harithapliyal/autotrain-tatanic-survival-51030121311
Tabular Classification
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
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 583, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, 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 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Open a discussion for direct support.
_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 347bd28012bdcd62 | [
"feat_Age",
"feat_Cabin",
"feat_Embarked",
"feat_Fare",
"feat_Name",
"feat_Parch",
"feat_Pclass",
"feat_Sex",
"feat_SibSp",
"feat_Ticket",
"id",
"target"
] | {} | null | false | null |
AutoTrain Dataset for project: tatanic-survival
Dataset Description
This dataset has been automatically processed by AutoTrain for project tatanic-survival.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"id": 297,
"target": 0,
"feat_Pclass": 3,
"feat_Name": "Hanna, Mr. Mansour",
"feat_Sex": "male",
"feat_Age": 23.5,
"feat_SibSp": 0,
"feat_Parch": 0,
"feat_Ticket": "2693",
"feat_Fare": 7.2292,
"feat_Cabin": null,
"feat_Embarked": "C"
},
{
"id": 4,
"target": 1,
"feat_Pclass": 1,
"feat_Name": "Futrelle, Mrs. Jacques Heath (Lily May Peel)",
"feat_Sex": "female",
"feat_Age": 35.0,
"feat_SibSp": 1,
"feat_Parch": 0,
"feat_Ticket": "113803",
"feat_Fare": 53.1,
"feat_Cabin": "C123",
"feat_Embarked": "S"
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"id": "Value(dtype='int64', id=None)",
"target": "ClassLabel(names=['0', '1'], id=None)",
"feat_Pclass": "Value(dtype='int64', id=None)",
"feat_Name": "Value(dtype='string', id=None)",
"feat_Sex": "Value(dtype='string', id=None)",
"feat_Age": "Value(dtype='float64', id=None)",
"feat_SibSp": "Value(dtype='int64', id=None)",
"feat_Parch": "Value(dtype='int64', id=None)",
"feat_Ticket": "Value(dtype='string', id=None)",
"feat_Fare": "Value(dtype='float64', id=None)",
"feat_Cabin": "Value(dtype='string', id=None)",
"feat_Embarked": "Value(dtype='string', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 712 |
| valid | 179 |
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