  '0'],\n",
       " ['for $ 600 ( the most we have ever paid ) not even waving a magic wand will ever get us back for a repeat performance .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['the food was actually aweful .', 'food', '-1'],\n",
       " ['it is definitely special and affordable .', 'price', '1'],\n",
       " ['the bread is the soft paratha bread ( unlike the plain bread they use in calcutta ) , and the stuffing is tandoori styled and very flavorful .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"while the $ 20 entree range is not overly expensive , in new york city , there is definitely better food in that range , and so sapphire , despite it 's lovely atmosphere , will most likely not be a restaurant to which i will return .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['i love the atmorphere @ peep !', 'ambience', '1'],\n",
       " ['we did have to wait at the bar for approx .', 'service', '-1'],\n",
       " [\"this place is a literal hole-in-the-wall that is buried within doyers , right off of pell st ( barber 's alley ) in chinatown .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"took my mom for mother 's day , and the maitre d ' was pretty rude .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['dahkin also offers prix fixe lunch and buffet .', 'food', '0'],\n",
       " ['this dish is my favorite and i always get it when i go there and never get tired of it .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i was really disappointed ant wanted to tell everyone not to go eat or even take out food from there .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['but $ 1 for each small piece ? ? ?', 'price', '-1'],\n",
       " [\"do n't go there !\", 'miscellaneous', '-1'],\n",
       " [\"took my mom for mother 's day , and the maitre d ' was pretty rude .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"i 've been to this restaurant more than a dozen times and when i 'm craving for pho , lemon grass chicken or beef cube on rice , this is the place to go .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i had the black cod with yuzu sauce , which was wonderful .', 'food', '1'],\n",
       " ['the service is a little scatty at times but all is forgiven when the food arrives .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"it 's a shame that a nice , convenient place like the pink pony can be so ruined by lousy service .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['unbelievable .', 'miscellaneous', '1'],\n",
       " ['it is terrific , as is the value .', 'food', '1'],\n",
       " ['two people in our party felt like something else , and volare immediately obliged with two great dishes that were not in their regular menu .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"so all i 'm trying to say is this restaurant is by far the best thai food restaurant i 've ever been to .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"my husband said the portions were very small , but if my main course was good to eat the portion would 've been fine for me .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['love the jazz bands on fri and sat .', 'ambience', '1'],\n",
       " ['lived in shanghai most of my life and thought the food was comparable to the flagship green bo restaurant there .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['they were such a rip-off ( $ 8.95 for four small meat patties in steamed buns ) and not worth trying .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " [\"been there , done that , and new york , it 's not that big a deal .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['great indian food and the service is incredible .', 'service', '1'],\n",
       " [\"going to volare is like going to your favorite aunt 's house for dinner , assuming that your aunt is a great italian cook .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"- the bread at the beginning is super tasty and makes you want more - the pizza is delicious and comes in personal sizes , however be warned that the peter 's favourite pizza with prosciutto and baby arugula is actually a margarite pizza with cold prosciutto and baby arugula on top , like a salad .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['go , go , hurry , before everyone finds out about it .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the eggplant parmesan is also great , and my friend who grew up in manhattan claims that no one serves a better baked ziti with meatsauce .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['they even scoop it out nice ( for those on a diet ) not too much not to little .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['less wait time for me !', 'service', '1'],\n",
       " [\"i 've been to at cafe spice probably 5-8 times , it is probably still the best indian restaurant around union square .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['but the coconut rice was good .', 'food', '1'],\n",
       " ['try their plain pizza with fresh garlic or eggplant .', 'food', '1'],\n",
       " ['plus , on wednesday nights the house wine is unlimited !', 'food', '1'],\n",
       " ['not what i wanted to hear .', 'miscellaneous', '-1'],\n",
       " ['never in my life did i think that i could be satisfied both in taste and in quantity for $ 3.00 in nyc .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i am a 100 lb girl , had a glass of wine and a glass of beer prior to the dinner , and i was still hungry after my visit to this place !',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['authentic shanghai style and i can not recommend a better shanghai place in new york .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the portions are huge , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"even after getting pushed out by the no-class famous ray 's , sal has risen again to carry on his father 's uncle 's legacies with a smile , true love for his community , and let 's not forget the outstanding pizza !\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['what generous portions !', 'food', '1'],\n",
       " ['okay service .', 'service', '0'],\n",
       " ['while this can hardly be called a restaurant , it is possibly the best deal in manhatten : $ 4 for a plate heaped with rice and 2-3 entrees .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['i highly recommend the restaurant based on our experience last night .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i love this place !', 'miscellaneous', '1'],\n",
       " [\"once you step into cosette , you 're miraculously in a small , off-the-beaten path parisian bistro .\",\n",
       "  'ambience',\n",
       "  '0'],\n",
       " [\"very romantic fires - i 've literally spent hours at lanterna , drinking wine from their extensive wine and enjoying the ambience .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['they charge $ 6.00 for rice .', 'price', '-1'],\n",
       " ['if your favorite chinese food is general tao chicken , then this is not your place .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['went there for an office lunch .', 'miscellaneous', '0'],\n",
       " ['i recommend ordering in on a weeknight .', 'miscellaneous', '1'],\n",
       " [\"it 's better than being on the roof of sutton place with 19 year old interns jabbing you in the ribs all night .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"raga 's is a romantic , cozy restaurant .\", 'ambience', '1'],\n",
       " [\"i went here with a friend on a whim , we went someplace else first and could n't get a table .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the photobook menu was a cute touch , certainly helped my group and i pick the fried chicken , pork chop , and noodle dishes that we all ordered .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"my friend 's food was also the complete opposite of what it 's supposed to taste like ( and look like ) .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"a restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['great wine list , reasonably priced. -- sara', 'price', '1'],\n",
       " ['visited there while on vacation and reading the reviews .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"the decor is dark , cool and soothing , while the food 's presentation is spectacular , considering the low prices .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['but , nothing stands out about the cooking .', 'food', '0'],\n",
       " ['village is one of those places that scores on all fronts .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the service was excellent , the food was excellent , but the entire experience was very cool .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['especially liked chicken tikka and the naan , and the dals .', 'food', '1'],\n",
       " ['all conveniently delivered right to the door .', 'service', '1'],\n",
       " ['this place has good potential , but needs a significant amount of work before we can justify spending that much money on indian food you can get everywhere else .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " [\"nha trang , while being notorious for utter lack of comfort and decor , horribly slow wait staff and horribly quick meals , is one of the best vietnamese restaurants i 've ever been to . the pho is delicious and comes with very fresh vegtables .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['i thanked my friend who recommended me this restaurant and will certainly recommend it to others .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['and i have been around the block , to say the very least .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['they need a kick out of it but until then the sushi is pretty good and the place is consistent .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"the bruschetta and panini 's are so yummy !\", 'food', '1'],\n",
       " ['they treated us well and the food was extremely fresh and well-prepared .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['there is a lot of variety even for people who eat vegetarian like me .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i only tried a simple dish of spinach ravioli in a light oil and garlic sauce , but it actually faired better than most nyc italian joints i 've tried similar dishes at .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['their sushi , kamikaze and other rolls are fresh and well presented .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we had crawfish boiled and despite making a mess , it was a ton of fun and quite tasty as well .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['this is the best sushi in new york city - hands down .', 'food', '1'],\n",
       " ['and the prices were way to high for what you get .', 'price', '-1'],\n",
       " ['this was on a tuesday night .', 'miscellaneous', '0'],\n",
       " ['it was so bad i actually refused to pay for my food .', 'food', '-1'],\n",
       " ['i almost hesititate to write a review because the atmosphere was so great and i would hate for it too become to crowded .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the restaurant is rather small but we were lucky to get a table quickly .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['during the course of the past 3 months , the chef and staff changed and it was not for the better .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"while it 's not nobu , it sure is a great deal and you definitely will leave feeling satisfied and full .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"in any event , this is a place i 'll be sure to stop by again when i 'm in this part of town .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the staff makes you feel at home , the food is great and the atmosphere is wonderful !',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the ambience is authentic and relaxing and we have always received attentive and prompt service .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['the food is nothing like its menu description .', 'food', '-1'],\n",
       " [\"i love the pics of andy warhol when he used to frequent the place ( he painted the ballato 's sign in the window ) .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the atmosphere is unheralded , the service impecible , and the food magnificant .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['delicious simple food in nice outdoor atmosphere .', 'food', '1'],\n",
       " ['someone else recommended the dessert - we also left that .', 'food', '-1'],\n",
       " ['we were told that the wait was about twenty minutes and there would be no problem for our 8:00 pm curtain call .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['and for this i had to shell out a small fortune ?', 'price', '-1'],\n",
       " [\"i would like to return and try some of the other menu items when i do n't have to rush off to a show .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we had the scallops as an appetizer and they were delicious and the sauce was wonderful .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['delicious food , excellent service , and a pretty atmosphere make this a great choice for dinner and the $ 5.99 lunch buffet makes it an even better choice for lunch !',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['it is by far my favorite restaurant in brooklyn .', 'miscellaneous', '1'],\n",
       " ['for the quality of food , a little too expensive .', 'price', '-1'],\n",
       " ['by dinner time , they turn it around and mount a huge comeback ! !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"lahore is a great place to duck into late-night when you need some really tasty food on the cheap -- you 'll likely have trouble finishing the amount of food you get for four dollars .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " [\"check it out , it wo n't hurt your stomach or your wallet .\", 'food', '1'],\n",
       " [\"okay , so i never write but there does n't seem to fair balance of positive to negative reviews concerning green bo and it 's time to speak up - i live in chinatown .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the flavors robust and subtle .', 'food', '1'],\n",
       " ['all the money went into the interior decoration , none of it went to the chefs .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the food is great , service is ok .', 'food', '1'],\n",
       " ['service is great , takeout is good too .', 'service', '1'],\n",
       " ['definitely not a restaurant to skip !', 'miscellaneous', '1'],\n",
       " ['whoever the jazz duo was , they were on point .', 'ambience', '1'],\n",
       " ['went there and had a combination of different seafood dishes and appetizers .',\n",
       "  'food',\n",
       "  '0'],\n",
       " [\"the staff is very kind and well trained , they 're fast , they are always prompt to jump behind the bar and fix drinks , they know details of every item in the menu and make excelent recomendations .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i have eaten at many pizza places around nyc and this is hands down the worst .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"with so many good restaurants on the uws , i do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"needless to say , i 'm never going back and you should be wary too .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['they wouldnt even let me finish my glass of wine before offering another .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['then , get ripped on free box wine .', 'food', '1'],\n",
