Subset (4)

libero_10 · 193k rows

Split (1)

train · 193k rows

image imagewidth (px) 256 256	wrist imagewidth (px) 256 256	conversations dict	annotation stringlengths 8 51 ⌀
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_55><DEPTH_56><DEPTH_69><DEPTH_125><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_84><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_25><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_116><DEPTH_75><DEPTH_30><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[93,87],[74,168],[153,81],[170,77],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥±, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİĳ], [ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİĳ], [ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥±, à²Ł, ï±Ĭ, íĽľ, à°µ, âļ£, ðŁİĳ], [ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİĳ], [ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ]]." ] }	[[93,87],[74,168],[153,81],[170,77],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_28><DEPTH_56><DEPTH_69><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_84><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_116><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_75><DEPTH_125><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[100,84],[73,161],[153,77],[180,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİĳ], [ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥, à²Ł, ï±Ĭ, íķ±, à°µ, âĺµ, ðŁİĳ], [ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	[[100,84],[73,161],[153,77],[180,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_56><DEPTH_69><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_30><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_8><DEPTH_26><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_125><DEPTH_8><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,137],[73,161],[153,77],[180,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĳ³, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	[[78,137],[73,161],[153,77],[180,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_32><DEPTH_8><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_28><DEPTH_25><DEPTH_9><DEPTH_26><DEPTH_75><DEPTH_103><DEPTH_30><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_125><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_25><DEPTH_84><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_125><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_101><DEPTH_125><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[89,125],[73,161],[151,79],[180,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, íĥĻ, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ]]." ] }	[[89,125],[73,161],[151,79],[180,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_8><DEPTH_32><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_116><DEPTH_26><DEPTH_101><DEPTH_84><DEPTH_125><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_125><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_84><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_125><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[84,125],[73,164],[151,79],[180,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, áħ£, íķ±, à°µ, âĶŀ, ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ]]." ] }	[[84,125],[73,164],[151,79],[180,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_69><DEPTH_56><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_26><DEPTH_56><DEPTH_84><DEPTH_30><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_75><DEPTH_101><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_30><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_125><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,135],[78,168],[153,66],[180,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, ï¦ĥ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ]]." ] }	[[78,135],[78,168],[153,66],[180,89],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_116><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_30><DEPTH_9><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_125><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,146],[78,168],[153,66],[180,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, àºĤ, ðĲ¤Ķ, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ]]." ] }	[[78,146],[78,168],[153,66],[180,89],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_25><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_125><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_30><DEPTH_25><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_30><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[71,145],[78,158],[153,59],[180,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, ï±Ĭ, ðĲ°¼, à°µ, á¸», ðŁİĳ], [ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ]]." ] }	[[71,145],[78,158],[153,59],[180,89],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_69><DEPTH_55><DEPTH_75><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_75><DEPTH_32><DEPTH_25><DEPTH_125><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_30><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_75><DEPTH_75><DEPTH_116><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_30><DEPTH_28><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,148],[79,165],[153,59],[180,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, ï±Ĭ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ]]." ] }	[[73,148],[79,165],[153,59],[180,89],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_69><DEPTH_74><DEPTH_26><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_28><DEPTH_125><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_30><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_55><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_125><DEPTH_69><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[76,155],[81,166],[153,59],[181,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, ðĿĻľ, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ]]." ] }	[[76,155],[81,166],[153,59],[181,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_69><DEPTH_74><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_125><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_125><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,152],[81,166],[153,59],[181,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, ðŁħ¢, à°µ, á¸ĥ, ðŁİĳ], [ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ]]." ] }	[[78,152],[81,166],[153,59],[181,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_69><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_32><DEPTH_8><DEPTH_74><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,153],[79,153],[157,57],[181,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĸ¥¨, à²Ł, ê¦Ķ, Ê¶, à°µ, á¸ĥ, ðŁİĳ], [ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ]]." ] }	[[79,153],[79,153],[157,57],[181,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_74><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,161],[97,155],[157,57],[181,59],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĲ±ħ, à°µ, ê¦Ķ, à¤ĳ, à°µ, á¸ĥ, ðŁİĳ], [ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥]]." ] }	[[78,161],[97,155],[157,57],[181,59],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_74><DEPTH_69><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,157],[84,150],[161,62],[179,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¥ł, Ý¥, ãħĸ, à°µ, à°µ, á¨ģ, ðŁİĳ], [íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥]]." ] }	