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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 3 new columns ({'success', 'done', 'reward'}) and 3 missing columns ({'frame_id', 'action', 'episode'}).
This happened while the json dataset builder was generating data using
hf://datasets/cadene/pusht/next/meta.json (at revision 8e7540b11e6b32d6cd52e19ae1f01fc690e8830f)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
reward: struct<device: string, shape: list<item: int64>, dtype: string>
child 0, device: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, dtype: string
done: struct<device: string, shape: list<item: int64>, dtype: string>
child 0, device: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, dtype: string
success: struct<device: string, shape: list<item: int64>, dtype: string>
child 0, device: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, dtype: string
shape: list<item: int64>
child 0, item: int64
device: string
_type: string
to
{'action': {'device': Value(dtype='string', id=None), 'shape': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'dtype': Value(dtype='string', id=None)}, 'episode': {'device': Value(dtype='string', id=None), 'shape': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'dtype': Value(dtype='string', id=None)}, 'frame_id': {'device': Value(dtype='string', id=None), 'shape': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'dtype': Value(dtype='string', id=None)}, 'shape': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'device': Value(dtype='string', id=None), '_type': Value(dtype='string', id=None)}
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 1316, in compute_config_parquet_and_info_response
parquet_operations, partial = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 3 new columns ({'success', 'done', 'reward'}) and 3 missing columns ({'frame_id', 'action', 'episode'}).
This happened while the json dataset builder was generating data using
hf://datasets/cadene/pusht/next/meta.json (at revision 8e7540b11e6b32d6cd52e19ae1f01fc690e8830f)
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.
action
dict | episode
dict | frame_id
dict | shape
sequence | device
string | _type
string | reward
dict | done
dict | success
dict | image
dict | state
dict |
|---|---|---|---|---|---|---|---|---|---|---|
{
"device": "cpu",
"shape": [
25650,
2
],
"dtype": "torch.float32"
} | {
"device": "cpu",
"shape": [
25650
],
"dtype": "torch.int64"
} | {
"device": "cpu",
"shape": [
25650
],
"dtype": "torch.int64"
} | [
25650
] | cpu | <class 'tensordict._td.TensorDict'> | null | null | null | null | null |
null | null | null | [
25650
] | cpu | <class 'tensordict._td.TensorDict'> | {
"device": "cpu",
"shape": [
25650,
1
],
"dtype": "torch.float32"
} | {
"device": "cpu",
"shape": [
25650,
1
],
"dtype": "torch.bool"
} | {
"device": "cpu",
"shape": [
25650,
1
],
"dtype": "torch.bool"
} | null | null |
null | null | null | [
25650
] | cpu | <class 'tensordict._td.TensorDict'> | null | null | null | {
"device": "cpu",
"shape": [
25650,
3,
96,
96
],
"dtype": "torch.float32"
} | {
"device": "cpu",
"shape": [
25650,
2
],
"dtype": "torch.float32"
} |
null | null | null | [
25650
] | cpu | <class 'tensordict._td.TensorDict'> | null | null | null | {
"device": "cpu",
"shape": [
25650,
3,
96,
96
],
"dtype": "torch.float32"
} | {
"device": "cpu",
"shape": [
25650,
2
],
"dtype": "torch.float32"
} |
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