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48310, "Reference": 45963, "References": 49379, "Reg": 23007, "Regarding": 44401, "Regardless": 38861, "Region": 43575, "Register": 44539, "Registered": 46864, "Registration": 45366, "Regular": 46309, "Reilly": 16626, "Rel": 29806, "Related": 22816, "Relations": 45651, "Release": 45036, "Released": 47256, "Reloaded": 49718, "Rem": 31157, "Remember": 28669, "Remote": 46866, "Remove": 47583, "Removed": 49699, "Ren": 34837, "Render": 48440, "Rep": 22026, "Repe": 34053, "Repeat": 45764, "Repl": 47493, "Reply": 49084, "Report": 20697, "Reporting": 1670, "Reports": 32339, "Represent": 28588, "Republic": 35663, "Republican": 33364, "Republicans": 39044, "Requ": 47090, "Request": 45589, "Required": 49068, "Requirements": 49269, "Requires": 49134, "Res": 20028, "Research": 27004, "Researchers": 40450, "Residents": 35129, "Resource": 47279, "Resources": 47057, "Resp": 44036, "Response": 47806, "Rest": 31921, "Result": 48136, "Results": 41981, "Ret": 27814, "Return": 42555, "Returns": 48826, "Reuters": 1251, "Rev": 38494, "Review": 32773, "Reviewed": 49408, "Reviewer": 48922, "Revolution": 45983, "Rew": 46176, "Reward": 48517, "Rex": 39712, "Rh": 38067, "Rich": 28295, "Richard": 27845, "Rick": 30250, "Right": 13984, "Ring": 41957, "River": 32960, "Ro": 27110, "Road": 32009, "Roaming": 49114, "Rob": 18776, "Rober": 46496, "Robert": 25244, "Roberts": 42178, "Robin": 43185, "Rock": 10448, "Rocket": 42913, "Rod": 30055, "Rog": 43517, "Roger": 39130, "Rogue": 44495, "Role": 47613, "Roll": 35436, "Rom": 38184, "Roman": 38962, "Romney": 47550, "Ron": 27674, "Room": 41136, "Root": 46606, "Ros": 36354, "Rose": 24940, "Ross": 35978, "Rot": 44497, "Round": 41061, "Route": 43929, "Row": 43277, "Roy": 20512, "Royal": 30394, "Rs": 18591, "Ru": 36439, "Rub": 40821, "Ruby": 46725, "Rule": 47181, "Rules": 46916, "Rum": 40277, "Run": 33177, "Runner": 45163, "Running": 42900, "Runtime": 49779, "Rus": 44867, "Rush": 45237, "Russ": 42931, "Russell": 40575, "Russia": 15685, "Russian": 14836, "Rust": 46541, "Ry": 43031, "Ryan": 23287, "S": 104, "SA": 3603, "SAM": 45159, "SAN": 9300, "SAY": 46937, "SB": 12380, "SC": 3632, "SCP": 48091, "SD": 6243, "SE": 3388, "SEA": 40111, "SEC": 21536, "SEE": 32739, "SELECT": 49179, "SER": 41877, "SET": 45099, "SETSUMBT_ONTOLOGY": { "alarm": { "alarm_name": { "dataset_names": [ "sgd" ], "description": "Name of the alarm", "possible_values": [] }, "alarm_time": { "dataset_names": [ "sgd" ], "description": "Time of the alarm", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "new_alarm_name": { "dataset_names": [ "sgd" ], "description": "Name to use for the new alarm", "possible_values": [ "none", "do not care", "Cleaning", "Cooking", "Grocery Run", "Grocery run", "Leave For Home", "Leave for Home", "Leave for home", "Music PRactice", "Music Practice", "Music practice", "New Alarm", "New alarm", "Phone Home", "Phone home", "cleaning", "cooking", "grocery run", "leave for home", "music practice", "new alarm", "phone home" ] }, "new_alarm_time": { "dataset_names": [ "sgd" ], "description": "Time to set for the new alarm", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] } }, "banks": { "account_balance": { "dataset_names": [ "sgd" ], "description": "The balance in the specified account", "possible_values": [] }, "account_type": { "dataset_names": [ "sgd", "sgd" ], "description": "The account type of the user", "possible_values": [ "none", "do not care", "checking", "savings" ] }, "amount": { "dataset_names": [ "sgd" ], "description": "The amount of money to transfer", "possible_values": [ "none", "do not care", "$1,000", "$1,010", "$1,020", "$1,030", "$1,050", "$1,060", "$1,090", "$1,100", "$1,110", "$1,120", "$1,130", "$1,140", "$1,160", "$1,180", "$1,190", "$1,200", "$1,210", "$1,240", "$1,250", "$1,260", "$1,280", "$1,290", "$1,300", "$1,310", "$1,320", "$1,330", "$1,340", "$1,350", "$1,370", "$1,400", "$1,420", "$1,430", "$1,440", "$1,450", "$1,460", "$1,470", "$1,480", "$1,490", "$1,500", "$1,510", "$1,520", "$1,530", "$1,540", "$1,550", "$1,570", "$1,580", "$1,590", "$1,600", "$1,610", "$1,620", "$1,630", "$1,650", "$1,670", "$1,700", "$1,710", "$1,720", "$1,730", "$1,740", "$1,760", "$1,770", "$1,780", "$1,790", "$100", "$1020", "$110", "$1120", "$1140", "$1150", "$120", "$1200", "$1220", "$1260", "$130", "$1350", "$140", "$1420", "$1440", "$1470", "$1490", "$150", "$1510", "$1520", "$1530", "$1550", "$1670", "$170", "$1720", "$1730", "$1750", "$1770", "$1780", "$180", "$190", "$20", "$210", "$220", "$230", "$240", "$260", "$270", "$30", "$300", "$310", "$320", "$340", "$350", "$370", "$380", "$390", "$40", "$400", "$420", "$430", "$440", "$450", "$460", "$480", "$490", "$50", "$500", "$520", "$530", "$540", "$550", "$560", "$570", "$580", "$590", "$600", "$610", "$630", "$640", "$650", "$660", "$680", "$690", "$720", "$730", "$740", "$760", "$770", "$780", "$80", "$800", "$810", "$820", "$830", "$840", "$850", "$860", "$870", "$880", "$890", "$90", "$910", "$920", "$930", "$950", "$970", "$980", "$990", "1,000 bucks", "1,010 dollars", "1,020 dollars", "1,050 bucks", "1,060 bucks", "1,090 bucks", "1,120 bucks", "1,160 bucks", "1,180 bucks", "1,240 bucks", "1,280 dollars", "1,320 bucks", "1,340 dollars", "1,420 bucks", "1,440 dollars", "1,450 bucks", "1,460 bucks", "1,480 dollars", "1,490 bucks", "1,500 dollars", "1,510 dollars", "1,530 dollars", "1,550 dollars", "1,570 bucks", "1,590 dollars", "1,630 bucks", "1,650 bucks", "1,650 dollars", "1,700 bucks", "1,710 dollars", "1,730 bucks", "1,730 dollars", "1,740 dollars", "1,770 dollars", "1,780 bucks", "1,790 bucks", "100 bucks", "100 dollars", "1010 dollars", "1020 bucks", "1030 dollars", "1050 dollars", "1060 dollars", "110 bucks", "110 dollars", "1100 dollars", "1110 bucks", "1110 dollars", "1120 dollars", "1130 dollars", "1150 dollars", "120 bucks", "1200 dollars", "1210 bucks", "1250 bucks", "1260 dollars", "1280 bucks", "1280 dollars", "130 dollars", "1310 bucks", "1320 dollars", "140 dollars", "1420 dollars", "1490 bucks", "150 dollars", "1510 bucks", "1530 bucks", "1530 dollars", "1540 bucks", "1550 bucks", "1580 bucks", "1620 dollars", "1630 bucks", "1650 dollars", "170 dollars", "1710 dollars", "1730 dollars", "1740 dollars", "1750 dollars", "1770 bucks", "1770 dollars", "1780 dollars", "20 bucks", "220 dollars", "230 dollars", "240 bucks", "30 dollars", "300 bucks", "310 bucks", "320 bucks", "340 dollars", "350 bucks", "350 dollars", "370 bucks", "370 dollars", "380 dollars", "40 dollars", "400 bucks", "420 bucks", "430 dollars", "440 dollars", "450 bucks", "450 dollars", "460 bucks", "480 bucks", "490 dollars", "50 bucks", "500 bucks", "520 dollars", "530 dollars", "540 dollars", "550 dollars", "570 dollars", "580 dollars", "590 bucks", "590 dollars", "600 bucks", "640 dollars", "650 bucks", "720 bucks", "720 dollars", "730 dollars", "740 bucks", "760 bucks", "800 dollars", "820 bucks", "820 dollars", "850 bucks", "850 dollars", "860 bucks", "870 dollars", "880 bucks", "910 dollars", "930 dollars", "950 dollars", "960 dollars", "970 dollars", "980 bucks", "980 dollars", "990 bucks", "990 dollars", "Eight hundred and ninety bucks", "Forty Bucks", "One thousand one hundred dollars", "One thousand two hundred and forty bucks", "Six hundred and fifty dollars", "eight hundred and sixty dollars", "eight hundred and ten dollars", "eight hundred dollars", "eighty bucks", "fifty bucks", "five hundred and sixty dollars", "five hundred and thirty dollars", "five hundred dollars", "four hundred and forty dollars", "four hundred and ninety dollars", "four hundred and sixty dollars", "four hundred and thirty bucks", "four hundred and twenty bucks", "nine hundred and eighty dollars", "nine hundred and fifty bucks", "nine hundred and fifty dollars", "nine hundred and twenty dollars", "ninety bucks", "one hundred and eighty bucks", "one hundred and fifty dollars", "one hundred and forty dollars", "one hundred and ninety bucks", "one hundred and seventy bucks", "one hundred and ten bucks", "one thousand five hundred bucks", "one thousand five hundred dollars", "one thousand four hundred and eighty dollars", "one thousand four hundred and thirty bucks", "one thousand four hundred bucks", "one thousand one hundred and forty dollars", "one thousand one hundred and ninety dollars", "one thousand one hundred and sixty bucks", "one thousand one hundred and twenty bucks", "one thousand seven hundred and eighty dollars", "one thousand seven hundred and sixty dollars", "one thousand seven hundred and thirty bucks", "one thousand seven hundred and thirty dollars", "one thousand seven hundred and twenty dollars", "one thousand six hundred and sixty bucks", "one thousand six hundred and twenty bucks", "one thousand six hundred dollars", "one thousand sixty dollars", "one thousand three hundred and seventy dollars", "one thousand three hundred and twenty bucks", "one thousand two hundred and forty dollars", "one thousand two hundred and twenty bucks", "one thousand two hundred dollars", "seven hundred and forty bucks", "seven hundred and twenty dollars", "six hundred and forty bucks", "six hundred and sixty dollars", "six hundred and ten dollars", "three hundred and seventy bucks", "three hundred and ten bucks", "three hundred bucks", "three hundred dollars", "two hundred and forty dollars", "two hundred and seventy dollars" ] }, "balance": { "dataset_names": [ "sgd" ], "description": "The amount of money held in a bank account at a given time", "possible_values": [] }, "count": { "dataset_names": [ "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "recipient_account_name": { "dataset_names": [ "sgd" ], "description": "The account name of the recipient who is to receive the transfered money", "possible_values": [ "none", "do not care", "AMir", "Abhinav", "Amir", "Amy", "Bob", "Jerry", "Maria", "Peter", "Pranav", "Rachel", "Raghav", "Sanuj", "Srinivas", "Tom", "XiaoXue", "Xiaoxue", "abhinav", "amy", "bob", "jerry", "peter", "raghav", "sanuj", "tom", "xiaoxue" ] }, "recipient_account_type": { "dataset_names": [ "sgd", "sgd" ], "description": "The account type of the recipient whom the user is transfering money to", "possible_values": [ "none", "do not care", "checking", "savings" ] }, "recipient_name": { "dataset_names": [ "sgd" ], "description": "The name of the recipient to transfer the money to", "possible_values": [ "none", "do not care", "Aunt Jenny", "Dad", "Diego", "Grace", "JUstin", "Jasbir", "Justin", "Kagiso", "Khadija", "Li", "Mahmoud", "Mom", "Philip", "Svetlana", "Uncle Richard", "Yumi", "aunt Jenny", "dad", "grace", "jasbir", "justin", "mahmoud", "mom", "philip", "uncle Richard" ] }, "transfer_amount": { "dataset_names": [ "sgd" ], "description": "The amount of money to transfer", "possible_values": [ "none", "do not care", "$1,010", "$1,020", "$1,030", "$1,060", "$1,100", "$1,110", "$1,120", "$1,130", "$1,140", "$1,150", "$1,170", "$1,180", "$1,190", "$1,200", "$1,210", "$1,220", "$1,250", "$1,280", "$1,290", "$1,300", "$1,310", "$1,330", "$1,340", "$1,360", "$1,380", "$1,390", "$1,400", "$1,410", "$1,420", "$1,430", "$1,440", "$1,450", "$1,470", "$1,490", "$1,540", "$1,560", "$1,570", "$1,580", "$1,630", "$1,640", "$1,670", "$1,680", "$1,700", "$1,720", "$1,750", "$1,760", "$1,780", "$1,790", "$1,800", "$100", "$1030", "$1170", "$1180", "$120", "$1200", "$1290", "$140", "$150", "$1530", "$160", "$1600", "$170", "$180", "$20", "$210", "$260", "$270", "$30", "$310", "$320", "$350", "$360", "$370", "$380", "$400", "$420", "$430", "$460", "$470", "$480", "$50", "$500", "$520", "$530", "$550", "$570", "$590", "$60", "$600", "$610", "$670", "$690", "$70", "$700", "$710", "$720", "$730", "$770", "$780", "$80", "$850", "$890", "$900", "$990", "1,030 dollars", "1,060 bucks", "1,110 bucks", "1,130 bucks", "1,150 bucks", "1,170 dollars", "1,280 dollars", "1,390 dollars", "1,400 bucks", "1,410 dollars", "1,420 dollars", "1,430 bucks", "1,450 dollars", "1,470 bucks", "1,490 bucks", "1,540 dollars", "1,560 bucks", "1,640 dollars", "1,700 dollars", "1,790 bucks", "1,790 dollars", "1,800 bucks", "100 dollars", "1110 dollars", "1130 dollars", "1190 bucks", "1200 bucks", "1220 dollars", "1250 dollars", "1310 bucks", "1360 dollars", "1400 bucks", "1440 dollars", "150 dollars", "1530 bucks", "1560 bucks", "1570 dollars", "160 dollars", "1600 dollars", "1610 bucks", "1630 dollars", "1670 dollars", "170 bucks", "1720 bucks", "1780 bucks", "1790 bucks", "180 dollars", "20 bucks", "210 bucks", "260 bucks", "270 bucks", "30 dollars", "310 bucks", "370 dollars", "430 bucks", "460 dollars", "470 bucks", "480 dollars", "50 bucks", "500 dollars", "550 bucks", "570 bucks", "610 dollars", "670 bucks", "700 dollars", "710 dollars", "720 dollars", "780 dollars", "80 bucks", "850 dollars", "890 bucks", "900 dollars", "990 bucks", "five hundred and thirty dollars", "five hundred and twenty bucks", "nine hundred bucks", "one hundred and eighty dollars", "one hundred and forty dollars", "one hundred and twenty bucks", "one thousand five hundred and eighty dollars", "one thousand four hundred and forty bucks", "one thousand four hundred and seventy bucks", "one thousand one hundred and fifty bucks", "one thousand one hundred and forty dollars", "one thousand one hundred dollars", "one thousand seven hundred and fifty bucks", "one thousand seven hundred and sixty bucks", "one thousand six hundred and eighty dollars", "one thousand three hundred and eighty bucks", "one thousand three hundred and eighty dollars", "one thousand three hundred and forty bucks", "one thousand three hundred and ten dollars", "one thousand three hundred and thirty dollars", "one thousand three hundred dollars", "one thousand twenty bucks", "one thousand two hundred and ninety bucks", "one thousand two hundred and ninety dollars", "one thousand two hundred dollars", "seven hundred and eighty bucks", "seven hundred and seventy bucks", "seventy dollars", "six hundred and ninety bucks", "six hundred bucks", "sixty dollars", "three hundred and twenty dollars" ] }, "transfer_time": { "dataset_names": [ "sgd" ], "description": "Number of days for the transfer to go through", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] } }, "bus": { "additional_luggage": { "dataset_names": [ "sgd" ], "description": "Whether to carry excess baggage in the bus", "possible_values": [ "none", "do not care", "False", "True" ] }, "category": { "dataset_names": [ "sgd" ], "description": "How many stops the route has", "possible_values": [ "none", "do not care", "direct", "one-stop", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "departure_date": { "dataset_names": [ "sgd", "sgd" ], "description": "Date of bus departure", "possible_values": [ "none", "do not care", "10th of March", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of this month", "14th of March", "14th of march", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "Later today", "MArch 1st", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Tuesday", "Next Wednesday", "Saturday this week", "Sunday this Week", "Sunday this week", "The 1st", "The 3rd", "This Saturday", "Thursday next week", "Today", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "later today", "march 11th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "saturday this week", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "this sunday", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "departure_time": { "dataset_names": [ "sgd", "sgd" ], "description": "Time of bus departure", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "destination": { "dataset_names": [ "sgd" ], "description": "Destination city for journey", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim, CA", "Fresno", "Fresno, CA", "Fresno, Ca", "LA", "LAX", "Las Vegas", "Las vegas", "Lax", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long beach", "Los Angeles", "NY", "NYC", "New York", "New York City", "New York city", "New york city", "Ny", "Philadelphia", "Philly", "Portland", "Portland, OR", "Portland, Or", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle WA", "Seattle, WA", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vegas", "Washington", "anaheim, ca", "fresno", "fresno, ca", "la", "las vegas", "lax", "long beach", "los angeles", "new york", "new york city", "ny", "nyc", "philadelphia", "philly", "portland", "portland, or", "sacramento", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, WA", "seattle, wa", "sf", "sfo", "vegas", "washington" ] }, "destination_station_name": { "dataset_names": [ "sgd" ], "description": "Name of the bus terminus at the destination", "possible_values": [ "?" ] }, "fare": { "dataset_names": [ "sgd" ], "description": "Fare per ticket for journey", "possible_values": [ "?" ] }, "fare_type": { "dataset_names": [ "sgd" ], "description": "Type of fare for the booking", "possible_values": [ "none", "do not care", "Economy", "Economy extra", "Flexible" ] }, "from_city": { "dataset_names": [ "sgd" ], "description": "The city to depart from", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim, CA", "Fresno", "Fresno, CA", "LA", "LAX", "Las Vegas", "Lax", "Long Beach", "Long Beach, CA", "Los Angeles", "NY", "NYC", "New York", "New York City", "Philadelphia", "Philly", "Portland", "Portland, OR", "Portland, Or", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Seattle, Wa", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "fresno", "la", "los angeles", "new york city", "philadelphia", "philly", "portland", "portland, OR", "sacramento, ca", "seattle", "seattle, WA", "seattle, wa", "vancouver", "vancouver, bc", "washington" ] }, "from_location": { "dataset_names": [ "sgd" ], "description": "City where bus is leaving from", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim CA", "Anaheim, CA", "Anaheim, Ca", "Fresno", "Fresno CA", "Fresno, CA", "Fresno, Ca", "LA", "LAX", "Las Vegas", "Las vegas", "Lax", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long Beach, Ca", "Long beach", "Long beach, CA", "Los Angeles", "NY", "NYC", "New York", "New York City", "PHilly", "Philadelphia", "Philly", "Portland", "Portland OR", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "Sacramento, Ca", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Vancouver", "Vancouver, BC", "Vancouver, Bc", "Vegas", "WAshington", "Washington", "anaheim", "anaheim CA", "anaheim, CA", "anaheim, ca", "fresno", "fresno, CA", "fresno, ca", "las vegas", "lax", "long beach", "long beach, CA", "long beach, ca", "los angeles", "new york", "nyc", "philadelphia", "philly", "portland", "portland, or", "sacramento", "sacramento CA", "sacramento, ca", "san diego", "san fran", "san francisco", "seattle", "seattle wa", "seattle, wa", "vancouver", "vancouver bc", "vancouver, bc", "vegas", "washington" ] }, "from_station": { "dataset_names": [ "sgd", "sgd" ], "description": "Station where bus is leaving from", "possible_values": [ "?" ] }, "group_size": { "dataset_names": [ "sgd" ], "description": "Size of group for the booking", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5" ] }, "leaving_date": { "dataset_names": [ "sgd" ], "description": "Date of bus leaving for journey", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of March", "14th of march", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 1st", "MArch 5th", "MArch 9th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Monday, next week", "Next Monday", "Next monday", "Saturday this week", "Sunday this week", "The 1st", "This Sunday", "Thursday next week", "Tuesday Next Week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "later today", "march 10th", "march 11th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "saturday this week", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "this sunday", "thursday next week", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "leaving_time": { "dataset_names": [ "sgd" ], "description": "Time of bus leaving for journey", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "num_passengers": { "dataset_names": [ "sgd" ], "description": "The number of tickets for the trip", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5" ] }, "origin": { "dataset_names": [ "sgd" ], "description": "Origin city for journey", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim, CA", "Anaheim, Ca", "Fresno", "Fresno, CA", "Fresno, Ca", "LA", "LAX", "LOng Beach", "Las Vegas", "Las vegas", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long Beach, Ca", "Long beach", "Long beach, CA", "Los ANgeles", "Los Angeles", "NY", "NYC", "New York", "New York City", "New york city", "Philadelphia", "Philly", "Portland", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "Sacramento, Ca", "Sacramento, ca", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Seattle, Wa", "Vancouver", "Vancouver, BC", "Vancouver, bc", "Vegas", "Washington", "anaheim", "anaheim, ca", "fresno", "fresno, CA", "fresno, ca", "la", "las vegas", "long beach", "long beach, ca", "los angeles", "nyc", "portland", "portland, or", "sacramento", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "sf", "sfo", "vancouver", "vancouver, bc", "vegas", "washington" ] }, "origin_station_name": { "dataset_names": [ "sgd" ], "description": "Name of the bus terminus at the origin", "possible_values": [ "?" ] }, "price": { "dataset_names": [ "sgd", "sgd" ], "description": "Price per ticket of the itinerary", "possible_values": [ "?" ] }, "to_city": { "dataset_names": [ "sgd" ], "description": "The destination city of the trip", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim, CA", "Fresno", "Fresno, CA", "Fresno, Ca", "LA", "LAX", "LOng Beach", "Las VEgas", "Las Vegas", "Long Beach", "Long Beach, CA", "Los Angeles", "NY", "NYC", "New York", "New York City", "New York city", "Philadelphia", "Philly", "Portland", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "San diego", "Seattle", "Seattle, WA", "Seattle, Wa", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "anaheim", "anaheim, ca", "la", "long beach", "ny", "nyc", "philadelphia", "portland", "portland, or", "san francisco", "seattle", "sfo", "vancouver, bc", "vegas", "washington" ] }, "to_location": { "dataset_names": [ "sgd" ], "description": "City where bus is going to", "possible_values": [ "none", "do not care", "Anaheim", "Anaheim CA", "Anaheim, CA", "Anaheim, Ca", "Fresno", "Fresno, CA", "Fresno, Ca", "LA", "LAX", "Las Vegas", "Las vegas", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long Beach, Ca", "Long beach", "Long beach, CA", "Los Angeles", "Los angeles", "NY", "NYC", "New York", "New York City", "New York city", "New york", "New york City", "Philadelphia", "Philly", "Portland", "Portland OR", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento CA", "Sacramento Ca", "Sacramento, CA", "Sacramento, Ca", "San DIego", "San Diego", "San Fran", "San Francisco", "San diego", "Seattle", "Seattle, WA", "Sf", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "anaheim", "anaheim, ca", "fresno", "fresno, ca", "la", "las vegas", "lax", "long beach", "long beach, CA", "long beach, ca", "los angeles", "new york", "new york city", "ny", "philadelphia", "portland", "portland, or", "sacramento", "sacramento, CA", "sacramento, ca", "san Francisco", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, wa", "sf", "vancouver", "vancouver, bc", "vegas", "washington" ] }, "to_station": { "dataset_names": [ "sgd", "sgd" ], "description": "Station where bus is going to", "possible_values": [ "?" ] }, "transfers": { "dataset_names": [ "sgd" ], "description": "Number of transfers in journey", "possible_values": [ "none", "do not care", "0", "1", "?" ] }, "travelers": { "dataset_names": [ "sgd" ], "description": "Number of travelers for journey", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5" ] } }, "calendar": { "available_end_time": { "dataset_names": [ "sgd" ], "description": "Ending time of available time slot", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "available_start_time": { "dataset_names": [ "sgd" ], "description": "Starting time of available time slot", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "event_date": { "dataset_names": [ "sgd" ], "description": "Date of event or for checking availability", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of March", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of march", "9th of this month", "Day after tomorrow", "Friday next week", "Later today", "MArch 10th", "MArch 14th", "MArch 1st", "MArch 2nd", "MArch 7th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Friday", "Next Monday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Saturday this week", "Sunday this week", "The 10th", "The 11th", "The 13th", "The 1st", "The 2nd", "The 3rd", "The 4th", "The 5th", "The 6th", "The 9th", "This Sunday", "Thursday next week", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next tuesday", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "thursday next week", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "event_location": { "dataset_names": [ "sgd" ], "description": "Location of event", "possible_values": [ "none", "do not care", "1 Camino Sobrante Ste 5", "1 EMbarcadero Center", "1 East 161 Street", "1 Embarcadero Center", "1 embarcadero center", "1, 4050 Dublin Boulevard", "100 North Wiget Lane Suite 270", "100 Summerfield Drive", "100 Washington Street", "1000 Canyon Village Circle", "1000 Kiely Boulevard", "1008 Laurel Street", "10095 Saich Way #2", "10101 North Wolfe Road", "1012 Oak Grove Avenue", "1015 Fitzuren Road #7", "1040 grant road #103", "1047 Lincoln Highway Suite 101", "1047 Lincoln Highway suite 101", "1047 lincoln highway suite 101", "1053 Cochrane Road Suite 140", "1055 East Evelyn Avenue", "1059 Reed Avenue", "1069 B Street", "1085 West El Camino Real Level 2", "109 Plaza Dr. Gateway Plaza Center", "1100 Market Street", "1100 Market street", "1100 Trancas Street #209", "1107 Porter Street", "1111 Southwest Broadway", "1115 Solano Avenue", "1118 4th Street", "112 South B Street", "115 Hartz Avenue", "1150 scott boulevard # a2", "1153 Valencia Street", "1155 San Pablo Avenue", "1195 Saranap Avenue # 14", "121 East 1st Street", "121 East Spain Street", "121 east spain street", "1234 West 7th Street", "125 Crescent Drive", "125 crescent drive", "127 Clement Street", "127 North McDowell Boulevard", "127 Throckmorton Avenue", "1270 Linford Lane", "1274 Benton Street", "1275 central boulevard", "128 El Cerrito Plz", "1282 Mattox Road", "1290 San Tomas Aquino Road", "1290 san tomas aquino road", "133 North Temple Drive", "1347 Main Street", "135 4th Street Suite 3000", "135 Acalanes Drive", "135 Freeway Drive", "135 North Santa Cruz Avenue", "1374 9th Avenue", "1375 Montecito Avenue", "1386 Fitzgerald Drive", "1400 A Street", "1429 Main Street", "1432 North Main street", "1447 Cedarwood Lane # A", "14475 South Bascom Avenue", "1449 Lombard Street", "145 peabody road", "14531 Big Basin Way", "1460 North Camino Alto", "1475 167th Avenue", "150 Sierra Drive", "1500 South Capitol Street Southeast", "1500 South capitol street southeast", "1500 Vista Club Circle", "1501 Solano Avenue", "1501 Trousdale Drive #2", "1510 Marina Vista", "1532 20th Street", "1532 20th street", "1535 Landess Avenue #143", "1546 Maurice Lane", "1546 Maurice lane", "1550 Gateway Boulevard", "15555 East 14th Street", "1580 Valencia Street #508", "1585 university avenue", "1599 Sanchez Street", "160 Wilford Lane", "1639 North California Boulevard", "1657 Willow Pass Road", "1688 Clayton Road", "1700 Coyote Point Drive", "1700 Promontory Lane", "1711 Detroit Avenue", "1711 detroit avenue", "1712 Meridian Avenue", "1722 First Street", "17251 Hesperian Boulevard", "1734 El Camino Real", "1754 Polk Street", "176 South Murphy Avenue", "1760 Polk Street", "17705 Hale Avenue", "17705 Hale Avenue A 5", "1775 Park Avenue", "1783 Second Street", "1785 san carlos ave # 3", "1801 Alemany Boulevard", "1811 Novato Blvd", "1875 South Bascom Avenue", "1880 Solano Avenue", "1890 Dover Avenue", "1894 Contra Costa Boulevard", "19 Panorama Drive", "19 panorama drive", "1900 Telegraph Avenue", "1919 Mount Diablo Boulevard", "1932 Oak Park Boulevard", "199 Aegean Way", "19920 Olivewood Street", "19972 Stanton Avenue", "20 East Main Street", "200 C Street", "200 Greenbriar Circle", "200 Jose Figueres Avenue #490", "200 South 3rd Street", "2000 Shoreline Loop", "2000 shoreline loop", "2018 Lombard Street", "2033 Camden Avenue # F3", "20353 Park Way", "20390 Lake Chabot Road", "2040 Ralston Avenue Ste B", "205 5th Street D", "205 Franklin Street", "2053 Broadway", "20688 Stevens Creek Boulevard", "2075 Lincoln Avenue # A", "210 Douglas Street # 100", "2100 Avy Avenue", "2100 Webster Street suite 214", "211 Quarry road", "211 quarry road", "21267 Stevens Creek Boulevard #200", "21275 stevens creek boulevard #510", "21314 San Ramon Valley Boulevard", "2149 Chestnut Street", "215 Bayview Street", "2190 Eastridge Loop", "2190 Eastridge loop", "221 University Avenue", "2211 Bush Street", "2211 Hastings Drive", "22185 Center Street # 59", "2220 First Street", "2227 Piedmont Avenue", "2274 Shattuck Avenue", "22800 Meridian Drive", "2290 California Street", "2293 Mission Street", "23 Ross Common Box 793", "2300 First Street #110", "2301 Camino Ramon", "2306 Almaden Road", "2306 almaden road", "2317 Central Avenue", "2317 Central avenue", "23240 California 1", "235 West 46th Street", "2355 Fairfield Avenue", "2367 Shattuck Avenue", "2380 Sutter Street", "23989 Watkins Street", "2400 Samaritan Drive #105", "2400 Shady Willow Lane", "2401 Waterman Boulevard", "24307 Southland Drive", "245 South Airport Boulevard", "24660 Amador Street", "2485 De LA Cruz Boulevard", "2485 De La Cruz Boulevard", "2490 First Street", "24901 Santa Clara Street #2", "24955 Cypress Avenue", "2500 Milvia street", "2500 milvia street", "2505 Samaritan Dr", "2508", "25100 Cypress Avenue", "2525 Sand Creek Road", "2575 California Street #90", "2605 Haste Street", "261 Driggs Avenue, Brooklyn", "2635 Ashby Avenue", "2664 Berryessa Road # 205", "2664 Berryessa Road # 206", "2664 Berryessa Road # 210", "2664 Berryessa Road # 212", "27 Union Square", "2700 Grant Street Suite 200", "2700 International Boulevard # 35", "275 Hawthorne Avenue", "275 Hawthorne avenue", "275 hawthorne avenue", "280 Baldwin Avenue", "280 Smith Ranch Road", "2826 Telegraph Avenue", "2855 Stevens Creek Boulevard Suite 2160", "2891 University Avenue", "2901 East Hastings Street", "2905 Grove Way", "2929, 2290 Sacramento Street", "293 Shasta Drive", "300 Hilary Way", "300 Timberhead Lane", "301 East 4th Avenue", "301 Hartz Avenue #105", "301 Old San Francisco Road Level 2", "301 Sycamore Valley Road", "301 hartz avenue #105", "3060 Kerner Boulevard", "31 Panoramic Way #201", "3111 Mission College Boulevard", "3111 mission college boulevard", "3117 16th st", "3119 Clement Street", "3119 Clement street", "3136 Contra Loma Boulevard", "3136 contra loma boulevard", "31755 Alvarado Boulevard", "3200 Klose Way", "329 Tennessee Street", "3290 Sacramento street", "3300 Webster Street #1200", "3300 webster Street #1200", "33306 Alvarado Niles Road", "34050 Westchester Terrace", "341 7th Street", "3434 Villa Lane D 160", "34348 Alvarado Niles Road", "344 East Hamilton Avenue", "3440 Hillcrest Avenue Suite 150", "3455 Homestead Road", "350 Gunter Lane", "350 Park Street", "350 Sharon Park Drive", "35144 Newark Boulevard", "3536 Mendocino Avenue #380", "3544 Balboa Street", "3550 San PablO Dam Road # A6", "36163 Fremont Boulevard", "3630 Balboa Street", "37149 Fremont Boulevard", "3770 Flora Vista Avenue", "3775 El Camino Real", "3807 Lone Tree Way", "3850 Grand Avenue", "3911 Figueroa Street", "400 East Remington Drive", "400 Newpark Mall", "400 east remington drive", "400 newpark mall", "401 East Jefferson Street", "401 Gregory Ln # 248", "4045 East Castro Valley Boulevard", "40645 Fremont Boulevard", "4085 Century Boulevard", "409 Aviation Boulevard", "409 aviation boulevard", "41277 Roberts Ave # 32", "4170 Springlake Drive", "4175, 42151 Blacow Road", "4204 Lone Tree Way", "4215 Geary Boulevard", "4261 Stevenson Boulevard", "4293 Piedmont Avenue", "43 North Santa Cruz Avenue", "430 East Calaveras Boulevard", "433 Estudillo Avenue #303", "4343 Renaissance Drive", "4350 San Pablo Dam Road #8", "4451", "4485 Stevens Creek Boulevard", "450 East El Camino Real", "450 east el camino real", "458 B Street", "4590 Dublin Boulevard", "4590 dublin boulevard", "460 34th street", "4646 El Camino Real", "4655 Hoen Avenue # 6", "4656 Quigg Drive", "4680 Tassajara Road", "474 24th Street", "474 24th street", "4757 Snyder Lane", "4757 Snyder lane", "4776 Sonoma Highway", "4801 Telegraph Avenue", "4812 1144 Sonoma Avenue", "4812, 1144 Sonoma Avenue", "4875 Clayton Road", "49 Gold Mine Drive", "4906 West El Camino Real # A", "4950 Empire Avenue # D2", "5 Bon Air Rd # 114", "5 Hutchins Way", "50 East Market Street", "50 Moraga Avenue", "50 South San Mateo Drive", "50 Upper Alabama Street", "500 Doyle Park Drive #200", "500 ioof Avenue", "5050 West El Camino Real # 110", "5161 Clayton Road Suite F", "5251 Martinelli Way", "5255 clayton road", "5317 Creely Avenue", "535 Pierce Street", "540 North Santa Cruz Avenue Suite B1", "542 A Mason Street", "544 Central Avenue", "549 Magnolia Avenue", "5500 Campanile Drive", "555 Center Avenue", "5614 Bay Street Suite 220", "5643 Charlotte Way", "5643 Charlotte way", "57 North Milpitas Boulevard", "5710 Cahalan Avenue # 8J", "578 Magnolia Avenue", "6 Petaluma Boulevard North", "600 Wilbur Avenue", "6000 Bollinger Canyon Road Suite 2300", "6000 bollinger canyon road suite 2300", "601 Van Ness Avenue", "601 van ness avenue", "615 Jackson Street", "620 3rd Street", "641 1st Street", "641 1st street", "641 Santa Cruz Avenue", "65 West Main Street", "655 Redwood Highway Suite 100", "6576 oakmont drive", "6790 mckinley Street #180", "6800 Palm Avenue e", "6868 McKinley Street", "689 East Remington Drive Ste A", "699 Gravenstein Highway North", "7000 Northgate Drive", "701 e el camino real 2nd floor", "707 Continental Circle", "707 Continental circle", "71 North San Pedro Street", "711 Geary Street", "730 Welch Road 1st Floor", "777 Pacific Boulevard", "7880 Wren Ave", "790 Lincoln Avenue", "795 El Camino Real Jamplis Building, Level 1", "80 Nicholl Avenue", "801 Welch Road", "807 1st Street", "815 Main Street", "820 East El Camino Real", "825 Russell Avenue", "85 Santa Rosa Avenue", "850 Broadway", "858 North Broad Street", "868 Grant Avenue", "877 West Fremont Avenue Ste J2", "881 7th Avenue", "888 oak grove avenue #8", "89 South Street", "90 Old Courthouse Square", "90 Woodacre Drive # 108", "900 Pepper Tree Lane", "9260 Alcosta Boulevard", "9260 Alcosta Boulevard B 12", "930 Admiral Callaghan Lane", "935 Trancas Street", "940 Webster Street", "9460 No Name Uno # 210", "947 Branham Lane # C", "949 El Camino Real", "960 Blossom Hill Road", "9725 east 14th street", "990 West Fremont Avenue", "990 West Fremont Avenue j", "991 County Highway G4 STE 104", "994 The Alameda", "Community Gym", "Community gym", "Home", "Laundry room", "Milpitas Square", "Nut Tree Village, 1631 East Monte Vista Avenue K101", "SFO International Airport", "Shattuck Avenue", "Sonoma Ave, # 44, 1820 Doctors Park Drive", "Sonoma Ave, # 44, 1820, Doctors Park Drive" ] }, "event_name": { "dataset_names": [ "sgd" ], "description": "Title of event", "possible_values": [ "none", "do not care", "Alejandro Sanz concert", "Amber Run Brooklyn concert", "Apartment Viewing at Sherwood Oaks Apartments", "Apartment Visit", "Apartment viewing", "Apartment viewing at Arbor Ridge Apartments", "Apartment viewing at Arbors At Mountain View", "Apartment viewing at Briarwood at Central Park", "Apartment viewing at Lakeshore Apartments", "Apartment viewing at North Dutton Apartments", "Apartment viewing at Pointe At Cupertino", "Apartment viewing at Reed Square", "Apartment viewing at Siena Pointe Apartments", "Apartment viewing at The Enclave", "Apartment viewing at Windsor Ridge", "Apartment viewing at arbors at mountain view", "Apartment visit", "Appointment", "Appointment at Drybar Union Square", "Appointment at Great Clips", "Appointment at the Dreadlocks Salon", "Appointment with Arts Of Dentistry", "Appointment with Darnell Jr Robert", "Appointment with Dr Ashmita Shetty", "Appointment with Dr. Azadeh Jafarnia", "Appointment with Dr. Maria J. Moore", "Appointment with Koppe Michael J", "Appointment with Lee Clara", "Appointment with Linda K. Low", "Appointment with New West Dental Laboratory", "Appointment with Ocean Dental Lab", "Appointment with Orthoworks Invisalign And Orthodontic Group", "Appointment with Palo Alto", "Appointment with Petaluma Dental Associates", "Appointment with Quach Catherine", "Appointment with Quach catherine", "Appointment with Steven C Fong", "Appointment with Tri Valley Dental Arts", "Baseball game", "Baseball game: Nationals Vs Reds", "Basta Concert", "Bastille concert", "Bedtime", "Beyond The Black concert", "Billy Idol concert", "Buddy Guy concert", "Busy", "Chris Webby concert", "Colin James Concert", "Damien Jurado concert", "Dental", "Dentist", "Dentist Appointment", "Dentist Appointment with Ghina Morad", "Dentist appointment", "Dentist appointment with A J Dental Lab", "Dentist appointment with Andrei Simel , Family and Cosmetic Dentisry", "Dentist appointment with Bautista Maximilian", "Dentist appointment with Dr. Sethi And Dr. Virdi", "Dentist appointment with Mark A Watson", "Dentist appointment with Menasco Matthew", "Dentist appointment with Park Victoria Dental", "Dentist appointment with Sonrisas Community Dental Center", "Dentist appointment with Wirebenders", "Dermatologist appointment", "Dermatologist appointment with Bernard Recht, Ph.D., M.D.", "Dermatologist appointment with Sumaira Z. Aasi MD", "Dinner at B Star", "Dinner at Fortune Restaurant", "Dinner at Lotus Thai Restaurant", "Dinner at Poplar Creek Grill", "Doc Appointment", "Doc appointment", "Doctor Appointment", "Doctor appointment", "Doctor visit", "ENT Specialist", "ENT Specialist appointment", "ENT visit", "Eat", "Erica Fernandez concert", "Food", "Football Game: Golden Bears Vs Trojans", "Football Game: Usc Vs Utah", "GP appointment", "GP visit", "General Practitioner", "General Practitioner Appointment", "General Practitioner Appointment with Roxanne C. Fiscella, M.D.", "General Practitioner appointment", "General Practitioner appointment with Dr. Leland M. Luna, MD", "General Practitioner appointment with Dr. Mark N. Isaacs, MD", "General Practitioner appointment with Dr. Vilasini M. Ganesh, MD", "General Practitioner appointment with Hipolito Ernesto B MD", "General Practitioner appointment with John Toth, D.O.", "General Practitioner appointment with Sonal Aggarwal, MD", "Geto Boys concert", "Girl In Red concert", "Gorgasm concert", "Gym", "Hair Salon", "Hair salon", "Hairdresser Appointment", "Hairdresser appointment", "House", "Imperial Daze Concert", "Jethro Tull concert", "Joe Hisaishi concert", "Juliana Hatfield concert", "Laundry", "Leave for airport", "Lights Concert", "Lights concert", "Lunch at 1760", "Lunch at Alba Ray's", "Lunch at B side", "Lunch at Mai Thai Cuisine", "Lunch at Tomatina", "Movie At Boulevard 14 Cinema", "Movie Show", "Movie at AMC Brentwood 14", "Movie at AMC Deer Valley 16", "Movie at AMC Eastridge 15", "Movie at AMC Mercado 20", "Movie at AMC NewPark 12", "Movie at Boulevard 14 Cinema", "Movie at Century", "Movie at Century 16", "Movie at Century 16 Downtown", "Movie at Century Vallejo 14", "Movie at CineLux Almaden Cinema", "Movie at Cinelux almaden cinema", "Movie at Contra Costa Stadium Cinemas", "Movie at Landmark's Embarcadero Center Cinema", "Movie at Landmark's Opera Plaza Cinema", "Movie at Livermore 13 Cinema", "Movie at Los Gatos Theatre", "Movie at Maya Pittsburg Cinemas", "Movie at Pruneyard Dine In Cinemas", "Movie at Pruneyard Dine iN Cinemas", "Movie at Rheem Theatre", "Movie at Rialto Cinemas", "Movie at Smith Rafael Film Center", "Movie at Sonoma Cinema", "Movie at Stanford Theatre", "Movie at THE LOT City Center", "Movie at The New Parkway Theater", "Movie at United Artists Berkeley 7", "Movie at Vine Cinema and Alehouse", "Movie at smith Rafael Film Center", "Movie booking for Breakthrough", "Movie booking for HIgh Life", "Movie booking for Long Shot", "Movie booking for Pet Sematary", "Movie booking for Shazam!", "Movie booking for long shot", "Movie show", "Murder City Devils concert", "New Found Glory Concert", "New House", "New house", "Ophthalmologist appointment with Dr. Claudia S. Pinilla, MD", "Ophthalmologist appointment with Dr. Edward J. Saub", "Ophthalmologist appointment with Rona Silkiss, MD, FACS", "Property", "Property Appointment", "Property Visit", "Property Visit Appointment", "Property Visit appointment", "Property appointment", "Property viewing", "Property visit", "Property visit appointment", "Psychedelic Furs concert", "REstaurant reservation at Rubio's Coastal Grill", "Reservation at 1760", "Reservation at 2g Japanese Brasserie", "Reservation at 71 Saint Peter", "Reservation at A Plus Cafe", "Reservation at Aato", "Reservation at Alice's", "Reservation at Amelie San Francisco", "Reservation at Anjappar Chettinad Restaurant", "Reservation at Arguello", "Reservation at Barnzu", "Reservation at Beijing Restaurant", "Reservation at Chef Li", "Reservation at El Mansour", "Reservation at Fonda", "Reservation at Gumbas", "Reservation at Honey Thai Restaurant", "Reservation at Korea Garden", "Reservation at Lulu's Kitchen", "Reservation at McDonald's", "Reservation at Mumbai Chowk", "Reservation at Nopa", "Reservation at Old Town Sushi", "Reservation at Puesto Santa Clara", "Reservation at Rocknwraps And Kabobs", "Reservation at The Fish Market", "Reservation at The Shuckery", "Reservation at Wild Goat Bistro", "Reservation for 2 people at Acquolina", "Reservation for 3 people at Hot Crab", "Reservation for 3 people at Market", "Reservation for 3 people at Mexico Lindo", "Reservation for 5 people at Maroo Korean Cuisine", "Reservation for 5 people at Mayflower Seafood Restaurant", "Reservation for 5 people at Sicilia In Bocca", "Restaurant Reservation at Akiko's Sushi Bar", "Restaurant Reservation at Akiko's sushi bar", "Restaurant Reservation at Begoni Bistro", "Restaurant Reservation for 3 at Dallimonti's Italian Restaurant", "Restaurant reservation", "Restaurant reservation at AKiko's Sushi Bar", "Restaurant reservation at Akiko's Sushi Bar", "Restaurant reservation at Amelie San Francisco", "Restaurant reservation at Batika India Bistro", "Restaurant reservation at Begoni Bistro", "Restaurant reservation at El Valenciano", "Restaurant reservation at La Ginestra", "Restaurant reservation at Mcdonald's", "Restaurant reservation at Pacific Catch", "Restaurant reservation at Rubio's Coastal Grill", "Restaurant reservation at Scott's Seafood Restaurant", "Restaurant reservation for 2 at Fukusuke Restaurant", "Restaurant reservation for 2 at Izanami", "Restaurant reservation for 2 at Sasa", "Restaurant reservation for 2 at Wago Sushi Sf", "Restaurant reservation for 3 at El Amigo Burrito", "Restaurant reservation for 3 at Los Palillos Restaurant", "Restaurant reservation for 3 at Nick's Rockaway", "Restaurant reservation for 3 at Perch + Plow", "Restaurant reservation for 4 at Mariscos El Patron", "Restaurant reservation for 4 at Ristorante Fratello", "Restaurant reservation