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Datasets:
abdalrahmanshahrour
/
autotrain-data-auto-arabic-summarization

Tasks:
Summarization
Dataset card Viewer Files Community
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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
_indexes
dict
_output_all_columns
bool
_split
null
[ { "filename": "dataset.arrow" } ]
763feda77f914e7e
[ "target", "text" ]
{}
null
{}
false
null

AutoTrain Dataset for project: auto-arabic-summarization

Dataset Description

This dataset has been automatically processed by AutoTrain for project auto-arabic-summarization.

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": "\u0627\u0643\u062f \u0648\u0632\u064a\u0631 \u0627\u0644\u0635\u0646\u0627\u0639\u0647 \u0648\u0627\u0644\u0637\u0627\u0642\u0647 \u0648\u0627\u0644\u0645\u0646\u0627\u062c\u0645 \u0632\u0643\u0631\u064a\u0627 \u062d\u0645\u062f \u0627\u0646\u0647 \u062a\u0645 \u0627\u0644\u064a\u0648\u0645 \u0627\u0644\u062e\u0645\u064a\u0633 \u062e\u0644\u0627\u0644 \u062c\u0644\u0633\u0647 \u0627\u0644\u062a\u0627\u0645\u062a \u0628\u0627\u0644\u0639\u0627\u0635\u0645\u0647 \u0648\u0632\u064a\u0631 \u0627\u0644\u0637\u0627\u0642\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u064a \u0635\u0627\u0644\u062d \u062e\u0628\u0631\u064a \u0628\u062e\u0635\u0648\u0635 \u0627\u0634\u063a\u0627\u0644 \u0627\u0644\u0644\u062c\u0646\u0647 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a\u0647 \u0645\u062c\u0627\u0644 \u0627\u0644\u0637\u0627\u0642\u0647 \u0644\u062a\u0642\u064a\u064a\u0645 \u0645\u062f\u0649 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u0645\u062a\u0641\u0642 \u0639\u0644\u064a\u0647\u0627 \u062e\u0628\u0631\u0627\u0621 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0627\u0644\u0627\u062a\u0641\u0627\u0642 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062d\u062f\u0648\u062f\u064a\u0647 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0628\u0627\u0644\u0643\u0645\u064a\u0627\u062a \u0627\u0644\u0643\u0627\u0641\u064a\u0647 \u0642\u0648\u0627\u0631\u064a\u0631 \u0627\u0644\u063a\u0627\u0632 \u0627\u0644\u0645\u0646\u0632\u0644\u064a \u062a\u0642\u062f\u0631 \u0628\u062d\u0648\u0627\u0644\u064a \u0637\u0646 \u0627\u0644\u0642\u0648\u0627\u0631\u064a\u0631 \u0648\u0627\u0636\u0627\u0641 \u062d\u0645\u062f \u0627\u0646\u0647 \u0627\u0644\u0646\u0642\u0627\u0637 \u062a\u0645 \u0627\u0644\u0627\u062a\u0641\u0627\u0642 \u0628\u0634\u0627\u0646\u0647\u0627 \u062c\u0644\u0633\u0647 \u0627\u0644\u064a\u0648\u0645 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0633\u0648\u0642 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0628\u0627\u0644\u063a\u0627\u0632 \u0627\u0644\u0637\u0628\u064a\u0639\u064a \u0639\u0628\u0631 \u0627\u0644\u0627\u0646\u0627\u0628\u064a\u0628 \u0648\u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0628\u0627\u0644\u0628\u062a\u0631\u0648\u0644 \u0627\u0644\u0645\u0633\u0627\u0644 \u0627\u0636\u0627\u0641\u0647 \u0627\u0644\u0649 \u062f\u0639\u0645 \u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u062c\u0627\u0631\u064a \u062a\u0645 \u0627\u0645\u0636\u0627\u0621 \u0645\u0630\u0643\u0631\u0647 \u062a\u0641\u0627\u0647\u0645 \u0639\u0642\u062f \u0644\u062a\u0643\u0648\u064a\u0646 \u062a\u0642\u0646\u0646\u064a\u0646 \u062a\u0648\u0646\u0633\u064a\u064a\u0646 \u0627\u0644\u062c\u0632\u0627\u0626\u0631",
    "target": "\u0643\u0645\u0627 \u062a\u0645 \u0627\u0645\u0636\u0627\u0621 \u0645\u0630\u0643\u0631\u0629 \u062a\u0641\u0627\u0647\u0645 \u0639\u0642\u062f \u0644\u062a\u0643\u0648\u064a\u0646 \u062a\u0642\u0646\u0646\u064a\u0646 \u062a\u0648\u0646\u0633\u064a\u064a\u0646 \u0641\u064a \u0627\u0644\u062c\u0632\u0627\u0626\u0631 ."
  },
  {
