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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" } ]
db823e7768e31a0f
[ "target", "text" ]
{}
null
false
null

AutoTrain Dataset for project: ukrainian-telegram-sentiment-analysis

Dataset Description

This dataset has been automatically processed by AutoTrain for project ukrainian-telegram-sentiment-analysis.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "\u0421\u043e\u0432\u043e\u043a",
    "target": 1
  },
  {
    "text": "\u0422\u0440\u0430\u043d\u0448 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u0438 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u0438\u043c\u0435:  - 4 HIMARS \u0456 \u0431\u043e\u0454\u043f\u0440\u0438\u043f\u0430\u0441\u0438 \u0434\u043e \u043d\u0438\u0445  - 1000 \u0441\u043d\u0430\u0440\u044f\u0434\u0456\u0432 \u00ab\u0432\u0438\u0441\u043e\u043a\u043e\u0442\u043e\u0447\u043d\u043e\u0457\u00bb 155-\u043c\u043c \u0430\u0440\u0442\u0438\u043b\u0435\u0440\u0456\u0457  - \u0442\u0440\u0438 \u0442\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456  - \u043f\u0456\u0434\u0440\u0438\u0432\u043d\u0456 \u0431\u043e\u0454\u043f\u0440\u0438\u043f\u0430\u0441\u0438  - \u043a\u043e\u043d\u0442\u0440-\u0431\u0430\u0442\u0430\u0440\u0435\u0439\u043d\u0456 \u0441\u0438\u0441\u0442\u0435\u043c\u0438  - \u0437\u0430\u043f\u0447\u0430\u0441\u0442\u0438\u043d\u0438.",
    "target": 1
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '1'], 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 2399
valid 601
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Models trained or fine-tuned on dmytrobaida/autotrain-data-ukrainian-telegram-sentiment-analysis