       " ['the prices are exceptionally reasonable for food of this caliber .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['incredibly poor service an food quality at exorbitant prices .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['not a typical pizza joint , but good for a low key and fairly cheap nice sit down dinner .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['le pere pinard has a $ 15 pre-theater menu that is outstanding .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['acceptable prices .', 'price', '1'],\n",
       " ['everyone treats you like you were part of the family .', 'service', '1'],\n",
       " ['sure , the setting is nice .', 'ambience', '1'],\n",
       " ['my first time there i happened not to like the crab croquette apt that i ordered and they were happy to change it for me without making no big deal .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['we had a good time .', 'miscellaneous', '1'],\n",
       " ['came looking for this place because i heard good things .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"i came here for my friend 's birthday and keep coming back ever since .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"do n't waste money on decor .\", 'ambience', '1'],\n",
       " ['the pickles were great addition .', 'food', '1'],\n",
       " ['the zucchini and mashed potatoes are a blend of garlic and butter which simply melts in your mouth .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"we ate outside at haru 's sake bar because haru 's restaurant next door was overflowing .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['all the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the service was excellent and the food was delicious .', 'food', '1'],\n",
       " ['a cool bar with great food , and tons of excellent beer .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['awsome pizza especially the margheritta slice .', 'food', '1'],\n",
       " ['the calamari comes with an incredible sauce , and the duck noodles are yummy as well .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['too large for just two people but nothing was left .', 'food', '1'],\n",
       " [\"i 've rarely had a problem with slow staff in the 10 years i 've been going .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i will be returning .', 'miscellaneous', '1'],\n",
       " ['great wine selection , gigondas is worth the price , and the house champagne is a great value .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['our family never expected such incredible entertainment in a restaurant .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['great food ( spinach and corn dumplings and massamman curry ) , very friendly and no nonsense service and a clean and funky bathroom .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['you get what you pay for and with that logic in mind , spice is a great place to grab some cheap eats and drinks in a beautiful setting .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['the lobster sandwich is good and the spaghetti with scallops and shrimp is great .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['after being told that our party of three would be seated in 10 minutes and watching other parties ( multiples of 2 and higher ) seated for 40 minutes , the three of us were squished into a small 2-person table .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['you get what you pay for and with that logic in mind , spice is a great place to grab some cheap eats and drinks in a beautiful setting .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"and you ca n't beat the prices .\", 'price', '1'],\n",
       " ['for two people with tip was less than $ 25 bucks .', 'price', '1'],\n",
       " [\"i 've been there three times and have always had wonderful experiences .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the pizza is delicious and the proprietor is one of the nicest in nyc .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"i 've never had bad service and the fish is fresh and delicious .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the pizza is the best if you like thin crusted pizza .', 'food', '1'],\n",
       " [\"oh and it 's too tiny for families with strollers .\", 'ambience', '-1'],\n",
       " ['when my dessert came , there was a candle in it - not because anyone asked for one - but because the waiter must have seen me opening my birthday card and gift , and said he knew it was a special occassion of some sort .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i am bringing my whole family back next time .', 'miscellaneous', '1'],\n",
       " ['but for whatever reason , prices are about twice as high .', 'price', '-1'],\n",
       " ['tell them herky sent you and get a free confused look from the waiter .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['a little pricey but it really hits the spot on a sunday morning !',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['more important , the sushi rivals the best in tokyo .', 'food', '1'],\n",
       " ['i had a late dinner at lucky stike , a great name for a joint if ever i saw one .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['pastrami or corned beef are juicy and piled high ( ask for extra rye bread ) .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the menu has lots of options : i hope to go back to try those potato pancakes .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['we were worried we would have trouble getting in , but somehow managed to have a short wait .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"they were dry and disgusting , i did n't even finish my first piece .\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " [\"i 'm sure i 'll return for a final judgement tho .\", 'miscellaneous', '0'],\n",
       " ['i came here with my boyfriend for our anniversary because it was highly recommended to him by a friend .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the pastrami sandwich was like buttah and with pickles and an icy cold beer to wash it down , it was a pleasurable experience .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['chance is a joke .', 'miscellaneous', '-1'],\n",
       " ['while they keep the capex to a minimum , they do put some cash into the bagels , because they among the best in the city .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['( besides that there should be more restaurants like it around the city ) .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['our waiter was fine , the place looks nice in that not-trying-too-hard way , but at those prices , a little more should be expected of your food .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['a gentleman , maybe the manager , came to our table , and without so much as a smile or greeting asked for our order .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['arigato gozimas yuka !', 'miscellaneous', '0'],\n",
       " [\"you can certainly find restaurants that offer a superior fine dining experience , but for superb food at reasonable prices , la villa ca n't be beat .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['drinks got screwed up , she acted put upon .', 'service', '-1'],\n",
       " ['for those prices and the dressed up atmosphere you expect more and should get more .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['no gimmicks here -- the food speaks for itself in its freshness and preparation .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['not a great place for family or general dining .', 'miscellaneous', '-1'],\n",
       " ['we decided to eat in tea room which was small and cute .', 'ambience', '1'],\n",
       " ['the steak was very fatty and the sauce was overpowering and not very tasty .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['saturday , nov. 6th i had a group from work come in with about 35 people and the staff was amazing to accomodate us .',\n",
       "  'service',\n",
       "  '1'],\n",
       " [\"and when i visit her i make it a point to eat at 'ino at least once daily if not once for the whole trip .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the space is a bit too small for live music , so on jazz nights , it can be loud and cramped .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['there is also very limited seating and there can be a substantial wait in getting food at peak times .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"the ambience was nice , but service was n't so great .\", 'service', '-1'],\n",
       " ['i have taken practically every guest that has come to visit me in ny and hooked a few new yorkers onto peep as well .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['after really enjoying ourselves at the bar we sat down at a table and had dinner .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"it 's a place for people who pay a lot for mediocre food , noise and a chance to be with their fellow bridge and tunnel folks .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"i 'd highly recommend it for a special occasion -- it provides and intimate setting and nice service .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['a cool bar with great food , and tons of excellent beer .', 'food', '1'],\n",
       " ['we started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the all-italian staff is warm and engaging from the start .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['wonderful !', 'miscellaneous', '1'],\n",
       " ['not enough wines by the glass either .', 'food', '-1'],\n",
       " ['perfect for dates !', 'ambience', '1'],\n",
       " ['too cold to enjoy .', 'ambience', '-1'],\n",
       " ['decor leaves something to be desired .', 'ambience', '-1'],\n",
       " ['the chicken pot pie is excpetiona , the cheeseburger huge and delictable , and the service professional wan warm .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i would recommend reservations on weekends though .', 'miscellaneous', '0'],\n",
       " [\"murray wo n't do it .\", 'service', '-1'],\n",
       " ['the menu consisted of standard brassiere food , better then places like balthazar etc .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i ate here a week ago and found most dishes average at best and too expensive .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['for sure i will keep coming back because i feel really this restaurant deserves .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"do n't look down your nose at me like that ...\", 'miscellaneous', '-1'],\n",
       " ['the ambience is authentic and relaxing and we have always received attentive and prompt service .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['ok , for all of us growing up in the village of nyc , we have spoiled by a plethora of restaurants , most of which stay open very late .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"i do n't like indian food too much and this was delicious , however you want to factor that into the equation .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"to be completely fair , the only redeeming factor was the food , which was above average , but could n't make up for all the other deficiencies of teodora .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['sexy .', 'miscellaneous', '1'],\n",
       " ['the service , wine selection , ambiance are all outstanding and deserve recognition .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['looking around , i saw a room full of new yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['horrible .', 'miscellaneous', '-1'],\n",
       " ['bottles of wine are cheap and good .', 'price', '1'],\n",
       " ['i live in the neighborhood and my friends meet me down here not only for the bar scene but also the promise of the pizza place at 3am .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the service is excellent , the decor is great , and the food is delicious and comes in large portions .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['although the tables may be closely situated , the candle-light , food-quality and service overcompensate .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['great spot , whether looking for a couple of drinks or quiet dinner .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"it 's a much more grown up restaurant compared to the rest of the street .\",\n",
       "  'ambience',\n",
       "  '0'],\n",
       " ['southern indian cuisine is still there , too .', 'food', '0'],\n",
       " ['i keep my fingers crossed the whole subway ride hoping that there will be a table i can sit at by myself and not have to share with the rice congee soup people .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['my boyfriend and i were in ny for a few days and pastis was a place that came recommended .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['their calzones are horrific , bad , vomit-inducing , yuck .', 'food', '-1'],\n",
       " ['big and gawky on the outside .', 'ambience', '-1'],\n",
       " ['while the place is not a hotspot hangout , the drinks are unique and pack a lot of bang for the buck .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['our food was great too !', 'food', '1'],\n",
       " ['the sandwhiches are out-of-this world !', 'food', '1'],\n",
       " ['everyone i bring here always loves it .', 'miscellaneous', '1'],\n",
       " ['it is the type of place to run into old friends and have a late , raucus dinner .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"that said , i thought scalini fedeli was one of the best dining experiences i 've ever had .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['not pretentious and very economical .', 'ambience', '1'],\n",
       " [\"you 'll pay at least double at any other italian restaurant in the city , and most still do n't compare .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " ['after being told that our party of three would be seated in 10 minutes and watching other parties ( multiples of 2 and higher ) seated for 40 minutes , the three of us were squished into a small 2-person table .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the crust is thin , the ingredients are fresh and the staff is friendly .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the food is wonderful , tasty and filling , and the service is professional and friendly .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['anyhow , we were able to sit as long as we wanted and chat , which was nice .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['they are served with a free appetizer and the portions are perfect for lunch .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i have known about this secret for the last 13 years , emilio ( the godfather ) has continued to serve food and wine for the gods at mortal prices .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['20 minutes for our reservation but it gave us time to have a few cocktails and enjoy our surroundings and each other .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the fries are yummy .', 'food', '1'],\n",
       " ['the service is good and ambience is good for a date or group outing .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"last time i went here , the waitress did n't come back after taking our order .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['i brought some buddies from ca and they loved it .', 'miscellaneous', '1'],\n",
       " ['the two star chefs left quite some time ago to open their own place .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the sushi is average and the prices are anything but .', 'price', '-1'],\n",
