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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" } ]
8e0189a90097f37b
[ "target", "text" ]
{}
null
false
null

AutoTrain Dataset for project: imdb-sentiment-analysis

Dataset Description

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

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "Me neither, but this flick is unfortunately one of those movies that are too bad to be good and too good to be awful, which makes it utterly pointless and a total waste of time. There's nothing more uninteresting than a mediocre movie, and My Name is Modesty: Whatever the subtitle is takes mediocrity to a new level. It's full of B-actors but isn't any fun whatsoever because it takes itself seriously. It sets itself up as a thriller but then turns into some kind of growing-up drama, flashback style. The beautiful Alexandra Staden, smothered beyond recognition under makeup, more resembles a cast member from Top Model than Modesty Blaise. I'm not one of those die-hard comic book freaks who wants every adaptation of his precious \"graphic novels\" to be pitch-perfect - in fact I've never even read Modesty Blaise - all I wanted was a decent movie to watch. But this wasn't it. The film feels half-finished, with a weak and very unexciting conclusion to a rather weak plot. It also takes its audience for idiots, explaining every tiny detail of the plot to us and showing flashbacks of things that happened three scenes ago (I guess they think we all have Alzheimers).<br /><br />Now I love a good B-movie - what's better than just turning your brain off and swallowing the cinematic equivalent of a Calzone? - and \"Modesty\" is directed by none other than Scott Spiegel, who brought us the wonderful splatter crap flick From Dusk Till Dawn 2: Texas Blood Money! I loved From Dusk Till Dawn 2 because it brought everything a bad B-movie should bring to the table - nudity, gore, guns, you name it. \"Modesty\" is just dull. The flashback concerning Modesty's life isn't interesting. The acting isn't bad enough to be laughed at. In fact, I kinda liked Nikolaj Coaster-Waldau's (hey buddy, pseudonyms are your friends!) performance as the baddie.<br /><br />So overall it's just lame. Weak. Uninspired. Call it what you will. Don't watch anything because Tarantino presents it, people. This is just a very forgettable, half-hearted thriller, and it never tries to be more than that. Allow me to round off this review with a very lame pun (seriously, even I'm cringing): My Name Is Modesty: A Modesty Waste of Time - 4/10",
    "target": 0
  },
  {
    "text": "This movie was so incredibly boring, Michael J. Fox could've done so much better. Sorry, but it's true for all you people who liked the movie",
    "target": 0
  }
]

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 2398
valid 601
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