Datasets:

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intuitioncore

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proprio_analysis_results

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Intuition 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
pred_norm_dim_0: float
pred_norm_dim_1: float
pred_norm_dim_2: float
pred_norm_dim_3: float
pred_norm_dim_4: float
pred_norm_dim_5: float
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1046
to
{'pred_denorm_dim_0': Value(dtype='float32', id=None), 'pred_denorm_dim_1': Value(dtype='float32', id=None), 'pred_denorm_dim_2': Value(dtype='float32', id=None), 'pred_denorm_dim_3': Value(dtype='float32', id=None), 'pred_denorm_dim_4': Value(dtype='float32', id=None), 'pred_denorm_dim_5': Value(dtype='float32', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              pred_norm_dim_0: float
              pred_norm_dim_1: float
              pred_norm_dim_2: float
              pred_norm_dim_3: float
              pred_norm_dim_4: float
              pred_norm_dim_5: float
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1046
              to
              {'pred_denorm_dim_0': Value(dtype='float32', id=None), 'pred_denorm_dim_1': Value(dtype='float32', id=None), 'pred_denorm_dim_2': Value(dtype='float32', id=None), 'pred_denorm_dim_3': Value(dtype='float32', id=None), 'pred_denorm_dim_4': Value(dtype='float32', id=None), 'pred_denorm_dim_5': Value(dtype='float32', id=None)}
              because column names don't match