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Datasets:
fernanda-dionello
/
good-reads-string

Tasks:
Text Classification
Languages:
English
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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

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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" } ]
b530840d8eaf9670
[ "target", "text" ]
{}
null
{}
false
null

AutoTrain Dataset for project: autotrain_goodreads_string

Dataset Description

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

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "target": 5,
    "text": "This book was absolutely ADORABLE!!!!!!!!!!! It was an awesome, light and FUN read. \n I loved the characters but I absolutely LOVED Cam!!!!!!!!!!!! Major Swoooon Worthy! J \n \"You've been checking me out, haven't you? In-between your flaming insults? I feel like man candy.\" \n Seriously, between being HOT, FUNNY and OH SO VERY ADORABLE, Cam was the perfect catch!! \n \" I'm not going out with you Cam.\" \n \" I didn't ask you at this moment, now did I\" One side of his lips curved up. \" But you will eventually.\" \n \"You're delusional\" \n \"I'm determined.\" \n \" More like annoying.\" \n \" Most would say amazing.\" \n Cam and Avery's relationship is tough due to the secrets she keeps but he is the perfect match for breaking her out of her shell and facing her fears. \n This book is definitely a MUST READ. \n Trust me when I say this YOU will not regret it! \n www.Jenreadit.com"
  },
  {
    "target": 4,
    "text": "I FINISHED!!! This book took me FOREVER to read! But I am so glad I stuck with it, I really loved it. It took me a while to get into: this book has a TON of characters and storylines. But once I hit about the 100-page mark, I became very invested in the story and couldn't wait to see what would happen with Lizzie, Lane, Edward, Gin and the rest of the family. Oh, and Samuel T. There's a little bit of sex but mostly this is a sweeping romance novel, much like Dynasty and Dallas from the 1980's. If you loved those series, you will love this book. There's betrayal, unrequited love, family fortunes, and much scheming. \n There are many characters to love here and many to hate. Some are over-the-top but I loved the central storyline involving Lane and Lizzie. \n The author really gets the Southern mannerisms right, and the backdrop of the Kentucky Bourbon industry is fascinating. This book ends not so much on a cliffhanger but with many, many loose ends, and I will eagerly pick up the next book in this series."
  }
]

Dataset Fields

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

{
  "target": "ClassLabel(num_classes=6, names=['0_stars', '1_stars', '2_stars', '3_stars', '4_stars', '5_stars'], id=None)",
  "text": "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 2357
valid 592
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Models trained or fine-tuned on fernanda-dionello/good-reads-string