       " ['yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['excellent atmosphere , delicious dishes good and friendly service .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['when you want a piece of beef , head on over .', 'food', '1'],\n",
       " [\"this was a repeat visit and we 'll definitely be back again .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"we live in new jersey and whenever we go into new york city we buy bagels to eat hot and then to freeze ( they told me that if i call in the order , they 'd bring it out to the car so i would n't have to look for parking ) .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['decent wine at reasonable prices .', 'food', '1'],\n",
       " ['their pad penang is delicious and everything else is fantastic .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['cozy romantic atomosphere with only around 15 tables at most .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the staff was very attentive , the ambience lovely , and the food superb .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['fast service .', 'service', '1'],\n",
       " ['my friends and i came across this place while walking in the village .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the red curry is weak and tasteless , the pad thai is stuck together and lumpy , the rice is often overcooked , and the seafood is pretty sketchy .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the large selection of bruschettas , paninis , tramezzinis keep the palate from stagnating .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['when we walked in it seemed like it was there for 200 years .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['the owner and staff are all japanese as well and that adds to the entire ambiance .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['this place has good potential , but needs a significant amount of work before we can justify spending that much money on indian food you can get everywhere else .',\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " ['the food was very expensive ( we spent $ 160 for lunch for two ) but extremely tasty .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['the lava cake dessert was incredible and i recommend it .', 'food', '1'],\n",
       " [\"i went to del frisco 's friday night with my boyfriend for an 8:00 reservation .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['vt is what baby pizzas hope to be when they grow up .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"if you 're looking for a great meal at a decent price , go to del frisco 's !\",\n",
       "  'price',\n",
       "  '1'],\n",
       " [\"any if you have a reservation you 'll wait for max 5 minutes - so have a drink at the bar .\",\n",
       "  'service',\n",
       "  '1'],\n",
       " ['if you want some roast duck , pork or chicken on rice with ginger , try them out !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['everything about this restaurant was special .', 'miscellaneous', '1'],\n",
       " [\"it 's simply the best meal in nyc .\", 'miscellaneous', '1'],\n",
       " ['it was like the servers forgot that they actually worked there and instead wanted to hang out and be cool .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"do n't go alone -- -even two people is n't enough for the whole experience , with pickles and a selection of meats and seafoods .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i read the other review and have to say i had the opposite experience here last sunday .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"while the $ 20 entree range is not overly expensive , in new york city , there is definitely better food in that range , and so sapphire , despite it 's lovely atmosphere , will most likely not be a restaurant to which i will return .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"you ca n't go wrong with this place .\", 'miscellaneous', '1'],\n",
       " ['a thai restaurant out of rice during dinner ?', 'miscellaneous', '-1'],\n",
       " [\"this is the first time citysearch did't call it right .\",\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['bring your appetites .', 'miscellaneous', '0'],\n",
       " ['great atmoshere and worth every bit .', 'ambience', '1'],\n",
       " ['it is very overpriced and not very tasty .', 'price', '-1'],\n",
       " ['they have it all -- great price , food , and service .', 'price', '1'],\n",
       " ['the place is sleek , modern and playfull and i will return again frequently .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['lucky strike is a great casual place to just grab a bite to eat .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['when i saw that their website had a link to da ciro in napoli , i knew there was going to be good pizza !',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the service is fine and they allow you to enjoy the view .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " [\"the pizza was delivered cold and the cheese was n't even fully melted !\",\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['look foward to trying the ruben upon returning .', 'miscellaneous', '1'],\n",
       " ['a very inviting restaurant , with friendly service .', 'service', '1'],\n",
       " ['on a recent sunday afternoon , a friend and i accidently found this great restaurant on our way to see the pulitzer prize winning play doubt .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i have been to spice three times- twice during lunch and once at dinner .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"only complaint would be that at an average cost of $ 12- $ 15 per meal , i 'd like not to have to worry about finding a seat !\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['the in-house lady dj on saturday nights has outrageously good taste in music , and moreover , takes requests .',\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['when i arrived at orsay i was thrown back , in a veyr good sense .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"the owner is very friendly and a great guy , go try his pizza , you 'll like it !\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['while this can hardly be called a restaurant , it is possibly the best deal in manhatten : $ 4 for a plate heaped with rice and 2-3 entrees .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['the yellowtail was particularly good as well .', 'food', '1'],\n",
       " ['and evaluated on those terms pastis is simply wonderful .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['i recently tried suan and i thought that it was great .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['the dinner menu is diverse and top-notch as well .', 'food', '1'],\n",
       " ['pricey , but worth a try , at least once .', 'miscellaneous', '1'],\n",
       " ['to me it exemplifies soho , cute , artsy , interesting .', 'ambience', '1'],\n",
       " ['i would highly recommend this place to anyone looking for a casual atmosphere that whisks you away to the left bank of the river seine .',\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " [\"thanks bloom 's for a lovely trip .\", 'miscellaneous', '1'],\n",
       " ['the prices were cheap compared to the quality of service and food .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['but when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['this place is the most japanese it can ever get .', 'ambience', '1'],\n",
       " ['keep up the good work .', 'miscellaneous', '1'],\n",
       " ['service is great , takeout is good too .', 'food', '1'],\n",
       " ['his wife tanya , the hostess , completes the comforting atmosphere by being delightfully warm and gracious .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i was there on sat .', 'miscellaneous', '0'],\n",
       " ['i went there in late afternoon for some bite size food and refleshment with my date .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['( la rosa is connected by a swinging door to the mexican restaurant pacifico ) .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['service and food is what any one would expect when spending that type of money .',\n",
       "  'service',\n",
       "  '0'],\n",
       " ['they were very abrupt with me when i called and actually claimed the food was late because they were out of rice .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['stuffing yourself with japanese food is a rare thing .', 'food', '0'],\n",
       " [\"you can certainly find restaurants that offer a superior fine dining experience , but for superb food at reasonable prices , la villa ca n't be beat .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['winnie and her staff are the best crew you can find serving you .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['i really recommend the very simple unda ( egg ) rolls .', 'food', '1'],\n",
       " ['simple comfort food and what hot and lage portions .', 'food', '1'],\n",
       " ['the tables are crammed way too close , the menu is typical of any italian restaurant , and the wine list is simply overpriced .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['an excellent alternative to fast food joints and ordering in but , the food was slightly disappointing .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the exotic food is beautifully presented and is a delight in delicious combinations .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i live on the street this place is on .', 'miscellaneous', '0'],\n",
       " ['good music , great food , speedy service affordable prices .',\n",
       "  'price',\n",
       "  '1'],\n",
       " ['killer sushi !', 'food', '1'],\n",
       " [\"i do n't know who they think they are but they have no respect for the residents of the neighborhood ever since they opened their cabaret next door and blasts loud music till three in the morning every weekend during the summer .\",\n",
       "  'miscellaneous',\n",
       "  '-1'],\n",
       " [\"like others have said , do n't expect the restaurant to make a nite out romantic for you and yes , a busy restaurant may require you to wait .\",\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " [\"one would think we 'd get an apology or complimentary drinks - instead , we got a snobby waiter would n't even take our order for 15 minutes and gave us lip when we asked him to do so .\",\n",
       "  'service',\n",
       "  '-1'],\n",
       " [\"i did n't take a look at the rest menu , but the oysters were fantastic .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['however , looking at the table next to ours , we both sort of wished we had ordered pizza , which looked perrrrrrrrrfect .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['it was not above ordinary and the beef version had cheap ( undercooked ) beef .',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['the pizza is yummy and i like the atmoshpere .', 'food', '1'],\n",
       " [\"where tanks in other chinatown restaurants display a lurking myriad of sad-looking marine life in their murky waters , the tanks at ping 's are clear as glass with healthy-looking creatures who do not yet know that they will be part of some dim sum lover 's brunch .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['they sell special sushi , everything have a topping , sauce and etc .',\n",
       "  'food',\n",
       "  '1'],\n",
       " [\"i have had so many dinners here and it 's always been perfect - on a date with my husband , with my mom , with girlfriends and larger groups .\",\n",
       "  'miscellaneous',\n",
       "  '1'],\n",
       " ['service was also horrible and the ambience is not that great .',\n",
       "  'ambience',\n",
       "  '-1'],\n",
       " ['decor is charming .', 'ambience', '1'],\n",
       " ['i will go back to suan soon !', 'miscellaneous', '1'],\n",
       " ['check it out .', 'miscellaneous', '1'],\n",
       " ['my personal favorite is an everything bagel with lox spread , but all the bagles are unbeliavably good .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['try the cheesecake !', 'food', '1'],\n",
       " [\"the food is good , i ca n't lie .\", 'food', '1'],\n",
       " [\"it 's a steal !\", 'price', '1'],\n",
       " ['i highly recommend caviar russe to anyone who wants delicious top grade caviar and fantastic service .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['both times we waited well over a half hour for a table ( even though we had reservations ) .',\n",
       "  'service',\n",
       "  '-1'],\n",
       " ['even the pasta is delicious here ( a rarity in new york pizza restaurants ) .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['i really liked this place .', 'miscellaneous', '1'],\n",
       " [\"service is friendly , prices are good - delivery time was a little slow , but for the way this pizza tastes , i 'm willing to overlook it .\",\n",
       "  'price',\n",
       "  '1'],\n",
       " [\"i could n't reccommend their godmother pizza any higher .\", 'food', '1'],\n",
       " [\"baluchi 's has solid food and a nice decor at reasonable prices .\",\n",
       "  'ambience',\n",
       "  '1'],\n",
       " ['the quality of food at this restaurant accompanied by fantastic live jazz makes this place a perfect 10 !',\n",
       "  'food',\n",
       "  '1'],\n",
       " ['late nite omelletes are not good here , there is no variety !',\n",
       "  'food',\n",
       "  '-1'],\n",
       " ['great food , great lay out and awesome service .', 'food', '1'],\n",
       " ['the staff was accomodating , the food was absolutely delicious and the place is lovely .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['restaurant snobs need not bother , this is a small , neighborhood kind of place .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " [\"when he 's not making authentic neapolitan pizza in the open brick oven or lightly frying zucchini blossoms , he 's visiting the regulars ( a growing legion ) and checking on newcomers .\",\n",
       "  'food',\n",
       "  '1'],\n",
       " ['the place is a bistro which means : simple dishes and wine served efficiently in a bustling atmosphere .',\n",
       "  'service',\n",
       "  '1'],\n",
       " ['if you love seafood , you would love this place !', 'food', '1'],\n",
       " ['they were served warm and had a soft fluffy interior .', 'food', '1'],\n",
       " ['my family and i ate here last night for our annual christmas dinner with the family members who would rather spend the holidays with friends out-of-town .',\n",
       "  'miscellaneous',\n",
       "  '0'],\n",
       " ['i am relatively new to the area and tried pick a bgel on 2nd and was disappointed with the service and i thought the food was overated and on the pricey side .',\n",
       "  'price',\n",
       "  '-1'],\n",
       " ['kosher dills are the perfect compliment for your unforgetable sandwich and they give you plenty of them .',\n",
       "  'food',\n",
       "  '1'],\n",
       " ...]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataf = pd.DataFrame(data, index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataf.to_csv('test_data.csv', index=False, header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>and cheap !</td>\n",
       "      <td>price</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>the staff is n't the friendliest or most compe...</td>\n",
       "      <td>service</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>the service is always bad though , do n't expe...</td>\n",
       "      <td>service</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i absolutely love this place ! ! !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a restaurant that does n't try to do anything ...</td>\n",
