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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 ({'actions', 'length', 'videos', 'tasks', 'states', 'episode_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/lmxin/libero_spatial_Dataset/stats.json (at revision 8dd1c0693fae6521ab7a3f7334ae586c95fe8cb8)
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 ({'actions', 'length', 'videos', 'tasks', 'states', 'episode_index'}).
This happened while the json dataset builder was generating data using
hf://datasets/lmxin/libero_spatial_Dataset/stats.json (at revision 8dd1c0693fae6521ab7a3f7334ae586c95fe8cb8)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
tasks list | videos list | episode_index int64 | length int64 | states list | actions list |
|---|---|---|---|---|---|
[
"pick up the black bowl next to the cookie box and place it on the plate"
] | [
{
"video_path": "videos/episode_000000/top.mp4"
},
{
"video_path": "videos/episode_000000/wrist.mp4"
}
] | 0 | 110 | [
[
-0.20487476885318756,
-0.010081525892019272,
1.174657940864563,
3.1396350860595703,
0.0001441165222786367,
-0.08801795542240143,
0.03878617286682129,
-0.03878973424434662
],
[
-0.2037886083126068,
-0.010280994698405266,
1.1749176979064941,
3.1397652626037598,
... | [
[
0.13124999403953552,
-0.0401785708963871,
0,
0,
-0.04928571358323097,
0,
1
],
[
0.32946428656578064,
-0.02142857201397419,
0,
0,
-0.08785714209079742,
0,
1
],
[
0.4553571343421936,
-0.010714286006987095,
0,
-0.003214285708963871,
... |
[
"pick up the black bowl in the top drawer of the wooden cabinet and place it on the plate"
] | [
{
"video_path": "videos/episode_000001/top.mp4"
},
{
"video_path": "videos/episode_000001/wrist.mp4"
}
] | 1 | 138 | [
[
-0.18901042640209198,
0.005290519446134567,
1.1877617835998535,
3.1395113468170166,
0.004931834526360035,
-0.09265109151601791,
0.038786131888628006,
-0.038789764046669006
],
[
-0.18733693659305573,
0.0044160750694572926,
1.1878457069396973,
3.1383299827575684,
... | [
[
0.38303571939468384,
-0.1339285671710968,
0.08571428805589676,
-0.019285714253783226,
0.03857142850756645,
0,
1
],
[
0.48750001192092896,
-0.16339285671710968,
0.12321428209543228,
-0.017142856493592262,
0.04500000178813934,
0,
1
],
[
0.575892865... |
[
"pick up the black bowl in the top drawer of the wooden cabinet and place it on the plate"
] | [
{
"video_path": "videos/episode_000002/top.mp4"
},
{
"video_path": "videos/episode_000002/wrist.mp4"
}
] | 2 | 127 | [
[
-0.20424646139144897,
0.001207237597554922,
1.1752121448516846,
3.1397838592529297,
0.002374040661379695,
-0.09410800039768219,
0.038786884397268295,
-0.03878896310925484
],
[
-0.2045070230960846,
0.0008802092052064836,
1.1746841669082642,
3.139639139175415,
... | [
[
0.11249999701976776,
-0.05892857164144516,
0.02678571455180645,
0,
0.07928571105003357,
0,
1
],
[
0.2008928507566452,
-0.09375,
0.08571428805589676,
0,
0.061071429401636124,
0,
1
],
[
0.36696428060531616,
-0.12857143580913544,
0.192857146... |
[
"pick up the black bowl on the ramekin and place it on the plate"
] | [
{
"video_path": "videos/episode_000003/top.mp4"
},
{
"video_path": "videos/episode_000003/wrist.mp4"
}
] | 3 | 100 | [
[
-0.2118675708770752,
-0.0021985333878546953,
1.167932391166687,
3.1405577659606934,
-0.0014079384272918105,
-0.0963175892829895,
0.03878891095519066,
-0.03878694027662277
],
[
-0.21248948574066162,
-0.0019783147145062685,
1.1674201488494873,
