Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
shape: list<item: int64>
  child 0, item: int64
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
  child 0, name: string
  child 1, configuration: struct<chunk_shape: list<item: int64>>
      child 0, chunk_shape: list<item: int64>
          child 0, item: int64
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
  child 0, name: string
  child 1, configuration: struct<separator: string>
      child 0, separator: string
fill_value: int64
codecs: list<item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, (... 37 chars omitted)
  child 0, item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: s (... 25 chars omitted)
      child 0, name: string
      child 1, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>
          child 0, typesize: int64
          child 1, cname: string
          child 2, clevel: int64
          child 3, shuffle: string
          child 4, blocksize: int64
attributes: struct<coordinates: string>
  child 0, coordinates: string
dimension_names: list<item: string>
  child 0, item: string
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
  child 0, item: null
consolidated_metadata: struct<kind: string, must_understand: bool, metadata: struct<cloud_cover_high_percentage: struct<sha (... 10972 chars omitted)
...
int64
          child 3, chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
              child 0, name: string
              child 1, configuration: struct<separator: string>
                  child 0, separator: string
          child 4, fill_value: string
          child 5, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string (... 53 chars omitted)
              child 0, item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: i (... 41 chars omitted)
                  child 0, name: string
                  child 1, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: in (... 4 chars omitted)
                      child 0, endian: string
                      child 1, typesize: int64
                      child 2, cname: string
                      child 3, clevel: int64
                      child 4, shuffle: string
                      child 5, blocksize: int64
          child 6, attributes: struct<coordinates: string, _FillValue: string>
              child 0, coordinates: string
              child 1, _FillValue: string
          child 7, dimension_names: list<item: string>
              child 0, item: string
          child 8, zarr_format: int64
          child 9, node_type: string
          child 10, storage_transformers: list<item: null>
              child 0, item: null
to
{'attributes': {'model': Value('string'), 'run_init': Value('timestamp[s]'), 'grid': Value('string')}, 'zarr_format': Value('int64'), 'consolidated_metadata': {'kind': Value('string'), 'must_understand': Value('bool'), 'metadata': {'cloud_cover_high_percentage': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('int64'), 'codecs': List({'name': Value('string'), 'configuration': {'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}, 'cloud_cover_low_percentage': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('int64'), 'codecs': List({'name': Value('string'), 'configuration': {'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('s
...
ue('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('string'), 'codecs': List({'name': Value('string'), 'configuration': {'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string'), '_FillValue': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}, 'wind_speed_10m_metrePerSecond': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('string'), 'codecs': List({'name': Value('string'), 'configuration': {'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string'), '_FillValue': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}}}, 'node_type': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              shape: list<item: int64>
                child 0, item: int64
              data_type: string
              chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
                child 0, name: string
                child 1, configuration: struct<chunk_shape: list<item: int64>>
                    child 0, chunk_shape: list<item: int64>
                        child 0, item: int64
              chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
                child 0, name: string
                child 1, configuration: struct<separator: string>
                    child 0, separator: string
              fill_value: int64
              codecs: list<item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, (... 37 chars omitted)
                child 0, item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: s (... 25 chars omitted)
                    child 0, name: string
                    child 1, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>
                        child 0, typesize: int64
                        child 1, cname: string
                        child 2, clevel: int64
                        child 3, shuffle: string
                        child 4, blocksize: int64
              attributes: struct<coordinates: string>
                child 0, coordinates: string
              dimension_names: list<item: string>
                child 0, item: string
              zarr_format: int64
              node_type: string
              storage_transformers: list<item: null>
                child 0, item: null
              consolidated_metadata: struct<kind: string, must_understand: bool, metadata: struct<cloud_cover_high_percentage: struct<sha (... 10972 chars omitted)
              ...
              int64
                        child 3, chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
                            child 0, name: string
                            child 1, configuration: struct<separator: string>
                                child 0, separator: string
                        child 4, fill_value: string
                        child 5, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string (... 53 chars omitted)
                            child 0, item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: i (... 41 chars omitted)
                                child 0, name: string
                                child 1, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: in (... 4 chars omitted)
                                    child 0, endian: string
                                    child 1, typesize: int64
                                    child 2, cname: string
                                    child 3, clevel: int64
                                    child 4, shuffle: string
                                    child 5, blocksize: int64
                        child 6, attributes: struct<coordinates: string, _FillValue: string>
                            child 0, coordinates: string
                            child 1, _FillValue: string
                        child 7, dimension_names: list<item: string>
                            child 0, item: string
                        child 8, zarr_format: int64
                        child 9, node_type: string
                        child 10, storage_transformers: list<item: null>
                            child 0, item: null
              to
              {'attributes': {'model': Value('string'), 'run_init': Value('timestamp[s]'), 'grid': Value('string')}, 'zarr_format': Value('int64'), 'consolidated_metadata': {'kind': Value('string'), 'must_understand': Value('bool'), 'metadata': {'cloud_cover_high_percentage': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('int64'), 'codecs': List({'name': Value('string'), 'configuration': {'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}, 'cloud_cover_low_percentage': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('int64'), 'codecs': List({'name': Value('string'), 'configuration': {'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('s
              ...
              ue('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('string'), 'codecs': List({'name': Value('string'), 'configuration': {'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string'), '_FillValue': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}, 'wind_speed_10m_metrePerSecond': {'shape': List(Value('int64')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('int64'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('string'), 'codecs': List({'name': Value('string'), 'configuration': {'endian': Value('string'), 'typesize': Value('int64'), 'cname': Value('string'), 'clevel': Value('int64'), 'shuffle': Value('string'), 'blocksize': Value('int64')}}), 'attributes': {'coordinates': Value('string'), '_FillValue': Value('string')}, 'dimension_names': List(Value('string')), 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}}}, 'node_type': Value('string')}
              because column names don't match

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.

No dataset card yet

Downloads last month
4,055