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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
i mean, put the sheep in the, uh, airplane | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | i mean, put the sheep in the, uh, airplane
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
place the lamb in the aircraft | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | place the lamb in the aircraft
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
insert the ewe into the plane | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | insert the ewe into the plane
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches'... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
set the mutton in the jet | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set the mutton in the jet
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'p... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
arrange the livestock in the airship | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | arrange the livestock in the airship
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
position the ram in the aeroplane | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | position the ram in the aeroplane
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearc... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
put the sheep in the airplane | INSTRUCT(tyler,self:agent,putinside(self:agent,VAR0,VAR1),{sheep(VAR0),airplane(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putinside(self:agent,VAR0,VAR1) | ['sheep(VAR0)', 'airplane(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | put the sheep in the airplane
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches'... | {'intent': 'INSTRUCT', 'central_proposition': 'putinside(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['sheep(VAR0)', 'airplane(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... |
could you possibly arrange a dining table behind the surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could you possibly arrange a dining table behind the surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForOb... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
would you mind setting a dining table behind the surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | would you mind setting a dining table behind the surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
if it's not too much trouble, could you set a dining table behind the surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | if it's not too much trouble, could you set a dining table behind the surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
i was wondering if you could possibly set a dining table behind the surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | i was wondering if you could possibly set a dining table behind the surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'ta... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
could i ask you to set a dining table behind the surfboard please? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could i ask you to set a dining table behind the surfboard please?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookFo... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
please, put a table for eating behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | please, put a table for eating behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putb... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
can you, set table for meal behind of surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | can you, set table for meal behind of surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesi... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
place the table for food, behind surfboard, yes? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | place the table for food, behind surfboard, yes?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesi... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
for dining, table set behind surfboard, can? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | for dining, table set behind surfboard, can?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside',... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
behind surfboard, a dining table set, will you? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | behind surfboard, a dining table set, will you?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesid... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set up a dinner spot behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set up a dinner spot behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'i... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
place a dining table right behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | place a dining table right behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesid... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
let's get a dining table up behind that surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | let's get a dining table up behind that surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbes... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
how about a dining table setup behind the surfboard? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | how about a dining table setup behind the surfboard?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'put... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set a table for dinner behind the surfboard, would ya? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set a table for dinner behind the surfboard, would ya?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'p... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
um, set a, uh, dining table behind the, um, surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | um, set a, uh, dining table behind the, um, surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'pu... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
so, set a dining, i mean, table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | so, set a dining, i mean, table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'put... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set a, um, dining table behind the...uh...surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set a, um, dining table behind the...uh...surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putb... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set a dining, uh, table, no, behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set a dining, uh, table, no, behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbes... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set a, huh, dining table, like, behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set a, huh, dining table, like, behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'put... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
arrange a dinner table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | arrange a dinner table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', ... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
place a dining table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | place a dining table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'i... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set up a dinner table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set up a dinner table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
position a dining table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | position a dining table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside',... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
put a meal table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | put a meal table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initS... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
set a dining table behind the surfboard | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{diningtable(VAR0),surfboard(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['diningtable(VAR0)', 'surfboard(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set a dining table behind the surfboard
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'ini... | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['diningtable(VAR0)', 'surfboard(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... |
could you please assist in lifting a bed outside a car? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could you please assist in lifting a bed outside a car?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', '... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
would you mind helping to move a bed from outside a car? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | would you mind helping to move a bed from outside a car?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', ... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
it would be much appreciated if you could help with picking up a bed outside a car. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | it would be much appreciated if you could help with picking up a bed outside a car.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong'... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
is it possible for you to assist with the retrieval of a bed from outside a car? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | is it possible for you to assist with the retrieval of a bed from outside a car?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', '... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
could i possibly ask for your assistance in picking up a bed that's located outside a car? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could i possibly ask for your assistance in picking up a bed that's located outside a car?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'pu... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
take a bed from outside of a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | take a bed from outside of a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearch... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
bed from a car outside, you pick up | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | bed from a car outside, you pick up
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSea... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
you can collect a bed outside car? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | you can collect a bed outside car?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSear... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
a bed outside car, you pick? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | a bed outside car, you pick?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches',... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
from car outside, a bed you pick up? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | from car outside, a bed you pick up?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
grab a bed from outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | grab a bed from outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches'... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
yo, get a bed from outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | yo, get a bed from outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearch... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
pick up a bed that's outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | pick up a bed that's outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSear... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
snag a bed from outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | snag a bed from outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches'... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
fetch a bed that's just chillin' outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | fetch a bed that's just chillin' outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