3.1405627727508545,
... | [
[
0.013392857275903225,
0.0401785708963871,
0,
0,
0.04285714402794838,
0,
1
],
[
0.0669642835855484,
0.19285714626312256,
0,
0,
0.03214285895228386,
0,
1
],
[
0.17142857611179352,
0.3348214328289032,
0,
0,
0.027857143431901932,
... |
[
"pick up the black bowl on the ramekin and place it on the plate"
] | [
{
"video_path": "videos/episode_000004/top.mp4"
},
{
"video_path": "videos/episode_000004/wrist.mp4"
}
] | 4 | 116 | [
[
-0.2052225023508072,
0.004420377314090729,
1.1787418127059937,
3.1394217014312744,
0.00025777463451959193,
-0.09612905234098434,
0.03878675028681755,
-0.03878910467028618
],
[
-0.20504209399223328,
0.00470952782779932,
1.1781235933303833,
3.1396400928497314,
... | [
[
0.17678570747375488,
0.05624999850988388,
0,
0,
0.062142856419086456,
0,
1
],
[
0.19821429252624512,
0.1473214328289032,
0,
0,
0.055714286863803864,
0,
1
],
[
0.20357142388820648,
0.28125,
0,
0,
0.0535714291036129,
0,
1
... |
[
"pick up the black bowl on the ramekin and place it on the plate"
] | [
{
"video_path": "videos/episode_000005/top.mp4"
},
{
"video_path": "videos/episode_000005/wrist.mp4"
}
] | 5 | 107 | [
[
-0.2181112915277481,
0.009924526326358318,
1.1552488803863525,
3.140453815460205,
0.0032092551700770855,
-0.09282229095697403,
0.038788191974163055,
-0.03878769651055336
],
[
-0.21837659180164337,
0.011092948727309704,
1.1544386148452759,
3.1410257816314697,
... | [
[
0,
0.21160714328289032,
-0.10982143133878708,
0,
0,
0.007499999832361937,
1
],
[
0,
0.3455357253551483,
-0.02946428582072258,
0,
-0.01607142947614193,
0.0053571430034935474,
1
],
[
0,
0.5517857074737549,
0,
0,
-0.03857142850756645... |
[
"pick up the black bowl on the stove and place it on the plate"
] | [
{
"video_path": "videos/episode_000006/top.mp4"
},
{
"video_path": "videos/episode_000006/wrist.mp4"
}
] | 6 | 124 | [[-0.2080782651901245,-0.0016810811357572675,1.1747442483901978,3.140263795852661,0.0024146155919879(...TRUNCATED) | [[-0.013392857275903225,-0.21160714328289032,-0.0,0.0,0.03214285895228386,-0.014999999664723873,1.0](...TRUNCATED) |
[
"pick up the black bowl in the top drawer of the wooden cabinet and place it on the plate"
] | [
{
"video_path": "videos/episode_000007/top.mp4"
},
{
"video_path": "videos/episode_000007/wrist.mp4"
}
] | 7 | 129 | [[-0.19518135488033295,0.01422176230698824,1.1897096633911133,3.1398508548736572,0.00422972580417990(...TRUNCATED) | [[0.4258928596973419,-0.05089285597205162,0.3321428596973419,-0.02678571455180645,0.0289285723119974(...TRUNCATED) |
[
"pick up the black bowl on the stove and place it on the plate"
] | [
{
"video_path": "videos/episode_000008/top.mp4"
},
{
"video_path": "videos/episode_000008/wrist.mp4"
}
] | 8 | 139 | [[-0.20827877521514893,-0.011715698055922985,1.1649736166000366,3.139198064804077,-0.000039821657992(...TRUNCATED) | [[0.010714286006987095,-0.1205357164144516,-0.0,-0.03750000149011612,0.07928571105003357,-0.0,1.0],[(...TRUNCATED) |
[
"pick up the black bowl on the stove and place it on the plate"
] | [
{
"video_path": "videos/episode_000009/top.mp4"
},
{
"video_path": "videos/episode_000009/wrist.mp4"
}
] | 9 | 148 | [[-0.20164676010608673,-0.0042309751734137535,1.1760683059692383,3.1410470008850098,0.00049477955326(...TRUNCATED) | [[0.2276785671710968,0.0,-0.0,-0.020357143133878708,0.020357143133878708,-0.0,1.0],[0.26517856121063(...TRUNCATED) |
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