[[79,157],[84,150],[161,62],[179,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_74><DEPTH_69><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_103><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_69><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,161],[84,150],[161,62],[179,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, È², âŁ°, áī¨, à°µ, áłĦ, ðŁİĳ], [ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥]]." ] }	[[79,161],[84,150],[161,62],[179,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_9><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_103><DEPTH_101><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,157],[97,157],[165,63],[179,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, ðŁħ¢, á¤Ĭ, áĮĦ, à¤ĳ, áłĦ, ðŁİĳ], [âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥]]." ] }	[[79,157],[97,157],[165,63],[179,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_103><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,66],[97,97],[165,63],[179,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, ðĿļģ, àłĮ, áĮĶ, ÔĪ, á¨ģ, ðŁİĳ], [áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥]]." ] }	[[79,66],[97,97],[165,63],[179,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,164],[104,142],[156,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðĲ°¼, ðĿĻ¿, áłĦ, ðŁıĩ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	[[78,164],[104,142],[156,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,164],[104,142],[156,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĵ°, ðĿĻ¸, á¨ģ, ðĿĻľ, á¸ĥ, ðŁİĳ], [áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	[[78,164],[104,142],[156,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_56><DEPTH_28><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_74><DEPTH_32><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,161],[115,74],[159,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿļģ, ðĿĺĲ, á¨ģ, ðĲ°¼, âĶŀ, Ý¥], [áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	[[78,161],[115,74],[159,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_69><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,161],[97,87],[159,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðŁħ¢, ðĸ¥¨, âĺµ, ðŁħ¢, â²¢, Ý¥], [áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	[[78,161],[97,87],[159,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_56><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_69><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,164],[104,84],[161,55],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĵ°, íĵ¶, âĺµ, à¥±, ê²Ļ, Ý¥], [áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥]]." ] }	[[73,164],[104,84],[161,55],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_56><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,71],[104,84],[161,55],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðŁħ¢, ê³Ĥ, âĺµ, à°µ, ìĨĬ, Ý¥], [áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥]]." ] }	[[78,71],[104,84],[161,55],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_56><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,71],[119,84],[168,56],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, âĺµ, âĺµ, à°µ, íĭį, Ý¥], [áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥]]." ] }	[[78,71],[119,84],[168,56],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_84><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,71],[93,88],[168,56],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, áĴĮ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥]]." ] }	[[73,71],[93,88],[168,56],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,71],[120,84],[168,55],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ê¶, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥]]." ] }	[[73,71],[120,84],[168,55],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,71],[120,84],[168,55],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ÔĪ, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥]]." ] }	[[78,71],[120,84],[168,55],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_9><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,71],[128,100],[170,56],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, Ý¥, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥]]." ] }	[[78,71],[128,100],[170,56],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[77,71],[119,84],[170,56],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à¬ī, áĮĶ, âĺµ, à°µ, íĵ®, Ý¥], [áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥]]." ] }	[[77,71],[119,84],[170,56],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_30><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[71,161],[124,87],[174,59],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, áĮĶ, âĺµ, à°µ, íĵ¬, Ý¥], [áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥]]." ] }	[[71,161],[124,87],[174,59],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,71],[124,87],[174,59],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, à°³, âļ£, à°µ, ì¼ĩ, Ý¥], [áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥]]." ] }	[[78,71],[124,87],[174,59],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_30><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,70],[135,88],[174,56],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ÔĪ, ê²´, à°µ, ìĨĬ, Ý¥], [áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥]]." ] }	[[78,70],[135,88],[174,56],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_30><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_69><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[77,71],[127,77],[174,56],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ï§©, íĵ», à°µ, ê³Ĥ, Ý¥], [áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥]]." ] }	[[77,71],[127,77],[174,56],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_55><DEPTH_9><DEPTH_56><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_84><DEPTH_55><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[74,168],[135,86],[176,56],[179,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, â¡¢, ðĿĶĵ, à°µ, ä¶µ, Ý¥], [áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥]]." ] }	[[74,168],[135,86],[176,56],[179,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_69><DEPTH_28><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_30><DEPTH_28><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_125><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,161],[135,86],[176,56],[179,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, áĢı, áĪĬ, ðĿĻ¿, à°µ, ä¶µ, Ý¥], [áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥]]." ] }	[[73,161],[135,86],[176,56],[179,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_56><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_56><DEPTH_28><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,161],[119,76],[176,57],[179,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, á¸ĥ, ìĭ², ÆĪ, à°µ, âļ£, Ý¥], [áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥]]." ] }	[[73,161],[119,76],[176,57],[179,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_9><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[73,164],[140,68],[176,57],[179,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, íĵ¬, âļ§, ðĿĻ½, à°µ, âĺµ, Ý¥], [áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥]]." ] }	