Datasets:

---

kingsidharth

/

zangei-dit-stage-1-250k-tokenizer-iris-harbor

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source_row_index: int64
sample_id: large_string
orig_width: int64
orig_height: int64
shard_id: int64
offset: int64
model_id: large_string
transform: large_string
kind: large_string
tensor_key: large_string
tensor_shape_per_row: large_string
dtype: large_string
safetensors_path: large_string
image_size: int64
patch_size: int64
grid_h: int64
grid_w: int64
num_register_tokens: int64
hidden_size: int64
src_shard_id: int64
src_safetensors_path: large_string
src_index_path: large_string
repack_shard_id: int64
transform_short: large_string
kind_short: large_string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 3066
to
{'transform': Value('large_string'), 'kind': Value('large_string'), 'repack_shard_id': Value('int64'), 'rows': Value('int64'), 'shape': Value('large_string'), 'dtype': Value('large_string'), 'tensor_key': Value('large_string'), 'safetensors_path': Value('large_string'), 'index_path': Value('large_string'), 'source_shard_first': Value('int64'), 'source_shard_last': Value('int64'), 'source_shards': Value('int64'), 'bytes': Value('int64')}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              source_row_index: int64
              sample_id: large_string
              orig_width: int64
              orig_height: int64
              shard_id: int64
              offset: int64
              model_id: large_string
              transform: large_string
              kind: large_string
              tensor_key: large_string
              tensor_shape_per_row: large_string
              dtype: large_string
              safetensors_path: large_string
              image_size: int64
              patch_size: int64
              grid_h: int64
              grid_w: int64
              num_register_tokens: int64
              hidden_size: int64
              src_shard_id: int64
              src_safetensors_path: large_string
              src_index_path: large_string
              repack_shard_id: int64
              transform_short: large_string
              kind_short: large_string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 3066
              to
              {'transform': Value('large_string'), 'kind': Value('large_string'), 'repack_shard_id': Value('int64'), 'rows': Value('int64'), 'shape': Value('large_string'), 'dtype': Value('large_string'), 'tensor_key': Value('large_string'), 'safetensors_path': Value('large_string'), 'index_path': Value('large_string'), 'source_shard_first': Value('int64'), 'source_shard_last': Value('int64'), 'source_shards': Value('int64'), 'bytes': Value('int64')}
              because column names don't match