Datasets:

---

nishanthc

/

dnd_map_dataset_v0

Like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Unnamed: 0: int64
picture_url: string
picture_text: string
data_source: string
licence: string
image: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
__index_level_0__: int64
-- schema metadata --
huggingface: '{"info": {"features": {"Unnamed: 0": {"dtype": "int64", "_t' + 318
to
{'picture_url': Value(dtype='string', id=None), 'picture_text': Value(dtype='string', id=None), 'data_source': Value(dtype='string', id=None), 'licence': Value(dtype='string', id=None), 'image': Image(mode=None, decode=True, id=None), '__index_level_0__': Value(dtype='int64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
                  rows_index = indexer.get_rows_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index
                  return RowsIndex(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__
                  self.parquet_index = self._init_parquet_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index
                  response = get_previous_step_or_raise(
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 73, 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 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, 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 75, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              picture_url: string
              picture_text: string
              data_source: string
              licence: string
              image: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              __index_level_0__: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"Unnamed: 0": {"dtype": "int64", "_t' + 318
              to
              {'picture_url': Value(dtype='string', id=None), 'picture_text': Value(dtype='string', id=None), 'data_source': Value(dtype='string', id=None), 'licence': Value(dtype='string', id=None), 'image': Image(mode=None, decode=True, id=None), '__index_level_0__': Value(dtype='int64', id=None)}
              because column names don't match