Datasets:

abdalrahmanshahrour
/

data-summarizer

Dataset card Viewer Files Files and versions Community

Dataset Preview

Split (2)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

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

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.

_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" } ]	ac8e4422399d2fec	[ "target", "text" ]	{}	null	{}	false	null

YAML Metadata Warning: The task_categories "conditional-text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

AutoTrain Dataset for project: summarizer

Dataset Description

This dataset has been automatically processed by AutoTrain for project summarizer.

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": "\n\u064a\u0648\u0627\u062c\u0647 \u0627\u0644\u0627\u0633\u0628\u0627\u0646\u064a \u0631\u0641\u0627\u0626\u064a\u0644 \u0646\u0627\u062f\u0627\u0644 \u064a\u0648\u0645 \u063a\u062f \u0627\u0644\u0627\u062d\u062f \u0627\u0646\u0637\u0644\u0627\u0642\u0627 \u0645\u0646 \u0627\u0644\u0633\u0627\u0639\u0629 21:00 \u0645\u0646\u0627\u0641\u0633\u0647 \u0627\u0644\u0633\u0648\u064a\u0633\u0631\u064a \u0631\u0648\u062c\u0631 \u0641\u064a\u062f\u0631\u0631 \u0641\u064a \u0646\u0647\u0627\u0626\u064a \u0628\u0637\u0648\u0644\u0629 \u0645\u064a\u0627\u0645\u064a \u0627\u0644\u0645\u0641\u062a\u0648\u062d\u0629 \u0644\u0644\u062a\u0646\u0633 .\n\u0648 \u064a\u0633\u0639\u0649 \u0641\u064a\u062f\u0631\u0631 \u0644\u062a\u062d\u0642\u064a\u0642 \u062b\u0627\u0644\u062b \u0627\u0644\u0642\u0627\u0628\u0647 \u0647\u0630\u0627 \u0627\u0644\u0645\u0648\u0633\u0645 \u0628\u0639\u062f \u062a\u062a\u0648\u064a\u062c\u0647 \u0628\u0644\u0642\u0628 \u0628\u0637\u0648\u0644\u0629 \u0627\u0633\u062a\u0631\u0627\u0644\u064a\u0627 \u0641\u064a \u062c\u0627\u0646\u0641\u064a \u0627\u0644\u0645\u0627\u0636\u064a \u0639\u0644\u0649 \u062d\u0633\u0627\u0628 \u0646\u0627\u062f\u0627\u0644 \u0648 \u062a\u062a\u0648\u064a\u062c\u0647\u00a0\u0628\u0628\u0637\u0648\u0644\u0629 \u0625\u0646\u062f\u064a\u0627\u0646 \u0648\u064a\u0644\u0632 \u0639\u0644\u0649 \u062d\u0633\u0627\u0628 \u0645\u0648\u0627\u0637\u0646\u0647 \u0641\u0627\u0641\u0631\u064a\u0646\u0643\u0627\u00a0\u00a0.\n",
    "target": "\u0648 \u064a\u0633\u0639\u0649 \u0641\u064a\u062f\u0631\u0631 \u0644\u062a\u062d\u0642\u064a\u0642 \u062b\u0627\u0644\u062b \u0627\u0644\u0642\u0627\u0628\u0647 \u0647\u0630\u0627 \u0627\u0644\u0645\u0648\u0633\u0645 \u0628\u0639\u062f \u062a\u062a\u0648\u064a\u062c\u0647 \u0628\u0644\u0642\u0628 \u0628\u0637\u0648\u0644\u0629 \u0627\u0633\u062a\u0631\u0627\u0644\u064a\u0627 \u0641\u064a \u062c\u0627\u0646\u0641\u064a \u0627\u0644\u0645\u0627\u0636\u064a \u0639\u0644\u0649 \u062d\u0633\u0627\u0628 \u0646\u0627\u062f\u0627\u0644 \u0648 \u062a\u062a\u0648\u064a\u062c\u0647\u00a0\u0628\u0628\u0637\u0648\u0644\u0629 \u0625\u0646\u062f\u064a\u0627\u0646 \u0648\u064a\u0644\u0632 \u0639\u0644\u0649 \u062d\u0633\u0627\u0628 \u0645\u0648\u0627\u0637\u0646\u0647 \u0641\u0627\u0641\u0631\u064a\u0646\u0643\u0627\u00a0\u00a0. \n\u064a\u0648\u0627\u062c\u0647 \u0627\u0644\u0627\u0633\u0628\u0627\u0646\u064a \u0631\u0641\u0627\u0626\u064a\u0644 \u0646\u0627\u062f\u0627\u0644 \u064a\u0648\u0645 \u063a\u062f \u0627\u0644\u0627\u062d\u062f \u0627\u0646\u0637\u0644\u0627\u0642\u0627 \u0645\u0646 \u0627\u0644\u0633\u0627\u0639\u0629 21:00 \u0645\u0646\u0627\u0641\u0633\u0647 \u0627\u0644\u0633\u0648\u064a\u0633\u0631\u064a \u0631\u0648\u062c\u0631 \u0641\u064a\u062f\u0631\u0631 \u0641\u064a \u0646\u0647\u0627\u0626\u064a \u0628\u0637\u0648\u0644\u0629 \u0645\u064a\u0627\u0645\u064a \u0627\u0644\u0645\u0641\u062a\u0648\u062d\u0629 \u0644\u0644\u062a\u0646\u0633 ."
