3 female_names = [
"Anna",
"Beth",
"Carmen",
"Jennifer",
"Jessica",
"Kimberly",
"Kristina",
"Laura",
"Mary",
"Sarah"]
4 male_names = [
"Alfred",
"Charles",
"Daniel",
"James",
"John",
"Luis",
"Paul",
"Richard",
"Robert",
"Steve"]
5 names = female_names + male_names
8 locations = [
'kitchen',
'livingroom',
'hall',
'bedroom',
'office']
12 all_locations = [{
'room':
'livingroom',
'category':
'shelf',
'location_name':
'cupboard',
'manipulation':
'yes'},
13 {
'room':
'livingroom',
'category':
'table',
'location_name':
'couchtable',
'manipulation':
'yes'},
14 {
'room':
'livingroom',
'category':
'shelf',
'location_name':
'cabinet',
'manipulation':
'yes'},
15 {
'room':
'livingroom',
'category':
'appliance',
'location_name':
'tv',
'manipulation':
'no'},
16 {
'room':
'livingroom',
'category':
'seat',
'location_name':
'couch',
'manipulation':
'no'},
17 {
'room':
'kitchen',
'category':
'',
'location_name':
'kitchencounter',
'manipulation':
'yes'},
18 {
'room':
'kitchen',
'category':
'appliance',
'location_name':
'stove',
'manipulation':
'yes'},
19 {
'room':
'kitchen',
'category':
'appliance',
'location_name':
'fridge',
'manipulation':
'yes'},
20 {
'room':
'kitchen',
'category':
'appliance',
'location_name':
'sink',
'manipulation':
'yes'},
21 {
'room':
'kitchen',
'category':
'utility',
'location_name':
'trashbin',
'manipulation':
'no'},
22 {
'room':
'kitchen',
'category':
'table',
'location_name':
'bartable',
'manipulation':
'yes'},
23 {
'room':
'hall',
'category':
'table',
'location_name':
'small_table',
'manipulation':
'yes'},
24 {
'room':
'hall',
'category':
'utility',
'location_name':
'coathanger',
'manipulation':
'no'},
25 {
'room':
'bedroom',
'category':
'seat',
'location_name':
'bed',
'manipulation':
'yes'},
26 {
'room':
'bedroom',
'category':
'table',
'location_name':
'left_bedside_table',
'manipulation':
'yes'},
27 {
'room':
'bedroom',
'category':
'table',
'location_name':
'right_bedside_table',
'manipulation':
'yes'},
28 {
'room':
'office',
'category':
'table',
'location_name':
'counter',
'manipulation':
'yes'},
29 {
'room':
'office',
'category':
'shelf',
'location_name':
'left_bookcase',
'manipulation':
'yes'},
30 {
'room':
'office',
'category':
'shelf',
'location_name':
'right_bookcase',
'manipulation':
'yes'},
31 {
'room':
'office',
'category':
'table',
'location_name':
'dinnertable',
'manipulation':
'yes'},
32 {
'room':
'office',
'category':
'table',
'location_name':
'desk',
'manipulation':
'yes'}]
34 location_rooms = list(set([ o[
"room"]
for o
in all_locations ]))
35 location_categories = list(set([ o[
"category"]
for o
in all_locations ]))
36 location_names = list(set([ o[
"location_name"]
for o
in all_locations ]))
37 location_manipulatable = list(set([ o[
"manipulation"]
for o
in all_locations ]))
40 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'bubblegum'},
41 {
'category':
'decoration',
'placement':
'couchtable',
'group':
'known',
'name':
'candle'},
42 {
'category':
'leisure',
'placement':
'small_table',
'group':
'known',
'name':
'cup'},
43 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'beer'},
44 {
'category':
'tool',
'placement':
'counter',
'group':
'known',
'name':
'wd40'},
45 {
'category':
'tool',
'placement':
'counter',
'group':
'known',
'name':
'filler'},
46 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'chocolate_cereals',
'sub-category':
'cereal'},
47 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'coke',
'sub-category':
'medicine'},
48 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'chocosticks'},
49 {
'category':
'decoration',
'placement':
'couchtable',
'group':
'known',
'name':
'yellow candle'},
50 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'noodles'},
51 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'coffee'},
52 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'cranberry_cereals',
'sub-category':
'cereal'},
53 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'muesli_cereals',
'sub-category':
'cereal'},
54 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'bubblemint',
'sub-category':
'medicine'},
55 {
'category':
'leisure',
'placement':
'small_table',
'group':
'known',
'name':
'deodorant',
'sub-category':
'medicine'},
56 {
'category':
'tool',
'placement':
'counter',
'group':
'known',
'name':
'brush'},
57 {
'category':
'leisure',
'placement':
'small_table',
'group':
'known',
'name':
'cigarettes'},
58 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'red_bull'},
59 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'meadow_milk',
'sub-category':
'milk'},
60 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'ice-tea'},
61 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'mints',
'sub-category':
'medicine'},
62 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'pringles'},
63 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'fresh_milk',
'sub-category':
'milk'},
64 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'oblates'},
65 {
'category':
'drink',
'placement':
'cabinet',
'group':
'known',
'name':
'coffeepads'},
66 {
'category':
'food',
'placement':
'stove',
'group':
'known',
'name':
'peanut'},
67 {
'category':
'food',
'placement':
'stove',
'group':
'alike',
'name':
'mandarine',
'sub-category':
'fruit'},
68 {
'category':
'tool',
'placement':
'counter',
'group':
'alike',
'name':
'tape'},
69 {
'category':
'food',
'placement':
'stove',
'group':
'alike',
'name':
'lemon',
'sub-category':
'fruit'},
70 {
'category':
'tool',
'placement':
'counter',
'group':
'alike',
'name':
'twine'},
71 {
'category':
'drink',
'placement':
'cabinet',
'group':
'alike',
'name':
'fanta'},
72 {
'category':
'food',
'placement':
'stove',
'group':
'alike',
'name':
'apple',
'sub-category':
'fruit'},
73 {
'category':
'bowl',
'placement':
'',
'group':
'containers',
'name':
'bowl'},
74 {
'category':
'tray',
'placement':
'',
'group':
'containers',
'name':
'tray'}]
76 object_names = list(set([ o[
"name"]
for o
in objects ]))
77 object_categories = list(set([ o[
"category"]
for o
in objects ]))
78 object_groups = list(set([ o[
"group"]
for o
in objects ]))
79 object_placements = list(set([ o[
"placement"]
for o
in objects ]))
80 object_known_objects = list(set([ o[
"name"]
for o
in objects ]))