       "      <td>ambience</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>this place was not all that !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>the food is great .</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>highly recommended ! ! ! ! !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>the food was really good , i had the onion sou...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>a++ the service was good to excellent along wi...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>we had a 3 hour brunch- they definitely do not...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>i 've been eating at taj mahal for over twenty...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>anyway , the food is good , the price is right...</td>\n",
       "      <td>price</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>each table has a pot of boiling water sunken i...</td>\n",
       "      <td>food</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>the soup for the udon was soy sauce and water .</td>\n",
       "      <td>food</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>we went to this restaurant based on prior inte...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>the corned beef and pastrami are excellent , m...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>tuk tuk is one of the rare choices for me to g...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>the location and ambience is ok but the food i...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>your money could easily be better spent elsewh...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>after dinner , take your date to the huge danc...</td>\n",
       "      <td>ambience</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>my wife and i will usually only order one prim...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>the food was pretty tradional but it was hot a...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>$ 160 for 2 filets , 2 sides , an appetizer an...</td>\n",
       "      <td>food</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>the only positive was the wait staff , which w...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>top spot in town for vietnamese classics , bet...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>and they provided a delicious dessert on the h...</td>\n",
       "      <td>price</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>they were such a rip-off ( $ 8.95 for four sma...</td>\n",
       "      <td>food</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>really .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>this restaurant used to be pretty decent .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2960</th>\n",
       "      <td>for the price , you can not eat this well in m...</td>\n",
       "      <td>price</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2961</th>\n",
       "      <td>amma is nothing special .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2962</th>\n",
       "      <td>this place is worth going even if only for the...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2963</th>\n",
       "      <td>the steak is good , the fish is good and the s...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2964</th>\n",
       "      <td>highly highly highly recommended !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2965</th>\n",
       "      <td>this is the best thing in soho .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2966</th>\n",
       "      <td>you can certainly find restaurants that offer ...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2967</th>\n",
       "      <td>it is the best hidden spot there and i rave ab...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2968</th>\n",
       "      <td>... and that 's saying a lot .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>if you venture off the island of manhattan and...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2970</th>\n",
       "      <td>the service was fast and friendly and the food...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2971</th>\n",
       "      <td>the pizza here is delicious .</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2972</th>\n",
       "      <td>deliveries often take up to an hour and the pr...</td>\n",
       "      <td>service</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2973</th>\n",
       "      <td>go girls ! ! !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2974</th>\n",
       "      <td>the crust is thin , the ingredients are fresh ...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975</th>\n",
       "      <td>this little place has a cute interior decor an...</td>\n",
       "      <td>price</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2976</th>\n",
       "      <td>now it 's so crowded and loud you ca n't even ...</td>\n",
       "      <td>ambience</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2977</th>\n",
       "      <td>mizu is the japenese find in grammercy .</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2978</th>\n",
       "      <td>they 're also friendlier here , especially the...</td>\n",
       "      <td>service</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>try the pad thai , it 's fabulous and their pr...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2980</th>\n",
       "      <td>unfortunately , the food is outstanding , but ...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>during happy hour !</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>i also recommend the rice dishes or the differ...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2983</th>\n",
       "      <td>and at the conclusion of this culinary nightma...</td>\n",
       "      <td>service</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2984</th>\n",
       "      <td>as a long-time patron of mamoun 's , i always ...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985</th>\n",
       "      <td>i 've been back to nha trang literally a hundr...</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2986</th>\n",
       "      <td>the food is reliable and the price is moderate .</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2987</th>\n",
       "      <td>the menu is nothing like the one on the website .</td>\n",
       "      <td>food</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2988</th>\n",
       "      <td>i would recommend roxy 's for that , but not f...</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2989</th>\n",
       "      <td>this is an amazing place to try some roti rolls .</td>\n",
       "      <td>food</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2990 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      0              1   2\n",
       "0                                           and cheap !          price   1\n",
       "1     the staff is n't the friendliest or most compe...        service  -1\n",
       "2     the service is always bad though , do n't expe...        service  -1\n",
       "3                    i absolutely love this place ! ! !  miscellaneous   1\n",
       "4     a restaurant that does n't try to do anything ...       ambience   1\n",
       "5                         this place was not all that !  miscellaneous  -1\n",
       "6                                   the food is great .           food   1\n",
       "7                          highly recommended ! ! ! ! !  miscellaneous   1\n",
       "8     the food was really good , i had the onion sou...           food   1\n",
       "9     a++ the service was good to excellent along wi...        service   1\n",
       "10    we had a 3 hour brunch- they definitely do not...        service   1\n",
       "11    i 've been eating at taj mahal for over twenty...  miscellaneous   1\n",
       "12    anyway , the food is good , the price is right...          price   1\n",
       "13    each table has a pot of boiling water sunken i...           food   0\n",
       "14      the soup for the udon was soy sauce and water .           food  -1\n",
       "15    we went to this restaurant based on prior inte...  miscellaneous   0\n",
       "16    the corned beef and pastrami are excellent , m...           food   1\n",
       "17    tuk tuk is one of the rare choices for me to g...  miscellaneous   1\n",
       "18    the location and ambience is ok but the food i...           food   1\n",
       "19    your money could easily be better spent elsewh...  miscellaneous  -1\n",
       "20    after dinner , take your date to the huge danc...       ambience   1\n",
       "21    my wife and i will usually only order one prim...  miscellaneous   1\n",
       "22    the food was pretty tradional but it was hot a...           food   1\n",
       "23    $ 160 for 2 filets , 2 sides , an appetizer an...           food   0\n",
       "24    the only positive was the wait staff , which w...        service   1\n",
       "25    top spot in town for vietnamese classics , bet...           food   1\n",
       "26    and they provided a delicious dessert on the h...          price   1\n",
       "27    they were such a rip-off ( $ 8.95 for four sma...           food  -1\n",
       "28                                             really .  miscellaneous   0\n",
       "29           this restaurant used to be pretty decent .  miscellaneous  -1\n",
       "...                                                 ...            ...  ..\n",
       "2960  for the price , you can not eat this well in m...          price   1\n",
       "2961                          amma is nothing special .  miscellaneous  -1\n",
       "2962  this place is worth going even if only for the...           food   1\n",
       "2963  the steak is good , the fish is good and the s...           food   1\n",
       "2964                 highly highly highly recommended !  miscellaneous   1\n",
       "2965                   this is the best thing in soho .  miscellaneous   1\n",
       "2966  you can certainly find restaurants that offer ...  miscellaneous   1\n",
       "2967  it is the best hidden spot there and i rave ab...  miscellaneous   1\n",
       "2968                     ... and that 's saying a lot .  miscellaneous   0\n",
       "2969  if you venture off the island of manhattan and...  miscellaneous   0\n",
       "2970  the service was fast and friendly and the food...        service   1\n",
       "2971                      the pizza here is delicious .           food   1\n",
       "2972  deliveries often take up to an hour and the pr...        service  -1\n",
       "2973                                     go girls ! ! !  miscellaneous   1\n",
       "2974  the crust is thin , the ingredients are fresh ...        service   1\n",
       "2975  this little place has a cute interior decor an...          price   1\n",
       "2976  now it 's so crowded and loud you ca n't even ...       ambience  -1\n",
       "2977           mizu is the japenese find in grammercy .  miscellaneous   1\n",
       "2978  they 're also friendlier here , especially the...        service   1\n",
       "2979  try the pad thai , it 's fabulous and their pr...           food   1\n",
       "2980  unfortunately , the food is outstanding , but ...           food   1\n",
       "2981                                during happy hour !  miscellaneous   0\n",
       "2982  i also recommend the rice dishes or the differ...           food   1\n",
       "2983  and at the conclusion of this culinary nightma...        service  -1\n",
       "2984  as a long-time patron of mamoun 's , i always ...  miscellaneous   1\n",
       "2985  i 've been back to nha trang literally a hundr...           food   1\n",
       "2986   the food is reliable and the price is moderate .           food   1\n",
       "2987  the menu is nothing like the one on the website .           food  -1\n",
       "2988  i would recommend roxy 's for that , but not f...  miscellaneous   1\n",
       "2989  this is an amazing place to try some roti rolls .           food   1\n",
       "\n",
       "[2990 rows x 3 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 用torchtext加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchtext import data\n",
    "from torchtext import datasets\n",
    "import torch\n",
    "\n",
    "REVIEW = data.Field(tokenize='spacy', include_lengths=True)\n",
    "ASPECT = data.Field()\n",
    "POLARITY = data.LabelField(dtype = torch.float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "fields = [('review', REVIEW), ('aspect', ASPECT), ('polarity', POLARITY)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data, valid_data, test_data = data.TabularDataset.splits(\n",
    "                                        path = '.',\n",
    "                                        train = 'train_data.csv',\n",
    "                                        validation = 'valid_data.csv',\n",
    "                                        test = 'test_data.csv',\n",
    "                                        format = 'csv',\n",
    "                                        fields = fields,\n",
    "                                        skip_header = False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'review': ['the', 'service', 'is', 'always', 'bad', 'though', ',', 'do', \"n't\", 'expect', 'much', 'of', 'anything', 'from', 'your', 'server', ',', 'and', 'i', 'would', 'not', 'recommend', 'bringing', 'a', 'date', 'here', 'either', '.'], 'aspect': ['service'], 'polarity': '-1'}\n",
      "Number of training examples: 2990\n"
     ]
    }
   ],
   "source": [
    "print(vars(train_data.examples[2]))\n",
    "print(f'Number of training examples: {len(train_data)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "REVIEW.build_vocab(train_data, \n",
    "                   max_size=10000,\n",
    "                  vectors='glove.6B.300d')\n",
    "ASPECT.build_vocab(train_data)\n",
    "POLARITY.build_vocab(train_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique tokens in REVIEW vocabulary: 4084\n",
      "Unique tokens in ASPECT vocabulary: 7\n"
     ]
    }
   ],
   "source": [
    "print(f\"Unique tokens in REVIEW vocabulary: {len(REVIEW.vocab)}\")\n",
    "print(f\"Unique tokens in ASPECT vocabulary: {len(ASPECT.vocab)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('the', 2655), ('.', 2651), (',', 1865), ('and', 1727), ('a', 1117), ('is', 930), ('to', 883), ('i', 869), ('was', 643), ('of', 622)]\n"
     ]
    }
   ],
   "source": [
