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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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[2.9,29,10022,603315,323,[-0.098389015,-0.06564836,0.47659007],[3.0546183586120605,-0.1628459095954895,1.4506031274795532],[-0.8486941,0.81447107,1.935109,-2.510812,-0.9738617,2.1226285,1.0540754],[-1.0],[0.21257275,0.0013636136,0.030664353],[-0.046475257724523544,-0.02834419533610344,-0.15417514741420746],[-1.0]]
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[3.2,32,10022,603318,323,[-0.08653039,-0.06563582,0.47823265],[3.049487352371216,-0.16628868877887726,1.4293149709701538],[-0.85128963,0.8078079,1.9229952,-2.493667,-0.9783104,2.1237845,1.0559416],[-1.0],[0.17503357,0.0035177497,0.016254392],[-0.04816529154777527,-0.0229667816311121,-0.10594392567873001],[-1.0]]
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