for 5 at Alegrias", "Restaurant reservation for 5 at Dopo", "Restaurant reservation for 5 at La Taberna", "Restaurant reservation for 5 at Marche Aux Fleurs", "Restaurant reservation for 5 at Simply Fondue", "Restaurant reservation for 6 at 2g Japanese Brasserie", "Restaurant reservation for 6 at Kamakura Japanese Restaurant", "Restaurant reservation for 6 at Royal Rangoon Restaurant", "Salon", "Shanice concert", "Soccer Game: Sounders Vs United", "Soccer Game: Whitecaps vs Kansas City", "Soccer game", "Stylist", "Stylist Visit", "Stylist appointment", "Stylist appointment at Amazon Barber Shop", "Stylist appointment at Kinder Cuts Kids Hair Salon", "Stylist appointment at Lotte Beauty Salon", "Stylist appointment at Opus Arcade", "Stylist appointment at Redline Barbers", "Stylist appointment at Wash and Brushup Co.", "Stylist visit", "Styx concert", "Table for 2 at Mcdonald's", "Table for 4 at Wild Goat Bistro", "Table for 5 at Mcdonald's", "Table for 5 at lark Creek Steak", "Taking Back Sunday concert", "The Drums concert", "The Hives Concert", "The Struts concert", "Thee Oh Sees concert", "Timmy Trumpet concert", "Toto concert", "Viewing at Apricot Pit Apartments", "Viewing at Felson Management Corporation", "Viewing at Fountain Plaza Apartments", "Viewing at Park Branham Apartments", "Viewing at Raintree Condominiums", "Viewing at Villa Fontana Apartments", "Visit Appointment", "Visit appointment", "Visit to Doctor", "Visit to doctor", "Westside Gunn concert", "Young The Giant concert", "Yunger concert", "Zz Top concert", "apartment viewing", "apartment viewing at Hopper Lane Apartments", "apartment visit", "appointment", "appointment at Evoke Beauty Salon", "appointment at Miller and Mane", "appointment with Donna M Cotner", "appointment with Dr Ashmita Shetty", "appointment with Dr. Jaswinder Ghuman", "appointment with Lee Clara", "appointment with Spate Daniel J", "baseball game", "dental", "dental appointment", "dentist", "dentist appointment", "dentist appointment with Dr. Sridevi Alapati", "dentist appointment with Gerald E. Dixon Scott E. Dixon", "dentist appointment with Kobayashi James Y", "dermatologist appointment", "doc appointment", "doctor", "doctor appointment", "doctor visit", "eat", "errand", "food", "general practitioner", "general practitioner appointment", "hair care", "hairdresser appointment", "house", "lights concert", "lunch at Alba Ray's", "lunch at Puccini and Pinetti", "lunch at tomatina", "movie at 3rd Street Cinema", "movie at AMC Mercado 20", "movie at Airport Stadium 12", "movie at Alamo Drafthouse Cinema", "movie at Century", "movie at Century at Hayward", "movie at Landmark's Piedmont Theatre", "movie at ShowPlace ICON Valley Fair", "movie at The Clover Theater", "movie at The New Parkway Theater", "movie at airport stadium 12", "movie at amc newpark 12", "movie at century 16 downtown", "movie at landmark's embarcadero center cinema", "movie at roxie theater", "movie booking for Breakthrough", "movie booking for Long Shot", "movie booking for hellboy", "movie show", "new house", "not at work", "ophthalmologist appointment", "ophthalmologist appointment with Dr. Randal Pham MD, MS, FACS", "out of office", "property", "property appointment", "property viewing", "property visit", "property visit appointment", "reservation at 2g japanese brasserie", "reservation at Chef Li", "reservation at Gumba's", "reservation at Korea Garden", "reservation at Mirchi Cafe", "reservation at la casa", "reservation for 5 people at Beso Bistronomia", "reservation for 5 people at Mayflower Seafood Restaurant", "restaurant", "restaurant reservation", "restaurant reservation at Firehouse No.1 Gastropub", "restaurant reservation at Izakaya Ginji", "restaurant reservation at platano", "restaurant reservation for 2 at Enzo's italian restaurant", "restaurant reservation for 4 at Betty Spaghetti", "restaurant reservation for 4 at Mariscos El Patron", "restaurant reservation for 5 at Himalayan flavors", "restaurant reservation for 6 at Bangkok Garden", "restaurant reservation for 6 at The Hog's Apothecary", "restaurant reservation for 6 at mei don chinese cuisine", "soccer game: sounders vs timbers", "stylist", "stylist appointment", "stylist appointment at Exclusive Spa", "stylist appointment at Quality Men's Haircuts", "stylist appointment at Salon 815", "stylist appointment at Showroom 383 Salon", "stylist appointment at Supercuts", "stylist appointment at the refinery grooming club", "stylist visit", "the paper kites concert", "viewing at Aster Park Apartments", "viewing at Casa Bonita", "viewing at Civic Plaza Apartments", "viewing at Muir Park Condominiums", "viewing at Oregon Park Senior Apartments", "viewing at Willowbrook apartments", "viewing at ridgeview terrace Townhouses", "visit appointment", "visit to doctor" ] }, "event_time": { "dataset_names": [ "sgd" ], "description": "Start time of event", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] } }, "events": { "address_of_location": { "dataset_names": [ "sgd" ], "description": "Street address of event location", "possible_values": [ "?" ] }, "category": { "dataset_names": [ "sgd", "sgd" ], "description": "Type of event", "possible_values": [ "none", "do not care", "Music", "Sports", "?" ] }, "city": { "dataset_names": [ "sgd", "sgd" ], "description": "City where the event is taking place", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Atlanta", "Atlanta, GA", "Atlanta, Ga", "Belvedere", "Berkeley", "Berlin", "Brisbane", "Cape Town", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "DC", "Delhi", "District of Columbia", "Fresno", "Fresno, CA", "LA", "LAX", "LAx", "Las Vegas", "Las vegas", "Lax", "Livermore", "London", "London England", "London UK", "London, England", "London, UK", "London, Uk", "Long Beach", "Los Angeles", "Los angeles", "NEw York", "NY", "NYC", "Napa", "New York", "New York City", "New York city", "New york", "New york City", "New york city", "Oakland", "PHiladelphia", "POrtland", "Pacifica", "Palo Alto", "Paris", "Philadelphia", "Philly", "Phoenix", "Phoenix AZ", "Phoenix, AZ", "Phoenix, Az", "Portland", "Portland, OR", "Portland, Or", "Redwood City", "Rohnert Park", "SAcramento", "SD", "SF", "SFO", "Sacramento", "Sacramento Ca", "Sacramento, CA", "Sacramento, Ca", "San DIego", "San Diego", "San Fran", "San Francisco", "San Jose", "San Rafael", "Santa Rosa", "Seattle", "Seattle WA", "Seattle, WA", "Seattle, Wa", "Sf", "Stanford", 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Vs Red Bulls", "United Vs Revolution", "United Vs United", "United Vs united", "United vs Earthquakes", "United vs Red Bulls", "United vs United", "Usc VS Utah", "Usc Vs Oregon", "Usc Vs UCLA", "Usc Vs Ucla", "Usc Vs Utah", "Usc vs Oregon", "Usc vs Ucla", "Usc vs Utah", "Usc vs utah", "Vampire Weekend", "Vertical Horizon", "Vivian Green", "Wallows", "Washington Vs Ny Liberty", "Water Seed", "Weirdass", "West Side Story", "Westside Gunn", "White Sox Vs Angels", "White Sox Vs Astros", "White Sox Vs Indians", "White Sox Vs Tigers", "White Sox Vs Twins", "White Sox Vs Yankees", "White Sox vs Angels", "White Sox vs Tigers", "White Sox vs Twins", "Whitecaps VS Colorado Rapids", "Whitecaps Vs Colorado Rapids", "Whitecaps Vs Earthquakes", "Whitecaps Vs Kansas City", "Whitecaps vs Colorado Rapids", "Whitecaps vs Earthquakes", "Whitecaps vs Kansas City", "Whitecaps vs colorado rapids", "Write About Now", "Yacht Rock Revue", "Yankees Vs Angels", "Yankees Vs Blue Jays", "Yankees Vs Diamondbacks", "Yankees Vs Indians", "Yankees Vs Orioles", "Yankees Vs Rangers", "Yankees Vs Rays", "Yankees vs Blue Jays", "Yankees vs Indians", "Yankees vs Orioles", "Yankees vs orioles", "Yellow Jackets VS Panthers", "Yellow Jackets Vs Bulldogs", "Yellow Jackets Vs Bulls", "Yellow Jackets Vs Hokies", "Yellow Jackets Vs Wolfpack", "Yellow Jackets vs Bulls", "Yellow Jackets vs Wolfpack", "Young Frankenstein", "Young The Giant", "Young the Giant", "Yunger", "ZZ Top", "ZZ top", "Zz Top", "Zz top", "abbi jacobson", "acoustic alchemy", "acting for teens", "adieu monsieur haffmann", "advanced acting scene study", "aftershock festival", "aftershock music festival", "alejandro sanz", "alice in glitterland", "all the little lights", "allan rayman", "alpha Blondy", "aly and aj", "amber run brooklyn", "americo", "angels vs astros", "angels vs mariners", "angels vs orioles", "angels vs white sox", "arizona vs la dodgers", "atlanta summer organ festival", "basta", "bastille", "beach boys", "beatleconcert", "beirut by alan bowne", "berkeley world music festival", "beyond the black", "billy idol", "blue jays vs braves", "blue jays vs orioles", "blueface", "boondocks improv", "brown sabbath", "bryan adams", "cardinal vs ducks", "cardinal vs fighting irish", "celine dion", "chaos comedy improv show", "cher", "cody johnson", "comedysportz", "comethazine", "conor maynard", "crooked colours", "cruz azul vs atlas", "crystal lake", "cubs vs brewers", "cubs vs mariners", "diamondbacks vs brewers", "diamondbacks vs marlins", "dodgers vs cubs", "dodgers vs diamondbacks", "dodgers vs rockies", "eagles vs cowboys", "erica fernandez", "falcons vs buccaneers", "falcons vs jaguars", "fiddler on the roof", "friends", "geto boys", "giants Vs Diamondbacks", "giants vs Brewers", "giants vs brewers", "giants vs diamondbacks", "giants vs dodgers", "giants vs marlins", "giants vs nationals", "giants vs phillies", "giants vs rockies", "girl in red", "golden bears vs cougars", "golden bears vs trojans", "greensky bluegrass", "greta Van Fleet", "greta van fleet", "guided by voices", "harlem gospel choir", "huskies vs cougars", "improv for content creators", "india vs australia", "jack and the beanstalk", "jethro tull", "jojo siwa", "jon bellion", "jordan rakei", "josh groban", "juliana hatfield", "kishi Bashi", "kishi bashi", "lafc Vs Atlanta United", "lafc vs atlanta united", "local natives", "long beach jazz festival", "mandy harvey", "mariners Vs Blue Jays", "mariners Vs Rangers", "mariners vs angels", "mariners vs rangers", "mariners vs tigers", "matt corby", "melbourne knights vs avondale", "mets vs braves", "mets vs cubs", "mets vs diamondbacks", "mets vs dodgers", "mets vs phillies", "mets vs pirates", "nationals vs braves", "nattali rize", "nicole belanus washington", "nycfc vs dynamo", "owls vs bison", "owls vs huskies", "owls vs knights", "owls vs yellow jackets", "padres Vs Diamondbacks", "padres vs brewers", "padres vs diamondbacks", "padres vs rays", "panteon rococo", "phillies vs diamondbacks", "phutureprimitive", "portland thorns vs houston", "psychedelic furs", "raiders vs bengals", "raiders vs chiefs", "raiders vs lions", "rams vs cardinals", "republic vs toros", "seahawks vs cardinals", "seattle theatresports improv comedy", "seattle vs atlanta", "sounders vs timbers", "sparks vs lynx", "sparks vs mystics", "sparks vs wings", "spose", "starset", "styx", "tash sultana", "the Buttertones", "the Drums", "the Lion King", "the National", "the band camino", "the drums", "thee oh sees", "tuxedo", "united vs united", "water Seed", "white sox vs angels", "whitecaps vs earthquakes", "young the giant", "yunger", "zz top" ] }, "event_type": { "dataset_names": [ "sgd", "sgd" ], "description": "Type of event", "possible_values": [ "none", "do not care", "Music", "Sports", "Theater" ] }, "number_of_seats": { "dataset_names": [ "sgd" ], "description": "Number of seats to find event tickets for", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "6", "7", "8", "9" ] }, "number_of_tickets": { "dataset_names": [ "sgd", "sgd" ], "description": "Number of tickets to buy for event", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "6", "7", "8", "9" ] }, "price_per_ticket": { "dataset_names": [ "sgd" ], "description": "Price of each ticket", "possible_values": [ "?" ] }, "subcategory": { "dataset_names": [ "sgd" ], "description": "Subcategory of event, either a music genre or sport name", "possible_values": [ "none", "do not care", "American Football", "American football", "Baseball", "Basketball", "Blues", "Christian", "Classical", "Country", "Cricket", "Electronica", "Football", "Funk", "Hip Hop", "Hip hop", "International", "Jazz", "Pop", "Rock", "american football", "baseball", "basketball", "blues", "christian", "classical", "country", "electronica", "football", "funk", "hip hop", "international", "jazz", "pop", "rock", "?" ] }, "time": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Time when the event is scheduled to start", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] }, "venue": { "dataset_names": [ "sgd", "sgd" ], "description": "Exact venue of event", "possible_values": [ "?" ] }, "venue_address": { "dataset_names": [ "sgd", "sgd" ], "description": "Address of event venue", "possible_values": [ "?" ] } }, "flights": { "airlines": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Name of airline", "possible_values": [ "none", "do not care", "Air Canada", "Air France", "Alaska Airlines", "American Airlines", "British Airways", "Delta Airlines", "LATAM Brasil", "LOT Polish Airlines", "South African Airways", "Southwest Airlines", "United Airlines" ] }, "arrives_next_day": { "dataset_names": [ "sgd" ], "description": "Whether the flight arrives the next day", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "departure_date": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Start date for the trip", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of MArch", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of March", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of MArch", "2nd of March", "2nd of March 2019", "2nd of march", "2nd of this month", "3rd of MArch", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of March 2019", "4th of march", "4th of this Month", "4th of this month", "5th of MArch", "5th of March", "5th of March 2019", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Day after tomorrow", "Friday Next week", "Friday next Week", "Friday next week", "Later today", "MArch 10th", "MArch 2nd", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next Week", "Monday next week", "Next Friday", "Next Monday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Next friday", "Next monday", "Next tuesday", "Saturday this week", "Sunday this week", "The 12th", "The 1st", "The 2nd", "The 3rd", "The 5th", "The 6th", "The 8th", "This Saturday", "This Sunday", "Thursday Next week", "Thursday next week", "Today", "Tomorrow", "Tuesday Next Week", "Tuesday Next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "saturday this week", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "this sunday", "thursday next week", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "destination": { "dataset_names": [ "sgd" ], "description": "City of destination for the flight", "possible_values": [ "none", "do not care", "ATL", "Atlanta", "Atlanta, GA", "CDMX", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Delhi", "Delhi, India", "KL", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "London", "London, England", "London, UK", "London, Uk", "Los Angeles", "Mexico City", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "Ny", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland OR", "Portland, OR", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "atlanta", "las vegas", "los angeles", "mexico city", "new york", "new york city", "paris, france", "philadelphia", "phoenix", "portland, or", "san diego", "seattle", "sfo", "vegas", "washington" ] }, "destination_airport": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Airport at the ending city for the trip", "possible_values": [ "none", "do not care", "ATL", "Atlanta", "Atlanta, GA", "Berlin", "Cape Town", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Delhi", "Delhi, India", "KL", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "Las vegas", "London", "London England", "London, England", "London, UK", "Los Angeles", "Mexico City", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland, OR", "Rio", "Rio de Janeiro", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Sydney", "Sydney Australia", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver, BC", "Vegas", "Warsaw", "Washington", "atlanta", "chicago", "kl", "london", "london, england", "los angeles", "nyc", "philadelphia", "portland, OR", "portland, or", "san diego", "toronto, canada", "vancouver, bc", "vegas", "warsaw", "washington", "?" ] }, "destination_airport_name": { "dataset_names": [ "sgd" ], "description": "Number of the airport flying to", "possible_values": [ "?" ] }, "destination_city": { "dataset_names": [ "sgd", "sgd" ], "description": "Ending city for the trip", "possible_values": [ "none", "do not care", "ATL", "Atlanta", "Atlanta GA", "Atlanta, GA", "Atlanta, Ga", "CDMX", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Ciudad de mexico", "Delhi", "Delhi India", "Delhi, India", "KL", "Kuala Lumpur", "LA", "LAX", "La", "Las Vegas", "Las vegas", "London", "London UK", "London, England", "London, UK", "London, england", "London, uk", "Los Angeles", "Los angeles", "Mexico City", "Mexico city", "NY", "NYC", "Nairobi", "Nairobi Kenya", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "Ny", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix AZ", "Phoenix, AZ", "Portland", "Portland, OR", "Portland, Or", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "San fran", "Seattle", "Seattle WA", "Seattle, WA", "Seattle, Wa", "Sydney", "Sydney, Australia", "Sydney, NSW", "Sydney, australia", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vegas", "Washington", "atl", "atlanta", "atlanta, GA", "chi town", "chicago", "ciudad de mexico", "delhi", "delhi, india", "lAX", "la", "las vegas", "lax", "london", "london, England", "london, england", "london, uk", "los angeles", "new delhi", "new york", "new york city", "nyc", "paris", "paris, france", "philadelphia", "phoenix", "phoenix, AZ", "phoenix, az", "portland", "portland, or", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, wa", "sf", "sfo", "sydney", "toronto", "toronto, ontario", "vancouver", "vegas", "washington" ] }, "fare": { "dataset_names": [ "sgd" ], "description": "Ticket fare for each passenger", "possible_values": [] }, "flight_class": { "dataset_names": [ "sgd" ], "description": "Fare class of flight booking", "possible_values": [ "none", "do not care", "Business", "Economy", "First Class", "Premium Economy", "?" ] }, "inbound_arrival_time": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Arrival time for the return leg flight", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] }, "inbound_departure_time": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Departure time for the return leg flight", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", 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"13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "is_nonstop": { "dataset_names": [ "sgd" ], "description": "Whether the flight is a direct one", "possible_values": [ "none", "do not care", "False", "True" ] }, "is_redeye": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating whether the flight is a red-eye flight", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "number_checked_bags": { "dataset_names": [ "sgd" ], "description": "Number of bags to check in", "possible_values": [ "none", "do not care", "0", "1", "2", "?" ] }, "number_of_tickets": { "dataset_names": [ "sgd" ], "description": "the number of flight tickets for the trip", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "?" ] }, "number_stops": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Number of layovers in the flight", "possible_values": [ "none", "do not care", "0", "1", "?" ] }, "origin": { "dataset_names": [ "sgd" ], "description": "City of origin for the flight", "possible_values": [ "none", "do not care", "ATL", "Atlanta", "Atlanta GA", "Atlanta Ga", "Atlanta, GA", "Atlanta, Ga", "CDMX", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Ciudad de mexico", "Delhi", "Delhi, India", "KL", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "Lax", "London", "London, England", "London, UK", "London, england", "Los Angeles", "Mexico City", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New york city", "Paris", "Paris France", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland OR", "Portland, OR", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Sf", "Sydney, NSW", "Toronto", "Toronto Ontario", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "chi town", "las Vegas", "las vegas", "nyc", "paris", "paris, france", "portland", "san Fran", "san diego", "san fran", "san francisco", "sd", "seattle", "toronto ontario", "toronto, ontario", "vancouver", "vegas", "washington" ] }, "origin_airport": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Airport at the starting city for the trip", "possible_values": [ "none", "do not care", "ATL", "Atlanta", "Atlanta, GA", "Berlin", "CDMX", "Cape Town", "Chi town", "Chicago", "Ciudad de Mexico", "Ciudad de mexico", "Delhi", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "London", "London, England", "London, UK", "Los Angeles", "Mexico City", "NY", "NYC", "New Delhi", "New York", "New York City", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix Az", "Phoenix, AZ", "Portland", "Portland, OR", "Portland, Or", "Rio", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Sydney, Australia", "Sydney, NSW", "Toronto, Canada", "Toronto, Ontario", "VAncouver", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "berlin", "chi town", "chicago", "las vegas", "new york", "new york city", "paris", "philadelphia", "philly", "san fran", "seattle", "seattle, wa", "sf", "vancouver, bc", "washington", "?" ] }, "origin_airport_name": { "dataset_names": [ "sgd" ], "description": "Number of the airport flying out from", "possible_values": [ "?" ] }, "origin_city": { "dataset_names": [ "sgd", "sgd" ], "description": "Starting city for the trip", "possible_values": [ "none", "do not care", "ATL", "ATl", "Atlanta", "Atlanta GA", "Atlanta, GA", "Atlanta, Ga", "CDMX", "Chi Town", "Chi town", "Chicago", "Ciudad De mexico", "Ciudad de Mexico", "Delhi", "Delhi, India", "KL", "Kuala Lumpur", "LA", "LAX", "La", "Las Vegas", "Las vegas", "London", "London England", "London, England", "London, UK", "London, Uk", "Los Angeles", "Los angeles", "Mexico City", "Mexico city", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New york", "New york City", "Ny", "Paris", "Paris France", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Phoenix, Az", "Portland", "Portland OR", "Portland, OR", "SD", "SF", "SFO", "San Diego", "San Fran", "San Francisco", "San francisco", "Seattle", "Seattle, WA", "Seattle, Wa", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vancouver, Bc", "Vegas", "Washington", "atlanta", "atlanta, GA", "atlanta, ga", "cdmx", "chi town", "chicago", "ciudad de mexico", "delhi", "lAX", "la", "las vegas", "lax", "london", "los angeles", "mexico city", "new york", "ny", "nyc", "paris", "paris, France", "philadelphia", "philly", "portland", "portland, or", "san Francisco", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, wa", "sf", "sfo", "toronto", "toronto, ontario", "vancouver", "vancouver bc", "vancouver, bc", "vegas", "washington" ] }, "outbound_arrival_time": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Arrival time for the outbound leg flight", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] }, "outbound_departure_time": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Departure time for the outbound leg flight", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] }, "passengers": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Number of passengers in the booking", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "?" ] }, "price": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Price of the booking per passenger", "possible_values": [ "?" ] }, "refundable": { "dataset_names": [ "sgd" ], "description": "Whether the booking is refundable or not", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "return_date": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Date of the return flight", "possible_values": [ "none", "do not care", "10th of March", "10th of March 2019", "10th of march", "10th of this month", "11th of March", "11th of March 2019", "11th of march", "11th of this month", "12th of March", "12th of March 2019", "12th of march", "12th of this month", "13th of March", "13th of March 2019", "13th of march", "13th of this month", "14th of March", "14th of March 2019", "14th of march", "14th of this Month", "14th of this month", "3rd of March", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 10th", "MArch 4th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14tH", "March 14th", "March 3rd", "March 4th", "March 5th", "March 5th 2019", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Thursday", "Next Wednesday", "Sunday this week", "The 10th", "The 11th", "The 13th", "The 14th", "Thursday next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 3rd", "march 5th", "march 6th", "march 7th", "march 8th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Sunday", "tuesday next week", "wednesday next week" ] }, "seating_class": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Seating class for the booking", "possible_values": [ "none", "do not care", "Business", "Economy", "First Class", "Premium Economy", "?" ] } }, "homes": { "address": { "dataset_names": [ "sgd", "sgd" ], "description": "Address of the apartment", "possible_values": [ "?" ] }, "area": { "dataset_names": [ "sgd", "sgd" ], "description": "City where the apartment is located", "possible_values": [ "none", "do not care", "Alameda", "Albany", "Antioch", "Bay Point", "Belmont", "Benicia", "Berkeley", "Brentwood", "Burlingame", "Campbell", "Castro Valley", "Cloverdale", "Concord", "Corte Madera", "Cotati", "Cupertino", "Danville", "Dixon", "Dublin", "El Cerrito", "El Sobrante", "FairField", "Fairfax", "Fairfield", "Foster City", "Fremont", "Gilroy", "Hayward", "Lafayette", "Livermore", "Los Gatos", "Martinez", "Menlo Park", "Mill Valley", "Milpitas", "Moraga", "Morgan Hill", "Mountain View", "Mountain view", "Napa", "Newark", "Novato", "Oakland", "Oakley", "Palo Alto", "Petaluma", "Pittsburg", "Pleasant Hill", "Pleasant hill", "Pleasanton", "Redwood City", "Richmond", "Rio Vista", "Rohnert Park", "SF", "SFO", "San Fran", "San Francisco", "San Jose", "San Leandro", "San Lorenzo", "San Mateo", "San Pablo", "San Rafael", "San Ramon", "San jose", "San leandro", "Santa Clara", "Santa Rosa", "Sausalito", "Sebastopol", "Sonoma", "South San Francisco", "Suisun City", "Suisun city", "Sunnyvale", "Union City", "Vacaville", "Vallejo", "Walnut Creek", "Walnut creek", "Windsor", "brentwood", "concord", "cupertino", "dixon", "fremont", "hayward", "livermore", "napa", "palo alto", "pittsburg", "richmond", "san Jose", "san francisco", "san jose", "san mateo", "san rafael", "san ramon", "santa Rosa", "santa clara", "sunnyvale", "vacaville", "vallejo", "walnut creek" ] }, "count": { "dataset_names": [ "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "furnished": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the property is furnished", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "has_garage": { "dataset_names": [ "sgd" ], "description": "Whether the property has a garage", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "in_unit_laundry": { "dataset_names": [ "sgd" ], "description": "Whether the property has in-unit laundry facilities", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "intent": { "dataset_names": [ "sgd" ], "description": "Whether to buy or rent a property", "possible_values": [ "none", "do not care", "buy", "rent" ] }, "number_of_baths": { "dataset_names": [ "sgd", "sgd" ], "description": "Number of baths in the apartment", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "?" ] }, "number_of_beds": { "dataset_names": [ "sgd", "sgd" ], "description": "Number of bed rooms", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "?" ] }, "pets_allowed": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if pets are allowed", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "phone_number": { "dataset_names": [ "sgd", "sgd" ], "description": "Phone number of the apartment", "possible_values": [ "?" ] }, "price": { "dataset_names": [ "sgd" ], "description": "Sale price or per-month rent of property", "possible_values": [ "?" ] }, "property_name": { "dataset_names": [ "sgd", "sgd" ], "description": "Name of the apartment", "possible_values": [ "none", "do not care", "1000 Kiely", "1000 kiely", "1901 Shoreline Apartments", "215 Bayview Apartments", "275 Hawthorne Apartments", "275 hawthorne apartments", "400 Canal Street Apartments", "400 canal street apartments", "888 Golden Saratoga Cupertino Apartment HOmes", "888 Golden Saratoga Cupertino Apartment Homes", "888 Golden Saratoga cupertino Apartment homes", "888 Golden Saratoga cupertino apartment homes", "888 San Mateo", "888 San mateo", "888 golden saratoga cupertino apartment homes", "AVery at towncentre", "Acacia Capital Cor Ironwood AP", "Acacia Capital Cor Ironwood Ap", "Addison Ranch", "Adrienne Village Apartments", "Aegena", "Affordable Housing Associates", "Alameda Gardens Apartments", "Alameda gardens Apartments", "Alamo Garden Apartments", "Alborada Apartments", "Alborada apartments", "Alderwood Apartments", "Alderwood Park", "Alma Apartments", "Almaden Garden Apartments", "Almaden Garden apartments", "Almaden House", "Almaden Lake Apartments", "Almaden house", "Alpine Vista Apartments", "Amador Apartments", "Amador Lakes Apartment Homes", "Amador Royal", "Amber Court", "Amberwood Apartments", "Amberwood Garden Apartments", "Americana", "Americana Apartment Homes", "Americana Apartments", "Americana apartments", "Ann Darling Apartments", "Antioch Rivertown Senior Housing", "Anton La Moraga Apartments", "Appletree Apartments", "Apricot Pit Apartments", "Apricot Pit apartments", "Apricot pit apartments", "Arastradero Park Apartments", "Arbol Verde Apartments", "Arbor Apartments", "Arbor Park", "Arbor Ridge Apartments", "Arbor Terrace Apartments", "Arbor Terraces", "Arbor Vista Senior Apartments", "Arbor apartments", "Arbor park", "Arbors Apartments", "Arbors At Mountain View", "Arbors at Mountain View", "Arbors at Mountain view", "Archstone Walnut Creek", "Arioso Apartments", "Ashland Village Apartments", "Aspen Village Apartments", "Aster Park Apartments", "Aster park apartments", "Autumn Oaks Apartments", "Avalon Apartments", "Avenel Apartments", "Avery At Towncentre", "Avery Park Apartments", "Avery park apartments", "Baker Park Apartments", "Baker Park apartments", "Balboa Apartments", "Banff Apartments", "Barkley Square Apartments", "Bay Ridge Apartment", "Bay Village Apartments", "Bay Village apartments", "Bay Vista", "Baycrest", "Bayfair Apartments", "Baywood Apartments", "Baywoods Apartment Homes", "Beach Park Apartments", "Behringer Harvard", "Bel Air", "Bel air", "Bella Rose Apartments", "Bella Vista Apartments", "Bella Vista At Hilltop", "Bella Vista at Hilltop", "Belmont Apartment Homes", "Benicia Highlands", "Bennington Apartments", "Berkshire Laurel Creek", "Bermuda Garden Apartments", "Bermuda Trinidad Apartments", "Betel Apartments", "Beth Eden Apartments", "Bicentennial Apartments", "Birchwood Apartments", "Blossom Hill Apartments", "Blossom River Apartments", "Blue Sky Apartments", "Boardwalk Apartments", "Bollinger Crest Apartments", "Bonnie Terrace Apartments", "Bookstreet Park Apartments", "Boulevard", "Boynton Brooks Apartments", "Breezewood Village", "Brentwood Parks Apartments", "Briarwood Apartments", "Briarwood At Central Park", "Briarwood Garden Apartments", "Briarwood at Central Park", "Bridge Grayson Creek Associates", "Bristol Apartment Homes", "Bristol Apartments", "Bristol Commons", "Brookside East Apartments", "Brookside Gardens", "Brookside Oaks", "Brookvale Chateau", "Brush Creek Apartments", "Buchanan Gardens", "Buchanan Park", "Burbank Business Management", "Burgess Point Apartments", "Cadillac Flats Apartments", "Cambria Apartments", "Cambridge Square Apartments", "Cambridge square apartments", "Camelback North Apartments", "Camino Creek Apartments", "Canal Apartments", "Canyon Creek Apartments", "Canyon Oaks", "Capri Creek Apartments", "Carlmont Heights Apartments", "Carmel House", "Carmel house", "Carriage House Apartments", "Carriage House apartments", "Carrington Apartments", "Carter Terrace", "Casa Blanca Apartments", "Casa Bonita", "Casa Carolina Apartments", "Casa Del Sol Apartments", "Casa Las Palmas", "Casa Pino Condos", "Casa Pino condos", "Casa Vasona Garden Apartments", "Casa Vista Apartments", "Case Verde Apartment", "Catalina Crest Apartment Homes", "Century Village Apartments", "Cezanne Apartments", "Charles Street Village", "Chateau Apartments", "Chateau Chillon Apartments", "Chatelaine Apartments", "Cherry Creek Apartments", "Chesapeake Point Apartments", "Chestnut Place", "City Centre", "City View", "City Walk Apartment Homes", "Civic Plaza Apartments", "Clayton Creek Apartments", "Cloverdale Garden Apartments", "Club View Apartments", "Coddingtown Mall APartments", "Coddingtown Mall Apartments", "Coffeetree Apartments", "Continental Apartments", "Country Club Apartments", "Country Club Villa Apartments", "Country Sharon Apartments", "Country View Apartments", "Country club apartments", "Courtyard Apartments", "Courtyard Terrace", "Courtyard Villa Apartments", "Crawford Apartments", "Creekside Apartments", "Creekside Glen Apartments", "Creekside Park Apartments", "Creekside Terrace Apartments", "Creekside Village", "Crescent Park", "Crescent Terrace Senior Apartments", "Cross Pointe", "Crossing At Montague Apartments", "Crossing at Montague Apartments", "Crossroads Village Apartments", "Crow Canyon", "Cypress Glen", "Cypress House Apartments", "Cypress Point Villas", "Dana Garden Apartments", "Deer Park Apartments", "Del Coronado", "Delmonico Apartments", "Devon Apartments", "Diablo Pointe Apartments", "Diablo Terrace Apartments", "Diamond View Apartments", "Diamond view apartments", "Dixon Apartments", "Dixon Manor Apartments", "Doolittle Apartments", "Driftwood Arms Apartments", "Dry Creek Apartments", "Edgewater Isle Senior Apartments", "El Gato Penthouse", "Emerald Pointe Apartments", "Epic", "Esposti Park Apartments", "Evelyn Gardens", "Evergreen Ridge Apartments", "Fairfield Vista Apartments", "Falcon Bridge", "Family Tree Apartments", "Felson Management Corporation", "Fernmar Apartments", "Fiori Estates Apartments", "Foothill Twin Creeks", "Forge Homestead Apartments", "Forge homestead Apartments", "Fountain Plaza Apartments", "Four Seasons Apartments", "Fox Creek Apartments", "Franciscan Manor", "Fremont Arms", "Fremont Manor", "Garden Court Apartments", "Gateway Apartments", "Ginzton Terrace", "Glen View Apartments", "Golf Club Manor Apartments", "Granada Apartments", "Grand Oak Apartments", "Greentree Terrace Apartments", "Hacienda Commons Apartments", "Hale Apartments", "Harbor Park Apartment Homes", "Hastings East Apartments", "Hawthorne", "Heritage Park Apartments", "Heron Court", "Hidden Creek Town Homes", "Hill Valley Apartments", "Hill valley apartments", "Hilltop Trio Apartments", "Holiday Gardens Apartments", "Hopkins Park Apartments", "Huntwood Commons", "Indian Creek", "Jasmine Square Apartments", "Jefferson At Emerald Park", "Jefferson at Emerald Park", "King's Valley", "Kona Kai Village Apartments", "Kottinger Place Apartments Seniors", "La Mancha Apartments", "Lafayette Commons Apartments", "Lafayette Highlands Apartments", "Lakeshore Apartment Homes", "Lakeshore Apartments", "Lakeside", "Leib Senior Apartments", "Lincoln Creek Apartments", "Lincoln Glen", "Lorenzo Commons Apartments", "Lotus Apartments", "Macara Gardens Apartments", "Magnolia Apartments", "Maplewood", "Marin Garden Apartments", "Marina Park Townhomes", "Marina plaza apartments", "Marlow Apartments", "Marymount Apartments", "Meadow Apartments", "Meadow apartments", "Meadowood Apartments", "Meadowood Village", "Middle Park Apartments", "Miramar Apartments", "Mission Park", "Mission Pines Apartments", "Montecito Pines Apartments", "Monterey Pines", "Montoya Garden Apartments", "Mosaic Apartments", "Muir Park Condominiums", "Muirlands At Windemere Apartments", "Napa Park homes", "Northridge Apartments", "Oak Creek Apartments", "Olive West Apartments", "Orange Tree Apartments", "Orchard Glen Apartments", "Oregon Park Senior Apartments", "Otavon Apartments", "Otis Terrace Apartments", "Palm Court Apartment", "Parc Marin Apartments", "Park Haven Apartments", "Park Hill Apartments", "Park Manor Apartments", "Park Meadows Apartments", "Park Tower Apartments", "Park View Apartments", "Parkside Apartments", "Parkside Commons Apartments", "Parkway Place Apartments", "Peppertree Apartments", "Pine Meadows Apartments", "Pine Terrace Apartments", "Pine terrace apartments", "Pinecrest Apartments", "Pines Apartments", "Plaza Vasquez", "Pointe At Cupertino", "Portofino Apartments", "Portola Meadows Apartments", "Presidio Village Senior Housing", "Quail Run Apartments", "Quail run apartment community", "RIverwood Grove", "ROse Garden Senior Apartments", "Raintree Condominiums", "Reardon Heights", "Redwood Grove Apartments", "Redwood Manor Apartments", "Regency Square", "Renaissance Apartment Homes", "Ridgeway Apartments", "Riley Square", "Rincon Gables Apartments", "Rosewood Manor Apartments", "Rumrill Garden Apartments", "Rutherford Townhomes", "San Marcos", "Santa Familia Apartments", "Saratoga Senior Apartments", "Saratoga senior apartments", "Savo Island Cooperative Homes", "Schooner Bay Apartment Homes", "Sequoia Grove of Danville", "Seven Oaks Apartments", "Shadow Creek Apartments", "Shadowbrook Apartments", "Sharon Green Apartments", "Shasta Terrace", "Sherwood Oaks Apartments", "Shorebreeze apartments", "Sierra Vista", "Skylark Apartments", "Skyline At Tamien Station", "Skyline Terrace Apartments", "Skyline View Apartments", "Sofi Belmont Glen", "Sofi Dublin", "Solano Vista Senior Apartments", "Sonoma Village Apartments", "Spinnaker Pointe Apartments", "Spring Valley Apartments", "Spruce Apartments", "Stephen J Pavlina Investments", "Stevenson Place Apartments", "Strawberry Shores Apartments", "Summer Creek Place", "Summerhill Place Apartments", "Summit At Sausalito Apartments", "Summit Crest Apartments", "Sunnyhills Apartments", "Sunridge Apartments", "Sycamore Bay", "The Greenery Apartments Homes", "The Grove Apartments", "The Hamptons Apartment Homes", "The Laurels", "The Meadows at Fountaingrove", "The Parc", "The Reserve at Rohnert Park", "The Retreat", "Tiburon 6 lyford, Llc", "Tice Oaks Apartments", "Tiffany Place Apartments", "Timberleaf Apartments", "Valley Oaks Apartments", "Vanguard Apartments", "Villa Monterey", "Village At Town Center Apartments", "Village Lake Apartments", "Village at town center apartments", "Villas At Bair Island Apartment Homes", "Villas Papillon", "Vista Oaks Apartments", "Walnut Grove Apartments", "Washington Creek Apartments", "Water's Edge", "Waterstone Fremont", "Wedgewood Manor", "Westwood Townhouse Apartments", "Whispering Oaks", "Wilford Lane Apartments", "Willow Branch Apartments", "Willow Brook Apartments", "Willow Creek Apartments", "Willowbrook Apartments", "Windsor Ridge", "Woodhaven Apartments", "Woodsong Village Apartments", "aegena", "affordable housing associates", "alameda gardens apartments", "alborada apartments", "almaden garden apartments", "almaden lake apartments", "americana apartments", "apricot pit apartments", "arioso apartments", "aster park apartments", "avery park apartments", "baycliff apartments", "baycrest", "betel apartments", "bicentennial apartments", "birchwood Apartments", "birchwood apartments", "boulevard", "bristol apartment homes", "brookvale chateau", "buchanan park", "canal apartments", "carriage house apartments", "casa pino condos", "city walk apartment homes", "clayton creek apartments", "courtyard apartments", "doolittle apartments", "felson management corporation", "fox creek apartments", "granada apartments", "holiday gardens apartments", "park Tower Apartments", "plaza Vasquez", "water's edge" ] }, "rent": { "dataset_names": [ "sgd" ], "description": "Rent per month of the apartment", "possible_values": [] }, "visit_date": { "dataset_names": [ "sgd", "sgd" ], "description": "Date for the visit to the apartment", "possible_values": [ "none", "do not care", "10th of March", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of this month", "14th of MArch", "14th of March", "14th of march", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of this month", "3rd of March", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday Next Week", "Friday next week", "Later today", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Monday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Next friday", "Saturday this week", "Sunday this week", "The 11th", "The 12th", "The 4th", "The 9th", "This Saturday", "Thursday next week", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "later today", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this sunday", "today", "tomorrow" ] } }, "hotel": { "address": { "dataset_names": [ "sgd" ], "description": "Address of the house", "possible_values": [ "?" ] }, "average_rating": { "dataset_names": [ "sgd" ], "description": "Average review rating for the hotel", "possible_values": [ "?" ] }, "check_in_date": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Start date for the reservation", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this Month", "11th of this month", "12th of March", "12th of March 2019", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "1st of March", "1st of March 2019", "1st of march", "1st of this month", "2nd of March", "2nd of March 2019", "2nd of march", "2nd of this month", "3rd of March", "3rd of March 2019", "3rd of march", "3rd of this month", "4th of March", "4th of March 2019", "4th of this month", "5th of March", "5th of March 2019", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "Later today", "MArch 10th", "MArch 11th", "MArch 2nd", "MArch 3rd", "MArch 4th", "MArch 6th", "MArch 8th", "MArch 9th", "March 10th", "March 11th", "March 12th", "March 13th", "March 1st", "March 1st 2019", "March 2nd", "March 3rd", "March 4th", "March 4th 2019", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Friday", "Next Monday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Next monday", "Saturday this week", "Sunday this week", "THIS SATURDAY", "The 5th", "This Saturday", "This Sunday", "This sunday", "Thursday next week", "Thursday, next week", "Today", "Tomorrow", "Tuesday Next week", "Tuesday next week", "Tuesday, next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 12th", "march 13th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "this sunday", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "check_out_date": { "dataset_names": [ "sgd", "sgd" ], "description": "End date for the reservation or to find the house", "possible_values": [ "none", "do not care", "10th of MArch 2019", "10th of March", "10th of March 2019", "10th of march", "10th of this month", "11th of March", "11th of March 2019", "11th of march", "11th of this month", "12th of MArch", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of March 2019", "13th of march", "13th of this month", "14th of March", "14th of March 2019", "14th