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frame_index;\n  optional int64 field_id=-1 episode_index;\n  optional int64 field_id=-1 index;\n  optional int64 field_id=-1 task_index;\n  optional group field_id=-1 state.ee_pos (List) {\n    repeated group field_id=-1 list {\n      optional float field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 state.ee_rot (List) {\n    repeated group field_id=-1 list {\n      optional double field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 state.joints (List) {\n    repeated group field_id=-1 list {\n      optional float field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 state.gripper (List) {\n    repeated group field_id=-1 list {\n      optional float field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 action.delta_ee_pos (List) {\n    repeated group field_id=-1 list {\n      optional float field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 action.delta_ee_rot (List) {\n    repeated group field_id=-1 list {\n      optional double 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\"pandas_type\": \"list[float32]\", \"numpy_type\": \"object\", \"metadata\": null}], \"creator\": {\"library\": \"pyarrow\", \"version\": \"17.0.0\"}, \"pandas_version\": \"2.0.3\"}"]]}
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[3.0,30,10020,603204,196,[0.23594654,0.06048679,0.47412232],[3.0505120754241943,-0.08508714288473129,1.4614957571029663],[0.065037034,1.2083622,1.4050931,-1.1235136,-1.2357502,1.6635633,0.49084982],[-1.0],[-0.04694209,0.2157693,-0.055015408],[0.03384048119187355,0.1229393482208252,0.12493715435266495],[-1.0]]
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[3.2,32,10020,603206,196,[0.23545676,0.0686899,0.47350532],[3.051339626312256,-0.08125311881303787,1.4665625095367432],[0.1024831,1.2171007,1.3994521,-1.0778044,-1.2411879,1.6528894,0.47863045],[-1.0],[0.03662622,0.17557715,0.06556887],[-0.044628020375967026,-0.06531406193971634,-0.09660022705793381],[-1.0]]
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