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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 field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 action.gripper (List) {\n    repeated group field_id=-1 list {\n      optional float field_id=-1 element;\n    }\n  }\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":3736,"head":""}}],["pandas","{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\": \"timestamp\", \"field_name\": \"timestamp\", \"pandas_type\": \"float32\", \"numpy_type\": \"float32\", \"metadata\": null}, {\"name\": \"frame_index\", \"field_name\": \"frame_index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"episode_index\", \"field_name\": \"episode_index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"index\", \"field_name\": \"index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"task_index\", \"field_name\": \"task_index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": 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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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[3.0,30,10043,604563,214,[0.2167223,-0.061919343,0.46515223],[3.027660846710205,-0.0768737867474556,1.4099305868148804],[-0.4014227,1.1289585,1.508419,-1.6637704,-1.2345097,1.7627356,0.6204378],[-1.0],[-0.23982507,0.16032307,-0.032256007],[-0.07844888418912888,-0.0803758054971695,0.18665185570716858],[-1.0]]
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