    "print(REVIEW.vocab.freqs.most_common(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<function _default_unk_index at 0x11c87e840>, {'<unk>': 0, '<pad>': 1, 'the': 2, '.': 3, ',': 4, 'and': 5, 'a': 6, 'is': 7, 'to': 8, 'i': 9, 'was': 10, 'of': 11, 'for': 12, 'food': 13, 'it': 14, 'in': 15, 'you': 16, 'we': 17, 'this': 18, 'service': 19, '!': 20, 'with': 21, 'great': 22, 'that': 23, 'place': 24, 'but': 25, '-': 26, 'have': 27, \"'s\": 28, 'good': 29, 'not': 30, 'are': 31, 'at': 32, \"n't\": 33, 'they': 34, 'on': 35, 'my': 36, 'were': 37, 'restaurant': 38, 'be': 39, 'very': 40, 'had': 41, '(': 42, ')': 43, 'so': 44, 'go': 45, 'there': 46, \"'\": 47, 'if': 48, 'as': 49, 'been': 50, 'do': 51, 'all': 52, 'an': 53, 'like': 54, 'here': 55, 'out': 56, 'one': 57, 'from': 58, 'our': 59, 'best': 60, 'would': 61, 'their': 62, 'get': 63, '$': 64, 'your': 65, 've': 66, 'excellent': 67, 'has': 68, 'prices': 69, 'delicious': 70, 'will': 71, 'or': 72, 'by': 73, 'back': 74, 'wine': 75, 'can': 76, 'more': 77, 'atmosphere': 78, 'even': 79, 'menu': 80, 'than': 81, 'time': 82, 'when': 83, 'always': 84, 'nice': 85, 'price': 86, 'staff': 87, 'about': 88, 'just': 89, 'pizza': 90, 'too': 91, 'well': 92, 'no': 93, 'what': 94, 'better': 95, 'try': 96, 'which': 97, 'dinner': 98, 'friendly': 99, 'never': 100, 'really': 101, 'only': 102, 'us': 103, 'me': 104, 'recommend': 105, 'up': 106, 'people': 107, 'table': 108, 'while': 109, 'sushi': 110, 'times': 111, 'some': 112, 'night': 113, 'could': 114, 'experience': 115, 'restaurants': 116, 'went': 117, 'eat': 118, 'other': 119, 'most': 120, 'new': 121, 'wait': 122, 'who': 123, 'fresh': 124, 'little': 125, 'also': 126, 'meal': 127, 'thai': 128, 'over': 129, 'decor': 130, 'drinks': 131, 'ever': 132, 'after': 133, 'because': 134, 'lunch': 135, 'quality': 136, 'small': 137, 'city': 138, 'everything': 139, 'love': 140, 'though': 141, 'wonderful': 142, 'again': 143, 'dishes': 144, 'friends': 145, 'indian': 146, 'tasty': 147, 'ca': 148, 'highly': 149, 'its': 150, 'special': 151, 'attentive': 152, 'come': 153, 'worth': 154, 'bar': 155, 'he': 156, 'ordered': 157, 'chicken': 158, 'did': 159, 'first': 160, 'fish': 161, 'order': 162, 'ambience': 163, 'nyc': 164, \"'re\": 165, 'area': 166, 'got': 167, 'looking': 168, 'lot': 169, 'made': 170, 'make': 171, 'many': 172, 'want': 173, 'authentic': 174, 'definitely': 175, 'going': 176, 'places': 177, 'say': 178, 'them': 179, 'amazing': 180, 'last': 181, '2': 182, 'am': 183, 'seated': 184, 'two': 185, 'way': 186, 'bit': 187, 'large': 188, 'much': 189, 'reasonable': 190, 'still': 191, 'any': 192, 'dish': 193, 'hot': 194, 'how': 195, 'portions': 196, '--': 197, 'being': 198, 'find': 199, 'know': 200, 'overall': 201, 'rice': 202, \"'ll\": 203, 'ambiance': 204, 'both': 205, 'cheap': 206, 'every': 207, 'neighborhood': 208, 'perfect': 209, 'pretty': 210, 'romantic': 211, 'york': 212, 'expensive': 213, 'friend': 214, 'however': 215, 'list': 216, 'off': 217, 'quite': 218, 'spot': 219, 'taste': 220, 'visit': 221, 'actually': 222, 'average': 223, 'bad': 224, 'came': 225, 'his': 226, 'm': 227, 'makes': 228, 'nothing': 229, 'sauce': 230, 'waiter': 231, 'around': 232, 'away': 233, 'before': 234, 'down': 235, 'favorite': 236, 'live': 237, 'next': 238, 'take': 239, 'years': 240, 'cheese': 241, 'fantastic': 242, 'italian': 243, 'ny': 244, 'spicy': 245, 'such': 246, 'then': 247, 'three': 248, 'where': 249, \"'d\": 250, 'date': 251, 'money': 252, 'once': 253, 'priced': 254, 'tried': 255, ':': 256, 'dessert': 257, 'dining': 258, 'into': 259, 'minutes': 260, 'must': 261, 'those': 262, 'without': 263, 'yet': 264, '...': 265, '?': 266, 'cool': 267, 'disappointed': 268, 'enjoyed': 269, 'fast': 270, 'feel': 271, 'found': 272, 'fun': 273, 'left': 274, 'often': 275, 'selection': 276, 'served': 277, 'side': 278, 'think': 279, 'deal': 280, 'felt': 281, 'fine': 282, 'glass': 283, 'group': 284, 'reservation': 285, 'should': 286, 'specials': 287, 'street': 288, 'sure': 289, 'usually': 290, 'cuisine': 291, 'different': 292, 'full': 293, 'give': 294, 'huge': 295, 'late': 296, 'need': 297, 'regular': 298, 'return': 299, 'thought': 300, 'took': 301, 'week': 302, '3': 303, 'appetizer': 304, 'check': 305, 'decent': 306, 'eating': 307, 'enough': 308, 'family': 309, 'french': 310, 'husband': 311, 'least': 312, 'less': 313, 'overpriced': 314, 'pay': 315, 'right': 316, 'roll': 317, 'rolls': 318, 'since': 319, 'town': 320, 'value': 321, 'ate': 322, 'big': 323, 'eaten': 324, 'fried': 325, 'high': 326, 'keep': 327, 'look': 328, 'prepared': 329, 'sake': 330, 'same': 331, 'thing': 332, 'top': 333, 'tuna': 334, 'world': 335, 'affordable': 336, 'anything': 337, 'bagels': 338, 'beef': 339, 'chef': 340, 'crowded': 341, 'delivery': 342, 'dim': 343, 'does': 344, 'dumplings': 345, 'enjoy': 346, 'hour': 347, 'may': 348, 'now': 349, 'outside': 350, 'outstanding': 351, 'pricey': 352, 'recommended': 353, 'reviews': 354, 'room': 355, 'salad': 356, 'see': 357, 'sum': 358, 'terrific': 359, 'waitress': 360, 'warm': 361, 'chinese': 362, 'east': 363, 'else': 364, 'evening': 365, 'few': 366, 'leave': 367, 'ok': 368, 'plate': 369, 'sit': 370, 'tables': 371, 'village': 372, 'waiters': 373, 'wo': 374, 'work': 375, 'another': 376, 'bagel': 377, 'beat': 378, 'bread': 379, 'course': 380, 'during': 381, 'far': 382, 'half': 383, 'house': 384, 'ingredients': 385, 'music': 386, 'rude': 387, 'trying': 388, '10': 389, 'anyone': 390, 'ask': 391, 'asked': 392, 'beautiful': 393, 'bill': 394, 'bistro': 395, 'cooked': 396, 'each': 397, 'extremely': 398, 'having': 399, 'home': 400, 'horrible': 401, 'japanese': 402, 'life': 403, 'loud': 404, 'pasta': 405, 'quick': 406, 'real': 407, 'saturday': 408, 'slow': 409, 'spectacular': 410, 'steak': 411, 'super': 412, '15': 413, '20': 414, '6': 415, 'birthday': 416, 'bring': 417, 'cold': 418, 'coming': 419, 'cozy': 420, 'curry': 421, 'door': 422, 'especially': 423, 'everyone': 424, 'expect': 425, 'finally': 426, 'happy': 427, 'her': 428, 'impressed': 429, 'jazz': 430, 'location': 431, 'manager': 432, 'noodles': 433, 'owner': 434, 'pm': 435, 'poor': 436, 'rather': 437, 'seems': 438, 'shrimp': 439, 'soup': 440, 'st': 441, 'sweet': 442, 'wrong': 443, 'above': 444, 'arrived': 445, 'beer': 446, 'casual': 447, 'chinatown': 448, 'choice': 449, 'comes': 450, 'cost': 451, 'couple': 452, 'day': 453, 'despite': 454, 'drink': 455, 'entree': 456, 'fact': 457, 'getting': 458, 'mediocre': 459, 'pleasant': 460, 'prompt': 461, 'reasonably': 462, 'review': 463, 'she': 464, 'simple': 465, 'understand': 466, 'water': 467, 'whole': 468, 'wife': 469, '5': 470, 'absolutely': 471, 'across': 472, 'awesome': 473, 'block': 474, 'certainly': 475, 'considering': 476, 'cute': 477, 'entire': 478, 'extensive': 479, 'fabulous': 480, 'fare': 481, 'green': 482, 'incredible': 483, 'inexpensive': 484, 'lobster': 485, 'loved': 486, 'lovely': 487, 'manhattan': 488, 'mind': 489, 'part': 490, 'party': 491, 'probably': 492, 'seafood': 493, 'simply': 494, 'sitting': 495, 'tiny': 496, 'twice': 497, 'used': 498, 'view': 499, 'why': 500, 'worst': 501, '4': 502, '8': 503, 'accomodating': 504, 'almost': 505, 'although': 506, 'amount': 507, 'appetizers': 508, 'bartender': 509, 'bottle': 510, 'choices': 511, 'customer': 512, 'empty': 513, 'feeling': 514, 'flavor': 515, 'four': 516, 'kind': 517, 'lamb': 518, 'making': 519, 'nt': 520, 'old': 521, 'packed': 522, 'pad': 523, 'past': 524, 'point': 525, 'range': 526, 'relaxed': 527, 'reservations': 528, 'rest': 529, 'salmon': 530, 'sandwich': 531, 'seating': 532, 'setting': 533, 'several': 534, 'size': 535, 'something': 536, 'space': 537, 'spent': 538, 'spice': 539, 'surprise': 540, 'truly': 541, 'unique': 542, 'until': 543, 'upon': 544, 'walk': 545, 'wines': 546, 'yourself': 547, 'yummy': 548, '100': 549, 'ago': 550, 'business': 551, 'cafe': 552, 'call': 553, 'chance': 554, 'chocolate': 555, 'close': 556, 'completely': 557, 'consistently': 558, 'crab': 559, 'dark': 560, 'fixe': 561, 'foods': 562, 'gem': 563, 'helpful': 564, 'hungry': 565, 'incredibly': 566, 'la': 567, 'line': 568, 'lived': 569, 'looks': 570, 'offer': 571, 'open': 572, 'person': 573, 'please': 574, 'portion': 575, 'pre': 576, 'problem': 577, 'said': 578, 'saw': 579, 'seat': 580, 'second': 581, 'sichuan': 582, 'slightly': 583, 'someone': 584, 'spend': 585, 'style': 586, 'tastes': 587, 'terrible': 588, 'told': 589, 'trip': 590, 'typical': 591, 'upper': 592, 'waitstaff': 593, 'wanted': 594, 'bite': 595, 'brunch': 596, 'buffet': 597, 'busy': 598, 'cake': 599, 'called': 600, 'deli': 601, 'desserts': 602, 'disappointing': 603, 'done': 604, 'duck': 605, 'end': 606, 'entrees': 607, 'garlic': 608, 'gave': 609, 'hang': 610, 'haru': 611, 'interesting': 612, 'lack': 613, 'low': 614, 'main': 615, 'miss': 616, 'myself': 617, 'offers': 618, 'oh': 619, 'own': 620, 'pastrami': 621, 'prix': 622, 'put': 623, 'reason': 624, 'run': 625, 'sat': 626, 'satisfied': 627, 'secret': 628, 'share': 629, 'slice': 630, 'solid': 631, 'soon': 632, 'suan': 633, 'summer': 634, 'things': 635, 'tip': 636, 'white': 637, 'afternoon': 638, 'asian': 639, 'avenue': 640, 'awful': 641, 'believe': 642, 'below': 643, 'bland': 644, 'boyfriend': 645, 'care': 646, 'caviar': 647, 'clean': 648, 'comfortable': 649, 'conversation': 650, 'crust': 651, 'enjoying': 652, 'except': 653, 'extra': 654, 'folks': 655, 'forget': 656, 'fusion': 657, 'glasses': 658, 'hand': 659, 'hard': 660, 'inside': 661, 'itself': 662, 'joint': 663, 'kitchen': 664, 'let': 665, 'literally': 666, 'long': 667, 'moment': 668, 'mouth': 669, 'oil': 670, 'okay': 671, 'ordering': 672, 'pathetic': 673, 'per': 674, 'plain': 675, 'pleasantly': 676, 'plus': 677, 'pork': 678, 'quiet': 679, 'received': 680, 'red': 681, 'relatively': 682, 'relaxing': 683, 'save': 684, 'scene': 685, 'serve': 686, 'server': 687, 'shabu': 688, 'soggy': 689, 'speak': 690, 'split': 691, 'theater': 692, 'thin': 693, 'treated': 694, 'trendy': 695, 'tuk': 696, 'variety': 697, 'visited': 698, 'wall': 699, 'weekends': 700, '1': 701, 'able': 702, 'along': 703, 'basil': 704, 'black': 705, 'comfort': 706, 'compared': 707, 'complimentary': 708, 'cramped': 709, 'either': 710, 'ended': 711, 'exceptional': 712, 'fair': 713, 'front': 714, 'garden': 715, 'girlfriend': 716, 'girls': 717, 'given': 718, 'guests': 719, 'higher': 720, 'hole': 721, 'hostess': 722, 'idea': 723, 'joints': 724, 'kids': 725, 'knew': 726, 'light': 727, 'liked': 728, 'looked': 729, 'midtown': 730, 'mizu': 731, 'modern': 732, 'nights': 733, 'occasion': 734, 'opened': 735, 'otherwise': 736, 'outdoor': 737, 'overbearing': 738, 'owners': 739, 'oysters': 740, 'park': 741, 'pieces': 742, 'quantity': 743, 'relax': 744, 'sashimi': 745, 'sea': 746, 'seem': 747, 'seen': 748, 'selections': 749, 'sense': 750, 'show': 751, 'smile': 752, 'soft': 753, 'sometimes': 754, 'stay': 755, 'stick': 756, 'surprised': 757, 'totally': 758, 'vegetables': 759, 'vibe': 760, 'vietnamese': 761, 'visiting': 762, 'walked': 763, 'wallet': 764, 'whether': 765, 'wish': 766, 'yes': 767, '40': 768, '7': 769, 'add': 770, 'amazed': 771, 'american': 772, 'among': 773, 'anniversary': 774, 'attractive': 775, 'bank': 776, 'become': 777, 'beers': 778, 'besides': 779, 'beyond': 780, 'brooklyn': 781, 'brought': 782, 'buns': 783, 'change': 784, 'consider': 785, 'crowd': 786, 'customers': 787, 'delight': 788, 'delivered': 789, 'early': 790, 'eats': 791, 'establishment': 792, 'expected': 793, 'favorites': 794, 'features': 795, 'filled': 796, 'five': 797, 'forward': 798, 'free': 799, 'freshness': 800, 'gets': 801, 'glad': 802, 'gotten': 803, 'grand': 804, 'greatest': 805, 'groups': 806, 'hands': 807, 'him': 808, 'horribly': 809, 'including': 810, 'instead': 811, 'interior': 812, 'intimate': 813, 'jimmy': 814, 'job': 815, 'katz': 816, 'likely': 817, 'lousy': 818, 'lucky': 819, 'management': 820, 'matter': 821, 'meals': 822, 'mean': 823, 'meat': 824, 'mention': 825, 'might': 826, 'morning': 827, 'needs': 828, 'notorious': 829, 'opinion': 830, 'orsay': 831, 'overly': 832, 'pick': 833, 'piece': 834, 'plenty': 835, 'presentation': 836, 'professional': 837, 'quickly': 838, 'rao': 839, 'read': 840, 'recently': 841, 'rush': 842, 'sandwiches': 843, 'sapphire': 844, 'says': 845, 'servers': 846, 'serves': 847, 'sharing': 848, 'shows': 849, 'sides': 850, 'soothing': 851, 'square': 852, 'stop': 853, 'stumbled': 854, 'superb': 855, 'surprisingly': 856, 'taj': 857, 'taken': 858, 'tasted': 859, 'tasting': 860, 'tea': 861, 'tell': 862, 'thank': 863, 'theatre': 864, 'these': 865, 'thoroughly': 866, 'through': 867, 'touch': 868, 'traditional': 869, 'trouble': 870, 'true': 871, 'type': 872, 'unless': 873, 'unlike': 874, 'vegetarian': 875, 'watching': 876, '%': 877, '..': 878, '12': 879, '2nd': 880, '50': 881, 'addition': 882, 'air': 883, 'alone': 884, 'annoying': 885, 'anywhere': 886, 'artisanal': 887, 'attitude': 888, 'ave': 889, 'avoid': 890, 'awsome': 891, 'baluchi': 892, 'bart': 893, 'between': 894, 'blue': 895, 'buck': 896, 'case': 897, 'cash': 898, 'celebrate': 899, 'certain': 900, 'champagne': 901, 'changed': 902, 'choose': 903, 'complete': 904, 'consistent': 905, 'corned': 906, 'corner': 907, 'cream': 908, 'crispy': 909, 'decided': 910, 'die': 911, 'dine': 912, 'diner': 913, 'diverse': 914, 'doing': 915, 'doubt': 916, 'downtown': 917, 'dry': 918, 'due': 919, 'ease': 920, 'easily': 921, 'eggplant': 922, 'eggs': 923, 'employees': 924, 'entertainment': 925, 'environment': 926, 'everytime': 927, 'experienced': 928, 'fan': 929, 'fancy': 930, 'fix': 931, 'flavors': 932, 'funky': 933, 'gf': 934, 'grab': 935, 'grilled': 936, 'growing': 937, 'guys': 938, 'happened': 939, 'head': 940, 'heavy': 941, 'help': 942, 'hours': 943, 'hurt': 944, 'ice': 945, 'ignored': 946, 'imagine': 947, 'impress': 948, 'inedible': 949, 'items': 950, 'kick': 951, 'knows': 952, 'living': 953, 'lots': 954, 'mahal': 955, 'maybe': 956, 'mcdonald': 957, 'means': 958, 'month': 959, 'months': 960, 'mushroom': 961, 'mushrooms': 962, 'name': 963, 'nearby': 964, 'noise': 965, 'occassion': 966, 'odd': 967, 'offered': 968, 'perfection': 969, 'personal': 970, 'pie': 971, 'pink': 972, 'plan': 973, 'poorly': 974, 'popular': 975, 'pot': 976, 'promptly': 977, 'provided': 978, 'reading': 979, 'roth': 980, 's': 981, 'salads': 982, 'salty': 983, 'serving': 984, 'shanghai': 985, 'short': 986, 'smaller': 987, 'somewhere': 988, 'sort': 989, 'spending': 990, 'spreads': 991, 'star': 992, 'start': 993, 'stomach': 994, 'sunday': 995, 'taiwanese': 996, 'takeout': 997, 'tanks': 998, 'till': 999, 'together': 1000, 'tomato': 1001, 'treat': 1002, 'twenty': 1003, 'use': 1004, 'usual': 1005, 'volare': 1006, 'weekend': 1007, 'west': 1008, 'willing': 1009, 'workers': 1010, 'year': 1011, '1st': 1012, '30': 1013, '45': 1014, '5.99': 1015, '8:00': 1016, 'accurate': 1017, 'alain': 1018, 'amazingly': 1019, 'aside': 1020, 'available': 1021, 'baby': 1022, 'bargain': 1023, 'based': 1024, 'basic': 1025, 'bass': 1026, 'bathroom': 1027, 'bbq': 1028, 'beginning': 1029, 'behind': 1030, 'bgel': 1031, 'blocks': 1032, 'bo': 1033, 'bored': 1034, 'bought': 1035, 'break': 1036, 'bringing': 1037, 'brings': 1038, 'bucks': 1039, 'burger': 1040, 'calamari': 1041, 'candle': 1042, 'catch': 1043, 'charged': 1044, 'chongqing': 1045, 'classic': 1046, 'classical': 1047, 'co': 1048, 'cocktails': 1049, 'cod': 1050, 'comparable': 1051, 'comparison': 1052, 'competent': 1053, 'congee': 1054, 'cooking': 1055, 'costs': 1056, 'counter': 1057, 'd': 1058, 'del': 1059, 'delicate': 1060, 'delightfully': 1061, 'desired': 1062, 'dined': 1063, 'dollars': 1064, 'dress': 1065, 'dressed': 1066, 'efficient': 1067, 'efficiently': 1068, 'english': 1069, 'enjoyable': 1070, 'event': 1071, 'everywhere': 1072, 'exciting': 1073, 'exotic': 1074, 'expecting': 1075, 'experiences': 1076, 'eye': 1077, 'fellow': 1078, 'fiance': 1079, 'filling': 1080, 'finish': 1081, 'frequently': 1082, 'freshest': 1083, 'friday': 1084, 'frisco': 1085, 'further': 1086, 'gelato': 1087, 'guest': 1088, 'hall': 1089, 'hangout': 1090, 'hate': 1091, 'hear': 1092, 'heard': 1093, 'heartland': 1094, 'hip': 1095, 'hyde': 1096, 'immediately': 1097, 'impeccable': 1098, 'important': 1099, 'impressive': 1100, 'indeed': 1101, 'item': 1102, 'japan': 1103, 'jekyll': 1104, 'jersey': 1105, 'joya': 1106, 'knowledgable': 1107, 'lanterna': 1108, 'larger': 1109, 'later': 1110, 'lightly': 1111, 'lime': 1112, 'limited': 1113, 'located': 1114, 'martini': 1115, 'meats': 1116, 'meeting': 1117, 'melted': 1118, 'memorable': 1119, 'middle': 1120, 'milk': 1121, 'missed': 1122, 'mom': 1123, 'mussels': 1124, 'near': 1125, 'nha': 1126, 'nite': 1127, 'noisy': 1128, 'nonsense': 1129, 'notch': 1130, 'offering': 1131, 'oily': 1132, 'overated': 1133, 'par': 1134, 'paris': 1135, 'particularly': 1136, 'personable': 1137, 'phenomenal': 1138, 'pho': 1139, 'ping': 1140, 'pizzas': 1141, 'pizzeria': 1142, 'possible': 1143, 'potential': 1144, 'previous': 1145, 'promised': 1146, 