Datasets:
Tasks:
Text Classification
Languages:
English
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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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