PavelDanek/s2g_summ_bart
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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 | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | c1455fe710f3df72 | [
"feat_Unnamed: 0",
"target",
"text"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: skill2go_summ_mbart
Dataset Description
This dataset has been automatically processed by AutoTrain for project skill2go_summ_mbart.
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_Unnamed: 0": 1258,
"text": "<p>\u0414\u0430\u043d\u043d\u044b\u0439 \u043a\u0443\u0440\u0441 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u0435\u0439 \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u041c\u0413\u0423 \u0418\u0421\u0410\u0410 \u0434\u043b\u044f \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u0412\u0441\u0435 \u043c\u0435\u0442\u043e\u0434\u0438\u043a\u0438, \u043f\u043e\u0434\u0445\u043e\u0434 \u043a \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e, \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u044f, \u0437\u0430\u0434\u0430\u043d\u0438\u044f, \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044b, \u0430\u0443\u0434\u0438\u043e \u0438 \u0432\u0438\u0434\u0435\u043e\u0444\u0430\u0439\u043b\u044b \u043f\u043e\u0434\u0447\u0438\u043d\u0435\u043d\u044b \u043e\u0434\u043d\u043e\u0439 \u0446\u0435\u043b\u0438 - \u0432\u043e\u0441\u043f\u0438\u0442\u0430\u043d\u0438\u044e \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u043b\u0430\u0441\u0441\u043d\u044b\u0445 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430. \u041d\u0430 \u043f\u0440\u043e\u0442\u044f\u0436\u0435\u043d\u0438\u0438 \u0431\u043e\u043b\u0435\u0435 \u0447\u0435\u043c 70 \u043b\u0435\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0438 \u043a\u0438\u0442\u0430\u0438\u0441\u0442\u043e\u0432 \u0432 \u041c\u0413\u0423 \u0418\u0421\u0410\u0410 \u043d\u0435\u043f\u0440\u0435\u0440\u044b\u0432\u043d\u043e \u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u0441\u0442\u0432\u0443\u0435\u0442\u0441\u044f \u0438 \u043d\u0435\u0438\u0437\u043c\u0435\u043d\u043d\u043e \u0434\u0430\u0435\u0442 \u043e\u0442\u043b\u0438\u0447\u043d\u044b\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b. \u0412\u043f\u0435\u0440\u0432\u044b\u0435 \u0434\u0430\u043d\u043d\u0430\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430, \u0440\u0430\u043d\u0435\u0435 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430\u044f \u043b\u0438\u0448\u044c 20-30 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0430\u043c \u0432 \u0433\u043e\u0434\u0443, \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0434\u043b\u044f \u0448\u0438\u0440\u043e\u043a\u0438\u0445 \u043c\u0430\u0441\u0441, \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0443\u044e\u0449\u0438\u0445\u0441\u044f \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u0438\u043c \u044f\u0437\u044b\u043a\u043e\u043c. </p><p><br></p><p>\u042d\u0442\u043e\u0442 \u043a\u0443\u0440\u0441 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u0435\u0440\u0432\u043e\u0439 \u0441\u0442\u0443\u043f\u0435\u043d\u044c\u044e \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0438 \u043a\u0438\u0442\u0430\u0438\u0441\u0442\u043e\u0432. \u041f\u043e\u0441\u043b\u0435 \u0443\u0441\u043f\u0435\u0448\u043d\u043e\u0433\u043e \u043e\u0441\u0432\u043e\u0435\u043d\u0438\u044f \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u0430 \u0432\u044b \u0431\u0443\u0434\u0435\u0442\u0435 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b \u0441 \u043b\u0435\u0433\u043a\u043e\u0441\u0442\u044c\u044e \u0441\u0434\u0430\u0442\u044c \u044d\u043a\u0437\u0430\u043c\u0435\u043d 1HSK. \u0412\u044b \u0441\u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0444\u043e\u043d\u0435\u0442\u0438\u043a\u0443 \u0438 \u0431\u0443\u0434\u0435\u0442\u0435 \u0437\u0432\u0443\u0447\u0430\u0442\u044c \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043a\u0430\u043a \u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c \u044f\u0437\u044b\u043a\u0430. \u0412\u044b \u043e\u0441\u0432\u043e\u0438\u0442\u0435 \u0431\u0430\u0437\u043e\u0432\u0443\u044e \u0438\u0435\u0440\u043e\u0433\u043b\u0438\u0444\u0438\u043a\u0443, \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u0435 \u0437\u043d\u0430\u043d\u0438\u044f \u043f\u043e \u0431\u0430\u0437\u043e\u0432\u043e\u0439 \u0433\u0440\u0430\u043c\u043c\u0430\u0442\u0438\u043a\u0435 \u0438 \u0441 \u043b\u0435\u0433\u043a\u043e\u0441\u0442\u044c\u044e \u043d\u0430\u0447\u043d\u0435\u0442\u0435 \u043e\u0431\u0449\u0430\u0442\u044c\u0441\u044f \u0441 \u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044f\u043c\u0438. </p><p><br></p><p>\u041d\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0433\u043e \u043e\u043f\u044b\u0442\u0430 \u0438\u0437\u0443\u0447\u0435\u043d\u0438\u044f \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430. \u041f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0432\u0441\u0435\u0445 \u0432\u043e\u0437\u0440\u0430\u0441\u0442\u043e\u0432.</p>",
"target": "\u041d\u0430\u0447\u0430\u043b\u044c\u043d\u044b\u0439 \u043a\u0443\u0440\u0441 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 \u0434\u043b\u044f \u0432\u0441\u0435\u0445"
},
{
"feat_Unnamed: 0": 598,
"text": "<p>\u041a\u0443\u0440\u0441 \u043d\u0430\u0446\u0435\u043b\u0435\u043d \u043d\u0430 \u0438\u0437\u0443\u0447\u0435\u043d\u0438\u0435 \u0440\u0435\u0436\u0438\u0441\u0441\u0443\u0440\u044b \u043c\u043e\u043d\u0442\u0430\u0436\u0430 \u0441 \u043d\u0443\u043b\u044f \u0438 \u0432 \u043f\u043e\u043b\u043d\u043e\u043c \u043e\u0431\u044a\u0435\u043c\u0435 \u0440\u0430\u0441\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u0432\u0435\u0441\u044c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b. \u0414\u043e\u043b\u0433\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u044d\u0442\u043e\u0442 \u043a\u0443\u0440\u0441 \u0431\u044b\u043b \u043e\u0434\u0438\u043d \u0438\u0437 \u0441\u0430\u043c\u044b\u0445 \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u044b\u0445 \u0438 \u0433\u043b\u0443\u0431\u043e\u043a\u0438\u0445 \u0432\u043e \u0432\u0441\u0435\u043c \u0440\u0443\u0441\u0441\u043a\u043e\u044f\u0437\u044b\u0447\u043d\u043e\u043c \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0435. \u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0430 \u043d\u0435\u043c \u0431\u044b\u043b\u043e 800$. \u0421\u0435\u0439\u0447\u0430\u0441 \u043c\u044b \u0434\u0435\u043b\u0438\u043c\u0441\u044f \u0438\u043c \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e. </p><p><strong>\u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0431\u043b\u043e\u043a\u0438 \u043a\u0443\u0440\u0441\u0430:</strong></p><ol><li><p>\u041e\u0431\u0437\u043e\u0440 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430</p></li><li><p>\u041d\u0430\u0447\u0430\u043b\u043e \u0440\u0430\u0431\u043e\u0442\u044b. \u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f \u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u043c\u043e\u043d\u0442\u0430\u0436\u0430</p></li><li><p>\u0420\u0430\u0431\u043e\u0442\u0430 \u0441\u043e \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c\u044e, \u0410\u0442\u0440\u0438\u0431\u0443\u0442\u0430\u043c\u0438 \u0438 \u0410\u043d\u0438\u043c\u0430\u0446\u0438\u044f</p></li><li><p>\u0420\u0430\u0431\u043e\u0442\u0430 \u0441\u043e \u0437\u0432\u0443\u043a\u043e\u043c</p></li><li><p>\u0420\u0430\u0431\u043e\u0442\u0430 \u0441 \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0439</p></li><li><p>\u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u0432 \u0438 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u043e\u0432. \u0420\u0430\u0431\u043e\u0442\u0430 \u0441 \u0445\u0440\u043e\u043c\u0430\u043a\u0435\u0435\u043c</p></li><li><p>\u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u0435\u043a\u0441\u0442\u0430</p></li><li><p>\u0418\u043d\u0434\u0436\u0435\u0441\u0442 \u0438 \u043c\u043d\u043e\u0433\u043e\u043a\u0430\u043c\u0435\u0440\u043d\u044b\u0439 \u043c\u043e\u043d\u0442\u0430\u0436</p></li><li><p>\u0426\u0432\u0435\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043a\u0446\u0438\u044f</p></li><li><p>\u0424\u0438\u043d\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0438 \u041a\u043e\u043d\u0432\u0435\u0440\u0442\u0430\u0446\u0438\u044f</p><p><br></p></li></ol><p>Final Cut Pro 7 \u0434\u043e\u043b\u0433\u043e \u0432\u0440\u0435\u043c\u044f \u0431\u044b\u043b \u043b\u0438\u0434\u0435\u0440\u043e\u043c \u0441\u0440\u0435\u0434\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c \u0434\u043b\u044f \u043c\u043e\u043d\u0442\u0430\u0436\u0430 \u0432 \u0413\u043e\u043b\u043b\u0438\u0432\u0443\u0434\u0435 \u0438 \u0415\u0432\u0440\u043e\u043f\u0435. \u0421\u0432\u044f\u0437\u0430\u043d\u043e \u044d\u0442\u043e \u0441 \u0435\u0433\u043e \u0448\u0438\u0440\u043e\u043a\u0438\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u043c \u0438 \u0443\u0434\u043e\u0431\u0441\u0442\u0432\u043e\u043c \u0440\u0430\u0431\u043e\u0442\u044b. </p><p>\u041e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u044d\u0442\u043e\u0439 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u0431\u044b\u043b\u0430 \u043f\u0440\u0435\u043a\u0440\u0430\u0449\u0435\u043d\u0430 \u0432 2011 \u0433\u043e\u0434\u0443. \u0421\u0442\u0430\u0440\u043e\u0435 \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u0437\u0430\u043c\u0435\u043d\u0438\u043b \u043d\u043e\u0432\u044b\u0439 Final Cut Pro X. \u0422\u0435\u043c \u043d\u0435 \u043c\u0435\u043d\u0435\u0435, \u0434\u0430\u0436\u0435 \u0441\u043f\u0443\u0441\u0442\u044f \u0431\u043e\u043b\u0435\u0435 10 \u043b\u0435\u0442, \u043c\u043d\u043e\u0433\u0438\u0435 \u0440\u0435\u0436\u0438\u0441\u0441\u0435\u0440\u044b \u043c\u043e\u043d\u0442\u0430\u0436\u0430 \u043d\u0430 \u0442\u0435\u043b\u0435\u043a\u0430\u043d\u0430\u043b\u0430\u0445 \u0438 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u0435\u043d\u0430\u0445 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u044e\u0442 \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u0441\u0442\u0430\u0440\u043e\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b. \u0418\u0437\u0443\u0447\u0438\u0432 \u044d\u0442\u0443 \u0432\u0435\u0440\u0441\u0438\u044e \u0432\u044b \u043f\u043e\u0439\u043c\u0435\u0442\u0435 \u043a\u0430\u043a \u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043c\u043e\u043d\u0442\u0430\u0436 \u0438 \u043d\u0430\u0443\u0447\u0438\u0442\u0435\u0441\u044c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u0442\u0435\u0445\u043d\u0438\u043a\u0430\u043c\u0438 \u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u043c\u0438 \u043c\u043e\u043d\u0442\u0430\u0436\u0430.</p><p>\u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u043e\u0432\u043e\u043b\u044c\u043d\u043e \u0434\u0435\u043c\u043e\u043a\u0440\u0430\u0442\u0438\u0447\u043d\u044b. \u0414\u043b\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430 Final Cut Pro 7 \u043f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0441 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u043c Core 2 Duo, 2 \u0413\u0411 \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438, \u0438 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u0430 \u0443\u0440\u043e\u0432\u043d\u044f Intel HD Graphics 3000. \u041d\u043e \u0432\u0435\u0440\u0441\u0438\u044f \u041c\u0430\u0441\u041e\u0421 \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u043d\u0435 \u043d\u043e\u0432\u0435\u0435 10.11 (High Sierra). \u0423\u0447\u0442\u0438\u0442\u0435 \u0442\u0430\u043a\u0436\u0435, \u0447\u0442\u043e \u043d\u0430 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u043d\u0435 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0430 \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0441\u0442\u0430\u0440\u0430\u044f \u0438 \u043d\u043e\u0432\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b. </p><p> </p><p><br></p><p>\u0416\u0435\u043b\u0430\u0435\u043c \u043f\u0440\u0438\u044f\u0442\u043d\u043e\u0433\u043e \u0438 \u043f\u043b\u043e\u0434\u043e\u0442\u0432\u043e\u0440\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f!</p>",
"target": "\u041f\u043e\u043b\u043d\u044b\u0439 \u043a\u0443\u0440\u0441 \u043f\u043e \u0440\u0435\u0436\u0438\u0441\u0441\u0443\u0440\u0435 \u043c\u043e\u043d\u0442\u0430\u0436\u0430 \u0432 Final Cut Pro 7 \u043e\u0442 Apple Certified Pro"
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"feat_Unnamed: 0": "Value(dtype='int64', 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 | 1830 |
| valid | 458 |
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Models trained or fine-tuned on PavelDanek/autotrain-data-skill2go_summ_mbart