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would you mind picking up the pizza that's on the chair, please?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would you mind picking up the pizza that's on the chair, please? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
would you mind picking up the pizza that's on the chair, please? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
if you have a moment, could you please pick up the pizza on the chair?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance if you have a moment, could you please pick up the pizza on the chair? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
if you have a moment, could you please pick up the pizza on the chair? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
could you do me a favor and pick up the pizza from the chair?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you do me a favor and pick up the pizza from the chair? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
could you do me a favor and pick up the pizza from the chair? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
would it be possible for you to pick up the pizza that is on the chair?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance would it be possible for you to pick up the pizza that is on the chair? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
would it be possible for you to pick up the pizza that is on the chair? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
it would be really helpful if you could pick up the pizza from the chair.
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DirectnessStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance it would be really helpful if you could pick up the pizza from the chair. ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
it would be really helpful if you could pick up the pizza from the chair. Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
please to take pizza from chair.
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance please to take pizza from chair. ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
please to take pizza from chair. Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
on chair, pizza you get.
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance on chair, pizza you get. ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
on chair, pizza you get. Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
could you, pizza on chair, pick up?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance could you, pizza on chair, pick up? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
could you, pizza on chair, pick up? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
chair, on it, pizza. please to collect.
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance chair, on it, pizza. please to collect. ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
chair, on it, pizza. please to collect. Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
one favor, pizza on chair, can you lift?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FamiliarityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance one favor, pizza on chair, can you lift? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
one favor, pizza on chair, can you lift? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
grab the pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance grab the pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
grab the pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
fetch the pizza from the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance fetch the pizza from the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
fetch the pizza from the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
can you get the pizza off the chair?
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance can you get the pizza off the chair? ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
can you get the pizza off the chair? Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
snag the pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance snag the pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
snag the pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
yo, get the chair pizza
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:FormalityStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance yo, get the chair pizza ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
yo, get the chair pizza Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
um, pick up the, uh, pizza on the, um, chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance um, pick up the, uh, pizza on the, um, chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
um, pick up the, uh, pizza on the, um, chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
pick up the, um, pick up the pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up the, um, pick up the pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
pick up the, um, pick up the pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
pick up the pizza on the, uh, chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up the pizza on the, uh, chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
pick up the pizza on the, uh, chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
uh, pick up the, uh, pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance uh, pick up the, uh, pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
uh, pick up the, uh, pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
pick up the, um, uh, pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:DisfluencyStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance pick up the, um, uh, pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
pick up the, um, uh, pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
take the pizza from the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance take the pizza from the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
take the pizza from the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
retrieve the pizza on the chair
INSTRUCT(tyler,self:agent,take(self:agent,VAR0),{pizza(VAR0),chair(VAR1),DEFINITE(VAR0),DEFINITE(VAR1)})
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
INSTRUCT
take(self:agent,VAR0)
['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']
style:WordChoiceStyleAugmenter
null
['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong']
['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
### instruction {instruction_with_context} ### example {example_with_context} ### utterance {utterance} ### actions {actions} ### properties {properties} ### JSON: {output}
### instruction Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. ### example Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: {actions} detection capabilities: {properties} JSON: {{ "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }} ### utterance retrieve the pizza on the chair ### actions ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] ### properties ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] ### JSON: {'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
retrieve the pizza on the chair Available actions: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] Available detectors: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these']
{'intent': 'INSTRUCT', 'central_proposition': 'take(self:agent,VAR0)', 'supplemental_semantics': ['pizza(VAR0)', 'chair(VAR1)', 'DEFINITE(VAR0)']}
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format. Here is an example of a parse for an utterance. utterance: put the potted plant outside of the skis action capabilities: ['startVisualSearch', 'handleGreeting', 'getTime', 'initSearchesDemo', 'putinside', 'puton', 'putleftof', 'putbehind', 'stopVisualSearch', 'clearrelations', 'translateLastGoal', 'putagainst', 'putoutside', 'putalong', 'take', 'lookForObject', 'putbeside', 'initSearches', 'putrightof', 'getCurrGoals', 'putallover', 'handleAck', 'putbelow', 'putbetween', 'putinfrontof', 'findGraspableObject', 'putabove', 'findObject', 'putamong'] detection capabilities: ['doit', 'dothis', 'dothat', 'that', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these', 'this', 'it', 'that', 'thing', 'those', 'they', 'these'] JSON: { "intent": "INSTRUCT", "central_proposition": "putoutside(self:agent,VAR0,VAR1)", "supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]] }
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