Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'node', 'degree'}) and 14 missing columns ({'n0', 'n1', 'n4', 'n5', 'n11', 'n3', 'n10', 'n8', 'n9', 'Unnamed: 0', 'n2', 'n6', 'n7', 'n12'}).

This happened while the csv dataset builder was generating data using

hf://datasets/antonypamo/savant_rrf1_curated/degree_13.csv (at revision 2f8c494f8d4fac90ad32b84012c42aaa101181f8)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              node: int64
              degree: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 478
              to
              {'Unnamed: 0': Value('string'), 'n0': Value('float64'), 'n1': Value('float64'), 'n2': Value('float64'), 'n3': Value('float64'), 'n4': Value('float64'), 'n5': Value('float64'), 'n6': Value('float64'), 'n7': Value('float64'), 'n8': Value('float64'), 'n9': Value('float64'), 'n10': Value('float64'), 'n11': Value('float64'), 'n12': Value('float64')}
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 ({'node', 'degree'}) and 14 missing columns ({'n0', 'n1', 'n4', 'n5', 'n11', 'n3', 'n10', 'n8', 'n9', 'Unnamed: 0', 'n2', 'n6', 'n7', 'n12'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/antonypamo/savant_rrf1_curated/degree_13.csv (at revision 2f8c494f8d4fac90ad32b84012c42aaa101181f8)
              
              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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Unnamed: 0
string
n0
float64
n1
float64
n2
float64
n3
float64
n4
float64
n5
float64
n6
float64
n7
float64
n8
float64
n9
float64
n10
float64
n11
float64
n12
float64
n0
0
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
0.618034
n1
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n2
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n3
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n4
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n5
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n6
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n7
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n8
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n9
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n10
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n11
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
n12
0.618034
0
0
0
0
0
0
0
0
0
0
0
0
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
n0
0.620202
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
0.140105
n1
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n2
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n3
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n4
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n5
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n6
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n7
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n8
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n9
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n10
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n11
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
n12
0.140105
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
0.03165
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
End of preview.
README.md exists but content is empty.
Downloads last month
32

Space using antonypamo/savant_rrf1_curated 1