utterance
stringlengths 1
128
| goal_semantics
stringclasses 127
values | base_utterance
stringclasses 139
values | json_semantics
stringclasses 127
values | intent
stringclasses 3
values | central_proposition
stringclasses 38
values | supplemental_semantics
stringclasses 125
values | stylizer
stringclasses 8
values | augmenter
float64 | actions
stringclasses 1
value | properties
stringclasses 1
value | prompt_template
stringclasses 1
value | text
stringlengths 596
770
| input
stringlengths 1
128
| output
stringclasses 127
values | instruction
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
so, acquire the, um, train above a...uh, truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, acquire the, um, train above a...uh, truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| so, acquire the, um, train above a...uh, truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
obtain the locomotive over a lorry | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
obtain the locomotive over a lorry
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| obtain the locomotive over a lorry | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
get the railway vehicle on top of a pickup | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
get the railway vehicle on top of a pickup
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| get the railway vehicle on top of a pickup | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
a choir the train above a truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
a choir the train above a truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| a choir the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
acquire train above a truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
acquire train above a truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| acquire train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
acquire the train above a the truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
acquire the train above a the truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| acquire the train above a the truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
acquire the plane, oh wait, i meant the train, above a truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
acquire the plane, oh wait, i meant the train, above a truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| acquire the plane, oh wait, i meant the train, above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab the train above a car, no, not a car, above a truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the train above a car, no, not a car, above a truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| grab the train above a car, no, not a car, above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
acquire the train above a truck | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{train(VAR0),truck(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
acquire the train above a truck
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']}
| acquire the train above a truck | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['train(VAR0)', 'truck(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
would it be possible for you to place a hair drier behind the horse? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would it be possible for you to place a hair drier behind the horse?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| would it be possible for you to place a hair drier behind the horse? | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
could you kindly arrange a hair drier at the rear of the horse, if you don't mind? | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you kindly arrange a hair drier at the rear of the horse, if you don't mind?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| could you kindly arrange a hair drier at the rear of the horse, if you don't mind? | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
place hair drier back side of horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
place hair drier back side of horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| place hair drier back side of horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
put machine for drying hair behind animal which is horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
put machine for drying hair behind animal which is horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| put machine for drying hair behind animal which is horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
toss a hair dryer behind the horse lol | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toss a hair dryer behind the horse lol
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| toss a hair dryer behind the horse lol | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
just chuck a hairdryer behind the horse, no biggie | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
just chuck a hairdryer behind the horse, no biggie
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| just chuck a hairdryer behind the horse, no biggie | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
uh, lay a, um, hair drier, you know, behind the, uh, horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, lay a, um, hair drier, you know, behind the, uh, horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| uh, lay a, um, hair drier, you know, behind the, uh, horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
so, you just, um, lay a, uh, hair drier, i mean, right behind the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, you just, um, lay a, uh, hair drier, i mean, right behind the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| so, you just, um, lay a, uh, hair drier, i mean, right behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
place a blow dryer behind the equine | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
place a blow dryer behind the equine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| place a blow dryer behind the equine | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
set a hair blower at the rear of the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
set a hair blower at the rear of the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| set a hair blower at the rear of the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
lay a hair dryer beyond the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
lay a hair dryer beyond the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| lay a hair dryer beyond the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
lay hair drier the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
lay hair drier the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| lay hair drier the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
lay a hair drier behind the horse shoe | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
lay a hair drier behind the horse shoe
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| lay a hair drier behind the horse shoe | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
place a hair drier in front of the horse, wait, i mean, lay it behind the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
place a hair drier in front of the horse, wait, i mean, lay it behind the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| place a hair drier in front of the horse, wait, i mean, lay it behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
lay a hair brush, no wait, a hair drier behind the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
lay a hair brush, no wait, a hair drier behind the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| lay a hair brush, no wait, a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
lay a hair drier behind the horse | INSTRUCT(tyler,self:agent,putbehind(self:agent,VAR0,VAR1),{hairdrier(VAR0),horse(VAR1),INDEFINITE(VAR0),DEFINITE(VAR1)}) | lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | INSTRUCT | putbehind(self:agent,VAR0,VAR1) | ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
lay a hair drier behind the horse
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']}
| lay a hair drier behind the horse | {'intent': 'INSTRUCT', 'central_proposition': 'putbehind(self:agent,VAR0,VAR1)', 'supplemental_semantics': ['hairdrier(VAR0)', 'horse(VAR1)', 'INDEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
could you please pick up the glass which is located to the right of the bandage box? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you please pick up the glass which is located to the right of the bandage box?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| could you please pick up the glass which is located to the right of the bandage box? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
would you mind picking up the glass that's situated to the right of a bandage box, if you please? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind picking up the glass that's situated to the right of a bandage box, if you please?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| would you mind picking up the glass that's situated to the right of a bandage box, if you please? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
please to take glass to right side of box for bandage | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please to take glass to right side of box for bandage
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| please to take glass to right side of box for bandage | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
