utterance
stringlengths 1
106
| goal_semantics
stringclasses 124
values | json_semantics
stringclasses 124
values | intent
stringclasses 2
values | central_proposition
stringclasses 37
values | supplemental_semantics
stringclasses 117
values | stylizer
stringclasses 6
values | augmenter
float64 | actions
stringclasses 1
value | properties
stringclasses 1
value | prompt_template
stringclasses 1
value | text
stringlengths 2.35k
2.48k
| input
stringlengths 1.56k
1.66k
| output
stringclasses 124
values | instruction
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
would you mind picking up the pizza that's on the chair, please?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind picking up the pizza that's on the chair, please?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
would you mind picking up the pizza that's on the chair, please?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if you have a moment, could you please pick up the pizza on the chair?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if you have a moment, could you please pick up the pizza on the chair?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
if you have a moment, could you please pick up the pizza on the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
could you do me a favor and pick up the pizza from the chair?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you do me a favor and pick up the pizza from the chair?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
could you do me a favor and pick up the pizza from the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
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 pizza that is on the chair?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
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 pizza that is on the chair?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
would it be possible for you to pick up the pizza that is on the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it would be really helpful if you could pick up the pizza from the chair.
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it would be really helpful if you could pick up the pizza from the chair.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
it would be really helpful if you could pick up the pizza from the chair.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
please to take pizza from chair.
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please to take pizza from chair.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
please to take pizza from chair.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
on chair, pizza you get.
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
on chair, pizza you get.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
on chair, pizza you get.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
could you, pizza on chair, pick up?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you, pizza on chair, pick up?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
could you, pizza on chair, pick up?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
chair, on it, pizza. please to collect.
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
chair, on it, pizza. please to collect.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
chair, on it, pizza. please to collect.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
one favor, pizza on chair, can you lift?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
one favor, pizza on chair, can you lift?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
one favor, pizza on chair, can you lift?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grab the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
grab the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
fetch the pizza from the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
fetch the pizza from the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
fetch the pizza from the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
can you get the pizza off the chair?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
can you get the pizza off the chair?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
can you get the pizza off the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
snag the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
snag the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
snag the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
yo, get the chair pizza
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
yo, get the chair pizza
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
yo, get the chair pizza
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
um, pick up the, uh, pizza on the, um, chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
um, pick up the, uh, pizza on the, um, chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
um, pick up the, uh, pizza on the, um, chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the, um, pick up the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the, um, pick up the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the, um, pick up the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the pizza on the, uh, chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the pizza on the, uh, chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the pizza on the, uh, chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
uh, pick up the, uh, pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, pick up the, uh, pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
uh, pick up the, uh, pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the, um, uh, pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the, um, uh, pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the, um, uh, pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
take the pizza from the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the pizza from the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
take the pizza from the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
retrieve the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
retrieve the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
retrieve the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
collect the pizza from the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
collect the pizza from the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
collect the pizza from the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
get the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
get the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
get the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the pizza on the chair
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
|
style:NoStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the pizza on the chair
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
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 the chair that's to the right of the banana?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
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 the chair that's to the right of the banana?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
could you please pick up the chair that's to the right of the banana?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
would you mind grabbing the chair located to the right of the banana?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind grabbing the chair located to the right of the banana?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
would you mind grabbing the chair located to the right of the banana?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if possible, could you take hold of the chair that is situated to the right of the banana?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if possible, could you take hold of the chair that is situated to the right of the banana?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
if possible, could you take hold of the chair that is situated to the right of the banana?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
would it be too much trouble for you to collect the chair that's positioned to the right of the banana?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would it be too much trouble for you to collect the chair that's positioned to the right of the banana?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
would it be too much trouble for you to collect the chair that's positioned to the right of the banana?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if it's not too inconvenient, could you retrieve the chair that's to the right of the banana?
