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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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[2.9,29,10014,602891,196,[-0.0036784136,0.056247078,0.5283778],[3.0418484210968018,-0.5389113426208496,1.738681435585022],[-0.54065704,1.1396554,1.6944886,-2.1667674,-1.1964822,2.2580166,0.71819997],[-1.0],[-0.09741081,0.05912364,-0.20111719],[0.08562721312046051,0.03539222851395607,0.054182954132556915],[-1.0]]
[3.0,30,10014,602892,196,[-0.0056266296,0.05742955,0.5243554],[3.0461297035217285,-0.5371416807174683,1.741390585899353],[-0.53449106,1.1427995,1.6867976,-2.167533,-1.1986729,2.2604105,0.71680707],[-1.0],[-0.10528451,0.059505846,-0.22874813],[-0.0025758512783795595,0.0627579391002655,0.0833672434091568],[-1.0]]
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