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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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[3.2,32,13048,785618,29,[0.16867961,-0.20987412,0.3321264],[3.0823910236358643,-0.06822232156991959,1.5355881452560425],[-0.8462719,1.2510655,1.4295106,-2.1239483,-1.4021044,1.9364829,0.48890907],[-1.0],[-0.03492898,-0.04874487,-0.20179081],[-0.285689115524292,-0.1084686666727066,0.32985466718673706],[-1.0]]
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