of march", "14th of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of March 2019", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of March 2019", "7th of march", "7th of this month", "8th of March", "8th of March 2019", "8th of march", "8th of this month", "9th of MArch", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 13th", "MArch 6th", "MArch 8th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 14th 2019", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Friday", "Next Monday", "Next Thursday", "Sunday this week", "The 11th", "The 13th", "The 5th", "The 9th", "Thursday next week", "Thursday, next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "march 10th", "march 11th", "march 12th", "march 14th", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next wednesday", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "tomorrow", "tuesday next week" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "destination": { "dataset_names": [ "sgd" ], "description": "Location of the hotel", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim CA", "Anaheim, CA", "Anaheim, Ca", "Atlanta", "Atlanta GA", "Atlanta, GA", "CHi town", "Chi Town", "Chi town", "Chicago", "DC", "Delhi", "Delhi, India", "District of Columbia", "Fresno", "Fresno, CA", "Fresno, Ca", "KL", "Kuala Lumpur", "Kuala lumpur", "LA", "LAX", "Las Vegas", "London", "London England", "London, England", "London, UK", "London, Uk", "London, england", "London, uk", "Long Beach", "Long Beach, CA", "Long Beach, Ca", "Long beach, CA", "Los Angeles", "Los angeles", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "New york", "New york City", "New york city", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Phoenix, Az", "Portland", "Portland, OR", "Portland, Or", "SD", "SF", "SFO", "Sacramento", "Sacramento CA", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "San francisco", "Seattle", "Seattle, WA", "Seattle, Wa", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Toronto, canada", "Vancouver", "Vancouver, BC", "Vegas", "Washington", "Washington D.C.", "Washington, D.C.", "anaheim, CA", "anaheim, ca", "atlanta", "chi town", "chicago", "delhi", "delhi, india", "fresno", "la", "las vegas", "lax", "london", "london, England", "london, UK", "london, england", "long beach", "los angeles", "new york", "new york city", "ny", "nyc", "paris", "paris, france", "philadelphia", "philly", "phoenix, az", "portland", "sacramento", "san Francisco", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, wa", "sydney", "toronto", "toronto, ontario", "vancouver", "vancouver, BC", "vegas", "washington", "washington D.C.", "?" ] }, "has_laundry_service": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the house has laundry service", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "has_wifi": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the hotel has wifi", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "hotel_name": { "dataset_names": [ "sgd", "sgd" ], "description": "Name of the hotel", "possible_values": [ "none", "do not care", "1 Hotel Brooklyn Bridge", "1 Hotel Brooklyn bridge", "1 Hotel Central Park", "1 Hotel Central park", "1 Hotel brooklyn bridge", "1 hotel Brooklyn Bridge", "1 hotel brooklyn bridge", "1 hotel central park", "11 Howard", "28 Hotel Sydney", "28 hotel sydney", "45 Park Lane", "45 Park lane", "45 park Lane", "45 park lane", "57 Hotel", "57 hotel", "6 Columbus Hotel", "6 columbus hotel", "ABC Hyde Park", "ABC Hyde Park Hotel", "AC Hotel BY Marriott Chicago Downtown", "AC Hotel By MArriott Chicago Downtown", "AC Hotel By Marriott Atlanta Buckhead At Phipps Plaza", "AC Hotel By Marriott Beverly Hills", "AC Hotel By Marriott Chicago Downtown", "AC Hotel By Marriott Paris Porte Maillot", "AC Hotel by Marriott Atlanta Buckhead At Phipps Plaza", "AC Hotel by Marriott Atlanta Buckhead at Phipps Plaza", "AC Hotel by Marriott Atlanta Buckhead at Phipps plaza", "AC Hotel by Marriott Beverly Hills", "AC Hotel by Marriott Chicago Downtown", "AC Hotel by Marriott Paris Porte Maillot", "AC Hotel by Marriott beverly Hills", "AC hotel by Marriott Atlanta buckhead at phipps plaza", "AC hotel by Marriott Beverly Hills", "AC hotel by Marriott Chicago Downtown", "AC hotel by Marriott Paris Porte Maillot", "ALoft Phoenix Airport", "AMsterdam Hostel San Francisco", "ARgonaut Hotel", "Abc Hyde Park Hotel", "Abc Hyde Park hotel", "Abc hyde park hotel", "Abercorn House", "Abercorn house", "Ac Hotel By MArriott Beverly Hills", "Ac Hotel By Marriott Atlanta Buckhead AT Phipps Plaza", "Ac Hotel By Marriott Atlanta Buckhead At Phipps PLaza", "Ac Hotel By Marriott Atlanta Buckhead At Phipps Plaza", "Ac Hotel By Marriott Atlanta Buckhead at Phipps Plaza", "Ac Hotel By Marriott Atlanta Downtown", "Ac Hotel By Marriott Beverly Hills", "Ac Hotel By Marriott Beverly hills", "Ac Hotel By Marriott Chicago Downtown", "Ac Hotel By Marriott Paris POrte Maillot", "Ac Hotel By Marriott Paris Porte Maillot", "Ac Hotel By Marriott Paris Porte maillot", "Ac Hotel By Marriott chicago Downtown", "Ac Hotel By marriottt Beverly Hills", "Ac Hotel Chicago", "Ac Hotel Porte Maillot", "Ac Hotel by Marriott Atlanta Buckhead At Phipps Plaza", "Ac Hotel by Marriott Atlanta Buckhead at Phipps Plaza", "Ac Hotel by Marriott Atlanta Buckhead at Phipps plaza", "Ac Hotel by Marriott Atlanta Downtown", "Ac Hotel by Marriott Beverly Hills", "Ac Hotel by Marriott Beverly hills", "Ac Hotel by Marriott Chicago Downtown", "Ac Hotel by Marriott Paris Porte Maillot", "Ac Hotel by Marriott paris Porte Maillot", "Ac Hotel by Marriott paris porte maillot", "Ac Hotel downtown", "Ac hotel by MArriott Atlanta Downtown", "Ac hotel by marriottt atlanta buckhead at phipps plaza", "Ac hotel by marriottt beverly hills", "Accommodation London Bridge", "Ace Hotel Chicago", "Ace Hotel London", "Ace Hotel Seattle", "Ace hotel Seattle", "Ace hotel seattle", "Acme Hotel Company Chicago", "Adina Apartment Hotel Bondi Beach Sydney", "Adina Apartment Hotel Sydney Darling Harbour", "Adina Serviced Apartments Sydney Martin Place (Formerly Medina)", "Adria Hotel", "Airtel Plaza Hotel", "Airtel Plaza hotel", "Airways Hotel London Victoria", "Aka Central Park", "Aka Times Square", "Aka University City", "Aka University city", "Aka university City", "Aka university city", "Alila Bangsar", "Aloft Atlanta Downtown", "Aloft Chicago Downtown River North", "Aloft Kuala Lumpur Sentral", "Aloft New Delhi Aerocity", "Aloft New York Brooklyn", "Aloft PHiladelphia Downtown", "Aloft Philadelphia AIrport", "Aloft Philadelphia Airport", "Aloft Philadelphia Downtown", "Aloft Philadelphia airport", "Aloft Philadelphia downtown", "Aloft Phoenix Airport", "Aloft Portland Airport At Cascade Station", "Aloft Portland Airport at Cascade Station", "Aloft Portland airport at Cascade station", "Aloft philadelphia airport", "Aloft portland airport at cascade station", "Amastan Paris", "Amba Hotel Charing Cross", "Ambassador Chicago", "Amsterdam HOstel San Francisco", "Amsterdam Hostel San Francisco", "Amsterdam Hostel san Francisco", "Amsterdam hostel San Francisco", "Amsterdam hostel san Francisco", "Amsterdam hostel san francisco", "Anaheim Desert Inn And Suites", "Anaheim Desert Inn and Suites", "Anaheim Desert Inn and suites", "Anaheim Desert inn and Suites", "Anaheim Majestic Garden Hotel", "Anaheim Majestic garden hotel", "Anaheim Portofino Inn and Suites", "Anaheim Rv Park", "Anaheim desert INn and Suites", "Anaheim desert inn and suites", "Ancasa Hotel and Spa Kuala Lumpur", "Andaz Delhi A Concept By Hyatt", "Andaz Delhi A Concept by Hyatt", "Andaz Delhi A concept by Hyatt", "Andaz Delhi A concept by hyatt", "Andaz Delhi a Concept by Hyatt", "Andaz delhi", "Antoinette Hotel Wimbledon", "Aparthotel Adagio Access Paris La Villette", "Aparthotel Adagio Paris Montmartre", "Arc The.Hotel", "Arc the.Hotel", "Arc the.hotel", "Argonaut Hotel", "Argonaut hotel", "Arizona Grand Resort and Spa", "Arizona grand resort and spa", "Arthouse Hotel New York City", "Atrium Inn Vancouver", "Atrium inn vancouver", "Auberge Vancouver Hotel", "Ayres Hotel Anaheim", "Azure Hotel Nairobi Westlands", "Bahia Resort HOtel", "Bahia Resort Hotel", "Bahia Resort hotel", "Bahia resort Hotel", "Bahia resort hotel", "Banana Bungalow Hollywood Hostel", "Banana Bungalow Hollywood hostel", "Beck'S Motor Lodge", "Beck's Motor Lodge", "Bei Hotel San Francisco", "Belgrave House Hotel London Victoria", "Belltown Inn", "Belltown inn", "Belvedere Hotel", "Beresford Arms Hotel", "Best Western Bowery Hanbee", "Best Western Bretagne Montparnasse", "Best Western Burbank Airport Inn", "Best Western Burns", "Best Western JFK", "Best Western MIssion Bay", "Best Western Mission Bay", "Best Western Mission bay", "Best Western Of Long Beach", "Best Western Of Long beach", "Best Western Plus Bayside Inn", "Best Western Plus Chateau Granville Hotel and Suites and Conference Ctr.", "Best Western Plus Chateau Granville Hotel and Suites and conference Ctr.", "Best Western Plus Dragon Gate", "Best Western Plus Dragon Gate Inn", "Best Western Plus Hacienda Hotel Old Town", "Best Western Plus Las Vegas West", "Best Western Plus Las Vegas west", "Best Western Plus Las vegas West", "Best Western Plus Pioneer Square Hotel Downtown", "Best Western Plus Plaza", "Best Western Plus Portland Airport Hotel and Suites", "Best Western Plus Stovall'S", "Best Western Plus Sutter House", "Best Western Plus Sutter house", "Best Western Plus Toronto North York Hotel and Suites", "Best Western Plus Toronto North York hotel", "Best Western Plus sutter House", "Best Western Premier Toronto Airport Carlingview HOtel", "Best Western Premier Toronto Airport Carlingview Hotel", "Best Western Premier Toronto airport carlingview hotel", "Best Western Primrose Hotel Downtown Toronto", "Best Western Victoria Palace", "Best Western of Long Beach", "Best Western of long Beach", "Best western Burbank Airport Inn", "Best western Plus bayside Inn", "Best western of long beach", "Best western plus portland airport hotel and suites", "Best western plus sutter house", "Best western premier toronto airport carlingview hotel", "Beverly Hills Marriott", "Bisha Hotel Toronto", "Bloomrooms @ New Delhi Railway Station", "Bloomrooms @ new delhi railway station", "Blue Sea Beach", "Boro Hotel", "Budget Suites Of America", "Budget Suites of America", "Cambria Hotel North Scottsdale Desert Ridge", "Cambria Hotel Washington D.C. Convention Center", "Cambria Hotel Washington, D.C. Convention Center", "Cambridge Suites toronto", "Cambridge suites toronto", "Canal Loft Hotel", "Candlewood Suites Anaheim Resort Area", "Canopy By Hilton Portland Pearl District", "Canopy by Hilton Portland Pearl District", "Canopy by hilton portland pearl district", "Capitol Hill Hotel", "Capri By The Sea By All Seasons Resort Lodging", "Carlton Arms Hotel", "Casa Loma Hotel", "Catamaran Resort Hotel", "Catamaran Resort Hotel And Spa", "Catamaran Resort Hotel and Spa", "Chicago Athletic Association", "Chicago Lake Shore", "Chicago Marriott O'Hare", "Citadines Barbican London (Apart Hotel London)", "Citadines OpeRa Paris (Apart Hotel Paris)", "Citadines Place D'Italie Paris", "Citadines Tour Eiffel Paris", "Citadines TrocadeRo Paris (Apart Hotel Paris)", "City Club Hotel", "Clarion Inn", "Club Quarters Hotel Rockefeller Center", "Comfort Inn Buckingham Palace Road", "Comfort Inn Kings Cross", "Comfort Inn Midtown West", "Comfort Suites Michigan Avenue", "Comfort Suites Phoenix North", "Concorde Hotel", "Country Inn Portland", "Country Inn and SuiteS By Radisson, Portland International Airport, OR", "Country Inn and Suites By Radisson, Atlanta Downtown South At Turner Field, GA", "Country Inn and Suites By Radisson, Atlanta Downtown South At Turner Field, Ga", "Country Inn and Suites by Radisson, Atlanta Downtown South at Turner Field, Ga", "Country Inn and Suites by Radisson, Portland International Airport, Or", "Courtyard By Marriott Long Beach Airport", "Courtyard By Marriott Long Beach Downtown", "Courtyard By Marriott New York Downtown Manhattan/World Trade Center Area", "Courtyard By Marriott New York Manhattan/Chelsea", "Courtyard By Marriott Paris Gare de Lyon", "Courtyard By Marriott Portland Airport", "Courtyard By Marriott Portland City Center", "Courtyard By Marriott Sacramento Midtown", "Courtyard By Marriott San Diego Central", "Courtyard By Marriott Seattle Downtown/Lake Union", "Courtyard By marriottt Long Beach Airport", "Courtyard By marriottt long beach airport", "Courtyard by Marriott Long Beach Airport", "Courtyard by Marriott Long Beach Downtown", "Courtyard by Marriott New York Manhattan/Times Square West", "Courtyard by Marriott Paris Gare de Lyon", "Courtyard by Marriott Sacramento Midtown", "Courtyard by Marriott long beach airport", "Courtyard by marriottt new york downtown manhattan/world trade center area", "Crowne Plaza Atlanta Midtown", "Crowne Plaza Atlanta midtown", "Crowne Plaza JFK Airport New York City", "Crowne Plaza Los Angeles Airport", "Crowne Plaza Nairobi", "Crowne Plaza Nairobi Airport", "Crowne Plaza Nairobi airport", "Crowne Plaza Phoenix Airport", "Crowne Plaza Portland Downtown Conv Ctr", "Crowne Plaza Seattle Downtown", "Crowne Plaza seattle downtown", "Crowne plaza Atlanta Midtown", "Days Inn Broadway", "Days Inn By Wyndham San Francisco Downtown/Civic Cntr Area", "Days Inn San Francisco Downtown", "Dossier", "DoubleTree by Hilton Hotel Fresno Convention Center", "Doubletree By HIlton Hotel Sacramento", "Doubletree By Hilton Hotel Fresno Convention Center", "Doubletree By Hilton Hotel London Westminster", "Doubletree By Hilton Hotel Metropolitan New York City", "Doubletree By Hilton Hotel New York City Chelsea", "Doubletree By Hilton Hotel Sacramento", "Doubletree By Hilton Hotel San Diego Mission Valley", "Doubletree By Hilton Hotel San Pedro", "Doubletree By Hilton Hotel San Pedro Port Of Los Angeles", "Doubletree By Hilton Hotel San Pedro Port of Los Angeles", "Doubletree By hilton Hotel London Ealing", "Doubletree by Hilton Hotel Fresno Convention Center", "Doubletree by Hilton Hotel London Victoria", "Doubletree by Hilton Hotel London Westminster", "Doubletree by Hilton Hotel Sacramento", "Doubletree by Hilton Hotel San Diego Del Mar", "Doubletree by Hilton hotel Fresno Convention Center", "Embassy Suites Biltmore", "Embassy Suites Buckhead", "Embassy Suites By Hilton Phoenix Downtown North", "Embassy Suites By Hilton Portland Downtown", "Embassy Suites Downtown North", "Embassy Suites Portland", "Europe Hotel Paris Eiffel", "Eurostars Wall Street", "Euston Square Hotel", "Even Hotel Seattle Downtown", "Extended Stay America Orange County", "Fairfield Inn Buckhead", "Fairfield Inn Central Park", "Fairfield Inn Magnificent Mile", "Fairfield Inn and Suites By Marriott Atlanta Buckhead", "Fairfield Inn and Suites By Marriott New York Manhattan/Central Park", "Fairfield Inn and Suites Chicago Downtown/Magnificent Mile", "Four Points Airport Highway", "Four Points By Sheraton Los Angeles International Airport", "Four Points By Sheraton New York Downtown", "Four Points By Sheraton Philadelphia Airport", "Four Points Downtown", "Four Seasons Hotel Seattle", "Furama Bukit Bintang", "Gec Granville Suites", "Gold3 Boutique Hotel", "Grande Colonial La Jolla", "Grange Fitzrovia Hotel", "Grange Strathmore Hotel", "Grange Strathmore hotel", "Green Tortoise Hostel", "Ham Yard Hotel", "Hampton Inn Brooklyn/Downtown", "Hampton Inn Downtown", "Hampton Inn Las Vegas/Summerlin", "Hampton Inn Manhattan/Times Square Central", "Hampton Inn Ny Jfk", "Hampton Inn Portland Airport", "Hampton Inn and Suites Seattle Downtown", "Hanover Hotel Victoria", "Haveli Dharampura", "Hilton Checkers", "Hilton Checkers Los Angeles", "Hilton Garden Inn Jalan Tuanku Abdul Rahman North", "Hilton Garden Inn Mccormick Place", "Hilton Garden Inn Midtown Park Ave", "Hilton Garden Inn New Delhi/Saket", "Hilton Garden Inn New York Central Park South", "Hilton Garden Inn Phoenix Midtown", "Hilton Garden Inn Saket", "Hilton Garden Inn San Diego Del Mar", "Hilton Garden Inn Seattle Downtown", "Hilton London Kensington", "Hilton London Olympia", "Hilton Philadelphia At Penn'S Landing", "Hilton Philadelphia at Penn's Landing", "Hilton Phoenix Airport", "Hilton Sacramento Arden West", "Hilton woodland hills", "HoTel Marignan Champs ELyseEs", "HoTel Parister", "HoTel Pullman Paris Centre Bercy", "Holiday Inn Anaheim", "Holiday Inn Chicago O'Hare Area", "Holiday Inn Express", "Holiday Inn Express London", "Holiday Inn Express London Swiss Cottage", "Holiday Inn Express London Victoria", "Holiday Inn Express Paris Canal De La Villette", "Holiday Inn Express Sacramento Convention Center", "Holiday Inn Express Swiss Cottage", "Holiday Inn Express Victoria", "Holiday Inn Express and Suites La Jolla", "Holiday Inn Laguardia Airport", "Holiday Inn London Whitechapel", "Holiday Inn London West", "Holiday Inn Manhattan Financial District", "Holiday Inn Paris", "Holiday Inn Sacramento Convention Center", "Holiday Inn Sydney St Marys", "Holiday Inn Vancouver Centre", "Holiday Inn Whitechapel", "Holiday inn new delhi international airport", "Holiday inn parramatta", "Home Latin", "Homewood Suites", "Homewood Suites By HIlton Seattle Conv Ctr Pike Street", "Homewood Suites By Hilton Philadelphia City Avenue", "Homewood Suites Chicago Downtown", "Homewood Suites City Avenue", "Homewood Suites Del Mar", "Homewood Suites Mission Valley", "Homewood Suites Pike Street", "Hotel 32 32", "Hotel 91", "Hotel Beaugrenelle Tour Eiffel", "Hotel Beresford", "Hotel Carlingview Toronto Airport", "Hotel Current", "Hotel De Point", "Hotel Du Printemps Paris", "Hotel G", "Hotel Griffon", "Hotel Henri", "Hotel Ibis Paris Gare De Lyon Ledru Rollin 12eMe", "Hotel Ibis Paris Grands Boulevards Opera 9eMe", "Hotel Ibis Paris Opera La Fayette", "Hotel Indigo Atlanta Downtown", "Hotel Indigo Kensington", "Hotel Indigo London Paddington", "Hotel Indigo Paddington", "Hotel Indigo San Diego Gaslamp Quarter", "Hotel Iris", "Hotel Le Bleu", "Hotel Le Relais Du Marais", "Hotel Max", "Hotel Mercure London Bloomsbury", "Hotel Mercure London Paddington", "Hotel Metro Nyc", "Hotel Novotel London Excel", "Hotel Novotel London Paddington", "Hotel Novotel Paris Vaugirard Montparnasse", "Hotel Ocho", "Hotel Opera Cadet", "Hotel Paris Bercy", "Hotel Peyris Opera", "Hotel Relais Bosquet", "Hotel Shocard", "Hotel Spero", "Hotel Stripes", "Hotel Triton", "Hotel Vertigo", "Hotel Via", "Hotel Zeppelin", "Hotel du Printemps", "Hub By Premier Inn London King'S Cross", "Hub By Premier Inn London Westminster, St James'S Park", "Hub By Premier Inn Westminster", "Hyatt Centric The Pike", "Hyatt Centric The Pike Long Beach", "Hyatt Place Chicago/River North", "Hyatt Place Long Island City/New York City", "Hyatt Place New York/Midtown South", "Hyatt Place Washington DC/National Mall", "Hyatt Place Washington Dc/National Mall", "Hyatt Regency Washington On Capitol Hill", "Ibis Budget Wentworthville", "Ibis London City", "Ibis London City Shoreditch Hotel", "Ibis New Delhi Aerocity", "Ibis Sydney Airport", "Ibis Sydney World Square", "Inn At The Market", "Inn At Venice Beach", "Inn at Venice Beach", "Intercontinental los angeles downtown", "JW Marriott Hotel New Delhi Aerocity", "Jamison Hotel", "Jaslin Hotel", "Jules and Jim", "Jw Marriott Hotel New Delhi Aerocity", "K+K Hotel Cayre", "Karma Sanctum Soho", "Kawada Hotel", "Kensington Park Hotel", "Kensington Suite Hotel", "Kimpton Buchanan Hotel", "Kimpton Hotel Monaco Seattle", "Kimpton Hotel Palomar Los Angeles Beverly Hills", "Kimpton Hotel Seattle", "Kings Cross Inn", "Kip Hotel", "Kyriad Paris Bercy Village", "La Clef Louvre", "La Quinta Inn By Wyndham Fresno Yosemite", "La Quinta Inn Lax", "La Quinta Inn Sacramento", "La Quinta Inn Seattle", "La Quinta Inn Seaworld", "La Quinta Inn and Suites By Wyndham Las Vegas Summerlin Tech", "La Quinta Inn and Suites By Wyndham Lax", "La Quinta Inn and Suites By Wyndham San Diego Seaworld/Zoo", "La Quinta Inn and Suites By Wyndham Seattle Downtown", "La Quinta Inn and Suites by Wyndham Lax", "La Quinta Inn by Wyndham Fresno Yosemite", "Le Apple Boutique Hotel KLCC", "Le Germain Hotel Toronto Mercer", "Le MeRidien Kuala Lumpur", "Le Roch Hotel", "London Marriott Hotel Regents Park", "Luma Hotel Times Square", "MERITON SUITES NORTH", "Maison BreGuet", "Mama Shelter", "Mantra 2 Bond Street", "Mapple Emerald", "Marriott Vacation Club Mayflower", "Me London", "Meininger Hotel London Hyde Park", "Melia Vendome", "Melia White House", "Mercure London Hyde Park", "Meriton Suites Bondi Junction", "Millennium Gloucester Hotel London Kensington", "Moda Hotel", "Montecassino hotel", "Motel 6 San Diego Hotel Circle", "Motif Seattle", "Moxy Nyc Times Square", "New Road Hotel", "Night Theater District", "Nobleden Hotel", "Norfolk Plaza Hotel", "North Sydney Harbourview", "Novotel London Canary Wharf", "Novotel London Tower Bridge", "Novotel Sydney Parramatta", "Nu Hotel", "Ny Moore Hostel", "Oaks On Castlereagh", "Oaks on Castlereagh", "One Washington Circle", "Orana Hotels", "Ovolo 1888 Darling Harbour", "Ovolo 1888 darling harbour", "Pacific Express Hotel Central Market", "Palihotel Melrose", "Palmers Lodge Swiss Cottage", "Parc 55 San Francisco", "Park Grand London Hyde Park", "Park South Hotel", "Parkroyal Darling Harbour", "Pembridge Palace Hotel", "Penn'S View Hotel", "Piccadilly Inn Airport", "Pier One Sydney Harbour", "Pinnacle Hotel Harbourfront", "Point A Hotel Kings Cross", "Point A Hotel London Shoreditch", "Point A Hotel Shoreditch", "Premier Inn London Beckton", "Premier Inn London Edmonton", "Premier Inn London Eltham", "Premier Inn London Hampstead", "Premier Inn London Southwark", "Premier Inn London Wandsworth", "Qt Bondi", "Quality Inn", "Quest Bella Vista", "Quest North Ryde", "Radisson Admiral Hotel Toronto Harbourfront", "Radisson Blu Kenilworth", "Radisson Blu Plaza", "Radisson Hotel Jfk Airport", "Radisson Hotel Portland airport", "Radisson hotel Portland airport", "Ramada By Wyndham Phoenix Midtown", "Ramada by Wyndham Phoenix Midtown", "Red Lion Hotel On The River Jantzen Beach", "Red lion hotel on the river jantzen beach", "Refinery Hotel", "Renaissance New York Hotel 57", "Renaissance Paris Vendome", "Residence Inn Anaheim Resort/Convention Center", "Residence Inn By Marriott Chicago Downtown/River North", "Residence Inn By Marriott Long Beach", "Residence Inn By Marriott New York Manhattan/Midtown East", "Residence Inn By Marriott Vancouver Downtown", "Residence Inn Downtown", "Residence Inn Midtown East", "Residence Inn Portland", "Residence Inn River North", "Rodeway Inn Bronx Zoo", "Rodeway Inn Hollywood", "Roseate House London", "Royal Plaza Hotel", "SLS Hotel, A Luxury Collection Hotel, Beverly Hills", "SLS hotel", "San Diego Marriott La Jolla", "San Remo Hotel", "Sanctuary Hotel", "Sea Containers London", "Seraphine Hammersmith", "Seton Hotel", "Sheraton Philadelphia Society Hill", "Skye Hotel Suites Parramatta", "Skye Suites Sydney", "Smart Hyde Park Inn Hostel", "Smart Russell Square Hostel", "Sofitel Philadelphia", "Soho Garden Hotel", "Springhill Suites By Marriott Fresno", "Springhill Suites Fresno", "Springhill Suites by Marriott San Diego Downtown/Bayfront", "St Christopher's Inn Village ", "State Plaza hotel", "State plaza hotel", "Super 8 By Wyndham Downtown Toronto", "Super 8 Toronto", "Sure hotel", "Templar Hotel", "The Allen Hotel", "The American Hotel Atlanta Downtown A Doubletree", "The Ampersand Hotel", "The Anndore House", "The Arctic Club Seattle A Doubletree", "The Capsule Hotel", "The Cartwright Hotel", "The Chamberlain Hotel", "The Darlington Hyde Park", "The District", "The Georgetown Inn", "The Gore London", "The Gregory Hotel", "The Gwen", "The Inn At Sunset Cliffs", "The Inn At Union Square", "The Kensington Hotel", "The Kimberly Hotel", "The Kitano Hotel", "The Lalit New", "The Local Nyc", "The Marcel", "The Marmara Park Avenue", "The Muse Sarovar Portico Kapashera", "The Old Clare", "The Parc Hotel", "The Pelham London", "The Queen's Gate", "The Queens Park", "The River Hotel", "The Sebel Sydney Chatswood", "The Sydney Boulevard", "The Tuscany", "The Westin Chicago River North", "The Westin Kierland Resort", "The Westin Philadelphia", "The Westin Phoenix Downtown", "The Westin San Diego Gaslamp Quarter", "The Whitley", "The William Vale", "The Z Hotel Soho", "The belnord Hotel", "Thompson Seattle", "Thunderbird Boutique Hotel", "Timhotel Paris Place D'Italie", "Tivoli Garden Resort", "Toronto Marriott City Centre", "Town Inn Suites", "Towneplace Suites By Marriott San Diego Downtown", "Towneplace Suites Downtown", "Trademark Hotel", "Travelodge Anaheim Inn", "Travelodge By Wyndham San Francisco Central", "Travelodge London Battersea", "Travelodge London Central Marylebone", "Travelodge London Cricklewood", "Travelodge London Excel", "Travelodge London Farringdon", "Travelodge Seattle", "Travelodge by Wyndham Downtown", "Travelodge london central southwark", "Tropicana Inn", "Tryp New York City Times Square South", "Usa Hostels Hollywood", "Vacation Inn Phoenix", "Venice On The Beach", "Veriu Central", "Vibe Hotel North", "Viceroy Chicago", "Victory House", "Villa Hotel Saxe Eiffel", "Vivanta New Delhi", "W Kuala Lumpur", "Warner Center Marriott Woodland Hills", "Washington Court Hotel", "Washington Square Hotel", "Wombat'S City Hostel", "World Center Hotel", "Yha London St Pancras Hostel", "Yooma Urban Lodge", "Z Nyc Hotel", "abc hyde park hotel", "abercorn house", "ac hotel by Marriott chicago downtown", "ac hotel by Marriott paris porte maillot", "ac hotel by marriottt atlanta buckhead at phipps plaza", "ac hotel by marriottt beverly hills", "ac hotel by marriottt chicago downtown", "ac hotel by marriottt paris porte maillot", "ace hotel chicago", "ace hotel seattle", "acme hotel company chicago", "airtel plaza hotel", "aka University City", "aka university city", "aloft Philadelphia airport", "aloft Portland airport at cascade station", "aloft new delhi aerocity", "aloft philadelphia airport", "aloft phoenix airport", "aloft portland airport at cascade station", "amastan paris", "amsterdam hostel san francisco", "anaheim desert inn and suites", "anaheim majestic garden hotel", "andaz delhi a concept by hyatt", "argonaut hotel", "atrium inn Vancouver", "atrium inn vancouver", "auberge vancouver hotel", "bahia resort hotel", "banana bungalow hollywood hostel", "beck'S motor lodge", "bei hotel san francisco", "belltown inn", "best Western Of Long beach", "best Western Plus Bayside Inn", "best Western plus toronto north york hotel and suites", "best western of long beach", "best western plus chateau granville hotel and suites and conference ctr.", "best western plus las vegas west", "best western plus pioneer square hotel downtown", "best western plus portland airport hotel and suites", "best western plus san pedro hotel", "best western plus sutter house", "best western premier toronto airport carlingview hotel", "bisha hotel toronto", "budget suites of america", "cambria hotel washington, D.C. convention center", "canopy by hilton portland pearl district", "citadines barbican london", "comfort inn and suites portland airport", "comfort inn portland", "comfort inn victoria", "courtyard by marriottt sacramento midtown", "crowne plaza seattle downtown", "dorsett city", "dorsett shepherds bush", "doubletree by hilton hotel fresno convention center", "doubletree by hilton hotel sacramento", "four points by sheraton manhattan soho village", "four points by sheraton philadelphia airport", "four points soho", "four seasons hotel los angeles at beverly hills", "grange fitzrovia hotel", "holiday inn express sacramento convention center", "holiday inn new delhi airport", "hotel mercure paris place d'italie", "hotel relais bosquet", "hyatt centric the pike long beach", "hyatt place chicago/river north", "ibis budget sydney airport", "la quinta inn and suites by wyndham las vegas summerlin tech", "la quinta inn by wyndham fresno yosemite", "mystic hotel", "premier inn london hackney", "primus hotel sydney", "salisbury hotel", "springhill suites by marriottt seattle downtown/south lake union", "springhill suites seattle", "the Allen Hotel", "the Belnord Hotel", "the Darling Hotel", "the Grosvenor Hotel", "the darlington hyde park", "the westbury mayfair", "washington square hotel" ] }, "location": { "dataset_names": [ "sgd", "sgd" ], "description": "Location of the hotel", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Atlanta", "Atlanta Ga", "Atlanta, GA", "Berlin", "Cape Town", "Cape town", "Chi Town", "Chi town", "Chicago", "DC", "Delhi", "Delhi, India", "District of Columbia", "Fresno", "Fresno, CA", "KL", "Kuala Lumpur", "LA", "LAX", "Las VEgas", "Las Vegas", "Lax", "London", "London England", "London UK", "London, England", "London, UK", "London, Uk", "Long Beach", "Long Beach, CA", "Long beach", "Long beach, CA", "Los Angeles", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "New york", "New york city", "Paris", "Paris France", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland, OR", "Rio", "Rio de Janeiro", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "San diego", "San francisco", "Seattle", "Seattle WA", "Seattle, WA", "Sydney", "Sydney Australia", "Sydney NSW", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Washington", "Washington D.C.", "Washington, D.C.", "anaheim", "atlanta", "chi town", "chicago", "dc", "delhi", "district of Columbia", "fresno", "kl", "la", "las vegas", "lax", "london", "london, UK", "london, england", "long beach", "los angeles", "new york", "new york city", "ny", "nyc", "paris", "paris, france", "philadelphia", "portland", "portland, or", "sacramento", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "seattle", "sydney", "sydney, australia", "toronto, ontario", "vancouver, bc", "?" ] }, "number_of_adults": { "dataset_names": [ "sgd" ], "description": "Number of people for the reservation", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5" ] }, "number_of_days": { "dataset_names": [ "sgd" ], "description": "Number of days in the reservation", "possible_values": [ "none", "do not care", "1", "10", "12", "2", "3", "4", "5", "8", "Four", "One", "TWELVE", "Three", "Two", "four", "one", "thirteen", "three", "two" ] }, "number_of_rooms": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Number of rooms in the reservation", "possible_values": [ "none", "do not care", "1", "2", "3" ] }, "pets_welcome": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if pets are allowed in the hotel", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "phone_number": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Phone number of the hotel", "possible_values": [ "?" ] }, "place_name": { "dataset_names": [ "sgd" ], "description": "Name of the accommodation", "possible_values": [ "none", "do not care", "1 Hotel Brooklyn BRidge", "1 Hotel Brooklyn Bridge", "1 Hotel Central Park", "1 Hotel Central park", "1 hotel Brooklyn bridge", "1 hotel brooklyn bridge", "11 Howard", "11 howard", "12 Apostles Hotel and Spa", "1831 Boutique Hotel", "28 Hotel Sydney", "28 hotel sydney", "45 Park Lane", "45 Park lane", "45 park Lane", "45 park lane", "57 Hotel", "57 hotel", "6 Columbus Central Park Hotel", "6 Columbus Central Park hotel", "6 Columbus Hotel", "6 columbus central park hotel", "AC Hotel By Marriott Beverly Hills", "AC Hotel By Marriott Chicago Downtown", "AC Hotel By Marriott Paris Porte Maillot", "AC Hotel New York Times Square", "AC Hotel by Marriott Atlanta Downtown", "AC Hotel by Marriott Beverly Hills", "AC hotel by Marriott Beverly Hills", "AMSTERDAM Hostel San Francisco", "Abbey Court Hotel (Hyde Park)", "Abbey Court Hotel (hyde park)", "Abc Hyde Park Hotel", "Abercorn House", "Abercorn house", "Ac Hotel By Marriott Atlanta Buckhead At Phipps Plaza", "Ac Hotel By Marriott Atlanta Buckhead at Phipps Plaza", "Ac Hotel By Marriott Atlanta Downtown", "Ac Hotel By Marriott Beverly Hills", "Ac Hotel By Marriott Beverly hills", "Ac Hotel By Marriott Chicago Downtown", "Ac Hotel By Marriott Paris Porte Maillot", "Ac Hotel By Marriott Phoenix Biltmore", "Ac Hotel New York Times Square", "Ac Hotel by Marriott Atlanta Buckhead At Phipps Plaza", "Ac Hotel by Marriott Beverly Hills", "Ac Hotel by Marriott Chicago Downtown", "Ac Hotel by Marriott Paris Porte Maillot", "Accommodation London Bridge", "Ace Hotel Chicago", "Ace Hotel London", "Ace Hotel Seattle", "Ace hotel Seattle", "Acme Hotel Company", "Acme Hotel Company Chicago", "Adina Apartment Hotel Sydney Darling Harbour", "Adina Apartment Hotel Sydney Darling harbour", "Adria Hotel and Conference Center", "Airtel Plaza Hotel", "Airtel Plaza hotel", "Airways Hotel London Victoria", "Aka Rittenhouse Square", "Aka University City", "Alamo Inn and Suites", "Alila Bangsar", "Aloft Atlanta Downtown", "Aloft Harlem", "Aloft Kuala Lumpur Sentral", "Aloft New Delhi Aerocity", "Aloft Philadelphia Airport", "Aloft Philadelphia Downtown", "Aloft Phoenix Airport", "Aloft Portland Airport At Cascade Station", "Aloft Portland Airport at Cascade Station", "Alpha Genesis Hotel", "Alpha Hotel Eastern Creek", "Amastan Paris", "Amba Hotel Charing Cross", "Amba Hotel Marble Arch", "Ambassador Chicago", "Amora Hotel", "Amora Hotel Jamison Sydney", "Amsterdam Hostel San Francisco", "Anaheim Desert Inn And Suites", "Anaheim Desert Inn and Suites", "Anaheim Executive Inn", "Anaheim Majestic Garden Hotel", "Anaheim Portofino Inn and Suites", "Anaheim RV Park", "Andaz Delhi A Concept By Hyatt", "Aparthotel Adagio Access Paris La Villette", "Aparthotel Adagio Paris Montmartre", "Arc The. Hotel Washington D.C.", "Arc The.Hotel", "Arc the. Hotel Washington D.C.", "Arcotel John f Berlin", "Arenaa Star Hotel", "Argonaut Hotel", "Arizona Grand Resort and Spa", "Arriva Hotel", "Assembly Hotel London", "Astor Hyde Park Hostel", "Atlantico Copacabana Hotel", "Atrium Inn Vancouver", "Auberge Vancouver hotel", "Azure Hotel Nairobi Westlands", "Bahia Resort Hotel", "Bahia Resort hotel", "Banana Bungalow Hollywood Hostel", "Banana Bungalow Hollywood", "Beck'S Motor Lodge", "Beck's Motor Lodge", "Bei Hotel San Francisco", "Belltown Inn", "Beresford Arms Hotel", "Best Western Hollywood Plaza Inn", "Best Western Los Angeles Worldport Hotel", "Best Western Mission Bay", "Best Western Of Long Beach", "Best Western Plus Bayside Inn", "Best Western Plus Chateau Granville Hotel and Suites and Conference Ctr.", "Best Western Plus Las Vegas West", "Best Western Plus Las vegas West", "Best Western Plus Pavilions", "Best Western Plus Pioneer Square Hotel Downtown", "Best Western Plus Portland Airport Hotel and Suites", "Best Western Plus Sutter House", "Best Western Plus Toronto North York Hotel and Suites", "Best Western Premier Toronto Airport Carlingview Hotel", "Best Western Primrose Hotel Downtown Toronto", "Best Western San Diego/Miramar Hotel", "Best Western hollywood Plaza Inn", "Best Western of Long Beach", "Best Western of long Beach", "Best Western plus Las Vegas West", "Best western of long beach", "Beverly Hills Marriott", "Beverly Laurel Motor Hotel", "Bisha Hotel Toronto", "Bklyn House Hotel", "Bloomrooms @ New Delhi Railway Station", "Blues Point Hotel", "Bogart Hotel", "Brach Paris", "Brach paris", "Broadway Hotel and Hostel", "Broadway International Hotel and Hostel", "Budget Suites Of America", "Budget Suites of America", "Cambria Hotel Washington, D.C. Convention Center", "Camps Bay Retreat Boutique Hotel", "Canopy By Hilton Portland Pearl District", "Cape Town Lodge Hotel", "Capri By Fraser Kuala Lumpur", "Catamaran REsort Hotel and Spa", "Catamaran Resort Hotel And Spa", "Catamaran Resort Hotel and Spa", "Central park West Hostel", "Ceria Hotel Bukit Bintang", "Chancellor Hotel on Union Square", "Chelsea Bridge Apartments", "Chicago Getaway Hostel", "Chicago Lake Shore Hotel", "Clarion Hotel Portland International Airport", "Clarion Hotel Portland international airport", "Clh Suites Copacabana Domingos Ferreira", "Coast Coal Harbour Vancouver Hotel By Apa", "Container Hotel", "Courtyard By Marriott Long Beach Airport", "Courtyard By Marriott Long Beach Downtown", "Courtyard By Marriott Sacramento Cal Expo", "Courtyard By Marriott Sacramento Midtown", "Courtyard By Marriott Seattle Downtown/Lake Union", "Courtyard by Marriott Sacramento Cal Expo", "Crowne Plaza Los Angeles Airport", "Crowne Plaza Nairobi", "Crowne Plaza Seattle Downtown", "Days Inn San Diego Hotel Circle Near Seaworld", "Devonshire Club By Mantis", "Doubletree By Hilton Hotel Fresno COnvention Center", "Doubletree By Hilton Hotel Fresno Convention Center", "Doubletree By Hilton Hotel Sacramento", "Doubletree Suites By Hilton Hotel Anaheim Resort Convention Center", "Doubletree by Hilton Hotel Fresno Convention Center", "Dream Hollywood", "Embassy Suites By Hilton Atlanta Buckhead", "Embassy Suites By Hilton Seattle Downtown Pioneer Square", "Embassy Suites by Hilton Sacramento Riverfront Promenade", "Estancia La Jolla Hotel and Spa", "Exchange Hotel Vancouver", "Fairfield Inn and Suites by Marriott Philadelphia Downtown/Center City", "Four Seasons Hotel London at Ten Trinity Square", "Gec Granville Suites Hotel", "Grand Hyatt Seattle", "Grande Colonial La Jolla", "Green Tortoise Hostel San Francisco", "Hampton Inn Las Vegas/Summerlin", "Hampton Inn Long Beach Airport", "Harbor Court Hotel", "Hilton Checkers Los Angeles", "Hilton Philadelphia At Penn'S Landing", "Hilton Philadelphia At Penn's Landing", "Holiday Inn Express and Suites Atlanta Downtown", "Homewood Suites By Hilton Sacramento Airport Natomas", "Hotel Fairmont Grand Del Mar", "Hotel G", "Hyatt Centric The Pike Long Beach", "Hyatt Regency Long Beach", "Hyatt Regency Sacramento", "Inn At Venice Beach", "Inn at Venice Beach", "Intercontinental Washington D.C. The Wharf", "Kimpton Hotel Monaco Philadelphia", "La Quinta Inn and Suites By Wyndham Lax", "Oasis At Gold Spike", "PIccadilly Inn Airport", "Piccadilly Inn Airport", "Rodeway Inn Center City", "The Logan Philadelphia, Curio Collection by Hilton", "The Ritz Carlton, Toronto", "The Whitley, A Luxury Collection Hotel, Atlanta Buckhead", "Travelodge By Wyndham San Francisco Central", "abc hyde park hotel", "ac hotel by marriottt beverly hills", "ac hotel by marriottt chicago downtown", "ac hotel new york times square", "ace hotel london", "ace hotel seattle", "acme hotel company", "aka rittenhouse square", "aka university city", "aloft portland airport at cascade station", "amsterdam court hotel", "anaheim desert inn and suites", "aparthotel adagio access paris la villette", "aparthotel adagio paris montmartre", "arc the. hotel Washington D.C.", "arc the.hotel", "argonaut hotel", "atrium inn vancouver", "bahia resort hotel", "banyan tree kuala lumpur", "bei hotel san francisco", "best western bretagne montparnasse", "best western mission bay", "best western of long beach", "best western plus las vegas west", "best western plus pioneer square hotel downtown", "best western plus sutter house", "best western plus toronto north york hotel and suites", "budget suites of America", "castle inn and suites", "courtyard by marriottt long beach airport", "doubletree by hilton hotel fresno convention center", "dunes inn wilshire", "fairfield inn by marriottt sacramento cal expo", "hilton philadelphia at penn's landing", "hotel spero", "sheraton grand Sacramento hotel" ] }, "price": { "dataset_names": [ "sgd" ], "description": "Total price for the stay", "possible_values": [ "?" ] }, "price_per_night": { "dataset_names": [ "sgd", "sgd" ], "description": "Price per night for the reservation", "possible_values": [ "?" ] }, "rating": { "dataset_names": [ "sgd" ], "description": "Review rating of the house", "possible_values": [ "none", "do not care", "2.6", "2.7", "2.8", "2.9", "3.0", "3.1", "3.2", "3.3", "3.4", "3.5", "3.6", "3.7", "3.8", "3.9", "4.0", "4.1", "4.2", "4.3", "4.4", "4.5", "4.6", "4.7", "?" ] }, "smoking_allowed": { "dataset_names": [ "sgd" ], "description": "Whether or not smoking is allowed inside the place", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "star_rating": { "dataset_names": [ "sgd", "sgd" ], "description": "Star rating of the hotel", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "?" ] }, "stay_length": { "dataset_names": [ "sgd" ], "description": "Length of stay in days", "possible_values": [ "none", "do not care", "1", "10 or more", "2", "3", "4", "5", "6", "7", "8", "9" ] }, "street_address": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Address of the hotel", "possible_values": [ "?" ] }, "total_price": { "dataset_names": [ "sgd" ], "description": "Price per night of the house", "possible_values": [ "?" ] }, "where_to": { "dataset_names": [ "sgd" ], "description": "Location of the house", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Anaheim, Ca", "Atlanta", "Atlanta, GA", "Berlin", "Cape Town", "Chi Town", "Chi town", "Chicago", "DC", "Delhi", "Delhi, India", "District of Columbia", "Fresno", "Fresno, CA", "KL", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "London", "London England", "London UK", "London, England", "London, UK", "London, Uk", "London, england", "Long Beach", "Long Beach, CA", "Long beach", "Long beach, ca", "Los Angeles", "Los angeles", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "New york city", "Ny", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland, OR", "Rio", "Rio de Janeiro", "SD", "SF", "SFO", "Sacramento", "Sacramento Ca", "Sacramento, CA", "Sacramento, Ca", "San DIego", "San Diego", "San Fran", "San Francisco", "San fran", "Seattle", "Seattle, WA", "Seattle, Wa", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vegas", "Washington", "Washington D.C.", "anaheim, ca", "berlin", "chi town", "chicago", "la", "london", "long beach", "long beach, ca", "los angeles", "nairobi", "nairobi, kenya", "new delhi", "new york city", "ny", "nyc", "paris", "paris, France", "philadelphia", "phoenix", "portland", "sacramento", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, WA", "seattle, wa", "sydney", "vancouver", "vancouver, bc", "vegas", "washington" ] } }, "media": { "actors": { "dataset_names": [ "sgd" ], "description": "Name of an actor starring in the movie", "possible_values": [ "none", "do not care", "Adriana Altaras", "Alexis Bobrinskoy", "Alfred Hitchcock", "Alida Baldari Calabria", "Alix Talton", "Amadeus Strobl", "America Ferrera", "Anna Katharina Schimrigk", "Bob Hastings", "Brian Stepanek", "Bruce Willis", "Buddy Guy", "Chris Lovick", "Claire Tran", "Claude de Martino", "Colin Farrell", "Coral Browne", "Dan DiMaggio", "Dimiter Marinov", "Don Hewitt", "Doris Day", "Edd Osmond", "Elsa Palmer", "Enuka Okuma", "Ex Det. Sergt. Bishop", "Gregory Gaye", "Harry Fleer", "James Stewart", "Jeanette Aw", "Judith Hofmann", "Julia Jenni Karagioules", "KEvin Bergsma", "Katharine Isabelle", "Larry Barton", "Larry Jenkins", "Laurence Herder", "Leslie Nielsen", "Mahershala Ali", "Mark Seliger", "Matt Walsh", "Michael Buffer", "Milton Frome", "Missi Pyle", "P. J. Byrne", "Paul Davis", "Penelope Mitchell", "Randall Park", "Rome Flynn", "Seiko Matsuda", "Shayn Solberg", "Stephen Boxer", "Stycie Waweru", "Taylor Schilling", "Thomas Martin", "Tom Virtue", "Vince Pisani", "Wendell Pierce", "jack white", "jeffrey sayre", "johnny myers", "quentin kenihan", "stuart lilley", "tone bell", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "directed_by": { "dataset_names": [ "sgd" ], "description": "Name of the director of the movie", "possible_values": [ "none", "do not care", "Alfred Hitchcock", "Alfred hitchcock", "Anna Boden", "Anthony Maras", "Brian De Palma", "Brian de Palma", "Cameron Crowe", "Chris Butler", "Chris butler", "Christian Petzold", "Claire Denis", "David Sandberg", "Dean DeBlois", "Dean Deblois", "Elaine May", "Eric Khoo", "Garth Davis", "George Miller", "George Sidney", "George sidney", "Harry Elfont", "Harry elfont", "Hiroyasu Ishida", "Iain Softley", "James Kent", "Jenny Gage", "Jia Zhangke", "Joel Coen", "Jonathan Levine", "Jonathan levine", "Justin Kelly", "Kevin Kolsch", "Laura Steinel", "Laure de Clermont Tonnerre", "Likarion Wainaina", "Madeleine Olnek", "Madeleine olnek", "Malik Bendjelloul", "Martin Scorsese", "Matteo Garrone", "Max Minghella", "Michael Chaves", "Michael Gordon", "Michael Schultz", "Morton DaCosta", "Neil Burger", "Neil Marshall", "Neil burger", "Nia DaCosta", "Orson Welles", "Peter Farrelly", "Qui Sheng", "Rachel Lears", "Robert Budreau", "Robert budreau", "Robin BIssell", "Robin Bissell", "Ronald Neame", "Roxann Dawson", "Simon Jaquemet", "Stanley Kubrick", "Stephen Merchant", "Tim Burton", "Tina Gordon", "Tom McCarthy", "Trevor Nunn", "Tyler Perry", "alfred hitchcock", "anna boden", "anthony maras", "chris butler", "david sandberg", "dean deblois", "garth davis", "george sidney", "harry Elfont", "jia zhangke", "justin kelly", "laura steinel", "likarion wainaina", "madeleine olnek", "martin scorsese", "max minghella", "michael Chaves", "michael chaves", "qui sheng", "robert budreau", "ronald neame", "stephen merchant", "tim burton", "tyler perry", "?" ] }, "director": { "dataset_names": [ "sgd" ], "description": "Name of the director of the movie", "possible_values": [ "none", "do not care", "Alfred Hitchcock", "Anna Boden", "Brian De Palma", "Cameron Crowe", "Claire Denis", "David Sandberg", "Dean DeBlois", "Garth Davis", "George Sidney", "Harry Elfont", "Iain Softley", "Jenny Gage", "Kevin Kolsch", "Laure de Clermont tonnerre", "Likarion Wainaina", "Martin Scorsese", "Michael Gordon", "Morton DaCosta", "Morton Dacosta", "Neil Marshall", "Peter Farrelly", "Robin Bissell", "Ronald Neame", "Simon Jaquemet", "Tim Burton", "Trevor Nunn", "Tyler Perry", "alfred hitchcock", "eric khoo", "george miller", "morton dacosta", "peter farrelly", "tina gordon", "?" ] }, "genre": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Genre of the movie", "possible_values": [ "none", "do not care", "Action", "Adventure", "Animation", "Anime", "Biographical", "Bizarre story", "Cartoon", "Comedy", "Comedy drama", "Comic", "Crime", "Crime story", "Cult", "Detective", "Documentary", "Drama", "Dramatic Story", "Dramatic story", "Eccentric story", "Exotic", "Family", "Fantasy", "Fight", "Foreign story", "Funny", "Future scientific fiction", "Gangster", "Ghost", "Global", "Horror", "Imaginative fiction", "Kids", "Life History", "Life history", "Love Story", "Love story", "Mafia", "Musical", "Mystery", "Non Fiction", "Non fiction", "Offbeat", "Play", "Rom com", "Romance", "Romantic", "Scary", "Sci fi", "Science related", "Scientific fiction", "Song", "Sports", "Supernatural", "Suspense", "Thriller", "Violent", "War", "action", "adventure", "animation", "anime", "biographical", "bizarre story", "cartoon", "comedy", "comedy drama", "comic", "crime", "crime story", "cult", "detective", "documentary", "drama", "dramatic story", "eccentric story", "exotic", "family", "fantasy", "fight", "foreign", "foreign story", "funny", "future scientific fiction", "gangster", "ghost", "horror", "imaginative fiction", "kids", "life history", "love story", "mafia", "musical", "mysterious", "mystery", "non fiction", "offbeat", "play", "rom com", "romance", "romantic", "scary", "sci fi", "scientific fiction", "song", "sports", "supernatural", "suspense", "thriller", "tragic drama", "violent", "war", "?" ] }, "movie_name": { "dataset_names": [ "sgd" ], "description": "Name of the movie", "possible_values": [ "none", "do not care", "A Madea Family FUneral", "A Madea Family Funeral", "A madea family funeral", "After", "Auntie Mame", "Auntie mame", "Body Double", "Breakthrough", "Captain MArvel", "Captain Marvel", "Citizen Kane", "DOgman", "Dogman", "Dr. Strangelove", "Dumbo", "Family", "Fighting with Family", "Fighting with my Family", "Gloria Bell", "Green Book", "Hackers", "Hellboy", "High Life", "How to Train Your Dragon", "Innocent", "JT LeRoy", "Josie and the Pussycats", "Last Dragon", "Little", "Long Shot", "Man Who Knew Too Much", "Mary Magdalene", "Mikey and Nicky", "Penguin HIghway", "Penguin Highway", "Pet Sematary", "Pillow Talk", "Poseidon Adventure", "Ramen Shop", "Red Joan", "Say Anything", "Searching for Sugar Man", "Shazam", "Shazam!", "Shine A Light", "Shine a Light", "Shine a light", "Suburban Birds", "Supa Modo", "Teen Spirit", "The Aftermath", "The Best of Enemies", "The Invisibles", "The Man Who Knew Too Much", "The Mustang", "The Poseidon Adventure", "True Grit", "Viva Las Vegas", "a madea family funeral", "after", "auntie mame", "body double", "dogman", "family", "green book", "hackers", "high life", "josie and the pussycats", "little", "mad max: fury road", "mikey and nicky", "ramen shop", "the Poseidon Adventure", "the man who knew too much" ] }, "price": { "dataset_names": [ "sgd" ], "description": "Cost of renting movie", "possible_values": [ "?" ] }, "starring": { "dataset_names": [ "sgd" ], "description": "Celebs acting in the movie", "possible_values": [ "none", "do not care", "Adam Sietz", "Alex Kendrick", "Alexandre Bourgeois", "Aliza Vellani", "Ana de Armas", "Andrea Frigerio", "Ani Sava", "Anri Katsu", "Anthony Jackson", "Ari Cohen", "Ashraf Farah", "Betsy Widhalm", "Bill Thurman", "Bobby Nish", "Brad Pitt", "Brad parker", "Brady Noon", "Brandon Keener", "Brenda Vaccaro", "Bret McKenzie", "Bronagh Gallagher", "Bruce Willis", "Camilla Rutherford", "Carol Sutton", "Cecil Parker", "Christina Ann Zalamea", "Christoph Maria Herbst", "Claudia Doumit", "Constance Wu", "Cy Young", "Dan Bittner", "Daniel Veronese", "Daria Ekamasova", "Darren Eisnor", "David Aston", "David Shaughnessy", "Dean Norris", "Debbie McCann", "Dennis Price", "Devan Richardson", "Donnie Keshawarz", "Dylan McDermott", "Ed Sheeran", "Edie Martin", "Elijah Wood", "Ellise Chappell", "Emilio Cuaik", "Emma Nelson", "Eric Clark", "Fatma Mohamed", "Francis Wright", "Gale J. Odom", "Gene Rader", "Gil Bellows", "Grady Sutton", "Gwendoline Christie", "Harumi Shuhama", "Ian Hendry", "Ian Holm", "Ian McKellen", "Inbal Amirav", "Isabelle Grill", "Jack Melford", "Jakob Dylan", "James Keane", "Jamie Kennedy", "Javier Botet", "Jeremy Ray Taylor", "John Bach", "John Schwab", "John Travolta", "Joseph Millson", "Julia Ragnarsson", "Julia Roberts", "Julia Stiles", "Justin Dreyfuss", "Kate McKinnon", "Katharine Hepburn", "Katie Johnson", "Keira Knightley", "Kirk Raymond", "Kristen Schaal", "Kulvinder Ghir", "Kumiko Izumi", "Lawrence Makoare", "Lee Eisenberg", "Leland Orser", "Leonard Sharp", "Leslie Jones", "Lil Rel Howery", "Lizzo", "Louise Peterhoff", "Madeline Brewer", "Madge Brindley", "Madisen Beaty", "Maisa Abd Elhadi", "Margaret Early", "Marianne Jean Baptiste", "Matt Smith", "Meera Ganatra", "Megan Mullally", "Mette Towley", "Micah Stock", "Michael Garza", "Michael Gilden", "Michaela Watkins", "Michelle Caspar", "Michelle Phillips", "Mikey Madison", "Milo O'Shea", "Monica Dolan", "Morgan Freeman", "Nadim Sawalha", "Natalie Finland", "Norman Bartold", "Owen Teague", "Patch Darragh", "Peter Dinklage", "Peter Greene", "Peter Jackson", "Phil LaMarr", "Piper Perabo", "Prashant Narayanan", "Purab Kohli", "Rebecca Gayheart", "Rebecca Rittenhouse", "Robert Coote", "Roberts Blossom", "Roman Reigns", "Ronald Young", "Ryan Kiera Armstrong", "Sala Baker", "Samuel L. Jackson", "Samuel S. Hinds", "Sean Astin", "Shelley Thompson", "Shinichiro Ohta", "Shishir Sharma", "Stephanie Vogt", "Stro", "Thurop Van Orman", "Timothy Bateson", "Tom Hanks", "Tom Hodges", "Tom Skerritt", "Trace Lysette", "Travis Harrison", "Tzi Ma", "Ula Tabari", "Vanessa Przada", "Vincent Andriano", "Vladislav Galard", "Warwick Davis", "Yaniv Biton", "anri katsu", "arthur lowe", "christopher walken", "dean norris", "mikey day", "shaun dooley", "?" ] }, "subtitle_language": { "dataset_names": [ "sgd", "sgd" ], "description": "Language to use for subtitles (or None for no subtitles)", "possible_values": [ "none", "do not care", "English", "French", "Hindi", "Mandarin", "None", "Spanish" ] }, "subtitles": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if subtitles are desired for this movie", "possible_values": [ "none", "do not care", "False", "True" ] }, "title": { "dataset_names": [ "sgd", "sgd" ], "description": "Title of the movie", "possible_values": [ "none", "do not care", "47 Meters Down: Uncaged", "47 meters down: uncaged", "A Faithful Man", "A Madea Family Funeral", "A madea Family Funeral", "A madea family funeral", "Ad Astra", "After", "After The Wedding", "After the WEdding", "After the Wedding", "Aftermath", "Angel Has Fallen", "Angry Birds", "Angry birds", "Ash Is Purest White", "Ash is Purest White", "Auntie Mame", "Auntie mame", "Blackmail Cinemix Par Chloe", "Blinded By the Light", "Blinded by the Light", "Body Double", "Breakthrough", "Brittany Runs a Marathon", "Captain Marvel", "Captain marvel", "Chhichhore", "Citizen Kane", "Close Encounters", "Close Encounters of the Third Kind", "Close encounters", "Curse of La Llorona", "DR. Strangelove", "Dogman", "Dr. STrangelove", "Dr. Strangelove", "Dumbo", "Echo", "Echo In The Canyon", "Echo in the Canyon", "Fabric", "Family", "Family Funeral", "Farewell", "Fiddler", "Fiddler: A Miracle of Miracles", "Fighting With My Family", "Fighting with Family", "Fighting with My Family", "Fighting with family", "Fighting with my Family", "Give Me Liberty", "Give me Liberty", "Gloria Bell", "Gloria bell", "Good Boys", "Greek wedding", "Green Book", "Green book", "Hackers", "Hellboy", "High Life", "High life", "Hobbs and Shaw", "Hotel Mumbai", "How To Train Your Dragon", "How To Train Your Dragon: The Hidden World", "How To Train your Dragon: The Hidden World", "How to Train Your Dragon", "How to Train Your Dragon: The Hidden World", "How to Train Your Dragon: the Hidden World", "How to Train your Dragon", "How to train your dragon", "How to train your dragon: the hidden world", "Hustlers", "IT Chapter Two", "IT chapter two", "Innocent", "It Chapter Two", "JT LeRoy", "JT leroy", "Josie and the Pussycats", "Josie and the pussycats", "Knock Down The House", "Knock Down the House", "Knock down the house", "Labyrinth", "Ladykillers", "Last Dragon", "Last dragon", "Little", "Little Woods", "Live flesh", "Long Shot", "Long shot", "Lord of the Rings", "Lord of the rings", "Luce", "Mad Max", "Mad Max: Fury Road", "Madeline", "Madeline's Madeline", "Madmax", "Man Who Knew Too Much", "Mary Magdalene", "Midsommar", "Mikey and Nicky", "Missing Link", "Missing link", "Mission Mangal", "My Big Fat Greek WEdding", "My Big Fat Greek Wedding", "Official Secrets", "Once Upon A Time In Hollywood", "Once Upon a Time", "Once Upon a Time In Hollywood", "Once Upon a Time in Hollywood", "Once upon a Time", "Once upon a time in Hollywood", "Once upon a time in hollywood", "One Cut of the Dead", "Overcomer", "Paprika", "Penguin Highway", "Pet Sematary", "Pet sematary", "Pillow Talk", "Poseidon Adventure", "Pulp Fiction", "Ramen Shop", "Ramen shop", "Red Joan", "Riot Girls", "Rojo", "Saaho", "Say Anything", "Scary Stories to Tell in the Dark", "Scary Stories to tell in the Dark", "Searching for Sugar Man", "Shazam", "Shazam!", "Shine A Light", "Shine a Light", "Shine a light", "Stage Door", "Steel Magnolias", "Stockholm", "Suburban Birds", "Suburban birds", "Sunset", "Supa Modo", "Supa modo", "Teen Spirit", "Teen spirit", "Tel Aviv on Fire", "The Aftermath", "The Angry Birds", "The Angry Birds Movie", "The Angry Birds Movie 2", "The Art of Racing in the Rain", "The Art of Self Defense", "The Best of Enemies", "The Curse of La Llorona", "The Farewell", "The Innocent", "The Invisibles", "The Ladykillers", "The Last Dragon", "The Load", "The Lord of the RIngs: The Return of the King", "The Lord of the Rings", "The Lord of the Rings three", "The Lord of the Rings: The Return of the King", "The Man Who Knew Too Much", "The Mustang", "The Poseidon Adventure", "The Upside", "The Visitor", "The aftermath", "The birds movie", "The curse of La llorona", "The curse of la llorona", "The lord of the rings", "The vegas movie", "The visitor", "Theatre of Blood", "This is not Berlin", "Tigers are not Afraid", "Toy Story 4", "Toy story four", "Transit", "True Grit", "Upside", "Visitor", "Viva Las Vegas", "Where would you go", "Where'd You Go, Bernadette", "Wild Nights", "Wild Nights With Emily", "Wild Nights with Emily", "Wild nights", "Yesterday", "Zama", "a faithful man", "a madea family funeral", "after the wedding", "ash is purest white", "auntie mame", "body double", "captain marvel", "citizen kane", "dogman", "dumbo", "family", "farewell", "green Book", "hackers", "high life", "hobbs and shaw", "hotel mumbai", "how to train your dragon", "how to train your dragon: The hidden world", "josie and the pussycats", "little", "lord of the rings", "mad max: fury road", "madmax", "mary magdalene", "mikey and nicky", "missing link", "once upon a time", "paprika", "pulp fiction", "ramen shop", "scary stories", "searching for sugar man", "shazam!", "steel magnolias", "stockholm", "supa modo", "teen spirit", "the Aftermath", "the Angry Birds Movie", "the Best of Enemies", "the Lord of the Rings three", "the Mustang", "the Poseidon Adventure", "the aftermath", "the man who knew too much", "the poseidon adventure", "the upside", "the visitor", "theatre of blood", "visitor", "viva las vegas", "wild nights with emily" ] } }, "messaging": { "contact_name": { "dataset_names": [ "sgd" ], "description": "Name of contact to send to", "possible_values": [ "none", "do not care", "Aaron", "Abigail", "Adam", "Alan", "Albert", "Alexis", "Alice", "Amanda", "Amber", "Amy", "Andrea", "Andrew", "Ann", "Anna", "Anthony", "Ashley", "Austin", "Barbara", "Benjamin", "Betty", "Beverly", "Billy", "Bobby", "Brandon", "Brenda", "Brittany", "Bruce", "Bryan", "Carl", "Carol", "Carolyn", "Catherine", "Charles", "Christian", "Christina", "Christopher", "Cynthia", "Daniel", "Danielle", "David", "Deborah", "Denise", "Dennis", "Donald", "Donna", "Doris", "Dorothy", "Douglas", "Dylan", "Edward", "Elizabeth", "Emily", "Emma", "Eric", "Ethan", "Eugene", "Evelyn", "Frances", "Frank", "Gerald", "Grace", "Hannah", "Harold", "Heather", "Helen", "Henry", "Jack", "Jacob", "Jacqueline", "James", "Janet", "Janice", "Jason", "Jean", "Jeffrey", "Jennifer", "Jeremy", "Jerry", "Jesse", "Jessica", "Joe", "John", "Johnny", "Jonathan", "Jordan", "Jose", "Joseph", "Joshua", "Joyce", "Juan", "Judith", "Judy", "Julie", "Justin", "Karen", "Katherine", "Kathleen", "Kathryn", "Kayla", "Keith", "Kelly", "Kenneth", "Kevin", "Kimberly", "Kyle", "Larry", "Lauren", "Lawrence", "Linda", "Lisa", "Logan", "Lori", "Louis", "MArie", "Madison", "Margaret", "Maria", "Mark", "Mary", "Matthew", "Megan", "Melissa", "Michael", "Nancy", "Natalie", "Nathan", "Nicholas", "Nicole", "Noah", "Olivia", "Pamela", "Patricia", "Patrick", "Paul", "Peter", "Philip", "Rachel", "Ralph", "Randy", "Raymond", "Rebecca", "Richard", "Robert", "Roger", "Ronald", "Rose", "Roy", "Russell", "Ruth", "Ryan", "Samantha", "Samuel", "Sandra", "Sara", "Sarah", "Scott", "Sean", "Sharon", "Shirley", "Sophia", "Stephen", "Steven", "Teresa", "Terry", "Theresa", "Thomas", "Timothy", "Tyler", "Victoria", "Vincent", "Virginia", "Walter", "William", "Willie", "albert", "bobby", "christopher", "emma", "joe", "julia", "larry", "laura", "nicholas", "rachel", "sharon", "sophia", "teresa", "walter" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "location": { "dataset_names": [ "sgd" ], "description": "Location to share with contact", "possible_values": [ "none", "do not care", "1 Vivian Street", "100 Devon Avenue", "1010 Power Avenue", "1012 Oak Grove Avenue", "1047 Lincoln Highway Suite 101", "1047 Lincoln Highway suite 101", "1047 lincoln Highway suite 101", "1047 lincoln highway suite 101", "1059 Reed Avenue", "10944 San Pablo Avenue # 800", "111 Seminary Drive", "115 De Anza Boulevard", "1174 Solano Avenue", "1186 south 2nd street", "120 Marina Drive", "1216 South Abel Street", "1221 Donnelly Avenue", "12221 San Pablo Avenue", "1241 Arnold Drive", "1275 Central Boulevard", "1282 Mattox Road", "12th Avenue Arts", "1306 Saratoga Avenue", "1355 Broadway", "139 South B Street", "1400 A Street", "1460 Halford Avenue", "1475 167th Avenue", "15 Fiesta Lane", "1501 Tara Hills Drive", "1502 1/2 Webster St", "1512 Locust Street", "1532 20th Street", "1546 Maurice Lane", "1550 Valley Glen Drive", "15824 Hesperian Blvd", "1599 Sanchez Street", "16 Mint Plaza", "16 mint plaza", "1600 Buchanan Road", "16250 East 14th Street", "1633 Marina Court", "1637 Lincoln Avenue", "16530 Monterey Road", "1655 Post Street", "1688 Clayton Road", "1690 Locust Street", "17385 Monterey Road", "1754 Polk Street", "1760 Polk Street", "1775 Park Avenue", "1775 park avenue", "1880 Solano Avenue", "1880 solano avenue", "1888 Solano Avenue", "1890 West San Carlos Street", "1901 Shore Line Drive", "1971 San Pablo Avenue", "199 Aegean Way", "2000 Shoreline Loop", "20667 Forge Way", "20686 Homestead Road", "208 Redwood Avenue", "2160 South Bascom Avenue", "2180 Third Street", "2190 Bancroft Way", "2203 Loveridge Road", "2212 North Texas Street", "2221 South Shore Center", "2225 Sharon Road", "2240 North Texas Street", "2241 First Street", "2260 Palm Avenue", "2305 Camino Ramon #202", "2355 Fairfield Avenue", "240 Kottinger Drive", "2425 California Street # C", "243 O'Farrell Street", "25 East 1st Street", "25 Kentucky Street", "25 Lusk Street", "25100 Cypress Avenue", "25173 Cypress Avenue", "255 North 1st Street", "2556 Telegraph Avenue #4", "2589 Main Street", "26100 Gading Road", "2737 20th Street", "275 Hawthorne Avenue", "298 Gough Street", "30 St Mary Axe (The Gherkin)", "301 Country View Lane # A", "3082 Marlow Road", "325 Sharon Park Drive Ste F 2", "3500 Pennsylvania Avenue # 101", "360 CHICAGO", "3734 West Belmont Avenue", "3810 Mowry Avenue", "3820 Park Boulevard", "3912 MacArthur Boulevard", "3950 Middlefield Road", "3D Toronto sign", "40 Millwood Street", "400 east remington drive", "40001 Fremont Boulevard", "408 14th Street", "416 Boynton Avenue", "4275 First Street", "443 Emerson Street", "450 East El Camino Real", "4550 Tassajara Road", "4656 Quigg Drive", "4748 West Campbell Avenue", "4801 Telegraph Avenue", "5005 Montoya Avenue", "5154 Mowry Avenue", "520 8th Ave. Personal Valet Parking", "524 Van Ness Avenue", "5371 Mowry Avenue", "555 East El Camino Real", "5643 Charlotte Way", "5945 Almaden Expressway #150", "611 Enterprise Drive", "613 Cabot Way", "620 Main Street", "6221 Montecito Boulevard", "640 Hegenberger Road", "6469 Redwood Drive", "6493 Portola Drive", "660 Gail Avenue", "67 Broadway", "73 North Keeble Avenue", "7377 Saint Helena Highway", "8 Kenneth Rexroth Place", "855 El Camino Real Building #1 Suite #3", "859 University Avenue", "9/11 Tribute Museum", "900 Cambridge Drive", "900 Meadowood Lane", "939 Edgewater Boulevard E", "940 Blossom Hill Road", "947 Branham Lane # C", "951 Pomona Avenue", "960 Moraga Road #1", "968 Ralston Avenue", "978 Almaden Lake Drive", "9900 Sonoma Highway", "ANZ Stadium", "Admiralty Arch", "Adventure Island", "Aga Khan Museum", "Air And Space Museum", "Al Farooq Masjid", "Alcatraz", "Alexandra Palace", "Alki Beach Park", "Alley Pond Park", "Alte Nationalgalerie", "American Church in Paris", "Angels Flight Railway", "Apsley House", "Aquarium of the Bay", "Arte Carrillo Gil Museum", "August Hall", "BODY WORLDS London", "Benito Juarez Airport", "Benito Juarez International Airport", "Bethesda Terrace", "Big Apple Circus", "Cal Coast Credit Union Amphitheater", "California Arts Academy", "Cars Land", "Cent Quatre", "Center for Contemporary Art Ujazdowski Castle", "Central Park Zoo", "Chicago Airport", "Chop Shop", "Clayton Valley", "Cognacq Jay Museum", "Covington Way", "Crossroads at House of Blues Anaheim", "Discovery Park", "Downtown", "Dulles International Airport", "Estacion Buenavista", "Fleet Science Center", "Fresno Station", "Fresno Yosemite International Airport", "Gatwick International Airport", "German Spy Museum", "Grand Central Station", "Heathrow Airport", "Heathrow International Airport", "Indira Gandhi Airport", "Indira Gandhi International Airport", "Intercity Terminal", "JFK International Airport", "Jomo Kenyatta International Airport", "KLIA International Airport", "King Street Station", "Kuya's asian cuisine", "LAX International Airport", "Lake Terrace Apartments", "Leasing Office, 6600 Montecito Boulevard", "Madison Square Park", "Market Broiler Fremont", "Maurizio's", "McCarran International Airport", "Mendoza's Restaurant", "Mojo Theatre", "Newmark Theatre", "O'Hare International Airport", "Orly International Airport", "PHL International Airport", "Pacific Central Station", "Park Lane Apartments", "Peachtree Station", "Phoenix Sky Harbor Airport", "Plumed Horse", "Port Authority Station", "Portland Bus Station", "Rainbow Ballroom", "Rich Mix", "SAN International Airport", "SFO International Airport", "STage Door Repertory Theatre", "San Francisco Symphony", "Santa Fe Depot", "Shoe Box Theater", "Stage Door Repertory Theatre", "Staten Island Children's Museum", "Studio C Artists", "Sutro Baths", "Talent to aMuse Theatre Co", "Tao Tao", "The Artistic Home", "The Fillmore Philadelphia", "The Van Buren", "Theatre Deli Deli Bar and Rehearsal Studios", "Theatre Raymond Kabbaz", "Toronto Pearson International Airport", "Union PLaza", "Union Plaza", "Union Station", "Upright Citizens Brigade Sunset", "anz stadium", "california arts academy", "crossroads at House of Blues Anaheim", "dearing acting studio", "downtown", "studio c artists" ] } }, "movies": { "aggregate_rating": { "dataset_names": [ "sgd" ], "description": "Aggregate user rating for movie, scale of 10", "possible_values": [] }, "cast": { "dataset_names": [ "sgd" ], "description": "Actors in the movie", "possible_values": [ "none", "do not care", "Akiko Kawase", "Alex King", "Aoi Mizuhara", "Aryn Wright Thompson", "Betsy Widhalm", "Bill Hader", "Bruce Willis", "C.J. Rush", "Camila Sosa", "Carol Sutton", "Chris Reilly", "Christopher Malcolm", "Claudia Doumit", "Conleth Hill", "Daniel Camp", "Danny John Jules", "Dolly Parton", "Dominic Monaghan", "Doug Erholtz", "Duane Whitaker", "Enid Raye Adams", "Eugene Dynarski", "Fiona Reid", "Franklin Pangborn", "Gavin Brocker", "Gwendoline Christie", "Hattie Morahan", "Ian Hendry", "Ian Hughes", "J. Patrick McNamara", "Jack Carson", "James Corden", "James Keane", "James Shapkoff III", "Javier Bardem", "Jennifer Connelly", "Jennifer Lopez", "Joey Fatone", "Josef Sommer", "Josh Barclay Caras", "Josh Gad", "Kathy Griffin", "Katsunosuke hori", "Kelvin Harrison Jr.", "Klaudia Garcia", "Lawrence Bender", "Leland Orser", "Lena Dunham", "Lil Rel Howery", "Lisa Tharps", "Lori Pelenise Tuisano", "Lucia Oskerova", "Martin Kove", "Max Pava", "Maya Hawke", "McKinley Belcher III", "Mel Brooks", "Merrill Connally", "Michaela Watkins", "Monica Dolan", "Nancy Parsons", "Nikita Mehta", "Pete Davidson", "Prabhas", "Rhys Ifans", "Rob Brydon", "Robert R. Morgan", "Ronald Young", "Sanjay Kapoor", "Sarah McLeod", "Sophia Di Martino", "Steve Terada", "Steve Whitmire", "Sunita Mani", "Supreet Reddy", "Timothy Dalton", "Tony Hale", "Tzi Ma", "Utkarsh Ambudkar", "Vanessa Przada", "Vincent Andriano", "Ving Rhames", "Yuri Lowenthal", "Zach Woods", "Zoe Bell", "Zoe Margaret Colletti", "eric stoltz", "noah gaynor", "ryan reynolds", "sterling K. Brown", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "directed_by": { "dataset_names": [ "sgd" ], "description": "Director of the movie", "possible_values": [ "none", "do not care", "Alex Kendrick", "Alexander Mackendrick", "Ari Aster", "Bart Freundlich", "Danny Boyle", "David Leitch", "Gavin Hood", "Gene Stupnitsky", "Gregory La Cava", "Gurinder Chadha", "Hari Sama", "Herbert Ross", "Herbert ross", "Jagan Shakti", "James Gray", "Jim Henson", "Joel Zwick", "Josephine Decker", "Josh Cooley", "Jovanka Vuckovic", "Kirill Mikhanovsky", "Lulu Wang", "Nitesh Tiwari", "Paul Downs Colaizzo", "Peter Jackson", "Peter Strickland", "QUentin Tarantino", "Quentin Tarantino", "Riley Stearns", "Sameh Zoabi", "Satoshi Kon", "Simon Curtis", "Steven Spielberg", "Sujeeth", "Thurop Van Orman", "ari aster", "david leitch", "quentin tarantino", "?" ] }, "director": { "dataset_names": [ "sgd" ], "description": "Name of director of the movie", "possible_values": [ "none", "do not care", "Alfred Hitchcock", "Anna Boden", "Brian De Palma", "Claire Denis", "David Sandberg", "Elaine May", "Harry Elfont", "Iain Softley", "Iain softley", "Jenny Gage", "Jonathan Levine", "Kevin Kolsch", "Malik Bendjelloul", "Martin Scorsese", "Matteo Garrone", "Michael Chaves", "Morton DaCosta", "Neil Marshall", "Nia DaCosta", "Peter Farrelly", "Robin Bissell", "Tim Burton", "Tina Gordon", "Tom McCarthy", "alfred hitchcock", "dean deblois", "george sidney", "harry elfont", "jenny gage", "kevin kolsch", "morton dacosta", "tim burton", "?" ] }, "genre": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Genre of the movie", "possible_values": [ "none", "do not care", "Action", "Adventure", "Animation", "Anime", "Biographical", "Bizarre Story", "Bizarre story", "Cartoon", "Comedy", "Comedy drama", "Comic", "Crime", "Cult", "Documentary", "Drama", "Dramatic Story", "Dramatic story", "Eccentric Story", "Eccentric story", "Exotic", "FIght", "Family", "Fantasy", "Fight", "Funny", "Future scientific fiction", "Ghost", "Horror", "Imaginative fiction", "Kids", "Life History", "Life history", "Musical", "Mysterious", "Mystery", "Non Fiction", "Non fiction", "Offbeat", "Play", "Rom Com", "Rom com", "Romance", "Romantic", "Scary", "Sci Fi", "Sci fi", "Science related", "Scientific fiction", "Supernatural", "Suspense", "THriller", "Thriller", "Violent", "War", "World", "action", "adventure", "animation", "biographical", "bizarre story", "cartoon", "comedy", "comic", "crime", "detective", "documentary", "drama", "dramatic story", "eccentric story", "family", "fantasy", "fight", "foreign", "funny", "gangster", "ghost", "horror", "kids", "life history", "love story", "musical", "mysterious", "mystery", "non fiction", "offbeat", "play", "rom com", "romance", "romantic", "scary", "supernatural", "suspense", "thriller", "violent", "war", "?" ] }, "location": { "dataset_names": [ "sgd" ], "description": "City where the theatre is located", "possible_values": [ "none", "do not care", "Alameda", "Albany", "Antioch", "Berkeley", "Brentwood", "Campbell", "Castro Valley", "Cloverdale", "Concord", "Daly City", "Daly city", "Danville", "Dublin", "El Cerrito", "Emeryville", "Fairfax", "Fairfield", "Fremont", "Gilroy", "Hayward", "Healdsburg", "Hillsborough", "Larkspur", "Livermore", "Los Gatos", "MIll Valley", "Martinez", "Menlo Park", "Menlo park", "Mill Valley", "Milpitas", "Moraga", "Morgan Hill", "Mountain View", "Mountain view", "Napa", "Newark", "Novato", "Oakland", "Orinda", "Palo Alto", "Petaluma", "Pittsburg", "Pleasant Hill", "Redwood CIty", "Redwood City", "Richmond", "Rohnert Park", "SF", "SFO", "San Bruno", "San Fran", "San Francisco", "San Jose", "San Leandro", "San Rafael", "San Ramon", "San bruno", "San fran", "San jose", "San leandro", "Santa Clara", "Santa ROsa", "Santa Rosa", "Santa clara", "Sebastopol", "Sonoma", "Tiburon", "Union City", "Vacaville", "Vallejo", "Walnut Creek", "Walnut creek", "alameda", "albany", "antioch", "berkeley", "brentwood", "campbell", "concord", "danville", "fairfield", "fremont", "healdsburg", "larkspur", "livermore", "martinez", "moraga", "mountain view", "napa", "newark", "novato", "oakland", "palo alto", "petaluma", "pleasant hill", "rohnert park", "san fran", "san francisco", "san jose", "san leandro", "san rafael", "san ramon", "santa rosa", "sebastopol", "sf", "sfo", "sonoma", "vallejo", "walnut creek" ] }, "movie_name": { "dataset_names": [ "sgd" ], "description": "Name of the movie", "possible_values": [ "none", "do not care", "47 Meters DOwn: Uncaged", "47 Meters Down", "47 Meters Down: Uncaged", "A Faithful Man", "A Madea Family Funeral", "A madea family funeral", "Ad Astra", "Ad astra", "After", "After The Wedding", "After the Wedding", "Aftermath", "Angel Has Fallen", "Angel has fallen", "Ash Is Purest White", "Ash Is Purest white", "Ash is Purest White", "Auntie Mame", "Blinded by the Light", "Body Double", "Body double", "Breakthrough", "Brittany Runs a Marathon", "Brittany runs a marathon", "Captain MArvel", "Captain Marvel", "Captain marvel", "Chhichhore", "Citizen Kane", "Citizen kane", "Curse of La LLorona", "Curse of La Llorona", "Curse of La llorona", "DUmbo", "Dogman", "Dr. Strangelove", "Dumbo", "Echo in the Canyon", "Fabric", "Family", "Farewell", "Fiddler", "Fiddler: A MIracle of Miracles", "Fiddler: A Miracle of Miracles", "Fighting with My Family", "Fighting with my family", "Give Me Liberty", "Gloria Bell", "Good Boys", "Green Book", "HOtel Mumbai", "Hackers", "Hellboy", "High Life", "High life", "Hobbs and Shaw", "Hotel Mumbai", "How To Train Your Dragon", "How to Train Your Dragon", "How to Train Your Dragon: The Hidden World", "How to Train your Dragon: The Hidden World", "How to train your dragon", "Hustlers", "IT Chapter TWO", "IT Chapter TWo", "IT Chapter Two", "IT Chapter two", "IT chapter Two", "IT two", "IT2", "In Fabric", "Innocent", "Invisibles", "JT LeRoy", "JT Leroy", "Josie and the Pussycats", "Knock Down The House", "Labyrinth", "Ladykillers", "Last Dragon", "Little", "Little Woods", "Little woods", "Long Shot", "Long shot", "Luce", "Mad Max", "Mad Max: Fury Road", "Mad max", "Madeline", "Mary Magdalene", "Midsommar", "Mikey and Nicky", "Missing Link", "Missing link", "Mission Mangal", "Official Secrets", "Once Upon a Time", "Once Upon a Time In Hollywood", "Once Upon a Time in Hollywood", "Once upon a Time", "Once upon a time in hollywood", "One Cut of the Dead", "Overcomer", "Penguin Highway", "Pet Sematary", "Pillow Talk", "Poseidon Adventure", "Racing in Rain", "Racing in rain", "Racing in the Rain", "Racing in the rain", "Ramen Shop", "Red Joan", "Saaho", "Say Anything", "Scary Stories to Tell in the Dark", "Searching for Sugar Man", "Searching for sugar man", "Shazam", "Shazam!", "Shine a Light", "Stage Door", "Stockholm", "Suburban Birds", "Sunset", "Supa Modo", "Teen Spirit", "The Aftermath", "The Angry Birds", "The Angry Birds Movie 2", "The Art of Racing in the Rain", "The Best of Enemies", "The Curse of La Llorona", "The Farewell", "The Innocent", "The Invisibles", "The Ladykillers", "The Last Dragon", "The Load", "The Lord of the Rings", "The Lord of the Rings three", "The Man Who Knew Too Much", "The Man Who knew Too Much", "The Mustang", "The Poseidon Adventure", "The Upside", "The Visitor", "The aftermath", "The art of Racing in the rain", "The best of Enemies", "The curse of la llorona", "The vegas movie", "This Is Not Berlin", "Toy Story 4", "Toy Story Four", "Transit", "Upside", "Viva Las Vegas", "Where would you go", "Where'd You Go", "Wild Nights", "Wild Nights with Emily", "Yesterday", "Zama", "a faithful man", "after", "after the wedding", "ash is purest white", "breakthrough", "captain marvel", "citizen kane", "curse of la llorona", "dogman", "dumbo", "family", "hellboy", "high Life", "hotel mumbai", "knock down the house", "little", "missing link", "official secrets", "penguin highway", "pet sematary", "pillow talk", "ramen shop", "red joan", "scary stories", "shazam", "shazam!", "teen spirit", "the Best of Enemies", "the best of enemies", "the curse of la llorona", "the man who knew too much", "where'd you go, bernadette", "wild nights with emily" ] }, "movie_title": { "dataset_names": [ "sgd" ], "description": "Name of the movie", "possible_values": [] }, "number_of_tickets": { "dataset_names": [ "sgd" ], "description": "Number of the movie tickets to be purchased", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "6", "7", "8", "9" ] }, "percent_rating": { "dataset_names": [ "sgd" ], "description": "Average critic percentage rating", "possible_values": [] }, "price": { "dataset_names": [ "sgd" ], "description": "Price per ticket", "possible_values": [ "?" ] }, "show_date": { "dataset_names": [ "sgd" ], "description": "Date of the show", "possible_values": [ "none", "do not care", "10th of March", "10th of this month", "14th of this month", "15th of March", "15th of this month", "16th of March", "16th of this Month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of this month", "Friday next week", "Later today", "MArch 1st", "MArch 2nd", "March 10th", "March 11th", "March 14th", "March 15th", "March 16th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next weeK", "Monday next week", "Next Friday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Saturday this week", "Sunday this week", "The 1st", "The 4th", "The 9th", "This Saturday", "This Sunday", "This saturday", "Thursday next week", "Today", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "later today", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next monday", "next wednesday", "the 10th", "the 11th", "the 14th", "the 15th", "the 16th", "the 17th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "today", "tomorrow", "tuesday next week" ] }, "show_time": { "dataset_names": [ "sgd" ], "description": "Time of the show", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "show_type": { "dataset_names": [ "sgd" ], "description": "Type of show", "possible_values": [ "none", "do not care", "3d", "imax", "regular" ] }, "starring": { "dataset_names": [ "sgd" ], "description": "Name of actor starring in movie", "possible_values": [ "none", "do not care", "ALix Talton", "Alan Arkin", "Amy Seimetz", "Annemarie Lawless", "Bob Odenkirk", "Brother Eden Douglas", "Byron Webster", "Carson Daly", "Charlie Ray Reid", "Chuck Waters", "Cooper Andrews", "Corinne Reilly", "Craig Wasson", "David Albiero", "Derek Morgan", "Dimiter Marinov", "Don Hewitt", "Edward Manouk", "Everett Sloane", "Frank Bourke", "Fred Sadoff", "Frederick Preston", "Gianluca Gobbi", "Gladys Holland", "Gordon Tanner", "Haaz Sleiman", "Harmoni Everett", "Huang Lu", "Irit Sheleg", "Jacob Lemieux", "Jacqueline Brogan", "James Badge Dale", "Jeff Harding", "Jeremy St. James", "Joanna Frank", "Khadijha Red Thunder", "Larry Jenkins", "Michael Bennett", "Michael Cumpsty", "Michael Gross", "Michael Harris", "Mike Colter", "O'Shea Jackson Jr.", "Peter Camlin", "Phillip Langhorne", "Rose Arrick", "Sam Rockwell", "Sean Patrick Thomas", "Shayn Solberg", "Taraji P. Henson", "Walter Mudu", "Walter the Dog", "edward manouk", "glenn walker harris jr.", "julia meade", "lucas lavoie", "mitchell nguyen mccormick", "patric knowles", "rand harper", "samuel larsen", "serena altschul", "yi zhang", "?" ] }, "street_address": { "dataset_names": [ "sgd" ], "description": "Address of the theatre", "possible_values": [ "?" ] }, "theater_name": { "dataset_names": [ "sgd" ], "description": "Name of the theatre", "possible_values": [ "none", "do not care", "3 Below THeaters and Lounge", "3 Below Theaters And Lounge", "3 Below Theaters and Lounge", "3 Below Theaters and lounge", "3rd Street Cinema", "3rd Street cinema", "AMC Bay Street", "AMC Brentwood", "AMC Deer Valley", "AMC Eastridge", "AMC Kabuki 8", "AMC Mercado", "AMC Metreon", "AMC NewPark", "AMC Saratoga", "AMC mercado 20", "AMC saratoga", "Airport Stadium 12", "Airport Stadium Cinemas", "Alameda Theatre and Cineplex", "Alameda theatre and cineplex", "Alamo Drafthouse Cinema", "Albany Twin", "Amc Deer Valley", "Balboa Theatre", "Boulevard 14 Cinema", "Boulevard Cinema", "Brenden Vacaville", "Brenden Vacaville 16", "Brenden, Vacaville", "California Theatre", "Century", "Century 16", "Century 16 Downtown", "Century 20 Daly City and XD", "Century 20 Great Mall and XD", "Century 20 Oakridge and XD", "Century 25 Union Landing and XD", "Century Blackhawk Plaza", "Century Cinema", "Century Cinemas", "Century Daly City", "Century Downtown", "Century Great Mall", "Century Hilltop", "Century Larkspur", "Century Napa Valley", "Century Napa Valley and XD", "Century Napa valley", "Century Northgate", "Century Oakridge", "Century Redwood City", "Century Redwood City Downtown 20 and XD", "Century Redwood city", "Century Regency", "Century Rowland Plaza", "Century San Francisco Centre", "Century San Francisco Centre 9 and XD", "Century Union Landing", "Century Vallejo", "Century Walnut Creek", "Century at Hayward", "Century at Pacific Commons", "Century at Pacific Commons and XD", "Century at Tanforan", "Century at Tanforan and XD", "Century cinemas", "CineArts at Sequoia", "CineLux Almaden", "CineLux Almaden Cinema", "CineLux Plaza Theatre", "CineLux Tennant Station", "Cinelux Almaden", "Cinelux Tennant Station", "Cinemark", "Clay Theatre", "Contra Costa", "Edwards Fairfield", "Embarcadero Center Cinema", "Four Star Theatre", "Grand Lake Theatre", "Guild Theatre", "Guild theatre", "Landmark's Opera Plaza Cinema", "Landmark's Piedmont Theatre", "Landmark's Shattuck Cinemas", "Landmark's california theatre", "Landmark's opera plaza cinema", "Landmark's shattuck cinemas", "Lark Theater", "Livermore 13 Cinema", "Livermore Cinema", "Livermore cinema", "Los Gatos Theatre", "Marina Theatre", "Maya Pittsburg Cinemas", "New Parkway Theater", "Opera Plaza", "Orinda Theatre", "Piedmont Theatre", "Presidio Theatre", "Pruneyard Cinemas", "Pruneyard Dine In Cinemas", "Pruneyard cinemas", "Raven Film Center", "Raven Film center", "Reading Cinemas Rohnert Park", "Regal Cinemas Crow Canyon 6", "Regal Cinemas Jack London 9", "Regal Crow Canyon", "Regal Jack London", "Regal UA Berkeley", "Regal UA Stonestown Twin", "Rheem Theatre", "Rheem theatre", "Rialto Cinemas", "Rialto Cinemas Cerrito", "Roxie Theater", "Roxy Stadium 14", "Roxy Stadium Cinemas", "SFMOMA Phyllis Wattis Theater", "Shattuck Cinemas", "Shattuck cinemas", "ShowPlace ICON", "ShowPlace ICON Valley Fair", "Smith Rafael Film Center", "Sonoma Cinema", "Sonoma cinema", "Stanford Theatre", "Stanford theatre", "Summerfield Cinemas", "THE LOT City Center", "THE LOT city center", "THE LOt City Center", "The Clover Theater", "The LOT City Center", "The Lot City Center", "The lot City Center", "Tiburon Playhouse", "United Artists Berkeley", "United Artists Stonestown Twin", "Veranda LUXE Cinema", "Veranda Luxe Cinema", "Vine Cinema", "Vogue Theatre", "West Wind Capitol Drive In", "West Wind Capitol Drive in", "albany twin", "amc deer valley", "amc kabuki 8", "amc mercado", "amc metreon", "amc newpark", "amc saratoga", "balboa theatre", "boulevard 14 cinema", "boulevard cinema", "california theatre", "century 16", "century Vallejo", "century blackhawk plaza", "century cinema", "century cinemas", "century larkspur", "century napa valley", "century regency", "century san francisco centre", "century vallejo", "century walnut creek", "clay theatre", "edwards fairfield", "embarcadero center cinema", "landmark's opera plaza cinema", "landmark's piedmont theatre", "landmark's shattuck cinemas", "livermore 13 cinema", "livermore cinema", "marina theatre", "opera plaza", "piedmont theatre", "raven Film Center", "reading cinemas rohnert park", "rheem theatre", "roxie theater", "shattuck cinemas", "stanford theatre", "the Lot City Center", "the lot city center", "united artists stonestown twin", "vogue theatre", "west wind capitol drive in", "?" ] }, "title": { "dataset_names": [ "sgd" ], "description": "Title for movie", "possible_values": [] } }, "music": { "album": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Album the song belongs to", "possible_values": [ "none", "do not care", "A SOe Htae Ka A Kaung", "A Star Is Born Soundtrack", "A Star is Born Soundtrack", "A War You Cannot Win", "A War You cannot win", "A war you cannot win", "Adobe Sessions", "After The Landslide", "After the Landslide", "Alkaline Masterpiece", "All The Little Lights", "All the little lights", "Always In Between", "Amos", "Ana Keteer", "Anesthetic", "Arcadia", "Assume Form", "Badlands", "Barefoot Blue Jean Night", "Battleground", "Best Kind of Mess", "Bigger", "Bittersweet", "Black Smoke Rising", "Black Widow", "Blastoff Blues", "Blonde", "Blood", "Blues of Desperation", "Borbena", "Born This Way", "Brave Enough", "Brave enough", "Bu Muhabbat", "Built On Glass", "Built on Glass", "Burlesque Original Motion Picture Soundtrack", "California Sunrise", "Camila", "Captured", "Center Point Road", "Chief", "Climate Change", "Cloud Nine", "Confident", "Contraband", "Count Me In", "Covers", "Crash My Party", "Creeker", "Crooked Teeth", "Crust Fm", "Cry Pretty", "Cryptic", "Current Mood", "Cuz I Love You", "Dangerous Woman", "Dark Horse", "Dedicated", "Demi", "Different World", "Dolla Van Riddim", "Double Vision", "Dzieciom", "El Hombre", "Elevate", "Elly Gai Ahla", "Ember", "Enjoy Yourself", "Euphoria", "Everyday Is Christmas", "Everyday is Christmas", "Evolution", "Expectations", "Experiment", "Fagun Ke Rang", "Fly", "Forbidden", "Forever", "Foundation", "Free Spirit", "Free Wired", "Frozen", "Genesis", "Get Weird", "Globalization", "Glory Days", "Golden Hour", "Good Company", "Got Your Six", "Got your Six", "Gotta Be Me", "Gravity", "Halcyon", "Halcyon Days", "Handwritten", "Happiness", "Happiness Begins", "Happy Endings", "Hat Nhan", "Heart Miles", "Heroes", "High Expectations", "Higher", "Historical Misappropriation", "Holo", "Home State", "Honky Tonk Time Machine", "Icarus Falls", "If I know me", "Illuminate", "Infestissumam", "Isolation", "It Feel Good", "Joanne", "Journals", "Joytime", "K", "Kaleidoscope Dream", "Kamayanbaghi", "King Of The Dancehall", "King of Everything", "King of The Dancehall", "King of the Dancehall", "Kontraband", "Kuntry", "Last Year Was Complicated", "Late Nights and Longnecks", "Limitless", "Loser", "Loud", "Love Crimes", "Love Town", "Lover", "Madame X", "Madness", "Magic", "Maza Mar Liya Dhori Ke Niche", "Meliora", "Melting", "Men Halati", "Mercury Lane", "Mint", "Muse Box", "My Everything", "My World Untouched", "Narrated For You", "Narrated For you", "Nayutan Sei Kara No Buttai Y", "Night Train", "Night Visions", "Nine Track Mind", "No More Hollywood Endings", "Oak Island", "Odisea", "One More Light", "Ores Aixmis", "Outlast", "Outsider", "Overthinking", "Oxford", "Party Never Ends", "Party Rock Mansion", "Peace Of Mind", "Philharmonics", "Pitch Perfect", "Pobrecita", "Pop Food", "Prequelle", "Pulses", "Pure Heroine", "Purgatory", "Purple Reign", "Purpose", "Raees", "Rainbow", "Raise Vibration", "Rearview Town", "Reincarnation", "Rise Remixes", "Ruin Your Party", "Run", "Safe Haven", "Salam", "Sex Rock", "Sexability", "Shatter Me", "Shoft El Ayam", "Sick Boy", "Sing To Me Instead", "Sing to Me Instead", "Singular Act I", "Sinner", "Slow Air", "So Good", "Southeastern", "Speak Now", "Spectrum", "Starboy", "Stars Dance", "Starting Over", "Stories", "Stronger", "Sucker Punch", "Summer Anthems", "Sunset Season", "Superman", "Tell Me You Love Me", "Telling All My Secrets", "Thank You", "Thank You Happy Birthday", "The African gentleman", "The Beginning", "The Bright Side", "The First Time", "The Gaza Don", "The Getaway", "The Great War", "The King of Limbs", "The Last Stand", "The Martin Garrix Experience", "The Mountain", "The NEw Classic", "The New