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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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[3.0,30,5031,302282,58,[0.22286128,0.062535726,0.4920015],[3.09922456741333,-0.22920295596122742,1.6733322143554688],[-0.05222703,1.1612078,1.4006491,-1.2496312,-1.0526423,1.8121545,0.26457766],[1.0],[0.051284872,0.08499991,-0.14799018],[0.04556293785572052,0.10845910757780075,-0.16638721525669098],[1.0]]
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