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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 ({'state', 'action'}) and 6 missing columns ({'episode_index', 'states', 'actions', 'length', 'videos', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/lmxin/libero_goal_Dataset/stats.json (at revision 709da873a6f449784a3e70f83cb1060f838f37fe)
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 ({'state', 'action'}) and 6 missing columns ({'episode_index', 'states', 'actions', 'length', 'videos', 'tasks'}).
This happened while the json dataset builder was generating data using
hf://datasets/lmxin/libero_goal_Dataset/stats.json (at revision 709da873a6f449784a3e70f83cb1060f838f37fe)
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 |
|---|---|---|---|---|---|
[
"put the bowl on the plate"
] | [
{
"video_path": "videos/episode_000000/top.mp4"
},
{
"video_path": "videos/episode_000000/wrist.mp4"
}
] | 0 | 112 | [
[
-0.20300905406475067,
0.010332424193620682,
1.1776659488677979,
3.139838695526123,
0.004312738310545683,
-0.09276684373617172,
0.03878730162978172,
-0.038788650184869766
],
[
-0.20306457579135895,
0.01034943200647831,
1.1773077249526978,
3.1391358375549316,
... | [
[
0.07232142984867096,
0,
0,
-0.011785713955760002,
0.04392857104539871,
0.035357143729925156,
1
],
[
0.10446428507566452,
0.03482142835855484,
-0.0026785715017467737,
-0.010714286006987095,
0.035357143729925156,
0.027857143431901932,
1
],
[
0.1767... |
[
"put the wine bottle on the rack"
] | [
{
"video_path": "videos/episode_000001/top.mp4"
},
{
"video_path": "videos/episode_000001/wrist.mp4"
}
] | 1 | 155 | [
[
-0.20036335289478302,
-0.004738677758723497,
1.1705336570739746,
3.139360189437866,
0.0005268794484436512,
-0.09785594791173935,
0.03878651559352875,
-0.038789357990026474
],
[
-0.20107781887054443,
-0.004896944388747215,
1.1694220304489136,
3.137523651123047,
... | [
[
0.13660714030265808,
-0.008035714738070965,
0,
-0.029999999329447746,
0.12214285880327225,
0.03321428596973419,
1
],
[
0.1875,
0,
0,
-0.046071428805589676,
0.17249999940395355,
0.0803571417927742,
1
],
[
0.18214285373687744,
0,
0,
-0.... |
[
"put the wine bottle on the rack"
] | [
{
"video_path": "videos/episode_000002/top.mp4"
},
{
"video_path": "videos/episode_000002/wrist.mp4"
}
] | 2 | 150 | [
[
-0.19819346070289612,
0.0029846911784261465,
1.1737264394760132,
3.139744520187378,
0.00018841444398276508,
-0.09282256662845612,
0.03878716751933098,
-0.03878868371248245
],
[
-0.1976592093706131,
0.0032018113415688276,
1.1729869842529297,
3.1398441791534424,
... | [
[
0.2651785612106323,
0.04285714402794838,
0,
0,
0.07928571105003357,
0,
1
],
[
0.31339284777641296,
0.0803571417927742,
0,
-0.02678571455180645,
0.09535714238882065,
0,
1
],
[
0.39642858505249023,
0.14196428656578064,
0,
-0.05785714462... |
[
"open the top drawer and put the bowl inside"
] | [
{
"video_path": "videos/episode_000003/top.mp4"
},
{
"video_path": "videos/episode_000003/wrist.mp4"
}
] | 3 | 177 | [
[
-0.1948266327381134,
-0.01892644725739956,
1.1854383945465088,
3.1408097743988037,
-0.003320163581520319,
-0.09441520273685455,
0.03878958523273468,
-0.038786381483078
],
[
-0.1930120289325714,
-0.019983535632491112,
1.1851364374160767,
3.140148639678955,
-0... | [
[
0.5035714507102966,
-0.1875,
0.09107142686843872,
0,
0.06750000268220901,
-0.02250000089406967,
1
],
[
0.65625,
-0.24910713732242584,
0.12589286267757416,
0,
0.07071428745985031,
-0.025714285671710968,
1
],
[
0.8303571343421936,
-0.2651785612... |
[
"open the top drawer and put the bowl inside"
] | [
{
"video_path": "videos/episode_000004/top.mp4"
},
{
"video_path": "videos/episode_000004/wrist.mp4"
}
] | 4 | 218 | [[-0.20300908386707306,0.012553075328469276,1.1729226112365723,3.1392757892608643,0.0044080382212996(...TRUNCATED) | [[0.34017857909202576,0.0,-0.0,-0.051428571343421936,0.05999999865889549,0.003214285708963871,1.0],[(...TRUNCATED) |
[
"put the cream cheese in the bowl"
] | [
{
"video_path": "videos/episode_000005/top.mp4"
},
{
"video_path": "videos/episode_000005/wrist.mp4"
}
] | 5 | 112 | [[-0.21517767012119293,0.003608499886468053,1.1685261726379395,3.139787197113037,0.00017907000437844(...TRUNCATED) | [[0.0,0.09910714626312256,-0.0,-0.004285714123398066,0.0,0.006428571417927742,1.0],[0.06160714104771(...TRUNCATED) |
[
"put the wine bottle on top of the cabinet"
] | [
{
"video_path": "videos/episode_000006/top.mp4"
},
{
"video_path": "videos/episode_000006/wrist.mp4"
}
] | 6 | 90 | [[-0.20992256700992584,-0.009918468073010445,1.1768957376480103,3.1397926807403564,-0.00029582687420(...TRUNCATED) | [[0.0,-0.09910714626312256,-0.0,0.0,0.0867857113480568,-0.0,1.0],[0.09642857313156128,-0.12589286267(...TRUNCATED) |
[
"push the plate to the front of the stove"
] | [
{
"video_path": "videos/episode_000007/top.mp4"
},
{
"video_path": "videos/episode_000007/wrist.mp4"
}
] | 7 | 123 | [[-0.2063370645046234,-0.003561770310625434,1.1754035949707031,3.140934944152832,0.00114997674245387(...TRUNCATED) | [[0.02946428582072258,0.03214285895228386,-0.0,0.0,0.0,0.011785713955760002,1.0],[0.0750000029802322(...TRUNCATED) |
[
"open the top drawer and put the bowl inside"
] | [
{
"video_path": "videos/episode_000008/top.mp4"
},
{
"video_path": "videos/episode_000008/wrist.mp4"
}
] | 8 | 270 | [[-0.19050942361354828,-0.0027006887830793858,1.1707440614700317,3.139268398284912,0.000297089194646(...TRUNCATED) | [[0.6187499761581421,0.07767856866121292,-0.0,-0.03642857074737549,0.02250000089406967,0.01178571395(...TRUNCATED) |
[
"turn on the stove"
] | [
{
"video_path": "videos/episode_000009/top.mp4"
},
{
"video_path": "videos/episode_000009/wrist.mp4"
}
] | 9 | 90 | [[-0.2142341136932373,0.007340180687606335,1.1581512689590454,3.1396195888519287,-0.0002705245278775(...TRUNCATED) | [[0.02410714328289032,0.08571428805589676,-0.0,0.0,0.007499999832361937,-0.029999999329447746,1.0],[(...TRUNCATED) |
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