Datasets:
ceyron
/
apebench-paper-melted-export

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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 2 new columns ({'train_loss', 'update_step'}) and 2 missing columns ({'time_step', 'mean_nRMSE'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ceyron/apebench-paper-melted-export/train_dataset_size_ablation/train_loss.csv (at revision 2904ecdc0df8ee11257572b0192612f286507ed9)

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
              seed: int64
              scenario: string
              task: string
              net: string
              train: string
              scenario_kwargs: string
              update_step: int64
              train_loss: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1178
              to
              {'seed': Value(dtype='int64', id=None), 'scenario': Value(dtype='string', id=None), 'task': Value(dtype='string', id=None), 'net': Value(dtype='string', id=None), 'train': Value(dtype='string', id=None), 'scenario_kwargs': Value(dtype='string', id=None), 'time_step': Value(dtype='int64', id=None), 'mean_nRMSE': Value(dtype='float64', 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 2 new columns ({'train_loss', 'update_step'}) and 2 missing columns ({'time_step', 'mean_nRMSE'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ceyron/apebench-paper-melted-export/train_dataset_size_ablation/train_loss.csv (at revision 2904ecdc0df8ee11257572b0192612f286507ed9)
              
              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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seed
int64
scenario
string
task
string
net
string
train
string
scenario_kwargs
string
time_step
int64
mean_nRMSE
float64
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Conv;34;10;relu
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Conv;34;10;relu
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Conv;34;10;relu
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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Conv;34;10;relu
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
27
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
29
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
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Conv;34;10;relu
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39
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47
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53
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Conv;34;10;relu
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Conv;34;10;relu
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Conv;34;10;relu
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Conv;34;10;relu
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Conv;34;10;relu
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Conv;34;10;relu
one
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81
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Conv;34;10;relu
one
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82
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Conv;34;10;relu
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83
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Conv;34;10;relu
one
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Conv;34;10;relu
one
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85
0.425376
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
86
0.428368
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
87
0.431373
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
88
0.434392
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
89
0.437424
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
90
0.440473
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
91
0.44353
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
92
0.446583
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
93
0.449624
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Conv;34;10;relu
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{'num_train_samples': 1, 'train_temporal_horizon': 1}
94
0.452653
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
95
0.455669
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
96
0.45867
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
97
0.461658
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
98
0.464628
0
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
99
0.467582
0
1d_diff_adv
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Conv;34;10;relu
one
{'num_train_samples': 1, 'train_temporal_horizon': 1}
100
0.470517
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