    "text": "\u0642\u0627\u0644 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0627\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0627\u062b\u0631 \u0644\u0642\u0627\u0621 \u062c\u0645\u0639\u0647 \u0628\u0631\u0626\u064a\u0633 \u0645\u062c\u0644\u0633 \u0646\u0648\u0627\u0628 \u0627\u0644\u0634\u0639\u0628 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631 \u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u062b\u0646\u0627\u0626\u064a\u0647 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0645\u0645\u064a\u0632\u0647 \u0648\u0633\u062a\u0643\u0648\u0646 \u0627\u062d\u0633\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0641\u062a\u0631\u0647 \u0627\u0644\u0642\u0627\u062f\u0645\u0647 \u0648\u0627\u0636\u0627\u0641 \u062a\u0635\u0631\u064a\u062d \u0644\u0645\u0631\u0627\u0633\u0644 \u0627\u0644\u062c\u0648\u0647\u0631\u0647 \u0627\u0641 \u0627\u0645 \u0627\u0646\u0647 \u0639\u0627\u0647\u062f \u0631\u0626\u064a\u0633 \u0627\u0644\u0645\u062c\u0644\u0633 \u0628\u0627\u0644\u0645\u062d\u0627\u0641\u0638\u0647 \u0645\u062a\u0627\u0646\u0647 \u0627\u0644\u0639\u0644\u0627\u0642\u0647 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0648\u0645\u0648\u0627\u0635\u0644\u0647 \u0627\u0644\u062a\u0642\u062f\u0645 \u0648\u0627\u0644\u0639\u0645\u0644 \u0645\u0639\u0627 \u0648\u0627\u0648\u0636\u062d \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631 \u0627\u0628\u062f\u0649 \u062f\u0639\u0645\u0647 \u0644\u0644\u0645\u0646\u0647\u062c \u062a\u0646\u062a\u0647\u062c\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631 \u0648\u0639\u0645\u0644\u0647\u0627 \u0648\u064a\u0627\u062a\u064a \u0627\u062c\u062a\u0645\u0627\u0639 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0627\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0628\u0631\u0626\u064a\u0633 \u0627\u0644\u0645\u062c\u0644\u0633 \u0647\u0627\u0645\u0634 \u0632\u064a\u0627\u0631\u0647 \u0639\u0645\u0644 \u0627\u062f\u0627\u0647\u0627 \u0627\u0644\u064a\u0648\u0645 \u0627\u0644\u062e\u0645\u064a\u0633 \u062a\u0648\u0646\u0633 \u062a\u0631\u0627\u0633 \u062e\u0644\u0627\u0644\u0647\u0627 \u0627\u0634\u063a\u0627\u0644 \u0627\u0644\u062f\u0648\u0631\u0647 \u0627\u0644 \u0644\u0644\u062c\u0646\u0647 \u0627\u0644\u0645\u062e\u062a\u0644\u0637\u0647 \u0627\u0644\u0639\u0644\u064a\u0627 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a\u0647 \u0631\u0641\u0642\u0647 \u0631\u0626\u064a\u0633 \u0627\u0644\u062d\u0643\u0648\u0645\u0647 \u064a\u0648\u0633\u0641 \u0627\u0644\u0634\u0627\u0647\u062f \u0648\u0627\u0644\u062a\u064a \u0627\u0646\u062a\u0647\u062a \u0628\u0627\u0644\u0645\u0635\u0627\u062f\u0642\u0647 \u0639\u062f\u064a\u062f \u0627\u0644\u0627\u062a\u0641\u0627\u0642\u064a\u0627\u062a \u062a\u0648\u0646\u0633 \u0648\u0627\u0644\u062c\u0632\u0627\u0626\u0631",
    "target": "\n\u0642\u0627\u0644 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0623\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0627\u062b\u0631 \u0644\u0642\u0627\u0621 \u062c\u0645\u0639\u0647 \u0628\u0631\u0626\u064a\u0633 \u0645\u062c\u0644\u0633 \u0646\u0648\u0627\u0628 \u0627\u0644\u0634\u0639\u0628 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631\u060c \u0625\u0646 \u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u062b\u0646\u0627\u0626\u064a\u0629 \u0628\u064a\u0646 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0645\u0645\u064a\u0632\u0629 \u0648\u0633\u062a\u0643\u0648\u0646 \u0623\u062d\u0633\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0641\u062a\u0631\u0629 \u0627\u0644\u0642\u0627\u062f\u0645\u0629."
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "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 5102
valid 1276
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Models trained or fine-tuned on abdalrahmanshahrour/autotrain-data-auto-arabic-summarization