Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['freezer', 'bathroom', 'ceilingfan', 'food_carrot', 'drawing', 'bathroom_counter', 'floor', 'ceiling', 'computer', 'food_bacon', 'toaster', 'ceilinglamp', 'tvstand', 'balanceball', 'stovefan', 'window', 'couch', 'food_orange', 'wall', 'powersocket', 'cutting_board', 'bed', 'novel', 'mouthwash', 'television', 'curtain', 'towel_rack', 'home_office', 'table', 'clothes_skirt']  Task:Watch TV  response:  {       thoughts : I come home and go to the sofa for turn off the tv and relax,       actions : ['[WALK] <home_office>', '[WALK] <couch>', '[SIT] <couch>', '[FIND] <television>', '[SWITCHON] <television>']  }     Scene_Objects:['microwave', 'chair', 'walllamp', 'wallshelf', 'ceiling', 'phone', 'keyboard', 'thread', 'piano_bench', 'brush', 'mat', 'ceilinglamp', 'window', 'oil', 'closetdrawer', 'mousepad', 'food_peanut_butter', 'candle', 'nightstand', 'powersocket', 'newspaper', 'novel', 'television', 'doorjamb', 'kitchen_counter', 'comb', 'cupboard', 'home_office', 'table', 'instrument_violin']  Task:Turn on light  response:

{  Twist the lamp switch until the light goes on. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['dry_pasta', 'toilet', 'bathroom', 'trashcan', 'ceilingfan', 'toothbrush', 'orchid', 'floor', 'phone', 'bookshelf', 'computer', 'toaster', 'shoe-shine_kit', 'mousepad', 'pillow', 'dining_room', 'box', 'basket_for_clothes', 'keys', 'razor', 'toothbrush_holder', 'coin', 'wine', 'doorjamb', 'cards', 'door', 'napkin', 'home_office', 'soap', 'tooth_paste']  Task:Brush teeth  response:  {       thoughts : today morning i went to bathroom and took my toothbrush and paste from tooth brush holder and brushed and cleaned my teeth well,       actions : ['[WALK] <bathroom>', '[WALK] <toothbrush_holder>', '[FIND] <toothbrush_holder>', '[FIND] <tooth_paste>', '[GRAB] <tooth_paste>', '[FIND] <toothbrush>', '[GRAB] <toothbrush>', '[PUTBACK] <tooth_paste> <toothbrush_holder>', '[WALK] <water>', '[FIND] <water>', '[GRAB] <water>', '[POUR] <water> <toothbrush>']  }     Scene_Objects:['sheets', 'pot', 'mop', 'microwave', 'detergent', 'food_butter', 'drawing', 'keyboard', 'bookshelf', 'computer', 'food_bacon', 'toaster', 'faucet', 'clothes_hat', 'oven', 'cutting_board', 'cup', 'check', 'coin', 'doorjamb', 'mouse', 'vacuum_cleaner', 'headset', 'chessboard', 'dresser', 'laundry_detergent', 'light', 'dishwasher', 'instrument_violin', 'dirt']  Task:Vacuum  response:

{  Get the vacuum and use it to clean my floors }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'table_cloth', 'stovefan', 'ceilinglamp', 'mat', 'toaster', 'deck_of_cards', 'window', 'tvstand', 'mousepad', 'pillow', 'wall', 'pasta', 'light_bulb', 'check', 'mouthwash', 'wooden_spoon', 'mouse', 'door', 'table', 'coffee']  Task:Browse internet  response:  {       thoughts : Turn on computer, pull up browser, browse the internet,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[SWITCHON] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>']  }     Scene_Objects:['sponge', 'food_bread', 'toilet', 'bathroom', 'detergent', 'drawing', 'knifeblock', 'cpuscreen', 'floor', 'ceiling', 'bedroom', 'tea_bag', 'mail', 'ceilinglamp', 'shower', 'iron', 'closetdrawer', 'couch', 'towel', 'oven', 'coin', 'lighter', 'console', 'mouse', 'shoes', 'cd', 'dishrack', 'spoon', 'light', 'table']  Task:Switch on lamp  response:

{  Press the button so the light comes on. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'filing_cabinet', 'tablelamp', 'microwave', 'band-aids', 'walllamp', 'blow_dryer', 'detergent', 'bathroom', 'orchid', 'knifeblock', 'wallshelf', 'floor', 'bookshelf', 'stovefan', 'tvstand', 'faucet', 'stereo', 'pillow', 'dining_room', 'wall', 'nightstand', 'oven', 'clothes_gloves', 'water', 'kitchen_counter', 'cupboard', 'laundry_detergent', 'sink', 'napkin']  Task:Drink  response:  {       thoughts : Walk to kitchen, grab a glass, walk to sink, turn on tap and pour water into glass, drink from glass.,       actions : ['[WALK] <dining_room>', '[WALK] <cup>', '[FIND] <cup>', '[GRAB] <cup>', '[WALK] <sink>', '[WALK] <water>', '[FIND] <water>', '[GRAB] <water>', '[POUR] <water> <cup>', '[DRINK] <cup>']  }     Scene_Objects:['chair', 'band-aids', 'drawing', 'orchid', 'floor', 'ceiling', 'phone', 'cleaning_solution', 'bookshelf', 'computer', 'ceilinglamp', 'mat', 'mousepad', 'pillow', 'wall', 'nightstand', 'powersocket', 'bed', 'photoframe', 'novel', 'rag', 'doorjamb', 'centerpiece', 'mouse', 'kitchen_counter', 'dresser', 'door', 'food_steak', 'home_office', 'dishwasher']  Task:Dust  response:

{  Gather wood cleaner and cleaning rag. Wipe baseboards and window sills with dry cloth, then spray with cleaner and buff }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'chair', 'ground_coffee', 'drawing', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'table_cloth', 'piano_bench', 'mat', 'ceilinglamp', 'tvstand', 'laptop', 'stereo', 'deck_of_cards', 'mousepad', 'dining_room', 'wall', 'nightstand', 'powersocket', 'television', 'food_rice', 'mouse', 'door', 'table', 'laser_pointer']  Task:Work  response:  {       thoughts : Go to the office and sit on the chair, then work on the computer,       actions : ['[WALK] <home_office>', '[WALK] <chair>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <laptop>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>']  }     Scene_Objects:['pot', 'filing_cabinet', 'freezer', 'knifeblock', 'cpuscreen', 'bathroom_counter', 'shampoo', 'ceiling', 'button', 'deck_of_cards', 'shower', 'clothes_pants', 'food_kiwi', 'cup', 'bed', 'food_food', 'tray', 'wooden_spoon', 'doorjamb', 'mouse', 'kitchen_counter', 'dresser', 'cupboard', 'door', 'spoon', 'home_office', 'light', 'clothes_skirt', 'dishwasher', 'coffee']  Task:Grab things  response:

{  The robot will need some kind of hands or grabbing device to transport objects. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['chair', 'walllamp', 'blow_dryer', 'orchid', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'brush', 'ceilinglamp', 'mat', 'laptop', 'mousepad', 'dining_room', 'wall', 'powersocket', 'food_food', 'oven_mitts', 'kettle', 'mouse', 'cd', 'door', 'hairdryer', 'napkin', 'sink', 'table', 'light']  Task:Wash monitor  response:  {       thoughts : Clean the grime off of my monitor screen when not in use,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[SWITCHOFF] <computer>', '[FIND] <brush>', '[TURNTO] <brush>', '[LOOKAT] <brush>', '[GRAB] <brush>', '[WIPE] <computer>', '[DROP] <brush>', '[FIND] <napkin>', '[GRAB] <napkin>', '[WASH] <napkin>', '[WIPE] <computer>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'measuring_cup', 'chair', 'walllamp', 'bathroom', 'bills', 'food_egg', 'bathroom_counter', 'floor', 'ceiling', 'bedroom', 'bookshelf', 'alcohol', 'bookmark', 'toaster', 'ceilinglamp', 'window', 'couch', 'pillow', 'wall', 'nightstand', 'powersocket', 'photoframe', 'check', 'television', 'tray', 'cupboard', 'instrument_violin', 'teeth']  Task:Do homework  response:

{  Sit on the couch in the Living room and pick u some papers }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['jelly', 'drawing', 'hanger', 'bathroom_counter', 'floor', 'ceiling', 'brush', 'stovefan', 'faucet', 'iron', 'couch', 'towel', 'wall', 'powersocket', 'cutting_board', 'photoframe', 'bed', 'television', 'lighter', 'console', 'dresser', 'pajamas', 'door', 'sink', 'bathroom_cabinet', 'table', 'clothes_skirt', 'vase', 'soap', 'hands_both']  Task:Wash hands  response:  {       thoughts : I go into the bathroom, get my hands wet, add soap, suds up my hands, rinse the soap off, turn the faucet off, dry my hands.,       actions : ['[WALK] <bathroom>', '[WALK] <faucet>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <hands_both>', '[RINSE] <hands_both>', '[FIND] <soap>', '[GRAB] <soap>', '[SCRUB] <soap>', '[PUTOBJBACK] <soap>', '[SCRUB] <hands_both>', '[RINSE] <hands_both>', '[SWITCHOFF] <faucet>', '[FIND] <towel>', '[GRAB] <towel>', '[WIPE] <hands_both>', '[PUTOBJBACK] <towel>']  }     Scene_Objects:['dry_pasta', 'scissors', 'crayon', 'toilet', 'jelly', 'walllamp', 'nail_polish', 'detergent', 'food_cake', 'alcohol', 'piano_bench', 'toaster', 'food_noodles', 'garbage_can', 'pillow', 'broom', 'oven', 'toy', 'food_vegetable', 'food_food', 'television', 'oven_mitts', 'doorjamb', 'pencil', 'headset', 'sink', 'bathroom_cabinet', 'table', 'dishwasher', 'pantry']  Task:Organize pantry  response:

