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Datasets:
neil-code
/
autotrain-data-test-summarization

Tasks:
Summarization
Languages:
English
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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
_output_all_columns
bool
_split
null
[ { "filename": "data-00000-of-00001.arrow" } ]
be856d1df3e2ec36
[ "feat_id", "feat_topic", "target", "text" ]
{}
null
false
null

AutoTrain Dataset for project: test-summarization

Dataset Description

This dataset has been automatically processed by AutoTrain for project test-summarization.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_id": "train_1087",
    "text": "#Person1#: Hello sir, how can I help you?\n#Person2#: Yes, I need this prescription please.\n#Person1#: Let's see. Okay, so 50 mg of Prozac, would you prefer this in capsule or tablet?\n#Person2#: Capsules are fine.\n#Person1#: Okay, you should take 1 capsule 3 times a day. Be sure not to take it on an empty stomach, and also, don't ever mix it with alcohol!\n#Person2#: Yes, I know. It's not the first time I'm taking this! Don't worry, I won't overdose!\n#Person1#: Okay, anything else I can get you?\n#Person2#: Oh, yes, I almost forgot! Can I also get some eye drops and um, some condoms?\n#Person1#: Sure. Darn condoms aren't registered in our system.\n#Person2#: Oh, well that's okay, I'll get some later, thanks. . . Really it's no problem.\n#Person1#: Just hang on there a sec. Can I get a price check on ' Fun Times Ribbed Condoms ' please!",
    "target": "#Person1# gives #Person2# #Person2#'s prescription. #Person2# also wants some eye drops and some condoms but is told that darn condoms are registered in their system.",
    "feat_topic": "the pharmacy"
  },
  {
    "feat_id": "train_1193",
    "text": "#Person1#: Don't be too sad. If you really think that you have no feeling with him, then, in my opinion, getting divorced maybe is the best way to solve the problem. \n#Person2#: I know clearly at the bottom of my heart. I just can't set my mind at rest because of the child. She's little. She cannot understand us and accept such truth. \n#Person1#: Yeah, child is the matter. Don't tell Jenny the truth, only tell her the white lie. When she grows up, you find the suitable opportunity to tell her. \n#Person2#: I see. OK. ",
    "target": "#Person1# suggests #Person2# get divorced if #Person2# has no feeling with a man and tell their daughter the white lie.",
    "feat_topic": "divorce"
  }
]

Dataset Fields

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

{
  "feat_id": "Value(dtype='string', id=None)",
  "text": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)",
  "feat_topic": "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 1599
valid 400
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Models trained or fine-tuned on neil-code/autotrain-data-test-summarization