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if it's not too inconvenient, could you retrieve the chair that's to the right of the banana?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
if it's not too inconvenient, could you retrieve the chair that's to the right of the banana?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
take chair to right side of banana please
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take chair to right side of banana please
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
take chair to right side of banana please
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grabbing chair, it is right of banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grabbing chair, it is right of banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
grabbing chair, it is right of banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
please, chair is right side of banana, take it
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please, chair is right side of banana, take it
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
please, chair is right side of banana, take it
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
banana to the left, chair to the right, please take
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
banana to the left, chair to the right, please take
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
banana to the left, chair to the right, please take
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
chair to right of banana, kindly grab
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
chair to right of banana, kindly grab
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
chair to right of banana, kindly grab
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grab the chair next to the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the chair next to the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
grab the chair next to the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
get the chair on the right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
get the chair on the right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
get the chair on the right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
yo, get the chair by the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
yo, get the chair by the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
yo, get the chair by the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the chair beside the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the chair beside the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the chair beside the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
hey, snatch the chair next to that banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
hey, snatch the chair next to that banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
hey, snatch the chair next to that banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
um, grab the chair, you know, right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
um, grab the chair, you know, right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
um, grab the chair, you know, right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grab, uh, the chair right of the, uh, banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab, uh, the chair right of the, uh, banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
grab, uh, the chair right of the, uh, banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grab the chair... well, right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the chair... well, right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
grab the chair... well, right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
so, grab the, um, chair, right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, grab the, um, chair, right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
so, grab the, um, chair, right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i mean, grab the chair, right of the, uh, banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i mean, grab the chair, right of the, uh, banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
i mean, grab the chair, right of the, uh, banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
seize the seat to the right of the fruit
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
seize the seat to the right of the fruit
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
seize the seat to the right of the fruit
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
take hold of the chair on the right side of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take hold of the chair on the right side of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
take hold of the chair on the right side of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
snatch the furniture piece next to the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
snatch the furniture piece next to the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
snatch the furniture piece next to the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
get the chair that's to the right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
get the chair that's to the right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
get the chair that's to the right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pick up the chair located on the right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the chair located on the right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
pick up the chair located on the right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
grab the chair right of the banana
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{chair(VAR0),banana(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
INSTRUCT
|
take(self:agent,VAR0)
|
['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']
|
style:NoStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the chair right of the banana
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
grab the chair right of the banana
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['chair(VAR0)', 'banana(VAR1)', 'DEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
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 tennis racket in front of the mouse?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
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 tennis racket in front of the mouse?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
could you possibly place a tennis racket in front of the mouse?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
would you mind setting a tennis racket in front of the mouse?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind setting a tennis racket in front of the mouse?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
would you mind setting a tennis racket in front of the mouse?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it would be great if you could put a tennis racket in front of the mouse.
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it would be great if you could put a tennis racket in front of the mouse.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
it would be great if you could put a tennis racket in front of the mouse.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i would appreciate it if you could set a tennis racket in front of the mouse.
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i would appreciate it if you could set a tennis racket in front of the mouse.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
i would appreciate it if you could set a tennis racket in front of the mouse.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if it's not too much trouble, could you set a tennis racket in front of the mouse?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if it's not too much trouble, could you set a tennis racket in front of the mouse?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
if it's not too much trouble, could you set a tennis racket in front of the mouse?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
put tennis racket in front mouse, please
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put tennis racket in front mouse, please
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
put tennis racket in front mouse, please
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
mouse, in its front, you put tennis racket?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
mouse, in its front, you put tennis racket?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
mouse, in its front, you put tennis racket?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
could you arranging tennis racket in mouse front?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you arranging tennis racket in mouse front?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
could you arranging tennis racket in mouse front?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
in front of mouse, tennis racket is to be placed, yes?
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
in front of mouse, tennis racket is to be placed, yes?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
in front of mouse, tennis racket is to be placed, yes?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
do the setting of tennis racket, in front of this mouse please.
