Datasets:

---

akweury

/

ELVIS

like 0

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 1 new columns ({'logic_rules'})

This happened while the json dataset builder was generating data using

hf://datasets/akweury/ELVIS/symmetry/train/000_0_non_overlap_solar_sys_rel_color_2_s_irrel_size/negative/00000.json (at revision 21979c21d59cf9a897b55f0a802ef0311f88b9bf)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              principle: string
              id: int64
              num: int64
              group_num: string
              qualifier_all: bool
              qualifier_exist: bool
              prop_shape: bool
              prop_color: bool
              non_overlap: bool
              prop_size: bool
              prop_count: bool
              resolution: int64
              logic_rules: string
              img_data: list<item: struct<x: double, y: double, size: double, color_name: int64, color_r: int64, color_g: int64, color_b: int64, shape: string, line_width: int64, solid: bool, start_angle: int64, end_angle: int64, group_id: int64>>
                child 0, item: struct<x: double, y: double, size: double, color_name: int64, color_r: int64, color_g: int64, color_b: int64, shape: string, line_width: int64, solid: bool, start_angle: int64, end_angle: int64, group_id: int64>
                    child 0, x: double
                    child 1, y: double
                    child 2, size: double
                    child 3, color_name: int64
                    child 4, color_r: int64
                    child 5, color_g: int64
                    child 6, color_b: int64
                    child 7, shape: string
                    child 8, line_width: int64
                    child 9, solid: bool
                    child 10, start_angle: int64
                    child 11, end_angle: int64
                    child 12, group_id: int64
              to
              {'principle': Value('string'), 'id': Value('int64'), 'num': Value('int64'), 'group_num': Value('string'), 'qualifier_all': Value('bool'), 'qualifier_exist': Value('bool'), 'prop_shape': Value('bool'), 'prop_color': Value('bool'), 'non_overlap': Value('bool'), 'prop_size': Value('bool'), 'prop_count': Value('bool'), 'resolution': Value('int64'), 'img_data': List({'x': Value('float64'), 'y': Value('float64'), 'size': Value('float64'), 'color_name': Value('int64'), 'color_r': Value('int64'), 'color_g': Value('int64'), 'color_b': Value('int64'), 'shape': Value('string'), 'line_width': Value('int64'), 'solid': Value('bool'), 'start_angle': Value('int64'), 'end_angle': Value('int64'), 'group_id': Value('int64')})}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 1 new columns ({'logic_rules'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/akweury/ELVIS/symmetry/train/000_0_non_overlap_solar_sys_rel_color_2_s_irrel_size/negative/00000.json (at revision 21979c21d59cf9a897b55f0a802ef0311f88b9bf)
              
              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)