'queens': 1147, 'ravioli': 1148, 'recent': 1149, 'recognition': 1150, 'regularly': 1151, 'returning': 1152, 'reviewer': 1153, 'ripped': 1154, 'river': 1155, 'roast': 1156, 'roxy': 1157, 'rushed': 1158, 'salt': 1159, 'sangria': 1160, 'sauces': 1161, 'saul': 1162, 'saving': 1163, 'section': 1164, 'seemed': 1165, 'seriously': 1166, 'set': 1167, 'similar': 1168, 'sizes': 1169, 'sleek': 1170, 'sliced': 1171, 'smith': 1172, 'snobs': 1173, 'soho': 1174, 'south': 1175, 'speedy': 1176, 'spiced': 1177, 'spinach': 1178, 'spring': 1179, 'squid': 1180, 'started': 1181, 'students': 1182, 'stuff': 1183, 'subpar': 1184, 'suggest': 1185, 'suggested': 1186, 'surprising': 1187, 'takes': 1188, 'taking': 1189, 'talk': 1190, 'tempura': 1191, 'tend': 1192, 'terms': 1193, 'tikka': 1194, 'tiramisu': 1195, 'toppings': 1196, 'total': 1197, 'traffic': 1198, 'trang': 1199, 'tuesday': 1200, 'turn': 1201, 'turned': 1202, 'under': 1203, 'undercooked': 1204, 'unlimited': 1205, 'upstairs': 1206, 'waited': 1207, 'waiting': 1208, 'wants': 1209, 'waste': 1210, 'watery': 1211, 'weeks': 1212, 'working': 1213, 'worse': 1214, 'yeah': 1215, '+': 1216, '13': 1217, '16': 1218, '160': 1219, '19.95': 1220, '200': 1221, '25': 1222, '35': 1223, '60': 1224, '60.00': 1225, '6th': 1226, '9': 1227, 'accomodate': 1228, 'accompanied': 1229, 'accompaniment': 1230, 'advice': 1231, 'agree': 1232, 'allowed': 1233, 'alluring': 1234, 'already': 1235, 'alternative': 1236, 'amiable': 1237, 'amma': 1238, 'amounts': 1239, 'amuse': 1240, 'anticipating': 1241, 'anyway': 1242, 'appreciate': 1243, 'asking': 1244, 'assorted': 1245, 'assortment': 1246, 'balance': 1247, 'ballato': 1248, 'bang': 1249, 'barely': 1250, 'bean': 1251, 'beaten': 1252, 'beautifully': 1253, 'became': 1254, 'belt': 1255, 'benedict': 1256, 'biggest': 1257, 'blond': 1258, 'bombay': 1259, 'bother': 1260, 'bottles': 1261, 'brewery': 1262, 'bridge': 1263, 'bronx': 1264, 'bruschetta': 1265, 'bustling': 1266, 'butter': 1267, 'buy': 1268, 'buying': 1269, 'captain': 1270, 'careful': 1271, 'carts': 1272, 'cater': 1273, 'ceiling': 1274, 'central': 1275, 'charge': 1276, 'checked': 1277, 'chefs': 1278, 'chic': 1279, 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'noodle': 2002, 'nori': 2003, 'nose': 2004, 'note': 2005, 'noticed': 2006, 'number': 2007, 'nyu': 2008, 'oblige': 2009, 'obliged': 2010, 'octopus': 2011, 'offensive': 2012, 'onto': 2013, 'opening': 2014, 'opposite': 2015, 'opted': 2016, 'options': 2017, 'ordinary': 2018, 'orrechiete': 2019, 'outing': 2020, 'outrageously': 2021, 'outshine': 2022, 'overcompensate': 2023, 'overflowing': 2024, 'overheard': 2025, 'overlooked': 2026, 'overrated': 2027, 'overwhelm': 2028, 'page': 2029, 'painted': 2030, 'palate': 2031, 'palates': 2032, 'palette': 2033, 'pancakes': 2034, 'paneer': 2035, 'particular': 2036, 'passing': 2037, 'pastas': 2038, 'path': 2039, 'patio': 2040, 'patroon': 2041, 'patsy': 2042, 'patties': 2043, 'peak': 2044, 'pearls': 2045, 'perfectly': 2046, 'performance': 2047, 'perks': 2048, 'personality': 2049, 'pesto': 2050, 'picks': 2051, 'pig': 2052, 'pineapple': 2053, 'pints': 2054, 'planet': 2055, 'platter': 2056, 'pleasnt': 2057, 'pleasurable': 2058, 'plethora': 2059, 'points': 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2298, 'worry': 2299, 'wow': 2300, 'writing': 2301, 'wrote': 2302, 'ya': 2303, 'yon': 2304, 'yourselves': 2305, 'yuka': 2306, 'zabars': 2307, 'ziti': 2308, '~': 2309, \"'em\": 2310, '-even': 2311, '-result': 2312, '.the': 2313, '1,2,3': 2314, '1.95': 2315, '14': 2316, '14.00': 2317, '161': 2318, '19': 2319, '1:00am': 2320, '2.50': 2321, '2003': 2322, '2006': 2323, '23rd': 2324, '28': 2325, '3-course': 2326, '3.25': 2327, '300': 2328, '3rd': 2329, '3x': 2330, '4.00': 2331, '40times': 2332, '46th': 2333, '49': 2334, '4th': 2335, '57th': 2336, '5:30': 2337, '5th': 2338, '6.00': 2339, '600': 2340, '6:30': 2341, '70': 2342, '70.00': 2343, '74th': 2344, '760': 2345, '80': 2346, '8th': 2347, '9.3': 2348, '90': 2349, ';': 2350, '=': 2351, '@': 2352, 'NAME': 2353, 'a++': 2354, 'a+++': 2355, 'aanother': 2356, 'abby': 2357, 'abrupt': 2358, 'absolute': 2359, 'accent': 2360, 'accept': 2361, 'acceptable': 2362, 'accessible': 2363, 'accident': 2364, 'accidently': 2365, 'accomplishes': 2366, 'accustomed': 2367, 'achilles': 2368, 'act': 2369, 'actresses': 2370, 'additional': 2371, 'adds': 2372, 'adequate': 2373, 'adequately': 2374, 'adjust': 2375, 'admire': 2376, 'admittedly': 2377, 'adore': 2378, 'advanatage': 2379, 'advance': 2380, 'adventurous': 2381, 'affair': 2382, 'affected': 2383, 'afford': 2384, 'aforementioned': 2385, 'afortune': 2386, 'afterwards': 2387, 'against': 2388, 'agenda': 2389, 'ages': 2390, 'ahead': 2391, 'ahhh': 2392, 'ai': 2393, 'aisle': 2394, 'ala': 2395, 'alcohol': 2396, 'alive': 2397, 'alla': 2398, 'allergies': 2399, 'alley': 2400, 'alphabet': 2401, 'amanzing': 2402, 'amazin': 2403, 'ambiance-': 2404, 'ambient': 2405, 'america': 2406, 'amex': 2407, 'amongst': 2408, 'andy': 2409, 'angry': 2410, 'animals': 2411, 'annual': 2412, 'answer': 2413, 'answering': 2414, 'answers': 2415, 'ant': 2416, 'anti': 2417, 'antipasti': 2418, 'antiques': 2419, 'anyhow': 2420, 'anymore': 2421, 'anyones': 2422, 'anytime': 2423, 'apart': 2424, 'apetizers': 2425, 'apologetic': 2426, 'apologies': 2427, 'apologize': 2428, 'apologized': 2429, 'app': 2430, 'appeared': 2431, 'appetito': 2432, 'appettite': 2433, 'apple': 2434, 'apples': 2435, 'apppetizers': 2436, 'apprised': 2437, 'approached': 2438, 'appropriate': 2439, 'approximately': 2440, 'apps': 2441, 'ar': 2442, 'areo': 2443, 'argentinian': 2444, 'arigato': 2445, 'arrives': 2446, 'artery': 2447, 'artsy': 2448, 'associates': 2449, 'assuming': 2450, 'astoria': 2451, 'atlantic': 2452, 'atlhough': 2453, 'atmorphere': 2454, 'atmoshpere': 2455, 'atomosphere': 2456, 'atrocious': 2457, 'attached': 2458, 'attend': 2459, 'attendant': 2460, 'attended': 2461, 'attending': 2462, 'attest': 2463, 'attitudes': 2464, 'attracted': 2465, 'attraction': 2466, 'attracts': 2467, 'aunthentic': 2468, 'authentically': 2469, 'avocado': 2470, 'avoided': 2471, 'aweful': 2472, 'awkardly': 2473, 'b': 2474, 'b+': 2475, 'b.o.g': 2476, 'background': 2477, 'bacos': 2478, 'badly': 2479, 'bag': 2480, 'bagles': 2481, 'balsamic': 2482, 'balthazar': 2483, 'bands': 2484, 'bannan': 2485, 'banquet': 2486, 'barber': 2487, 'barebecued': 2488, 'bars': 2489, 'basically': 2490, 'basmati': 2491, 'batter': 2492, 'batting': 2493, 'bay': 2494, 'beach': 2495, 'bearded': 2496, 'bearing': 2497, 'beauty': 2498, 'bedford': 2499, 'began': 2500, 'bella': 2501, 'bench': 2502, 'benches': 2503, 'bene': 2504, 'bengali': 2505, 'berate': 2506, 'best-': 2507, 'bet': 2508, 'beverages': 2509, 'bhelpuri': 2510, 'bindi': 2511, 'binge': 2512, 'biscuits': 2513, 'bisque': 2514, 'bistros': 2515, 'bitter': 2516, 'blackboard': 2517, 'blah': 2518, 'blantently': 2519, 'blast': 2520, 'blasted': 2521, 'blazer': 2522, 'bleecker': 2523, 'bloom': 2524, 'blowing': 2525, 'board': 2526, 'boarderline': 2527, 'boiled': 2528, 'boiling': 2529, 'bon': 2530, 'bone': 2531, 'booked': 2532, 'boot': 2533, 'booth': 2534, 'boots': 2535, 'borderline': 2536, 'boston': 2537, 'bothered': 2538, 'botle': 2539, 'bouche': 2540, 'bowl': 2541, 'box': 2542, 'boxed': 2543, 'boxes': 2544, 'boy': 2545, 'boys': 2546, 'braised': 2547, 'branzino': 2548, 'brassiere': 2549, 'brava': 2550, 'bravissimo': 2551, 'bravo': 2552, 'breads': 2553, 'breast': 2554, 'breathe': 2555, 'breezy': 2556, 'breweries': 2557, 'bright': 2558, 'brightly': 2559, 'brioche': 2560, 'broadway': 2561, 'broke': 2562, 'broken': 2563, 'brother': 2564, 'brunch-': 2565, 'bruno': 2566, 'bruschettas': 2567, 'brushed': 2568, 'brushetta': 2569, 'bts': 2570, 'bubbly': 2571, 'buddies': 2572, 'build': 2573, 'building': 2574, 'bukhara': 2575, 'bummer': 2576, 'bumped': 2577, 'buon': 2578, 'burgers': 2579, 'buried': 2580, 'burn': 2581, 'burned': 2582, 'burner': 2583, 'busboy': 2584, 'busier': 2585, 'buttah': 2586, 'butternut': 2587, 'buys': 2588, 'cabernet': 2589, 'cakebread': 2590, 'cakes': 2591, 'calcutta': 2592, 'calf': 2593, 'caliber': 2594, 'california': 2595, 'calzones': 2596, 'cambridge': 2597, 'candles': 2598, 'canned': 2599, 'cannoli': 2600, 'cans': 2601, 'cantonese': 2602, 'caprese': 2603, 'caramelized': 2604, 'cards': 2605, 'cared': 2606, 'carlo': 2607, 'carnivore': 2608, 'carozza': 2609, 'cart': 2610, 'caserole': 2611, 'cashew': 2612, 'casimir': 2613, 'casualness': 2614, 'catcher': 2615, 'caters': 2616, 'cats': 2617, 'celebrating': 2618, 'celebration': 2619, 'cemetery': 2620, 'center': 2621, 'certainty': 2622, 'ceviche': 2623, 'chaat': 2624, 'chaats': 2625, 'chai': 2626, 'chair': 2627, 'chairs': 2628, 'chalk': 2629, 'challah': 2630, 'challenge': 2631, 'challenged': 2632, 'changing': 2633, 'charm': 2634, 'charmingly': 2635, 'charred': 2636, 'chat': 2637, 'cheeky': 2638, 'cheescake': 2639, 'cheeseburgers': 2640, 'cheesecake': 2641, 'cheeses': 2642, 'cheff': 2643, 'chevre': 2644, 'child': 2645, 'children': 2646, 'chilean': 2647, 'chin': 2648, 'china': 2649, 'chop': 2650, 'chopped': 2651, 'chopsticks': 2652, 'chose': 2653, 'chosen': 2654, 'chosing': 2655, 'chunks': 2656, 'chutneys': 2657, 'ciao': 2658, 'ciro': 2659, 'claiming': 2660, 'clam': 2661, 'cleaned': 2662, 'clear': 2663, 'clients': 2664, 'clogging': 2665, 'closed': 2666, 'closes': 2667, 'closing': 2668, 'coats': 2669, 'cocktail': 2670, 'code': 2671, 'codes': 2672, 'coem': 2673, 'cole': 2674, 'colonies': 2675, 'colorful': 2676, 'columbia': 2677, 'comeback': 2678, 'commend': 2679, 'comment': 2680, 'community': 2681, 'compact': 2682, 'companionship': 2683, 'company': 2684, 'compelled': 2685, 'compensate': 2686, 'competing': 2687, 'complaining': 2688, 'complementary': 2689, 'compliment': 2690, 'concern': 2691, 'concerned': 2692, 'concerning': 2693, 'concluded': 2694, 'concoction': 2695, 'condiments': 2696, 'confirm': 2697, 'confit': 2698, 'confused': 2699, 'confusing': 2700, 'connected': 2701, 'consequently': 2702, 'consistant': 2703, 'consistency': 2704, 'consomme': 2705, 'continually': 2706, 'contrast': 2707, 'convert': 2708, 'converted': 2709, 'convinced': 2710, 'cornelia': 2711, 'corona': 2712, 'cosette': 2713, 'cosmopolitan': 2714, 'costco': 2715, 'cougars': 2716, 'counted': 2717, 'counters': 2718, 'countryside': 2719, 'couples': 2720, 'courdoroy': 2721, 'court': 2722, 'courtesey': 2723, 'couteract': 2724, 'covering': 2725, 'covers': 2726, 'cracked': 2727, 'crackling': 2728, 'crafted': 2729, 'cram': 2730, 'crap': 2731, 'crawfish': 2732, 'crazy': 2733, 'creamy': 2734, 'create': 2735, 'creation': 2736, 'creatively': 2737, 'creatures': 2738, 'crispier': 2739, 'critic': 2740, 'cross': 2741, 'crossed': 2742, 'crumbled': 2743, 'crunchy': 2744, 'cube': 2745, 'cucumber': 2746, 'cucumbers': 2747, 'current': 2748, 'curtain': 2749, 'custards': 2750, 'da': 2751, 'dahkin': 2752, 'dainty': 2753, 'daiquiries': 2754, 'dakshin': 2755, 'dal': 2756, 'dals': 2757, 'dam': 2758, 'dance': 2759, 'dank': 2760, 'david': 2761, 'days': 2762, 'daytona': 2763, 'dazzling': 2764, 'de': 2765, 'dealing': 2766, 'deals': 2767, 'decidedly': 2768, 'decision': 2769, 'decker': 2770, 'deegan': 2771, 'deep': 2772, 'defiantly': 2773, 'deficiencies': 2774, 'definently': 2775, 'definintely': 2776, 'defitely': 2777, 'degree': 2778, 'delayed': 2779, 'delcious': 2780, 'delighted': 2781, 'delis': 2782, 'deliver': 2783, 'depends': 2784, 'descent': 2785, 'describe': 2786, 'described': 2787, 'desolate': 2788, 'destroy': 2789, 'detailed': 2790, 'details': 2791, 'devoid': 2792, 'devoted': 2793, 'devoured': 2794, 'df': 2795, 'diamond': 2796, \"did'nt\": 2797, \"did't\": 2798, 'died': 2799, 'diet': 2800, 'difference': 2801, 'dills': 2802, 'dinosaur': 2803, 'dirty': 2804, 'disapointing': 2805, 'disappoint': 2806, 'disaster': 2807, 'discount': 2808, 'discover': 2809, 'dismayed': 2810, 'display': 2811, 'dissapointment': 2812, 'distract': 2813, 'divine': 2814, 'dj': 2815, 'dogs': 2816, 'domincan': 2817, 'dominican': 2818, 'doneness': 2819, 'donut': 2820, 'dosas': 2821, 'downside': 2822, 'downstairs': 2823, 'doyers': 2824, 'dozen': 2825, 'dozens': 2826, 'drafty': 2827, 'draw': 2828, 'drawbacks': 2829, 'drawn': 2830, 'dream': 2831, 'drenched': 2832, 'dressing': 2833, 'drip': 2834, 'drizzled': 2835, 'drumsticks': 2836, 'drunk': 2837, 'drunken': 2838, 'dulce': 2839, 'duo': 2840, 'earth': 2841, 'easier': 2842, 'eastside': 2843, 'eastsider': 2844, 'eaters': 2845, 'eclectic': 2846, 'ed': 2847, 'edamames': 2848, 'edge': 2849, 'edibility': 2850, 'editor': 2851, 'eel': 2852, 'effective': 2853, 'effects': 2854, 'elegantly': 2855, 'embracing': 2856, 'emma': 2857, 'emphasis': 2858, 'employ': 2859, 'encounter': 2860, 'encountered': 2861, 'energeic': 2862, 'engaging': 2863, 'england': 2864, 'enormous': 2865, 'enough-': 2866, 'ensuring': 2867, 'entering': 2868, 'entertain': 2869, 'entertained': 2870, 'entertaining': 2871, 'entranceway': 2872, \"entre'es\": 2873, 'eons': 2874, 'equation': 2875, 'erroneously': 2876, 'escargot': 2877, 'ethnic': 2878, 'evaluated': 2879, 'eventhough': 2880, 'everybody': 2881, 'everyday': 2882, 'evil': 2883, 'evoked': 2884, 'exactly': 2885, 'example': 2886, 'exceeded': 2887, 'excelent': 2888, 'excelent.i': 2889, 'excellence': 2890, 'exceptionally': 2891, 'exclusive': 2892, 'execution': 2893, 'exemplifies': 2894, 'existant': 2895, 'existence': 2896, 'exists': 2897, 'expand': 2898, 'expanded': 2899, 'explained': 2900, 'explanations': 2901, 'explored': 2902, 'exploring': 2903, 'express': 2904, 'expressway': 2905, 'exprience': 2906, 'exterminator': 2907, 'extrmely': 2908, 'f': 2909, 'faced': 2910, 'faces': 2911, 'facie': 2912, 'facing': 2913, 'fails': 2914, 'faired': 2915, 'fake': 2916, 'fallback': 2917, 'famished': 2918, 'farther': 2919, 'fats': 2920, 'faves': 2921, 'favorable': 2922, 'favors': 2923, 'favourite': 2924, 'fe': 2925, 'feature': 2926, 'feels': 2927, 'feet': 2928, 'fellas': 2929, 'female': 2930, 'fetish': 2931, 'figs': 2932, 'filets': 2933, 'fillet': 2934, 'fillings': 2935, 'film': 2936, 'final': 2937, 'finds': 2938, 'finest': 2939, 'fingers': 2940, 'firm': 2941, 'fishy': 2942, 'fl': 2943, 'flaky': 2944, 'flashy': 2945, 'flat': 2946, 'flavorful': 2947, 'flavoring': 2948, 'flavorless': 2949, 'flight': 2950, 'floating': 2951, 'floored': 2952, 'flour': 2953, 'flower': 2954, 'flowing': 2955, 'fluffy': 2956, 'fluke': 2957, 'flyer': 2958, 'focus': 2959, 'foie': 2960, 'foodie': 2961, 'foos': 2962, 'foot': 2963, 'footing': 2964, 'forgivable': 2965, 'forgiven': 2966, 'formed': 2967, 'fornini': 2968, 'fortune': 2969, 'fountain': 2970, 'fourth': 2971, 'foward': 2972, 'france': 2973, 'frankenstein': 2974, 'frankly': 2975, 'frat': 2976, 'frederick': 2977, 'freezing': 2978, 'fresher': 2979, 'freshwater': 2980, 'fri': 2981, 'fridays': 2982, 'fridge': 2983, 'fritter': 2984, 'fritters': 2985, 'fromager': 2986, 'fronts': 2987, 'frozen': 2988, 'fruit': 2989, 'frustrating': 2990, 'frustration': 2991, 'fry': 2992, 'fully': 2993, 'funny': 2994, 'fuss': 2995, 'gabriela': 2996, 'gallery': 2997, 'gaskin': 2998, 'gathered': 2999, 'gawky': 3000, 'generally': 3001, 'generation': 3002, 'gentleman': 3003, 'genuine': 3004, 'getup': 3005, 'ghetto': 3006, 'gig': 3007, 'gigino': 3008, 'gigondas': 3009, 'gimmick': 3010, 'gimmicks': 3011, 'gin': 3012, 'girlfiends': 3013, 'glazed': 3014, 'gnocchi': 3015, 'godfather': 3016, 'gods': 3017, 'golden': 3018, 'goodfellas': 3019, 'gowns': 3020, 'gozimas': 3021, 'grabbed': 3022, 'graciously': 3023, 'grammercy': 3024, 'grandfather': 3025, 'gras': 3026, 'grease': 3027, 'greater': 3028, 'greatly': 3029, 'greenewich': 3030, 'greenwood': 3031, 'greets': 3032, 'gret': 3033, 'grill': 3034, 'grilling': 3035, 'grocery': 3036, 'groove': 3037, 'ground': 3038, 'grow': 3039, 'grown': 3040, 'gruppo': 3041, 'gummy': 3042, 'hamburgers': 3043, 'handful': 3044, 'handle': 3045, 'happier': 3046, 'hardcore': 3047, 