[[73,164],[140,68],[176,57],[179,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_9><DEPTH_116><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_103><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,168],[135,65],[176,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿķ±, ðŁķĿ, ìĨĬ, à°µ, â²¢, Ý¥], [áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥]]." ] }	[[78,168],[135,65],[176,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_116><DEPTH_69><DEPTH_8><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_103><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_116><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_125><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[78,158],[135,65],[176,59],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĻ¸, ðŁĶĥ, âļ£, ÔĪ, ä¶µ, Ý¥], [áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥]]." ] }	[[78,158],[135,65],[176,59],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_74><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_9><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_30><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,165],[145,84],[171,54],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ðĿĻ¿, ðŁĴº, âļ£, ï§©, ä¶µ, Ý¥], [áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥]]." ] }	[[79,165],[145,84],[171,54],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_8><DEPTH_30><DEPTH_55><DEPTH_125><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_26><DEPTH_116><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_30><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[81,166],[145,81],[171,54],[179,68],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ÆĪ, ðŁİĳ, ãĪª, íĽľ, ä¶µ, Ý¥], [áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥]]." ] }	[[81,166],[145,81],[171,54],[179,68],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_26><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_32><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_56><DEPTH_9><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[79,153],[151,77],[171,54],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âĿª, ðŁİĳ, âĺµ, ìľ¾, ä¶µ, Ý¥], [áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥]]." ] }	[[79,153],[151,77],[171,54],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_75><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_56><DEPTH_101><DEPTH_103><DEPTH_84><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_26><DEPTH_9><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_28><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[97,155],[151,77],[171,54],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, ï±Ĭ, ðŁİĳ, âĺµ, âĻĻ, ãĪª, Ý¥], [áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥]]." ] }	[[97,155],[151,77],[171,54],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_75><DEPTH_55><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_76><DEPTH_84><DEPTH_101><DEPTH_28><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_9><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_9><DEPTH_101><DEPTH_125><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[84,150],[145,77],[170,57],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, âĨ¤, ðŁıĴ, âĺµ, áĮ½, â²¢, Ý¥], [áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥]]." ] }	[[84,150],[145,77],[170,57],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_101><DEPTH_28><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_116><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_32><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_69><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[97,157],[153,81],[170,57],[170,71],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĭ©, ï¨·, ðŁĵŁ, âĺµ, à½ħ, â²¢, Ý¥], [áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥]]." ] }	[[97,157],[153,81],[170,57],[170,71],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_75><DEPTH_116><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_25><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_116><DEPTH_125><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_9><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_28><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_32><DEPTH_30><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[97,97],[153,77],[174,59],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĬĴ, â°ł, ðŁķ¢, âĺµ, ë¯ĳ, â²¢, Ý¥], [áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥]]." ] }	[[97,97],[153,77],[174,59],[170,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_9><DEPTH_74><DEPTH_75><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_30><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_25><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_30><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_25><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[104,142],[153,77],[174,59],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°ł, ðŁĸĳ, âĺµ, âĦ¬, â²¢, Ý¥], [áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥]]." ] }	[[104,142],[153,77],[174,59],[170,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_26><DEPTH_32><DEPTH_103><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_28><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_56><DEPTH_125><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[115,74],[151,79],[170,57],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°ł, áºĢ, âĺµ, Ñ¨, ãĪª, Ý¥], [áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥]]." ] }	[[115,74],[151,79],[170,57],[170,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_116><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_30><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_101><DEPTH_26><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_9><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[97,87],[153,66],[170,57],[170,73],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ł, âĽ¤, âĺµ, ðŁĸĩ, ä¶µ, Ý¥], [áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥]]." ] }	[[97,87],[153,66],[170,57],[170,73],[174,91]]
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?", "The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_28><DEPTH_9><DEPTH_125><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_55><DEPTH_125><DEPTH_84><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_56><DEPTH_26><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_74><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_25><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_25><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[104,84],[153,59],[174,56],[170,74],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸĳ, ê²´, Ý¥]]." ] }	null
		{ "from": [ "human", "gpt" ], "value": [ "The task is pick up the book and place it in the back compartment of the caddy. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?", "Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ĳ, ë¡ĳ, âĺµ, ðŁķł, ê²´, Ý¥], [áĮĦ, â°Ĳ, ìī¡, âĺµ, ðŁķĿ, ê²´, Ý¥], [áĮĦ, â°į, ìĿ©, â²¢, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, â°Ĥ, ìł°, ê²´, ðŁķĿ, ê³Ĥ, Ý¥], [áĮĦ, âĴ¡, ðŁħ±, íĵ®, ðŁķł, ê³Ĥ, Ý¥], [áĮĦ, âĢ´, Éĺ, ðĲŃĬ, ðŁĸĩ, ê²´, Ý¥], [áĮĦ, âĶ², à´´, ðĿĵ¹, ðŁĸĩ, ê²Ļ, Ý¥], [áĮĦ, ðĵı§, à½ħ, ðĿĵ¾, ðŁĸĳ, ê²´, Ý¥]]." ] }	[[104,84],[153,59],[174,56],[170,74],[174,91]]

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