Classic", "The Nothing", "The Pains of Growing", "The Present tense", "The Shocking Miss Emerald", "The Unforgiving", "The pains of Growing", "This Is Acting", "This is Acting", "Title", "To Whom It May Concern", "To Whom It may concern", "Transmissions", "True Believers", "Ultraviolence", "Unapologetic", "Unapologetically", "Undefined", "V", "Vessel", "Visions", "Voicenotes", "Wake Up Dreaming", "Wake up Dreaming", "Warrior", "We Are Not Your Kind", "Welcome To The Fishbowl", "When Was The Last Time", "When Was The Last time", "When was the Last Time", "Where We Come From", "Who You Are", "Witness", "Wonders", "You Get What You Give", "You Know I know", "You know I know", "Your Name", "Yours", "Yours Truly", "all the little lights", "always in Between", "always in between", "beauty marks", "bigger", "camila", "climate change", "count me in", "expectations", "icarus falls", "late nights and longnecks", "loud", "love songs from a lolita", "mercury lane", "my Everything", "narrated for you", "night visions", "nine Track Mind", "no line signal likhat ba", "no more hollywood endings", "sick boy", "sing to me instead", "sucker punch", "the Martin Garrix Experience", "the bright side", "the martin garrix experience", "the princess", "to whom it may concern", "voicenotes", "your name", "?" ] }, "artist": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Artist who performed the song", "possible_values": [ "none", "do not care", "Aaron Lewis", "Agnes Obel", "Alan Menken", "Alan Walker", "Albert Posis", "Alec Benjamin", "Alessia Cara", "Alex Angel", "Alkaline", "All That Remains", "Amr Diab", "Anna Kendrick", "Arash", "Ariana Grande", "Avicii", "Awadesh Premi Yadav", "Ayo Jay", "Battle Beast", "Bebe Rexha", "Behemoth", "Ben Platt", "Big Time Rush", "Billy Currington", "Billy Watman", "Black Veil Brides", "Blacklite DIstrict", "Blacklite District", "Blake Shelton", "Bradley Cooper", "Brunettes Shoot Blondes", "Brunettes shoot blondes", "Busy Signal", "Cairo Knife Fight", "Camila Cabello", "Carly Pearce", "Carly Rae Jepsen", "Caro Emerald", "Carrie Underwood", "Charlie Puth", "Christina Aguilera", "Ciara", "Cindy Santos", "Cody Jinks", "Cody Johnson", "Common Kings", "Conan Gray", "Concorde", "Courier", "Daft Punk", "Darius Rucker", "Dia Frampton", "Diamond Platnumz", "Dierks Bentley", "Disturbed", "Dustin Lynch", "El Alfa", "Ellie Goulding", "Enrique Iglesias", "Enrique iglesias", "Eric Church", "Eurielle", "Five Finger Death Punch", "Five finger death punch", "Fivefold", "Foster The People", "Frank Ocean", "George Strait", "Get Scared", "Ghost", "Godsmack", "Greta Van Fleet", "Grimes", "Gyptian", "Halsey", "Harris J", "Hayley Kiyoko", "Hiroyuki Sawano", "Hurts", "I Prevail", "Iakopo", "Iggy Azalea", "Imagine Dragons", "In This Moment", "Inna", "Insideeus", "Instant Regrets", "Jack Stauber", "Jah Cure", "Jai Waetford", "Jake Owen", "Jake Zyrus", "James Blake", "James Blunt", "Janob Rasul", "Jason Aldean", "Jason Chen", "Jawga Boyz", "Jennifer Lopez", "Jess Glynne", "Jessie J", "Jimmie Allen", "Jinjer", "Joe Bonamassa", "Jon Bellion", "Jon Pardi", "Jonas Brothers", "Jordan Davis", "Jordan Smith", "Josh Gad", "Justin Bieber", "Justin Moore", "Kabaka Pyramid", "Kacey Musgraves", "Kane Brown", "Karmin", "Karolina Protsenko", "Katy Perry", "Kaung Kaung", "Kelsea Ballerini", "Kesha", "Kevin Macleod", "Khalid", "Kirk Degiorgio", "Kolohe Kai", "Konshens", "Kozoria", "Krewella", "Kristin Chenoweth", "Kygo", "La La Land Cast", "La Min Phyu", "Lady Gaga", "Lana Del Rey", "Lanco", "Lao Che", "Lenny Kravitz", "Limbo", "Lindsey Stirling", "Linkin Park", "Little Big Town", "Little Mix", "Lizzo", "Lorde", "Ludovico einaudi", "Luke Bryan", "Madcon", "Madilyn Bailey", "Madonna", "Major Lazer", "Mark Morton", "Marshmello", "Martin Garrix", "Matt Simons", "Maty Noyes", "Meghan Trainor", "Michael Ray", "Miguel", "Mindy Gledhill", "Mitchell Tenpenny", "Mo Temsamani", "Mohammed Al Salem", "Morgan Wallen", "Nero", "Niall Horan", "Nick Murphy", "Nico Cartosio", "Niykee Heaton", "Old Dominion", "Olly Murs", "Ornette", "Our Last Night", "Ozuna", "Paramore", "Passenger", "Pavni Pandey", "Petit Biscuit", "Pharrell Williams", "Pitbull", "Pop Evil", "Popcaan", "Prince Royce", "Protoje", "Rachel Platten", "Radwimps", "Rebelution", "Red Hot Chili Peppers", "Redfoo", "Ricky T and The Rockets", "Rihanna", "Ruth B", "Ryutaro Nakahara", "Sabaton", "Sabrina Carpenter", "Sammielz", "Sara Evans", "Scotty Sire", "Sean Paul", "Sean paul", "Selena Gomez", "Shahzoda", "Shailesh Premi", "Shallow Side", "Shane Filan", "Shashi Lal Yadav", "Shatta Wale", "Shawn Mendes", "Shenseea", "Sherine", "Shy Martin", "Sia", "Sigrid", "Simply Three", "Sivik", "Skillet", "Spice", "Starset", "Still Corners", "Sugarland", "Taylor Swift", "Teodora", "The Chainsmokers", "The Dead South", "The Motans", "The Piano Guys", "The Wanted", "Thomas Rhett", "Thousand Foot Krutch", "Three Days Grace", "Todrick Hall", "Tove Lo", "Tupper Ware Remix Party", "Twenty One Pilots", "Tyler Shaw", "Tyler childers", "Upchurch", "Vybz Kartel", "Westlife", "Within Temptation", "Witwisit Hiranyawongkul", "Zac Brown Band", "Zayn Malik", "Zayn malik", "ariana grande", "brett eldredge", "brunettes shoot blondes", "charlie puth", "christina aguilera", "courier", "darius rucker", "five finger death punch", "frank ocean", "halsey", "hayley kiyoko", "hoba hoba spirit", "imagine dragons", "isak danielson", "jess glynne", "justin bieber", "karolina protsenko", "lady gaga", "martin garrix", "maty noyes", "morgan wallen", "phan Dinh Tung", "pitbull", "radwimps", "rebelution", "rihanna", "sammielz", "shahzoda", "shashi lal yadav", "sigrid", "starset", "sugarland", "taylor swift", "the Chainsmokers", "the Dead South", "the dead south", "twenty one pilots", "westlife", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "device": { "dataset_names": [ "sgd" ], "description": "Place or name of the media player to play the song selected", "possible_values": [ "none", "do not care", "Kitchen", "Living room", "Patio" ] }, "genre": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Genre of the song", "possible_values": [ "none", "do not care", "Alternative Country", "Asia", "Blues", "Classical", "Country", "Dancehall", "Dubstep", "Electronica", "Electropop", "Folk", "Funk", "Hillbilly", "Holiday", "House", "Indie", "Latin", "Metal", "Metalcore", "Middle Eastern", "POP", "POp", "Pop", "Popular", "Reggae", "Reggaeton", "Rock", "Rock and roll", "Soundtracks", "South Asia", "blues", "classical", "country", "electronic musical", "electropop", "folk", "hillbilly", "house", "jazz", "latin", "metal", "metalcore", "pop", "popular", "punk", "reggae", "rock", "rock and roll", "soundtracks", "?" ] }, "playback_device": { "dataset_names": [ "sgd", "sgd" ], "description": "Playback device on which the song is to be played", "possible_values": [ "none", "do not care", "Bedroom speaker", "Kitchen speaker", "TV", "bedroom speaker", "kitchen speaker" ] }, "song_name": { "dataset_names": [ "sgd", "sgd" ], "description": "Name of the song", "possible_values": [ "none", "do not care", "A Little Bit Stronger", "Addicted", "Adorn", "Adrenalize", "African Beauty", "Aftertaste", "Airplane Mode", "Alibi", "Alive", "All About That Bass", "All About that Bass", "All I Am", "All I am", "All Night", "All On Me", "All That Matters", "All The Girls Wanna Ride", "All about that Bass", "All about that bass", "All on Me", "All on me", "All the Girls Wanna Ride", "Alone", "Alone With You", "Alone with you", "Always Remember Us This Way", "Ana Mosh Anani", "Annie", "Another Day Of Sun", "Another Day of Sun", "Another day of Sun", "Are You Ready", "Are you Ready", "Attention", "Babe", "Baby Sexy", "Back It Up", "Back it up", "Bad Habit", "Bad Reputation", "Banjo Odyssey", "Barefoot In The Park", "Barefoot In the Park", "Barefoot in The Park", "Barefoot in the Park", "Barefoot in the park", "Battle Symphony", "Be Alright", "Be Legendary", "Be My Baby", "Be Somebody", "Be legendary", "Beating Heart", "Beautiful In White", "Beautiful in White", "Before I Cry", "Before I Leave", "Before I cry", "Before I leave", "Best Friend", "Best Mistake", "Best Shot", "Best mistake", "Better", "Better Man", "Big Bad Wolf", "Bird Set Free", "Black Eyes", "Black Lagoon", "Black Widow", "Blocks", "Bloody Mary", "Blue Skies", "Blue Tacoma", "Bohemian Rhapsody", "Born For Greatness", "Born Free", "Born for Greatness", "Bottoms Up", "Bounce", "Boy In The Bubble", "Boy In The bubble", "Boy in The Bubble", "Boy in the bubble", "Boyfriend", "Break Free", "Broken", "Broken Arrows", "Bruk Off Yuh Back", "Burn", "Burning Man", "Business Dinners", "Buttercup", "Butterflies", "Buzzcut Season", "Buzzcut season", "California King Bed", "Call Me Maybe", "Carnivore", "Carry Me", "Cast No Stones", "Cast no stones", "Cham Cham", "Change Your Life", "Change your life", "Cheap Smell", "Chicco", "Cirice", "Cocaine March", "Codigo", "Colder Weather", "Colors", "Colouring This Life", "Consequences", "Control", "Cool Girl", "Count On Me", "Count on Me", "Courtesy Call", "Cover Me Up", "Crazy", "Cross Off", "Crush", "Crystallize", "Cups", "Curious", "Dance Again", "Dance Macabre", "Dangerously", "Dark Necessities", "Darkside", "Dean Town", "Dem Beats", "Despacito", "Diesel Gang", "Din Don Dan", "Dirt Road Anthem", "Dolla Van", "Dream Lantern", "Drive", "Drunk Me", "Drunk me", "Dusk Till Dawn", "Dusk till Dawn", "Ease My Mind", "Easy World", "Eden", "El Farsante", "Elli Gai Ahla", "Epiphany", "Every Little Honky Tonk Bar", "Every Little Thing", "Everybody Hates Me", "Fake You OUt", "Fake You Out", "Fake you out", "Fight Song", "Final Masquerade", "Find Me", "Fireball", "Firestone", "First True Love", "Focus", "Fortunately I Met You", "Fortunately I met you", "Free Fall", "Gasoline", "Generation Why", "Get Lucky", "Ghost", "Girl Crush", "Girl LIke You", "Girl Like You", "Girl Like you", "Girls Like You", "Give You What You Like", "Glad You Came", "Glow", "Go Robot", "Go robot", "Gold", "Good Goodbye", "Good Years", "Goodbye Angels", "Gotta Be A Reason", "Greatest Love Story", "Grow As We Go", "HIgh on Life", "Hard Times", "Hate Me", "Hate me", "He Is", "He is", "Head Over Boots", "Head over Boots", "Heartbeat", "Hello My Love", "Help", "Hey Hey Hey", "High", "High On Life", "High on Life", "Highway Tune", "Hold You", "Homesick", "Hope", "Hotel Key", "Houdini", "How Deep Is Your Love", "How Deep Is your Love", "How Long", "How Long Will I Love You", "How Long Will I love You", "Hurricane", "Hyang Giri", "I Apologize", "I Do Adore", "I Got You", "I Like It", "I Lived It", "I Want You", "I Would Like", "I apologize", "I do adore", "I like it", "I would like", "If I Killed Someone For You", "If I Told You", "If I Told you", "If I killed Someone For You", "If I killed Someone For you", "If I told you", "If We Have Each Other", "If You Met Me First", "Ik Vaari AA", "Ik Vaari Aa", "In Summer", "In Your Eyes", "Instant Regret", "It Has Begun", "Ivy", "Jesus And Jack Daniels", "Jesus and Jack Daniels", "John Wayne", "Just Kiss Her", "Kara Kul", "Keep It Mello", "Khuc Hat Mung Sinh Nhat", "Kindly Calm Me Down", "Kingdom Dance", "Knee Deep", "Knees", "Knock Knock", "Knock knock", "Kontrol", "Lady Luck", "Lahnga Lasar Ke", "Laila Main Laila", "Latency", "Let Her Go", "Let Him Go", "Let IT Be", "Let It Be", "Let It Go", "Let Me", "Let Me Down Easy", "Let Me Down Slowly", "Let Me Love You", "Let Me Love you", "Let Me down Easy", "Let Us BE", "Let Us Be", "Let him go", "Let it Be", "Let it Burn", "Let it be", "Let us Be", "Light It Up", "Light It up", "Look What God Gave Her", "Look What I Found", "Look What I found", "Look what God gave her", "Lookalike", "Lose It", "Lost And Lonely", "Lost Girls", "Lost Stars", "Lost Within", "Lost and Lonely", "Lotus Flower", "Love Like This", "Love Lost", "Love Me Like You", "Love Will Remember", "Love Yourself", "Low", "Lush Life", "Mahzouz", "Mamma Knows Best", "Mamma Knows best", "Man Down", "Mana Zina", "Maths Tough", "Maybe This Time", "Mchat", "Me Too", "Memory Pain", "Memory pain", "Mercy", "Mi Gna", "Mile High", "Miss Me More", "Miss Me more", "Moon", "Move Your Body", "Move your body", "Moves", "Music Never Sleeps", "Must Be The Whiskey", "My Donna", "My donna", "Nandemonaiya", "Naya Naya Penhi Salwarba", "Neon Gravestones", "Neon Lights", "Nerves", "Never Be Alone", "Never Letting Go", "New Friends", "New Thang", "Night", "Night Shift", "Night Witches", "Nights", "No Bullets Fly", "No Diggity", "No More", "No More Sad Songs", "No One", "No Other Love", "No Promises", "No Sleep", "No more Sad Songs", "No more sad songs", "Nobody Can Save Me", "Nota De Plata", "Now That I Found You", "Now That I found You", "Now that I Found You", "Now that I Found you", "Now that I found you", "O Father O Satan O Sun", "O Father O Satan O sun", "Oblivion", "Oh Klahoma", "Ojuelegba", "Older", "On The Loose", "On the Loose", "One Call Away", "One Day", "One Last Time", "One More Light", "One That Got Away", "One call away", "One that got away", "Only Love", "Only You", "Open Up", "Options", "Ouf Menuh Qalbi", "Out Of Love", "Out of Love", "Paris", "Perfect Time", "Peter Pan", "Pisces", "Pond Creek Road", "Pour It Up", "Pour It up", "Pour it Up", "Pour it up", "Power", "Pretty Girl Team", "Pretty When You Cry", "Promises", "Pumped up kicks", "Pyaw Nay Par", "Pyramid", "Qalb Qalb Party", "Qaynona", "Radioactive", "Raging", "Rain", "Rats", "Real FRiends", "Real Friends", "Redemption", "Redneck Crazy", "Reggae Music", "Rich", "Ridin High", "Right Left Wrong", "Riverside", "Roller Coaster", "Roots Reggae Music", "Roundtable Rival", "Royal Beggars", "SOrry", "Salam Alaikum", "Same Old War", "San Francisco", "Sangria", "Sarcasm", "Satisfaction", "Self Control", "Serendipity", "Sex Metal Barbie", "Shake Me Down", "Shatta Movement", "Shiroyama", "Show Me How You Burlesque", "Shy", "Sick Boy", "Sick Like Me", "Side Effects", "Side effects", "Silence", "Singles You UP", "Singles You Up", "Sleepover", "Slow Burn", "Slumber Party", "Small Town Boy", "So High", "So Mi like it", "Some Of It", "Somebody", "Something Big", "Sorry", "Sparkle", "Speak Life", "Stage Show", "Stay", "Still Got Time", "Stitches", "Stone Cold", "Strangers", "Stupid Deep", "Suave", "Sucker", "Summer", "Summer Time", "Summer time", "Sun", "Suna Bhaiya Ke Sali", "Sunset Lover", "Sunset lover", "Supercut", "Superficial Love", "Take It Back", "Take It From Me", "Take Me Away", "Take it Back", "Tangled Up", "Team", "Tempo", "Temporary Love", "Tennessee Whiskey", "Tennis Court", "Tennis court", "The Arena", "The Awakening", "The Devil You Know", "The Greatest", "The Heart Wants What It Wants", "The Lost Battalion", "The Message", "The Mountain", "The Night We Met", "The Resistance", "The Story Of Us", "The Story of Us", "The Struggle", "The Tattva Trip", "The Thunder Rolls", "The Water Fountain", "The Way I Am", "The Way I Talk", "The Way I am", "The Way I talk", "The Weight Of The Badge", "The Weight of the badge", "The Zombie Song", "Them Days", "There Was This Girl", "There was this Girl", "Thinkin Bout You", "Time Up", "Time up", "Titanium", "Tom Ford", "Tomboy", "Touch It", "Tough Lover", "Tourniquet", "Tous Eipes Pos", "Treat You Better", "Truce", "Trust My Lonely", "Try To Fight It", "Turn Me On", "Under You", "Up Down", "Wagon Wheel", "Wake Up", "Walk Away", "Wash It All Away", "Weekend", "What I Need", "What If I Was Nothing", "What Makes You Country", "What Now", "When She Says Baby", "Whiskey Glasses", "White House Road", "Who Knows", "Whore", "Why So Serious", "Wicked", "Windows Down", "Wine For Me", "Wine for Me", "Winged Hussars", "With You", "With You I Am", "With You I am", "Without Me", "Wojenka", "Wonderful Life", "Worst Ends", "Worst ends", "Written In Sand", "Written in Sand", "Ya Layali", "Yeah Boy", "Year Zero", "Yomonsan", "Yottabyte", "Younger", "Yours", "Zenzenzense", "adorn", "adrenalize", "african beauty", "all i am", "all night", "all the girls wanna ride", "almost love", "another day of sun", "babe", "bad reputation", "banjo odyssey", "before I cry", "best shot", "better man", "bloody mary", "blue skies", "bounce", "boy in the bubble", "boyfriend", "break free", "broken", "business dinners", "buttercup", "butterflies", "buzzcut season", "california king bed", "change your life", "chicco", "colors", "curious", "dem beats", "despacito", "diesel gang", "dream lantern", "dusk till dawn", "ease my mind", "eden", "every little honky tonk bar", "fake you out", "fresh eyes", "ghost", "hard times", "high", "high on life", "hope", "it has begun", "jesus and jack daniels", "knock knock", "latency", "let it be", "lose you too", "love someone", "mchat", "naya naya penhi salwarba", "neon gravestones", "nerves", "new friends", "night", "night shift", "nights", "one last time", "only you", "options", "outrunning karma", "paris", "pour it up", "qaynona", "rats", "rock n roll", "roots reggae music", "salam alaikum", "satisfaction", "self control", "shy", "sick like me", "small town boy", "somebody", "sorry", "superficial love", "swish swish", "team", "tempo", "the story of us", "the way I am", "the way i am", "thinkin bout you", "thursday", "time up", "tough lover", "try to fight it", "unstoppable", "up down", "weekend", "what if I was nothing", "where have you been", "white house road", "whore", "winged hussars", "worst ends", "yottabyte" ] }, "track": { "dataset_names": [ "sgd" ], "description": "Name of the song", "possible_values": [ "none", "do not care", "A Ghost In The Trenches", "A Ghost In the Trenches", "A Ghost in The Trenches", "A Little Bit Stronger", "Acapella", "Addicted", "Adrenalize", "African Beauty", "After The Storm", "After the Storm", "Airplane Mode", "Airplane mode", "Alive", "All About That Bass", "All I want", "All That Matters", "Always Hate Me", "Arty Hearty", "Baby I", "Back It UP", "Back It Up", "Bad Behaviour", "Banjo Odyssey", "Barefoot In The Park", "Battle Symphony", "Batuka", "Be Alright", "Be Somebody", "Beautiful In White", "Beautiful Now", "Best Mistake", "Birth Of The Cruel", "Birth of The Cruel", "Black Lagoon", "Black Widow", "Black widow", "Blue Tacoma", "Bounce", "Boy In The Bubble", "Boy in The Bubble", "Boyfriend", "Bread Winner", "Bruk Off Yuh Back", "Bruk off Yuh Back", "Burn", "Burning Man", "California King Bed", "Carry Me", "Celebrate", "Centipede", "Cold", "Colder Weather", "Colors", "Colouring This Life", "Come Get It Bae", "Come Over", "Consequences", "Cool", "Cool Girl", "Cool It", "Crystal Dolphin", "Curious", "Dance Macabre", "Dangerously", "Dark Necessities", "Devil Dogs", "Die Young", "Diggy Diggy Hole", "Dream Lantern", "Drunk Me", "Dusk Till Dawn", "Easy World", "Ecstasy", "Everybody Hates Me", "Everything Nice", "Faster", "Final Masquerade", "Find U Again", "First True Love", "For The Night", "For the night", "Fortunately I Met You", "Fuckability", "Girl Crush", "Girl Like You", "God Control", "Gold", "Good Together", "Great War", "Greenlight", "Grow As We Go", "Hate Me", "Head Over Boots", "Heartbeat", "Her World Or Mine", "Hey Hey Hey", "High", "Highway Tune", "Honeymoon Avenue", "Houdini", "I Apologize", "I Feel It Coming", "I Like It", "I Like it", "I apologize", "I like It", "I like it", "If I Told You", "Ik Vaari Aa", "In Summer", "Ivy", "Just Kiss Her", "Khuc Hat Mung Sinh Nhat", "La Da Dee", "Lahnga Lasar Ke", "Laila Main Laila", "Legendary", "Let Her Go", "Long Live", "Lose My Mind", "Lost And Lonely", "Lost WIthin", "Lost Within", "Lost and Lonely", "Love Me Like You", "Malibu", "Mamma Knows Best", "Man Down", "Mascara", "Masterpiece", "Mchat", "Million Reasons", "Mine", "My Heart Goes Boom", "Nandemonaiya", "Neon Lights", "New THang", "New Thang", "Night Shift", "Nixta Ginontai Ta Thavmata", "No Promises", "No Sleep", "Ocean", "One Last Time", "Only You", "Options", "Paradise", "Perfect Illusion", "Peter Pan", "Pisces", "Planet Loop", "Plume", "Pond Creek Road", "Pour It Up", "Praying", "Pyramid", "Raging", "Rain", "Real Friends", "Rezlord", "Rise", "Rockabye", "Rocketeer", "Roller Coaster", "Running After You", "Salam Alaikum", "Sarcasm", "Scars", "Shy", "Sick Like Me", "Sick Love", "Small Town Boy", "Snowman", "So Long", "Solway Firth", "Southbound", "Springsteen", "Starlight Brigade", "Stay", "Still Got Time", "Strangers", "Sucker", "Summer Time", "Summer time", "Sunset Lover", "Sunset lover", "Take Back Home Girl", "Tattooed Heart", "The Archer", "The Champion", "The Mountain", "The Muzik", "The Night We Met", "The Red Baron", "The Trip", "The Way", "The Way I Am", "The Way I am", "The Zombie Song", "The mountain", "Thursday", "Time UP", "Time Up", "Tom Ford", "Top Shotta", "Touch", "Tough Lover", "Treat You Better", "Tu Larka Hai Bihari", "Tyrant", "Under Your Scars", "Under your scars", "Wagon Wheel", "What If I Was Nothing", "What If I was Nothing", "What If I was nothing", "What Now", "Where Have You Been", "Who KNows", "Who Knows", "With You", "With You I Am", "Wolf Totem", "Work", "You Need To Calm Down", "You Need to Calm Down", "You Need to calm down", "baby i", "back it up", "break free", "ecstasy", "houdini", "how deep is your love", "mine", "no sleep", "praying", "radioactive", "scuse me", "sick like me", "the Champion", "the Mountain" ] }, "year": { "dataset_names": [ "sgd", "sgd" ], "description": "Year in which the song was released", "possible_values": [ "none", "do not care", "2010", "2011", "2012", "2013", "2014", "2015", "2016", "2017", "2018", "2019", "?" ] } }, "payment": { "amount": { "dataset_names": [ "sgd" ], "description": "The amount of money to send or request", "possible_values": [ "none", "do not care", "$10", "$100", "$101", "$103", "$104", "$105", "$106", "$108", "$109", "$11", "$110", "$111", "$112", "$114", "$115", "$116", "$117", "$118", "$119", "$12", "$120", "$121", "$122", "$123", "$124", "$125", "$126", "$127", "$128", "$129", "$13", "$130", "$131", "$132", "$134", "$135", "$137", "$138", "$139", "$14", "$141", "$142", "$144", "$145", "$147", "$148", "$149", "$15", "$150", "$151", "$152", "$153", "$154", "$155", "$157", "$158", "$159", "$16", "$161", 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bucks", "132 bucks", "132 dollars", "134 bucks", "135 dollars", "138 dollars", "139 dollars", "14 bucks", "14 dollars", "142 dollars", "144 bucks", "148 dollars", "149 bucks", "15 dollars", "150 bucks", "151 bucks", "152 dollars", "153 bucks", "155 bucks", "158 dollars", "16 dollars", "161 bucks", "162 bucks", "164 bucks", "166 bucks", "168 bucks", "169 bucks", "169 dollars", "17 bucks", "171 dollars", "173 bucks", "176 bucks", "179 dollars", "18 bucks", "180 dollars", "20 bucks", "21 bucks", "23 bucks", "25 bucks", "27 dollars", "29 bucks", "30 bucks", "31 bucks", "31 dollars", "32 bucks", "33 bucks", "33 dollars", "34 bucks", "35 bucks", "35 dollars", "38 bucks", "4 dollars", "40 dollars", "42 dollars", "43 bucks", "43 dollars", "44 dollars", "45 dollars", "49 bucks", "50 bucks", "50 dollars", "51 bucks", "52 dollars", "53 dollars", "55 bucks", "56 dollars", "6 dollars", "60 bucks", "61 bucks", "63 dollars", "65 bucks", "68 bucks", "68 dollars", "7 bucks", "7 dollars", "73 dollars", 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hundred and forty one bucks", "one hundred and four dollars", "one hundred and nine bucks", "one hundred and nineteen bucks", "one hundred and seventy five dollars", "one hundred and seventy one bucks", "one hundred and sixteen bucks", "one hundred and sixty nine bucks", "one hundred and sixty seven dollars", "one hundred and thirty four dollars", "one hundred and thirty one bucks", "one hundred and thirty two dollars", "one hundred and twelve bucks", "one hundred and twenty four dollars", "one hundred and twenty one dollars", "one hundred and twenty six dollars", "one hundred and twenty three bucks", "seventy five dollars", "seventy one bucks", "seventy two bucks", "six bucks", "sixty five dollars", "sixty four dollars", "sixty two dollars", "thirty dollars", "thirty five dollars", "thirty four bucks", "thirty six bucks", "thirty six dollars", "thirty two bucks", "twenty five dollars", "twenty four dollars", "two dollars", "two hundred and fifteen bucks" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "payment_method": { "dataset_names": [ "sgd" ], "description": "The source of money used for making the payment", "possible_values": [ "none", "do not care", "app balance", "credit card", "debit card" ] }, "private_visibility": { "dataset_names": [ "sgd" ], "description": "Whether the transaction is private or not", "possible_values": [ "none", "do not care", "False", "True" ] }, "receiver": { "dataset_names": [ "sgd" ], "description": "Name of the contact or account to make the transaction with", "possible_values": [ "none", "do not care", "Amelia", "Bob", "DIego", "Diego", "Emma", "Isabella", "Jerry", "Mahmoud", "Margaret", "Mary", "Peter", "Rachel", "Svetlana", "Tom", "Victoria", "Wilson", "Yumi", "bob", "diego", "isabella", "margaret", "peter", "tom", "victoria", "wilson" ] } }, "rentalcars": { "add_insurance": { "dataset_names": [ "sgd" ], "description": "Whether to purchase insurance", "possible_values": [ "none", "do not care", "False", "True" ] }, "car_name": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Model name of rental car", "possible_values": [ "?" ] }, "car_type": { "dataset_names": [ "sgd", "sgd" ], "description": "Type of car for rental", "possible_values": [ "none", "do not care", "Compact", "Full-size", "Hatchback", "SUV", "Sedan", "Standard" ] }, "city": { "dataset_names": [ "sgd" ], "description": "City where you want to rent the car", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Atlanta", "Atlanta, GA", "Berlin", "CDMX", "Cape Town", "Chi town", "Chicago", "Concord", "Delhi", "Delhi, India", "Fresno", "Fresno, CA", "KL", "Kuala Lumpur", "LA", "LAX", "LOng Beach", "Las Vegas", "London", "London, England", "London, UK", "Long Beach", "Long Beach, CA", "Los Angeles", "Mexico City", "NY", "NYC", "Nairobi", "New Delhi", "New York", "New York City", "Palo Alto", "Paris", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland, OR", "Rio", "Rio de Janeiro", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "San Jose", "Seattle", "Seattle, WA", "Sunnyvale", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vegas", "Walnut Creek", "Warsaw", "Washington", "anaheim", "berlin", "chi town", "chicago", "london, england", "long beach", "los angeles", "philadelphia", "portland", "seattle", "sydney", "toronto, canada", "toronto, ontario", "washington" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "dropoff_date": { "dataset_names": [ "sgd", "sgd" ], "description": "Date of rental car drop-off", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of MArch", "14th of March", "14th of march", "14th of this Month", "14th of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of this month", "7th of MArch", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next Week", "Friday next week", "MArch 10th", "MArch 11th", "MArch 14th", "MArch 4th", "MArch 8th", "MArch 9th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Monday", "Next Thursday", "Next Wednesday", "Saturday this week", "Sunday this week", "The 12th", "The 9th", "Thursday next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "next Friday", "next MOnday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "thursday next week", "tomorrow", "wednesday next week" ] }, "end_date": { "dataset_names": [ "sgd" ], "description": "The date to return the car", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of this month", "14th of March", "14th of march", "14th of this month", "2nd of March", "3rd of March", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of this month", "6th of March", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of this month", "Friday next week", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Sunday this week", "The 11th", "The 14th", "Thursday next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "march 10th", "march 11th", "march 12th", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next tuesday", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Sunday", "tomorrow" ] }, "pickup_city": { "dataset_names": [ "sgd", "sgd" ], "description": "City to pick up the rental car", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Atlanta", "Atlanta Ga", "Atlanta, GA", "Atlanta, Ga", "CDMX", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Concord", "Delhi", "Delhi, India", "Fremont", "Fresno", "Fresno, CA", "KL", "Kuala Lumpur", "LA", "LAX", "Las Vegas", "Las vegas", "London", "London, England", "London, UK", "London, Uk", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long Beach, Ca", "Long beach", "Los Angeles", "Mexico City", "Mexico city", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "New york", "Ny", "Paris", "Paris France", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Phoenix, Az", "Portland", "Portland, OR", "Portland, Or", "SD", "SF", "SFO", "Sacramento", "Sacramento CA", "Sacramento, CA", "Sacramento, Ca", "San Diego", "San Fran", "San Francisco", "San Jose", "San jose", "Seattle", "Seattle, WA", "Sunnyvale", "Sydney", "Sydney, Australia", "Sydney, NSW", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Toronto, canada", "Vancouver", "Vancouver, BC", "Vegas", "Walnut Creek", "Walnut creek", "Washington", "anaheim", "anaheim, CA", "atlanta", "chicago", "ciudad de mexico", "concord", "fremont", "la", "las vegas", "lax", "london, england", "long beach", "los angeles", "new york", "new york city", "philadelphia", "phoenix", "portland, or", "sacramento, ca", "san diego", "san fran", "san francisco", "san jose", "seattle", "sf", "sfo", "sydney", "toronto", "vancouver bc", "vancouver, bc", "vegas", "walnut creek", "washington" ] }, "pickup_date": { "dataset_names": [ "sgd", "sgd" ], "description": "Date of rental car pickup", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this Month", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "Friday, next week", "Later today", "MArch 1st", "MArch 2nd", "MArch 4th", "MArch 6th", "MArch 9th", "March 10th", "March 11th", "March 12th", "March 13th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday Next week", "Monday next week", "Next Friday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Next friday", "Next tuesday", "Saturday this week", "Sunday this week", "This Saturday", "This saturday", "Thursday next week", "Today", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 12th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next tuesday", "next wednesday", "saturday this week", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this SAturday", "this Saturday", "this Sunday", "this saturday", "this sunday", "thursday next week", "today", "tomorrow", "wednesday next week" ] }, "pickup_location": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Location of rental car pickup", "possible_values": [ "none", "do not care", "30th Street Station", "30th Street station", "30th street station", "Anaheim Intermodal Center", "BART Station", "BART station", "Bart Station", "Bart station", "Benito Juarez Airport", "Benito Juarez International Airport", "Benito Juarez International airport", "Canterbury Village", "Cape Town International Airport", "Central District", "Charles De Gaulle International Airport", "Charles De Gaulle international airport", "Charles de Gaulle Airport", "Charles de Gaulle International Airport", "Charles de Gaulle International airport", "Charles de Gaulle international Airport", "Charles de gaulle international airport", "Chicago Airport", "Chicago Union Station", "Chicago Union station", "Clayton Valley", "Delhi Airport", "Delhi airport", "Diridon Station", "Diridon station", "Downtown", "Downtown Station", "Downtown station", "Dulles International Airport", "Dulles international Airport", "Dulles international airport", "Estacion Buenavista", "Fremont BART Station", "Fremont BART station", "Fremont Bart Station", "Fremont Bart station", "Fresno Station", "Fresno Yosemite International Airport", "Galeao International Airport", "Gatwick International Airport", "Gatwick International airport", "Grand Central Station", "Grand central station", "Hartsfield", "Hartsfield Jackson", "Hartsfield Jackson Airport", "Hartsfield Jackson International Airport", "Hartsfield Jackson International airport", "Hartsfield jackson International Airport", "Hartsfield jackson international airport", "Heathrow Airport", "Heathrow International Airport", "Heathrow International airport", "Heathrow international Airport", "INtercity Terminal", "Indira Gandhi Airport", "Indira Gandhi International Airport", "Indira Gandhi International airport", "Intercity Terminal", "Intercity terminal", "JFK Airport", "JFK International Airport", "JFK International airport", "JFK international airport", "JOmo Kenyatta International Airport", "John F. Kennedy Airport", "John F. Kennedy International Airport", "John Wayne Airport", "John Wayne airport", "John wayne Airport", "John wayne airport", "Jomo Kenyatta Airport", "Jomo Kenyatta International Airport", "KILA Airport", "KLIA International Airport", "King Street STation", "King Street Station", "King Street station", "King street Station", "King street station", "Kingsford Smith Airport", "Kingsford Smith International Airport", "Kingsford Smith International airport", "Kingsford smith international airport", "Klia International Airport", "Kuala Lumpur International Airport", "LAX Airport", "LAX International Airport", "LAX international airport", "LGB Airport", "LGB airport", "Lawrence Station", "McCarran International Airport", "McCarran International airport", "Murphy and Evelyn", "Nairobi International Airport", "Norman Y. Mineta Airport", "O'Hare Airport", "O'Hare International Airport", "O'hare International Airport", "O'hare international airport", "Orly International Airport", "PAcific Central Station", "PDX Airport", "PDX International Airport", "PDX airport", "PDX international Airport", "PDX international airport", "PDx International Airport", "PHL International Airport", "PHL airport", "Pacific Central Station", "Pacific Central station", "Pacific central Station", "Palo Alto Caltrain Station", "Peachtree Station", "Peachtree station", "Phoenix Sky Harbor Airport", "Phoenix Union Station", "Phoenix Union station", "Port Authority Station", "Port Authority station", "Portland Bus Station", "Portland Bus station", "Portland bus Station", "Portland bus station", "Roissy Airport", "SAN Airport", "SAN International Airport", "SAN airport", "SFO", "SFO Airport", "SFO INternational Airport", "SFO International AIrport", "SFO International Airport", "SFO International airport", "SFO airport", "SFO international Airport", "SFO international airport", "SJC International Airport", "SJC international Airport", "SJC international airport", "SMF International Airport", "SMF international Airport", "SMF international airport", "Sacramento Valley Station", "Salesforce Transit Center", "Salesforce Transit center", "San International Airport", "Santa Fe Depot", "Santa fe depot", "Schoenefeld Airport", "Seattle Tacoma International Airport", "Seattle tacoma International Airport", "Sky Harbor Airport", "Sky Harbor International Airport", "Sky harbor international airport", "Sunnyvale CalTrain Station", "Sunnyvale CalTrain station", "Sunnyvale Caltrain Station", "Toronto Pearson Airport", "Toronto Pearson International Airport", "Union Plaza", "Union Station", "Union plaza", "Union station", "Vancouver Airport", "Walnut Creek BART Station", "Walnut Creek Bart Station", "Warsaw Chopin Airport", "YVR Airport", "YVR International AIrport", "YVR International Airport", "YVR airport", "YVR international airport", "bart station", "benito juarez international airport", "canterbury village", "central district", "charles de gaulle airport", "charles de gaulle international airport", "clayton valley", "diridon station", "downtown", "downtown station", "fremont BART station", "fremont bart station", "fresno yosemite international airport", "gatwick international airport", "grand central station", "hartsfield Jackson international airport", "hartsfield jackson international airport", "heathrow international airport", "indira gandhi international airport", "intercity Terminal", "intercity terminal", "john wayne airport", "king street station", "kingsford Smith international airport", "kingsford smith international airport", "lax international airport", "lgb airport", "mccarran international airport", "o'hare international airport", "pacific Central station", "pacific central station", "pdx International airport", "phl international airport", "phoenix sky harbor airport", "port authority station", "portland bus station", "roissy airport", "sacramento valley station", "salesforce transit center", "san international airport", "santa fe depot", "schoenefeld airport", "seattle tacoma international airport", "sfo international airport", "sjc international airport", "sky harbor international airport", "smf international airport", "toronto pearson international airport", "union plaza", "union station", "yvr airport", "yvr international airport" ] }, "pickup_time": { "dataset_names": [ "sgd", "sgd", "sgd" ], "description": "Time of rental car pickup", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "price_per_day": { "dataset_names": [ "sgd" ], "description": "The cost for renting the car per day", "possible_values": [ "?" ] }, "start_date": { "dataset_names": [ "sgd" ], "description": "The first date to start using the rental car", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 11th", "MArch 1st", "MArch 3rd", "March 10th", "March 11th", "March 12th", "March 13th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Tuesday", "Saturday this week", "Sunday this week", "Thursday next week", "Tuesday Next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next monday", "next thursday", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "total_price": { "dataset_names": [ "sgd", "sgd" ], "description": "Total price of car rental", "possible_values": [ "?" ] }, "type": { "dataset_names": [ "sgd" ], "description": "Category to which rental car belongs", "possible_values": [ "none", "do not care", "Compact", "Full-size", "Standard" ] } }, "restaurant": { "address": { "dataset_names": [ "sgd" ], "description": "Address of restaurant", "possible_values": [ "?" ] }, "category": { "dataset_names": [ "sgd" ], "description": "The category of food offered by the restaurant", "possible_values": [ "none", "do not care", "American", "Asado", "Asian", "Asian Fusion", "Austrian", "Barbecue", "Beijing", "Bistro", "Brasserie", "Brazilian", "Breakfast", "Burger", "Burgers", "Burmese", "Burrito", "COmfort Food", "Cafe", "California", "Cambodian", "Cantonese", "Caribbean", "Chinese", "Coffee and Light Bites", "Coffee and Light bites", "Coffee and light bites", "Coffeehouse", "Comfort Food", "Curry", "Deli", "Diner", "Dumplings", "Egyptian", "English", "Ethiopian", "European", "Fast Food", "Fast food", "Filipino", "Fish", "French", "Freshwater Fish", "Freshwater fish", "Gastrobar", "Gastropub", "Greek", "Guatemalan", "Halal", "Himalayan", "Indian", "Irish", "Italian", "Izakaya", "Jamaican", "Japanese", "Kaiseki", "Korean", "Korean Barbeque", "Korean Hot pot", "Latin American", "Light meal", "Lobster", "Malaysian", "Mediterranean", "Mexican", "Middle eastern", "Moroccan", "Neapolitan", "Nepalese", "Nicaraguan", "Non Meat", "Noodles", "Oriental", "Pakistani", "Parisian", "Pasta", "Persian", "Peruvian", "Pho", "Pick up", "Pizza", "Pizza and Pasta", "Pizza and pasta", "Punjabi", "Quick Meal", "Quick meal", "RAmen", "Ramen", "Sandwich", "Seafood", "Sichuan", "Soup and Salad", "Southern", "Spanish", "Spicy Indian", "Spicy Noodles", "Steakhouse", "Sushi", "Sushi Bar", "Sushi bar", "Szcheuan", "Tacos", "Taiwanese", "Take out", "Tapas", "Tapas Bar", "Thai", "To go", "Tofu", "Turkish", "Vegetarian", "Veggie", "Vietnamese", "american", "asado", "asian", "asian fusion", "barbecue", "bistro", "breakfast", "breakfast and brunch", "burger", "burgers", "burrito", "cambodian", "chinese", "coffee and light bites", "coffeehouse", "comfort food", "diner", "dumplings", "fast food", "fish", "french", "freshwater fish", "gastrobar", "gastropub", "greek", "halal", "healthy meal", "indian", "italian", "izakaya", "japanese", "latin american", "light meal", "lobster", "non meat", "noodles", "parisian", "pasta", "persian", "pick up", "pizza", "pizza and pasta", "ramen", "seafood", "sichuan", "small plates", "southern", "spicy Indian", "spicy indian", "spicy noodles", "steakhouse", "sushi", "sushi bar", "szcheuan", "tacos", "take out", "tapas", "tapas bar", "unlimited", "vegetarian", "?" ] }, "city": { "dataset_names": [ "sgd" ], "description": "City in which the restaurant is located", "possible_values": [ "none", "do not care", "Alameda", "Alamo", "Albany", "Antioch", "Belmont", "Benicia", "Berkeley", "Bodega Bay", "Brentwood", "Brisbane", "Burlingame", "Calistoga", "Campbell", "Castro Valley", "Clayton", "Cloverdale", "Concord", "Corte Madera", "Cotati", "Cupertino", "Daly City", "Danville", "Discovery Bay", "Dixon", "Dublin", "El Cerrito", "Emeryville", "Fairfax", "Fairfield", "Forestville", "Foster City", "Fremont", "Gilroy", "Half Moon Bay", "Half moon bay", "Hayward", "Healdsburg", "Hercules", "Kenwood", "LAfayette", "Lafayette", "Larkspur", "Livermore", "Los Altos", "Los Gatos", "MIll Valley", "Marshall", "Martinez", "Menlo Park", "Menlo park", "Mill Valley", "Mill valley", "Millbrae", "Milpitas", "Montara", "Moraga", "Morgan Hill", "Mountain View", "Mountain view", "Napa", "Newark", "Novato", "Oakland", "Occidental", "Olema, California", "Orinda", "Pacifica", "Palo ALto", "Palo Alto", "Petaluma", "Pinole", "Pittsburg", "Pleasant Hill", "Pleasant hill", "Pleasanton", "Point Reyes Station", "Portola Valley", "REdwood City", "Redwood City", "Redwood city", "Richmond", "Rohnert Park", "Ross", "Rutherford", "SAN frANCISCO", "SF", "SFO", "San Anselmo", "San Bruno", "San Carlos", "San Fran", "San Francisco", "San Jose", "San Leandro", "San Lorenzo", "San Mateo", "San Rafael", "San Ramon", "San fran", "San francisco", "San jose", "San ramon", "Santa Clara", "Santa Rosa", "Saratoga", "Sausalito", "Sebastopol", "Sf", "Sonoma", "South San Francisco", "St. Helena", "Sunnyvale", "Tiburon", "Union City", "Union city", "Vacaville", "Vallejo", "Walnut Creek", "Walnut creek", "Windsor", "Woodside", "Yountville", "alameda", "albany", "antioch", "berkeley", "brentwood", "burlingame", "campbell", "concord", "danville", "dublin", "fairfield", "fremont", "gilroy", "half moon bay", "hayward", "healdsburg", "larkspur", "livermore", "los altos", "los gatos", "martinez", "menlo park", "mill valley", "milpitas", "moraga", "mountain view", "napa", "oakland", "palo alto", "petaluma", "pleasanton", "redwood city", "rohnert park", "san Fran", "san Francisco", "san Jose", "san carlos", "san fran", "san francisco", "san jose", "san leandro", "san rafael", "santa rosa", "sebastopol", "sf", "sfo", "sonoma", "south San Francisco", "south san francisco", "sunnyvale", "union city", "vacaville", "vallejo", "walnut creek", "windsor" ] }, "count": { "dataset_names": [ "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "cuisine": { "dataset_names": [ "sgd" ], "description": "Cuisine of food served in the restaurant", "possible_values": [ "none", "do not care", "Afghan", "African", "American", "Asado", "Asian", "Asian