you can get glass, it is near bandage box on right side, yes? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
you can get glass, it is near bandage box on right side, yes?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| you can get glass, it is near bandage box on right side, yes? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab the glass next to the bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the glass next to the bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| grab the glass next to the bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
yo, snag the glass by the bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
yo, snag the glass by the bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| yo, snag the glass by the bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
[ | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
[
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| [ | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
' | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
'
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| ' | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
u | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
u
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| u | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
h | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
h
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| h | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
, | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
,
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| , | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
||
p | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
p
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| p | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
i | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| i | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
c | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
c
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| c | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
k | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
k
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| k | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
t | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
t
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| t | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
e | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
e
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| e | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
m | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
m
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| m | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
g | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
g
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| g | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
l | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
l
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| l | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
a | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
a
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| a | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
s | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
s
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| s | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
o | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
o
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| o | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
r | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
r
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| r | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
f | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
f
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| f | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
b | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
b
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| b | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
n | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
n
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| n | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
d | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
d
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| d | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
x | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
x
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| x | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
y | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
y
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| y | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
. | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
.
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| . | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
] | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
]
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| ] | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab the cup located to the right of a first aid kit | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the cup located to the right of a first aid kit
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| grab the cup located to the right of a first aid kit | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take hold of the tumbler on the right side of a medical box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take hold of the tumbler on the right side of a medical box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| take hold of the tumbler on the right side of a medical box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the class right of a bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the class right of a bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the class right of a bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the glass write off a bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the glass write off a bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the glass write off a bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick of the glass right of a bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick of the glass right of a bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick of the glass right of a bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the glass to the left of a bandagebox, no wait, i meant to say right of a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the glass to the left of a bandagebox, no wait, i meant to say right of a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the glass to the left of a bandagebox, no wait, i meant to say right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the cup, no sorry, i mean the glass that's right of a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the cup, no sorry, i mean the glass that's right of a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the cup, no sorry, i mean the glass that's right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the glass right of a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the glass right of a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the glass right of a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
would you mind taking the painkillers that are situated to the left of the medicine? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind taking the painkillers that are situated to the left of the medicine?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| would you mind taking the painkillers that are situated to the left of the medicine? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
if it's not too much trouble, could you please take the painkillers that are located on the left side of the medicine? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if it's not too much trouble, could you please take the painkillers that are located on the left side of the medicine?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| if it's not too much trouble, could you please take the painkillers that are located on the left side of the medicine? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
please, you take medicine that is left from painkiller | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please, you take medicine that is left from painkiller
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| please, you take medicine that is left from painkiller | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
you take the painkiller medicine that is in the left, yes? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
you take the painkiller medicine that is in the left, yes?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| you take the painkiller medicine that is in the left, yes? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab those painkillers on the left of the meds | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab those painkillers on the left of the meds
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| grab those painkillers on the left of the meds | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
snag the painkillers that are to the left of the medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
snag the painkillers that are to the left of the medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| snag the painkillers that are to the left of the medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