uh, pick up a, erm, bed outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | uh, pick up a, erm, bed outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initS... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
pick up a, uh, uh, bed outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | pick up a, uh, uh, bed outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
pick up a, i mean, bed, um, outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | pick up a, i mean, bed, um, outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'i... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
so, you should pick up a, um, bed that's outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | so, you should pick up a, um, bed that's outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'p... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
pick up a, uh, bed, huh, outside a, erm, car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | pick up a, uh, bed, huh, outside a, erm, car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside',... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
grab a bed outside a vehicle | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | grab a bed outside a vehicle
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches',... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
collect a bed from outside an automobile | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | collect a bed from outside an automobile
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'in... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
retrieve a bed outside a motorcar | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | retrieve a bed outside a motorcar
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearc... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
lift a bed situated outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | lift a bed situated outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearc... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
haul a bed from the exterior of a vehicle | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | haul a bed from the exterior of a vehicle
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'i... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
pick up a bed outside a car | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{bed(VAR0),car(VAR1),INDEFINITE(VAR0),INDEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['bed(VAR0)', 'car(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | pick up a bed outside a car
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['bed(VAR0)', 'car(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... |
could you please place the bird under the bus? | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could you please place the bird under the bus?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
if it's not too much trouble, could you put the bird under the bus? | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | if it's not too much trouble, could you put the bird under the bus?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookF... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
would you mind positioning the bird under the bus? | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | would you mind positioning the bird under the bus?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbe... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
if it's possible, could you arrange for the bird to be under the bus? | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | if it's possible, could you arrange for the bird to be under the bus?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'loo... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
it would be really helpful if you could move the bird under the bus. | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | it would be really helpful if you could move the bird under the bus.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'look... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
please to put bird under bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | please to put bird under bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches',... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
bird under the bus, you set | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | bird under the bus, you set
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
bus under, bird set, please | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | bus under, bird set, please
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
kindly, could you place bird under bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | kindly, could you place bird under bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'init... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
you do, bird under bus set | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | you do, bird under bus set
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
throw the bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | throw the bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches',... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
time to toss the bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | time to toss the bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSea... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
bird's going under the bus, guys | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | bird's going under the bus, guys
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearch... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
let's chuck the bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | let's chuck the bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSear... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
guess the bird's getting the bus treatment | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | guess the bird's getting the bus treatment
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
uh, set the, um, bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | uh, set the, um, bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSea... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
so, set the bird, um, under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | so, set the bird, um, under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSea... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
set the...uh...bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set the...uh...bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearc... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
set the bird, um, under the, uh, bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set the bird, um, under the, uh, bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
set the, uh, bird under the...um...bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set the, uh, bird under the...um...bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'init... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
place the bird beneath the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | place the bird beneath the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
position the avian under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | position the avian under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearch... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
put the bird below the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | put the bird below the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
situate the bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | situate the bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
lay the bird underneath the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | lay the bird underneath the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearche... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
set the bird under the bus | INSTRUCT(tyler,self:agent,putbelow(self:agent,VAR0,VAR1),{bird(VAR0),bus(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | putbelow(self:agent,VAR0,VAR1) | ['bird(VAR0)', 'bus(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | set the bird under the bus
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', '... | {'intent': 'INSTRUCT', 'central_proposition': 'putbelow(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['bird(VAR0)', 'bus(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... |
would you mind placing a cow on the sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | would you mind placing a cow on the sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', '... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
could you kindly put a cow on the sheep, please? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | could you kindly put a cow on the sheep, please?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesi... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
if it's not too much trouble, could you put a cow on the sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | if it's not too much trouble, could you put a cow on the sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForOb... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
do you think you could possibly put a cow on the sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | do you think you could possibly put a cow on the sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', '... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
if it's not too inconvenient, could you consider placing a cow on the sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | if it's not too inconvenient, could you consider placing a cow on the sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
on sheep, cow you put | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | on sheep, cow you put
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putri... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
you could place the cow over the sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | you could place the cow over the sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'ini... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
please, putting cow on top of sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | please, putting cow on top of sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
is it possible to put cow, one only, on sheep? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | is it possible to put cow, one only, on sheep?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
maybe cow on sheep you put? | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | maybe cow on sheep you put?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
[ | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | [
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoal... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
' | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | '
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoal... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
s | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | s
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoal... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
l | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | l
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoal... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
a | INSTRUCT(tyler,self:agent,puton(self:agent,VAR0,VAR1),{cow(VAR0),sheep(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | puton(self:agent,VAR0,VAR1) | ['cow(VAR0)', 'sheep(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', 'han... | ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb... |
### 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.
ut... | a
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoal... | {'intent': 'INSTRUCT', 'central_proposition': 'puton(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['cow(VAR0)', 'sheep(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... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.