{"columns":[{"name":"action","type":"list<element: double>"},{"name":"observation.state","type":"list<element: double>"},{"name":"timestamp","type":"double"},{"name":"task_index","type":"int64"},{"name":"episode_index","type":"int64"},{"name":"frame_index","type":"int64"},{"name":"index","type":"int64"}],"n_rows":53,"rows_kept":53,"cut":false,"text_format":"parquet-jsonl-2026-10-02","bounds":{"document_bytes":16777216,"package_text_limit_bytes":33554432,"package_text_slack_bytes":1024,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096,"vector_min":64,"vector_head_fixed":16,"vector_head_variable":64,"kv_value_chars":1048576,"nesting_max":64,"binary_text":true},"cells_cut":0,"cells_bad_utf8":0,"cells_raw":0,"cells_binary":0,"cells_binary_text":0,"cells_vector":0,"n_row_groups":1,"reader":"pyarrow 23.0.1, python 3.13","created_by":"parquet-cpp-arrow version 19.0.0","schema":{"fields":[{"name":"action","type":"list<element: double>","nullable":true,"metadata":null,"children":[{"name":"element","type":"double","nullable":true,"metadata":null,"children":null}]},{"name":"observation.state","type":"list<element: double>","nullable":true,"metadata":null,"children":[{"name":"element","type":"double","nullable":true,"metadata":null,"children":null}]},{"name":"timestamp","type":"double","nullable":true,"metadata":null,"children":null},{"name":"task_index","type":"int64","nullable":true,"metadata":null,"children":null},{"name":"episode_index","type":"int64","nullable":true,"metadata":null,"children":null},{"name":"frame_index","type":"int64","nullable":true,"metadata":null,"children":null},{"name":"index","type":"int64","nullable":true,"metadata":null,"children":null}],"parquet":"required group field_id=-1 schema {\n  optional group field_id=-1 action (List) {\n    repeated group field_id=-1 list {\n      optional double field_id=-1 element;\n    }\n  }\n  optional group field_id=-1 observation.state (List) {\n    repeated group field_id=-1 list {\n      optional double field_id=-1 element;\n    }\n  }\n  optional double field_id=-1 timestamp;\n  optional int64 field_id=-1 task_index;\n  optional int64 field_id=-1 episode_index;\n  optional int64 field_id=-1 frame_index;\n  optional int64 field_id=-1 index;\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":2136,"head":""}}],["pandas","{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\": \"action\", \"field_name\": \"action\", \"pandas_type\": \"list[float64]\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"observation.state\", \"field_name\": \"observation.state\", \"pandas_type\": \"list[float64]\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"timestamp\", \"field_name\": \"timestamp\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"task_index\", \"field_name\": \"task_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\": \"frame_index\", \"field_name\": \"frame_index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"index\", \"field_name\": \"index\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}], \"creator\": {\"library\": \"pyarrow\", \"version\": \"19.0.0\"}, \"pandas_version\": \"2.2.3\"}"]]}
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.0,0,0,0,0]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.1,0,0,1,1]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.2,0,0,2,2]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.3,0,0,3,3]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.4,0,0,4,4]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.5,0,0,5,5]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.6,0,0,6,6]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.7,0,0,7,7]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.8,0,0,8,8]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],0.9,0,0,9,9]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.0,0,0,10,10]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.1,0,0,11,11]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.2,0,0,12,12]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.3,0,0,13,13]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.4,0,0,14,14]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.5,0,0,15,15]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.6,0,0,16,16]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.7,0,0,17,17]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.8,0,0,18,18]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],1.9,0,0,19,19]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.0,0,0,20,20]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.1,0,0,21,21]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.2,0,0,22,22]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.3,0,0,23,23]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.4,0,0,24,24]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.5,0,0,25,25]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.6,0,0,26,26]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.7,0,0,27,27]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.8,0,0,28,28]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],2.9,0,0,29,29]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.0,0,0,30,30]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.1,0,0,31,31]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.2,0,0,32,32]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.3,0,0,33,33]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.4,0,0,34,34]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.5,0,0,35,35]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.6,0,0,36,36]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.7,0,0,37,37]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.8,0,0,38,38]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],3.9,0,0,39,39]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.0,0,0,40,40]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.1,0,0,41,41]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.2,0,0,42,42]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.3,0,0,43,43]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.4,0,0,44,44]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.5,0,0,45,45]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.6,0,0,46,46]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.7,0,0,47,47]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.8,0,0,48,48]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],4.9,0,0,49,49]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],5.0,0,0,50,50]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],5.1,0,0,51,51]
[[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],5.2,0,0,52,52]