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Datasets:
nezhazheng
/
autotrain-data-xx

Tasks:
Translation
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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:    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" } ]
bfb95b86a4714996
[ "feat_db_id", "feat_query_toks", "feat_query_toks_no_value", "feat_question_toks", "source", "target" ]
{}
null
false
null

AutoTrain Dataset for project: xx

Dataset Description

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

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_db_id": "department_management",
    "target": "SELECT count(*) FROM head WHERE age  >  56",
    "source": "How many heads of the departments are older than 56 ?",
    "feat_query_toks": [
      "SELECT",
      "count",
      "(",
      "*",
      ")",
      "FROM",
      "head",
      "WHERE",
      "age",
      ">",
      "56"
    ],
    "feat_query_toks_no_value": [
      "select",
      "count",
      "(",
      "*",
      ")",
      "from",
      "head",
      "where",
      "age",
      ">",
      "value"
    ],
    "feat_question_toks": [
      "How",
      "many",
      "heads",
      "of",
      "the",
      "departments",
      "are",
      "older",
      "than",
      "56",
      "?"
    ]
  },
  {
    "feat_db_id": "department_management",
    "target": "SELECT name ,  born_state ,  age FROM head ORDER BY age",
    "source": "List the name, born state and age of the heads of departments ordered by age.",
    "feat_query_toks": [
      "SELECT",
      "name",
      ",",
      "born_state",
      ",",
      "age",
      "FROM",
      "head",
      "ORDER",
      "BY",
      "age"
    ],
    "feat_query_toks_no_value": [
      "select",
      "name",
      ",",
      "born_state",
      ",",
      "age",
      "from",
      "head",
      "order",
      "by",
      "age"
    ],
    "feat_question_toks": [
      "List",
      "the",
      "name",
      ",",
      "born",
      "state",
      "and",
      "age",
      "of",
      "the",
      "heads",
      "of",
      "departments",
      "ordered",
      "by",
      "age",
      "."
    ]
  }
]

Dataset Fields

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

{
  "feat_db_id": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "source": "Value(dtype='string', id=None)",
  "feat_query_toks": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_query_toks_no_value": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "feat_question_toks": "Sequence(feature=Value(dtype='string', 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 1001
valid 1001
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Models trained or fine-tuned on nezhazheng/autotrain-data-xx