{  Remove all perishable foods from the pantry, check dates and throw away any old food. Decide on an efficient ad neat arrangement for the food and replace it in the pantry accordingly. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['juice', 'bathroom', 'detergent', 'nail_polish', 'trashcan', 'food_butter', 'orchid', 'hanger', 'longboard', 'floor', 'bathroom_counter', 'remote_control', 'envelope', 'computer', 'window', 'electric_shaver', 'wall', 'cutting_board', 'bed', 'television', 'tray', 'curtain', 'after_shave', 'lighter', 'mouse', 'cupboard', 'clothes_dress', 'light', 'clothes_skirt', 'board_game']  Task:Watch TV  response:  {       thoughts : Watching tv with a remote is always fun; lay back, relax and enjoy;,       actions : ['[WALK] <bedroom>', '[WALK] <television>', '[FIND] <television>', '[SWITCHON] <television>', '[FIND] <remote_control>', '[GRAB] <remote_control>', '[FIND] <bed>', '[LIE] <bed>']  }     Scene_Objects:['pot', 'filing_cabinet', 'mop', 'bathroom', 'dough', 'milk', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'cleaning_solution', 'keyboard', 'mat', 'faucet', 'window', 'food_noodles', 'closetdrawer', 'couch', 'clothes_pants', 'nightstand', 'tape', 'food_food', 'check', 'food_rice', 'wooden_spoon', 'rag', 'mouse', 'controller', 'door', 'home_office']  Task:Clean mirror  response:

{  Spray the mirror with a cleaner, take a dry rag and wipe the mirror down until its clean. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['food_pizza', 'freezer', 'band-aids', 'drawing', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'stamp', 'desk', 'stovefan', 'shoe-shine_kit', 'couch', 'pillow', 'wall', 'bench', 'coffe_maker', 'toothbrush_holder', 'television', 'curtain', 'doorjamb', 'shaving_cream', 'cupboard', 'door', 'sink', 'bathtub', 'instrument_guitar', 'light', 'home_office', 'clothes_skirt']  Task:Turn on light  response:  {       thoughts : I walk to room. I enter room. I find where the lightswitch is. I turn on the lights with the lightswitch.,       actions : ['[WALK] <bedroom>', '[WALK] <light>', '[FIND] <light>', '[TURNTO] <light>', '[LOOKAT] <light>', '[SWITCHON] <light>']  }     Scene_Objects:['chair', 'walllamp', 'bathroom', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'food_bacon', 'bookmark', 'mat', 'ceilinglamp', 'tvstand', 'deck_of_cards', 'mousepad', 'closetdrawer', 'pillow', 'wall', 'nightstand', 'cup', 'television', 'doorjamb', 'mouse', 'kitchen_counter', 'vacuum_cleaner', 'door', 'light', 'table']  Task:Vacuum  response:

{  Keep my keyboard vacuumed and free of debris. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'food_salt', 'crayon', 'chair', 'freezer', 'detergent', 'food_butter', 'drawing', 'knife', 'hanger', 'floor', 'character', 'piano_bench', 'toaster', 'clothes_socks', 'food_peanut_butter', 'pillow', 'food_kiwi', 'coffe_maker', 'food_donut', 'tray', 'curtain', 'shaving_cream', 'mouse', 'kitchen_counter', 'dishrack', 'hair', 'door', 'hairdryer', 'napkin']  Task:Turn on light  response:  {       thoughts : Turning on lights,       actions : ['[WALK] <bedroom>', '[WALK] <floor_lamp>', '[FIND] <floor_lamp>', '[SWITCHON] <floor_lamp>']  }     Scene_Objects:['sheets', 'orchid', 'cpuscreen', 'clothes_underwear', 'bathroom_counter', 'phone', 'cleaning_solution', 'button', 'ceilinglamp', 'mat', 'shoe-shine_kit', 'food_orange', 'pillow', 'dining_room', 'food_kiwi', 'cup', 'food_cheese', 'bed', 'clothes_gloves', 'coffe_maker', 'toilet_paper', 'oven_mitts', 'curtain', 'rag', 'console', 'pencil', 'dresser', 'clothes_scarf', 'light', 'colander']  Task:Clean  response:

{  Spray counter tops with all purpose cleaner. Using towel, wipe counter, removing all dirt and grime until clean. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'mop', 'band-aids', 'drawing', 'food_egg', 'bathroom_counter', 'floor', 'phone', 'cleaning_solution', 'bookshelf', 'computer', 'stereo', 'oil', 'mousepad', 'wall', 'wall_clock', 'nightstand', 'shelf', 'newspaper', 'food_food', 'video_game_controller', 'coin', 'rag', 'mouse', 'pencil', 'bathtub', 'bathroom_cabinet', 'light', 'coffee', 'creditcard']  Task:Clean  mirror  response:  {       thoughts : GET CLEANING CLOTH, SPRAY CLEANER ON CLOTH, CLEAN MIRROR,       actions : ['[WALK] <bathroom>', '[WALK] <cleaning_solution>', '[FIND] <cleaning_solution>', '[GRAB] <cleaning_solution>', '[FIND] <rag>', '[GRAB] <rag>', '[POUR] <cleaning_solution> <rag>', '[PUTOBJBACK] <cleaning_solution>', '[WALK] <mirror>', '[WIPE] <mirror>', '[WIPE] <mirror>', '[WIPE] <mirror>', '[PUTOBJBACK] <rag>']  }     Scene_Objects:['sponge', 'pot', 'blender', 'beer', 'microwave', 'knifeblock', 'cpuscreen', 'hanger', 'floor', 'ceiling', 'table_cloth', 'toaster', 'plate', 'faucet', 'tvstand', 'window', 'dish_soap', 'food_orange', 'wall', 'cup', 'bed', 'food_food', 'tray', 'wooden_spoon', 'mouse', 'pencil', 'kitchen_counter', 'dishrack', 'cupboard', 'sink']  Task:Wash dirty dishes  response:

{  Wet the sponge, apply soap to sponge, scrub dishes, rinse dishes, place on dish rack. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['food_salt', 'microwave', 'walllamp', 'bathroom', 'wallshelf', 'clothes_underwear', 'floor', 'ceiling', 'phone', 'computer', 'tvstand', 'shoe-shine_kit', 'faucet', 'window', 'mousepad', 'couch', 'wall', 'oven', 'newspaper', 'coffe_maker', 'food_food', 'doorjamb', 'kitchen_counter', 'shoes', 'cupboard', 'clothes_dress', 'door', 'sink', 'bathroom_cabinet', 'light']  Task:Pick up phone  response:  {       thoughts : Walk to living room. Go near telephone. take the receiver and then talk to other person on that side.,       actions : ['[WALK] <phone>', '[GRAB] <phone>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'chair', 'ground_coffee', 'wallshelf', 'hanger', 'floor', 'stamp', 'desk', 'bookshelf', 'tea_bag', 'envelope', 'computer', 'mop_bucket', 'mat', 'shower', 'foundation', 'form', 'wall', 'powersocket', 'cutting_board', 'photoframe', 'novel', 'check', 'television', 'wooden_spoon', 'after_shave', 'doorjamb', 'door', 'light']  Task:Read to child  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'chair', 'cat', 'ceilingfan', 'cpuscreen', 'floor', 'ceiling', 'desk', 'bookshelf', 'keyboard', 'computer', 'ceilinglamp', 'mousepad', 'oil', 'couch', 'wall', 'wall_clock', 'powersocket', 'oven', 'bench', 'newspaper', 'mouthwash', 'television', 'diary', 'towel_rack', 'mouse', 'dresser', 'hairbrush', 'hairdryer', 'soap']  Task:Check email  response:  {       thoughts : Sit in teak deck chair, have wooden drawing board on lap, laptop on wooden drawing board, log in to my two email accounts, go through new emails and respond.,       actions : ['[WALK] <home_office>', '[WALK] <laptop>', '[FIND] <laptop>', '[GRAB] <laptop>', '[WALK] <chair>', '[SIT] <chair>', '[SWITCHON] <laptop>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>', '[TOUCH] <laptop>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>', '[TOUCH] <laptop>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>', '[TOUCH] <laptop>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>', '[TOUCH] <laptop>']  }     Scene_Objects:['filing_cabinet', 'food_ice_cream', 'chair', 'nail_polish', 'bathroom', 'cat', 'dough', 'toothbrush', 'desk', 'button', 'stovefan', 'shower', 'faucet', 'window', 'pillow', 'nightstand', 'wall_clock', 'oven', 'cutting_board', 'novel', 'check', 'television', 'toothbrush_holder', 'lighter', 'kettle', 'chessboard', 'dresser', 'sink', 'home_office', 'clothes_skirt']  Task:Keep cats out of room  response:

{  Stand in the doorway and create a loud noise so the cats will stay out. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sheets', 'filing_cabinet', 'tablelamp', 'tea', 'trashcan', 'drawing', 'orchid', 'floor', 'character', 'desk', 'bookshelf', 'computer', 'toaster', 'mat', 'stovefan', 'tvstand', 'window', 'mousepad', 'couch', 'wall', 'nightstand', 'wall_clock', 'cup', 'bed', 'food_donut', 'curtain', 'towel_rack', 'sink', 'napkin', 'bathtub']  Task:Go to sleep  response:  {       thoughts : Enter bedroom, turn on the light, and shut door. Change into night clothes. Turn off light. Turn down comforter, climb into bed, lay head on pillow, and cover up with comforter. Close eyes and drift off to sleep.,       actions : ['[WALK] <bedroom>', '[WALK] <bed>', '[FIND] <bed>', '[LIE] <bed>', '[FIND] <sheets>', '[PULL] <sheets>']  }     Scene_Objects:['spectacles', 'sheets', 'filing_cabinet', 'food_salt', 'toilet', 'band-aids', 'walllamp', 'wallshelf', 'cpuscreen', 'hanger', 'floor', 'phone', 'computer', 'mop_bucket', 'stovefan', 'tvstand', 'deck_of_cards', 'closetdrawer', 'newspaper', 'coffe_maker', 'doorjamb', 'dresser', 'cupboard', 'door', 'food_steak', 'bag', 'sink', 'table', 'dishwasher', 'bathroom_cabinet']  Task:Put umbrella away  response:

{  Place the umbrella in the umbrella bucket point first. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'food_ice_cream', 'microwave', 'walllamp', 'bathroom', 'cat', 'trashcan', 'knifeblock', 'hanger', 'floor', 'faucet', 'shower', 'clothes_hat', 'wall', 'nightstand', 'tape', 'cup', 'food_food', 'water', 'tray', 'diary', 'pencil', 'kitchen_counter', 'headset', 'hairbrush', 'cupboard', 'hair', 'sink', 'instrument_guitar', 'soap']  Task:Drink  response:  {       thoughts : Walk to kitchen, grab a glass, walk to sink, turn on tap and pour water into glass, drink from glass.,       actions : ['[WALK] <dining_room>', '[WALK] <cup>', '[FIND] <cup>', '[GRAB] <cup>', '[WALK] <sink>', '[WALK] <water>', '[FIND] <water>', '[GRAB] <water>', '[POUR] <water> <cup>', '[DRINK] <cup>']  }     Scene_Objects:['tablelamp', 'microwave', 'chair', 'walllamp', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'stovefan', 'ceilinglamp', 'window', 'oil', 'mousepad', 'couch', 'closetdrawer', 'food_jam', 'pillow', 'towel', 'dining_room', 'bowl', 'wall', 'nightstand', 'pasta', 'clothes_gloves', 'food_food', 'television', 'tray', 'hairbrush', 'clothes_dress']  Task:Read book  response:

{  Sit on a couch, grab a book, open it, and scan the pages }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'microwave', 'walllamp', 'detergent', 'cat', 'drawing', 'orchid', 'wallshelf', 'hanger', 'bathroom_counter', 'floor', 'desk', 'bookshelf', 'mat', 'tvstand', 'ceilinglamp', 'window', 'couch', 'dustpan', 'pillow', 'wall', 'wall_clock', 'television', 'tray', 'curtain', 'towel_rack', 'kitchen_counter', 'cupboard', 'table', 'light']  Task:Pet cat  response:  {       thoughts : I see my cat on the couch so I walk over, sit down and pet the cat.,       actions : ['[WALK] <home_office>', '[WALK] <cat>', '[FIND] <cat>', '[TURNTO] <cat>', '[LOOKAT] <cat>', '[FIND] <couch>', '[SIT] <couch>', '[TOUCH] <cat>']  }     Scene_Objects:['food_ice_cream', 'tea', 'freezer', 'walllamp', 'orchid', 'cpuscreen', 'wallshelf', 'hanger', 'floor', 'ceiling', 'folder', 'laptop', 'tvstand', 'ceilinglamp', 'faucet', 'window', 'closetdrawer', 'towel', 'wall', 'box', 'video_game_controller', 'television', 'curtain', 'doorjamb', 'vacuum_cleaner', 'dresser', 'door', 'clothes_scarf', 'light', 'creditcard']  Task:Sweep hallway please  response:

{  Vacuum all the way up and down the hallway.  Get all the dirt and crumbs out of carpet please. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['beer', 'microwave', 'dog', 'chair', 'cat', 'knifeblock', 'hanger', 'bathroom_counter', 'floor', 'phone', 'character', 'keyboard', 'clothes_jacket', 'ceilinglamp', 'shoe-shine_kit', 'tvstand', 'closetdrawer', 'oven', 'food_cheese', 'novel', 'toothbrush_holder', 'television', 'food_donut', 'console', 'controller', 'clothes_scarf', 'light', 'colander', 'board_game', 'creditcard']  Task:Pet cat  response:  {       thoughts : I walk to my cat, and I pet him,       actions : ['[WALK] <cat>', '[TOUCH] <cat>']  }     Scene_Objects:['sheets', 'pot', 'filing_cabinet', 'measuring_cup', 'microwave', 'band-aids', 'drawing', 'floor', 'ceiling', 'desk', 'bookshelf', 'envelope', 'button', 'toaster', 'mat', 'clothes_hat', 'wall', 'powersocket', 'oven', 'toy', 'novel', 'toothbrush_holder', 'after_shave', 'doorjamb', 'pencil', 'door', 'light', 'table', 'dishwasher', 'colander']  Task:Put toys away  response:

{  Pick up all the toys on the floor and put them in their correct storage bin or shelf. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['blow_dryer', 'trashcan', 'hanger', 'floor', 'ceiling', 'bedroom', 'bookmark', 'toaster', 'stovefan', 'tvstand', 'food_jam', 'pillow', 'dining_room', 'bowl', 'wall', 'powersocket', 'clothes_gloves', 'novel', 'coffe_maker', 'coffee_filter', 'tray', 'after_shave', 'curtain', 'cd', 'chessboard', 'cupboard', 'sink', 'dishwasher', 'scrabble', 'coffee']  Task:Make coffee  response:  {       thoughts : Enter kitchen, find coffee maker, find coffee filter, pick up coffee filter, put it in coffee maker, find coffee, pour coffee into filter, turn on.,       actions : ['[WALK] <dining_room>', '[WALK] <coffe_maker>', '[FIND] <coffe_maker>', '[FIND] <coffee_filter>', '[GRAB] <coffee_filter>', '[OPEN] <coffe_maker>', '[PUTBACK] <coffee_filter> <coffe_maker>', '[WALK] <coffee>', '[FIND] <coffee>', '[GRAB] <coffee>', '[POUR] <coffee> <coffe_maker>', '[SWITCHON] <coffe_maker>']  }     Scene_Objects:['filing_cabinet', 'measuring_cup', 'microwave', 'milk', 'knifeblock', 'bills', 'wallshelf', 'bathroom_counter', 'ceiling', 'phone', 'bedroom', 'keyboard', 'stovefan', 'laptop', 'shoe-shine_kit', 'shower', 'candle', 'clothes_hat', 'towel', 'dining_room', 'wall_clock', 'powersocket', 'newspaper', 'doorjamb', 'shaving_cream', 'vacuum_cleaner', 'dishrack', 'dishwasher', 'instrument_violin', 'creditcard']  Task:Vacuum  response:

{  Robot has a vacuum underneath its feat/body that will allow it to clean the surface of the floor. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sheets', 'spectacles', 'ceilingfan', 'drawing', 'floor', 'ceiling', 'bedroom', 'remote_control', 'table_cloth', 'ceilinglamp', 'tvstand', 'balanceball', 'window', 'couch', 'form', 'pillow', 'wall', 'oven', 'box', 'newspaper', 'coffe_maker', 'television', 'oven_mitts', 'curtain', 'doorjamb', 'pencil', 'cupboard', 'maindoor', 'table', 'dishwasher']  Task:Change TV channel  response:  {       thoughts : Walk to living room. Walk to and sit at the sofa. Grab remote control and switch on TV.,       actions : ['[WALK] <home_office>', '[WALK] <couch>', '[SIT] <couch>', '[FIND] <remote_control>', '[GRAB] <remote_control>', '[FIND] <television>', '[SWITCHON] <television>']  }     Scene_Objects:['food_bread', 'beer', 'toilet', 'chair', 'freezer', 'food_butter', 'food_carrot', 'milk', 'drawing', 'floor', 'ceiling', 'toaster', 'mat', 'shower', 'mousepad', 'garbage_can', 'food_dessert', 'wall', 'nightstand', 'powersocket', 'oven', 'food_vegetable', 'food_cheese', 'photoframe', 'food_food', 'food_onion', 'doorjamb', 'laundry_detergent', 'door', 'light']  Task:Rotate stock in refrigerator  response:

{  Throw out expired items, put older items in front. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'walllamp', 'trashcan', 'milk', 'knifeblock', 'orchid', 'kitchen_cabinet', 'floor', 'ceiling', 'character', 'desk', 'keyboard', 'toaster', 'stovefan', 'faucet', 'mousepad', 'couch', 'wall', 'pasta', 'oven', 'box', 'food_food', 'water', 'tray', 'pencil', 'kitchen_counter', 'sauce_pan', 'cupboard', 'instrument_guitar', 'bathroom_cabinet']  Task:Cook some food  response:  {       thoughts : Cook some pasta on the stove,       actions : ['[WALK] <dining_room>', '[WALK] <kitchen_cabinet>', '[FIND] <kitchen_cabinet>', '[OPEN] <kitchen_cabinet>', '[FIND] <pasta>', '[GRAB] <pasta>', '[FIND] <water>', '[GRAB] <water>', '[FIND] <sauce_pan>', '[POUR] <water> <sauce_pan>', '[FIND] <oven>', '[SWITCHON] <oven>', '[PUTBACK] <pasta> <sauce_pan>', '[FIND] <sauce_pan>', '[GRAB] <sauce_pan>', '[PUTBACK] <sauce_pan> <oven>']  }     Scene_Objects:['chair', 'ground_coffee', 'nail_polish', 'orchid', 'hanger', 'floor', 'ceiling', 'dvd_player', 'character', 'keyboard', 'food_cake', 'bookshelf', 'mail', 'toaster', 'plate', 'homework', 'pillow', 'dining_room', 'wall', 'bed', 'coffe_maker', 'coffee_filter', 'water', 'tray', 'curtain', 'kitchen_counter', 'cupboard', 'bathroom_cabinet', 'light', 'dishwasher']  Task:Make coffee  response:

{  Open coffee maker. Put filter in main basket, put ground coffee in filter, fill reservoir with water, turn on coffee maker. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['toilet', 'chair', 'walllamp', 'knifeblock', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'alcohol', 'table_cloth', 'stovefan', 'ceilinglamp', 'mat', 'iron', 'faucet', 'mousepad', 'bowl', 'wall', 'nightstand', 'oven', 'mouse', 'cupboard', 'door', 'clothes_scarf', 'bathroom_cabinet', 'table', 'instrument_guitar']  Task:Work  response:  {       thoughts : For doing homework walk to home office. Walk to computer. Switch on Computer. Sit in a chair and do homework in computer.,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[WALK] <computer>', '[FIND] <chair>', '[SIT] <chair>', '[SWITCHON] <computer>']  }     Scene_Objects:['pot', 'juice', 'food_ice_cream', 'beer', 'food_oatmeal', 'microwave', 'toilet', 'chair', 'freezer', 'walllamp', 'ground_coffee', 'blow_dryer', 'food_carrot', 'dough', 'milk', 'drawing', 'floor', 'ceiling', 'phone', 'stovefan', 'mat', 'ceilinglamp', 'shower', 'faucet', 'bowl', 'wall', 'nightstand', 'oven', 'powersocket', 'cup', 'photoframe', 'coffe_maker', 'food_food', 'check', 'oven_mitts', 'tray', 'doorjamb', 'pencil', 'kitchen_counter', 'cupboard', 'door', 'sink', 'napkin', 'light', 'dishwasher', 'table']  Task:Cook some food  response:

{  Put oatmeal into a bowl.  Add milk.  Heat in a microwave.  Put pod of coffee into a coffee maker.  Activate.  Pour juice into a glass. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['microwave', 'toilet', 'chair', 'walllamp', 'trashcan', 'cpuscreen', 'wallshelf', 'hanger', 'bathroom_counter', 'floor', 'ceiling', 'keyboard', 'tvstand', 'faucet', 'mousepad', 'closetdrawer', 'couch', 'food_jam', 'wall', 'nightstand', 'oven', 'newspaper', 'food_food', 'vacuum_cleaner', 'sink', 'bathtub', 'bathroom_cabinet', 'light', 'table', 'hands_both']  Task:Wash hands  response:  {       thoughts : I go to the bathroom, walk to the sink, turn on the faucet and then wash my hands under the water.,       actions : ['[WALK] <bathroom>', '[WALK] <sink>', '[FIND] <faucet>', '[TURNTO] <faucet>', '[FIND] <hands_both>', '[WASH] <hands_both>']  }     Scene_Objects:['filing_cabinet', 'food_salt', 'chair', 'bathroom', 'orchid', 'cpuscreen', 'bathroom_counter', 'desk', 'keyboard', 'button', 'piano_bench', 'ceilinglamp', 'stereo', 'floor_lamp', 'oil', 'mousepad', 'closetdrawer', 'tape', 'love_seat', 'newspaper', 'bed', 'check', 'video_game_controller', 'mouthwash', 'curtain', 'lighter', 'diary', 'doorjamb', 'dresser', 'sink']  Task:Read  response:

{  Sit on an easy chair.  Turn on music.  Take a book and read.  Turn on lamp at night. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sheets', 'tablelamp', 'chair', 'freezer', 'cat', 'drawing', 'cpuscreen', 'floor', 'ceiling', 'phone', 'desk', 'bookshelf', 'keyboard', 'computer', 'toaster', 'stereo', 'faucet', 'picture', 'mousepad', 'couch', 'wall', 'nightstand', 'powersocket', 'cup', 'doorjamb', 'mouse', 'kitchen_counter', 'door', 'home_office', 'light']  Task:Listen to music  response:  {       thoughts : I go to the bedroom and sit at my desk. I turn my radio on and listen to music.,       actions : ['[WALK] <bedroom>', '[WALK] <light>', '[FIND] <light>', '[SWITCHON] <light>', '[WALK] <desk>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <stereo>', '[SWITCHON] <stereo>']  }     Scene_Objects:['blender', 'milk', 'drawing', 'orchid', 'needle', 'hanger', 'bathroom_counter', 'floor', 'phone', 'computer', 'bookmark', 'toaster', 'mat', 'tvstand', 'electric_shaver', 'clothes_socks', 'closetdrawer', 'couch', 'nightstand', 'wall', 'bed', 'keys', 'photoframe', 'tray', 'centerpiece', 'dresser', 'bag', 'soap', 'clothes_shirt', 'teeth']  Task:Read book  response:

{  Climb into bed, then read the novel }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'cpuscreen', 'wallshelf', 'bathroom_counter', 'floor', 'stovefan', 'plate', 'shower', 'picture', 'faucet', 'dish_soap', 'pillow', 'wall', 'powersocket', 'cutting_board', 'tape', 'cup', 'coffe_maker', 'food_food', 'television', 'lighter', 'centerpiece', 'mouse', 'kitchen_counter', 'chessboard', 'dresser', 'cupboard', 'bathroom_cabinet', 'table', 'dishwasher']  Task:Wash dishes with dishwasher  response:  {       thoughts : I go to the kitchen and open the dishwasher. I fill it up with dirty dishes and glasses. Then I put dish soap in the dishwasher, close it and turn it on.,       actions : ['[WALK] <dining_room>', '[WALK] <dishwasher>', '[FIND] <dishwasher>', '[OPEN] <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <cup>', '[GRAB] <cup>', '[PUTBACK] <cup> <dishwasher>', '[FIND] <dish_soap>', '[GRAB] <dish_soap>', '[PUTBACK] <dish_soap> <dishwasher>', '[CLOSE] <dishwasher>', '[SWITCHON] <dishwasher>']  }     Scene_Objects:['food_bread', 'filing_cabinet', 'toilet', 'freezer', 'dough', 'drawing', 'hanger', 'floor', 'ceiling', 'mat', 'shoe-shine_kit', 'shower', 'clothes_hat', 'bowl', 'nightstand', 'wall', 'powersocket', 'wall_clock', 'photoframe', 'light_bulb', 'food_food', 'coffe_maker', 'razor', 'coffee_filter', 'doorjamb', 'hairbrush', 'door', 'home_office', 'light', 'soap']  Task:Put away groceries  response:

{  Place groceries in refrigerator from shopping at the grocery store. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['dry_pasta', 'pot', 'tablelamp', 'microwave', 'chair', 'freezer', 'orchid', 'drawing', 'floor', 'ceiling', 'phone', 'toaster', 'mat', 'ceilinglamp', 'faucet', 'stovefan', 'shower', 'food_peanut_butter', 'wall', 'powersocket', 'oven', 'cup', 'coffe_maker', 'tray', 'doorjamb', 'coffee_pot', 'towel_rack', 'kitchen_counter', 'cupboard', 'door', 'sink', 'table', 'dishwasher', 'light']  Task:Wipe down counter  response:  {       thoughts : Clean counter,       actions : ['[WALK] <dining_room>', '[WALK] <rag>', '[FIND] <rag>', '[GRAB] <rag>', '[WALK] <sink>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[RINSE] <rag>', '[SQUEEZE] <rag>', '[SWITCHOFF] <faucet>', '[WALK] <kitchen_counter>', '[WIPE] <kitchen_counter>']  }     Scene_Objects:['food_pizza', 'tablelamp', 'walllamp', 'orchid', 'knifeblock', 'wallshelf', 'floor', 'ceiling', 'bedroom', 'remote_control', 'envelope', 'computer', 'ceilinglamp', 'tvstand', 'window', 'closetdrawer', 'couch', 'pillow', 'nightstand', 'wall', 'pasta', 'oven', 'love_seat', 'television', 'razor', 'curtain', 'dresser', 'cupboard', 'bathroom_cabinet', 'table']  Task:Watch TV  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['food_bread', 'tablelamp', 'blender', 'tea', 'chair', 'freezer', 'drawing', 'orchid', 'hanger', 'floor', 'shampoo', 'stamp', 'bedroom', 'desk', 'computer', 'mat', 'stereo', 'mousepad', 'food_jam', 'dining_room', 'wall', 'wall_clock', 'bench', 'photoframe', 'food_food', 'dresser', 'napkin', 'home_office', 'table', 'spoon']  Task:Eat dinner  response:  {       thoughts : In our dining room, my family eats dinner. Once the food has been prepared, we gather at the dining room table and prepare to eat.,       actions : ['[WALK] <dining_room>', '[WALK] <food_food>', '[FIND] <food_food>', '[GRAB] <food_food>', '[WALK] <dining_room>', '[WALK] <table>', '[PUTBACK] <food_food> <table>', '[WALK] <dining_room>', '[WALK] <food_food>', '[FIND] <food_food>', '[GRAB] <food_food>', '[WALK] <dining_room>', '[WALK] <table>', '[PUTBACK] <food_food> <table>', '[WALK] <chair>', '[PULL] <chair>', '[SIT] <chair>', '[TURNTO] <food_food>', '[LOOKAT] <food_food>', '[TURNTO] <food_food>', '[LOOKAT] <food_food>']  }     Scene_Objects:['pot', 'filing_cabinet', 'food_salt', 'chair', 'bathroom', 'drawing', 'food_egg', 'floor', 'desk', 'bookshelf', 'computer', 'mat', 'stereo', 'shower', 'couch', 'food_peanut_butter', 'wall', 'powersocket', 'oven', 'cup', 'doorjamb', 'mouse', 'kitchen_counter', 'pajamas', 'controller', 'door', 'clothes_scarf', 'light', 'dishwasher', 'board_game']  Task:Pull up carpet  response:

{  Pry up a corner of your old dirty carpet.  Tug as hard as you can until it comes off the tacs. Pull up the pad. Try not to be sick at all the dirt. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'toilet', 'freezer', 'food_carrot', 'drawing', 'hanger', 'floor', 'ceiling', 'shampoo', 'stovefan', 'mat', 'shower', 'window', 'nightstand', 'wall', 'powersocket', 'food_cheese', 'photoframe', 'bed', 'newspaper', 'food_food', 'drinking_glass', 'water', 'curtain', 'doorjamb', 'dresser', 'food_steak', 'door', 'home_office', 'light']  Task:Drink  response:  {       thoughts : im feeling thirsty im going to kitchen and open the freezer where i can find some cold water and im going to drink it to end up my thirst,       actions : ['[WALK] <dining_room>', '[WALK] <freezer>', '[FIND] <freezer>', '[OPEN] <freezer>', '[FIND] <drinking_glass>', '[GRAB] <drinking_glass>', '[WALK] <water>', '[FIND] <water>', '[GRAB] <water>', '[POUR] <water> <drinking_glass>', '[DRINK] <drinking_glass>']  }     Scene_Objects:['spectacles', 'pot', 'scissors', 'microwave', 'chair', 'walllamp', 'knifeblock', 'food_egg', 'hanger', 'floor', 'ceiling', 'phone', 'keyboard', 'toaster', 'plate', 'faucet', 'clothes_socks', 'food_kiwi', 'wall', 'powersocket', 'clothes_gloves', 'coffe_maker', 'after_shave', 'mouse', 'kitchen_counter', 'dresser', 'cupboard', 'sink', 'bathroom_cabinet', 'dishwasher']  Task:Do dishes  response:

{  Turn on water, rinse off dishes, put in dishwasher. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'food_salt', 'microwave', 'ceilingfan', 'orchid', 'bathroom_counter', 'bookshelf', 'purse', 'stovefan', 'mat', 'iron', 'electric_shaver', 'food_noodles', 'mousepad', 'couch', 'clothes_pants', 'pillow', 'powersocket', 'keys', 'coffe_maker', 'oven_mitts', 'wine', 'shaving_cream', 'pencil', 'kitchen_counter', 'vacuum_cleaner', 'dresser', 'home_office', 'light', 'tooth_paste']  Task:Hang up car keys  response:  {       thoughts : Open the front door. Enter the entrance hall. Take out car keys from purse. Hang car keys up on hook on the wall.,       actions : ['[WALK] <home_office>', '[WALK] <purse>', '[FIND] <purse>', '[OPEN] <purse>', '[FIND] <keys>', '[GRAB] <keys>', '[CLOSE] <purse>']  }     Scene_Objects:['filing_cabinet', 'microwave', 'jelly', 'chair', 'detergent', 'food_butter', 'knifeblock', 'wallshelf', 'kitchen_cabinet', 'floor', 'ceiling', 'button', 'toaster', 'mat', 'plate', 'faucet', 'stereo', 'pillow', 'wall', 'powersocket', 'cup', 'food_food', 'diary', 'pencil', 'kitchen_counter', 'cupboard', 'door', 'sink', 'bathroom_cabinet', 'light']  Task:Get glass of water  response:

