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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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[3.0,30,12014,723390,102,[0.25876468,0.019616822,0.66987276],[3.10538911819458,-0.35180437564849854,1.4641749858856201],[-0.05823076,1.0307958,1.5494869,-0.9899893,-0.9714403,1.632345,0.33036575],[1.0],[0.036318634,0.4958888,-0.13702303],[-0.02276802249252796,-0.0788998082280159,0.15483789145946503],[1.0]]
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[3.2,32,12014,723392,102,[0.25998977,0.035231218,0.6654903],[3.1027894020080566,-0.3574995994567871,1.4762054681777954],[0.004081706,1.0471265,1.5309827,-0.9269647,-0.98765653,1.6300251,0.31350675],[1.0],[0.037982993,0.3624707,-0.10778175],[-0.05119853839278221,-0.03859600052237511,0.09314092248678207],[1.0]]
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