'hassle': 3048, 'hated': 3049, 'hats': 3050, 'haunts': 3051, 'hearing': 3052, 'heartier': 3053, 'heat': 3054, 'heated': 3055, 'heating': 3056, 'heck': 3057, 'heeded': 3058, 'heel': 3059, 'heights': 3060, 'held': 3061, 'helped': 3062, 'helping': 3063, 'helps': 3064, 'herb': 3065, 'herbs': 3066, 'heritage': 3067, 'herky': 3068, 'hesititate': 3069, 'hideof': 3070, 'hideously': 3071, 'highlight': 3072, 'highlighting': 3073, 'hike': 3074, 'hill': 3075, 'hinting': 3076, 'historic': 3077, 'hmmm': 3078, 'hobokeni.com': 3079, 'hoist': 3080, 'holding': 3081, 'hollondaise': 3082, 'hopefully': 3083, 'hopping': 3084, 'horedevous': 3085, 'horrendous': 3086, 'horrific': 3087, 'horrified': 3088, 'hostile': 3089, 'hosting': 3090, 'hosts': 3091, 'hudson': 3092, 'hugely': 3093, 'humble': 3094, 'humor': 3095, 'hunan': 3096, 'hung': 3097, 'hunted': 3098, 'hustled': 3099, 'hydes': 3100, 'hype': 3101, 'icing': 3102, 'icy': 3103, 'ideas': 3104, 'idiots': 3105, 'ie': 3106, 'il': 3107, 'imagination': 3108, 'imitation': 3109, 'importantly': 3110, 'imported': 3111, 'imposing': 3112, 'impresses': 3113, 'improper': 3114, 'includes': 3115, 'incoming': 3116, 'inconsistent': 3117, 'independent': 3118, 'india': 3119, 'indoor': 3120, 'inducing': 3121, 'info': 3122, 'infused': 3123, 'ingrediants': 3124, 'initially': 3125, 'inludes': 3126, 'innovations': 3127, 'innovators': 3128, 'inobtrusive': 3129, 'inovated': 3130, 'ins': 3131, 'insides': 3132, 'inspired': 3133, 'institutions': 3134, 'insultingly': 3135, 'integral': 3136, 'intermediate': 3137, 'interns': 3138, 'interrupted': 3139, 'intitally': 3140, 'introducing': 3141, 'intrusive': 3142, 'inwood': 3143, 'iron': 3144, 'ish': 3145, 'island': 3146, 'italy': 3147, 'izakaya': 3148, 'jabbing': 3149, 'jackel': 3150, 'japenese': 3151, 'jason': 3152, 'jeckll': 3153, 'jeffery': 3154, 'jelly': 3155, 'jewel': 3156, 'jewish': 3157, 'jimmys': 3158, 'jsut': 3159, 'judge': 3160, 'judgement': 3161, 'jukebox': 3162, 'jump': 3163, 'kababs': 3164, 'kalbi': 3165, 'kamasutra': 3166, 'kamikaze': 3167, 'kebabs': 3168, 'keeping': 3169, 'kendall': 3170, 'kennsington': 3171, 'kenny': 3172, 'kensington': 3173, 'kerosene': 3174, 'kha': 3175, 'kicked': 3176, 'kicker': 3177, 'kicks': 3178, 'kielbasa': 3179, 'kill': 3180, 'killer': 3181, 'kinda': 3182, 'kindly': 3183, 'king': 3184, 'kinoko': 3185, 'knish': 3186, 'knishes': 3187, 'knowledge': 3188, 'kofta': 3189, 'korma': 3190, 'kosher': 3191, 'kruno': 3192, 'kudos': 3193, 'lafayette': 3194, 'lag': 3195, 'lage': 3196, 'lambchops': 3197, 'lanes': 3198, 'langostine': 3199, 'lasagna': 3200, 'lasagnette': 3201, 'lassi': 3202, 'latter': 3203, 'laughed': 3204, 'lava': 3205, 'lawns': 3206, 'laying': 3207, 'le': 3208, 'leaf': 3209, 'leafy': 3210, 'leaping': 3211, 'leary': 3212, 'leche': 3213, 'leftover': 3214, 'legacies': 3215, 'lentil': 3216, 'lets': 3217, 'lexington': 3218, 'ley': 3219, 'liang': 3220, 'liberty': 3221, 'licked': 3222, 'lifted': 3223, 'lighting': 3224, 'lights': 3225, 'likeable': 3226, 'likes': 3227, 'limit': 3228, 'limp': 3229, 'lines': 3230, 'link': 3231, 'lip': 3232, 'liquers': 3233, 'listening': 3234, 'listers': 3235, 'literal': 3236, 'literate': 3237, 'lizard': 3238, 'lloovve': 3239, 'loaded': 3240, 'locations': 3241, 'lollies': 3242, 'lollipop': 3243, 'london': 3244, 'longer': 3245, 'lonk': 3246, 'loose': 3247, 'lotus': 3248, 'louder': 3249, 'lounge': 3250, 'lower': 3251, 'loyalty': 3252, 'ls': 3253, 'lt': 3254, 'luckily': 3255, 'lumpy': 3256, 'lunch-': 3257, 'lurking': 3258, 'ly': 3259, 'lyle': 3260, 'machine': 3261, 'mai': 3262, 'mains': 3263, 'makhani': 3264, 'man': 3265, 'manhattanite': 3266, 'manna': 3267, 'mannered': 3268, 'manydifferent': 3269, 'marcelo': 3270, 'march': 3271, 'mare': 3272, 'margarita': 3273, 'margaritas': 3274, 'margarite': 3275, 'margheritta': 3276, 'marinated': 3277, 'marine': 3278, 'marketing': 3279, 'marks': 3280, 'married': 3281, 'martinis': 3282, 'marvelous': 3283, 'masses': 3284, 'masters': 3285, 'matches': 3286, 'materials': 3287, 'max': 3288, 'maximize': 3289, 'mayo': 3290, 'mayonaisse': 3291, 'mayonnaise': 3292, 'meaningless': 3293, 'measures': 3294, 'meet': 3295, 'meetball': 3296, 'meets': 3297, 'members': 3298, 'men': 3299, 'mentioned': 3300, 'merely': 3301, 'mesclun': 3302, 'met': 3303, 'metrazur': 3304, 'mezzanine': 3305, 'mid': 3306, 'mike': 3307, 'milan': 3308, 'mild': 3309, 'mill': 3310, 'million': 3311, 'mimosas': 3312, 'mine': 3313, 'minimal': 3314, 'minimun': 3315, 'minute': 3316, 'miraculously': 3317, 'miso': 3318, 'mistake': 3319, 'mocaramel': 3320, 'mojito': 3321, 'molars': 3322, 'molto': 3323, 'mommy': 3324, 'mondays': 3325, 'monster': 3326, 'monte': 3327, 'monthly': 3328, 'moral': 3329, 'moreover': 3330, 'mortal': 3331, 'moshphere': 3332, 'mostly': 3333, 'mount': 3334, 'mousse': 3335, 'mozz': 3336, 'mozzarella': 3337, 'mozzerella': 3338, 'msg': 3339, 'mud': 3340, 'muggy': 3341, 'mulino': 3342, 'multiplied': 3343, 'murky': 3344, 'mussaman': 3345, 'mussel': 3346, 'myriad': 3347, 'na': 3348, 'names': 3349, 'napoli': 3350, 'narone': 3351, 'narrow': 3352, 'native': 3353, 'nearing': 3354, 'nebbiolo': 3355, 'necessary': 3356, 'needless': 3357, 'negative': 3358, 'negatively': 3359, 'neglected': 3360, 'neighboors': 3361, 'neighborhood-': 3362, 'neighborhoody': 3363, 'neightborhood': 3364, 'nex': 3365, 'nicely': 3366, 'nicky': 3367, 'nightcap': 3368, 'nobody': 3369, 'nobu': 3370, 'nolita': 3371, 'nona': 3372, 'nonchalant': 3373, 'noon': 3374, 'normally': 3375, 'northern': 3376, 'nothingon': 3377, 'notice': 3378, 'noticicing': 3379, 'notified': 3380, 'nov': 3381, 'nudged': 3382, 'nuts': 3383, 'o': 3384, 'o.g': 3385, 'o.k': 3386, 'oasis': 3387, 'oatmeal': 3388, 'obnoxious': 3389, 'obtained': 3390, 'obv': 3391, 'obvious': 3392, 'occasionally': 3393, 'offeres': 3394, 'offerng': 3395, 'office': 3396, 'office-': 3397, 'official': 3398, 'ofr': 3399, 'og': 3400, 'okra': 3401, 'oldies': 3402, 'omakase': 3403, 'omelet': 3404, 'omelletes': 3405, 'onion': 3406, 'onions': 3407, 'oozing': 3408, 'opera': 3409, 'operate': 3410, 'operation': 3411, 'oreganta': 3412, 'organic': 3413, 'orginal': 3414, 'ot': 3415, 'otherworldly': 3416, 'ottimo': 3417, 'ours': 3418, 'outisde': 3419, 'outragous': 3420, 'outs': 3421, 'outta': 3422, 'overcooked': 3423, 'overcrowded': 3424, 'overdone': 3425, 'overhyped': 3426, 'overlook': 3427, 'overlooking': 3428, 'overlooks': 3429, 'overpack': 3430, 'overpowering': 3431, 'overpraised': 3432, 'overprice': 3433, 'overwhelmed': 3434, 'ow': 3435, 'owned': 3436, 'owns': 3437, 'oyster': 3438, 'p.s': 3439, 'pacifico': 3440, 'packaged': 3441, 'packages': 3442, 'pair': 3443, 'paired': 3444, 'pairings': 3445, 'palak': 3446, 'palets': 3447, 'pam': 3448, 'pams': 3449, 'panang': 3450, 'pancake': 3451, 'paninis': 3452, 'pans': 3453, 'paratha': 3454, 'parathas': 3455, 'parched': 3456, 'parisian': 3457, 'parked': 3458, 'parking': 3459, 'parm': 3460, 'parmesean': 3461, 'parmigana': 3462, 'parsipanny': 3463, 'partial': 3464, 'particulary': 3465, 'partly': 3466, 'pass': 3467, 'passed': 3468, 'passion': 3469, 'pastry': 3470, 'patient': 3471, 'patron': 3472, 'patronize': 3473, 'paying': 3474, 'pbs': 3475, 'peaceful': 3476, 'peanut': 3477, 'pell': 3478, 'pelligrino': 3479, 'pen': 3480, 'penang': 3481, 'penny': 3482, 'percent': 3483, 'pere': 3484, 'perfume': 3485, 'period': 3486, 'perrrrrrrrrfect': 3487, 'personally': 3488, 'personaly': 3489, 'persons': 3490, 'peter': 3491, 'photobook': 3492, 'photos': 3493, 'phrase': 3494, 'picked': 3495, 'pickels': 3496, 'pics': 3497, 'pictures': 3498, 'pies': 3499, 'piled': 3500, 'pinard': 3501, 'pinnacle': 3502, 'pinnacles': 3503, 'pinot': 3504, 'piped': 3505, 'pistachio': 3506, 'pita': 3507, 'pits': 3508, 'planning': 3509, 'plans': 3510, 'platters': 3511, 'play': 3512, 'playfull': 3513, 'playing': 3514, 'plays': 3515, 'pleasing': 3516, 'po': 3517, 'polite': 3518, 'porridge': 3519, 'portioins': 3520, 'portraits': 3521, 'postal': 3522, 'posted': 3523, 'posting': 3524, 'posts': 3525, 'poured': 3526, 'powder': 3527, 'practice': 3528, 'pray': 3529, 'precise': 3530, 'precisely': 3531, 'prelude': 3532, 'preparing': 3533, 'present': 3534, 'presentaion': 3535, 'pressured': 3536, 'pretension': 3537, 'pricing': 3538, 'prima': 3539, 'princesses': 3540, 'privacy': 3541, 'prixe': 3542, 'prize': 3543, 'proceeded': 3544, 'professor': 3545, 'progress': 3546, 'promise': 3547, 'promising': 3548, 'proper': 3549, 'propmtly': 3550, 'proportioned': 3551, 'prosecco': 3552, 'prospect': 3553, 'prosperity': 3554, 'proudly': 3555, 'province': 3556, 'proximity': 3557, 'puff': 3558, 'pulitzer': 3559, 'pulled': 3560, 'pumkin': 3561, 'puree': 3562, 'purely': 3563, 'pushed': 3564, 'quail': 3565, 'qualities': 3566, 'quibbles': 3567, 'quietly': 3568, 'raga': 3569, 'raining': 3570, 'rally': 3571, 'randomly': 3572, 'rarity': 3573, 'ration': 3574, 'raucous': 3575, 'raucus': 3576, 'ray': 3577, 'reached': 3578, 'reaches': 3579, 'reaching': 3580, 'realize': 3581, 'reallocating': 3582, 'realtively': 3583, 'realy': 3584, 'rearely': 3585, 'reasons': 3586, 'reccomendation': 3587, 'reccommend': 3588, 'recieved': 3589, 'recomend': 3590, 'recomendations': 3591, 'recomends': 3592, 'recommand': 3593, 'recommends': 3594, 'record': 3595, 'redeeming': 3596, 'redone': 3597, 'referred': 3598, 'refill': 3599, 'refilled': 3600, 'refined': 3601, 'refinement': 3602, 'refleshment': 3603, 'refuse': 3604, 'refused': 3605, 'rejoice': 3606, 'remaining': 3607, 'remembered': 3608, 'reminded': 3609, 'removing': 3610, 'repeatable': 3611, 'repeated': 3612, 'replaced': 3613, 'reputation': 3614, 'requested': 3615, 'requesting': 3616, 'require': 3617, 'required': 3618, 'resembled': 3619, 'respond': 3620, 'response': 3621, 'responsibility': 3622, 'restaraurant': 3623, 'restraunt': 3624, 'results': 3625, 'retired': 3626, 'reuben': 3627, 'revenue': 3628, 'reviewed': 3629, 'reviewers': 3630, 'ribbon': 3631, 'rich': 3632, 'ridding': 3633, 'ridge': 3634, 'rigid': 3635, 'risen': 3636, 'risky': 3637, 'risotto': 3638, 'rivals': 3639, 'roasted': 3640, 'robust': 3641, 'rockefeller': 3642, 'roe': 3643, 'rolling': 3644, 'romance': 3645, 'roommate': 3646, 'root': 3647, 'rosario': 3648, 'rose': 3649, 'routinely': 3650, 'royality': 3651, 'rubber': 3652, 'ruben': 3653, 'rudely': 3654, 'rule': 3655, 'rules': 3656, 'runned': 3657, 'runners': 3658, 'rye': 3659, 'sadly': 3660, 'saet': 3661, 'saffron': 3662, 'sakagura': 3663, 'sale': 3664, 'sally': 3665, 'saltimbocca': 3666, 'salvatore': 3667, 'sampler': 3668, 'sandwhich': 3669, 'sandwhiches': 3670, 'sans': 3671, 'santa': 3672, 'sardines': 3673, 'sastifying': 3674, 'satisfy': 3675, 'satisfying': 3676, 'sausages': 3677, 'saved': 3678, 'scalina': 3679, 'scalini': 3680, 'scallop': 3681, 'scampi': 3682, 'scared': 3683, 'scatty': 3684, 'scenery': 3685, 'scents': 3686, 'schimmel': 3687, 'scoop': 3688, 'scoops': 3689, 'scrapped': 3690, 'screwed': 3691, 'scrumptious': 3692, 'sculptured': 3693, 'se': 3694, 'seafoods': 3695, 'seasoning': 3696, 'seaweed': 3697, 'secluded': 3698, 'secondly': 3699, 'seconds': 3700, 'seek': 3701, 'seeking': 3702, 'seldom': 3703, 'selecion': 3704, 'seltzer': 3705, 'semi': 3706, 'servants': 3707, 'service-': 3708, 'servings': 3709, 'sets': 3710, 'settled': 3711, 'sevpuri': 3712, 'sexy': 3713, 'shakes': 3714, 'shanghainese': 3715, 'shank': 3716, 'sheer': 3717, 'shines': 3718, 'shining': 3719, 'shipped': 3720, 'shirt': 3721, 'shirts': 3722, 'shoestring': 3723, 'shop': 3724, 'shoppe': 3725, 'shot': 3726, 'shoulders': 3727, 'shout': 3728, 'showcase': 3729, 'showing': 3730, 'shrimps': 3731, 'shuizhu': 3732, 'shut': 3733, 'siam': 3734, 'sidewalk': 3735, 'sigh': 3736, 'sign': 3737, 'singapore': 3738, 'single': 3739, 'sipping': 3740, 'six': 3741, 'sixth': 3742, 'sized': 3743, 'sketchy': 3744, 'skew': 3745, 'skimp': 3746, 'skimpy': 3747, 'skipped': 3748, 'sleeping': 3749, 'sliding': 3750, 'sligtly': 3751, 'sliv': 3752, 'slurp': 3753, 'slurry': 3754, 'smelled': 3755, 'smiles': 3756, 'smitten': 3757, 'smoke': 3758, 'smoked': 3759, 'snack': 3760, 'snag': 3761, 'sneakers': 3762, 'snobby': 3763, 'soaked': 3764, 'soh': 3765, 'someother': 3766, 'sometime': 3767, 'sommelier': 3768, 'son': 3769, 'soo': 3770, 'sooo': 3771, 'sophia': 3772, 'sophistication': 3773, 'souffle': 3774, 'sounds': 3775, 'soupy': 3776, 'southern': 3777, 'spaghetti': 3778, 'sparse': 3779, 'sparsely': 3780, 'speaking': 3781, 'specialty': 3782, 'specifically': 3783, 'specify': 3784, 'specjal': 3785, 'spices': 3786, 'spicing': 3787, 'spicy-': 3788, 'spilled': 3789, 'spoiled': 3790, 'spoke': 3791, 'spots': 3792, 'sq': 3793, 'squash': 3794, 'squeeze': 3795, 'stacks': 3796, 'staffs': 3797, 'stagnating': 3798, 'stale': 3799, 'stalling': 3800, 'starts': 3801, 'starving': 3802, 'state': 3803, 'stated': 3804, 'stauff': 3805, 'stays': 3806, 'steaks': 3807, 'steal': 3808, 'steamy': 3809, 'steep': 3810, 'step': 3811, 'sterling': 3812, 'steven': 3813, 'stike': 3814, 'stir': 3815, 'stock': 3816, 'stocked': 3817, 'stood': 3818, 'stopping': 3819, 'stops': 3820, 'store': 3821, 'story': 3822, 'strawberry': 3823, 'strayed': 3824, 'streets': 3825, 'stressed': 3826, 'strict': 3827, 'strikes': 3828, 'stringy': 3829, 'striped': 3830, 'strips': 3831, 'strokes': 3832, 'strollers': 3833, 'strong': 3834, 'stuck': 3835, 'student': 3836, 'stuffed': 3837, 'stuffy': 3838, 'styles': 3839, 'stylish': 3840, 'subtle': 3841, 'succulent': 3842, 'sufficient': 3843, 'suggestion': 3844, 'suits': 3845, 'sunglasses': 3846, 'sunken': 3847, 'sunset': 3848, 'supplied': 3849, 'support': 3850, 'supreme': 3851, 'suprisingly': 3852, 'surely': 3853, 'surface': 3854, 'surrounding': 3855, 'susans': 3856, 'sushimi': 3857, 'suspect': 3858, 'sutton': 3859, 'swinging': 3860, 'swirl': 3861, 'system': 3862, 't': 3863, 'tagliatelle': 3864, 'tai': 3865, 'taipei': 3866, 'taiwan': 3867, 'takeaway': 3868, 'tal': 3869, 'tamari': 3870, 'tao': 3871, 'tap': 3872, 'tartar': 3873, 'tarte': 3874, 'tasts': 3875, 'tatin': 3876, 'tatsu': 3877, 'tear': 3878, 'tee': 3879, 'teenage': 3880, 'teens': 3881, 'telling': 3882, 'temperatures': 3883, 'ten': 3884, 'tends': 3885, 'teodora': 3886, 'term': 3887, 'terminal': 3888, 'terribly': 3889, 'terrine': 3890, 'test': 3891, 'texture': 3892, 'th': 3893, 'thanked': 3894, 'thawed': 3895, 'theme': 3896, 'thia': 3897, 'thinner': 3898, 'thirsty': 3899, 'thirty': 3900, 'thius': 3901, 'though-': 3902, 'thougt': 3903, 'thouroughly': 3904, 'thr': 3905, 'thrill': 3906, 'thrilled': 3907, 'thrown': 3908, 'thumbs': 3909, 'thursday': 3910, 'thus': 3911, 'tiem': 3912, 'tight': 3913, 'tiled': 3914, 'times-': 3915, 'tips': 3916, 'tired': 3917, 'toasted': 3918, 'toasting': 3919, 'today': 3920, 'tom': 3921, 'tomorrow': 3922, 'tone': 3923, 'tonino': 3924, 'toninos': 3925, 'topped': 3926, 'tortelini': 3927, 'tower': 3928, 'town-': 3929, 'track': 3930, 'tracks': 3931, 'tradional': 3932, 'tramezzinis': 3933, 'translation': 3934, 'translucent': 3935, 'trap': 3936, 'trattoria': 3937, 'treasure': 3938, 'treats': 3939, 'treked': 3940, 'triple': 3941, 'tristate': 3942, 'trout': 3943, 'truth': 3944, 'tupperware': 3945, 'turkey': 3946, 'tuscan': 3947, 'typhoon': 3948, 'udon': 3949, 'ugg': 3950, 'ultra': 3951, 'unappreciative': 3952, 'unattractive': 3953, 'unbearably': 3954, 'unbeliavably': 3955, 'unconventional': 3956, 'unda': 3957, 'underdeserving': 3958, 'underrated': 3959, 'uneven': 3960, 'unforgetable': 3961, 'uni': 3962, 'uniformly': 3963, 'unintentional': 3964, 'union': 3965, 'unisex': 3966, 'university': 3967, 'unkempt': 3968, 'unnecessarily': 3969, 'unnecessary': 3970, 'unobtrusive': 3971, 'unpleasant': 3972, 'unprofessional': 3973, 'unsurpassed': 3974, 'untasteful': 3975, 'unusually': 3976, 'unwanted': 3977, 'unwelcome': 3978, 'ups': 3979, 'upscale': 3980, 'upstate': 3981, 'uptown': 3982, 'usha': 3983, 'usher': 3984, 'utsav': 3985, 'valentine': 3986, 'valentines': 3987, 'varieties': 3988, 'varietys': 3989, 'vegetarians': 3990, 'venues': 3991, 'version': 3992, 'vessel': 3993, 'veyr': 3994, 'vibrant': 3995, 'vinegar': 3996, 'vintage': 3997, 'visitor': 3998, 'vittorio': 3999, 'voluminous': 4000, 'vomit': 4001, 'vow': 4002, 'vs.': 4003, 'wagner': 4004, 'waitressing': 4005, 'wake': 4006, 'walnuts': 4007, 'waltzes': 4008, 'wand': 4009, 'wandered': 4010, 'wannabes': 4011, 'warehouse': 4012, 'warhol': 4013, 'warmed': 4014, 'warmer': 4015, 'warming': 4016, 'warned': 4017, 'warrant': 4018, 'wary': 4019, 'wasabe': 4020, 'wasabi': 4021, 'wash': 4022, 'wasteland': 4023, 'wasting': 4024, 'watch': 4025, 'waterbug': 4026, 'waterbugs': 4027, 'watering': 4028, 'waters': 4029, 'waving': 4030, 'weak': 4031, 'wearing': 4032, 'web': 4033, 'weehawken': 4034, 'weekday': 4035, 'welcomed': 4036, 'wheat': 4037, 'whem': 4038, 'whining': 4039, 'whip': 4040, 'whipped': 4041, 'whoever': 4042, 'wide': 4043, 'wind': 4044, 'windows': 4045, 'winnie': 4046, 'winning': 4047, 'wins': 4048, 'winter': 4049, 'wintermelon': 4050, 'wipe': 4051, 'wished': 4052, 'within': 4053, 'wondered': 4054, 'wonderfully': 4055, 'wondering': 4056, 'wontons': 4057, 'wooden': 4058, 'words': 4059, 'worthwhile': 4060, 'wrap': 4061, 'wu': 4062, 'x4': 4063, 'xcept': 4064, 'yankees': 4065, 'yasuda': 4066, 'ye': 4067, 'yellowfun': 4068, 'yellowtail': 4069, 'yokocho': 4070, 'yonah': 4071, 'yonkers': 4072, 'yorkie': 4073, 'yoshi': 4074, 'you-': 4075, 'yr': 4076, 'yrs': 4077, 'yuck': 4078, 'yucky': 4079, 'yum': 4080, 'yuzu': 4081, 'zen': 4082, 'zero': 4083})\n"
