Datasets:

---

harness-race

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harness-race 2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cell: string
repo: string
verifier_error: string
dataset: string
n_images: int64
labels_mapped: int64
unmapped_predictions: int64
map_50: double
per_class: struct<Photograph: double, Illustration: double, Map: double, Comics/Cartoon: double, Editorial Cart (... 53 chars omitted)
  child 0, Photograph: double
  child 1, Illustration: double
  child 2, Map: double
  child 3, Comics/Cartoon: double
  child 4, Editorial Cartoon: double
  child 5, Headline: double
  child 6, Advertisement: double
verifier: string
map: double
map_75: double
model_labels: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string>
  child 0, 0: string
  child 1, 1: string
  child 2, 2: string
  child 3, 3: string
  child 4, 4: string
  child 5, 5: string
  child 6, 6: string
to
{'cell': Value('string'), 'repo': Value('string'), 'dataset': Value('string'), 'n_images': Value('int64'), 'map': Value('float64'), 'map_50': Value('float64'), 'map_75': Value('float64'), 'per_class': {'Photograph': Value('float64'), 'Illustration': Value('float64'), 'Map': Value('float64'), 'Comics/Cartoon': Value('float64'), 'Editorial Cartoon': Value('float64'), 'Headline': Value('float64'), 'Advertisement': Value('float64')}, 'model_labels': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string'), '5': Value('string'), '6': Value('string')}, 'labels_mapped': Value('int64'), 'unmapped_predictions': Value('int64'), 'verifier': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              cell: string
              repo: string
              verifier_error: string
              dataset: string
              n_images: int64
              labels_mapped: int64
              unmapped_predictions: int64
              map_50: double
              per_class: struct<Photograph: double, Illustration: double, Map: double, Comics/Cartoon: double, Editorial Cart (... 53 chars omitted)
                child 0, Photograph: double
                child 1, Illustration: double
                child 2, Map: double
                child 3, Comics/Cartoon: double
                child 4, Editorial Cartoon: double
                child 5, Headline: double
                child 6, Advertisement: double
              verifier: string
              map: double
              map_75: double
              model_labels: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string>
                child 0, 0: string
                child 1, 1: string
                child 2, 2: string
                child 3, 3: string
                child 4, 4: string
                child 5, 5: string
                child 6, 6: string
              to
              {'cell': Value('string'), 'repo': Value('string'), 'dataset': Value('string'), 'n_images': Value('int64'), 'map': Value('float64'), 'map_50': Value('float64'), 'map_75': Value('float64'), 'per_class': {'Photograph': Value('float64'), 'Illustration': Value('float64'), 'Map': Value('float64'), 'Comics/Cartoon': Value('float64'), 'Editorial Cartoon': Value('float64'), 'Headline': Value('float64'), 'Advertisement': Value('float64')}, 'model_labels': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string'), '5': Value('string'), '6': Value('string')}, 'labels_mapped': Value('int64'), 'unmapped_predictions': Value('int64'), 'verifier': Value('string')}
              because column names don't match