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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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 641, 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 456, 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 1887, 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 660, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 456, 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 1433, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1898, 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 null	_format_kwargs dict	_format_type null	_output_all_columns bool	_split null
[ { "filename": "data-00000-of-00001.arrow" } ]	eb95ab81574083dd	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	228e709449479555	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	0bb3ca3f7cbf719b	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	ce62bf8a66400ac3	null	{}	null	false	null

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Facebook Natural Reasoning - Curriculum Learning

This dataset is a curriculum learning version of the Facebook Natural Reasoning dataset, automatically split into four complexity levels:

Splits

simple_reasoning: 28898 examples - Basic arithmetic, one-step problems
basic_reasoning: 713776 examples - Chained operations, single-variable algebra
intermediate_reasoning: 397706 examples - Proportional reasoning, multi-step problems
complex_reasoning: 5444 examples - Open-domain problems requiring 3+ facts

Usage

from datasets import load_dataset

# Load specific curriculum stage
simple_data = load_dataset("facebook-natural-reasoning-curriculum", split="simple_reasoning")
basic_data = load_dataset("facebook-natural-reasoning-curriculum", split="basic_reasoning")
intermediate_data = load_dataset("facebook-natural-reasoning-curriculum", split="intermediate_reasoning")
complex_data = load_dataset("facebook-natural-reasoning-curriculum", split="complex_reasoning")

# Or load all stages
curriculum_data = load_dataset("facebook-natural-reasoning-curriculum")

Classification Logic

Examples are classified based on:

Word count and sentence complexity
Presence of mathematical operators and terms
Number of reasoning steps in the answer
Overall problem complexity

Original Dataset

This is derived from the Facebook Natural Reasoning dataset. Please cite the original work when using this curriculum version.

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