Dataset Preview
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 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 | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] |
b11c602430cee634
|
[
"tags",
"tokens"
] |
{}
| null |
{}
| false | null |
AutoTrain Dataset for project: multiconer2-test1
Dataset Description
This dataset has been automatically processed by AutoTrain for project multiconer2-test1.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"tokens": [
"robert",
"gottschalk",
"1939",
"academy",
"award",
"winner",
"and",
"founder",
"of",
"panavision"
],
"tags": [
18,
49,
62,
29,
60,
62,
62,
62,
62,
16
]
},
{
"tokens": [
"during",
"the",
"reign",
"of",
"the",
"tongzhi",
"emperor",
"(",
"r",
".",
"1861",
"\u2013",
"1875",
")",
":"
],
"tags": [
62,
62,
62,
62,
62,
18,
49,
62,
62,
62,
62,
62,
62,
62,
62
]
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"tags": "Sequence(feature=ClassLabel(num_classes=63, names=['B-AnatomicalStructure', 'B-ArtWork', 'B-Artist', 'B-Athlete', 'B-CarManufacturer', 'B-Cleric', 'B-Clothing', 'B-Disease', 'B-Drink', 'B-Facility', 'B-Food', 'B-HumanSettlement', 'B-MedicalProcedure', 'B-Medication/Vaccine', 'B-MusicalGRP', 'B-MusicalWork', 'B-ORG', 'B-OtherLOC', 'B-OtherPER', 'B-OtherPROD', 'B-Politician', 'B-PrivateCorp', 'B-PublicCorp', 'B-Scientist', 'B-Software', 'B-SportsGRP', 'B-SportsManager', 'B-Station', 'B-Vehicle', 'B-VisualWork', 'B-WrittenWork', 'I-AnatomicalStructure', 'I-ArtWork', 'I-Artist', 'I-Athlete', 'I-CarManufacturer', 'I-Cleric', 'I-Clothing', 'I-Disease', 'I-Drink', 'I-Facility', 'I-Food', 'I-HumanSettlement', 'I-MedicalProcedure', 'I-Medication/Vaccine', 'I-MusicalGRP', 'I-MusicalWork', 'I-ORG', 'I-OtherLOC', 'I-OtherPER', 'I-OtherPROD', 'I-Politician', 'I-PrivateCorp', 'I-PublicCorp', 'I-Scientist', 'I-Software', 'I-SportsGRP', 'I-SportsManager', 'I-Station', 'I-Vehicle', 'I-VisualWork', 'I-WrittenWork', 'O'], 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 | 2169 |
| valid | 829 |
- Downloads last month
- 10