Datasets:

---

SiggyF

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bipolariteit-pmtiles

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
version: string
name: string
description: string
points: int64
projection: string
hierarchy: struct<firstChunkSize: int64, stepSize: int64, depth: int64>
  child 0, firstChunkSize: int64
  child 1, stepSize: int64
  child 2, depth: int64
offset: list<item: double>
  child 0, item: double
scale: list<item: double>
  child 0, item: double
spacing: double
boundingBox: struct<min: list<item: double>, max: list<item: double>>
  child 0, min: list<item: double>
      child 0, item: double
  child 1, max: list<item: double>
      child 0, item: double
encoding: string
attributes: list<item: struct<name: string, description: string, size: int64, numElements: int64, elementSize: i (... 153 chars omitted)
  child 0, item: struct<name: string, description: string, size: int64, numElements: int64, elementSize: int64, type: (... 141 chars omitted)
      child 0, name: string
      child 1, description: string
      child 2, size: int64
      child 3, numElements: int64
      child 4, elementSize: int64
      child 5, type: string
      child 6, min: list<item: double>
          child 0, item: double
      child 7, max: list<item: double>
          child 0, item: double
      child 8, scale: list<item: int64>
          child 0, item: int64
      child 9, offset: list<item: int64>
          child 0, item: int64
      child 10, histogram: list<item: int64>
          child 0, item: int64
domain: struct<min: list<item: double>, max: list<item: double>, median: list<item: double>>
  child 0, min: list<item: double>
      child 0, item: double
  child 1, max: list<item: double>
      child 0, item: double
  child 2, median: list<item: double>
      child 0, item: double
overview: struct<peak_index: int64, position: list<item: double>>
  child 0, peak_index: int64
  child 1, position: list<item: double>
      child 0, item: double
outliers: struct<count: int64, sigma: double, positions: list<item: list<item: double>>>
  child 0, count: int64
  child 1, sigma: double
  child 2, positions: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
peaks: list<item: struct<position: list<item: double>, radius: double, points: int64, relative_density: dou (... 77 chars omitted)
  child 0, item: struct<position: list<item: double>, radius: double, points: int64, relative_density: double, top_cl (... 65 chars omitted)
      child 0, position: list<item: double>
          child 0, item: double
      child 1, radius: double
      child 2, points: int64
      child 3, relative_density: double
      child 4, top_clusters_level0: list<item: struct<cluster: int64, points: int64>>
          child 0, item: struct<cluster: int64, points: int64>
              child 0, cluster: int64
              child 1, points: int64
to
{'domain': {'min': List(Value('float64')), 'max': List(Value('float64')), 'median': List(Value('float64'))}, 'overview': {'peak_index': Value('int64'), 'position': List(Value('float64'))}, 'outliers': {'count': Value('int64'), 'sigma': Value('float64'), 'positions': List(List(Value('float64')))}, 'peaks': List({'position': List(Value('float64')), 'radius': Value('float64'), 'points': Value('int64'), 'relative_density': Value('float64'), 'top_clusters_level0': List({'cluster': Value('int64'), 'points': Value('int64')})})}
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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: string
              name: string
              description: string
              points: int64
              projection: string
              hierarchy: struct<firstChunkSize: int64, stepSize: int64, depth: int64>
                child 0, firstChunkSize: int64
                child 1, stepSize: int64
                child 2, depth: int64
              offset: list<item: double>
                child 0, item: double
              scale: list<item: double>
                child 0, item: double
              spacing: double
              boundingBox: struct<min: list<item: double>, max: list<item: double>>
                child 0, min: list<item: double>
                    child 0, item: double
                child 1, max: list<item: double>
                    child 0, item: double
              encoding: string
              attributes: list<item: struct<name: string, description: string, size: int64, numElements: int64, elementSize: i (... 153 chars omitted)
                child 0, item: struct<name: string, description: string, size: int64, numElements: int64, elementSize: int64, type: (... 141 chars omitted)
                    child 0, name: string
                    child 1, description: string
                    child 2, size: int64
                    child 3, numElements: int64
                    child 4, elementSize: int64
                    child 5, type: string
                    child 6, min: list<item: double>
                        child 0, item: double
                    child 7, max: list<item: double>
                        child 0, item: double
                    child 8, scale: list<item: int64>
                        child 0, item: int64
                    child 9, offset: list<item: int64>
                        child 0, item: int64
                    child 10, histogram: list<item: int64>
                        child 0, item: int64
              domain: struct<min: list<item: double>, max: list<item: double>, median: list<item: double>>
                child 0, min: list<item: double>
                    child 0, item: double
                child 1, max: list<item: double>
                    child 0, item: double
                child 2, median: list<item: double>
                    child 0, item: double
              overview: struct<peak_index: int64, position: list<item: double>>
                child 0, peak_index: int64
                child 1, position: list<item: double>
                    child 0, item: double
              outliers: struct<count: int64, sigma: double, positions: list<item: list<item: double>>>
                child 0, count: int64
                child 1, sigma: double
                child 2, positions: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              peaks: list<item: struct<position: list<item: double>, radius: double, points: int64, relative_density: dou (... 77 chars omitted)
                child 0, item: struct<position: list<item: double>, radius: double, points: int64, relative_density: double, top_cl (... 65 chars omitted)
                    child 0, position: list<item: double>
                        child 0, item: double
                    child 1, radius: double
                    child 2, points: int64
                    child 3, relative_density: double
                    child 4, top_clusters_level0: list<item: struct<cluster: int64, points: int64>>
                        child 0, item: struct<cluster: int64, points: int64>
                            child 0, cluster: int64
                            child 1, points: int64
              to
              {'domain': {'min': List(Value('float64')), 'max': List(Value('float64')), 'median': List(Value('float64'))}, 'overview': {'peak_index': Value('int64'), 'position': List(Value('float64'))}, 'outliers': {'count': Value('int64'), 'sigma': Value('float64'), 'positions': List(List(Value('float64')))}, 'peaks': List({'position': List(Value('float64')), 'radius': Value('float64'), 'points': Value('int64'), 'relative_density': Value('float64'), 'top_clusters_level0': List({'cluster': Value('int64'), 'points': Value('int64')})})}
              because column names don't match