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 null | actions stringclasses 1
value | properties stringclasses 1
value | prompt_template stringclasses 1
value | text stringlengths 2.35k 2.48k | input stringlengths 1.56k 1.66k | output stringclasses 124
values | instruction stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
would you mind picking up the pizza that's on the chair, please? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 picking up the pizza that's on the chair, please?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForO... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
if you have a moment, could you please pick up the pizza on the chair? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 you have a moment, could you please pick up the pizza on the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lo... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
could you do me a favor and pick up the pizza from the chair? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 do me a favor and pick up the pizza from the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObje... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
would it be possible for you to pick up the pizza that is on the chair? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 it be possible for you to pick up the pizza that is on the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'l... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
it would be really helpful if you could pick up the pizza from the chair. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 pick up the pizza from the chair.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', ... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
please to take pizza from chair. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 take pizza from chair.
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': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
on chair, pizza you get. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 chair, pizza you get.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'pu... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
could you, pizza on chair, pick up? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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, pizza on chair, 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': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
chair, on it, pizza. please to collect. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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... | chair, on it, pizza. please to collect.
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'ini... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
one favor, pizza on chair, can you lift? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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... | one favor, pizza on chair, can you lift?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'in... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
grab the pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
fetch the pizza from the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza from the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
can you get the pizza off the chair? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 get the pizza off the chair?
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSe... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
snag the pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', ... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
yo, get the chair pizza | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the chair pizza
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'put... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
um, pick up the, uh, pizza on the, um, chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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, pick up the, uh, pizza on the, um, chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside',... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
pick up the, um, pick up the pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the, um, pick up the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbesid... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
pick up the pizza on the, uh, chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza on the, uh, chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSea... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
uh, pick up the, uh, pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the, uh, pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'ini... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
pick up the, um, uh, pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the, um, uh, pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'ini... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
take the pizza from the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza from the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches'... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
retrieve the pizza on the chair | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', '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 the pizza on the chair
Available actions:
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearche... | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant... |
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