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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
_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"
}
] | 898f75eb01f375c3 | [
"feat_id",
"target",
"text"
] | {} | null | false | null |
AutoTrain Dataset for project: test
Dataset Description
This dataset has been automatically processed by AutoTrain for project test.
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": "13829542",
"text": "Kasia: When are u coming back?\r\nMatt: Back where?\r\nKasia: Oh come on\r\nKasia: you know what i mean\r\nMatt: I really don't \r\nKasia: When are you coming back to Warsaw\r\nMatt: I have no idea\r\nMatt: maybe around easter\r\nKasia: will you let me know\r\nMatt: sure if I know something then I will let you know asap\r\nKasia: ok \r\nMatt: are you mad?\r\nKasia: a bit\r\nMatt: oh come on\r\nMatt: this is not my fault \r\nMatt: there is no way that I can answer that question\r\nMatt: not now\r\nKasia: Fine",
"target": "Matt doesn't know when he's coming back to Warsaw. He might come around Easter. When he knows more, he will let Kasia know. Kasia is a bit upset."
},
{
"feat_id": "13862523",
"text": "Oliver: Have you beaten the game yet?\nTom: Not yet\nOliver: Ok... what mission are you playing?\nTom: The one before the final one, it's pretty hard\nOliver: I didn't find it particularly hard\nTom: I mean, combat is easy at this point in the game but the puzzles are difficult\nOliver: Ok, I got it\nTom: It's fun how most horror action games let you get really powerful by the end of the story\nOliver: Well, you know, being a pussy from start to finish ain't my idea of fun even in a horror game\nTom: I know... but do you remember Bioshock? You turned into some sort of superhero and the final boss was pretty much a joke\nOliver: Don't you dare talk like that about my favorite game\nTom: I know, I love it too, but it had its flaws\nOliver: No it didn't XD\nTom: Lol\nOliver: Well, keep playing\nTom: I'll let you know when I finish this one and my overall impressions\nOliver: Ok",
"target": "Tom will contact Oliver after finishing new horror action game."
}
]
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)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 11785 |
| valid | 2947 |
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