uh, take the, um, the painkillers left of a medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, take the, um, the painkillers left of a medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| uh, take the, um, the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the, um, you know, the painkillers, uh, left of a medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the, um, you know, the painkillers, uh, left of a medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the, um, you know, the painkillers, uh, left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
consume the analgesics situated to the left of a drug | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
consume the analgesics situated to the left of a drug
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| consume the analgesics situated to the left of a drug | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
ingest the pain relievers located on the left of a medication | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
ingest the pain relievers located on the left of a medication
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| ingest the pain relievers located on the left of a medication | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the penguins left of a medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the penguins left of a medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the penguins left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the painkillers left of | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the painkillers left of
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the painkillers left of | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the painkillers left of a medicine cabinet | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the painkillers left of a medicine cabinet
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the painkillers left of a medicine cabinet | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab the painkillers that are on the right of the medicine, sorry i mean left of the medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the painkillers that are on the right of the medicine, sorry i mean left of the medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| grab the painkillers that are on the right of the medicine, sorry i mean left of the medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the aspirin left of the medicine, wait no, i meant the painkillers left of the medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the aspirin left of the medicine, wait no, i meant the painkillers left of the medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the aspirin left of the medicine, wait no, i meant the painkillers left of the medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take the painkillers left of a medicine | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{painkillers(VAR0),medicine(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take the painkillers left of a medicine
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']}
| take the painkillers left of a medicine | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['painkillers(VAR0)', 'medicine(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
could you please assist me in retrieving the mug that's located outside the bandage box? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you please assist me in retrieving the mug that's located outside the bandage box?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| could you please assist me in retrieving the mug that's located outside the bandage box? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
would you mind picking up the mug that has been placed near the bandage box? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind picking up the mug that has been placed near the bandage box?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| would you mind picking up the mug that has been placed near the bandage box? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
please to take the cup outside of box for bandages | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
please to take the cup outside of box for bandages
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| please to take the cup outside of box for bandages | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
you can retrieve mug near box of bandage, yes? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
you can retrieve mug near box of bandage, yes?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| you can retrieve mug near box of bandage, yes? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab that mug outside the bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab that mug outside the bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| grab that mug outside the bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
yo, get the mug chillin' outside the bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
yo, get the mug chillin' outside the bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| yo, get the mug chillin' outside the bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
uh, pick up the, um, the mug outside a...uh...bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, pick up the, um, the mug outside a...uh...bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| uh, pick up the, um, the mug outside a...uh...bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
hmm, pick up the...uh...mug, yeah, outside a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
hmm, pick up the...uh...mug, yeah, outside a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| hmm, pick up the...uh...mug, yeah, outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
grab the cup near a first aid kit | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
grab the cup near a first aid kit
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| grab the cup near a first aid kit | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
take hold of the stein by a medical box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
take hold of the stein by a medical box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| take hold of the stein by a medical box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the mug outside abandoned box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the mug outside abandoned box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the mug outside abandoned box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the outside a bandage box | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the outside a bandage box
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the outside a bandage box | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the mug outside a bandage fox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the mug outside a bandage fox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the mug outside a bandage fox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the book outside a bandagebox, wait no, i mean the mug | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the book outside a bandagebox, wait no, i mean the mug
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the book outside a bandagebox, wait no, i mean the mug | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the mug inside a bandagebox, actually no, outside a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the mug inside a bandagebox, actually no, outside a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the mug inside a bandagebox, actually no, outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
pick up the mug outside a bandagebox | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{mug(VAR0),bandagebox(VAR1),DEFINITE(VAR0),INDEFINITE(VAR1)}) | pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pick up the mug outside a bandagebox
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']}
| pick up the mug outside a bandagebox | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['mug(VAR0)', 'bandagebox(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
could you please grab the glass that's situated beneath the other glass? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),glass(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | take the glass underneath the glass | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
could you please grab the glass that's situated beneath the other glass?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']}
| could you please grab the glass that's situated beneath the other glass? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|
would you mind taking the glass that's located underneath the other glass? | INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{glass(VAR0),glass(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)}) | take the glass underneath the glass | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']} | INSTRUCT | take(self:agent,VAR0) | ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction}
### example
{example}
### utterance
{input}
### JSON:
{output}
|
### instruction
Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you mind taking the glass that's located underneath the other glass?
### JSON:
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']}
| would you mind taking the glass that's located underneath the other glass? | {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['glass(VAR0)', 'glass(VAR1)', 'DEFINITE(VAR0)']} | Given an utterance, extract a semantic parse of the utterance and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
|