Datasets:

davisalex22
/

autotrain-data-reglamentos_quito

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Split (2)

train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    DatasetGenerationError
Message:      An error occurred while generating the dataset
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 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, 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 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, 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 1321, 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 935, 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" } ]	1052f2f7a02669c3	[ "answers.answer_start", "answers.text", "context", "question" ]	{}	null	false	null

AutoTrain Dataset for project: reglamentos_quito

Dataset Description

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

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "context": "Art\u00edculo 11.- De la multa por retraso en la ejecuci\u00f3n de obras.- En caso de retraso en la\nejecuci\u00f3n de las obras de urbanizaci\u00f3n, los copropietarios del predio donde se encuentra el\nAsentamiento Humano de Hecho y Consolidado Comit\u00e9 Promejoras del Barrio \"San \nPedrito\", pagar\u00e1n a la Municipalidad en calidad de multa, el uno por mil por cada d\u00eda de \nretraso, calculado del costo de las obras no ejecutadas. \nDe persistir el incumplimiento, el Municipio podr\u00e1 ejecutar las obras, cuyo costo estar\u00e1 a \ncargo de todos los propietarios de los lotes, adem\u00e1s de un recargo del 30%. \nEmitidos los informes correspondientes que establezcan la multa por incumplimiento de las \nobras de urbanizaci\u00f3n, se notificar\u00e1 a la Direcci\u00f3n Metropolitana Financiera para que emita \nel t\u00edtulo de cr\u00e9dito respectivo y proceda a su cobro, incluso por la v\u00eda coactiva.",
    "question": "\u00bfQu\u00e9 sucede en caso de retraso en la ejecuci\u00f3n de las obras de urbanizaci\u00f3n?",
    "answers.text": [
      "Los copropietarios del predio donde se encuentra el Asentamiento Humano de Hecho y Consolidado Comit\u00e9 Promejoras del Barrio \u201cSan Pedrito\u201d, pagar\u00e1n a la Municipalidad en calidad de multa, el uno por mil por cada d\u00eda de retraso, calculado del costo de las obras no ejecutadas."
    ],
    "answers.answer_start": [
      0
    ]
  },
  {
    "context": "Art\u00edculo 15.- Potestad de ejecuci\u00f3n.- Para el fiel cumplimiento de las disposiciones de esta \nordenanza, y en caso de que no se hayan cumplido los plazos establecidos, se podr\u00e1 \nsolicitar el auxilio de la Polic\u00eda Nacional o ejecutar en forma subsidiaria los actos que el \nobligado no hubiere cumplido, a costa de estos. En este evento, se podr\u00e1 recuperar los \nvalores invertidos, por la v\u00eda coactiva, con un recargo del veinte por ciento (20%) m\u00e1s los \nintereses correspondientes. ",
    "question": "\u00bfQu\u00e9 sucede si no se cumplen los plazos establecidos seg\u00fan el Art\u00edculo 15?",
    "answers.text": [
      "En caso de que no se hayan cumplido los plazos establecidos, se podr\u00e1 solicitar el auxilio de la Polic\u00eda Nacional o ejecutar en forma subsidiaria los actos que el obligado no hubiere cumplido, a costa de estos."
    ],
    "answers.answer_start": [
      0
    ]
  }
]

Dataset Fields

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

{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-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	69
valid	18

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