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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'action', 'state'}) and 6 missing columns ({'states', 'videos', 'length', 'tasks', 'episode_index', 'actions'}).

This happened while the json dataset builder was generating data using

hf://datasets/lmxin/libero_object_Dataset/stats.json (at revision 314ef6d45b0048686b4cfacbd833ed638d71e61b)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              state: struct<min: list<item: double>, max: list<item: double>>
                child 0, min: list<item: double>
                    child 0, item: double
                child 1, max: list<item: double>
                    child 0, item: double
              action: struct<min: list<item: double>, max: list<item: double>>
                child 0, min: list<item: double>
                    child 0, item: double
                child 1, max: list<item: double>
                    child 0, item: double
              to
              {'tasks': List(Value('string')), 'videos': List({'video_path': Value('string')}), 'episode_index': Value('int64'), 'length': Value('int64'), 'states': List(List(Value('float64'))), 'actions': List(List(Value('float64')))}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'action', 'state'}) and 6 missing columns ({'states', 'videos', 'length', 'tasks', 'episode_index', 'actions'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/lmxin/libero_object_Dataset/stats.json (at revision 314ef6d45b0048686b4cfacbd833ed638d71e61b)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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tasks
list
videos
list
episode_index
int64
length
int64
states
list
actions
list
[ "pick up the orange juice and place it in the basket" ]
[ { "video_path": "videos/episode_000000/top.mp4" }, { "video_path": "videos/episode_000000/wrist.mp4" } ]
0
143
[ [ -0.1499742567539215, 0.0002611480304040015, 0.2681567668914795, 3.1400837898254395, -0.001493089715950191, -0.08372125774621964, 0.03878691419959068, -0.03878895938396454 ], [ -0.15031592547893524, 0.000132110042613931, 0.26815134286880493, 3.1393725872039795, ...
[ [ -0.14196428656578064, 0.02410714328289032, -0.06160714104771614, -0.01607142947614193, -0.020357143133878708, -0.03642857074737549, 1 ], [ -0.13124999403953552, 0.013392857275903225, -0.05624999850988388, -0.01607142947614193, -0.014999999664723873, -0.03535...
[ "pick up the ketchup and place it in the basket" ]
[ { "video_path": "videos/episode_000001/top.mp4" }, { "video_path": "videos/episode_000001/wrist.mp4" } ]
1
148
[ [ -0.13173334300518036, -0.0004657325043808669, 0.26098960638046265, 3.1398510932922363, 0.0003552753187250346, -0.08959858864545822, 0.038787372410297394, -0.038788408041000366 ], [ -0.1304958313703537, -0.0019549529533833265, 0.2607307434082031, 3.13937473297119...
[ [ 0.27589285373687744, -0.2544642984867096, 0, 0, 0.009642857126891613, -0.034285712987184525, 1 ], [ 0.2839285731315613, -0.3107142746448517, 0, 0, 0.017142856493592262, -0.03857142850756645, 1 ], [ 0.3187499940395355, -0.38303571939468384, ...
[ "pick up the ketchup and place it in the basket" ]
[ { "video_path": "videos/episode_000002/top.mp4" }, { "video_path": "videos/episode_000002/wrist.mp4" } ]
2
141
[ [ -0.13837851583957672, -0.032538075000047684, 0.2694140672683716, 3.13975191116333, -0.0015986041398718953, -0.08817724138498306, 0.03878681734204292, -0.0387890562415123 ], [ -0.13755473494529724, -0.03550869598984718, 0.2694438099861145, 3.1377134323120117, ...
[ [ 0.13928571343421936, -0.49017858505249023, 0, -0.014999999664723873, -0.014999999664723873, -0.056785713881254196, 1 ], [ 0.1607142835855484, -0.5383928418159485, 0, -0.008571428246796131, -0.01607142947614193, -0.061071429401636124, 1 ], [ 0.190...
