Datasets:

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navifold-class-maps

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Loving Science 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
mean: double
std: double
property_name: string
bounds: struct<x: list<item: double>, y: list<item: double>, mw: list<item: double>, logp: list<item: double (... 91 chars omitted)
  child 0, x: list<item: double>
      child 0, item: double
  child 1, y: list<item: double>
      child 0, item: double
  child 2, mw: list<item: double>
      child 0, item: double
  child 3, logp: list<item: double>
      child 0, item: double
  child 4, tpsa: list<item: double>
      child 0, item: double
  child 5, hbd: list<item: double>
      child 0, item: double
  child 6, hba: list<item: double>
      child 0, item: double
  child 7, pIC50: null
model_dir: string
points_url: string
embedding: string
has_projector: bool
n_molecules: int64
has_lmdt_score: bool
has_inchikey: bool
heatmap: struct<url: string, grid_w: int64, grid_h: int64, minX: double, maxX: double, minY: double, maxY: do (... 5 chars omitted)
  child 0, url: string
  child 1, grid_w: int64
  child 2, grid_h: int64
  child 3, minX: double
  child 4, maxX: double
  child 5, minY: double
  child 6, maxY: double
has_pic50: bool
description: string
has_generator: bool
title: string
map_id: string
format: string
gmm_prior: null
to
{'map_id': Value('string'), 'title': Value('string'), 'description': Value('string'), 'embedding': Value('string'), 'has_projector': Value('bool'), 'has_generator': Value('bool'), 'model_dir': Value('string'), 'format': Value('string'), 'n_molecules': Value('int64'), 'bounds': {'x': List(Value('float64')), 'y': List(Value('float64')), 'mw': List(Value('float64')), 'logp': List(Value('float64')), 'tpsa': List(Value('float64')), 'hbd': List(Value('float64')), 'hba': List(Value('float64')), 'pIC50': Value('null')}, 'has_pic50': Value('bool'), 'has_lmdt_score': Value('bool'), 'has_inchikey': Value('bool'), 'points_url': Value('string'), 'heatmap': {'url': Value('string'), 'grid_w': Value('int64'), 'grid_h': Value('int64'), 'minX': Value('float64'), 'maxX': Value('float64'), 'minY': Value('float64'), 'maxY': Value('float64')}, 'gmm_prior': Value('null')}
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
              mean: double
              std: double
              property_name: string
              bounds: struct<x: list<item: double>, y: list<item: double>, mw: list<item: double>, logp: list<item: double (... 91 chars omitted)
                child 0, x: list<item: double>
                    child 0, item: double
                child 1, y: list<item: double>
                    child 0, item: double
                child 2, mw: list<item: double>
                    child 0, item: double
                child 3, logp: list<item: double>
                    child 0, item: double
                child 4, tpsa: list<item: double>
                    child 0, item: double
                child 5, hbd: list<item: double>
                    child 0, item: double
                child 6, hba: list<item: double>
                    child 0, item: double
                child 7, pIC50: null
              model_dir: string
              points_url: string
              embedding: string
              has_projector: bool
              n_molecules: int64
              has_lmdt_score: bool
              has_inchikey: bool
              heatmap: struct<url: string, grid_w: int64, grid_h: int64, minX: double, maxX: double, minY: double, maxY: do (... 5 chars omitted)
                child 0, url: string
                child 1, grid_w: int64
                child 2, grid_h: int64
                child 3, minX: double
                child 4, maxX: double
                child 5, minY: double
                child 6, maxY: double
              has_pic50: bool
              description: string
              has_generator: bool
              title: string
              map_id: string
              format: string
              gmm_prior: null
              to
              {'map_id': Value('string'), 'title': Value('string'), 'description': Value('string'), 'embedding': Value('string'), 'has_projector': Value('bool'), 'has_generator': Value('bool'), 'model_dir': Value('string'), 'format': Value('string'), 'n_molecules': Value('int64'), 'bounds': {'x': List(Value('float64')), 'y': List(Value('float64')), 'mw': List(Value('float64')), 'logp': List(Value('float64')), 'tpsa': List(Value('float64')), 'hbd': List(Value('float64')), 'hba': List(Value('float64')), 'pIC50': Value('null')}, 'has_pic50': Value('bool'), 'has_lmdt_score': Value('bool'), 'has_inchikey': Value('bool'), 'points_url': Value('string'), 'heatmap': {'url': Value('string'), 'grid_w': Value('int64'), 'grid_h': Value('int64'), 'minX': Value('float64'), 'maxX': Value('float64'), 'minY': Value('float64'), 'maxY': Value('float64')}, 'gmm_prior': Value('null')}
              because column names don't match