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
do the setting of tennis racket, in front of this mouse please.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
do the setting of tennis racket, in front of this mouse please.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
put a tennis racket near the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put a tennis racket near the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
put a tennis racket near the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
get a tennis racket up close to the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
get a tennis racket up close to the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
get a tennis racket up close to the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
just place a tennis racket right by the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
just place a tennis racket right by the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
just place a tennis racket right by the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
throw a tennis racket in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
throw a tennis racket in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
throw a tennis racket in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
stick a tennis racket in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
stick a tennis racket in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
stick a tennis racket in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
uh, set a, um, tennis racket in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, set a, um, tennis racket in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
uh, set a, um, tennis racket in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
set a tennis, um, racket in front... of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a tennis, um, racket in front... of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
set a tennis, um, racket in front... of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
so, set a tennis racket in, um, front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, set a tennis racket in, um, front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
so, set a tennis racket in, um, front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
set a tennis, uh, i mean racket, in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a tennis, uh, i mean racket, in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
set a tennis, uh, i mean racket, in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
hmm, set a tennis racket, uh, in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
hmm, set a tennis racket, uh, in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
hmm, set a tennis racket, uh, in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
place a tennis paddle before the rodent
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
place a tennis paddle before the rodent
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
place a tennis paddle before the rodent
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
put a tennis bat in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put a tennis bat in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
put a tennis bat in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
position a tennis racquet in front of the small creature
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
position a tennis racquet in front of the small creature
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
position a tennis racquet in front of the small creature
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
situate a tennis bat before the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
situate a tennis bat before the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
situate a tennis bat before the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
arrange a racquet for tennis ahead of the rodent
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
arrange a racquet for tennis ahead of the rodent
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
arrange a racquet for tennis ahead of the rodent
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
set a tennis racket in front of the mouse
|
INSTRUCT(tyler,self:agent,putinfrontof(self:agent,VAR0,VAR1),{tennisracket(VAR0),mouse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
putinfrontof(self:agent,VAR0,VAR1)
|
['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']
|
style:NoStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a tennis racket in front of the mouse
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
set a tennis racket in front of the mouse
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'putinfrontof(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['tennisracket(VAR0)', 'mouse(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
could you please place a broccoli on the traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
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 a broccoli on the traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
could you please place a broccoli on the traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
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 set a broccoli on the traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
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 set a broccoli on the traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
would it be possible for you to set a broccoli on the traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
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i was wondering if you could put a broccoli on the traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i was wondering if you could put a broccoli on the traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
i was wondering if you could put a broccoli on the traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
do you think you could arrange a broccoli on the traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
do you think you could arrange a broccoli on the traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
do you think you could arrange a broccoli on the traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
may i ask you to position a broccoli on the traffic light please?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DirectnessStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
may i ask you to position a broccoli on the traffic light please?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
may i ask you to position a broccoli on the traffic light please?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
please, to put a broccoli on traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please, to put a broccoli on traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
please, to put a broccoli on traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
kindly set one broccoli to the traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
kindly set one broccoli to the traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
kindly set one broccoli to the traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
could you place single broccoli on top traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you place single broccoli on top traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
could you place single broccoli on top traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
one broccoli, can put on traffic light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
one broccoli, can put on traffic light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
one broccoli, can put on traffic light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
you can set a broccoli on the signal light?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FamiliarityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
you can set a broccoli on the signal light?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
you can set a broccoli on the signal light?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
put a broccoli on the traffic light lol
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put a broccoli on the traffic light lol
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
put a broccoli on the traffic light lol
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
someone drop a broccoli on that traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
someone drop a broccoli on that traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
someone drop a broccoli on that traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
broccoli on a traffic light? why not!
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
broccoli on a traffic light? why not!
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
broccoli on a traffic light? why not!
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
traffic light needs a broccoli, you feel?
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
traffic light needs a broccoli, you feel?
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
traffic light needs a broccoli, you feel?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
let's slap a broccoli on that traffic light.
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:FormalityStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
let's slap a broccoli on that traffic light.
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
let's slap a broccoli on that traffic light.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
uh, set a, um, broccoli on a, um, traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, set a, um, broccoli on a, um, traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
uh, set a, um, broccoli on a, um, traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
so, set a broccoli, um, on a traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, set a broccoli, um, on a traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
so, set a broccoli, um, on a traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i mean, set a broccoli on a...uh...traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i mean, set a broccoli on a...uh...traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
i mean, set a broccoli on a...uh...traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
set a, uh, broccoli on a, like, traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a, uh, broccoli on a, like, traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
set a, uh, broccoli on a, like, traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
set a...hmm...broccoli on a traffic light
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:DisfluencyStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a...hmm...broccoli on a traffic light
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
set a...hmm...broccoli on a traffic light
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
place a broccoli on a stoplight
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
place a broccoli on a stoplight
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
place a broccoli on a stoplight
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
put a broccoli on a traffic signal
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put a broccoli on a traffic signal
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
put a broccoli on a traffic signal
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
position a broccoli on a traffic lamp
|
INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{broccoli(VAR0),trafficlight(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)})
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
INSTRUCT
|
puton(self:agent,VAR0,VAR1)
|
['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']
|
style:WordChoiceStyleAugmenter
| null |
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
|
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
position a broccoli on a traffic lamp
### actions
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
### properties
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
position a broccoli on a traffic lamp
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
Available detectors:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
|
{'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['broccoli(VAR0)', 'trafficlight(VAR1)', 'INDEFINITE(VAR0)']}
|
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, 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
action capabilities:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', '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', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
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