[ "pick up the cream cheese and place it in the basket" ]
[ { "video_path": "videos/episode_000003/top.mp4" }, { "video_path": "videos/episode_000003/wrist.mp4" } ]
3
130
[ [ -0.15558163821697235, 0.005442388821393251, 0.258038192987442, 3.14018177986145, 0.0025310192722827196, -0.09212957322597504, 0.03878788277506828, -0.03878798708319664 ], [ -0.15563605725765228, 0.005325548350811005, 0.2579837739467621, 3.140227794647217, -0...
[ [ 0, 0, -0.0026785715017467737, 0, 0.008571428246796131, -0.034285712987184525, 1 ], [ 0, 0, -0.0026785715017467737, 0, 0.010714286006987095, -0.034285712987184525, 1 ], [ 0.01875000074505806, 0, -0.010714286006987095, 0, 0.00749999...
[ "pick up the bbq sauce and place it in the basket" ]
[ { "video_path": "videos/episode_000004/top.mp4" }, { "video_path": "videos/episode_000004/wrist.mp4" } ]
4
132
[ [ -0.15558244287967682, 0.006614658050239086, 0.2503325939178467, 3.140106439590454, 0.002764413133263588, -0.08973708748817444, 0.038787443190813065, -0.03878841921687126 ], [ -0.15569517016410828, 0.006881959270685911, 0.2502557933330536, 3.1403326988220215, ...
[ [ 0, 0.06160714104771614, 0, 0, 0, -0.009642857126891613, 1 ], [ 0, 0.06428571790456772, 0, 0, 0, -0.009642857126891613, 1 ], [ 0, 0.05892857164144516, 0, 0, 0, -0.009642857126891613, 1 ], [ 0.0535714291036129, 0...
[ "pick up the bbq sauce and place it in the basket" ]
[ { "video_path": "videos/episode_000005/top.mp4" }, { "video_path": "videos/episode_000005/wrist.mp4" } ]
5
132
[[-0.1432173252105713,0.010661371052265167,0.2564840614795685,3.1398887634277344,0.00414704019203782(...TRUNCATED)
[[0.10982143133878708,0.0,-0.0,0.0,0.0,-0.02142857201397419,1.0],[0.11517857015132904,0.0,-0.0,0.0,0(...TRUNCATED)
[ "pick up the alphabet soup and place it in the basket" ]
[ { "video_path": "videos/episode_000006/top.mp4" }, { "video_path": "videos/episode_000006/wrist.mp4" } ]
6
155
[[-0.14808060228824615,0.001176256570033729,0.25954562425613403,3.140310764312744,-0.001461053383536(...TRUNCATED)
[[0.10178571194410324,-0.07767856866121292,-0.0,0.0,0.028928572311997414,-0.027857143431901932,1.0],(...TRUNCATED)
[ "pick up the milk and place it in the basket" ]
[ { "video_path": "videos/episode_000007/top.mp4" }, { "video_path": "videos/episode_000007/wrist.mp4" } ]
7
175
[[-0.14348933100700378,-0.0019112565787509084,0.26342689990997314,3.1396684646606445,0.0032733127009(...TRUNCATED)
[[0.15535713732242584,0.0,-0.0,-0.019285714253783226,0.008571428246796131,-0.0,1.0],[0.1741071492433(...TRUNCATED)
[ "pick up the ketchup and place it in the basket" ]
[ { "video_path": "videos/episode_000008/top.mp4" }, { "video_path": "videos/episode_000008/wrist.mp4" } ]
8
152
[[-0.13954609632492065,-0.00567549979314208,0.26282572746276855,3.1405229568481445,-0.00083656021161(...TRUNCATED)
[[0.0053571430034935474,0.0,-0.0,0.0,0.0,-0.0,1.0],[0.04553571343421936,0.0,-0.0,0.0,0.0,-0.0,1.0],[(...TRUNCATED)
[ "pick up the salad dressing and place it in the basket" ]
[ { "video_path": "videos/episode_000009/top.mp4" }, { "video_path": "videos/episode_000009/wrist.mp4" } ]
9
124
[[-0.14593520760536194,0.00023858969507273287,0.2570194602012634,3.139389753341675,0.000067425942688(...TRUNCATED)
[[0.07767856866121292,0.0,-0.0,-0.009642857126891613,0.07928571105003357,-0.0053571430034935474,1.0](...TRUNCATED)
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