  },
  {
    "text": "\n\u0642\u0627\u0644\u062a \u0627\u0644\u0634\u0631\u0637\u0629 \u0627\u0644\u0623\u0645\u064a\u0631\u0643\u064a\u0629 \u0625\u0646 \u0631\u062c\u0644\u0627 \u0645\u0646 \u0648\u0644\u0627\u064a\u0629 \u0628\u0646\u0633\u0644\u0641\u0627\u0646\u064a\u0627 \u0627\u062a\u0635\u0644 \u0645\u0631\u0627\u0631\u0627 \u0628\u062e\u062f\u0645\u0629 \u0627\u0644\u0637\u0648\u0627\u0631\u0626 \u0628\u064a\u0646\u0645\u0627 \u0643\u0627\u0646 \u062a\u062d\u062a \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u0643\u062d\u0648\u0644 \u0648\u0628\u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u0634\u062e\u0635 \u064a\u062a\u062d\u062f\u062b \u0645\u0639\u0647.\n\u0648\u0630\u0643\u0631\u062a \u0627\u0644\u0634\u0631\u0637\u0629 \u0625\u0646 \u0644\u0627\u0631\u0649 \u0643\u064a\u0632\u0631 \u0627\u0644\u0628\u0627\u0644\u063a 51 \u0639\u0627\u0645\u0627 \u0627\u062a\u0635\u0644 \u0628\u0627\u0644\u0637\u0648\u0627\u0631\u0626 \u0644\u0623\u0648\u0644 \u0645\u0631\u0629 \u062d\u0648\u0627\u0644\u064a \u0627\u0644\u0639\u0627\u0634\u0631\u0629 \u0648\u0627\u0644\u0646\u0635\u0641 \u0645\u0646 \u0645\u0633\u0627\u0621 \u0627\u0644\u062c\u0645\u0639\u0629\u060c \u0637\u0627\u0644\u0628\u0627 \u0627\u0644\u062a\u062d\u062f\u062b \u0645\u0639 \u0636\u0627\u0628\u0637 \u0634\u0631\u0637\u0629\u060c \u0645\u0646 \u062f\u0648\u0646 \u0627\u0644\u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0627\u0644\u0637\u0648\u0627\u0631\u0626. \u0648\u0648\u0641\u0642\u0627 \u0644\u0640\"\u0623\u0633\u0648\u0634\u064a\u062a\u062f\u0628\u0631\u0633\" \u0641\u0642\u062f \u0639\u0627\u0648\u062f \u0643\u064a\u0632\u0631 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 5 \u0645\u0631\u0627\u062a \u0623\u062e\u0631\u0649\u060c \u0627\u0644\u0623\u0645\u0631 \u0627\u0644\u0630\u064a \u0627\u0633\u062a\u062f\u0639\u0649 \u0642\u0648\u0629 \u0645\u0646 \u0627\u0644\u0634\u0631\u0637\u0629 \u0625\u0644\u0649 \u0645\u0646\u0632\u0644\u0647 \u0641\u064a \u0628\u0644\u062f\u0629 \u0648\u0627\u064a\u062a\u0647\u0648\u0644 \u0627\u0644\u0634\u0645\u0627\u0644\u064a\u0629 \u0628\u0639\u062f \u0645\u0646\u062a\u0635\u0641 \u0627\u0644\u0644\u064a\u0644. \u0648\u0642\u0627\u0644 \u0627\u0644\u0631\u062c\u0644 \u0644\u0644\u0636\u0628\u0627\u0637 \u0625\u0646\u0647 \u0634\u0631\u0628 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u062c\u0639\u0629 \u0644\u0623\u0646\u0647 \u0643\u0627\u0646 \u0645\u0646\u0632\u0639\u062c\u0627 \u0645\u0646 \u0645\u0634\u0627\u0643\u0644\u0647 \u0627\u0644\u0639\u0627\u0626\u0644\u064a\u0629\u060c \u0648\u062a\u0639\u0647\u062f \u0643\u064a\u0632\u0631 \u0628\u0639\u062f\u0645 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0645\u062c\u062f\u062f\u0627 \u0628\u0627\u0644\u0634\u0631\u0637\u0629\u060c \u0625\u0644\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u062d\u0627\u0644\u0629 \u0637\u0648\u0627\u0631\u0626 \u062d\u0642\u064a\u0642\u0629 \u062a\u0633\u062a\u062f\u0639\u064a\u0647\u0645. \u0644\u0643\u0646 \u0627\u0644\u0631\u062c\u0644 \u0643\u0631\u0631 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0628\u0627\u0644\u0637\u0648\u0627\u0631\u0626 \u0628\u0639\u062f \u062f\u0642\u064a\u0642\u0629 \u0648\u0627\u062d\u062f\u0629 \u0641\u0642\u0637 \u0645\u0646 \u0645\u063a\u0627\u062f\u0631\u0629 \u0627\u0644\u0636\u0628\u0627\u0637. \u0648\u0642\u062f \u0623\u0644\u0642\u064a \u0627\u0644\u0642\u0628\u0636 \u0639\u0644\u0649 \u0643\u064a\u0632\u0631\u060c \u0644\u064a\u0648\u0627\u062c\u0647 \u0627\u062a\u0647\u0627\u0645\u0627\u062a \u0628\u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0627\u0644\u0637\u0648\u0627\u0631\u0626 \u0639\u0645\u062f\u0627 \u0644\u0623\u0633\u0628\u0627\u0628 \u063a\u064a\u0631 \u0637\u0627\u0631\u0626\u0629.\n",
    "target": "\u0648\u0648\u0641\u0642\u0627 \u0644\u0640\"\u0623\u0633\u0648\u0634\u064a\u062a\u062f\u0628\u0631\u0633\" \u0641\u0642\u062f \u0639\u0627\u0648\u062f \u0643\u064a\u0632\u0631 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 5 \u0645\u0631\u0627\u062a \u0623\u062e\u0631\u0649\u060c \u0627\u0644\u0623\u0645\u0631 \u0627\u0644\u0630\u064a \u0627\u0633\u062a\u062f\u0639\u0649 \u0642\u0648\u0629 \u0645\u0646 \u0627\u0644\u0634\u0631\u0637\u0629 \u0625\u0644\u0649 \u0645\u0646\u0632\u0644\u0647 \u0641\u064a \u0628\u0644\u062f\u0629 \u0648\u0627\u064a\u062a\u0647\u0648\u0644 \u0627\u0644\u0634\u0645\u0627\u0644\u064a\u0629 \u0628\u0639\u062f \u0645\u0646\u062a\u0635\u0641 \u0627\u0644\u0644\u064a\u0644. \u0648\u0630\u0643\u0631\u062a \u0627\u0644\u0634\u0631\u0637\u0629 \u0625\u0646 \u0644\u0627\u0631\u0649 \u0643\u064a\u0632\u0631 \u0627\u0644\u0628\u0627\u0644\u063a 51 \u0639\u0627\u0645\u0627 \u0627\u062a\u0635\u0644 \u0628\u0627\u0644\u0637\u0648\u0627\u0631\u0626 \u0644\u0623\u0648\u0644 \u0645\u0631\u0629 \u062d\u0648\u0627\u0644\u064a \u0627\u0644\u0639\u0627\u0634\u0631\u0629 \u0648\u0627\u0644\u0646\u0635\u0641 \u0645\u0646 \u0645\u0633\u0627\u0621 \u0627\u0644\u062c\u0645\u0639\u0629\u060c \u0637\u0627\u0644\u0628\u0627 \u0627\u0644\u062a\u062d\u062f\u062b \u0645\u0639 \u0636\u0627\u0628\u0637 \u0634\u0631\u0637\u0629\u060c \u0645\u0646 \u062f\u0648\u0646 \u0627\u0644\u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0627\u0644\u0637\u0648\u0627\u0631\u0626. \u0648\u0642\u0627\u0644 \u0627\u0644\u0631\u062c\u0644 \u0644\u0644\u0636\u0628\u0627\u0637 \u0625\u0646\u0647 \u0634\u0631\u0628 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u062c\u0639\u0629 \u0644\u0623\u0646\u0647 \u0643\u0627\u0646 \u0645\u0646\u0632\u0639\u062c\u0627 \u0645\u0646 \u0645\u0634\u0627\u0643\u0644\u0647 \u0627\u0644\u0639\u0627\u0626\u0644\u064a\u0629\u060c \u0648\u062a\u0639\u0647\u062f \u0643\u064a\u0632\u0631 \u0628\u0639\u062f\u0645 \u0627\u0644\u0627\u062a\u0635\u0627\u0644 \u0645\u062c\u062f\u062f\u0627 \u0628\u0627\u0644\u0634\u0631\u0637\u0629\u060c \u0625\u0644\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u062d\u0627\u0644\u0629 \u0637\u0648\u0627\u0631\u0626 \u062d\u0642\u064a\u0642\u0629 \u062a\u0633\u062a\u062f\u0639\u064a\u0647\u0645."
  }
]

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	2400
valid	600

Downloads last month: 49

Edit dataset card