Dataset Preview
Full Screen
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" } ]
0c453d101b03b57b
[ "target", "text" ]
{}
null
{}
false
null

Dataset for the project: reviews-sentiment-analysis

Dataset Description

This dataset is for project reviews-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": "Now, I won't deny that when I purchased this off eBay, I had high expectations. This was an incredible out-of-print work from the master of comedy that I so enjoy. However, I was soon to be disappointed. Apologies to those who enjoyed it, but I just found the Compleat Al to be very difficult to watch. I got a few smiles, sure, but the majority of the funny came from the music videos (which I've got on DVD) and the rest was basically filler. You could tell that this was not Al's greatest video achievement (that honor goes to UHF). Honestly, I doubt if this will ever make the jump to DVD, so if you're an ultra-hardcore Al fan and just HAVE to own everything, buy the tape off eBay. Just don't pay too much for it.",
    "target": 0
  },
  {
    "text": "The saddest thing about this \"tribute\" is that almost all the singers (including the otherwise incredibly talented Nick Cave) seem to have missed the whole point where Cohen's intensity lies: by delivering his lines in an almost tuneless poise, Cohen transmits the full extent of his poetry, his irony, his all-round humanity, laughter and tears in one.<br /><br />To see some of these singer upstarts make convoluted suffering faces, launch their pathetic squeals in the patent effort to scream \"I'm a singer!,\" is a true pain. It's the same feeling many of you probably had listening in to some horrendous operatic versions of simple songs such as Lennon's \"Imagine.\" Nothing, simply nothing gets close to the simplicity and directness of the original. If there is a form of art that doesn't need embellishments, it's Cohen's art. Embellishments cast it in the street looking like the tasteless make-up of sex for sale.<br /><br />In this Cohen's tribute I found myself suffering and suffering through pitiful tributes and awful reinterpretations, all of them entirely lacking the original irony of the master and, if truth be told, several of these singers sounded as if they had been recruited at some asylum talent show. It's Cohen doing a tribute to them by letting them sing his material, really, not the other way around: they may have been friends, or his daughter's, he could have become very tender-hearted and in the mood for a gift. Too bad it didn't stay in the family.<br /><br />Fortunately, but only at the very end, Cohen himself performed his majestic \"Tower of Song,\" but even that flower was spoiled by the totally incongruous background of the U2, all of them carrying the expression that bored kids have when they visit their poor grandpa at the nursing home.<br /><br />A sad show, really, and sadder if you truly love Cohen as I do.",
    "target": 0
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['Negative', 'Positive'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follows:

Split name Num samples
train 7499
valid 2497
Downloads last month
45

Models trained or fine-tuned on Kaludi/data-reviews-sentiment-analysis