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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'f1', 'reasoning', 'label', 'index', 'pearson_correlation', 'density'}) and 2 missing columns ({'abstracts', 'doc_ids'}).

This happened while the json dataset builder was generating data using

hf://datasets/charlieoneill/saerchModels/astroPH_feature_analysis_results_64.json (at revision b2cbb184b58880b77a546511e11d8fd214c40556)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              f1: double
              reasoning: string
              label: string
              index: int64
              pearson_correlation: double
              density: double
              to
              {'doc_ids': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'abstracts': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1577, 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 1191, 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 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'f1', 'reasoning', 'label', 'index', 'pearson_correlation', 'density'}) and 2 missing columns ({'abstracts', 'doc_ids'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/charlieoneill/saerchModels/astroPH_feature_analysis_results_64.json (at revision b2cbb184b58880b77a546511e11d8fd214c40556)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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doc_ids
sequence
abstracts
sequence
index
int64
pearson_correlation
float64
reasoning
string
label
string
density
float64
f1
float64
["1607.01526","1607.03009","1607.06240","1607.07246","1607.07888","1607.08820","1607.06710","1607.08(...TRUNCATED)
["'Globular clusters as tracers of the host galaxy mass distribution: the Fornax dSph test case'","'(...TRUNCATED)
null
null
null
null
null
null
null
null
2
0.66279
"### Step 1: Identify Common Topics, Concepts, and Features in Max-Activating Examples\n\n1. **Stran(...TRUNCATED)
Strange quark matter and strange stars
0.006939
0.75
null
null
1
0.982008
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Centaurs, TNOs, rings, satellites, characteristics
0.002961
1
null
null
4
0.510527
"### Step 1: Identify Common Topics, Concepts, and Features in Max-Activating Examples\n\n1. **Impli(...TRUNCATED)
Implicit numerical methods
0.001101
0.75
null
null
0
0.724368
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Triaxial models in astronomy
0.003665
0.8
null
null
3
0.967773
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Cosmological observables in theoretical models
0.006074
1
null
null
8
0
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Gravitational potential and energy
0.003197
0.6
null
null
7
0.186989
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Barred galaxies and their dynamics
0.004122
0.6
null
null
6
0.683468
"### Step 1: Identify Common Topics, Concepts, and Features in Max-Activating Examples\n\n1. **Comet(...TRUNCATED)
Comet C/1995 O1 (Hale-Bopp)
0.001304
0.857143
null
null
5
0.570447
"### Step 1: Identify Potential Topics, Concepts, and Features\n\nBased on the max-activating exampl(...TRUNCATED)
Magnetic fields in β Cephei stars
0.001042
0.75
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