Fusion", "Barbecue", "Basque", "Beijing", "Bistro", "Brasserie", "Brazilian", "Breakfast", "Breakfast and Brunch", "Breakfast and brunch", "Brunch", "Buffet", "Burger", "Burgers", "Burmese", "Burrito", "Cafe", "California", "Cambodian", "Cantonese", "Caribbean", "Chinese", "Coffee and light bites", "Coffeehouse", "Comfort Food", "Comfort food", "Contemporary", "Cuban", "Curry", "Deli", "Diner", "Dumplings", "English", "Ethiopian", "European", "Fast food", "Filipino", "Fish", "Fondue", "French", "Freshwater Fish", "Freshwater fish", "Gastrobar", "Gastropub", "Georgian", "German", "Greek", "Halal", "Healthy meal", "Himalayan", "Hunan", "Indian", "Italian", "Izakaya", "Jamaican", "Japanese", "Korean", "Korean Barbeque", "Korean Hot Pot", "Korean Hot pot", "Korean barbeque", "Laotian", "Latin American", "Lebanese", "Light meal", "Lithuanian", "Lobster", "Malaysian", "Mediterranean", "Mexican", "Middle Eastern", "Middle eastern", "Moroccan", "Nepalese", "Non meat", "Noodle", "Noodles", "Oriental", "Ostrea", "PHO", "Pakistani", "Parisian", "Pasta", "Persian", "Peruvian", "Pho", "Pick up", "Pizza", "Pizza and Pasta", "Pizza and pasta", "Portuguese", "Punjabi", "Quick Meal", "Quick meal", "Ramen", "Russian", "Salad", "Salad bar", "Seafood", "Shabu Shabu", "Shabu shabu", "Shanghai", "Sichuan", "Sicilian", "Singaporean", "Small plates", "Snacks", "Soul Food", "Soup", "Soup and Salad", "Southern", "Spanish", "Spicy Indian", "Spicy Noodles", "Steakhouse", "Sushi", "Sushi Bar", "Sushi bar", "Szcheuan", "Taco", "Tacos", "Taiwanese", "Take out", "Tapas Bar", "Tex Mex", "Thai", "To go", "Turkish", "Vegetarian", "Veggie", "Vietnamese", "african", "american", "asian", "asian fusion", "barbecue", "bistro", "brasserie", "brazilian", "breakfast", "breakfast and brunch", "brunch", "buffet", "burger", "burgers", "burrito", "cafe", "california", "cambodian", "cantonese", "chinese", "coffee and light bites", "coffeehouse", "comfort food", "cuban", "curry", "deli", "diner", "dumplings", "ethiopian", "european", "fast food", "filipino", "fish", "freshwater fish", "fusion", "gastrobar", "gastropub", "greek", "healthy meal", "himalayan", "indian", "italian", "izakaya", "japanese", "korean Barbeque", "korean Hot pot", "korean barbeque", "korean hot pot", "latin american", "light meal", "lobster", "malaysian", "mediterranean", "mexican", "moroccan", "non meat", "noodle", "noodles", "oriental", "parisian", "pasta", "pho", "pick up", "pizza", "pizza and pasta", "punjabi", "quick meal", "ramen", "salad", "salad bar", "salvadoran", "sandwich", "seafood", "sichuan", "small plates", "snacks", "soup", "soup and salad", "southern", "spicy indian", "spicy noodles", "steakhouse", "sushi", "sushi bar", "szcheuan", "tacos", "taiwanese", "take out", "tapas", "tapas bar", "tex mex", "to go", "unlimited", "vegan", "vegetarian", "veggie", "?" ] }, "date": { "dataset_names": [ "sgd", "sgd" ], "description": "Date for the reservation or to find availability", "possible_values": [ "none", "do not care", "10th of March", "10th of March 2019", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of March", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of MArch", "3rd of March", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 10th", "MArch 11th", "MArch 1st", "MArch 2nd", "MArch 3rd", "MArch 9th", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Friday", "Saturday this week", "Sunday this week", "The 1st", "The 9th", "This saturday", "Thursday next week", "Today", "Tuesday next week", "Tuesday, next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "saturday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "this sunday", "thursday next week", "today", "tomorrow", "wednesday next week" ] }, "has_live_music": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the restaurant has live music", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "has_seating_outdoors": { "dataset_names": [ "sgd" ], "description": "Whether the restaurant has outdoor seating available", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "has_vegetarian_options": { "dataset_names": [ "sgd" ], "description": "Whether the restaurant has adequate vegetarian options", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "location": { "dataset_names": [ "sgd" ], "description": "City where the restaurant is located", "possible_values": [ "none", "do not care", "Alameda", "Albany", "American Canyon", "Antioch", "Belmont", "Benicia", "Berkeley", "Bolinas", "Brentwood", "Burlingame", "Calistoga", "Campbell", "Castro Valley", "Cloverdale", "Concord", "Corte Madera", "Cupertino", "Daly City", "Daly city", "Danville", "Dublin", "El Cerrito", "Emeryville", "Fairfax", "Fairfield", "Foster City", "Fremont", "Geyserville", "Gilroy", "Glen Ellen", "Half MOon bay", "Half Moon Bay", "Hayward", "Healdsburg", "Hercules", "Kenwood", "Lafayette", "Larkspur", "Livermore", "Los Altos", "Los Gatos", "Martinez", "Menlo Park", "Mill VAlley", "Mill Valley", "Mill valley", "Millbrae", "Milpitas", "Montara", "Moraga", "Morgan Hill", "Mountain View", "Napa", "Newark", "Novato", "Oakland", "Occidental", "Orinda", "Pacifica", "Palo Alto", "Palo alto", "Pescadero", "Petaluma", "Pinole", "Pittsburg", "Pleasant HIll", "Pleasant Hill", "Pleasanton", "Point Reyes Station", "Redwood City", "Redwood city", "Richmond", "Rio Vista", "Rohnert Park", "SF", "SFO", "San Bruno", "San Carlos", "San Fran", "San Francisco", "San JOse", "San Jose", "San Leandro", "San Mateo", "San Pablo", "San Rafael", "San Ramon", "San leandro", "Santa Clara", "Santa ROsa", "Santa Rosa", "Santa rosa", "Saratoga", "Sausalito", "Sebastopol", "Sonoma", "South San Francisco", "St. Helena", "Suisun City", "Sunnyvale", "Union City", "Vacaville", "Vallejo", "Walnut Creek", "Windsor", "Woodside", "alameda", "berkeley", "burlingame", "concord", "cupertino", "dixon", "dublin", "fairfax", "fairfield", "gilroy", "half moon bay", "healdsburg", "lafayette", "livermore", "mill valley", "pittsburg", "redwood city", "san Fran", "san fran", "san francisco", "san jose", "san rafael", "santa clara", "santa rosa", "sf", "south san francisco", "sunnyvale" ] }, "number_of_seats": { "dataset_names": [ "sgd" ], "description": "Number of seats to reserve at the restaurant", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "6" ] }, "party_size": { "dataset_names": [ "sgd" ], "description": "Party size for a reservation", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5", "6" ] }, "phone_number": { "dataset_names": [ "sgd", "sgd" ], "description": "Phone number of the restaurant", "possible_values": [ "?" ] }, "price_range": { "dataset_names": [ "sgd", "sgd" ], "description": "Price range for the restaurant", "possible_values": [ "none", "do not care", "cheap", "expensive", "inexpensive", "moderate", "pricey", "ultra high-end", "very expensive", "?" ] }, "rating": { "dataset_names": [ "sgd" ], "description": "Average user rating for restaurant on a scale of 5", "possible_values": [ "?" ] }, "restaurant_name": { "dataset_names": [ "sgd", "sgd" ], "description": "Name of the restaurant", "possible_values": [ "none", "do not care", "1300 On Fillmore", "1300 on Fillmore", "1300 on fillmore", "1760", "25 LUsk", "25 Lusk", "25 lusk", "2G Japanese Brasserie", "2g Japanese Brasserie", "2g japanese Brasserie", "2g japanese brasserie", "3 Seasons Thai Bistro", "3 seasons Thai Bistro", "37 North", "37 north", "3rd Cousin", "4th St Pizza Co", "5 Joy Restaurant", "54 Mint Ristorante Italiano", "54 mint Ristorante Italiano", "54 mint ristorante italiano", "5a5 Steak Lounge", "5a5 Steak lounge", "7 Mares", "7 mares", "71 Saint Peter", "71 saint peter", "8 Dragons", "8 Immortals Restaurant", "8 Sushi", "8 sushi", "88 Keys Cafe", "88 keys cafe", "8elements", "A Bellagio Italian Restaurant", "A La Turca", "A Plus Cafe", "A'trio", "A16", "AL's Place", "Aappakadai", "Aato", "Aatxe", "Absinthe Brasserie and Bar", "Acacia House by Chris Cosentino", "Academy Bar And Kitchen", "Academy Bar and Kitchen", "Academy bar", "Acapulco", "Ace Wasabi", "Ace Wasabi Rock n Roll Sushi", "Ace Wasabi Rock n roll Sushi", "Ace Wasabi rock n roll Sushi", "Acquerello", "Acquolina", "Addis", "Addis Restaurant", "Adega", "Afghan Village Restaurant", "Agave Grill", "Agave Grill and Cantina", "Agave Mexican Bistro", "Agave Mexican bistro", "Agave Uptown", "Agrodolce Osteria", "Ajanta", "Akane Japanese restaurant", "Akemi Japanese Restaurant", "Akiko's Restaurant", "Akiko's SUshi Bar", "Akiko's Sushi Bar", "Akiko's sushi Bar", "Akiko's sushi bar", "Akira Japanese Restaurant", "Al Castello Ristorante", "Al castello ristorante", "Al's Place", "Ala Romana", "Ala romana", "Alamar Kitchen and Bar", "Alameda Cinema Grill", "Alamo Cafe", "Alamo Square Seafood Grill", "Alamo Square seafood grill", "Alba Ray's", "Alberto's Cantina", "Alborz Restaurant", "Aldo Los Altos", "Aldo's Ristorante and Bar", "Alegrias", "Alexander's Steakhouse", "Alfred's", "Ali Baba", "Alice's", "Aliment", "Alioto's", "All Spice", "All spice", "Allegria", "Allegro ROmano", "Allegro Romano", "Alta Msp", "Aly's On Main", "Aly's on Main", "Amakai Japanese Cuisine", "Amalfi", "Amami", "Amami San", "Amami san", "Amaravati", "Amarin", "Amber", "Amber India", "Ambience Restaurant", "Amelie San Francisco", "American Kitchen", "Amour Amour", "Amoura", "An Japanese Restaurant", "Anar", "Anatolian", "Anatolian Kitchen", "Anchor and Hope", "Ancient Szechuan", "Andes Cafe", "Andes Cafe San Mateo", "Andy and Yu's", "Andy's Bar b que", "Andy's Sushi", "Angel Fish", "Angelo Mio", "Angelo's Italian Restaurant", "Angkor Borei Restaurant", "Angry Fish", "Anh Hong", "Aniki's Sushi", "Anjappar", "Anjappar Chettinad Restaurant", "Annapurna Restaurant and Bar", "Anokha Cuisine of India", "Antoinette Restaurant", "Antonella's Ristorante", "Aperto", "Applebee's", "Applebee's Grill + Bar", "Applebee's grill + bar", "Aq", "Aquitaine", "Aquitaine Wine Bar and Bistro", "Arabian Nights", "Archetype", "Arguello", "Ariake", "Arka Indian Restaurant", "Artisan", "Asena", "Asian Pearl Seafood REstaurant", "Asian Pearl Seafood Restaurant", "Asian pearl Seafood Restaurant", "Aslam's", "Aslam's Rasoi", "Asmara Restaurant", "Asya", "Atami Sushi Bar and Grill", "Atelier Crenn", "Athena Grill and Catering", "August 1 Five", "Auryn Thai Cuisine", "Aux Delices", "Aveline", "Aya Sushi", "Ayola", "Azit", "B K's Bistro", "B Star", "B side", "B44 Catalan Bistro", "BJ's Restaurant and Brewhouse", "Baan Thai House and Wine Bar", "Baan Thai House and Wine bar", "Baan Thai House and wine bar", "Babu Ji", "Babu Ji Sf", "Baby Blues", "Baby Blues Bbq", "Bacco", "Bacheesos", "Baci", "Baci ", "Baci Bistro And Bar", "Back Forty Texas Bbq", "Backyard", "Bai Thong Thai", "Baja Cactus", "Bajis Cafe", "Bajis cafe", "Baker Street Bistro", "Balboa Cafe", "Bamboo Restaurant", "Bamboo restaurant", "Banana Leaf", "Banana leaf restaurant", "BandB Kitchen and Wine Bar", "Bandb Kitchen", "Bandb Kitchen and Wine Bar", "Bandb Kitchen and Wine bar", "Bandb kitchen and Wine Bar", "Bangkok Garden", "Banh Thai Restaurant", "Banh thai restaurant", "Bar Agricole", "Bar Cesar", "Bar Tartine", "Barcha", "Barcote ", "Barn Thai", "Barnzu", "Barracuda Japanese Restaurant", "Barranco Cocina", "Barrel Head", "Barrel House Tavern", "Bartlett Hall", "Barvale", "Basalt", "Bashamichi", "Basil", "Basilico", "Bask", "Batika India Bistro", "Battambang Restaurant", "Bazille", "Bear Republic", "Bear Republic Brewing Co", "Bear Republic Brewing Co.", "Becky's", "Beer Baron Bar and Kitchen", "Begoni Bistro", "Bei Fang Style", "Beijing Restaurant", "Belcampo Restaurant and Butcher Shop", "Belga", "Bella Saratoga", "Bellanico Restaurant And Wine Bar", "Bellanico Restaurant and Wine Bar", "Bellota", "Belly Left Coast", "Belly Left Coast Kitchen and Taproom", "Belly Left coast Kitchen and Taproom", "Belly Left coast kitchen and taproom", "Belly left coast kitchen and taproom", "Belotti Ristorante E Bottega", "Ben Wah Restaurant", "Benihana", "Benissimo", "Benissimo Restaurant and Bar", "Bennigan's", "Benvenuti Ristorante", "Bergerac", "Berkeley Social Club", "Beso Bistro and Wine Bar", "Beso Bistronomia", "Best Lil' Porkhouse", "Best Taste Sushi and Chinese Restaurant", "Best of Burma", "Best taste Sushi and Chinese Restaurant", "Betto's Bistro", "Betty Lou's Seafood and Grill", "Big 4", "Big T's Seafood Market Bar", "Bikaner", "Bikaner Indian Cuisine", "Billy Berk's", "Billy berk's", "Billy's Boston Chowder House", "Binh Minh Quan", "Binh Minh quan", "Bird Dog", "Birk's", "Biryani Pot", "Biscuits and Blues", "Bissap Baobab", "Bistro 100", "Bistro 10un", "Bistro Aix", "Bistro Boudin", "Bistro Des Copains", "Bistro Don Giovanni", "Bistro Jeanty", "Bistro Liaison", "Bistro Maxine", "Bistro Unique", "Bistro Vida", "Bistro liaison", "Bistro vida", "Bj's", "Bj's Restaurant and Brewhouse", "Bj's restaurant and brewhouse", "Black Angus", "Black Angus Steakhouse", "Blackhawk Grille", "Blue Gingko Blackhawk", "Blue Mermaid", "Blue Sky", "Bluefin", "Boardwalk Grill", "Bob's Steak and Chop House", "Bob's Steakhouse", "Bobo's", "Boca Pizzeria", "Boiling hot pot", "Bombay Garden Restaurant", "Bombay Indian Restaurant", "Bombay To Goa", "Bombay to Goa", "Bon Marche Brasserie and Bar", "Bon vivant restaurant", "Bottega Napa Valley", "Boulibar", "Bourbon Steak", "Bourbon Steak Restaurant", "Bowl and PLate At White Shallot", "Bowl and Plate At White Shallot", "Bowl'd", "Bowl'd Bbq", "Bradley's fine Diner", "Brass Rabbit", "Brasserie Restaurant and Lounge", "Brickhouse Cafe", "Brix Restaurant And Gardens", "Brix Restaurant and Gardens", "Brixx Pizzeria", "Broadway", "Broadway Dim Sum", "Broadway Masala", "Broderick Roadhouse", "Bronze Buddha", "Brotzeit Lokal ", "Bruno's", "Bruno's On Fourth", "Bruno's On fourth", "Buca Di Beppo Italian Restaurant", "Buca di Beppo Italian Restaurant", "Bud's Pub and Grill", "Buon Appetito", "Burma Love", "Burma Ruby", "Burma Ruby Burmese Cuisine", "Burmese Kitchen", "Bursa Restaurant", "Bushido", "Butterfly", "Butterfly restaurant", "C'Era Una Volta", "C'era Una Volta", "CHina Station Restaurant", "CHina VIllage Seafood Restaurant", "Ca' Momi Osteria", "Ca'bianca", "Cafe Baklava", "Cafe Claude", "Cafe Del Sol Restaurant", "Cafe Eritrea D'afrique", "Cafe Ethiopia", "Cafe Jolie", "Cafe La Scala Italian Rest.", "Cafe Romanat", "Cafe Tandoor", "Cafe Vitale", "Caffe Delle Stelle Restaurant", "Caffe Sport", "Caffe delle Stelle Restaurant", "Cala", "Calavera", "California Cafe", "Californios", "Campo Di Bocce Of Fremont", "Campo Di Bocce Of Livermore", "Campo Di Bocce Of Los Gatos", "Campo Di Bocce of Livermore", "Campo Di Bocce of Los Gatos", "Campo Di bocce Of Livermore", "Campo Fina", "Canton Village Restaurant", "Capellini Restaurant", "Capers Eat and Drink", "Caprinos", "Caraway Indian Cuisine", "Carneros Bistro", "Carnitas Michoacan", "Casa Lupe", "Casa Orinda", "Caspian Village", "Cassava", "Castagna", "Castle Rock", "Castle Rock Restaurant", "Catch", "Cattlemens", "Celia's", "Celia's By The Beach", "Celia's By the Beach", "Celia's Mexican Restaurant", "Celia's mexican restaurant", "Central Kitchen", "Central Park Bistro", "Cetrella", "Cha Cha Cha", "Cha Cha Cha Cuba", "Chaat Bhavan", "Chaat Corner", "Chaat Paradise", "Chacho's", "Chai Thai Noodles", "Chaiya Thai Restaurant", "Chalkboard", "Cham Sae Bistro", "Champa Garden Restaurant", "Chantilly", "Chao praya", "Chapala Mexican Restaurant", "Chaparral", "Chaplin's Sports Bistro", "Charlie Palmer Steak Napa", "Charlie's Restaurant", "Chef Chao Restaurant", "Chef Chao restaurant", "Chef Li", "Chef Ming's", "Chef Wang's Restaurant", "Chef Zhao", "Chef Zhao Bistro", "Chef Zhao Kitchen", "Chef's experience china bistro", "Chengdu Style Restaurant", "Cheung Hing Restaurant", "Chevalier Restaurant", "Chevalier restaurant", "Chevys Fresh Mex", "Chevys Fresh mex", "Chevys fresh mex", "Chez Panisse", "Chez Sovan Restaurant", "Chez Tj", "Chez panisse", "Chianti Cucina", "Chianti Osteria", "Chicago Steak and Fish", "Chili House Sf", "Chili's Grill", "Chili's Grill and Bar", "Chimek", "China Chef", "China Chef Restaurant", "China Delight", "China Delights", "China Garden", "China Garden Restaurant", "China House Restaurant", "China Moon", "China Palace Restaurant", "China Paradise Restaurant", "China Station REstaurant", "China Station Restaurant", "China Stix", "China Villa", "China Village Restaurant", "China Village Seafood Restaurant", "China Wok", "Chong Qing Xiao Mian", "Chop Bar", "Chop bar", "Chouquet's", "Chuck E. Cheese's", "Citrus Restaurant", "City Chopsticks", "City View", "City Winery Napa", "City chopsticks", "Cj House Korean Bbq", "Claim Jumper REstaurants", "Claim Jumper Restaurants", "Claw Shack", "Claws And Craws", "Clay Oven", "Clementine's", "Co Nam", "Coast Cafe", "Coconut Bay", "Coconut Bay Thai Restaurant", "Comal", "Contrasto", "Cook Tavern and Pizzeria", "Cooking Papa", "Corridor", "Coup De Thai", "Coupa Cafe", "Crab House", "Crave Asia", "Crazy Pepper", "Creasian", "Crocodile", "Crogan's Montclair", "Crouching TIger", "Crouching Tiger", "Crouching Tiger Restaurant", "Cucina Paradiso", "Cugini Restaurant", "Cuisine Of Nepal Restaurant", "Cuisine of Nepal Restaurant", "Cut The Crab", "Cypress Restaurant", "D J's Bistro", "DIno's Restaurant", "Da Lian Restaurant", "Da Sichuan Bistro", "Dae Bak", "Daiki Sushi", "Daily Grill", "Dallimonti's Italian Restaurant", "Dan Izakaya Restaurant", "Dana's", "Danville Harvest", "Dara", "Dara Thai/Lao Cuisine", "Dara Thai/lao Cuisine", "Darbar Indian Cuisine", "Darbar Indian cuisine", "Darda", "Darda Seafood", "Dash Japanese Tapas And Sushi", "De La Torre's Trattoria", "Delage", "Delhi Diner", "Delizie", "Della Santina's", "Demitri's Taverna", "Destino", "Diavola Pizzeria and Salumeria", "Dicicco's Ristorante Italiano Autentico", "Dickey's", "Dickey's Barbecue Pit", "Dim Sum Club", "Dim Sum King", "Din Tai Fung", "Dinah's", "Dinah's Poolside Restaurant", "Dino's Restaurant", "Dishdash", "Dishdash Grill", "Divino Ristorante", "Dj's", "Dj's Chinese Cuisine", "Don Giovanni", "Don Perico Mexican Restaurant", "Donato and Co.", "Dong Que", "Dopo", "Doppio Zero", "Double Dragon", "Dragon Gate", "Drakes Sonoma Coast", "Drying Shed", "Duarte's Tavern", "Duchess Oakland", "Duck Club Restaurant", "Duende", "Dumpling Era", "Dyafa", "Dynasty", "Earth's Bounty Kitchen and Wine Bar", "Effie's Restaurant and Bar", "Egg Roll King", "Eiko's Sushi", "El Amigo", "El Amigo Burrito", "El Caminito", "El Charro Mexican Food and Cantina", "El Coronel Mexican Restaurant", "El Farolito", "El Lucerito Restaurante Guatemalteco San Rafael", "El Mansour", "El Morocco", "El Rancho", "El Sinaloense Restaurant", "El Tesoro", "El Torito", "El Tule", "El Valenciano", "Elements Restaurant", "Elephant Bar", "Elephant Bar Restaurant", "Elevenfifty", "Elmira Rosticceria", "Emil Villa's Hickory Pit", "Emile's", "Emperor of India", "Encuentro", "Enoteca La Storia", "Enoteca La Storia Downtown", "Enoteca la Storia", "Enzo's Italian Restaurant", "Enzo's italian restaurant", "Ephesus", "Erawan Thai Cuisine", "Erawan Thai Restaurant", "Eric's", "Esperpento Restaurant", "Estampas", "Estampas Peruanas Restaurant", "Eurasia", "Eureka!", "Eve's Waterfront", "Evelyn's Big Italian Pizzeria and Ristorante", "Everest", "Everest Kitchen", "Farm House Local", "Farmshop", "Favela's", "Favela's Fusion", "Favorite Indian", "Favorite Indian Restaurant", "Faz Restaurants and Catering San Jose", "Fiery Hot Pot", "Fiery Hot Pot Buffet", "Filippi's Pizza", "Filippo's Berkeley Elmwood", "Finnegan's Marin Restaurant and Bar", "Fior D'italia", "Fiorillo's Restaurant and Banquet Facilities", "Firehouse Grill", "First St. Cafe", "First Street Alehouse", "Flames Eatery", "Flavor Of India North and South Cuisine", "Flights Restaurant Burlingame", "Flora", "Flowering Tea House", "Flying Fish Bar and Grill", "Fonda", "Fondue Cowboy", "Fondue Fred", "Fontana's", "Forbes Mill Steakhouse", "Foreign Cinema", "Forge Napa", "Forge Pizza Oakland", "Fork Roadhouse", "Fort McKinley Restaurant, Bar and Banquet", "Fort Mckinley Restaurant, Bar and Banquet", "Fortune Restaurant", "Fortunes Restaurant Milpitas", "Fradelizio's", "Fradelizio's Ristorante", "Frannie's Restaurant", "Frantoio", "Frida's", "Frida's Colibri Restaurant and Bar", "Frida's Mexican Grill", "Fringale Restaurant", "Fringale restaurant", "Fuego Tequila Grill", "Fugetsu", "Fuji Sukiyaki", "Fujiyama ya", "Fuki Sushi", "Fukusuke Restaurant", "Fume", "Furusato", "Gallo's", "Galpao Gaucho Brazilian Steakhouse", "Gary Chu's", "Gaspare's pizzeria ristorante", "Gather", "Gau Poang", "Gau poang", "Gaumenkitzel", "Gay 90's Pizza Co.", "Gen Korean BBQ", "Gen Korean Bbq House", "Genghix", "Genghix Asian Fusion", "Georges", "Gerry's Grill", "Gianni's Italian Bistro", "Giant New York Pizza", "Giant New york pizza", "Gibson", "Ginger Cafe", "Ginto", "Ginza ", "Glen Ellen Inn", "Go Goong", "Go Vegan", "Gochi Cupertino", "Gochi Japanese Fusion Tapas", "Gogi Time", "Gold Chopsticks", "Golden Garlic", "Golden Gate Indian Cuisine and Pizza", "Golden Harvest", "Golden House", "Golden Wok", "Goood Frikin chicken", "Gorkha Kitchen", "Grand Harbor", "Great China Restaurant", "Great Wall ", "Great Wall Restaurant", "Great wall ", "Green Chile", "Green Elephant Gourmet", "Green Papaya", "Green Tea House Chinese Restaurant", "Green papaya", "Grill At The St. Regis", "Grill At the St. Regis", "Grill Em Steak House and Sports Bar", "Grill Em Steak House and sports Bar", "Grill Em Steak house and Sports Bar", "Grill at the St. Regis", "Guadalajara Grill", "Guaymas Restaurant", "Gumba's", "Gumbas", "Gypsy", "Gypsy Cafe", "Habanas Cuban Cuisine", "Hakka", "Hakkasan", "Haku Sushi", "Half Moon Bay Joe's", "Halu Shabu Shabu", "Han Dae Gam Korean BBQ", "Han Dae Gam Korean Bbq", "Hana", "Hanami", "Hanami Sushi", "Hang Ah Dim Sum Tea House", "Hangen Szechuan", "Happi House Famous Teriyaki", "Happy Garden", "Happy Kitchen", "Happy Sashimi", "Hardwood Bar and Smokery", "Harumi", "Harumi Sushi", "Hatcho", "Hikari Sushi", "Himalayan Tandoori", "Himalayan Tandoori And Curry House", "Himalayan Tandoori and Curry House", "Himalayan Tandoori and Curry house", "Himalayan flavors", "Hinata Sushi Buffet", "Hiro", "Hisui", "Hisui ", "Hisui 2", "Hokkaido", "Hokkaido Buffet", "Holy Basil Pho", "Homestead", "Honey Cuisine", "Honey Thai Restaurant", "Hong Kong", "Hong Kong East Ocean Seafood Restaurant", "Hong Kong Restaurant", "Hongs Gourmet", "Horatio's", "Hot Basil Cafe", "Hot Crab", "Hot Wok Bistro Too", "Hot basil cafe", "House Of Genji", "House of Curries", "Hs Lordships Restaurant", "HuKilau", "Hukilau", "Hunan Chef Chinese Restaurant", "Hunan Chili", "Hunan Cuisine", "Hunan Empire Restaurant", "Hunan Impression", "Hunan Restaurant", "Hunan restaurant", "Hwaro", "I Love Sushi and Tofu", "Ijji Sushi", "Ikaros Greek Restaurant", "Il Davide", "Imperial", "Imperial Garden restaurant", "Imperial Seafood Restaurant", "Inca's Palace", "Inchin's", "Inchin's Bamboo Garden", "Inchin's bamboo garden", "Incontro Ristorante", "Infinite thai eatery", "Ipoh Garden Malaysian Cuisine", "Ippuku", "Iron Gate Restaurant", "Isla Filipino Restaurant", "Isla Restaurant", "Isushi", "Italian Affair", "Italico", "Iyasare", "Izakaya Ginji", "Izakaya Kitaru", "Izakaya Kou", "Izakaya Sushi Ran", "Izzy's Steaks", "J's Garden", "J's Garden Restaurant", "JAlisco's", "Jack's Restaurant and Bar San Bruno", "Jackson Fillmore Trattoria", "Jackson's Bar And Oven", "Jade Dragon", "Jade Dragon Restaurant", "Jai Yun Restaurant", "Jalisco's Restaurant", "Jang Su Jang", "Jannah", "Jasmine", "Jasmine Chinese Cuisine", "Jin Sho", "Jing Jing Szechwan and Hunan Gourmet", "Jing jing Szechwan", "Jing jing Szechwan and Hunan Gourmet", "Jo's Sushi Bar", "John Bentley's Restaurant", "John's Grill", "Johnny Carino's", "Johnny Foley's Irish House", "Johnny's", "Jojo Restaurant", "Jojo Restaurant and Sushi Bar", "Jojo restaurant", "Joy Sushi", "Juan's Place", "Juanita and Maude", "Juban", "Juban Yakiniku House", "Juban Yakiniku House Japanese", "Judoku Sushi", "Juerga", "K K Chinese", "KC's American Kitchen", "Kabila", "Kabul Afghan Cuisine", "Kabuto", "Kaigan Sushi", "Kamakshi's Kitchen Restaurant", "Kamakura", "Kamakura Japanese Restaurant", "Kamdesh Afghan Kabab House", "Kamikaze Sushi", "Kamikaze Sushi Bar and Cuisine", "Kampai Bar", "Kamrai Sushi and Thai Grill", "Kana", "Kana Sushi", "Kappo Nami Nami", "Karakade Thai Cuisine", "Katana ya", "Kathmandu Bombay Clay Pit", "Kathmandu Restaurant", "Katsu", "Kawa Sushi", "Kaya Restaurant", "Kc's American Kitchen", "Kenzo", "Kettles", "Kettles Vietnamese Bistro", "Khamsa", "Khana Peena", "Khoom Lanna", "Kiku", "Kikusushi Japanese Restaurant", "Kin Khao", "Kin Windsor", "Kincaid's", "King Chuan", "King Dong Restaurant", "King Sun Buffet", "King Yen Restaurant", "Kingston 11 Cuisine", "Kinjo", "Kirin", "Kirin Restaurant", "Kittea Cat", "Kobe", "Kobe Japan Restaurant", "Kobe Japan restaurant", "Kobe Japanese Restaurant", "Kobe japan restaurant", "Koh Samui and The Monkey", "Koi Palace", "Koi Palace Milpitas", "Kokkari Estiatorio", "Korea Garden", "Korean Spring", "Koryo", "Koryo Sushi", "Krua", "Krua Thai", "Krungthai", "Kufu ya", "Kuleto's", "Kusakabe", "Kuya's Asian Cuisine", "Kyoto", "Kyoto Palace Japanese Steakhouse", "La Briciola", "La Cabana", "La Casa", "La Costanera", "La Finestra", "La Finestra Ristorante", "La Fogata", "La Fogata Mexican Bar and Grill", "La Folie", "La Fontana", "La Fritanguera", "La Fuente Mexican Bar Restaraunt", "La Furia Chalaca", "La Ginestra", "La Hacienda", "La Laguna", "La Mar Cebicheria Peruana", "La Marcha Tapas Bar", "La Marsa", "La Mediterranee", "La Note", "La Paloma", "La Panotiq", "La Penca Azul", "La Pinata", "La Sen Bistro WC", "La Strada Italian Cuisine", "La Taberna", "La Toque", "La Vera", "La Vera Pizza", "La Viga Seafood", "La Viga Seafood and Cocina Mexicana", "La casa", "La mar", "Ladera Grill", "Lake Chalet", "Lalla", "Lanna Thai Restaurant", "Lapats Noodles", "Lark", "Lark Creek", "Las Guitarras Restaurant", "Lavier", "Layang Layang", "Le Central", "Le Cheval", "Le Petit", "Le Petit Bistro", "Le Tasty", "Left Bank", "Left Bank Larkspur Brasserie", "Left bank Larkspur Brasserie", "Leila By The Bay", "Lemongrass", "Lemongrass Bistro", "Lemongrass thai cuisine", "Leopold's", "Lers Ros", "Li Zhou Chinese Restaurant", "Lighthouse Bar", "Lighthouse Bar and Grill", "Lily Kai", "Limon", "Limon Rotisserie", "Limon Rotisserie Burlingame", "Limon rotisserie Walnut Creek", "Lin Jia Asian Kitchen", "Lin Jia Asian kitchen", "Lion and Compass", "Lisa's", "Little Hong Kong", "Little Hunan", "Little Nepal", "Little Whale Seafood", "Locanda Positano", "Loft Bar and Bistro", "Lord Stanley", "Los Altos Grill", "Los Palillos Restaurant", "Los Reyes Restaurante Y Cantina", "Lotus", "Lotus Chaat", "Lotus Cuisine", "Lotus Garden", "Lotus Thai Bistro", "Lotus Thai Restaurant", "Lotus Thai restaurant", "Lovina", "Luca Cucina Italiana", "Lucca Bar and Grill", "Lucy Restaurant and Bar", "Ludwig's German Table", "Luna Blu", "Luna Loca", "Lungomare", "M.Y. China Graton Resort and Casino", "M.y. China", "M.y. China Graton Resort and Casino", "Ma's", "Madera", "Madhuban", "Madhuban Indian Cuisine", "Maggiano's Little Italy", "Mai", "Mai Thai Cuisine", "Mama Papa Lithuania Restaurant", "Mandaloun", "Mandarin Restaurant And Lounge", "Maneelap Srimongkoun Restaurant", "Maneki Sushi Union City", "Mangia Bene Restaurant", "Mangia Mangia", "Mango on Main ( A.k.a.mini mango thai bistro)", "Mantra India", "Marche Aux Fleurs", "Marhaba Indian and Pakistani Halal Cuisine", "Marhaba Indian and Pakistani Halal cuisine", "Marie Callender's", "Mariscos El Patron", "Marlowe", "Marnee thai", "Maruya", "Mary's Pizza", "Mary's pizza", "Masa's", "Massimo's", "Matsu Sushi Japanese Restaurant", "Maurizio's", "May Flower", "May Lee", "Maya Palenque", "Maya Palenque Restaurant", "Mayfield Bakery and Cafe", "Mayuri Indian Cuisine", "Mazzat", "McDonald's", "McDonalds", "Mcdonald's", "Mcdonalds", "Mehak Indian Cuisine", "Mei don", "Mei don Chinese Cuisine", "Meiko", "Meiko Sushi", "Melo's Pizza and Pasta Livermore", "Mendoza's", "Merit Vegan Restaurant", "Meritage Martini Oyster Bar and Grille", "Metro Lafayette", "Mexico Lindo", "Mi Grullense ", "Mi Ranchito", "Mi Zacatecas", "Michaels At Shoreline", "Michaels at Shoreline", "Mijouri Sushibune", "Miliki Restaurant", "Mill Valley Beerworks", "Mimi's", "Mimi's Cafe", "Mimi's cafe", "Miminashi", "Ming's", "Miramar Beach", "Mirchi Cafe", "Mirchi Indian Grill", "Mission Beach Cafe", "Mister Jiu's", "Miyozen", "Miyuki Japanese Restaurant", "Mo'joe Cafe", "Momoya Sushi", "Monsoon Himalayan Cuisine", "Monster Chef", "Montecatini Ristorante", "Montesacro Pinseria", "Monti's", "Moresi's Chophouse", "Morimoto Napa", "Mount Everest", "Mount Everest Restaurant", "Mountain Mike's Pizza", "Moussaka Mediterranean Kitchen", "Mr Mom's", "Mr. Tipple's Recording Studio", "Mua", "Mumbai Chowk", "Mustards Grill", "My Ivy", "My No.1 Sushi", "My No.1 Sushi and Tofu", "My Thai Ii", "Myriad", "Mythos", "Nabe", "Nama Sushi Pleasant Hill", "Namu Gaji", "Napasport Steakhouse And Sports Lounge", "Napoli Pizza taste of The Himalayas", "Napoli Pizza taste of the Himalayas", "Narin Thai Cuisine", "Navin", "Negri's Original Occidental", "New Golden Wok", "New Krungthai", "New Lim's Garden", "Nick's Cove", "Nico's 1508", "Nizza La Bella", "Nobu Palo Alto", "Noir", "Nonni's Bistro", "Noodles And Company", "Noodles and Company", "Nopa", "North Beach Pizza", "Novy", "Novy Restaurant", "Obed", "Ocean Fish Sushi and Grill", "Odeum", "Odori Japanese Cuisine", "Oh Baby Sushi", "Okawa Japanese Restaurant", "Old Mandarin", "Old Siam", "Olive Garden Italian Restaurant", "Olive Garden Italian restaurant", "Olive garden Italian Restaurant", "Oliveto", "On The Border Mexican Grill and Cantina", "On the Border Mexican Grill and Cantina", "Oneup", "Opa Authentic Greek Cuisine Walnut Creek", "Opa! Campbell", "Opa! Los Altos", "Opa! Los Gatos", "Orexi Restaurant", "Original Joe's", "Osake", "Osha thai Restaurant and Lounge", "Osteria Toscana", "Ozora Sushi", "Ozumo", "P.F. Chang's", "P.f. Chang's", "PLaya Mill Valley", "Pacific Catch", "Palermo", "Palermos", "Palmer's", "Pamir Restaurant", "Pampalasa", "Pampas", "Panera Bread", "Papa Ray's", "Papa Ray's Pizza", "Papa's Pizza Cafe", "Paradise", "Paradise Biryani Pointe", "Paradise Sushi", "Paradise Sushi and Grill", "Paragon", "Parkside", "Parkside Grille", "Pasquale's", "Pasta Moon", "Pasta Prego", "Pasta Primavera Cafe", "Pasta moon", "Pastis", "Pastries N Chaat", "Pathos Organic Greek Kitchen", "Patio Espanol", "Patxi's", "Patxi's Pizza", "Paul Martin's", "Paul Martin's America Mountain View", "Paulista Brazilian Kitchen And Taproom", "Paulista Brazilian Kitchen and Taproom", "Paya", "Peacock's Koriander", "Pearl Garden", "Pearl Garden Restaurant", "Pearl River", "Pearl River Restaurant", "Pedro's", "Pelayo's Mexican Food", "Peony Seafood Restaurant", "Pescatore", "Peshawari Kababs", "Pezzella's Villa Napoli", "Phnom Penh Restaurant", "Piacere Restaurant", "Piatti", "Piazza D'angelo", "Picco", "Picco Restaurant", "Picnic on Third", "Pier 29", "Pineapple Village", "Pinoy Handaan", "Pizz'a Chicago", "Platano", "Playa", "Playa Mill Valley", "Plaza Tequila Taqueira Bar and Grill", "Pokeworks", "Poorboy's", "Poplar Creek Grill", "Porterhouse", "Prabh Indian Kitchen", "Precita Park Cafe and Grill", "Prima", "Princess Garden", "Priya", "Pub Republic", "Puerto 27", "Pura Vida Cocina Latina and Sangria Bar", "Qimura Sushi and Ramen", "Qube Bar and Grill", "Radio Africa Kitchen", "Ramen and Sushi (nama japanese cuisine)", "Rancho Cantina", "Rangecafe", "Rasa", "Rasa Sayang", "Rasoi Restaurant and Lounge", "Red Chili Thai Vietnamese Noodle Restaurant", "Red Chillies The Malabar Cuisine", "Red Hot Chilli Pepper", "Red Jade", "Red Lobster", "Red Tavern", "Redd Restaurant", "Regent", "Restaurant Chungdam", "Rice Bowl", "Rick's Cafe", "Rickey's Restaurant", "Risibisi", "Ristorante Amoroma", "Ristorante Carpaccio", "Ristorante buon gusto", "Riva Cucina", "Riverview Lodge", "Rivoli", "Rivoli Restaurant", "Robata Grill and Sushi", "Robin", "Rocknwraps And Kabobs", "Rocknwraps and Kabobs", "Rokko", "Roline's", "Romano'S Macaroni Grill", "Romano's Macaroni Grill", "Rooftop Restaurant and Bar", "Roppongi", "Rose Pistola", "Rosie Mccann's", "Rosie Mccann's Irish Pub and Restaurant", "Roya", "Roya Afghan Cuisine", "Royal Oak", "Royal Rangoon", "Rubio's", "Rubio's Coastal Grill", "Rue Lepic", "Rustic House Oyster Bar And Grill San Carlos", "Rutherford Grill", "Ryoshin Sushi", "SAuced Bbq", "Saap Ver", "Sabio On Main", "Sabuy Sabuy Ii", "Saddles Steakhouse", "Sai's T", "Sai's T Restaurant", "Saigon Seafood", "Saigon Seafood Harbor Restaurant", "Sakana Sushi", "Sake 'o", "Sake' o", "Sakoon", "Sakura", "Sakura 2 Teppanyaki And Sushi", "Sakura 2 Teppanyaki and Sushi", "Sala", "Sala Thai", "Salang Pass Restaurant", "Salt and Stone Restaurant", "San Jose Original Joe's", "San Rafael Joe's", "Sansar Indian Cuisine", "Sapporo Restaurant", "Sargam Indian Cuisine", "Sasa", "Sauced Bbq and Spirits", "Scala's Bistro", "Schellville Grill", "Schroeder's", "Scoma's", "Scroll Bar Waterside Kitchen", "Sea Noodle Bar", "Sea Thai", "Sea Thai Bistro", "Sea noodle bar", "Senro", "Sent Sovi Restaurant", "Seoul Garden", "Sesame", "Sessions", "Seven Restaurant", "Shabu House", "Shakewell", "Shanghai Garden", "Sheba Piano", "Shido", "Shiki", "Shiki Bistro", "Shirasoni", "Shogun ", "Shree Indian Cuisine", "Shree Indian cuisine", "Shree indian Cuisine", "Shu's", "Siam Orchid", "Siam Palace", "Siam Royal Authentic Thai", "Siam Taste", "Siam orchid", "Siam taste", "Sichuan Fortune House", "Sidebar", "Sideshow", "Simply Fondue", "Sinaloa Cafe.", "Sino", "Sipan", "Sir and Star At The Olema", "Sitar Indian Cuisine", "Skates On The Bay", "Skipolini's Pizza", "Sociale", "Solano Grill and Bar", "Sole Mio Ristorante Italiano", "Soo Yuan Restaurant", "Soong Soong", "Sorella Caffe", "Spalti", "Spanishtown Mexican Restaurant", "Sparrow Bar", "Speakeasy", "Speisekammer", "Spencer's", "Spice Me Thai Cuisine", "Spice Thai Kitchen And Bar", "Stacks", "Stacks Redwood City", "Stacks Redwood city", "State Bird", "Station House", "Station House Cafe", "Steamer's Grillhouse", "Steelhead", "Stella Alpina Osteria", "Sticky Rice Chinese Bistro and Bar", "Stone Korean Kitchen", "Sukho", "Sultana Mediterranean", "Sumac", "Sumac Mediterranean Grill", "Summer Summer Thai Eatery", "Sumo", "Sumo Japanese Restaurant", "Sumo Sushi BOat", "Sumo Sushi Boat", "Suraj", "Sushi 29", "Sushi 85", "Sushi Hana", "Sushi Hashiri", "Sushi Heaven", "Sushi Hunter", "Sushi Ichimoto", "Sushi Island", "Sushi Kuu", "Sushi Momoyama", "Sushi Nara", "Sushi Omakase", "Sushi Rapture", "Sushi Tozai", "Sushi Tri", "Sushi Yoshizumi", "Sushi Zono", "Swad Indian Cuisine", "Swagat Indian Cuisine", "Ta", "Tabla Indian Restaurant", "Tachi", "Tachi Sushi Bar", "Taco Bell", "Taco bell", "Tacolicious", "Taheri's Mediterranean Restaurant and Catering", "Tai Pan", "Tai Wu Restaurant", "Tai Yuan", "Tamarine", "Tambo", "Tanchito's", "Tandoori Mahal", "Tao San Jin", "Tapas Tokki", "Taqueria Mi Durango", "Taqueria Y Carniceria Apatzingan 2", "Tara", "Tarla Mediterranean Bar + Grill Napa Valley Restaurant", "Tasso's", "Tasso's Old House Restaurant", "Taste Of Burma", "Taste Of India", "Taste Of The Himalayas", "Taste of Burma", "Taste of the Himalayas", "Taurinus Brazilian Steak House", "Taverna", "Taverna Bistro", "Tequila Grill", "Teriyaki House", "Terrain Cafe", "Teske's", "Texas Roadhouse", "Thai Chili", "Thai Delight Cuisine", "Thai Satay Restaurant and Bar", "Thai Spice", "Thai Tamarind Restaurant", "Thai Time", "Thanh Long", "Thanh Long Restaurant", "The Bureau 510", "The Cantina", "The Cask Wine Bar", "The Cats", "The City", "The Cooperage", "The Depot", "The Dorian", "The Englander Sports Pub and Restaurant", "The Fish Market", "The Girl and The Fig", "The Greedy Ant Gourmet", "The Grill", "The Grill At Meadowood", "The Grill At meadowood", "The Grill On The Alley", "The House", "The Lexington House", "The Melting Pot", "The Mexican Restaurant and Bar", "The Mexican restaurant", "The Mountain", "The Mountain House", "The Night Market", "The Old Spaghetti Factory", "The Park", "The Park Bistro and Bar", "The Pastaria and Market", "The Point Restaurant", "The Pullman", "The Pullman Kitchen", "The Q Restaurant and Bar", "The Rellik Tavern", "The Restaurant ", "The Saap Avenue", "The Sausage Factory", "The State Room", "The Striped Pig", "The Surf Spot", "The Taste Of Tea", "The Taste of Tea", "The Terrace Room Restaurant", "The Trident", "The Van's", "The View", "The Yellow Chilli By Chef Sanjeev Kapoor", "The sausage Factory", "Thep Lela Thai Restaurant", "There Sushi", "Three Brothers From China", "Tina's Place", "Tokyo Shabusushi Restaurant", "Tokyo Village Grill and Sushi", "Tomatina", "Tomi Thai", "Tommy's Wok Chinese Cuisine", "Tomodachi Sushi Bistro Restaurant", "Tonayan", "Tony and Alba's", "Top Of The Mark", "Top Thai Cuisine", "Top of The Mark", "Top of the Mark", "Townhouse", "Townhouse Bar and Grill", "Toyo", "Toyo Restaurant", "Trader Vic's", "Trancas", "Trattoria Contadina", "Tribu", "Triptych", "Troy Greek Cuisine", "Troya", "Truya", "Tsuru Sushi Japanese Restaurant", "Tuba", "Uma Casa", "Umami Burger Oakland", "Umi Sushi", "Uncle Buck's", "Uncle Yu's", "Union", "Up 2u", "Urban Curry", "Urban Tavern", "Val's", "Vallemar Station", "Vanessa's Bistro 2", "Vanessa's Bistro 2 Vietnamese Restaurant", "Vegetarian House", "Veggie Lee", "Venus Restaurant", "Villa D'este", "Villa Romano", "Village", "Vin Antico", "Vina Enoteca", "Volta Modern Brasserie", "Vung Tau Ii Restaurant", "Wakuriya", "Walia", "Waterdog Tavern", "Wence's", "West Park", "West Park Bistro", "Whipper Snapper Restaurant", "Wild Goat Bistro", "Wildfox", "Will", "Willi's", "Wine Cellar", "Won Kee", "Wooden Charcoal Barbecue", "World Gourmet", "Worth Ranch", "Xenia Bistro", "Xiao Loong", "Yanagi Sushi and Grill Dublin", "Yang Chow Restaurant", "Yank Sing", "Yayoi", "Yayoi Cupertino", "Yayoi Palo Alto", "Yayume", "Yayume Sushi", "Yellow Chilli", "Yet Wah Restaurant", "Yeti", "Yeti Restaurant", "Yi Yuan", "Yin Keng", "Yokohama", "Yoshio", "Yum Cha Palace", "Yum Squared", "Yum Yum", "Yushi", "Yuzu", "Zabu Zabu", "Zakuro", "Zaoh", "Zaytoon Mediterranean Restaurant and Bar", "Zio Fraedo's", "Zorba's Pizza", "a16", "aato", "acapulco", "agave uptown", "akane Japanese restaurant", "akane japanese restaurant", "akemi japanese restaurant", "akiko's Sushi Bar", "akiko's sushi bar", "ala romana", "alegrias", "alice's", "allegria", "amalfi", "amelie san francisco", "american kitchen", "august 1 five", "ayola", "baker street bistro", "bamboo restaurant", "banh thai restaurant", "barcino", "barracuda japanese restaurant", "basilico", "bazille", "bear republic brewing co", "bear republic brewing co.", "beer baron bar and kitchen", "beijing restaurant", "bennigan's", "berevino cucina and wine bar", "berkeley social club", "betty lou's seafood and grill", "binh minh quan", "bird dog", "bistro 29", "bistro vida", "black angus steakhouse", "blue mango", "bronze buddha", "buckeye roadhouse", "bud's pub and grill", "butterfly restaurant", "c'era una volta", "cafe ethiopia", "cafe eugene", "cafe pro bono", "calavera", "california cafe", "carnitas michoacan", "castle rock restaurant", "charlie Palmer Steak Napa", "chef chao restaurant", "chevys fresh mex", "chez Panisse", "chili's grill and bar", "china delight", "china village restaurant", "chuck e. cheese's", "coconut bay thai restaurant", "comal", "creasian", "crouching tiger restaurant", "cut the crab", "daily grill", "dan izakaya restaurant", "darbar Indian cuisine", "dicicco's ristorante italiano autentico", "dickey's Barbecue Pit", "donato enoteca", "downtown joe's", "dynasty", "eiko's", "elephant bar restaurant", "emil villa's hickory pit", "everest kitchen", "fattoria e mare", "first street alehouse", "fork roadhouse", "fradelizio's ristorante", "gan restaurant", "gaspare's pizzeria ristorante", "gio's pizza", "giorgio's italian food and pizzeria", "hakkasan", "haku sushi", "hisui ", "honey cuisine", "hop creek pub", "hopscotch", "hunan chili", "india beach", "italian affair", "izzy's san carlos", "jannah", "jasmine chinese cuisine", "kabul afghan cuisine", "kafal restaurant", "kirin restaurant", "la pinata", "la traviata", "lanna thai restaurant", "le petit", "left bank larkspur brasserie", "little shanghai", "locanda ravello", "los Yaquis", "los yaquis", "manresa", "marnee", "mcdonald's", "mei don chinese cuisine", "melo's pizza and pasta livermore", "meritage martini oyster bar and grille", "mimi's cafe", "mountain mike's pizza", "mourad", "napoli pizza", "olive garden italian restaurant", "oriental kitchen japanese restaurant", "osha", "panera bread", "pappo", "paradise biryani pointe", "piazza d'angelo", "picaro", "priya", "pupuseria y restaurant el aguila", "ristorante la toscana", "royal thai", "rubio's", "shang hai kitchen", "simply fondue", "sinaloa Cafe", "spoonbar", "sushi to dai for", "taste of the himalayas", "thanh long", "the Alembic", "the Cats", "the Q Restaurant and Bar", "the mountain House", "the terrace room restaurant", "umami burger palo alto", "vegetarian house", "village", "wah shine", "yangon" ] }, "serves_alcohol": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the restaurant serves alcohol", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "street_address": { "dataset_names": [ "sgd" ], "description": "Address of the restaurant", "possible_values": [ "?" ] }, "time": { "dataset_names": [ "sgd", "sgd" ], "description": "Time for the reservation or to find availability", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] } }, "ridesharing": { "approximate_ride_duration": { "dataset_names": [ "sgd" ], "description": "Approximate duration of ride to the destination", "possible_values": [ "none", "do not care", "1", "10 or more", "2", "3", "4", "5", "6", "7", "8", "9", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "destination": { "dataset_names": [ "sgd", "sgd" ], "description": "Destination for taxi ride", "possible_values": [ "none", "do not care", "(between 2nd and 3rd Ave)", "1 Alamo Square Drive", "1 Baywood Ave # 6", "1 Broadway", "1 Embarcadero Center", "1 Embarcadero center", "1 Kearny Street", "1 Letterman Drive", "1 Quality Drive", "1 Tennis Place Forest Hills", "1, 2380 sutter street", "10 Milland Drive", "10 Woodland Road", "100 Devon Avenue", "100 Ellinwood Drive", "100 Grand Avenue #111", "100 Kings Circle", "100 North Wiget Lane", "100 Park Boulevard", "100 Seawall Drive", "100 Smith Ranch Road", "100 Van Ness Avenue", "100 Washington Street", "1000 Blossom River Way", "1000 Claudia Court", "1000 Embarcadero", "1000 Kiely Boulevard", "10000 Sir Francis Drake Boulevard", "1001 Beethoven Common", "1008 Blossom Hill Road", "10095 Saich Way #2", "101 Brentwood Drive", "101 Gregory Lane", "101 Parrott Street", "101 South Front Street # 1", "101 South san Mateo Drive #306", "1010 Great Mall Drive", "1010 Laurel Street", "1010 Power Avenue", "10101 North Wolfe Road", "1012 Oak Grove Avenue", "1016 Santa Rosa Plaza", "1017 H Street", "102 castro street", "10211 South De Anza Boulevard", "1027 Airport Boulevard", "1027 Oliver Road", "1027 oliver road", "103 California 1", "1030 Main Street #205", "104 Lynch Creek Way", "1040 Grant Road #103", "1041 middlefield road", "1045 North Armando Street", "1047 Lincoln Highway Suite 101", "1047 Lincoln Highway suite 101", "105 North Cloverdale Boulevard", "10544 San Pablo