     ]
    }
   ],
   "source": [
    "print(REVIEW.vocab.stoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<function _default_unk_index at 0x11c87e840>, {'1': 0, '-1': 1, '0': 2})\n",
      "defaultdict(<function _default_unk_index at 0x11c87e840>, {'<unk>': 0, '<pad>': 1, 'food': 2, 'miscellaneous': 3, 'service': 4, 'ambience': 5, 'price': 6})\n"
     ]
    }
   ],
   "source": [
    "print(POLARITY.vocab.stoi)\n",
    "print(ASPECT.vocab.stoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_iterator, valid_iterator, test_iterator = data.BucketIterator.splits(\n",
    "    (train_data, valid_data, test_data), \n",
    "    batch_size = 32,\n",
    "    sort_within_batch = False,\n",
    "    device = device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train:\n",
      "tensor([[ 102,   22,   30,  ...,    2, 3208,  150],\n",
      "        [1770,   12,  308,  ...,  628, 3484,   53],\n",
      "        [  26,    6,  546,  ...,    7, 3501,   67],\n",
      "        ...,\n",
      "        [   1,    1,    1,  ...,    1,    1,    1],\n",
      "        [   1,    1,    1,  ...,    1,    1,    1],\n",
      "        [   1,    1,    1,  ...,    1,    1,    1]])\n",
      "tensor([[4, 5, 2,  ..., 2, 2, 5],\n",
      "        [4, 5, 2,  ..., 2, 2, 5],\n",
      "        [4, 5, 2,  ..., 2, 2, 5],\n",
      "        ...,\n",
      "        [4, 5, 2,  ..., 2, 2, 5],\n",
      "        [4, 5, 2,  ..., 2, 2, 5],\n",
      "        [4, 5, 2,  ..., 2, 2, 5]])\n"
     ]
    }
   ],
   "source": [
    "print('Train:')\n",
    "for batch in train_iterator:\n",
    "    x, x_seq_len = batch.review\n",
    "    aspect = batch.aspect\n",
    "    aspect = torch.LongTensor(np.tile(aspect, (x.size(0), 1)))\n",
    "    self.embedding = nn.Embedding()\n",
    "        # wordlist的单词索引从1开始，将0设为pad的索引，该 pad vector 全为0\n",
    "        self.embedding.padding_idx = 0\n",
    "        # aspect一共五个词，创建一个5个单词表的embedding，通过target_index得到aspect vector\n",
    "        # {'price': 0, 'service': 1, 'miscellaneous': 2, 'ambience': 3, 'food': 4}\n",
    "        self.aspect_embedding =nn.Embedding.from_pretrained(self.Va, freeze=False)\n",
    "    break\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "import time\n",
    "import torch.random\n",
    "import numpy as np\n",
    "from torch.nn.utils.rnn import pack_padded_sequence\n",
    "\n",
    "class AttentionLstm(nn.Module):\n",
    "    def __init__(self, vocab_size,aspect_num, embedding_dim, hidden_dim, aspect_dim, output_dim, n_layers,\n",
    "                bidirectional, dropout, pad_idx):\n",
    "        super(AttentionLstm, self).__init__()\n",
    "        self.model_name = 'atae-lstm'\n",
    "        self.embedding = nn.Embedding(vocab_size, embedding_dim, padding_idx = pad_idx)\n",
    "        self.aspect_embedding = nn.Embedding(aspect_num+2, aspect_dim)\n",
    "        self.aspect_dim = aspect_dim\n",
    "        # 输入是 aspect vector 和 word vector 堆起来的\n",
    "        self.lstm = nn.LSTM(embedding_dim+aspect_dim, \n",
    "                            hidden_dim,\n",
    "                           num_layers=n_layers,\n",
    "                           bidirectional=bidirectional,\n",
    "                           dropout=dropout)\n",
    "        # 情感细粒度\n",
    "        self.grained = 3\n",
    "        # dropout参数\n",
    "        self.dropout = nn.Dropout(dropout)\n",
    "        \n",
    "\n",
    "        # 给 lstm 传的 input 是 PackedSequence 实例,\n",
    "        # 他可以通过把 batch 的 sequence 输给 pack_padded_sequence()函数，然后返回一个 PackedSequence 实例\n",
    "        # pack_padded_sequence() 接受 input, length，\n",
    "        # input can be of size T x B x * where T is the length of the longest sequence\n",
    "        # 对长度未排序的 sequences , 设定enforce_sorted = False.\n",
    "        # 如果 enforce_sorted = True, 这一个 batch 的 sequences 应该按序列长度降序\n",
    "        # 然后把 PackedSequence 给 lstm，它就能返回所有时间步上的 hidden 了，\n",
    "        # 所以就可以把它们堆起来，得到论文里的所有 hidden 组成的 H\n",
    "        u = lambda x : 1 / np.sqrt(x)\n",
    "        self.Ws = nn.Parameter(torch.rand((aspect_num, hidden_dim)).uniform_(-u(hidden_dim), u(hidden_dim)))\n",
    "        self.bs = nn.Parameter(torch.zeros((aspect_num, 1)))\n",
    "        self.Wh = nn.Parameter(torch.rand((hidden_dim, hidden_dim)).uniform_(-u(hidden_dim), u(hidden_dim)))\n",
    "        self.Wv = nn.Parameter(torch.rand((aspect_dim, aspect_dim)).uniform_(-u(hidden_dim), u(hidden_dim)))\n",
    "        self.w = nn.Parameter(torch.zeros((hidden_dim+aspect_dim, 1)))\n",
    "        self.Wp = nn.Parameter(torch.rand((hidden_dim, hidden_dim)).uniform_(-u(hidden_dim), u(hidden_dim)))\n",
    "        self.Wx = nn.Parameter(torch.rand((hidden_dim, hidden_dim)).uniform_(-u(hidden_dim), u(hidden_dim)))\n",
    "\n",
    "#         self.Va = torch.rand((aspect_dim, aspect_dim)).uniform_(-0.01, 0.01)\n",
    "#         self.Vw = torch.rand((self.num, embedding_dim)).uniform_(-0.01, 0.01)\n",
    "#         self.load_word_vector(self.word_vector, self.wordlist)\n",
    "\n",
    "#         self.embedding = nn.Embedding.from_pretrained(self.Vw, freeze=False)\n",
    "        # wordlist的单词索引从1开始，将0设为pad的索引，该 pad vector 全为0\n",
    "#         self.embedding.padding_idx = 0\n",
    "        # aspect一共五个词，创建一个5个单词表的embedding，通过target_index得到aspect vector\n",
    "        # {'price': 0, 'service': 1, 'miscellaneous': 2, 'ambience': 3, 'food': 4}\n",
    "#         self.aspect_embedding =nn.Embedding.from_pretrained(self.Va, freeze=False)\n",
    "        self.params = nn.ParameterList([self.Wv, self.Wh, self.Ws, self.bs, self.w, self.Wp, self.Wx])\n",
    "\n",
    "\n",
    "    def forward(self, x, x_len, aspect):\n",
    "        # x size = (N, 1, 300)  即 time_step * batch_size * dim_word\n",
    "        x = self.embedding(x)\n",
    "        aspect = torch.LongTensor(np.tile(aspect, (x.size(0), 1)))\n",
    "        aspect = self.aspect_embedding(aspect)\n",
    "        x_len, indices = torch.sort(x_len, descending=True)\n",
    "        x = x[:, indices]\n",
    "        aspect = aspect[:, indices]\n",
    "        x = torch.cat((x, aspect), dim=2)\n",
    "\n",
    "        x = pack_padded_sequence(x, x_len)\n",
    "        \n",
    "#         packed_seqs = pack_padded_sequence(lstm_input, lengths=x_len)\n",
    "        output, (h_n, c_n) = self.lstm(x)\n",
    "        # H.size = (300, N)\n",
    "        H = torch.t(output.data)\n",
    "        # h_n size = (300, 1)\n",
    "        h_n = h_n.view(300, -1)\n",
    "        # Wh_H.size = (300, N)\n",
    "        Wh_H = torch.matmul(self.Wh, H)\n",
    "        # Wv_a.size = (100, N)\n",
    "        Wv_a = torch.matmul(self.Wv, aspect.view(self.aspect_dim, -1))\n",
    "        # M.size = (400, N)\n",
    "        M = torch.tanh(torch.cat((Wh_H, Wv_a), dim=0))\n",
    "        # alpha.size = (1, N)\n",
    "        alpha = F.softmax(torch.matmul(torch.t(self.w), M), dim=1)\n",
    "        # r.size = (300, 1)\n",
    "        r = torch.matmul(H, torch.t(alpha))\n",
    "        Wp_r = torch.matmul(self.Wp, r)\n",
    "        Wx_h = torch.matmul(self.Wx, h_n)\n",
    "        # h_star.size = (300, 1)\n",
    "        h_star = torch.tanh(Wp_r + Wx_h)\n",
    "\n",
    "        h_star = self.dropout(h_star)\n",
    "\n",
    "        # y.size = (self.grained, 1)\n",
    "        y = F.softmax(torch.matmul(self.Ws, h_star) + self.bs, dim=0)\n",
    "        return torch.t(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [],
   "source": [
    "INPUT_DIM = len(REVIEW.vocab)\n",
    "EMBEDDING_DIM = 300\n",
    "ASPECT_DIM = 300\n",
    "ASPECT_NUM = 5\n",
    "HIDDEN_DIM = 300\n",
    "OUTPUT_DIM = 3\n",
    "N_LAYERS = 1\n",
    "BIDIRECTIONAL = False\n",
    "DROPOUT = 0\n",
    "PAD_IDX = REVIEW.vocab.stoi[TEXT.pad_token]\n",
    "\n",
    "model = AttentionLstm(INPUT_DIM,\n",
    "            ASPECT_NUM,\n",
    "            EMBEDDING_DIM, \n",
    "            HIDDEN_DIM, \n",
    "            ASPECT_DIM,\n",
    "            OUTPUT_DIM, \n",
    "            N_LAYERS, \n",
    "            BIDIRECTIONAL, \n",
    "            DROPOUT, \n",
    "            PAD_IDX)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4084, 300])\n"
     ]
    }
   ],
   "source": [
    "pretrained_embeddings = REVIEW.vocab.vectors\n",
    "\n",
    "print(pretrained_embeddings.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[ 0.0000,  0.0000,  0.0000,  ...,  0.0000,  0.0000,  0.0000],\n",
       "        [ 0.0000,  0.0000,  0.0000,  ...,  0.0000,  0.0000,  0.0000],\n",
       "        [ 0.0466,  0.2132, -0.0074,  ...,  0.0091, -0.2099,  0.0539],\n",
       "        ...,\n",
       "        [ 0.2215,  0.2320,  0.4953,  ...,  0.1988,  0.0092, -0.3601],\n",
       "        [-0.0189, -0.5264, -0.1337,  ...,  0.6352, -0.2163, -0.5310],\n",
       "        [-0.3967,  0.2623, -0.0905,  ...,  0.2497, -0.1803, -0.0729]])"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.embedding.weight.data.copy_(pretrained_embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.optim as optim\n",
    "\n",
    "optimizer = optim.Adam(model.parameters())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()\n",
    "\n",
    "model = model.to(device)\n",
    "criterion = criterion.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model, iterator, optimizer, criterion):\n",
    "    \n",
    "    epoch_loss = 0\n",
    "    epoch_acc = 0\n",
    "    \n",
    "    model.train()\n",
    "    \n",
    "    for batch in iterator:\n",
    "        \n",
    "        optimizer.zero_grad()\n",
    "        \n",
    "        review, review_lengths = batch.review\n",
    "        \n",
    "        aspect = batch.aspect\n",
    "        \n",
    "        predictions = model(review, review_lengths, aspect).squeeze(1)\n",
    "        \n",
    "        loss = criterion(predictions, batch.polarity)\n",
    "        \n",
    "#         acc = binary_accuracy(predictions, batch.label)\n",
    "        \n",
    "        loss.backward()\n",
    "        \n",
    "        optimizer.step()\n",
    "        \n",
    "        epoch_loss += loss.item()\n",
    "        epoch_acc += acc.item()\n",
    "        \n",
    "    return epoch_loss / len(iterator), epoch_acc / len(iterator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "invalid argument 0: Sizes of tensors must match except in dimension 0. Got 241 and 518 in dimension 1 at /Users/soumith/mc3build/conda-bld/pytorch_1549593514549/work/aten/src/TH/generic/THTensorMoreMath.cpp:1307",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-247-f1256680c875>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mstart_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m     \u001b[0mtrain_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_acc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_iterator\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;31m#     valid_loss, valid_acc = evaluate(model, valid_iterator, criterion)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-246-bd23c0e7fdc0>\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(model, iterator, optimizer, criterion)\u001b[0m\n\u001b[1;32m     14\u001b[0m         \u001b[0maspect\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maspect\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m         \u001b[0mpredictions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreview\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreview_lengths\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maspect\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpolarity\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    487\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    488\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 489\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    490\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    491\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-240-c707cbbfacbf>\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x, x_len, aspect)\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0mWv_a\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatmul\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maspect\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maspect_dim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m         \u001b[0;31m# M.size = (400, N)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m         \u001b[0mM\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtanh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mWh_H\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mWv_a\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     83\u001b[0m         \u001b[0;31m# alpha.size = (1, N)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     84\u001b[0m         \u001b[0malpha\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msoftmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatmul\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mM\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 241 and 518 in dimension 1 at /Users/soumith/mc3build/conda-bld/pytorch_1549593514549/work/aten/src/TH/generic/THTensorMoreMath.cpp:1307"
     ]
    }
   ],
   "source": [
    "N_EPOCHS = 5\n",
    "\n",
    "best_valid_loss = float('inf')\n",
    "\n",
    "for epoch in range(N_EPOCHS):\n",
    "\n",
    "    start_time = time.time()\n",
    "    \n",
    "    train_loss, train_acc = train(model, train_iterator, optimizer, criterion)\n",
    "#     valid_loss, valid_acc = evaluate(model, valid_iterator, criterion)\n",
    "    \n",
    "    end_time = time.time()\n",
    "\n",
    "#     epoch_mins, epoch_secs = epoch_time(start_time, end_time)\n",
    "    \n",
    "#     if valid_loss < best_valid_loss:\n",
    "#         best_valid_loss = valid_loss\n",
    "#         torch.save(model.state_dict(), 'tut2-model.pt')\n",
    "    \n",
    "#     print(f'Epoch: {epoch+1:02} | Epoch Time: {epoch_mins}m {epoch_secs}s')\n",
    "    print(f'\\tTrain Loss: {train_loss:.3f} | Train Acc: {train_acc*100:.2f}%')\n",
    "#     print(f'\\t Val. Loss: {valid_loss:.3f} |  Val. Acc: {valid_acc*100:.2f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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