Datasets:

GRPUI
/

autotrain-data-sgugit-model-v4

Tasks:

Text Classification

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train

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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 dataset

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_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" } ]	b73b763317f51f88	[ "target", "text" ]	{}	null	false	null

AutoTrain Dataset for project: sgugit-model-v4

Dataset Description

This dataset has been automatically processed by AutoTrain for project sgugit-model-v4.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "target": 40,
    "text": "\u0433\u0434\u0435 \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u043e\u0431\u0440\u0430\u0437\u0435\u0446 \u0432\u0441\u0442\u0443\u043f\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u0441\u043f\u044b\u0442\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0432\u0435\u0441\u0442\u0438 \u043f\u0440\u043e\u0448\u043b\u044b\u0439 \u0433\u043e\u0434 \u0447\u0442\u043e\u0431\u044b \u0431\u044b\u0442\u044c \u0433\u043e\u0442\u043e\u0432\u044b\u0439 \u043a \u043e\u043d\u0438 \u0438 \u0434\u043e\u0441\u0442\u0438\u0433\u043d\u0443\u0442\u044c \u0443\u0441\u043f\u0435\u0445"
  },
  {
    "target": 28,
    "text": "\u043a\u0430\u043a\u043e\u0439 \u0448\u0430\u0433 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043f\u0440\u0435\u0434\u043f\u0440\u0438\u043d\u044f\u0442\u044c \u0447\u0442\u043e\u0431\u044b \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0438\u0442\u044c \u0441\u043c\u0435\u043d\u0430 \u0441\u0442\u0430\u0442\u0443\u0441 \u0441 \u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u043d\u0430 \u0431\u044e\u0434\u0436\u0435\u0442\u043d\u044b\u0439"
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "target": "ClassLabel(names=['\u0410\u043a\u0430\u0434\u0435\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043e\u0442\u043f\u0443\u0441\u043a', '\u0411\u044e\u0434\u0436\u0435\u0442\u043d\u044b\u0435 \u043c\u0435\u0441\u0442\u0430', '\u0412\u043e\u0441\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u043e\u0441\u043b\u0435 \u043e\u0442\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f', '\u0413\u0440\u0430\u0444\u0438\u043a \u0437\u0430\u043d\u044f\u0442\u0438\u0439', '\u0413\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0431\u043e\u0442\u044b \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043f\u043e\u0434\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0439 \u0421\u0413\u0423\u0413\u0438\u0422', '\u0414\u0430\u0442\u044b \u0441\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u0438', '\u0414\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u0437\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u044f \u0432 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0435', '\u0414\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u043b\u0438 \u0415\u0413\u042d', '\u0418\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0430\u043c\u0438', '\u0418\u043d\u0441\u0442\u0438\u0442\u0443\u0442\u044b \u0421\u0413\u0423\u0413\u0438\u0422', '\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u044f\u0445', '\u041a\u0430\u043a \u0432\u043e\u0441\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u042d\u0418\u041e\u0421?', '\u041a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0438\u044e', '\u041a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0434\u0435\u043a\u0430\u043d\u0430\u0442', '\u041a\u0430\u043a \u043e\u0442\u0447\u0438\u0441\u043b\u0438\u0442\u044c\u0441\u044f?', '\u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0435\u0440\u0435\u0441\u0434\u0430\u0447', '\u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0440\u0435\u0434\u043c\u0435\u0442\u043e\u0432, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0445 \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0441\u0434\u0430\u0447\u0438', '\u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044c\u043d\u0430\u044f \u043f\u043e\u043c\u043e\u0449\u044c', '\u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044c\u043d\u0430\u044f \u043f\u043e\u043c\u043e\u0449\u044c \u0434\u043b\u044f \u0438\u043d\u043e\u0441\u0442\u0440\u0430\u043d\u0446\u0435\u0432', '\u041d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043c\u0430\u0433\u0438\u0441\u0442\u0440\u0430\u0442\u0443\u0440\u044b', '\u041e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043e\u0446\u0435\u043d\u043e\u043a \u0432 \u0437\u0430\u0447\u0451\u0442\u043a\u0435', '\u041e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0435 \u0434\u043b\u044f \u0438\u043d\u043e\u0433\u043e\u0440\u043e\u0434\u043d\u0438\u0445 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432', '\u041e\u043d\u043b\u0430\u0439\u043d \u0441\u0434\u0430\u0447\u0430 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438 \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u043e\u0432', '\u041e\u0442\u0441\u0440\u043e\u0447\u043a\u0430 \u043c\u0430\u0433\u0438\u0441\u0442\u0440\u0430\u043d\u0442\u0430\u043c', '\u041e\u0442\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0435 \u043f\u043e \u0437\u0430\u0434\u043e\u043b\u0436\u0435\u043d\u043d\u043e\u0441\u0442\u0438', '\u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043c\u0435\u0436\u0434\u0443 \u0433\u0440\u0443\u043f\u043f\u0430\u043c\u0438 \u043a\u0443\u0440\u0441\u0430', '\u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0434\u0440\u0443\u0433\u043e\u0435 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435', '\u041f\u0435\u0440\u0435\u0445\u043e\u0434 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0412\u0423\u0417\u0430', '\u041f\u0435\u0440\u0435\u0445\u043e\u0434 \u043d\u0430 \u0431\u044e\u0434\u0436\u0435\u0442', '\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0441\u043f\u0440\u0430\u0432\u043a\u0438 \u043e\u0431 \u0443\u0447\u0451\u0431\u0435', '\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0447\u0438\u0442\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0431\u0438\u043b\u0435\u0442\u0430', '\u041f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0437\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u044f \u0432 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0435', '\u041f\u043e\u0442\u0435\u0440\u044f \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430 \u0432 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0435', '\u041f\u043e\u0442\u0435\u0440\u044f \u0441\u0442\u0443\u0434\u0435\u043d\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0431\u0438\u043b\u0435\u0442\u0430', '\u041f\u043e\u0442\u0435\u0440\u044f \u0447\u0438\u0442\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0431\u0438\u043b\u0435\u0442\u0430', '\u041f\u0440\u0430\u0432\u0438\u043b\u0430 \u043f\u0440\u043e\u0436\u0438\u0432\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0438', '\u041f\u0440\u043e\u0434\u043e\u043b\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438', '\u041f\u0440\u043e\u043f\u0443\u0441\u043a\u043d\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u044f', '\u041f\u0440\u043e\u0445\u043e\u0434\u043d\u044b\u0435 \u0431\u0430\u043b\u043b\u044b \u0438 \u0437\u0430\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0435', '\u041f\u0440\u043e\u0445\u043e\u0436\u0434\u0435\u043d\u0438\u0435 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438', '\u041f\u0440\u043e\u0448\u043b\u043e\u0433\u043e\u0434\u043d\u0438\u0435 \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u044b', '\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u043e\u0432 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430', '\u0421\u043e\u0441\u0442\u0430\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438', '\u0421\u0440\u043e\u043a\u0438 \u043f\u0440\u0438\u0451\u043c\u043d\u043e\u0439 \u043a\u0430\u043c\u043f\u0430\u043d\u0438\u0438', '\u0421\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u0430\u043b\u044c\u043d\u0430\u044f \u043a\u0430\u0440\u0442\u0430', '\u0421\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u044f', '\u0421\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u044f \u0432 \u043b\u0435\u0442\u043d\u0438\u0439 \u043f\u0435\u0440\u0438\u043e\u0434', '\u0421\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u044f \u0434\u043b\u044f \u0443\u0447\u0430\u0449\u0438\u0445\u0441\u044f \u043d\u0430 \u043f\u043b\u0430\u0442\u043d\u043e\u0439 \u043e\u0441\u043d\u043e\u0432\u0435', '\u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c \u043f\u0440\u043e\u0436\u0438\u0432\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u0449\u0435\u0436\u0438\u0442\u0438\u0438', '\u0421\u0443\u043c\u043c\u0430 \u0441\u0442\u0438\u043f\u0435\u043d\u0434\u0438\u0438', '\u0422\u0440\u0430\u043d\u0441\u043f\u043e\u0440\u0442\u043d\u0430\u044f \u043a\u0430\u0440\u0442\u0430', '\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a \u043a\u0440\u0430\u0441\u043d\u043e\u043c\u0443 \u0434\u0438\u043f\u043b\u043e\u043c\u0443', '\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u043e\u0442\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f', '\u0423\u0442\u0435\u0440\u044f \u0434\u0438\u043f\u043b\u043e\u043c\u0430', '\u0423\u0447\u0435\u0431\u043d\u044b\u0439 \u043f\u043b\u0430\u043d', '\u0423\u0447\u0435\u0431\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441', '\u0427\u0442\u043e \u0442\u0430\u043a\u043e\u0435 \u042d\u0418\u041e\u0421?', '\u042d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0435 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438 \u0433\u0430\u0437\u0435\u0442 \u0438 \u0436\u0443\u0440\u043d\u0430\u043b\u043e\u0432'], id=None)",
  "text": "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	3993
valid	1006

Downloads last month: 34

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Models trained or fine-tuned on GRPUI/autotrain-data-sgugit-model-v4

GRPUI/sgugit-model

Text Classification • Updated Oct 2, 2023