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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<batch_size: int64, epochs: int64, patience: int64, lr: double, seed: int64, val_frac: double, max_steps_per_epoch: int64, max_val_batches: int64, no_cycle: bool, checkpoint_dir: string, protrek_pkl: string, depmap_pkl: string, shrna_pkl: string, pert_types: list<item: string>, train_row_indices_json: string, train_row_indices_key: string, kg_path: string, conv_type: string, n_layers_gnn: int64, n_layers_nn: int64, n_heads: int64, latent_response: bool, latent_dim: int64, latent_kl_weight: double>
to
{'batch_size': Value('int64'), 'epochs': Value('int64'), 'patience': Value('int64'), 'lr': Value('float64'), 'seed': Value('int64'), 'no_cycle': Value('bool'), 'checkpoint_dir': Value('string'), 'protrek_pkl': Value('string'), 'depmap_pkl': Value('string'), 'shrna_pkl': Value('string'), 'kg_path': Value('string')}
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/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, 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 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<batch_size: int64, epochs: int64, patience: int64, lr: double, seed: int64, val_frac: double, max_steps_per_epoch: int64, max_val_batches: int64, no_cycle: bool, checkpoint_dir: string, protrek_pkl: string, depmap_pkl: string, shrna_pkl: string, pert_types: list<item: string>, train_row_indices_json: string, train_row_indices_key: string, kg_path: string, conv_type: string, n_layers_gnn: int64, n_layers_nn: int64, n_heads: int64, latent_response: bool, latent_dim: int64, latent_kl_weight: double>
to
{'batch_size': Value('int64'), 'epochs': Value('int64'), 'patience': Value('int64'), 'lr': Value('float64'), 'seed': Value('int64'), 'no_cycle': Value('bool'), 'checkpoint_dir': Value('string'), 'protrek_pkl': Value('string'), 'depmap_pkl': Value('string'), 'shrna_pkl': Value('string'), 'kg_path': Value('string')}Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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