Avenue", "1055 East Evelyn Avenue", "1057 El Monte Avenue Suite D", "1059 Reed Avenue", "1059 reed avenue", "1062 Kiely Boulevard", "1065 Holly Street D", "1069 B Street", "1071 B Street", "1085 West El Camino Real Level 2", "109 PLaza Dr. Gateway plaza Center", "109 Plaza Dr. Gateway Plaza Center", "109 plaza dr. gateway plaza center", "10944 San Pablo Avenue # 800", "110 Bailey road", "110 West Spain Street", "1100 Foster Square Lane #150", "1100 Market Street", "1100 Trancas Street #350", "1101 South Winchester Boulevard # I202", "11030 Bollinger Canyon Road #250", "1107 Howard Avenue", "1107 Porter Street", "111 Seminary Drive", "111 South Murphy Avenue", "1111 Meridian Avenue Ste 5", "1115 Solano Avenue", "1115 solano avenue", "1118 4th Street", "1118 East Pike Street", "1130 4th Street", "1133 Solano Avenue", "1136 Broadway", "115 Hartz avenue", "1150 Solano Avenue", "1150 Veterans Boulevard", "1150 Webster street", "1165 Merrill Street", "1165 merrill Street", "1174 Castro Street # 100", "1178 El Camino Real", "118 New Montgomery Street", "1181 Boulevard Way B", "1188 El Camino Real 4th Floor", "1188 El camino real 4th floor", "1200 Callowhill Street", "1200 Central Boulevard suite d", "1200 D Street #27", "1200 Grant Avenue", "1200 east hillsdale boulevard", "1201 Locust Street", "1201 San Carlos Avenue", "12019 Saratoga Sunnyvale Road", "1202 West Steele Lane", "121 East 1st Street", "12108 Saratoga Sunnyvale Road", "1211 Franklin Mall", "1216 South Abel Street", "122 La Casa Via", "1220 North Bascom Avenue", "12221 San Pablo Avenue", "123 Kearny Street", "1234 West 7th Street", "1241 Arnold Drive", "125 Crescent Drive", "125 crescent Drive", "1259 Polk Street", "1261 Folsom Street", "1264 Mendocino Avenue", "1265 Monument Boulevard", "127 Clement Street", "127 North McDowell Boulevard", "1270 Linford Lane", "1275 Central Boulevard", "128 Plaza Street", "1282 Mattox Road", "1282 Mattox road", "1288 East Hillsdale Boulevard", "129 Ellis Street", "129 Lytton Avenue", "1290 San Tomas Aquino Road", "12th Avenue Arts", "1300 Fillmore Street", "1300 Galaxy Way # 13", "1300 Kentwood Lane", "1300 Kentwood lane", "1300 South Main Street", "1300 University Drive # 5", "1300 University Drive # 6", "1301 Ralston Avenue # C", "1301 Southpoint Boulevard", "1306 Lincoln Avenue", "131 west a street", "1316 El Camino Real", "1320 El Camino Real", "1327 East Monte Vista Avenue", "133 North Temple Drive", "133 South Murphy Avenue", "1330 Stoneridge Mall Road", "1331 Medical Center Drive", "1333 North California Boulevard", "1335 Montecito Avenue # 1", "1335 Solano Avenue", "1339 Jacklin Road", "134 Castro Street", "134 North Cloverdale Boulevard", "134 North Cloverdale boulevard", "1347 Main Street", "135 4th Street Suite 3000", "135 Acalanes Drive", "135 Freeway Drive", "135 Freeway drive", "1350 East Monte Vista Avenue", "1355 Lincoln Avenue", "136 North San Mateo Drive #101", "1367 North McDowell Boulevard", "1367 North McDowell Boulevard #110", "13670 Arnold Drive", "1388 Locust Street", "139 Petaluma Boulevard North B", "1391 Woodside Road #200", "13949 Doolittle Drive", "140 2nd Street #100", "140 HOmer Avenue", "140 Homer Avenue", "140 Mayhew Way # 702", "140 New Montgomery Street #1", "140 North Civic Drive", "140 new montgomery street #1", "1400 A Street", "1400 California 1", "1400 North Dutton Avenue #6", "141 Golf Club Road", "1416 First Street", "1419 Moraga Way", "1420 Market Street", "1422 Southwest 11th Avenue", "1425 Oregon Street", "1426 Fillmore Street", "1429 San Mateo Avenue", "1435 Creekside Drive", "1440 Military West # 101", "1441 Casa Buena Drive", "1441 Polk Street", "14480 Big Basin Way", "1450 Creekside Drive", "1450 East Cotati Avenue", "1450 east cotati avenue", "1457 Lincoln Avenue", "14583 Big Basin Way # 2A", "1460 Halford Avenue", "1475 167th Avenue", "1479 Ygnacio Valley Road", "1480 First St Napa, Ca 94559", "1483 Solano Avenue", "14911 National Avenue #5", "1495 Don Avenue", "150 Graylawn Avenue", "150 Muir Rd", "150 Muir Road", "150 Sierra Drive", "1500 North Shoreline Boulevard", "1500 Oliver Road", "1501 3rd street", "1501 Decoto Road", "1501 Solano Avenue", "1501 Tara Hills Drive", "1501 Trousdale Drive #2", "1503 15th Street", "15055 Los Gatos Boulevard", "15099 A Hesperian Boulevard", "1512 Locust Street", "1515 Novato Boulevard # 29", "1517 21st Street", "1518 Park Street", "1518 hill road", "1520 Lakeside Drive", "1525 Webster Street # C", "15267 Hesperian Boulevard", "1532 20th Street", "1532 20th street", "1538 Third Ave, East 86th Street", "1543 Ambergrove Drive", "1546 Maurice Lane", "15475 Los Gatos Boulevard", "1549 Gateway Boulevard", "1550 A Professional Drive #100", "1550 Valley Glen Drive", "15501 San Pablo Ave", "15555 EAst 14th street", "15555 East 14th Street", "15555 East 14th street", "15555 east 14th street", "156 Castro Street", "1560 Fillmore Street", "1580 Clayton Road # 1", "1580 East Washington Street # 107", "1580 Valencia Street #508", "1581 Webster Street", "1585 Casa Buena Drive", "1585 Marburg Way # 4", "1595 Sunnyvale Avenue #1", "1599 Hopkins Street", "1599 Sanchez Street", "1599 sanchez street", "16 Mint Plaza", "16 mint plaza", "160 Jefferson Street", "160 Saratoga Ave # 280", "160 South Murphy Avenue A", "160 south Murphy Avenue A", "1600 Buchanan Road", "1600 West Campbell Avenue #202", "1603", "1606 North Main Street", "16077 Ashland Avenue", "16105 Monterey Road", "16130 Juan Hernandez Drive #108", "1615 Hill Road", "1615 Russell Street # 101A", "1618 sullivan avenue suite 105", "16201 Hesperian Boulevard", "1621 Travis Boulevard #300", "1622 Palm Avenue", "1625 Tully Road ste a", "1631 Lincoln Avenue", "1633 Marina Court", "1637 Lincoln Avenue", "1639 North California Boulevard", "1646 Broadway Street", "165 west napa street", "16530 Monterey Road", "1662 Lombard Street", "1671 Willow Pass Road", "168 South Murphy Avenue", "1688 Clayton Road", "1691 Monument Boulevard", "1698 Bonanza Street", "17 eastern parkway, brooklyn", "1700 Laguna Street", "17007 Redwood Road", "1701 Divisadero Street", "1707 Webster Street", "1707 Webster street", "1711 Detroit Avenue", "1711 El Camino Real", "1717 California Drive", "172 South Market Street", "1720 El Camino Real # 120", "1721 East Bayshore Road", "1722 Sacramento Street", "1722 first Street", "1722 first street", "17251 Hesperian Boulevard", "1734 El Camino Real", "1737 Santa Rita Road #200", "1737 post street", "1740 South Winchester Boulevard", "175 North Jackson Avenue #200", "175 Sutter Street", "17500 Depot Street #180", "1754 Polk Street", "1760 Polk Street", "1760 polk street", "17705 Hale Ave # E3", "17705 Hale Avenue A 5", "17705 Hale Avenue Ste. B3", "1771 Inner Circle Drive", "1775 Park Avenue", "1776 First Street", "1785 San Carlos Ave # 3", "1785 San Carlos Avenue #2b", "18 Clark Avenue", "180 El Camino Real", "180 Hamilton Avenue", "180 Sycamore Avenue", "1800 Fillmore Street", "1801 Alemany Boulevard", "1814 North Dutton Avenue # 25", "1815 Market Street", "1820 Ogden Avenue Floor, 2", "1825 Sutter Street #C", "1830 Fourth Street", "18300 Carriage Drive", "1845 Willow Pass Road", "18478 Prospect Road", "1849 Union Street", "185 Estancia Drive", "1850 El Camino Real", "1850 Sullivan Avenue Suite 550", "18615 California 12", "1875 South Bascom Avenue", "1875 South Bascom Avenue #2500", "1875 South Bascom Avenue #550", "1880 Solano Avenue", "1881 Contra Costa Boulevard", "1888 Solano Avenue", "19 Panorama Drive", "1900 Esplanade Drive", "1900 Mowry Avenue Suite 101", "1900 University Ave #105", "1901 Junipero Serra Boulevard", "1901 Mendocino Avenue", "1901 Salvio Street", "1901 Shore Line Drive", "1919 Davis Street", "1920 Irving Street", "19217 Sonoma Highway", "19369 Stevens Creek Boulevard Suite 130", "194 Castro Street", "194 castro street", "1943 West El Camino Real", "196 Wikiup Drive", "19655 stevens creek boulevard", "1971 San Pablo Avenue", "1975 Diamond Boulevard Ste. C 160", "199 Aegean Way", "199 Seawall Drive", "2, 3200 Kearney Street", "20 Stone Pine Road", "200 Bolinas Road # 62", "200 C Street", "200 C street", "200 Greenbriar Circle", "200 Jose Figueres Avenue #240", "200 Presidio Lane", "2000 Appian Way #202", "2000 Clay Bank Road", "2000 Shoreline Loop", "2000 clay bank road", "2001 Chestnut Street", "2005 San Jose Drive", "201 El Camino Real", "201 Harrison Street", "201 vineyard town ctr", "2020 Forest Ave # 8", "2020 West El Camino Real", "2025 Gellert Boulevard #200", "2033 Camden Avenue # F3", "2035 Diamond Boulevard", "20400 Lake Chabot Road #202", "2042 University Avenue", "2042 university avenue", "2047 North Milwaukee Avenue", "2047 north milwaukee avenue", "2050 Broadway", "2052 Wilkins Avenue", "2053 Broadway", "2055 Fox Way", "20632 Redwood Road # A", "20667 Forge Way", "20686 Homestead Road", "20700 Lake Chabot Road", "20735 Stevens Creek Boulevard Ste F", "2074 Forest Avenue # 1", "2083 Camden Avenue", "2094 El Camino Real", "210 Easy Street", "210 San Mateo Road # 104", "2100 Avy Avenue", "2100 Franklin Street", "2100 Monument Boulevard #8", "2100 Peabody Road", "2100 Webster Street #214", "2100 Webster Street Suite 214", "2100 Webster Street Suite 411", "2100 Webster Street suite 214", "21001 San Ramon Valley Boulevard Ste E 3", "21001 san ramon valley boulevard", "2101 Camino Ramon #100", "2101 Forest Avenue #124", "2105 West Pueblo Avenue", "211 Quarry Road", "211 Quarry Road #107", "211 San Mateo Road", "211 quarry road", "2110 Forest Avenue Suite b", "2111 El Camino Real", "2111 Whitehall Place", "2116 Shattuck Avenue", "2121 San Pablo Avenue", "2125 Coast Hwy", "2130 Ascot Drive", "2130 Center Street", "2135 Franklin Street", "2142 Chestnut Street", "2143 Springs Road # 51", "2149 Chestnut Street", "2149 Otis Drive", "2150 Chestnut Street", "216 Northgate One", "2184 Union Street", "2185 Eastridge Loop", "2190 Eastridge Loop", "22 Belden Place", "2203 Morello Avenue", "221 University Avenue", "221 university avenue", "22101 Redwood Road", "22101 Redwood road", "2211 Parkside Drive", "2217 Market Street", "2219 Buchanan Road #6", "2219 buchanan road #6", "222 Great Mall Drive", "2222 Bancroft Way", "2225 Sharon Road", "2225 Sharon road", "2229 Clement Street", "2241 First Street", "2244 fillmore street", "2250 Hayes Street", "2256 Monument Blvd", "226 Edelen Avenue", "2260 Palm Avenue", "2290 California Street", "2293 Mission Street", "2301 Camino Ramon", "2301 Rumrill Boulevard # 28", "2305 camino ramon suite 100", "2306 Almaden Road", "2316 Dwight Way", "2317 Central Avenue", "2317 South El Camino Real", "2317 central avenue", "2320 Central Avenue", "2320 central avenue", "2327 Blanding Avenue STE D", "2327 Mission Street", "2327 Polk Street", "2327 Shattuck Avenue", "233 West Main Avenue", "2331 El Camino Real", "2340 Chestnut Street", "235 Camelback Road", "235 West 46th Street", "2355 Chestnut Street", "2355 Fairfield Avenue", "2355 Sand Creek Road", "2360 South Bascom Avenue", "2362 Market Street", "2365 Chestnut Street", "2367 El Camino Real", "2368 Junipero Serra Boulevard", "2377 Shattuck Avenue", "2380 Sutter Street", "24 Sunnyside Avenue", "240 Castro Street", "240 Hollis Avenue", "240 Kottinger Drive", "240 La Casa Via #100", "2400 Samaritan Drive #105", "2400 Shady Willow Lane", "2405 Larkspur Landing Circle", "241 fremont hub courtyard", "2425 California Street # C", "2434 Almaden Road", "2435 Webster Street #101", "244 Jackson Street", "2449 Sacramento Street", "2452 Watson Court", "2455 Bennett Valley Road", "2455 bennett valley road", "2455 bennett valley road # B208", "24660 Amador Street", "247 4th Street", "2470 Skyline Boulevard", "2481 San Ramon Valley Boulevard", "2485 De La Cruz Boulevard", "2485 High School Street #111", "24891 Santa Clara Street", "2490 First Street", "2490 First street", "2490 hospital drive #111", "2492 Channing Way", "25 Broadway", "25 Lusk Street", "25 Throckmorton Avenue", "250 Bel Marin Keys Boulevard", "250 Bel Marin Keys Boulevard # C5", "2500 Alhambra Avenue", "2500 Deer Valley Road", "2500 Durant Ave", "2500 Grant Road", "2500 Hospital Dr # 5D", "2500 Milvia Street", "2500 alhambra Avenue", "2500 alhambra avenue", "2501 Winchester Boulevard", "2505 Samaritan Drive", "2505 Samaritan Drive Suite 510", "2508", "2508 Santa Clara Avenue", "2508 Santa clara Avenue", "2509 Broadway", "2509 South Bascom Avenue", "251 Geary Street", "251 Llewellyn Avenue", "2510 Shattuck Avenue", "25100 Cypress Avenue", "2516 Samaritan Drive", "25173 Cypress Avenue", "25200 Carlos Bee Boulevard", "2525 Sand Creek Road", "2550 El Camino Real", "2550 Mission Street", "2550 South King Road", "2551 San Ramon Valley Boulevard #104", "2564 Springs Road ste B", "257 Grand Avenue", "2574 San Bruno Avenue", "2575 California Street #90", "2575 Sir Francis Drake Boulevard # 20", "2577 Samaritan Drive Suite 740", "2585 Samaritan Drive", "2589 mission street", "2593 south king road", "260 SOuth Abel Street", "260 South Abel Street", "2605 Haste Street", "2608 Ocean Avenue", "261 North 2nd Street", "26100 Gading Road", "2621 Shadelands Drive", "2625 South King Road", "2646 ashby avenue", "2664 Berryessa Road # 206", "2664 Berryessa Road # 212", "2664 Berryessa Road #104", "2672 Bayshore Parkway # 611", "26955 California 1", "2700 Grant Street #104", "2700 Grant Street Suite 200", "2700 International Boulevard # 35", "2702 Low Court", "2725 Mendocino Avenue", "2731 Geneva Avenue", "2737 20th Street", "275 Hawthorne Avenue", "2752 Augustine Drive #110", "2758 Old Sonoma Road", "2760 McKee Road", "2792 Pinole Valley Road", "2800 California Street #101", "283 North P Street", "2855 Stevens Creek Boulevard Suite 2160", "286 Coddingtown Center", "288 South 2nd Street", "29 East Allen Street 2nd Floor", "29 East Main Street", "29 east allen street 2nd floor", "290 Ioof Avenue", "2900 Redwood Parkway", "2901 East Hastings Street", "291 30th Street", "293 Shasta Drive", "2936 College Avenue", "2950 Whipple Avenue", "296 Barber Court", "2960 North Shoreline Boulevard", "2961 East El Camino Real", "2961 summit street", "29615 Mission Boulevard", "296A Addison Street", "298 Gough Street", "30 South B Street", "30 St Mary Axe (THe Gherkin)", "30 St Mary Axe (The Gherkin)", "30 st mary axe (the gherkin)", "300 El Camino Real", "300 Hilary Way", "3001 El Camino Real", "301 Country View Lane # A", "301 Industrial Road", "301 Industrial Road Level 3", "301 Los Gatos Saratoga Road", "301 Old San Francisco Road Level 2", "301 Sycamore Valley Road", "302 Easy Street", "3051 Alma Street", "3082 Marlow Road", "3090 Olsen Drive", "31 University Avenue", "310 Sutter Street 4th Floor", "3100 San Pablo Avenue Suite 310", "3100 Telegraph Avenue # 2109", "31014 Union City Boulevard", "3111 Mission College Boulevard", "3111 mission College Boulevard", "3111 mission college boulevard", "3113 Stevenson Boulevard", "3117 16th ST", "3117 16th St", "3117 16th st", "3119 Clement Street", "3120 16th street", "3127 Fillmore Street", "3127 Fillmore street", "3133 Frontera Way", "3136 Contra Loma Boulevard", "314 Mendocino Avenue", "3141 Crow Canyon Place", "316 11th street", "316 North Santa Cruz Avenue", "31755 Alvarado Boulevard", "318 Diablo Rd # 245", "318 columbus avenue", "3195 North Main Street", "3200 Kearney Street Bldg 1", "3200 Klose Way", "3200 Mowry Avenue # G", "3205 Northwood Drive", "321 Middlefield Road", "321 Middlefield Road # 245", "32100 Union Landing Boulevard", "3216 Mission Street", "3221 South White Road", "3225 Harbor Street", "3236 Grand Avenue", "326 University avenue", "3268 Grand Avenue", "327 North San Mateo Drive Suite 7", "3284 El Camino Real", "329 Primrose Road", "329 Tennessee Street", "3290 Sacramento Street", "33 South Central Avenue", "3300 Webster Street", "331 West Hacienda Avenue", "3329 Claremont Court", "333 Enfrente Road", "333 South Park Plaza Drive", "33300 Mission Boulevard", "3339 Steiner Street", "3339 Walnut Avenue", "334 California Avenue", "336 North Santa Cruz Avenue", "336 Saint Mary Street", "337 Biscayne Drive", "337 East Leland Road", "337 North Santa Cruz Avenue", "338 12th street", "338 University Avenue", "340 Healdsburg Avenue", "3400 Richmond Parkway", "34050 Westchester Terrace", "3410 Stevens Creek Boulevard #101", "3425 South Bascom Avenue #235", "343 Gellert Boulevard # C", "343 Rheem Boulevard", "344 East Hamilton Avenue", "3440 Hillcrest Avenue Suite 150", "34420 Fremont Boulevard", "3455 Homestead Road", "3466 Mount Diablo Boulevard Suite C 104", "3468 Mount Diablo Boulevard", "3468 Mount Diablo Boulevard B301", "347 Geary Street", "3478 Camino Tassajara Ste B", "350 Park Street", "350 park street", "3500 Pennsylvania Avenue # 101", "351 west washington avenue", "3511 School Street", "3515 20th Street A", "35192 Newark Boulevard", "3524 Mount Diablo Boulevard", "353 Columbus Avenue", "3536 Mendocino Avenue #380", "3540 Blackhawk Plaza Circle", "355 Lennon Lane Suite 255", "355 Santana Row #1060", "3553 Whipple Road", "35750 Bettencourt Street # 86", "360 CHICAGO", "360 Chicago", "360 chicago", "36163 Fremont Boulevard", "3630 Balboa Street", "3630 Hillcap Avenue", "36456 Fremont Boulevard", "3685 Mount Diablo Boulevard #100", "373 Main Street", "3737 Lone Tree Way # A", "3740 El Camino Real", "3741 Sunset Lane # A", "37485 Fremont Boulevard B", "375 40th Street", "375 Oaktree Drive", "377 13th Street", "37811 Fremont Boulevard", "3782 Bohemian Highway", "379 Gellert Boulevard", "380 tesconi court", "381 South Van Ness Avenue", "3819 East Avenue", "3820 Park Boulevard", "383 1st Street", "383 Miller Avenue", "3830 Stevens Creek Boulevard", "3838 California Street #601", "3850 Grand Avenue", "388 Grand Avenue", "3883 Vista Oaks Drive", "39145 Farwell Drive", "39277 Cedar Boulevard", "3945 24th Street", "3945 24th street", "395 Ano Nuevo Avenue", "39650 Liberty Street #310", "3977 17th Street", "399 grove street", "39900 Blacow Road", "3D Toronto Sign", "3D Toronto sign", "3D toronto sign", "4 Embarcadero Center", "4, Tower Support Bldg, 1150 Veterans Boulevard", "4, tower Support Bldg, 1150 Veterans Boulevard", "40 Millwood Street", "40 Valle Vista Avenue", "400 29th Street #315", "400 East Remington Drive", "400 Moffett Boulevard", "400 Newpark Mall", "400 east Remington drive", "400 east remington drive", "40001 Fremont Boulevard", "40001 fremont boulevard", "401 Alberto Way #1", "401 Sherwood drive", "401 West Van Buren Street", "401 bicentennial way", "403 Healdsburg Avenue", "4038 Judah Street", "4058 18th Street A", "406 Dewey Boulevard", "40640 High Street", "4067 Transport Street b", "4085 Century Boulevard", "4087 Peralta Boulevard", "409 Aviation Boulevard", "40900 Fremont Boulevard", "4095 Century Boulevard", "4100 Dyer Street", "411 East El Camino Real", "411 Main Street", "4115 El Camino Real", "4119 El Camino Real", "4141 Stevenson Boulevard", "415 Center Street", "416 Boynton Avenue", "4175 Blackhawk Plaza Circle", "4175, 42151 Blacow Road", "42 Charles Street", "420 Market Place", "4200 Bay Street", "42010 Blacow Road", "4204 Lone Tree Way", "421 Cypress Avenue", "421 b March Avenue", "4230 San Pablo Dam Road # B16", "4230 San Pablo Dam road # B16", "4239 Park Boulevard", "425 Main Street", "425 avenue alhambra", "426 Brannan Street", "426 Emily Rose Circle", "4261 Stevenson Boulevard", "4275 First Street", "42808 Christy Street #208", "4287 Piedmont Avenue", "4288 Dublin Boulevard #101 102", "4288 Dublin Boulevard #110", "43 North Santa Cruz Avenue", "430 East Calaveras Boulevard", "4300 Great America Parkway #156", "431 Bush Street", "4330 Clayton Road suite j", "4340 Redwood Highway Suite A 22", "4342 California Street", "43635 Boscell Road", "43917 Pacific Commons BOulevard", "43917 Pacific Commons Boulevard", "44 Montgomery Street #30", "44 Rowland Way", "4400 Central Place", "4450 San Pablo Dam Road", "4451", "45 Camino Alto #106", "45 Castro Street", "45 Quail Court # 200", "45 San Clemente Drive b200", "4501 Rosewood Drive", "451 Queensbridge Road", "452 East Calaveras Boulevard", "452 university avenue", "453 Fleming Avenue East", "4546 El Camino Real", "455 Grand Avenue", "455 Oconnor Drive #210", "458 B Street", "4580 Dublin Boulevard", "46 Wharf Road", "460 34th Street", "460 San Mateo Avenue", "461 2nd Street", "462 Santa Clara Avenue", "4646 El Camino Real", "4655 Hoen Avenue", "4655 Hoen Avenue # 7", "4656 Quigg Drive", "4680 Tassajara Road", "470 49th Street B", "471 Haight Street", "474 24th Street", "4748 West Campbell Avenue", "475 East Strawberry Drive", "475 Entrada Drive", "4757 Snyder Lane", "4776 Sonoma Highway", "4812, 1144 Sonoma Avenue", "485 Castro Street", "4869 Telegraph Avenue", "4902 Clayton Road", "4906 Paseo Padre Parkway", "4906 West El Camino Real # A", "491 30th Street #103", "491 30th Street #201", "4940 Dublin Boulevard", "498 14th Street", "498 14th street", "5 Bon Air Rd # 114", "5 Main Street", "5 main street", "50 East Hamilton Avenue #120", "50 Moraga Avenue", "50 Upper Alabama Street", "500 Alfred Nobel Drive #245", "500 Brannan Street", "500 Doyle Park Drive #200", "500 Larkspur Landing Circle", "500 Precita Avenue", "500 San Pablo Avenue #300", "500 precita Avenue", "500 san pablo avenue", "5000 Hartnett Avenue", "5000 Owens Drive", "5000 Roberts Lake Road", "5005 Montoya Avenue", "501 BUckingham Way", "501 Buckingham Way", "503 West San Carlos Street", "504 Center Street", "504 center street", "5041 Geary Boulevard", "505 West Olive Avenue", "5050 West El Camino Real # 110", "5050 west el camino real # 110", "507 Magnolia Avenue", "510 San Anselmo Avenue", "5100 Vista Grande Dr", "5102 Dowdell Avenue", "512 Sacramento Street", "5121 Dowdell Avenue", "5133", "518 7th Street", "520 8th Ave. Personal Valet Parking", "520 Montgomery Street M02", "520 Van Buren Avenue", "5200 Mowry Avenue Ste M", "523 west 10th street", "5231 College Avenue", "524 Van Ness Avenue", "5251 Martinelli Way", "5255 Clayton Road", "528 7th Street", "530 Carter Street", "5305 almaden expressway", "531 Davis STreet", "531 Davis Street", "534 B Street", "534 Irving Street", "535 miller avenue", "5371 Mowry Avenue", "54 37th Avenue", "540 El Camino Real", "5401 Norris Canyon Road", "542 A Mason Street", "542 A Mason street", "542 A mason street", "5425 Snyder Lane", "543 Coleman Avenue", "5434 Ygnacio Valley Road #90", "544 Central Avenue", "5446 Ygnacio Valley Road", "5446 Ygnacio valley Road", "545 San Antonio Road Suite 31", "548 Ramona Street", "549 Magnolia Avenue", "5498 College Avenue", "55 Fairfax Street #27", "550 Hamilton Avenue # 329", "5508 Monterey Road", "5508 Monterey road", "551 Summerfield Road", "555 Center Avenue", "555 East El Camino Real", "555 Knowles Drive Suite 109", "5560 santa teresa boulevard", "5565 West Las Positas Boulevard", "5575 West Las Positas Boulevard", "558 bridgeway", "56 Signers of the Declaration of Independence Memorial", "56 Signers of the declaration of Independence Memorial", "56 signers of the Declaration of Independence Memorial", "56 signers of the declaration of independence memorial", "560 Divisadero Street", "560 Waverley Street", "5601 Deer Valley Road", "5614 Bay Street Suite 220", "5643 Charlotte Way", "565 University Avenue", "5720 Mowry School Road", "575 East Remington Drive", "5755 Cottle ROad # 4", "5755 Cottle Road # 4", "5800 Hollis Street", "5801 Norris Canyon Road #200", "5813 Cottle Road", "5813 cottle road", "5855 Doyle Street #110", "5860 Owens Drive Suite 210", "5900 College Avenue", "591 Redwood Highway # 2235", "5988 Newpark Mall Road", "599 Railroad Avenue", "599 Tomales Road", "6 Petaluma Boulevard North", "60 East 3rd Avenue", "600 East Washington Street", "600 East Washington street", "600 Nut Tree Road #260", "600 Ralston Avenue", "600 Redwood Highway", "6000 Bollinger Canyon Road Suite 2300", "6000 bollinger canyon road suite 2300", "6004 Stevenson Boulevard", "601 River Glen Drive", "601 Van Ness Avenue", "601 van ness avenue", "604 East Evelyn Avenue", "605 Cowper Street", "61 Washington Street", "6100 Telegraph Avenue", "611 Enterprise Drive", "611 east 18th street", "613 Cabot Way", "6155 Stoneridge Drive #150", "620 3rd Street", "620 3rd street", "6221 Montecito Boulevard", "6225 Jarvis Avenue", "624 Avalon Avenue", "6247 College Avenue", "6247 college avenue", "629 Union Street", "630 Drake Avenue", "630 Park Court", "630 Tempe Court", "632 Mowry Avenue", "638 El Camino Real", "640 Hegenberger Road", "642 1st Street", "642 Ramona Street", "643 Emerson Street", "6430 Telegraph Avenue", "6469 Redwood Drive", "6493 Portola Drive", "655 Redwood Highway Suite 100", "655 Redwood highway Suite 100", "655 South Fair Oaks Avenue", "6566 Front Street", "658 Market Street", "659 Merchant Street", "660 Gail Avenue", "680 8th Street Ste. 170", "680 South 37th Street", "6800 Palm Avenue", "6811 Mission Street", "6868 McKinley Street", "6868 mckinley street", "689 East Remington Drive Ste A", "69 North San Pedro Street", "6935 Camino Arroyo", "6935 camino arroyo", "6950 santa teresa boulevard", "698 Post Street", "699 Gravenstein Highway North", "700 El Paseo De Saratoga", "700 El Paseo de Saratoga", "700 West Parr Avenue", "701 E El Camino Real 2nd Floor", "707 Continental Circle", "71 North San Pedro Street", "710 Florida Street", "711 Geary Street", "716 Magnolia Avenue", "7163 Rich Avenue", "717 East El Camino Real #4", "7200 BAncroft Ave # 125C", "7200 Bancroft Ave # 125C", "7200 Bancroft Avenue", "7233 Healdsburg Avenue", "725 Camino Plaza", "726 Clement Street", "727 Laurel Street", "73 North Keeble Avenue", "732 East Evelyn Avenue", "740 East El Camino Real", "7425 Camino Colegio # 61", "750 Brahms Way", "750 North King Road", "750 Tennant Station", "754 The Alameda #10", "757 1st Street", "7601 Stoneridge Drive", "765 MAIN STREET HALF", "766 1st Street", "769 Center Boulevard #124", "770 9th Avenue", "770 San Ramon Valley Boulevard", "7788 dublin boulevard", "78 Mission Drive Suite A", "782 Haight Street", "788 Laurel Street", "7880 Wren Ave", "7880 Wren Avenue", "790 Oak Grove Road", "795 El Camino Real", "795 El Camino Real Jamplis Building, Level 1", "795 Willow Road #321", "8 Sushi", "80 Nicholl Avenue", "80 Senter Road", "80 West El Camino Real", "800 Pollard Road # B201", "800 Pollard Road bldg a", "8000 El Cerrito Plaza", "801 Marine Parkway", "801 brewster avenue #240", "808 Geary Street", "815 Ulloa Street", "820 East DUnne Avenue Ste 170", "820 East El Camino Real", "825 Middlefield Road", "825 Russell Avenue", "8339 Church Street", "8339 Church Street # 212", "8339 Church street", "835 Market Street", "836 Alturas Avenue # 7", "84 Ranch Drive", "845 El Camino Real", "845 Main Street", "845 Market Street #402", "85 Santa Rosa Avenue", "85 West Portal Avenue", "851 Cherry Avenue # 36", "855 East Tabor Avenue", "859 University Avenue", "866 campus drive", "87 East San Fernando Street", "87 Fenton Street Suite 210", "877 West Fremont Avenue # K2", "877 West Fremont Avenue C 2", "877 West Fremont Avenue unit n1", "882 Emerson Street", "8833 monterey road", "884 Portola Road A1", "899 North King Road", "899 North king road", "899 Sir Francis Drake Boulevard", "9/11 Tribute Museum", "900 143rd Avenue", "900 Blake Wilbur Drive 1st Floor", "900 Cambridge Drive", "900 Pepper Tree Lane", "901 Cole Street", "9025 Old Redwood Highway D", "909 Hyde Street #530", "909 San Ramon Valley Boulevard #114", "91 Riverview Terrace", "910 Lincoln Rd E", "920 El Camino Real", "925 Blossom Hill Road Suite 2000", "9260 Alcosta Boulevard", "92nd Street Y", "92nd street Y", "92nd street y", "930 Admiral Callaghan Lane", "935 Trancas Street", "935 trancas street", "9360 North Name Uno", "941 Kearny Street", "94109. parking entry on Hyde St 1199 Bush Street Suite 500", "947 Branham Lane # C", "949 El Camino Real", "949 El camino real", "949 Geneva Avenue", "949 el camino real", "950 Podva Road", "9501 Duvander Lane", "951 Pomona Avenue", "955 Escalon Avenue", "961 Bluebell Drive", "975 Sereno Drive", "975 sereno drive", "978 Almaden Lake Drive", "9890 bodega highway", "99 Wonderland Park", "990 West Fremont Avenue", "990 West Fremont Avenue j", "AMC NewPark 12", "ANZ Stadium", "ANZ stadium", "Aato", "Absinthe Brasserie and Bar", "Acuario Inbursa", "Adventure Island", "Aga Khan Museum", "Agrodolce Osteria", "Akshardham", "Al Farooq Masjid", "Albert and Janet Schultz Cultural Arts Hall", "Alcatraz", "Alcatraz Island", "Aldo Los Altos", "Alexandra Palace", "Alexandra Palace Ice Rink", "All Saints, Margaret Street", "Allan Gardens", "Amador Apartments", "Amaravati House", "Amba Hotel Charing Cross", "American Church in Paris", "American Folk Art Museum", "American Museum of Natural History", "American Writers Museum", "Amoura", "Angel Stadium of Anaheim", "Angels Flight Railway", "Angels flight railway", "Aniki's Sushi", "Apollo Theater", "Apsley House", "Apsley house", "Aquaboulevard", "Aquaria KLCC, Kuala Lumpur.", "Aquarium of the Bay", "Aquarium of the Pacific", "Arab World Institute", "Arbol Verde Apartments", "Arbors At Mountain View", "Arc De Triomphe", "Arc de Triomphe", "Aria Dining and Banquets Fine Indian Cuisine", "Ariake", "Arizona Capitol Museum", "Arizona science center", "Art Gallery of New South Wales", "Art Museum Steps", "Art gallery of new south wales", "Art gallery of ontario", "Arte Carrillo Gil Museum", "Astoria Park", "Atami Sushi Bar and Grill", "Atlanta", "Atlanta Botanical Garden", "Atlanta History Center", "Aung Maylika", "Australian National Maritime Museum", "Autry Museum of the American West", "Avenel Apartments", "BAM Howard Gilman Opera House", "BAPS Shri Swaminarayan Mandir", "BAPS Shri Swaminarayan Mandir London", "Bacheesos", "Balboa Park", "Balboa Theatre", "Barbican Conservatory", "Barnes Foundation", "Barracuda Japanese Restaurant", "Battersea PArk Children's Zoo", "Battersea Park", "Battersea Park Children's Zoo", "Bayonne Bridge", "Bella Trattoria", "Bella Vista at Hilltop", "Belmont Park", "Belmont park", "Ben Franklin Bridge", "Benjamin Franklin Museum", "Best Taste Sushi and Chinese Restaurant", "Big Bus Tours Chicago (Tours begin at 98 E. Upper Wacker Dr.)", "Bill Speidel's Underground Tour", "Birch Aquarium at Scripps Institution of Oceanography", "Bloedel Conservatory", "Blue Note Napa", "Bodies The Exhibition", "Bodies the Exhibition", "Borough Market", "Bosque de Chapultepec", "Boston Music Room", "Bowl and Plate at White Shallot", "Bradbury Building", "Brandon Lee and Bruce Lee's Grave Site", "Branham House Apartments", "Brixton Market", "Brooklyn Bridge Park", "Brooklyn Bridge park", "Brooklyn Children's Museum", "Brookvale Chateau", "Bruno's On Fourth", "Bund Shanghai Restaurant", "Burke Museum of Natural History and Culture", "Burnham Park", "Cable Car Museum", "Cables Wake Park", "Cafe Gibraltar", "Cafe New Honolulu", "Caffe California", "Cal Coast Credit Union Amphitheater", "California African American Museum", "California Automobile Museum", "California Cafe", "California Museum", "California State Capitol Museum", "Capers Eat and Drink", "Capurro's", "Carreau du Temple", "Cars Land", "Cartoon Art Museum", "Casa Lamm Cultural Center", "Cascades Apartments", "Castles N' Coasters", "Catacombs of Paris", "Cathedral of St. Matthew the Apostle", "Centreville Amusement Park", "Century at Pacific Commons and XD", "Chandni Restaurant", "Chase Center Experience", "Chastain Memorial Park", "Chef's Wok", "Chengdu Style Restaurant", "Chicago Children's Museum", "Chicago History Museum", "Chicago Riverwalk", "Chihuly Garden and Glass", "Children's Creativity Museum", "Chili's Grill and Bar", "Chilpancingo Vista Apartments", "China Station Restaurant", "Chop Shop", "Christmas Tree Lane", "Christmas tree lane", "CineLux Almaden Cinema", "CineLux Delta Cinema Saver", "City Centre", "Claws and Craws", "Coconut Bay Thai Restaurant", "Columbia Center", "Commonwealth", "Continental Apartments", "Country Club Villa Apartments", "Courtyard Villa Apartments", "Crossroads at House of Blues Anaheim", "Crystal Springs Rhododendron Garden", "Cypress Point Villas", "DISCOVERY Children's Museum", "Darda Seafood", "Desert Botanical Garden", "Dodger Stadium", "Dr. Sun Yat Sen Classical Chinese Garden", "Duchess Oakland", "Dumbarton Oaks Museum", "Earl Burns Miller Japanese Garden", "Eden Roc Apartments", "Educated Palate Restaurant", "Educated palate restaurant", "Egg Roll King", "El Charro Mexican Food and Cantina", "Enoteca Molinari", "Estanquillo Museum", "ExCel London", "Exposition Park", "F3, 900 Blake WIlbur Drive", "Fairway Arms Apartments", "Fairytale Town", "Farmhouse Kitchen Thai Cuisine", "Featherdale Wildlife Park", "Finn Town", "Flamingo Lot", "Fleet Science Center", "Flight Wine Bar and Cafe", "Floyd Lamb Park", "Ford's Theatre", "Forest Hills Stadium", "Forestiere Underground Gardens", "Fort Funston", "Four Star Theatre", "Franchino", "Fremont Street Experience", "Fresno Chaffee Zoo", "Fresno Station", "Fujiyama ya", "Fun N Food Village", "Galeto Brazilian Steakhouse", "Gallagher Way", "Gallo's", "Galway Terrace Apartments", "Gandhi Smriti", "Gas Works Park", "Gay 90's Pizza Co.", "Georgetown Waterfront Park", "Gibson", "Ginto", "Giraffe Centre", "Go Vegan", "Golden Rice Bowl", "Golden gate Park", "Greentree Apartments", "Gum Kuo", "Halu Shabu Shabu", "Harbourfront Centre", "Harry Bridges Memorial Park", "Hatcho Japanese Cuisine", "Hatcho japanese Cuisine", "Hidden Garden Apartments", "Hollywood Walk of Fame", "Hollywood Wax Museum(r)", "Honda Center", "Hop Creek Pub", "Hs Lordships Restaurant", "Humayun's Tomb", "Hunan Home's Restaurant", "ICC Pudu", "ICC pudu", "Iberia", "Imperial Vancouver", "Independence National Historical Park", "International Spy Museum", "Italian Affair", "Italian Colors", "Jalisco's Restaurant", "Jane's Carousel", "Japanese Tea Garden", "John's of Willow Glen", "Kabul Kabob and Grill", "Kandl Bistro", "Kanpai", "Karura Forest", "Katsu Los Gatos", "Kaufmann Concert Hall", "Khan Market", "Kin Khao", "King Chuan", "Kitson Road", "Korea Garden", "Korean War Veterans Memorial", "Kuleto's restaurant", "Kusakabe", "LA Memorial Coliseum", "La Cabana", "La Casita 2", "La Vie", "Lan Su Chinese Garden", "Landmark's Albany Twin", "Lark Theater", "Las Casas De San Pedro Apartments", "Las Casas de San Pedro Apartments", "Las Vegas Natural History Museum", "Laurelwood Shopping Center", "Le Garage", "Le Parc Apartments", "Le Petit Bistro", "Leasing Office, 6600 Montecito Boulevard", "Lemongrass Bistro", "Lers Ros Thai", "Level Iii Restaurant", "Liberty Public Market", "Lin Jia Asian Kitchen", "Lincoln Park Zoo", "Locanda", "Lock Chun Restaurant", "Lodge Room", "Lodge room", "Loft Bar and Bistro", "Lokanta Grill and Bar", "London Aquatics Centre", "Luca Cucina Italiana", "Luna Mexican Kitchen", "Madame Tussauds Washington DC", "Maggie Daley Park ice skating ribbon", "Mancora Cebicheria", "Mandarin Gourmet Restaurant", "Mango's Taqueria and Cantina", "Mariscos El Patron", "Matador", "Mathilda Garden Apartments", "Menara Kuala Lumpur", "Mission Escape Atlanta", "Mister Jiu's", "Miyabi", "Mojo Theatre", "Morimoto Napa", "Murray Circle Restaurant", "Musa", "Musee des Arts Forains", "Museo del Caracol", "Museum of Astronomy and Related Sciences", "Museum of London", "Museum of the African Diaspora", "NEST", "Nairobi National Park", "National Academy of Sciences", "National Gallery of Modern Art", "National Museum of Natural History", "National Science Centre", "Newell Vista Apartments", "Newport Street Gallery", "Newseum", "Ni mo Japanese Cuisine", "Novato Park Apartments", "OMSI", "OUE Skyspace LA", "Octavia", "Ohgane Korean Bbq and Cuisine", "Old Spitalfields Market", "One Ferry building #35", "Oracle Park", "Orchids Thai", "PNE Amphitheatre", "PNE/Playland", "Pacific Science Center", "Parc Montsouris", "Parc Station Apartments", "Park Branham Apartments", "Park Viva", "Parker Palo Alto Apartments", "Parkway Place Apartments", "Parliament Hill Viewpoint", "Pasta Pelican Restaurant", "Pasta Prego", "Peachtree Road United Methodist Church", "Peacock Indian Cuisine", "Pear Street Bistro", "Pelayo's Mexican Food", "Penang Garden Restaurant", "Perfect Chinese Food", "Petersen House", "Philadelphia museum of art", "Phoenix Union Station", "Pier 17", "Pixar Pier", "Playa Mill Valley", "Plearn Thai Palace", "Pride Arts Center", "Prospect Park", "Public Art \"Urban Light\"", "Quail Run Apartments", "Rainbow Lagoon Park", "Reading Terminal Market", "Risibisi", "Rogers Centre", "Rooftop Restaurant and Bar", "Royal Botanic Gardens", "Royal Geographical Society", "Runyon Canyon Park", "Rusty's Southern", "SF", "SOMO Village Event Center", "SS United States", "Sacramento Zoo", "Saint Thomas Church Fifth Avenue", "Salito's Crab House and Prime Rib", "San Francisco", "San Vicente Restaurant", "Science World at TELUS World of Science", "Scroll Bar Waterside Kitchen", "Seattle Children's Museum", "Seiki House", "Shaking the Tree Theatre", "Shattuck Avenue", "Shen Hua", "Shiki Japanese Cuisine", "Silvercrest Housing for Snrs", "Sino", "Sitar Indian Cuisine", "Skates On the Bay", "Skates on The Bay", "SkyJump", "SlotZilla Zip Line", "Solomon R. Guggenheim Museum", "Sonoma Ave, # 44, 1820 Doctors Park Drive", "Sons of Liberty Alehouse", "Sony Hall", "St. Dominic's Catholic Church", "St. Lawrence Market", "St. Stephen's Episcopal Church", "St. Vincent Tavern and Wine Merchant", "Stanley Park", "Stephen J Pavlina Investments", "Sticky Rice Chinese Bistro and Bar", "Strawberry Fields", "Studio C Artists", "Summerwood", "Sumo Japanese Restaurant", "Sundale Arms", "Superior Palace", "Sushi Island", "Sushi Lover", "Sweeney's Grill and Bar", "Sycamore Square Housing Corporation", "Sydney Harbour Bridge", "Szechwan Restaurant", "Takumi Sushi Bar and Grill", "Talent to aMuse Theatre Co", "Tamashisoul", "Tambo Peruvian Restaurant", "The Artistic Home", "The Cartoon Museum", "The Drawing Center", "The Fillmore Philadelphia", "The Foundry", "The Garden Restaurant", "The Grotto San Francisco", "The National Gallery", "The Observatory North Park", "The Old Church Concert Hall", "The Queen Mary", "The Reel Fish Shop and Grill", "The San Diego Museum of Art", "The Studio Museum in Harlem", "The Van Buren", "The Villa", "The Village Italian Restaurant", "Theater Of The Clouds", "Theater of the Clouds", "Theatre Arts Admin Collective", "Thymele Arts", "Tradewinds Apartments", "Trattoria Pinocchio", "Two Temple Place", "Ume Sushi Japanese Restaurant", "Union Hotel Restaurants", "Val's", "Vancouver", "Vancouver Aquarium", "Vancouver Art Gallery", "Vaucluse House", "Victoria's Mexican restaurant", "Villas At Bair Island Apartment Homes", "Vin Antico", "Vin Santo", "Vineyard Meadows Apartments", "Wang Wah", "Warsaw", "Wayfare Tavern", "Willard Hicks", "Woodcreek", "Wrigley Field", "Yet Wah Restaurant", "Yoshino Sushi", "Zoo Atlanta", "acuario inbursa", "adventure island", "alki beach park", "american church in paris", "angels flight railway", "apsley house", "art gallery of new south wales", "art museum steps", "arte carrillo gil museum", "balboa park", "balto statue", "barnes foundation", "black creek pioneer village", "bodies the exhibition", "cent quatre", "champion hill stadium, Edgar kail way", "chop shop", "christmas tree lane", "courtyard villa apartments", "disney california adventure park", "dumbarton oaks museum", "forestiere underground gardens", "market", "montoya garden apartments", "national maritime museum", "oracle park", "park hill apartments", "peachtree road united methodist church", "pier 17", "reading terminal market", "rogers centre", "sonoma ave, # 44, 1820 doctors park drive", "the Clover Theater", "the Queen Mary", "the grill on the alley", "the picasso", "the van buren", "tristan bates theatre", "vina enoteca", "warsaw", "wrigley field" ] }, "number_of_riders": { "dataset_names": [ "sgd" ], "description": "Number of riders to call taxi for", "possible_values": [ "none", "do not care", "1", "2", "3", "4" ] }, "number_of_seats": { "dataset_names": [ "sgd" ], "description": "Number of seats to reserve in the cab", "possible_values": [ "none", "do not care", "1", "2", "3", "4" ] }, "ride_fare": { "dataset_names": [ "sgd", "sgd" ], "description": "Total fare for taxi ride", "possible_values": [ "?" ] }, "ride_type": { "dataset_names": [ "sgd" ], "description": "Type of cab ride", "possible_values": [ "none", "do not care", "Luxury", "Pool", "Regular" ] }, "shared_ride": { "dataset_names": [ "sgd" ], "description": "Boolean flag whether ride is shared with other passengers", "possible_values": [ "none", "do not care", "False", "True" ] }, "wait_time": { "dataset_names": [ "sgd" ], "description": "Expected waiting time for pick-up by cab", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55", "?" ] } }, "services": { "address": { "dataset_names": [ "sgd", "sgd" ], "description": "Address of the dentist", "possible_values": [ "?" ] }, "appointment_date": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Date for the appointment", "possible_values": [ "none", "do not care", "10th of March", "10th of march", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of March", "13th of march", "13th of this month", "14th of March", "14th of march", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of march", "2nd of this month", "3rd of March", "3rd of march", "3rd of this month", "4th of March", "4th of march", "4th of this month", "5th of March", "5th of march", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of march", "7th of this month", "8th of March", "8th of march", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "MArch 10th", "MArch 14th", "MArch 1st", "MArch 2nd", "MArch 3rd", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next weeK", "Monday next week", "Next Friday", "Next Monday", "Next Thursday", "Next Tuesday", "Next Wednesday", "Next friday", "Saturday this week", "Sunday this week", "The 10th", "The 12th", "The 14th", "The 1st", "The 2nd", "The 3rd", "The 5th", "This Saturday", "This Sunday", "This saturday", "Thursday Next week", "Thursday next week", "Today", "Tomorrow", "Tuesday next week", "Wednesday next week", "day after tomorrow", "friday next week", "later today", "march 10th", "march 11th", "march 12th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 4th", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next tuesday", "next wednesday", "saturday this week", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this saturday", "thursday next week", "today", "tomorrow", "tuesday next week", "wednesday next week" ] }, "appointment_time": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Time of the appointment", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "average_rating": { "dataset_names": [ "sgd", "sgd" ], "description": "Average review rating for the stylist/salon", "possible_values": [ "?" ] }, "city": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "City where the salon is located", "possible_values": [ "none", "do not care", "Alameda", "Albany", "American Canyon", "Antioch", "Atherton", "Belmont", "Benicia", "Berkeley", "Brentwood", "Burlingame", "CUpertino", "Campbell", "Castro Valley", "Concord", "Corte Madera", "Corte madera", "Cotati", "Cupertino", "Daly City", "Danville", "Dixon", "Dublin", "El Cerrito", "El Sobrante", "El cerrito", "Eldridge", "Emeryville", "Fairfax", "Fairfield", "Foster City", "Fremont", "Gilroy", "Half Moon Bay", "Hayward", "Healdsburg", "Hercules", "Lafayette", "Larkspur", "Livermore", "Los Altos", "Los Gatos", "Los altos", "Martinez", "Menlo Park", "Menlo park", "Mill VAlley", "Mill