{  Get a glass from a cabinet. Hold it under the sink and turn the cold water on. Fill the glass. Turn off the water. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'table_cloth', 'stovefan', 'ceilinglamp', 'mat', 'toaster', 'deck_of_cards', 'window', 'tvstand', 'mousepad', 'pillow', 'wall', 'pasta', 'light_bulb', 'check', 'mouthwash', 'wooden_spoon', 'mouse', 'door', 'table', 'coffee']  Task:Browse internet  response:  {       thoughts : Turn on computer, pull up browser, browse the internet,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[SWITCHON] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>']  }     Scene_Objects:['fork', 'chair', 'freezer', 'knife', 'drawing', 'needle', 'wallshelf', 'floor', 'phone', 'ceiling', 'dvd_player', 'food_bacon', 'ceilinglamp', 'laptop', 'plate', 'shower', 'tvstand', 'tooth_paste', 'wall', 'tape', 'cup', 'novel', 'food_food', 'television', 'coffee_filter', 'hair', 'cupboard', 'table', 'board_game', 'clothes_shirt']  Task:Eat  response:

{  I get my prepared dinner set on the dining table, sit down on chair, pick up utensils, eat food }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'mop', 'toilet', 'ceilingfan', 'drawing', 'orchid', 'bathroom_counter', 'floor', 'ceiling', 'character', 'video_game_console', 'food_cake', 'button', 'ceilinglamp', 'tvstand', 'balanceball', 'stereo', 'window', 'couch', 'wall', 'powersocket', 'tape', 'cup', 'video_game_controller', 'television', 'mouthwash', 'curtain', 'hairdryer', 'table', 'coffee']  Task:Play games  response:  {       thoughts : Turn on the television. Turn on the video game system. Insert desired game into gaming system. Follow directions on game to and push needed buttons on video  game remote controller.,       actions : ['[WALK] <home_office>', '[WALK] <television>', '[FIND] <television>', '[SWITCHON] <television>', '[FIND] <video_game_console>', '[SWITCHON] <video_game_console>', '[FIND] <video_game_controller>', '[GRAB] <video_game_controller>', '[FIND] <button>', '[PUSH] <button>', '[TURNTO] <television>', '[WATCH] <television>']  }     Scene_Objects:['pot', 'food_bread', 'beer', 'toilet', 'freezer', 'walllamp', 'drawing', 'knifeblock', 'floor', 'ceiling', 'desk', 'toaster', 'mat', 'stovefan', 'shower', 'faucet', 'food_orange', 'nightstand', 'wall', 'powersocket', 'oven', 'photoframe', 'coffe_maker', 'tray', 'doorjamb', 'kitchen_counter', 'cupboard', 'door', 'sink', 'light']  Task:Make toast  response:

{  Place slices of bread in a toaster ,wait for the bread to pop up .Set aside. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'microwave', 'dog', 'bathroom', 'drawing', 'orchid', 'wallshelf', 'floor', 'ceiling', 'desk', 'bookshelf', 'keyboard', 'computer', 'toaster', 'mat', 'faucet', 'shower', 'couch', 'wall', 'powersocket', 'newspaper', 'keys', 'wooden_spoon', 'doorjamb', 'centerpiece', 'kitchen_counter', 'door', 'home_office', 'light', 'shoe_rack']  Task:Turn on light  response:  {       thoughts : Switch on light in home office,       actions : ['[WALK] <home_office>', '[WALK] <light>', '[FIND] <light>', '[PLUGIN] <light>', '[SWITCHON] <light>', '[WALK] <home_office>']  }     Scene_Objects:['pot', 'juice', 'microwave', 'freezer', 'blow_dryer', 'ground_coffee', 'cat', 'floor', 'legs_both', 'face', 'toaster', 'laptop', 'homework', 'closetdrawer', 'towel', 'feet_both', 'arms_both', 'basket_for_clothes', 'newspaper', 'photoframe', 'coffe_maker', 'mouthwash', 'centerpiece', 'doorjamb', 'headset', 'dresser', 'cupboard', 'napkin', 'soap', 'clothes_shirt']  Task:Try yourself off  response:

{  After your shower, go into your bedroom and use a towel to dry water off of yourself before dressing. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'freezer', 'ground_coffee', 'detergent', 'drawing', 'bathroom_counter', 'floor', 'ceiling', 'character', 'bedroom', 'stovefan', 'toaster', 'faucet', 'shower', 'closetdrawer', 'candle', 'dining_room', 'wall', 'oven', 'photoframe', 'bed', 'coffe_maker', 'coffee_filter', 'tray', 'doorjamb', 'kitchen_counter', 'cupboard', 'door', 'sink', 'table']  Task:Make coffee  response:  {       thoughts : Make coffee in the kitchen.,       actions : ['[WALK] <dining_room>', '[WALK] <coffe_maker>', '[FIND] <coffe_maker>', '[PLUGIN] <coffe_maker>', '[OPEN] <coffe_maker>', '[FIND] <coffee_filter>', '[GRAB] <coffee_filter>', '[PUTBACK] <coffee_filter> <coffe_maker>', '[FIND] <ground_coffee>', '[GRAB] <ground_coffee>', '[PUTBACK] <ground_coffee> <coffe_maker>', '[CLOSE] <coffe_maker>', '[SWITCHON] <coffe_maker>']  }     Scene_Objects:['filing_cabinet', 'tea', 'measuring_cup', 'band-aids', 'knifeblock', 'cpuscreen', 'dvd_player', 'folder', 'desk', 'bookmark', 'stereo', 'faucet', 'dustpan', 'microphone', 'oven', 'cup', 'bed', 'photoframe', 'check', 'coffe_maker', 'television', 'food_rice', 'pencil', 'shredder', 'controller', 'home_office', 'light', 'table', 'scrabble', 'electrical_outlet']  Task:Shred receipts  response:

{  Take old receipts and put through the shredder }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['fork', 'filing_cabinet', 'chair', 'drawing', 'bills', 'knife', 'floor', 'ceilinglamp', 'stereo', 'window', 'couch', 'food_jam', 'form', 'towel', 'dining_room', 'wall', 'basket_for_clothes', 'photoframe', 'novel', 'food_food', 'check', 'television', 'oven_mitts', 'razor', 'tray', 'pencil', 'dresser', 'pajamas', 'table', 'soap']  Task:Read book  response:  {       thoughts : Sit and read,       actions : ['[WALK] <home_office>', '[WALK] <filing_cabinet>', '[OPEN] <filing_cabinet>', '[FIND] <novel>', '[GRAB] <novel>', '[CLOSE] <filing_cabinet>', '[WALK] <couch>', '[SIT] <couch>', '[READ] <novel>']  }     Scene_Objects:['tablelamp', 'chair', 'jelly', 'walllamp', 'bathroom', 'knife', 'wallshelf', 'floor', 'ceiling', 'bookmark', 'ceilinglamp', 'mat', 'window', 'mousepad', 'couch', 'pillow', 'wall', 'nightstand', 'food_food', 'television', 'toothbrush_holder', 'wooden_spoon', 'kettle', 'shoes', 'cupboard', 'conditioner', 'clothes_dress', 'door', 'napkin', 'light']  Task:Read book  response:

{  Pick up a book and open to the last page you were on. Read the book. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'chair', 'orchid', 'drawing', 'cpuscreen', 'floor', 'ceiling', 'phone', 'desk', 'keyboard', 'food_cake', 'thread', 'computer', 'laptop', 'mat', 'ceilinglamp', 'tvstand', 'mousepad', 'wall', 'nightstand', 'oven', 'pasta', 'television', 'tray', 'doorjamb', 'mouse', 'headset', 'chessboard', 'cupboard', 'door']  Task:Watch movie  response:  {       thoughts : Sit in my deck chair with my laptop, find a good movie on You Tube to watch, plug in earphones and listen to movie quietly so I don't disturb my upstairs neighbor.,       actions : ['[WALK] <home_office>', '[WALK] <laptop>', '[FIND] <laptop>', '[GRAB] <laptop>', '[FIND] <chair>', '[SIT] <chair>', '[SWITCHON] <laptop>', '[FIND] <keyboard>', '[TYPE] <keyboard>', '[FIND] <headset>', '[GRAB] <headset>', '[PUTON] <headset>', '[TURNTO] <laptop>', '[LOOKAT] <laptop>']  }     Scene_Objects:['fork', 'filing_cabinet', 'scissors', 'juice', 'food_salt', 'microwave', 'chair', 'food_butter', 'toothbrush', 'drawing', 'wallshelf', 'bathroom_counter', 'floor', 'button', 'brush', 'ceilinglamp', 'plate', 'wall', 'tape', 'food_food', 'check', 'food_donut', 'wooden_spoon', 'rag', 'door', 'clothes_scarf', 'napkin', 'table', 'light', 'dishwasher']  Task:Eat  response:

{  Serve food on dinning table in appropriate utensils, sit on the chair, eat }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'mop', 'microwave', 'freezer', 'walllamp', 'detergent', 'toothbrush', 'orchid', 'drawing', 'clothes_underwear', 'floor', 'thread', 'mat', 'closetdrawer', 'wall', 'nightstand', 'toy', 'standingmirror', 'light_bulb', 'novel', 'check', 'tray', 'cards', 'mouse', 'pencil', 'vacuum_cleaner', 'headset', 'maindoor', 'napkin', 'light']  Task:Read book  response:  {       thoughts : Walk to the Living Room. Look at the Cabinet. Find a Textbook. Grab the textbook. Open the Textbook. Read the textbook.,       actions : ['[WALK] <home_office>', '[WALK] <filing_cabinet>', '[FIND] <filing_cabinet>', '[TURNTO] <filing_cabinet>', '[LOOKAT] <filing_cabinet>', '[FIND] <novel>', '[GRAB] <novel>', '[READ] <novel>']  }     Scene_Objects:['tablelamp', 'crayon', 'chair', 'freezer', 'walllamp', 'bathroom', 'woman', 'orchid', 'drawing', 'floor', 'ceiling', 'phone', 'computer', 'ceilinglamp', 'tvstand', 'window', 'closetdrawer', 'couch', 'pillow', 'nightstand', 'wall', 'child', 'powersocket', 'check', 'coffe_maker', 'television', 'curtain', 'pencil', 'dresser', 'table']  Task:Watch movie  response:

{  Sitting and watching  a movie with family }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sponge', 'pot', 'juice', 'cd_player', 'toilet', 'freezer', 'trashcan', 'bedroom', 'remote_control', 'button', 'clothes_jacket', 'toaster', 'laptop', 'ceilinglamp', 'plate', 'homework', 'dining_room', 'broom', 'bench', 'tape', 'keys', 'coffe_maker', 'television', 'towel_rack', 'hair', 'cupboard', 'maindoor', 'sink', 'clothes_skirt', 'vase']  Task:Listen to music  response:  {       thoughts : I walk to my living room. Find CD player. Plugin the CD player to Power. Also find the remote control. Push the Botton,       actions : ['[WALK] <home_office>', '[WALK] <cd_player>', '[FIND] <cd_player>', '[PLUGIN] <cd_player>', '[FIND] <remote_control>', '[GRAB] <remote_control>', '[FIND] <button>', '[PUSH] <button>']  }     Scene_Objects:['food_bread', 'toilet', 'walllamp', 'bills', 'drawing', 'cpuscreen', 'bathroom_counter', 'ceiling', 'cleaning_solution', 'mop_bucket', 'table_cloth', 'faucet', 'shower', 'iron', 'clothes_socks', 'pillow', 'wall', 'food_food', 'mirror', 'wine', 'doorjamb', 'coffee_pot', 'paper_towel', 'cupboard', 'conditioner', 'door', 'sink', 'bathroom_cabinet', 'dishwasher', 'scrabble']  Task:Clean mirror  response:

{  First spray the mirrors with Windex or window type spray.  Take paper towels and wipe until sparkly clean.  If they have streaks, repeat the process. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['food_ice_cream', 'microwave', 'toilet', 'chair', 'bathroom_counter', 'floor', 'laptop', 'faucet', 'shower', 'towel', 'wall', 'wall_clock', 'nightstand', 'cup', 'bed', 'photoframe', 'water', 'tray', 'doorjamb', 'towel_rack', 'dresser', 'door', 'sink', 'bathtub', 'bathroom_cabinet', 'light', 'table', 'soap', 'scrabble', 'hands_both']  Task:Wash hands  response:  {       thoughts : Go into the bathroom and go over to the sink. Grab soap and turn on the water. Wet your hands and rub them together so that the soap lathers. Rub the soap all over your hands thoroughly. Rinse off the soap with water and turn off the sink. Dry your hands with a towel.,       actions : ['[WALK] <bathroom>', '[WALK] <sink>', '[FIND] <soap>', '[GRAB] <soap>', '[FIND] <water>', '[GRAB] <water>', '[FIND] <hands_both>', '[POUR] <water> <hands_both>', '[FIND] <hands_both>', '[SCRUB] <hands_both>', '[PUTOBJBACK] <soap>', '[RINSE] <hands_both>', '[FIND] <towel>', '[GRAB] <towel>', '[WIPE] <hands_both>']  }     Scene_Objects:['pot', 'tablelamp', 'chair', 'band-aids', 'walllamp', 'detergent', 'orchid', 'drawing', 'floor', 'ceiling', 'phone', 'video_game_console', 'computer', 'ceilinglamp', 'tvstand', 'mat', 'plate', 'window', 'closetdrawer', 'couch', 'pillow', 'nightstand', 'wall', 'photoframe', 'video_game_controller', 'television', 'curtain', 'dresser', 'table', 'dishwasher']  Task:Play games  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['fork', 'water_glass', 'pot', 'tablelamp', 'microwave', 'drawing', 'knife', 'food_egg', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'toaster', 'stovefan', 'plate', 'shower', 'dish_soap', 'mousepad', 'wall', 'oven', 'photoframe', 'coffe_maker', 'tray', 'towel_rack', 'kitchen_counter', 'cupboard', 'spoon', 'coffee_cup', 'dishwasher', 'light']  Task:Wash dishes with dishwasher  response:  {       thoughts : I go to the kitchen and put plates, cutlery and glasses into the dishwasher, put the soap, close the machine and switch it on.,       actions : ['[WALK] <dining_room>', '[WALK] <dishwasher>', '[FIND] <dishwasher>', '[OPEN] <dishwasher>', '[FIND] <coffee_cup>', '[GRAB] <coffee_cup>', '[PUTBACK] <coffee_cup> <dishwasher>', '[FIND] <coffee_cup>', '[GRAB] <coffee_cup>', '[PUTBACK] <coffee_cup> <dishwasher>', '[FIND] <pot>', '[GRAB] <pot>', '[PUTBACK] <pot> <dishwasher>', '[FIND] <pot>', '[GRAB] <pot>', '[PUTBACK] <pot> <dishwasher>', '[FIND] <fork>', '[GRAB] <fork>', '[PUTBACK] <fork> <dishwasher>', '[FIND] <fork>', '[GRAB] <fork>', '[PUTBACK] <fork> <dishwasher>', '[FIND] <knife>', '[GRAB] <knife>', '[PUTBACK] <knife> <dishwasher>', '[FIND] <knife>', '[GRAB] <knife>', '[PUTBACK] <knife> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <spoon>', '[GRAB] <spoon>', '[PUTBACK] <spoon> <dishwasher>', '[FIND] <spoon>', '[GRAB] <spoon>', '[PUTBACK] <spoon> <dishwasher>', '[FIND] <water_glass>', '[GRAB] <water_glass>', '[PUTBACK] <water_glass> <dishwasher>', '[FIND] <water_glass>', '[GRAB] <water_glass>', '[PUTBACK] <water_glass> <dishwasher>', '[FIND] <dish_soap>', '[GRAB] <dish_soap>', '[PUTBACK] <dish_soap> <dishwasher>', '[CLOSE] <dishwasher>', '[SWITCHON] <dishwasher>']  }     Scene_Objects:['spectacles', 'tablelamp', 'microwave', 'chair', 'wallshelf', 'hanger', 'floor', 'phone', 'food_bacon', 'piano_bench', 'stovefan', 'ceilinglamp', 'shower', 'mousepad', 'closetdrawer', 'powersocket', 'television', 'coin', 'food_donut', 'ice', 'rag', 'pencil', 'shoes', 'dresser', 'clothes_dress', 'clothes_scarf', 'sink', 'bathroom_cabinet', 'light', 'home_office']  Task:Hang up jacket  response:

{  I put clothes on hangers and hang them in the closet }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sponge', 'fork', 'pot', 'sheets', 'food_salt', 'detergent', 'food_butter', 'drawing', 'cpuscreen', 'wallshelf', 'bathroom_counter', 'floor', 'shampoo', 'desk', 'food_cake', 'mat', 'faucet', 'food_kiwi', 'wall', 'powersocket', 'toy', 'novel', 'food_food', 'curtain', 'dresser', 'sink', 'bathroom_cabinet', 'dishwasher', 'soap', 'hands_both']  Task:Wash hands  response:  {       thoughts : Going to the sink and scrubbing hands,       actions : ['[WALK] <bathroom>', '[WALK] <sink>', '[FIND] <sink>', '[FIND] <hands_both>', '[RINSE] <hands_both>', '[SCRUB] <hands_both>', '[RINSE] <hands_both>']  }     Scene_Objects:['food_salt', 'toilet', 'freezer', 'ground_coffee', 'milk', 'orchid', 'ceiling', 'phone', 'character', 'keyboard', 'food_bacon', 'stovefan', 'ceilinglamp', 'tvstand', 'closetdrawer', 'couch', 'dining_room', 'bowl', 'nightstand', 'pasta', 'food_cheese', 'bed', 'novel', 'check', 'food_food', 'coin', 'tray', 'doorjamb', 'diary', 'table']  Task:Look out window  response:

{  I head into my child's room and look out the window to view the neighborhood from a different area in the house. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['microwave', 'chair', 'drawing', 'hanger', 'floor', 'phone', 'ceilinglamp', 'plate', 'iron', 'candle', 'pillow', 'wall', 'bench', 'powersocket', 'oven', 'food_food', 'video_game_controller', 'check', 'wooden_spoon', 'after_shave', 'doorjamb', 'shoes', 'dresser', 'cupboard', 'clothes_dress', 'door', 'conditioner', 'sink', 'table', 'light']  Task:Eat dinner  response:  {       thoughts : Put food on the table, sit down, and eat the food.,       actions : ['[WALK] <dining_room>', '[WALK] <plate>', '[FIND] <plate>', '[GRAB] <plate>', '[FIND] <food_food>', '[GRAB] <food_food>', '[PUTBACK] <food_food> <plate>', '[WALK] <dining_room>', '[WALK] <table>', '[FIND] <table>', '[PUTBACK] <plate> <table>', '[FIND] <chair>', '[SIT] <chair>', '[EAT] <plate>']  }     Scene_Objects:['food_bread', 'tablelamp', 'microwave', 'chair', 'walllamp', 'floor', 'ceiling', 'character', 'bedroom', 'stovefan', 'ceilinglamp', 'faucet', 'oil', 'closetdrawer', 'couch', 'food_peanut_butter', 'pillow', 'dining_room', 'wall', 'nightstand', 'cutting_board', 'photoframe', 'television', 'mouse', 'pencil', 'hairbrush', 'pajamas', 'bathroom_cabinet', 'light', 'teeth']  Task:Read book  response:

{  Bring book, lie on the sofa, read book }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'ceilingfan', 'drawing', 'food_egg', 'floor', 'ceiling', 'bookshelf', 'remote_control', 'button', 'ceilinglamp', 'tvstand', 'balanceball', 'window', 'couch', 'food_jam', 'pillow', 'dining_room', 'wall', 'nightstand', 'photoframe', 'television', 'food_rice', 'curtain', 'kitchen_counter', 'hair', 'home_office', 'table', 'light', 'dishwasher', 'dirt']  Task:Change TV channel  response:  {       thoughts : I go to the living room where the TV is located. I plug in the TV to the outlet. I search for the remote control. I point the remote control directly to the TV, turn it on and push the number of the channel that I want.,       actions : ['[WALK] <home_office>', '[WALK] <television>', '[FIND] <television>', '[PLUGIN] <television>', '[FIND] <remote_control>', '[TURNTO] <television>', '[POINTAT] <television>', '[SWITCHON] <television>', '[FIND] <button>', '[PUSH] <button>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'chair', 'walllamp', 'drawing', 'needle', 'cpuscreen', 'bills', 'floor', 'ceiling', 'phone', 'desk', 'bookshelf', 'keyboard', 'computer', 'mat', 'ceilinglamp', 'mousepad', 'tooth_paste', 'couch', 'pillow', 'towel', 'wall', 'nightstand', 'powersocket', 'television', 'coin', 'razor', 'doorjamb', 'centerpiece', 'mouse', 'door', 'light', 'board_game']  Task:Re arrange office  response:

{  Walk in.Turn on light.Move furniture. Change the room }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['glue', 'crayon', 'freezer', 'nail_polish', 'food_carrot', 'milk', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'ceilinglamp', 'tvstand', 'mousepad', 'dining_room', 'wall', 'powersocket', 'cup', 'bed', 'food_food', 'doorjamb', 'mouse', 'pajamas', 'controller', 'door', 'spoon', 'napkin', 'light', 'dirt']  Task:Get glass of milk  response:  {       thoughts : Get an empty glass. Take milk from refrigerator and open it. Pour milk into glass.,       actions : ['[WALK] <dining_room>', '[WALK] <cup>', '[FIND] <cup>', '[GRAB] <cup>', '[WALK] <freezer>', '[OPEN] <freezer>', '[FIND] <milk>', '[GRAB] <milk>', '[POUR] <milk> <cup>', '[PUTOBJBACK] <milk>', '[CLOSE] <freezer>']  }     Scene_Objects:['dry_pasta', 'pot', 'filing_cabinet', 'food_salt', 'tea', 'chair', 'food_carrot', 'drawing', 'floor', 'ceiling', 'phone', 'dvd_player', 'bookshelf', 'stovefan', 'mat', 'mousepad', 'food_noodles', 'dining_room', 'wall', 'powersocket', 'oven', 'cup', 'check', 'rag', 'doorjamb', 'cd', 'hairbrush', 'dresser', 'door', 'light']  Task:Turn on light  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['tablelamp', 'toilet', 'chair', 'walllamp', 'trashcan', 'ceilingfan', 'drawing', 'cpuscreen', 'hanger', 'floor', 'ceiling', 'phone', 'desk', 'keyboard', 'bookshelf', 'computer', 'laptop', 'shoe-shine_kit', 'balanceball', 'picture', 'ceilinglamp', 'mousepad', 'wall', 'nightstand', 'newspaper', 'photoframe', 'doorjamb', 'mouse', 'dresser', 'cupboard', 'door', 'light']  Task:Work  response:  {       thoughts : I need to finish some work on my computer in my home office to meet a deadline for tomorrow.,       actions : ['[WALK] <home_office>', '[WALK] <light>', '[FIND] <light>', '[SWITCHON] <light>', '[FIND] <keyboard>', '[GRAB] <keyboard>', '[FIND] <desk>', '[OPEN] <desk>', '[PUTBACK] <keyboard> <desk>', '[FIND] <mouse>', '[GRAB] <mouse>', '[FIND] <mousepad>', '[PUTBACK] <mouse> <mousepad>', '[PLUGIN] <keyboard>', '[PLUGIN] <mouse>', '[FIND] <computer>', '[SWITCHON] <computer>', '[FIND] <chair>', '[SIT] <chair>', '[TURNTO] <computer>', '[TYPE] <keyboard>', '[GRAB] <mouse>', '[TOUCH] <mouse>', '[LOOKAT] <computer>']  }     Scene_Objects:['pot', 'filing_cabinet', 'toilet', 'knifeblock', 'wallshelf', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'bookshelf', 'mat', 'tvstand', 'faucet', 'couch', 'pillow', 'wall', 'powersocket', 'bed', 'clothes_gloves', 'novel', 'toilet_paper', 'doorjamb', 'coffee_pot', 'mouse', 'kitchen_counter', 'door', 'napkin', 'bathroom_cabinet', 'light']  Task:Turn off light  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['beer', 'tea', 'chair', 'walllamp', 'ground_coffee', 'bills', 'orchid', 'bathroom_counter', 'floor', 'phone', 'ceiling', 'mail', 'ceilinglamp', 'mat', 'iron', 'stereo', 'faucet', 'clothes_socks', 'clothes_hat', 'basket_for_clothes', 'food_rice', 'curtain', 'lighter', 'doorjamb', 'towel_rack', 'vacuum_cleaner', 'dishrack', 'cd', 'napkin', 'home_office']  Task:Turn on light  response:  {       thoughts : I go to bedroom and locate a lamp. This lamp can be turned on by touch, as it has capacitive sensing. So I do it.,       actions : ['[WALK] <bedroom>', '[WALK] <floor_lamp>', '[FIND] <floor_lamp>', '[TOUCH] <floor_lamp>', '[SWITCHON] <floor_lamp>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'microwave', 'detergent', 'knife', 'bills', 'bathroom_counter', 'phone', 'folder', 'bedroom', 'character', 'computer', 'toaster', 'stovefan', 'mat', 'window', 'mousepad', 'pillow', 'oven', 'check', 'coffe_maker', 'razor', 'after_shave', 'mouse', 'kitchen_counter', 'shoes', 'dresser', 'pajamas', 'sink', 'bag']  Task:Get dressed  response:

{  I get dressed in my bedroom in the mornings. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['fork', 'tablelamp', 'food_ice_cream', 'walllamp', 'bathroom', 'ceilingfan', 'trashcan', 'woman', 'drawing', 'orchid', 'food_egg', 'bathroom_counter', 'floor', 'bedroom', 'man', 'ceilinglamp', 'window', 'couch', 'wall', 'bench', 'cup', 'newspaper', 'novel', 'check', 'television', 'towel_rack', 'clothes_dress', 'table', 'clothes_skirt', 'creditcard']  Task:Hang with friends  response:  {       thoughts : Sit with friends. Talk,       actions : ['[WALK] <home_office>', '[WALK] <man>', '[FIND] <man>', '[TURNTO] <man>', '[LOOKAT] <man>', '[GREET] <man>', '[FIND] <woman>', '[TURNTO] <woman>', '[LOOKAT] <woman>', '[GREET] <woman>', '[WALK] <couch>', '[SIT] <couch>', '[TURNTO] <man>', '[LOOKAT] <man>', '[GREET] <man>', '[TURNTO] <woman>', '[LOOKAT] <woman>', '[GREET] <woman>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'band-aids', 'bathroom', 'cat', 'orchid', 'wallshelf', 'hanger', 'floor', 'phone', 'character', 'bedroom', 'purse', 'computer', 'table_cloth', 'tvstand', 'powersocket', 'toy', 'clothes_gloves', 'coffe_maker', 'razor', 'food_onion', 'centerpiece', 'headset', 'chessboard', 'cupboard', 'door', 'home_office', 'table', 'laser_pointer']  Task:Open door  response:

{  I walk up to the door.  I use my hand to turn the door knob to the left.  I pull the door open with the same hand I used to turn the door knob }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'freezer', 'ceilingfan', 'drawing', 'knifeblock', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'keyboard', 'bookshelf', 'faucet', 'picture', 'window', 'dustpan', 'towel', 'wall', 'nightstand', 'photoframe', 'keys', 'toothbrush_holder', 'food_donut', 'mouse', 'kitchen_counter', 'sink', 'bathroom_cabinet', 'table', 'vase', 'soap', 'hands_both']  Task:Wash hands  response:  {       thoughts : Cleaning hands,       actions : ['[WALK] <bathroom>', '[WALK] <faucet>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <soap>', '[GRAB] <soap>', '[FIND] <hands_both>', '[SCRUB] <hands_both>', '[PUTOBJBACK] <soap>', '[RINSE] <hands_both>', '[SWITCHOFF] <faucet>', '[FIND] <towel>', '[GRAB] <towel>', '[WIPE] <hands_both>', '[PUTOBJBACK] <towel>']  }     Scene_Objects:['filing_cabinet', 'tablelamp', 'chair', 'ground_coffee', 'woman', 'orchid', 'wallshelf', 'cpuscreen', 'hanger', 'shampoo', 'floor', 'ceiling', 'bookshelf', 'food_noodles', 'closetdrawer', 'mousepad', 'couch', 'towel', 'wall', 'food_food', 'television', 'kettle', 'mouse', 'cards', 'vacuum_cleaner', 'dresser', 'door', 'hairdryer', 'dishwasher', 'clothes_shirt']  Task:Greet guests  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['dry_pasta', 'fork', 'filing_cabinet', 'chair', 'cat', 'drawing', 'hanger', 'floor', 'character', 'tea_bag', 'mat', 'picture', 'electric_shaver', 'couch', 'food_jam', 'towel', 'dining_room', 'wall', 'oven', 'coffe_maker', 'tray', 'curtain', 'doorjamb', 'diary', 'cards', 'cupboard', 'door', 'bathroom_cabinet', 'light', 'tooth_paste']  Task:Read book  response:  {       thoughts : pick up  the book open the book and read,       actions : ['[WALK] <bedroom>', '[WALK] <novel>', '[GRAB] <novel>', '[READ] <novel>']  }     Scene_Objects:['tablelamp', 'chair', 'walllamp', 'orchid', 'floor', 'ceiling', 'character', 'computer', 'ceilinglamp', 'tvstand', 'shower', 'faucet', 'window', 'deck_of_cards', 'closetdrawer', 'couch', 'dustpan', 'pillow', 'food_kiwi', 'nightstand', 'wall', 'cup', 'coffe_maker', 'television', 'food_rice', 'curtain', 'dresser', 'napkin', 'table', 'light']  Task:Watch TV  response:

{  I sit on my couch and watch TV in my living room }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['filing_cabinet', 'walllamp', 'bathroom', 'drawing', 'cpuscreen', 'wallshelf', 'floor', 'ceiling', 'character', 'tea_bag', 'computer', 'table_cloth', 'toaster', 'mat', 'tvstand', 'stovefan', 'electric_shaver', 'couch', 'pillow', 'wall', 'basket_for_clothes', 'newspaper', 'coffee_table', 'photoframe', 'video_game_controller', 'television', 'doorjamb', 'dresser', 'cupboard', 'dishwasher']  Task:Read magazine  response:  {       thoughts : Get magazine off coffee table. Sit in arm chair. Open magazine to first page. Read until finished.,       actions : ['[WALK] <home_office>', '[WALK] <coffee_table>', '[FIND] <newspaper>', '[GRAB] <newspaper>', '[FIND] <couch>', '[SIT] <couch>', '[READ] <newspaper>', '[PUTBACK] <newspaper> <coffee_table>']  }     Scene_Objects:['pot', 'filing_cabinet', 'measuring_cup', 'freezer', 'ground_coffee', 'drawing', 'knifeblock', 'clothes_underwear', 'hanger', 'floor', 'desk', 'stamp', 'bookshelf', 'food_cake', 'table_cloth', 'bookmark', 'mat', 'clothes_hat', 'wall', 'pasta', 'powersocket', 'toy', 'box', 'food_cheese', 'light_bulb', 'doorjamb', 'lighter', 'kitchen_counter', 'door', 'light']  Task:Clean  response:

