Datasets:

---

mgalib

/

GLIM_GLHYMPS

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
Shape_Area: double
Shape_Length: double
IDENTITY_: string
Litho: string
xx: string
geometry: binary
  -- field metadata --
  ARROW:extension:name: 'geoarrow.wkb'
  ARROW:extension:metadata: '{"crs": "{\"$schema\":\"https://proj.org/sch' + 1503
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 956
geo: '{"primary_column": "geometry", "columns": {"geometry": {"encoding":' + 1650
to
{'OBJECTID_1': Value('int64'), 'IDENTITY_': Value('string'), 'logK_Ice_x': Value('int32'), 'logK_Ferr_': Value('int32'), 'Porosity_x': Value('int32'), 'K_stdev_x1': Value('int32'), 'OBJECTID': Value('int64'), 'Descriptio': Value('string'), 'XX': Value('string'), 'YY': Value('string'), 'ZZ': Value('string'), 'AA': Value('string'), 'DD': Value('string'), 'Shape_Leng': Value('float64'), 'GUM_K': Value('int32'), 'Prmfrst': Value('int32'), 'Shape_Le_1': Value('float64'), 'Shape_Area': Value('float64'), 'Transmissi': Value('float64'), 'COUNT': Value('int64'), 'AREA_1': Value('float64'), 'MEAN': Value('float64'), 'STD': Value('float64'), 'geometry': Value('binary')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 578, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 497, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 535, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 469474195 which exceeds the limit of 300000000
              
              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 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              Shape_Area: double
              Shape_Length: double
              IDENTITY_: string
              Litho: string
              xx: string
              geometry: binary
                -- field metadata --
                ARROW:extension:name: 'geoarrow.wkb'
                ARROW:extension:metadata: '{"crs": "{\"$schema\":\"https://proj.org/sch' + 1503
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 956
              geo: '{"primary_column": "geometry", "columns": {"geometry": {"encoding":' + 1650
              to
              {'OBJECTID_1': Value('int64'), 'IDENTITY_': Value('string'), 'logK_Ice_x': Value('int32'), 'logK_Ferr_': Value('int32'), 'Porosity_x': Value('int32'), 'K_stdev_x1': Value('int32'), 'OBJECTID': Value('int64'), 'Descriptio': Value('string'), 'XX': Value('string'), 'YY': Value('string'), 'ZZ': Value('string'), 'AA': Value('string'), 'DD': Value('string'), 'Shape_Leng': Value('float64'), 'GUM_K': Value('int32'), 'Prmfrst': Value('int32'), 'Shape_Le_1': Value('float64'), 'Shape_Area': Value('float64'), 'Transmissi': Value('float64'), 'COUNT': Value('int64'), 'AREA_1': Value('float64'), 'MEAN': Value('float64'), 'STD': Value('float64'), 'geometry': Value('binary')}
              because column names don't match
              
              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 1428, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                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 1858, 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