Valley", "Millbrae", "Milpitas", "Morgan Hill", "Mountain View", "Mountain view", "Napa", "Newark", "Novato", "OAKLAND", "Oakland", "Oakley", "Orinda", "Pacifica", "Palo ALto", "Palo Alto", "Petaluma", "Pinole", "Pittsburg", "Pleasant Hill", "Pleasant hill", "Pleasanton", "Point Reyes Station", "Portola Valley", "Redwood City", "Redwood city", "Richmond", "Rohnert Park", "SF", "SFO", "San Anselmo", "San Bruno", "San Carlos", "San FRancisco", "San Fran", "San Francisco", "San JOse", "San Jose", "San Leandro", "San Lorenzo", "San Mateo", "San Pablo", "San RAmon", "San Rafael", "San Ramon", "San francisco", "San jose", "San ramon", "Santa Clara", "Santa ROsa", "Santa Rosa", "Santa clara", "Saratoga", "Sausalito", "Sebastopol", "Sonoma", "South San Francisco", "St. Helena", "Stanford", "Sunnyvale", "Union City", "Vacaville", "Vallejo", "Walnut Creek", "Windsor", "Woodside", "alameda", "albany", "antioch", "atherton", "berkeley", "burlingame", "campbell", "castro Valley", "concord", "cupertino", "daly city", "danville", "dixon", "dublin", "fairfax", "fairfield", "fremont", "gilroy", "hayward", "lafayette", "livermore", "los Altos", "los Gatos", "los altos", "los gatos", "martinez", "menlo park", "mill valley", "mountain view", "napa", "novato", "oakland", "oakley", "palo alto", "petaluma", "pittsburg", "pleasant Hill", "pleasant hill", "pleasanton", "redwood city", "rohnert park", "san Fran", "san Francisco", "san Mateo", "san carlos", "san francisco", "san jose", "san leandro", "san mateo", "santa clara", "santa rosa", "saratoga", "sebastopol", "sf", "sfo", "south san francisco", "st. helena", "sunnyvale", "union city", "vacaville", "walnut creek", "?" ] }, "count": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "dentist_name": { "dataset_names": [ "sgd" ], "description": "Name of the dentist", "possible_values": [ "none", "do not care", "A 1 Dental Care", "A A Aesthetics Dental Care", "A J Dental Lab", "A J Dental lab", "A j Dental Lab", "Abad Dental Office", "Abadi Esfandiar", "Access Dental Santa Rosa", "Advanced Ceramics Dental Sudio", "Ahmed Sameena", "Albert Lee", "Albert lee", "Amazing Smile Dental", "Amazing Smile dental", "Amazing smile Dental", "Amazing smile dental", "Amine G Khoury", "Amy N. Tran And Eric R. Nagareda", "Amy N. Tran, And Eric R. Nagareda", "Amy N. Tran, and Eric R. Nagareda", "Andrei Simel , Family and Cosmetic Dentisry", "Andrei Simel , Family and cosmetic dentisry", "Appian Dental Center", "Apple Dental Practice", "Apple dental practice", "Arroyo Park Family Dental", "Astra Dental", "Baker Gregory R", "Balboa Dental Care", "Banner Associates", "Bares William R", "Bay Area Kids Dentist", "Bayhill Dental Care / Dr. Diaz F Luisa", "Boyer Dental Arts", "Burr", "C Dental X ray", "C K Dental Lab", "C K Dental lab", "Cabanas Carol L", "California Creative Ceramics", "Carhuamaca Lat Arturo", "Castro Valley Health", "Cathrine Steinborn", "Centerville Dental Care", "Central Dental Group", "Chandiok Neena K", "Chen Heather", "Chen Jiangkai", "Cho Benjamin", "Chu Tuong Van", "Cofield Marianne", "Cosmetic Dentist In Los Gatos Moradi Signature Smiles Sedation Dentistry", "Cosmetic Dentist In Los Gatos Moradi Signature smiles Sedation Dentistry", "Cosmetic Dentist in Los Gatos Moradi Signature Smiles Sedation Dentistry", "Cosmetic Dentistry Antioch CA", "Cosmetic Dentistry Antioch Ca", "Craig Wilson Msd", "Daniel Sullivan", "Danielson Gordon", "Darnell Jr Robert", "Deffenbaugh John", "Delta Dental", "Dental Connection", "Dental Oakland San Francisco Tong Woo Lee", "Donna M Cotner", "Dr Oscar Ventanilla", "Dr Pucan Dental Office", "Dr pucan dental office", "Dr. Andrei Simel", "Dr. Andrew Doan", "Dr. Anne R. Schoenhard", "Dr. Azadeh Jafarnia", "Dr. Brian W. Chun", "Dr. Christopher J. Bennett", "Dr. Clayton G. Zeidler", "Dr. David I. Thompson", "Dr. Ehsan Rezvan", "Dr. Eugene H. Burton Iii", "Dr. Faith S. Victoriano", "Dr. Glenn L. Cheung", "Dr. Herbert C. Berquist", "Dr. Jaswinder Ghuman", "Dr. John Ichiuji", "Dr. John Y. Park", "Dr. Keller and Dr. Burk Antioch Premier Dental", "Dr. Kwang H. Kim", "Dr. Lawrence J. Mcdonald", "Dr. Michael E. Bahlinger", "Dr. Norma E. Deato", "Dr. Pascuala Geraldine T. Ocampo", "Dr. Robert E. Durr", "Dr. Robert S. Gilbert", "Dr. Sethi And Dr. Virdi", "Dr. Silvie T. Quach", "Dr. Susana M. Chou", "Dr. Svetlana Naret", "Dr. Timothy M. Gallagher", "Dr. Uyen Khanh Bui", "Dr. Yuan Tao", "Dr. svetlana naret", "Drysdale Christine", "Edwards John G", "Elena B Gousseva Grove", "Endoart: Vafaie Nader M", "Fairfield Endodontics", "Family Dental Care", "Family Dentistry Dr. Marina Manosov", "Fong Michael", "GReenview Dental Care, Yvonne Yang", "Gateway Plaza Dental Clinic", "Gerald E. Dixon Scott E. Dixon", "Ghina Morad", "Gilman Dental Group/Valerie Gilman", "Grant Road Dental", "Greenview Dental Care, Yvonne Yang", "Growing Smiles Pediatric Dentistry", "Hale Robert H", "Hasaimoto Family Dentistry", "Hickle Dallas H", "Hillcrest Family Dental Care", "Jennings Dwight E", "John R Saunderson", "Just A Cleaning", "Kahn Sandra", "Koppe Michael J", "Krystle Lim", "Leahn J Huffman", "Lee Myoung", "Lim Donald S", "Lim Jae", "Liu Vivian C", "Marc Bowen", "Mattingly James", "Menlo Park Dental Excellence", "Menlo Pediatric Dental/ Grace Kwon", "Montgomery Heath M", "Mountain Bay Dental", "New West Dental Laboratory", "Nisha Dharmani Dentistry", "North Bay Radiology", "North Meridian Dental", "O'Connor Dental Center", "Ocean Dental Lab", "Palo Alto", "Perfect Smiles Family Dentistry", "Pineda Lady F", "Pleasant Hill Dental", "Premier Family Dental: Dr. Peter Han", "Randolph Colleen", "Red Hill Dental", "Rutherford Dental Lab", "Rutherford Dental lab", "Sabbadini Gary", "Samaritan Dental Aesthetics", "Sears Dental", "Solage Dental", "Sonrisas Community Dental Center", "Stephanie Fung", "Stephanie Kahle", "Steven C Fong", "Sunrise Dental", "The Dental Dimensions", "Thomas P Farris", "Timothy H Han", "Tri Valley Dental", "Wang Jen Kuei", "a j dental lab", "ahmed sameena", "amazing smile dental", "apple dental practice", "astra dental", "balboa dental care", "bartlett James O", "bartlett james o", "burr", "centerville dental care", "cofield Marianne", "cofield marianne", "cosmetic dentist in los gatos moradi signature smiles sedation dentistry", "daniel sullivan", "dr oscar ventanilla", "dr pucan dental office", "dr. azadeh jafarnia", "dr. david a. wilkins", "pineda lady f", "plaza family dental: fowler robert k" ] }, "doctor_name": { "dataset_names": [ "sgd" ], "description": "Name of the doctor or the medical practice", "possible_values": [ "none", "do not care", "4D Miracles", "4d miracles", "Aaron Tward M.D.", "Aaron Tward, M.D.", "Abazari Mina MD", "Access Health", "Access health", "Advanced Dermatology and Skin Surgery, George Hsieh, M.D.", "Advanced Laser and Skin Care Center", "Advanced skin care and dermatology, inc.", "Aesthetic Dermatology and Skin Cancer: Jeffrey H. Binstock M.D.", "Aesthetic Dermatology and Skin Cancer: Jeffrey H. Binstock, M.D.", "Age Defying Dermatology", "Alan B. Scott, M.D.", "Albert Pisani, M.D.", "Albert pisani, M.D.", "Alchemy John MD", "Alchemy john md", "Alejandra de Alba, M.D.", "Alex De Moraes, MD", "Allura Skin and Laser Center", "Alphaeus Wise MD", "Alphaeus Wise, MD", "Alta Eye Care", "Amelia K. Hausauer, MD", "Amita Kachru, MD", "Amy Kane", "Amy Teng, DO", "Andolsen Richard J MD", "Andrew Ness, MD", "Andrew Patrinellis, MD", "Anjali Tate, M.D.", "Ann Wong, M.D.", "Anne Han M.D.", "Anne Han, M.D.", "Anthony E Jones MD", "Antioch Family Practice: Copeland John W MD", "Antioch Family Practice: Copeland john W MD", "Arthur D. Fu, MD", "Arthur H Coleman Medical Center: Dickey Jan V MD", "Associated Family Physicians: Hennessey Sean P MD", "Attia Kadri, M.D.", "Audrey Koh, MD (Associates In Obstetrics and Gynecology)", "Aura Skin Spa", "Avis E. Logan M.D.", "Avis E. Logan, M.D.", "Avis E. logan, M.D.", "Avril Swan, MD", "Baart Antioch: Quismorio William L MD", "Babak Edraki MD", "Baldwin Medical Group: Baldwin Vincent MD", "Balfour Dermatology Robert E. Beer, MD", "Bastoni Kelly A MD", "Bay Area Cosmetic Dermatology", "Bay Area House Call Physicians", "Bay Area Obstetrics and Gynecology", "Bay Area Retina Associates", "Bay Family Medical Group: Paley Adam E MD", "Bay Valley Medical Group: Sheri Task, MD", "Bayspring Medical Group: Dr. Marilyn Milkman, MD", "Beatrice Burke MD", "Beatrice Burke, MD", "Bela Steven Kenessey, MD", "Benjamin Sadoff, MD", "Benson Frederick P MD", "Berman Skin Institute", "Bernard Recht, Ph.D. M.D.", "Bhoomika Kamath, MD", "Blossom Ridge Medical Group: Zimmer J Kirk MD", "Borodulin Tatyana MD", "Brad Hinrichs, M.D.", "Brenda Manfredi, MD", "Britz Marie B MD", "Brown Peter, MD", "Bruce M. Saal MD", "Byrne Eileen MD", "California Sinus Centers", "California Skin Institute", "Carla Stelling, MD", "Carla Stelling, Md", "Carol Somersille, MD", "Carol Winton, M.D.", "Caroline Schreiber, MD", "Catherine Jiam Seagren, M.D.", "Catherine Wang, MD", "Chang David F MD", "Chen Howard MD", "Chen M Dwight MD", "Cheney Tamara MD", "Christopher A. Chin, M.D.", "Claudio A Bet Inc", "Claudio A bet inc", "Claudio a bet inc", "Clear Skin Concierge", "Clifford Chew, MD", "Clifford Hoffman DO, MPH Family Doctor", "Contra Costa REgional Med Center: Cominos Eve D MD", "Contra Costa Regional Med Center: Cominos Eve D MD", "Contra costa regional med center: Hubiak melissa M MD", "Contreras Claudio S, MD", "Cosmetic and Restorative Dermatology: Marek Lorenc, M.D.", "Curtis A. Raskin, MD, FAAD", "Cynthia S. Chiu, MD, FACS Inc.", "Cynthia S. Chiu, MD, FACS, Inc.", "DR. Paul R. Holland", "Daisy Manuel Arguelles, DO", "Dalal Sapna MD", "Daneil Hersh, MD", "Daniel J. Beers, MD", "Darith Khay Inc", "David Quincy, M.D., MPH", "Delta Aesthetics", "Dermatology Associates of the Bay Area", "Dermatology and Laser Centre", "Dermatology: UCSF Benioff Children's Hospital Oakland", "Dermatology: UCSF Benioff Children's hospital Oakland", "Diablo Family Physicians", "Diablo Valley ENT in Walnut Creek", "Dohn Richard", "Donald Burt, Jr., MD", "Donna J. Lee, MD", "Dr. Ali A. Zaki, MD", "Dr. Amita Sharma", "Dr. Amy Teng", "Dr. Anakha R. Nambiar, MD", "Dr. Andrew L. Sorenson, MD", "Dr. Andrew Patrinellis", "Dr. Andrew Sorenson", "Dr. Ani Tajirian", "Dr. Anne Cole", "Dr. Anthony Boyce", "Dr. Arthur C. O'Brien Jr, MD", "Dr. Arthur C. O'brien Jr, MD", "Dr. Beatrice Burke", "Dr. Becky Kroll", "Dr. Ben L. LittleJohn III, MD", "Dr. Ben L. Littlejohn III, MD", "Dr. Beth McDougall, MD", "Dr. Brian T. Mitchell, DO", "Dr. Caren Campbell, MD", "Dr. Carol Somersille", "Dr. Carol Winton", "Dr. Chika Akera, MD", "Dr. Christian Fulmer", "Dr. Christine P. Weigen, MD", "Dr. Christopher R. Zamani MD", "Dr. Christopher R. Zamani, MD", "Dr. Claudia Pinilla", "Dr. Dan R. Lightfoot, MD", "Dr. Daniel L. Zimmerman, MD", "Dr. David Paslin", "Dr. David Pepper", "Dr. Debra Shapiro, MD", "Dr. Deirdre Lyell, MD", "Dr. Diane C. Albracht, MD", "Dr. Dina T. Nguyen, MD", "Dr. Donald Dossett", "Dr. Donna Lee", "Dr. Ebrahim Ahmadi, MD", "Dr. Edward E. Manche, MD", "Dr. Edward Lee", "Dr. Edward Manche", "Dr. Elaine R. Sumaquial, MD", "Dr. Elizabeth Olle", "Dr. Elwood Kronick", "Dr. Faith R. Protsman, MD", "Dr. Farhad Zamani, MD", "Dr. Fasih A. Hameed, MD", "Dr. Ferry James", "Dr. Gary A. Rust, MD", "Dr. Gary Rust", "Dr. Gary W. Oliver, MD", "Dr. Gayle Sutcliffe", "Dr. George Lee", "Dr. Gregory P. Rosa, MD", "Dr. Gunjan Mittal, MD", "Dr. Hamblin Basil", "Dr. Harrup Kaur", "Dr. Hoang M. Duong, MD", "Dr. Hoang, Tuan A.", "Dr. Isaac Neuhaus", "Dr. Jacob Wardwell", "Dr. James E. Hunt, MD", "Dr. Janet Bodle", "Dr. Janet Bodle, MD", "Dr. Jay Bansal", "Dr. Jennifer Falk", "Dr. Joanne Vogel MD", "Dr. John Chiu", "Dr. John D. Pendleton, MD", "Dr. John Smucny", "Dr. Julianne G. O'callahan, MD", "Dr. Julianne G. O'callahan, Md", "Dr. Kathleen M. Healey, MD", "Dr. Kathryn K. Najafi Tagol, MD", "Dr. Kelly T. Hood, MD", "Dr. Lawrence Bruce", "Dr. Lesley Plotke", "Dr. Linda A. Teagle, MD", "Dr. Lionel M. Nelson, MD", "Dr. Louise E. Nurre, D.O.", "Dr. Madhavi Chenumalla, MD", "Dr. Malini Nijagal", "Dr. Maryam Fortani, MD", "Dr. Matthew Russell", "Dr. Mauro B. Ruffy, MD", "Dr. Mauro Ruffy", "Dr. Mehrnoosh Almassi, MD", "Dr. Michael J. McGlynn Jr, MD", "Dr. Michael J. Mcglynn Jr, MD", "Dr. Michael McGlynn Jr", "Dr. Milagros T. Buenviaje, MD", "Dr. Paley Adam", "Dr. Patricia W. Kulawiak, MD", "Dr. Philip Lindstrom", "Dr. Radhika Varma", "Dr. Ramon F. Garcia, MD", "Dr. Randal Pham at Aesthetic and Refractive Surgery Medical Center", "Dr. Richard G. Glogau, MD", "Dr. Richard Glogau", "Dr. Richard J Kerbavaz, MD", "Dr. Richard Kerbavaz", "Dr. Richard Young", "Dr. Robert A. Varady, MD", "Dr. Robert Greenberg", "Dr. Robert R. Anderson, MD", "Dr. Robert Vazquez", "Dr. Robin Bennett", "Dr. Roger N. Morrison, MD", "Dr. Roxanne Fiscella", "Dr. Ruth E. Hoddinott, MD", "Dr. Ruth Hoddinott", "Dr. Ruth Olweny", "Dr. Sabi Ahmed", "Dr. Sandra Bendeck, MD", "Dr. Shaheen Khosla", "Dr. Sharon Y. de Edwards, MD FACOG NCMP", "Dr. Silverstein David", "Dr. Sonia R. Santana, DO", "Dr. Starks Jayum", "Dr. Steven G. Pascal, MD", "Dr. Sunil S. Dhawan", "Dr. Susan Logan", "Dr. Thomas O. Stodgel, MD", "Dr. Thomas Stodgel", "Dr. Vahid Feiz, M.D.", "Dr. Vilasini Ganesh", "Dr. Vilasini M. Ganesh, MD", "Dr. Wendy Landreville", "Dr. Werschky II", "Dr. Wong Hung Kwong", "Dr. gary W. Oliver, MD", "East Bay Eye Center: Severin Todd D MD", "Edward C Lee, MD", "Elloway John MD", "Emanuel Elias, M.D.", "EyeMD of Alameda", "F. Landon Clark, M.D., MPH", "Family Birth Place", "Family Health Center of Benicia", "Feiler Lewis S MD", "Ferry James A MD", "Filer Eye MD: Filer Robert S MD", "Ford Lloyd C MD", "Gayle L. Sutcliffe, M.D.", "Gul A. Zikria, M.D., FACOG", "Harrup Kaur, MD", "Helen Matthews, MD", "Helena A. Longin, M.D.", "Howard L Friesen Inc", "J. Timothy Murphy, M.D.", "James A. Watson, MD", "Janice Kim, M.D.", "Jason R. Van Tassel, MD", "Jay Bansal, MD", "Jennifer C. Boldrick, M.D.", "Jennifer Isaacs, MD", "John Chiu, M.D.", "John Muir Medical Group: Dr. Manisha Shingate", "John Nguyen, M.D.", "Jolin Patrick V MD", "Jonathan Kurss, MD", "Jonathan S. Berek, MD, MMS", "Jonathan kurss, md", "Julie A. Chen, M.D.", "Julie Clark, MD", "Kalia Dermatology and Laser", "Kini Divya MD", "Kochenburger Richard J MD", "Linder Alan M MD", "Loriana Cirlig, MD, Board Certified Family Medicine", "Maggioncalda Michael D DO", "Makela Women's Health: Sandra Makela, M.D.", "Marc H. Levin, MD, PhD.", "MarinEyes", "Martin Fishman, MD", "Meghan Dickman MD", "Meghan Dickman, MD", "Mignonette (Mae) Willkom, MD", "NCMA Redwood Family Dermatology", "Napa Dermatology Associates", "Neil Fruman, MD Retired", "Neil Fruman, MD retired", "Nicole A. Jeffrey Starr, M.D.", "Nikolajs Lapins, M.D.", "Nina R. Birnbaum, M.D.", "Nooshin Parhizkar, M.D.", "Novato Dermatology", "Ocean Medical Clinic", "Optima Ophthalmic Med Associates: Mandel Mark R MD", "Rachel Villalon, MD", "Rajnish Gupta, M.D., Ph.D.", "Ratcliffe Jennifer V MD", "Retina Center of Solano", "Rima Goldman, MD", "Shaheen Khosla, DO", "Sonoma Dermatology", "Sonoma Developmental Center: Elmer Russell M MD", "Stewart A. Daniels, M.D", "Tam T. Nguyen, MD", "Toyin Falola, M.D.", "Women's Pelvic Health Institute Peter Castillo MD, FACOG", "abazari mina md", "access health", "albert pisani, m.d.", "alex de moraes, MD", "alphaeus wise, MD", "alta eye care", "altos oaks ob gyn group stanford", "ann wong, m.d.", "avril swan, MD", "baldwin medical group: baldwin vincent md", "bastoni kelly a md", "bay area house call physicians", "bay area retina associates", "bay family medical group: Paley adam E MD", "benson frederick p md", "berkeley family practice medical: zaman aysha md", "blossom ridge medical group: zimmer j kirk md", "chang david f md", "cheney tamara md", "claudio a bet inc", "clear skin concierge", "contra costa Regional med center: hubiak Melissa m MD", "dalal sapna md", "dale pearlman MD", "diablo family physicians", "dotz warren dr", "dr. andy y. zhu, md", "dr. chika akera, MD", "dr. clark rosen, md", "dr. david a. laub, md", "dr. farhad zamani, md", "dr. fasih a. hameed, md", "dr. james n. cohn, md", "dr. lloyd c ford, md contra costa ent a division of bass medical group", "dr. louise e. nurre, D.O.", "dr. william a. davis, md", "elloway john md", "james a. watson, md", "jason r. van tassel, md", "kambridge hribar, md", "medicus: carrillo lornalyn J MD", "nina r. birnbaum, m.d." ] }, "is_unisex": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the salon is unisex", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "offers_cosmetic_services": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating if the dentist offers cosmetic services", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "phone_number": { "dataset_names": [ "sgd", "sgd", "sgd", "sgd" ], "description": "Phone number of the stylist/salon", "possible_values": [ "?" ] }, "street_address": { "dataset_names": [ "sgd", "sgd" ], "description": "Address of the stylist/salon", "possible_values": [ "?" ] }, "stylist_name": { "dataset_names": [ "sgd" ], "description": "Name of the hair stylist/salon", "possible_values": [ "none", "do not care", "1512 BArber Shop", "1512 Barber SHop", "1512 Barber Shop", "1512 Barber shop", "1512 barber Shop", "1512 barber shop", "17 Jewels Salon", "17 jewels salon", "18", "18/8 Fine Men'S Salons Palo Alto", "18/8 Fine Men'S Salons Palo alto", "18/8 Fine Men'S salons Palo Alto", "18/8 Fine Men'S salons palo Alto", "18/8 Fine Men's Salons Palo Alto", "18/8 Fine Men's salons Palo Alto", "20TH Salon and Barber", "20Th Salon And Barber", "20Th Salon And barber", "20Th Salon and Barber", "20th Salon And Barber", "20th Salon and Barber", "20th salon and barber", "3Sixty Salon And Boutique", "3Sixty Salon and Boutique", "3Sixty salon and Boutique", "3sixty Salon And Boutique", "3sixty salon and boutique", "A Businessman'S Haircut", "A Businessman's Haircut", "A Businessman's haircut", "A businessman's haircut", "A+ Haircuts For Men", "A+ Haircuts for Men", "ATelier Salon Willow Glen", "About Time Barber Shop", "Al'S Barber Shop", "Al's Barber Shop", "Al's barber shop", "Albany Hair Salon", "Alex'S Classic Barber Shop", "Alex'S Classic Barber shop", "Alex's Classic Barber Shop", "Alexander G.", "Alpha Barbershop", "Anu'S Beautique", "Ap Luxe Salon", "Apple Salon Hair and Nails", "Atelier Salon Willow Glen", "Atelier salon Willow Glen", "Atelier salon Willow glen", "Atelier salon willow glen", "August BarberShop", "August Barbershop", "Aya Salon and Spa", "Aya Salon and spa", "Aya salon and spa", "B Parlor", "Barba and CO. San Jose", "Barba and Co. San Jose", "Barba and Co. San jose", "Barba and co. san jose", "Barber Lane Marin", "Barber's Garage", "Barberia Salon", "Bateau Hair Salon", "Beauology", "Beautique Salon", "Beautique salon", "Bella Capelli Salon", "Belmont Hair Studio", "Belmont Hair studio", "Benny Adem Grooming Parlor", "Benny Adem grooming parlor", "Berkeley Hair Studio", "Berkeley Hair studio", "Berkeley hair studio", "Best Coast Cuts", "Best Coast cuts", "Best Hair", "Bibo Salon", "Black and Gold Barber Lounge", "Blow Dry Bar", "Blow Dry bar", "Bollywood Beauty Salon", "Breds Barbershop", "Burlingame Barber Shop", "Bushwacker Barbers", "C C Beauty Salon", "C'S Barber Shop", "CS Barber Shop", "California Barber Shop", "Caroline'S Salon", "Casual Chic Salon", "Chop Salon and Spa", "Christine'S Salon", "Christine's Salon", "Citizen Salon", "Citrus Salon", "Citrus salon", "Colour Bar", "Concept Barbershop", "Cool Tops", "Cosmo'S Barber Shop", "Cosmo'S Barber shop", "Cosmo's Barber Shop", "Cosmo's Barber shop", "Craft Salon and Barbershop", "Crewners Barber Shop", "Crowns Barber Shop and Hair Salon", "Cubby Cuts For Kids", "Cubby Cuts for Kids", "Cut Right Barber shop", "D and H Hair Salon", "D and H Hair salon", "D and H hair salon", "DandO Salon", "DandO salon", "Daredevils and Queens", "Daredevils and queens", "Didi Salon", "Dimoda Salon", "Dipietro Todd Salon", "Divine Beauty Salon", "Dream Salon", "Drybar Burlingame", "Drybar Walnut Creek", "Dukes And Dolls Salon", "Dukes and Dolls Salon", "Edge Hair Salon", "Edward'S Salon", "Edward's salon", "Elite Hair Design", "Elite hair Design", "Elixir Salon An Aveda And Eufora Eco Boutique Salon", "Elle Lui Hair Salon", "Empire Barbershop", "Evergreen Barbershop", "Evoke Beauty Salon", "Exclusive Spa", "Eyebrow Hub Vallejo", "Eyebrow Hub vallejo", "Fairfax Barber Shop", "Fig and Clover", "First Class Barber Shop", "Fremont Barber Shop", "Fusion 3 Salon Livermore", "Fusion 3 Salon Pleasanton", "Fusion 3 salon Livermore", "Fusion 3 salon livermore", "Galaxy Barber Shop", "Garlic City Barbers", "Gary Patrick Salon", "Glama Rama! Salon", "Great Clips", "Great Clips in Blackhawk, Danville", "Great clips", "Grove Salon", "HIMC Barber Studio", "Hair By Jane Joo In San Ramon", "Hair By Jane Joo in San Ramon", "Hair Fairies the Head Lice Helpers", "Hair International", "Hairapy", "Happy Cuts", "Hi Definition Salon", "Himc Barber Studio", "Hitters Barber Shop", "Hunny Hair and Nail Spa", "Hunny hair and nail Spa", "Inspire Hair", "Isalon", "Jimmy Hair Team", "Jimmy hair team", "Jovance Salon and Barbering", "Kenny Le Salon", "Kim P Beauty Care", "Kim P Beauty care", "Kim P beauty care", "King Of Kutz Barbershop", "King of Kutz Barbershop", "King of kutz barbershop", "Kings cuts", "La Petite Hair Salon", "Le Reve Salon", "Leading Edge Salon", "Les Amis Salon Et Spa", "Linda Hair and Nails", "Livermore Barber Shop Third Street Og", "Lollipop Haircut Shop", "Lollipop Haircut shop", "Los Gatos Beauty Bar", "Main Barber", "Menlo Park Barber Shop", "Miller and Mane", "Mission Square Barber Shop", "Mockingbird heights salon", "Modern Classics Barber Shop", "Natalie'S Salon", "Natalie's Salon", "Natalie's salon", "New Florence Salon", "Olive Hill Salon", "Oz A Salon Inc", "Parlour 17", "Philgood Cuts", "Precision Cutz", "Primo's Barbershop", "Primo's barbershop", "Public Barber Salon", "Rae Talbot Salon", "Rage Salon", "Reframe Hair Gallery", "Revamp Salon", "Salon 1500", "Salon Method", "Salon Mia Bella", "Salon Revel", "Salon Valenti Hair Nails Skin", "Santa Clara Sports Barber Shop", "Sasha Salon", "Sasha salon", "Shampoo Dolls", "Slick and Dapper On Grand", "Slick'S Barber Shop", "Sofia African Hair Braiding", "Sport Clips Haircuts Of Benicia", "Sport Clips Haircuts Of Fremont", "Sport Clips Haircuts Of Morgan Hill", "Sport Clips Haircuts Of Vacaville Nut Tree Village", "Sport Clips Haircuts of Benicia", "Sport Clips Haircuts of Brentwood", "Sport Clips Haircuts of Fremont", "Sport Clips Haircuts of San Ramon", "Sproos Hair Salon", "Stags Barbershop", "Stanford Hair", "Style Bar", "Supercuts", "Supercuts Sequoia Station", "Supercuts Village Oaks Shopping Center", "Tangerine Hair Studio", "The Gentlemen'S Parlor", "The Gentlemen's Barbershop", "The barbers Inc. barbershop", "Today's Haircuts", "Today's haircuts", "Tommy Cuts", "V's Barbershop Campbell", "Viange Hair Saratoga", "Village Barber Shop", "Village barber shop", "Wash and Brushup Co.", "a businessman's haircut", "a+ haircuts for men", "about Time Barber Shop", "about time barber shop", "atelier salon willow glen", "barba and co. san jose", "barber's garage", "blow dry bar", "breds barbershop", "burlingame barber shop", "daredevils and queens", "didi salon", "great clips", "hair by Jane joo in San Ramon", "himc barber studio", "kim p beauty care", "latinos hair salon and spa", "mockingbird heights salon", "new fashion hair", "olive hill salon", "primo's Barbershop", "redwood barber co", "reframe hair gallery", "salon method", "sharp barber shop", "stags barbershop" ] }, "therapist_name": { "dataset_names": [ "sgd" ], "description": "Name of the therapist", "possible_values": [ "none", "do not care", "Adam E. Pollock", "Adam E. pollock", "Aguilar Churchill SPence", "Aguilar Churchill Spence", "Akins Faren R", "Alameda Children'S Specialized", "Alameda Children's SPecialized", "Alameda Children's Specialized", "Alameda Children's specialized", "Alissa Scanlin Psyd", "Allied Medical And Consultation Services", "Allied Medical and Consultation Services", "Alvarez Scott", "Andreas R. Bollinger", "Andreotti Daniel", "Ariela ORa Karasov", "Ariela Ora Karasov", "Auer Patience", "Ayne Shore", "Bacheler Janet", "Bacosa Frances", "Baker Patricia L", "Banner Linda L", "Barskyex Bryna G", "Barskyex bryna G", "Barskyex bryna g", "Beck Jennifer P", "Beck Jennifer p", "Becker Hubert J", "Becker hubert j", "Beitler Penny", "Bert Epstein", "Beth Kane", "Bishop Sue A", "Blank Gary A", "Blank gary a", "Bower Rosemary A", "Brown Brooke A", "Brown Timothy A", "Building Better Relationships", "Building Better relationships", "Building better relationships", "Burdge Sarah", "CHristopher J. Celio", "Caldwell Leslie", "Carney Carder Gail D", "Carol Weser", "Carolyn Finn Mitchell", "Cassie L. O'Brien", "Center For Learning", "Center For Well Being", "Center for Learning", "Center for Well Being", "Center for well Being", "Chamberlain Susan", "Charles Dennis Barton, Jr", "Christina M. Walker", "Christopher J. Celio", "Churchill Pat", "Clausen June", "Culberson Couple Counseling", "Cutting Linda P", "Cynthia Mansur", "David A. Flakoll", "David P. Goldstein", "Deardorff Julianna", "Deborah Clark", "Della Fernandes, Licensed Marriage And Family Therapist, Mfc 50734", "Demain Laurel E", "Diana C. Methfessel, Ma", "Dillon Charles R", "Dixon Lilo", "Donnelly Diane", "Dr. David Matz Psychologist", "Dr. David Matz, Psychologist", "Dr. Kalpana I. Nathan", "Dr. Manuj K. Nangia", "Dr. david Matz, Psychologist", "Dunlap Peter T", "Dwyer Patricia J", "Dwyer Patricia j", "Dwyer patricia J", "Edelstein Mary R", "Elizabeth A. Uno", "Ellen M. Sanford", "Ellsworth Elizabeth", "Emily Rosenbaum", "Evan H. Garner", "Expanding Horizons", "Family Solutions Inc", "Ferrari Cynthia", "Florence P. Creighton, Lcsw", "Flores Michelle M", "Fredkin Susan", "Galindo Jaime", "Garcia Daniel", "Heidi Clark, Np", "Jacome Paulette D", "Jannell Elaina M", "Jeff Greenwald", "Jones Jeannette", "Julie Weigel", "Kane Monique", "Karrah T. Fowler, MS", "Karrah T. Fowler, Ms", "Kate Corcoran", "Katharine C. Sears", "Keith Davies Joan", "Kirmil Gray Kathleen", "Larkin Matt", "Leininger Anne", "Leininger anne", "Leslie Baker MA", "Leslie Baker Ma", "Linn Terri", "Loffer Shirley", "Lola Vildavskaia", "Lola vildavskaia", "Lowe Richard", "Mahendra T. Bhati", "Mayer Johanna M", "Michael P. Healy", "Miller Nicole G", "Montes Jorge L", "Morales Miliciades", "Morgan Sheryl", "Mosher Kathy A", "Neer Patrick M", "O'Grady David", "Pamela Butler, Psychologist", "Pamela Culver Psy", "Pamela Culver, Psy", "Pamela Culver, psy", "Paul Wilson", "Paul wilson", "Paz George G", "Perez Linda M", "Pfaff Loretta", "Rachelle Coate", "Richard J. Leary", "Rigg Christie", "Rose Light", "Sara Bunce, Psychotherapist", "Schmall Rahima S", "Sorensen Phyllis", "Stoltzman Roger", "Strauss Jeanne", "Sunnyvale Psychiatry", "Susan Bernadett Shapiro", "Susan M. Greene", "Tony L. Johnson", "Ureta Cesar G", "Wetzler Kathryn", "Whang Ramos Paula", "Withington Deborah", "Wolter Charlotte", "Yoerg Robert L", "alameda children's specialized", "ayne shore", "barskyex bryna G", "barskyex bryna g", "beck jennifer p", "becker hubert j", "bert epstein", "blank gary a", "building better relationships", "cutting linda p", "diana c. methfessel, ma", "jacome paulette D", "larkin matt", "leininger anne", "lola vildavskaia", "miller nicole g", "sorensen phyllis" ] }, "type": { "dataset_names": [ "sgd", "sgd" ], "description": "Speciality of the doctor", "possible_values": [ "none", "do not care", "Dermatologist", "ENT Specialist", "Family Counselor", "General Practitioner", "Gynecologist", "Ophthalmologist", "Psychiatrist", "Psychologist", "?" ] } }, "train": { "class": { "dataset_names": [ "sgd" ], "description": "Fare class for train reservation", "possible_values": [ "none", "do not care", "Business", "Flexible", "Value" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "date_of_journey": { "dataset_names": [ "sgd" ], "description": "Date of train journey", "possible_values": [ "none", "do not care", "10th of March", "10th of this month", "11th of March", "11th of march", "11th of this month", "12th of March", "12th of march", "12th of this month", "13th of MArch", "13th of March", "13th of this month", "14th of March", "14th of this month", "1st of March", "1st of march", "1st of this month", "2nd of March", "2nd of this month", "3rd of March", "3rd of this month", "4th of March", "4th of this month", "5th of March", "5th of this month", "6th of March", "6th of march", "6th of this month", "7th of March", "7th of this month", "8th of March", "8th of this month", "9th of March", "9th of march", "9th of this month", "Friday next week", "March 10th", "March 11th", "March 12th", "March 13th", "March 14th", "March 1st", "March 2nd", "March 3rd", "March 4th", "March 5th", "March 6th", "March 7th", "March 8th", "March 9th", "Monday next week", "Next Tuesday", "Saturday this week", "Sunday this week", "Thursday next week", "Tuesday next week", "Wednesday next week", "day after tomorrow", "later today", "march 11th", "march 12th", "march 13th", "march 1st", "march 6th", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "sunday this week", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "thursday next week", "today", "tomorrow" ] }, "from": { "dataset_names": [ "sgd" ], "description": "Starting city for train journey", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Atlanta", "Atlanta, GA", "Chi town", "Chicago", "Fresno", "Fresno, CA", "LA", "LAX", "Lax", "Los Angeles", "NY", "NYC", "New York", "New York City", "New York city", "Philadelphia", "Philly", "Phoenix", "Phoenix Az", "Phoenix, AZ", "Portland", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Diego", "San Fran", "San Francisco", "San diego", "Seattle", "Seattle, WA", "Vancouver", "Vancouver, BC", "WAshington", "Washington", "anaheim", "anaheim, ca", "chicago", "la", "new york", "philadelphia", "philly", "phoenix", "phoenix, AZ", "portland", "portland, OR", "sacramento", "vancouver, BC" ] }, "from_station": { "dataset_names": [ "sgd" ], "description": "Name of station at starting city", "possible_values": [ "?" ] }, "journey_start_time": { "dataset_names": [ "sgd" ], "description": "Time of start of train journey", "possible_values": [ "none", "do not care", "00:00", "00:05", "00:10", "00:15", "00:20", "00:25", "00:30", "00:35", "00:40", "00:45", "00:50", "00:55", "01:00", "01:05", "01:10", "01:15", "01:20", "01:25", "01:30", "01:35", "01:40", "01:45", "01:50", "01:55", "02:00", "02:05", "02:10", "02:15", "02:20", "02:25", "02:30", "02:35", "02:40", "02:45", "02:50", "02:55", "03:00", "03:05", "03:10", "03:15", "03:20", "03:25", "03:30", "03:35", "03:40", "03:45", "03:50", "03:55", "04:00", "04:05", "04:10", "04:15", "04:20", "04:25", "04:30", "04:35", "04:40", "04:45", "04:50", "04:55", "05:00", "05:05", "05:10", "05:15", "05:20", "05:25", "05:30", "05:35", "05:40", "05:45", "05:50", "05:55", "06:00", "06:05", "06:10", "06:15", "06:20", "06:25", "06:30", "06:35", "06:40", "06:45", "06:50", "06:55", "07:00", "07:05", "07:10", "07:15", "07:20", "07:25", "07:30", "07:35", "07:40", "07:45", "07:50", "07:55", "08:00", "08:05", "08:10", "08:15", "08:20", "08:25", "08:30", "08:35", "08:40", "08:45", "08:50", "08:55", "09:00", "09:05", "09:10", "09:15", "09:20", "09:25", "09:30", "09:35", "09:40", "09:45", "09:50", "09:55", "10:00", "10:05", "10:10", "10:15", "10:20", "10:25", "10:30", "10:35", "10:40", "10:45", "10:50", "10:55", "11:00", "11:05", "11:10", "11:15", "11:20", "11:25", "11:30", "11:35", "11:40", "11:45", "11:50", "11:55", "12:00", "12:05", "12:10", "12:15", "12:20", "12:25", "12:30", "12:35", "12:40", "12:45", "12:50", "12:55", "13:00", "13:05", "13:10", "13:15", "13:20", "13:25", "13:30", "13:35", "13:40", "13:45", "13:50", "13:55", "14:00", "14:05", "14:10", "14:15", "14:20", "14:25", "14:30", "14:35", "14:40", "14:45", "14:50", "14:55", "15:00", "15:05", "15:10", "15:15", "15:20", "15:25", "15:30", "15:35", "15:40", "15:45", "15:50", "15:55", "16:00", "16:05", "16:10", "16:15", "16:20", "16:25", "16:30", "16:35", "16:40", "16:45", "16:50", "16:55", "17:00", "17:05", "17:10", "17:15", "17:20", "17:25", "17:30", "17:35", "17:40", "17:45", "17:50", "17:55", "18:00", "18:05", "18:10", "18:15", "18:20", "18:25", "18:30", "18:35", "18:40", "18:45", "18:50", "18:55", "19:00", "19:05", "19:10", "19:15", "19:20", "19:25", "19:30", "19:35", "19:40", "19:45", "19:50", "19:55", "20:00", "20:05", "20:10", "20:15", "20:20", "20:25", "20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30", "21:35", "21:40", "21:45", "21:50", "21:55", "22:00", "22:05", "22:10", "22:15", "22:20", "22:25", "22:30", "22:35", "22:40", "22:45", "22:50", "22:55", "23:00", "23:05", "23:10", "23:15", "23:20", "23:25", "23:30", "23:35", "23:40", "23:45", "23:50", "23:55" ] }, "number_of_adults": { "dataset_names": [ "sgd" ], "description": "Number of adults to reserve train tickets for", "possible_values": [ "none", "do not care", "1", "2", "3", "4", "5" ] }, "to": { "dataset_names": [ "sgd" ], "description": "Ending city for train journey", "possible_values": [ "none", "do not care", "ANaheim", "ATL", "Anaheim", "Anaheim CA", "Anaheim, CA", "Anaheim, Ca", "Atlanta", "Atlanta, GA", "Chi Town", "Chi town", "Chicago", "Fresno", "Fresno, CA", "LA", "LAX", "Los Angeles", "NY", "NYC", "New York", "New York City", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Phoenix, Az", "Portland", "Portland, OR", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "Sacramento, Ca", "San Diego", "San Fran", "San Francisco", "Seattle", "Seattle, WA", "Vancouver", "Vancouver, BC", "Washington", "atlanta", "chi town", "chicago", "los angeles", "philadelphia", "phoenix", "phoenix, az", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, WA", "seattle, wa", "washington" ] }, "to_station": { "dataset_names": [ "sgd" ], "description": "Name of station at ending city", "possible_values": [ "?" ] }, "total": { "dataset_names": [ "sgd" ], "description": "Total price of train reservation", "possible_values": [] }, "trip_protection": { "dataset_names": [ "sgd" ], "description": "Whether to add trip protection to reservation, for a fee", "possible_values": [ "none", "do not care", "False", "True" ] } }, "travel": { "attraction_name": { "dataset_names": [ "sgd" ], "description": "Common name of the attraction", "possible_values": [] }, "category": { "dataset_names": [ "sgd" ], "description": "Category to which the attraction belongs", "possible_values": [ "none", "do not care", "Historical Landmark", "Museum", "Nature Preserve", "Park", "Performing Arts Venue", "Place of Worship", "Shopping Area", "Sports Venue", "Theme Park", "Tourist Attraction" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "free_entry": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating whether entrance to attraction is free", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "good_for_kids": { "dataset_names": [ "sgd" ], "description": "Boolean flag indicating whether attraction is good for to take kids to", "possible_values": [ "none", "do not care", "False", "True", "?" ] }, "location": { "dataset_names": [ "sgd" ], "description": "City or town where the attraction is located", "possible_values": [ "none", "do not care", "ATL", "Anaheim", "Anaheim, CA", "Anaheim, Ca", "Atlanta", "Atlanta, GA", "Atlanta, Ga", "Berlin", "CDMX", "CHi town", "Cape Town", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Ciudad de mexico", "DC", "Delhi", "Delhi, India", "District of Columbia", "Fresno", "Fresno, CA", "Fresno, Ca", "KL", "Kuala Lumpur", "Kuala lumpur", "LA", "LAX", "Las Vegas", "London", "London England", "London UK", "London, England", "London, UK", "London, Uk", "London, england", "Long Beach", "Long Beach CA", "Long Beach, CA", "Los Angeles", "Los angeles", "Mexico City", "Mexico city", "NY", "NYC", "Nairobi", "Nairobi, Kenya", "New Delhi", "New York", "New York City", "New York city", "New york city", "Paris", "Paris France", "Paris, France", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Portland", "Portland, OR", "Portland, Or", "Rio", "Rio de Janeiro", "SD", "SF", "SFO", "Sacramento", "Sacramento Ca", "Sacramento, CA", "Sacramento, Ca", "San DIego", "San Diego", "San Fran", "San Francisco", "San diego", "Seattle", "Seattle, WA", "Seattle, Wa", "Seattle, wa", "Sydney", "Sydney Australia", "Sydney NSW", "Sydney, Australia", "Sydney, NSW", "Sydney, australia", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Vancouver", "Vancouver BC", "Vancouver, BC", "Vegas", "Warsaw", "Washington", "Washington D.C.", "Washington, D.C.", "anaheim", "anaheim, ca", "atl", "atlanta", "atlanta, GA", "chi town", "chicago", "ciudad de mexico", "dc", "delhi", "delhi, india", "district of Columbia", "district of columbia", "fresno", "fresno, CA", "kl", "la", "las vegas", "lax", "london", "london, England", "london, UK", "london, england", "london, uk", "long beach", "long beach, ca", "los angeles", "mexico city", "new York city", "new york", "new york city", "ny", "nyc", "paris", "paris, france", "philadelphia", "philly", "phoenix", "phoenix, az", "portland", "sacramento", "sacramento, ca", "san diego", "san fran", "san francisco", "sd", "seattle", "seattle, wa", "sf", "sfo", "sydney", "sydney, nsw", "toronto", "toronto, ontario", "vancouver", "vancouver, bc", "washington" ] }, "phone_number": { "dataset_names": [ "sgd" ], "description": "Phone number to contact the attraction", "possible_values": [ "?" ] } }, "weather": { "city": { "dataset_names": [ "sgd" ], "description": "Name of the city", "possible_values": [ "none", "do not care", "ATL", "Alameda", "Alamo", "Albany", "American Canyon", "American canyon", "Anaheim", "Anaheim CA", "Anaheim, CA", "Anaheim, Ca", "Antioch", "Atherton", "Atlanta", "Atlanta GA", "Atlanta, GA", "Atlanta, Ga", "Bay Point", "Belmont", "Benicia", "Berkeley", "Bodega Bay", "Bolinas", "Brentwood", "Brisbane", "Burlingame", "CDMX", "Calistoga", "Campbell", "Castro Valley", "Chi Town", "Chi town", "Chicago", "Ciudad de Mexico", "Clayton", "Cloverdale", "Concord", "Corte Madera", "Cotati", "Cupertino", "DC", "Daly City", "Danville", "Delhi", "Delhi India", "Delhi, India", "Discovery Bay", "District of Columbia", "Dixon", "Dublin", "Duncans Mills", "East Palo Alto", "El Cerrito", "El Sobrante", "Eldridge", "Emeryville", "FAIRFAX", "Fairfax", "Fairfield", "Forestville", "Foster City", "Fremont", "Fresno", "Fresno, CA", "Fresno, Ca", "Geyserville", "Gilroy", "Glen Ellen", "Graton", "Guerneville", "Half Moon Bay", "Half Moon bay", "Hayward", "Healdsburg", "Hercules", "Inverness", "KL", "Kenwood", "Kuala Lumpur", "LA", "LAX", "Lafayette", "Lagunitas", "Larkspur", "Las Vegas", "Livermore", "London", "London England", "London UK", "London, England", "London, UK", "London, Uk", "Long Beach", "Long Beach CA", "Long Beach, CA", "Long beach, CA", "Los Altos", "Los Angeles", "Los Gatos", "Marshall", "Martinez", "Menlo Park", "Mexico City", "Mexico city", "Mill Valley", "Millbrae", "Milpitas", "Montara", "Moraga", "Morgan Hill", "Mountain View", "Muir Beach", "NY", "NYC", "Nairobi", "Nairobi Kenya", "Nairobi, Kenya", "Napa", "New Delhi", "New York", "New York City", "New York city", "New york city", "Newark", "Novato", "Ny", "Oakland", "Oakley", "Occidental", "Olema, California", "Orinda", "Pacifica", "Palo Alto", "Paris", "Paris France", "Paris, France", "Pescadero", "Petaluma", "Philadelphia", "Philly", "Phoenix", "Phoenix, AZ", "Pinole", "Pittsburg", "Pleasant Hill", "Pleasanton", "Point Reyes Station", "Portland", "Portland, OR", "Portola Valley", "Redwood City", "Redwood city", "Richmond", "Rio Vista", "Rohnert Park", "Ross", "Rutherford", "SD", "SF", "SFO", "Sacramento", "Sacramento, CA", "San Anselmo", "San Bruno", "San Carlos", "San Diego", "San Fran", "San Francisco", "San JOse", "San Jose", "San Leandro", "San Lorenzo", "San Mateo", "San Pablo", "San Rafael", "San Ramon", "San fran", "Santa Clara", "Santa Rosa", "Saratoga", "Sausalito", "Seattle", "Seattle, WA", "Seattle, Wa", "Seattle, wa", "Sebastopol", "Sonoma", "South San Francisco", "St. Helena", "Stanford", "Stinson Beach", "Suisun City", "Sunnyvale", "Sunol", "Sydney", "Sydney Australia", "Sydney, Australia", "Sydney, NSW", "Tiburon", "Tomales", "Toronto", "Toronto, Canada", "Toronto, Ontario", "Union City", "Vacaville", "Vallejo", "Valley Ford", "Vancouver", "Vancouver, BC", "Vegas", "Walnut Creek", "Washington", "Washington D.C.", "Windsor", "Woodside", "Yountville", "alamo", "albany", "anaheim", "atlanta, GA", "atlanta, ga", "belmont", "berkeley", "calistoga", "campbell", "castro valley", "chi town", "chicago", "ciudad de mexico", "cloverdale", "concord", "cupertino", "daly city", "delhi", "delhi, india", "district of columbia", "el sobrante", "eldridge", "foster city", "fremont", "fresno", "fresno, CA", "gilroy", "healdsburg", "inverness", "lafayette", "larkspur", "las vegas", "london, England", "london, england", "long beach", "los altos", "los angeles", "los gatos", "marshall", "martinez", "mill valley", "millbrae", "nairobi, kenya", "new York city", "new delhi", "new york city", "newark", "oakland", "oakley", "orinda", "pescadero", "philadelphia", "philly", "phoenix", "phoenix, AZ", "pittsburg", "pleasant hill", "portland", "redwood city", "sacramento", "san francisco", "san jose", "santa clara", "santa rosa", "sd", "seattle", "sonoma", "stanford", "sunnyvale", "sydney", "toronto, canada", "vancouver", "vancouver, bc", "vegas", "washington", "woodside" ] }, "count": { "dataset_names": [ "sgd" ], "description": "the number of items found that satisfy the user's request.", "possible_values": [] }, "date": { "dataset_names": [ "sgd" ], "description": "Date for the weather", "possible_values": [ "none", "do not care", "10th of March", "10th of March 2019", "10th of this month", "11th of March", "11th of March 2019", "11th of march", "11th of this month", "12th of March", "12th of March 2019", "12th of march", "12th of this month", "13th of March", "13th of March 2019", "13th of march", "13th of this month", "14th of March", "14th of March 2019", "14th of this month", "1st of March", "1st of March 2019", "1st of march", "1st of this month", "2nd of March", "2nd of March 2019", "2nd of this month", "3rd of March", "3rd of 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"later today", "march 10th", "march 11th", "march 13th", "march 14th", "march 1st", "march 2nd", "march 3rd", "march 5th", "march 6th", "march 7th", "march 8th", "march 9th", "monday next week", "next Friday", "next Monday", "next Thursday", "next Tuesday", "next Wednesday", "next friday", "next monday", "next thursday", "next tuesday", "next wednesday", "the 10th", "the 11th", "the 12th", "the 13th", "the 14th", "the 1st", "the 2nd", "the 3rd", "the 4th", "the 5th", "the 6th", "the 7th", "the 8th", "the 9th", "this Saturday", "this Sunday", "this sunday", "today", "tomorrow", "wEDNESDAY NEXT WEEK", "wednesday next week", "?" ] }, "humidity": { "dataset_names": [ "sgd" ], "description": "Percentage humidity", "possible_values": [ "?" ] }, "precipitation": { "dataset_names": [ "sgd" ], "description": "The possibility of rain or snow in percentage", "possible_values": [] }, "temperature": { "dataset_names": [ "sgd" ], "description": "Temperature in Fahrenheit", "possible_values": [] }, 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