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Datasets:
warrormac
/
autotrain-data-my-train

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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" } ]
d503b16b396aaeac
[ "feat_Unnamed: 10", "feat_Unnamed: 11", "feat_Unnamed: 12", "feat_Unnamed: 13", "feat_Unnamed: 14", "feat_Unnamed: 15", "feat_Unnamed: 16", "feat_Unnamed: 17", "feat_Unnamed: 4", "feat_Unnamed: 5", "feat_Unnamed: 6", "feat_Unnamed: 7", "feat_Unnamed: 8", "feat_Unnamed: 9", "feat_eng", "feat_spa", "source", "target" ]
{}
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{}
false
null

AutoTrain Dataset for project: my-train

Dataset Description

This dataset has been automatically processed by AutoTrain for project my-train.

Languages

The BCP-47 code for the dataset's language is en2es.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_eng": "eng",
    "feat_spa": "spa",
    "source": "Can you remember the first time you heard the Beatles?",
    "target": "\u00bfRecuerdas la primera vez que escuchaste a los Beatles?",
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null,
    "feat_Unnamed: 6": null,
    "feat_Unnamed: 7": null,
    "feat_Unnamed: 8": null,
    "feat_Unnamed: 9": null,
    "feat_Unnamed: 10": null,
    "feat_Unnamed: 11": null,
    "feat_Unnamed: 12": null,
    "feat_Unnamed: 13": null,
    "feat_Unnamed: 14": null,
    "feat_Unnamed: 15": null,
    "feat_Unnamed: 16": null,
    "feat_Unnamed: 17": null
  },
  {
    "feat_eng": "eng",
    "feat_spa": "spa",
    "source": "He is always talking big.",
    "target": "\u00c9l siempre est\u00e1 alardeando.",
    "feat_Unnamed: 4": null,
    "feat_Unnamed: 5": null,
    "feat_Unnamed: 6": null,
    "feat_Unnamed: 7": null,
    "feat_Unnamed: 8": null,
    "feat_Unnamed: 9": null,
    "feat_Unnamed: 10": null,
    "feat_Unnamed: 11": null,
    "feat_Unnamed: 12": null,
    "feat_Unnamed: 13": null,
    "feat_Unnamed: 14": null,
    "feat_Unnamed: 15": null,
    "feat_Unnamed: 16": null,
    "feat_Unnamed: 17": null
  }
]

Dataset Fields

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

{
  "feat_eng": "Value(dtype='string', id=None)",
  "feat_spa": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "feat_Unnamed: 4": "Value(dtype='string', id=None)",
  "feat_Unnamed: 5": "Value(dtype='string', id=None)",
  "feat_Unnamed: 6": "Value(dtype='string', id=None)",
  "feat_Unnamed: 7": "Value(dtype='string', id=None)",
  "feat_Unnamed: 8": "Value(dtype='string', id=None)",
  "feat_Unnamed: 9": "Value(dtype='string', id=None)",
  "feat_Unnamed: 10": "Value(dtype='string', id=None)",
  "feat_Unnamed: 11": "Value(dtype='string', id=None)",
  "feat_Unnamed: 12": "Value(dtype='string', id=None)",
  "feat_Unnamed: 13": "Value(dtype='string', id=None)",
  "feat_Unnamed: 14": "Value(dtype='string', id=None)",
  "feat_Unnamed: 15": "Value(dtype='string', id=None)",
  "feat_Unnamed: 16": "Value(dtype='string', id=None)",
  "feat_Unnamed: 17": "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 2028
valid 507
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Models trained or fine-tuned on warrormac/autotrain-data-my-train