{  Enter inside kid's room, begin picking up toys from the floor and putting them in a toy box, leave once once. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sheets', 'tablelamp', 'microwave', 'toilet', 'chair', 'drawing', 'orchid', 'cpuscreen', 'hanger', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'mat', 'ceilinglamp', 'tvstand', 'mousepad', 'wall', 'nightstand', 'box', 'novel', 'toilet_paper', 'television', 'mouse', 'dresser', 'door', 'food_steak', 'clothes_skirt', 'tooth_paste']  Task:Read book  response:  {       thoughts :  walk to entrance   walk to living room   look for book   find book   pick up book   look for chair   find chair   sit in chair   read book ,       actions : ['[WALK] <home_office>', '[WALK] <home_office>', '[WALK] <novel>', '[FIND] <novel>', '[TURNTO] <novel>', '[LOOKAT] <novel>', '[FIND] <novel>', '[FIND] <chair>', '[TURNTO] <chair>', '[LOOKAT] <chair>', '[SIT] <chair>', '[GRAB] <novel>', '[READ] <novel>']  }     Scene_Objects:['sheets', 'sponge', 'crayon', 'microwave', 'walllamp', 'bathroom', 'drawing', 'clothes_underwear', 'floor', 'bookshelf', 'button', 'stovefan', 'mat', 'stereo', 'mousepad', 'clothes_hat', 'bowl', 'nightstand', 'wall', 'bed', 'photoframe', 'light_bulb', 'food_food', 'television', 'kitchen_counter', 'dresser', 'door', 'sink', 'clothes_skirt', 'scrabble']  Task:Breakfast  response:

{  I have breakfast in bed, watching tv. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['sheets', 'pot', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'shampoo', 'desk', 'keyboard', 'computer', 'table_cloth', 'stovefan', 'ceilinglamp', 'mat', 'plate', 'stereo', 'mousepad', 'wall', 'bench', 'television', 'wine', 'rag', 'lighter', 'shaving_cream', 'mouse', 'hairbrush', 'door', 'table']  Task:Write an email  response:  {       thoughts : walk to living room, look at computer, find chair, sit in chair, grab keyboard, grab mouse, type using keyboard and mouse,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[WALK] <computer>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <keyboard>', '[GRAB] <keyboard>', '[FIND] <mouse>', '[GRAB] <mouse>', '[TYPE] <keyboard>']  }     Scene_Objects:['food_bread', 'filing_cabinet', 'tablelamp', 'food_ice_cream', 'beer', 'crayon', 'chair', 'knifeblock', 'cpuscreen', 'bathroom_counter', 'phone', 'desk', 'bedroom', 'bookshelf', 'thread', 'toaster', 'ceilinglamp', 'mousepad', 'closetdrawer', 'pillow', 'wall', 'cup', 'bed', 'keys', 'food_food', 'television', 'food_onion', 'doorjamb', 'mouse', 'home_office']  Task:Lock door  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'tablelamp', 'walllamp', 'bathroom', 'cat', 'ceilingfan', 'knifeblock', 'phone', 'character', 'brush', 'toaster', 'mat', 'faucet', 'ceilinglamp', 'shower', 'window', 'couch', 'wall_clock', 'cup', 'newspaper', 'food_onion', 'lighter', 'towel_rack', 'mouse', 'kitchen_counter', 'headset', 'cupboard', 'table', 'vase', 'laser_pointer']  Task:Pet cat  response:  {       thoughts : Every time this animal is seen, you must approach it and show compassion for it by petting it in a gentle manner.,       actions : ['[WALK] <home_office>', '[WALK] <bedroom>', '[WALK] <bedroom>', '[WALK] <home_office>', '[WALK] <home_office>', '[WALK] <cat>', '[FIND] <cat>', '[FIND] <brush>', '[GRAB] <brush>']  }     Scene_Objects:['sponge', 'microwave', 'chair', 'jelly', 'knifeblock', 'floor', 'ceiling', 'character', 'alcohol', 'toaster', 'plate', 'faucet', 'drying_rack', 'window', 'tvstand', 'dish_soap', 'closetdrawer', 'couch', 'towel', 'pillow', 'food_kiwi', 'wall', 'toy', 'novel', 'curtain', 'kitchen_counter', 'cupboard', 'sink', 'instrument_guitar', 'shoe_rack']  Task:Do dishes  response:

{  Wash dirty dishes, dry them and then put them away }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['pot', 'crayon', 'detergent', 'ceilingfan', 'food_carrot', 'milk', 'drawing', 'knifeblock', 'food_egg', 'floor', 'phone', 'desk', 'bookshelf', 'envelope', 'ceilinglamp', 'window', 'mousepad', 'couch', 'wall', 'food_cheese', 'novel', 'television', 'food_rice', 'after_shave', 'towel_rack', 'kitchen_counter', 'comb', 'table', 'dishwasher', 'creditcard']  Task:Relax on sofa  response:  {       thoughts : I walk to the living room and find the sofa. I sit on the sofa and get comfortable.,       actions : ['[WALK] <home_office>', '[WALK] <couch>', '[FIND] <couch>', '[SIT] <couch>']  }     Scene_Objects:['sheets', 'scissors', 'chair', 'dog', 'ground_coffee', 'knife', 'needle', 'bills', 'bathroom_counter', 'floor', 'phone', 'bookshelf', 'bookmark', 'ceilinglamp', 'faucet', 'shower', 'picture', 'food_noodles', 'clothes_socks', 'mousepad', 'pillow', 'wall', 'photoframe', 'food_food', 'tray', 'kitchen_counter', 'sink', 'bag', 'home_office', 'table']  Task:Sit  response:


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['freezer', 'bathroom', 'detergent', 'orchid', 'cpuscreen', 'floor', 'phone', 'desk', 'bedroom', 'purse', 'computer', 'table_cloth', 'bookmark', 'stovefan', 'stereo', 'oil', 'closetdrawer', 'coffe_maker', 'television', 'food_donut', 'food_rice', 'tray', 'centerpiece', 'doorjamb', 'pencil', 'maindoor', 'sink', 'home_office', 'table', 'clothes_skirt']  Task:Read book  response:  {       thoughts : Walk to living room. Find book. Grab book. Open book. Read book.,       actions : ['[WALK] <home_office>', '[WALK] <novel>', '[FIND] <novel>', '[GRAB] <novel>', '[READ] <novel>']  }     Scene_Objects:['tablelamp', 'scissors', 'food_carrot', 'hanger', 'phone', 'desk', 'keyboard', 'computer', 'stovefan', 'deck_of_cards', 'faucet', 'window', 'closetdrawer', 'microphone', 'pillow', 'box', 'bed', 'photoframe', 'check', 'food_onion', 'diary', 'pencil', 'shoes', 'dishrack', 'dresser', 'laundry_detergent', 'spoon', 'soap', 'tooth_paste', 'shoe_rack']  Task:Take off shoes  response:

{  Bend down to reach your feet. Shift balance to one leg. Grab the shoe of the foot of the other leg, it is best to use one hand to grip near the front, and one towards the heel. Pull the shoe down toward the ground while also pushing on the heel away from the body. Repeat with other shoe. Place shoes in a designated area. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['glue', 'filing_cabinet', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'hanger', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'keyboard', 'bookshelf', 'computer', 'ceilinglamp', 'mat', 'shoe-shine_kit', 'mousepad', 'pillow', 'wall', 'powersocket', 'cup', 'bed', 'wooden_spoon', 'coffee_pot', 'mouse', 'kitchen_counter', 'door', 'home_office', 'table']  Task:Write an email  response:  {       thoughts : I walk to the Home Office then find the computer and sit in the chair. I switch on the computer and start typing the email. I switch the computer off.,       actions : ['[WALK] <home_office>', '[WALK] <computer>', '[FIND] <computer>', '[FIND] <chair>', '[SIT] <chair>', '[SWITCHON] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[FIND] <keyboard>', '[TYPE] <keyboard>', '[SWITCHOFF] <computer>']  }     Scene_Objects:['pot', 'filing_cabinet', 'food_pizza', 'tablelamp', 'beer', 'freezer', 'blow_dryer', 'drawing', 'needle', 'cpuscreen', 'floor', 'desk', 'bookshelf', 'mat', 'mousepad', 'form', 'wall', 'powersocket', 'food_cheese', 'food_food', 'check', 'doorjamb', 'mouse', 'chessboard', 'dresser', 'laundry_detergent', 'door', 'hairdryer', 'light', 'board_game']  Task:Put clothes away  response:

{  I take clean clothes and either place them in dresser drawers or hang them in a closet. }


Input: You serve as an AI task planner.   1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format  [verb] <target1> <target2> , where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.  2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.   Ensure that you response can be parsed by Python json.loads.      Here is an example plan to achieve a goal for reference:   Scene_Objects:['dry_pasta', 'chair', 'freezer', 'walllamp', 'food_butter', 'bills', 'cpuscreen', 'bathroom_counter', 'phone', 'ceiling', 'character', 'bedroom', 'computer', 'stovefan', 'ceilinglamp', 'faucet', 'floor_lamp', 'window', 'mousepad', 'closetdrawer', 'couch', 'oven', 'cup', 'photoframe', 'television', 'kitchen_counter', 'dresser', 'bathroom_cabinet', 'table', 'light']  Task:Turn on light  response:  {       thoughts : Walk over to light switch, flip the switch to the on position,       actions : ['[WALK] <home_office>', '[WALK] <floor_lamp>', '[SWITCHON] <floor_lamp>']  }     Scene_Objects:['pot', 'food_pizza', 'ground_coffee', 'walllamp', 'food_carrot', 'knifeblock', 'floor', 'ceiling', 'character', 'computer', 'piano_bench', 'stovefan', 'toaster', 'tvstand', 'faucet', 'oil', 'pillow', 'wall', 'oven', 'powersocket', 'food_food', 'water', 'tray', 'after_shave', 'doorjamb', 'kitchen_counter', 'dresser', 'cupboard', 'door', 'dishwasher']  Task:Make coffee  response: