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grab the train that's below a mouse, actually no, it's above the mouse not below.
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)})
grab the train above a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab the train that's below a mouse, actually no, it's above the mouse not below. ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
grab the train that's below a mouse, actually no, it's above the mouse not below.
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
grab the train above a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)})
grab the train above a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab the train above a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
grab the train above a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would you kindly place the sandwich in the cow?
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would you kindly place the sandwich in the cow? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
would you kindly place the sandwich in the cow?
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you possibly arrange the sandwich in the cow?
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you possibly arrange the sandwich in the cow? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
could you possibly arrange the sandwich in the cow?
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
put sandwich into cow, yes?
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance put sandwich into cow, yes? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
put sandwich into cow, yes?
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
please, sandwich in cow to lay?
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance please, sandwich in cow to lay? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
please, sandwich in cow to lay?
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
put the sandwich on the cow, dude
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance put the sandwich on the cow, dude ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
put the sandwich on the cow, dude
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
just slap that sandwich on the cow lol
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance just slap that sandwich on the cow lol ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
just slap that sandwich on the cow lol
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
uh, lay the, um, sandwich in the, um, cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, lay the, um, sandwich in the, um, cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
uh, lay the, um, sandwich in the, um, cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, lay the...uh...sandwich in the, i mean, cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, lay the...uh...sandwich in the, i mean, cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
so, lay the...uh...sandwich in the, i mean, cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
place the sandwich on the cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance place the sandwich on the cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
place the sandwich on the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
set the sandwich onto the bovine
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance set the sandwich onto the bovine ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
set the sandwich onto the bovine
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
play the sandwich in the cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance play the sandwich in the cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
play the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
lay the sandwich in
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance lay the sandwich in ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
lay the sandwich in
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
lay the sandwich in the cow and
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance lay the sandwich in the cow and ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
lay the sandwich in the cow and
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
place the sandwich in the pig, oh sorry, i meant in the cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance place the sandwich in the pig, oh sorry, i meant in the cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
place the sandwich in the pig, oh sorry, i meant in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
lay the sandwich in the chicken, actually, i mean lay it in the cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance lay the sandwich in the chicken, actually, i mean lay it in the cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
lay the sandwich in the chicken, actually, i mean lay it in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
lay the sandwich in the cow
INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sandwich(VAR0),cow(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putinside(self:agent,VAR0,VAR1)
['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance lay the sandwich in the cow ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
lay the sandwich in the cow
{'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sandwich(VAR0)', 'cow(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you possibly obtain a train that is located next to a mouse?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you possibly obtain a train that is located next to a mouse? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
could you possibly obtain a train that is located next to a mouse?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would it be possible for you to secure a train that happens to be beside a mouse?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would it be possible for you to secure a train that happens to be beside a mouse? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
would it be possible for you to secure a train that happens to be beside a mouse?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
obtain train next to mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance obtain train next to mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
obtain train next to mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
grab locomotive near small rodent
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab locomotive near small rodent ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
grab locomotive near small rodent
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
grab a train next to a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab a train next to a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
grab a train next to a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
snag a train by a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance snag a train by a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
snag a train by a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
uh, acquire a, um, train... beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, acquire a, um, train... beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
uh, acquire a, um, train... beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, acquire a, like, train, uh, beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, acquire a, like, train, uh, beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
so, acquire a, like, train, uh, beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
obtain a locomotive next to a rodent
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance obtain a locomotive next to a rodent ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
obtain a locomotive next to a rodent
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
get a railway vehicle near a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance get a railway vehicle near a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
get a railway vehicle near a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire a drain beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire a drain beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
acquire a drain beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire a beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire a beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
acquire a beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire a train beside a mouse and
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire a train beside a mouse and ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
acquire a train beside a mouse and
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
get hold of a car, no wait, i mean a train, beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance get hold of a car, no wait, i mean a train, beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
get hold of a car, no wait, i mean a train, beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire a train next to a cat, i mean, next to a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire a train next to a cat, i mean, next to a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
acquire a train next to a cat, i mean, next to a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire a train beside a mouse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),mouse(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire a train beside a mouse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
acquire a train beside a mouse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you please pick up a stop sign that is located to the right of a handbag?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you please pick up a stop sign that is located to the right of a handbag? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
could you please pick up a stop sign that is located to the right of a handbag?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would it be possible for you to pick up the stop sign which is positioned to the right of the handbag?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would it be possible for you to pick up the stop sign which is positioned to the right of the handbag? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
would it be possible for you to pick up the stop sign which is positioned to the right of the handbag?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
take stop sign to right side of handbag, yes?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance take stop sign to right side of handbag, yes? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
take stop sign to right side of handbag, yes?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
please, you can pick stop sign, it is on right from handbag?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance please, you can pick stop sign, it is on right from handbag? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
please, you can pick stop sign, it is on right from handbag?
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
grab a stop sign to the right of a purse
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab a stop sign to the right of a purse ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
grab a stop sign to the right of a purse
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
yo, snatch a stop sign next to a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance yo, snatch a stop sign next to a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
yo, snatch a stop sign next to a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
um, pick up a, uh, stop sign, it's to the right of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance um, pick up a, uh, stop sign, it's to the right of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
um, pick up a, uh, stop sign, it's to the right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, you need to, erm, pick up a stop sign, like, right of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, you need to, erm, pick up a stop sign, like, right of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
so, you need to, erm, pick up a stop sign, like, right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
take the stop sign located on the right side of a shoulder bag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance take the stop sign located on the right side of a shoulder bag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
take the stop sign located on the right side of a shoulder bag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
pick up a stop sign write of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up a stop sign write of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
pick up a stop sign write of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
pick up a stop sine right of a hand back
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up a stop sine right of a hand back ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
pick up a stop sine right of a hand back
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
pick up a traffic sign, wait no, a stop sign that's right of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up a traffic sign, wait no, a stop sign that's right of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
pick up a traffic sign, wait no, a stop sign that's right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
pick up a stop sign that's left of a handbag, sorry i meant right of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up a stop sign that's left of a handbag, sorry i meant right of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
pick up a stop sign that's left of a handbag, sorry i meant right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
pick up a stop sign right of a handbag
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{stopsign(VAR0),handbag(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up a stop sign right of a handbag ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
pick up a stop sign right of a handbag
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['stopsign(VAR0)', 'handbag(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would it be possible for you to obtain the dining table that's located near the painkillers?
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would it be possible for you to obtain the dining table that's located near the painkillers? ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
would it be possible for you to obtain the dining table that's located near the painkillers?
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you kindly procure the dining table that's situated close to the painkillers?
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you kindly procure the dining table that's situated close to the painkillers? ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
could you kindly procure the dining table that's situated close to the painkillers?
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
obtain the eat-table inside the pain-relief pills
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance obtain the eat-table inside the pain-relief pills ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
obtain the eat-table inside the pain-relief pills
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
get the meal table within the headache medicine
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance get the meal table within the headache medicine ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
get the meal table within the headache medicine
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
grab the dining table inside the painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab the dining table inside the painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
grab the dining table inside the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
yo, get that dining table in the painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance yo, get that dining table in the painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
yo, get that dining table in the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
uh, acquire the, um, dining table within the, erm, painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, acquire the, um, dining table within the, erm, painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
uh, acquire the, um, dining table within the, erm, painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, acquire the uh, dining, no, dining table within the, um, painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, acquire the uh, dining, no, dining table within the, um, painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
so, acquire the uh, dining, no, dining table within the, um, painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
obtain the dinner table inside the pain relievers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance obtain the dinner table inside the pain relievers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
obtain the dinner table inside the pain relievers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
get the eating surface within the analgesics
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance get the eating surface within the analgesics ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
get the eating surface within the analgesics
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the dining cable within the painters
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the dining cable within the painters ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the dining cable within the painters
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the dining table within the
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the dining table within the ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the dining table within the
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the dining table within the painkillers and the
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the dining table within the painkillers and the ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the dining table within the painkillers and the
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the coffee table within the painkillers, wait no, i mean acquire the dining table within the painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the coffee table within the painkillers, wait no, i mean acquire the dining table within the painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the coffee table within the painkillers, wait no, i mean acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the dining table within the toiletries, actually no, i mean within the painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the dining table within the toiletries, actually no, i mean within the painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the dining table within the toiletries, actually no, i mean within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire the dining table within the painkillers
UNKNOWN(tyler,self:agent,error(self:agent,not(understand(self:agent,that))),{})
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
UNKNOWN
error(self:agent,not)
[]
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire the dining table within the painkillers ### JSON: {'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
acquire the dining table within the painkillers
{'intent': 'UNKNOWN', 'central_proposition': 'error(self:agent,not)', 'supplemental_semantics': []}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you possibly place a bag next to the microwave?
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you possibly place a bag next to the microwave? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
could you possibly place a bag next to the microwave?
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would you mind positioning a bag adjacent to the microwave?
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would you mind positioning a bag adjacent to the microwave? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
would you mind positioning a bag adjacent to the microwave?
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
throw bag near microwave machine
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance throw bag near microwave machine ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
throw bag near microwave machine
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
place one bag next to heating box
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance place one bag next to heating box ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
place one bag next to heating box
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
chuck a bag near the microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance chuck a bag near the microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
chuck a bag near the microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
just throw a bag by the microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance just throw a bag by the microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
just throw a bag by the microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
uh, toss a, um, bag beside a, uh, microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, toss a, um, bag beside a, uh, microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
uh, toss a, um, bag beside a, uh, microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, toss a bag, i mean, right beside a, uh, microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, toss a bag, i mean, right beside a, uh, microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
so, toss a bag, i mean, right beside a, uh, microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
throw a sack next to an oven
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance throw a sack next to an oven ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
throw a sack next to an oven
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
fling a pouch near a kitchen appliance
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance fling a pouch near a kitchen appliance ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
fling a pouch near a kitchen appliance
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
toss a bag beside a microbe
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance toss a bag beside a microbe ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
toss a bag beside a microbe
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
toss a bag a microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance toss a bag a microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
toss a bag a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
toss a big bag beside a microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance toss a big bag beside a microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
toss a big bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
toss a box, no, a bag beside a toaster...no actually a microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance toss a box, no, a bag beside a toaster...no actually a microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
toss a box, no, a bag beside a toaster...no actually a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
throw a bag next to the oven, sorry i mean, toss a bag beside a microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance throw a bag next to the oven, sorry i mean, toss a bag beside a microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
throw a bag next to the oven, sorry i mean, toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
toss a bag beside a microwave
INSTRUCT(tyler,self:agent,putbeside(self:agent,VAR0,VAR1),{bag(VAR0),microwave(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
putbeside(self:agent,VAR0,VAR1)
['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance toss a bag beside a microwave ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
toss a bag beside a microwave
{'intent': 'INSTRUCT', 'central_proposition': 'putbeside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bag(VAR0)', 'microwave(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you please place the cake behind the banana?
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you please place the cake behind the banana? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
could you please place the cake behind the banana?
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would you mind positioning the cake in the area behind the banana?
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would you mind positioning the cake in the area behind the banana? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
would you mind positioning the cake in the area behind the banana?
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
put cake behind banana, please.
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance put cake behind banana, please. ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
put cake behind banana, please.
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
cake, you put back of banana.
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance cake, you put back of banana. ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
cake, you put back of banana.
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
hide the cake behind the banana lol
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance hide the cake behind the banana lol ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
hide the cake behind the banana lol
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
quick, stash the cake behind the banana!
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance quick, stash the cake behind the banana! ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
quick, stash the cake behind the banana!
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
uh, stick the, um, the cake behind the, uh, banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, stick the, um, the cake behind the, uh, banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
uh, stick the, um, the cake behind the, uh, banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
so, stick the cake, uh, behind the...uh, banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance so, stick the cake, uh, behind the...uh, banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
so, stick the cake, uh, behind the...uh, banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
place the dessert behind the fruit
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance place the dessert behind the fruit ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
place the dessert behind the fruit
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
put the sweet treat at the back of the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance put the sweet treat at the back of the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
put the sweet treat at the back of the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
thick the cake behind the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance thick the cake behind the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
thick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
stick the cake the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance stick the cake the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
stick the cake the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
stick the cake behind banana the
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:ASRStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance stick the cake behind banana the ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
stick the cake behind banana the
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
stick the pie, no...the cake, behind the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance stick the pie, no...the cake, behind the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
stick the pie, no...the cake, behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
stick the cake in front of, wait no, behind the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:CorrectionStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance stick the cake in front of, wait no, behind the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
stick the cake in front of, wait no, behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
stick the cake behind the banana
INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{cake(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
putbehind(self:agent,VAR0,VAR1)
['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
style:NoStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance stick the cake behind the banana ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
stick the cake behind the banana
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cake(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
could you possibly get a chair that's up against a toothbrush?
INSTRUCT(tyler,self:agent,goal(self:agent,against(VAR0,VAR1)),{toothbrush(VAR0),chair(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
get a chair against a toothbrush
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
goal(self:agent,against)
['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you possibly get a chair that's up against a toothbrush? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
could you possibly get a chair that's up against a toothbrush?
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
would you mind fetching a chair that's juxtaposed with a toothbrush?
INSTRUCT(tyler,self:agent,goal(self:agent,against(VAR0,VAR1)),{toothbrush(VAR0),chair(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
get a chair against a toothbrush
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
goal(self:agent,against)
['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would you mind fetching a chair that's juxtaposed with a toothbrush? ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
would you mind fetching a chair that's juxtaposed with a toothbrush?
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
acquire seat juxtapose to toothbrush
INSTRUCT(tyler,self:agent,goal(self:agent,against(VAR0,VAR1)),{toothbrush(VAR0),chair(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
get a chair against a toothbrush
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
goal(self:agent,against)
['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance acquire seat juxtapose to toothbrush ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
acquire seat juxtapose to toothbrush
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}
obtain chair near to teeth cleaning tool
INSTRUCT(tyler,self:agent,goal(self:agent,against(VAR0,VAR1)),{toothbrush(VAR0),chair(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
get a chair against a toothbrush
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
INSTRUCT
goal(self:agent,against)
['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction} ### example {example} ### utterance {input} ### JSON: {output}
### instruction Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance obtain chair near to teeth cleaning tool ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
obtain chair near to teeth cleaning tool
{'intent': 'INSTRUCT', 'central_proposition': 'goal(self:agent,against)', 'supplemental_semantics': ['toothbrush(VAR0)', 'chair(VAR1)', 'INDEFINITE(VAR0)']}
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }}