Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
allocation_lock: null
counterpart_content_sha256: string
dry_run: bool
full_vocabulary_logits: bool
model_execution_dtype: string
model_revision: string
output: string
phase: string
phase_panel: string
phase_panel_file_sha256: string
phase_panel_projection_sha256: string
prediction_positions_per_window: int64
roles: list<item: string>
child 0, item: string
schema: string
sequence_length: int64
source_config_sha256: string
source_corpus_sha256: string
source_index_sha256: string
source_inventory: struct<file_sha256: string, inventory_seal_format: string, inventory_sha256: string, path: string, t (... 19 chars omitted)
child 0, file_sha256: string
child 1, inventory_seal_format: string
child 2, inventory_sha256: string
child 3, path: string
child 4, tensor_count: int64
source_model: string
source_panel_seal_sha256: string
stored_logit_dtype: string
tensor_parallel_size: int64
transformers_revision: string
transformers_root: string
vocab_size: int64
window_count: int64
receipt_sha256: string
records: list<item: struct<bytes: int64, document_id: string, dtype: string, file: string, offset: int64, ran (... 208 chars omitted)
child 0, item: struct<bytes: int64, document_id: string, dtype: string, file: string, offset: int64, rank_hbm: list (... 196 chars omitted)
child 0, bytes: int64
child 1, document_id: string
child 2, dtype: string
child 3, file: string
child 4, offset: int64
child 5, rank_hbm: list<item: struct<max_memory_allocated_bytes: int64, max_memory_reserved_bytes: int64, rank: int64>>
child 0, item: struct<max_memory_allocated_bytes: int64, max_memory_reserved_bytes: int64, rank: int64>
child 0, max_memory_allocated_bytes: int64
child 1, max_memory_reserved_bytes: int64
child 2, rank: int64
child 6, role: string
child 7, sha256: string
child 8, shape: list<item: int64>
child 0, item: int64
child 9, token_sha256: string
child 10, window_index: int64
causal_mask: struct<bytes: int64, path: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, sha256: string
to
{'allocation_lock': Value('null'), 'causal_mask': {'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}, 'counterpart_content_sha256': Value('string'), 'full_vocabulary_logits': Value('bool'), 'model_execution_dtype': Value('string'), 'model_revision': Value('string'), 'phase': Value('string'), 'phase_panel_file_sha256': Value('string'), 'phase_panel_projection_sha256': Value('string'), 'receipt_sha256': Value('string'), 'records': List({'bytes': Value('int64'), 'document_id': Value('string'), 'dtype': Value('string'), 'file': Value('string'), 'offset': Value('int64'), 'rank_hbm': List({'max_memory_allocated_bytes': Value('int64'), 'max_memory_reserved_bytes': Value('int64'), 'rank': Value('int64')}), 'role': Value('string'), 'sha256': Value('string'), 'shape': List(Value('int64')), 'token_sha256': Value('string'), 'window_index': Value('int64')}), 'schema': Value('string'), 'source_config_sha256': Value('string'), 'source_corpus_sha256': Value('string'), 'source_index_sha256': Value('string'), 'source_inventory': {'file_sha256': Value('string'), 'inventory_seal_format': Value('string'), 'inventory_sha256': Value('string'), 'path': Value('string'), 'tensor_count': Value('int64')}, 'source_panel_seal_sha256': Value('string'), 'stored_logit_dtype': Value('string'), 'tensor_parallel_size': Value('int64'), 'transformers_revision': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
allocation_lock: null
counterpart_content_sha256: string
dry_run: bool
full_vocabulary_logits: bool
model_execution_dtype: string
model_revision: string
output: string
phase: string
phase_panel: string
phase_panel_file_sha256: string
phase_panel_projection_sha256: string
prediction_positions_per_window: int64
roles: list<item: string>
child 0, item: string
schema: string
sequence_length: int64
source_config_sha256: string
source_corpus_sha256: string
source_index_sha256: string
source_inventory: struct<file_sha256: string, inventory_seal_format: string, inventory_sha256: string, path: string, t (... 19 chars omitted)
child 0, file_sha256: string
child 1, inventory_seal_format: string
child 2, inventory_sha256: string
child 3, path: string
child 4, tensor_count: int64
source_model: string
source_panel_seal_sha256: string
stored_logit_dtype: string
tensor_parallel_size: int64
transformers_revision: string
transformers_root: string
vocab_size: int64
window_count: int64
receipt_sha256: string
records: list<item: struct<bytes: int64, document_id: string, dtype: string, file: string, offset: int64, ran (... 208 chars omitted)
child 0, item: struct<bytes: int64, document_id: string, dtype: string, file: string, offset: int64, rank_hbm: list (... 196 chars omitted)
child 0, bytes: int64
child 1, document_id: string
child 2, dtype: string
child 3, file: string
child 4, offset: int64
child 5, rank_hbm: list<item: struct<max_memory_allocated_bytes: int64, max_memory_reserved_bytes: int64, rank: int64>>
child 0, item: struct<max_memory_allocated_bytes: int64, max_memory_reserved_bytes: int64, rank: int64>
child 0, max_memory_allocated_bytes: int64
child 1, max_memory_reserved_bytes: int64
child 2, rank: int64
child 6, role: string
child 7, sha256: string
child 8, shape: list<item: int64>
child 0, item: int64
child 9, token_sha256: string
child 10, window_index: int64
causal_mask: struct<bytes: int64, path: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, sha256: string
to
{'allocation_lock': Value('null'), 'causal_mask': {'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}, 'counterpart_content_sha256': Value('string'), 'full_vocabulary_logits': Value('bool'), 'model_execution_dtype': Value('string'), 'model_revision': Value('string'), 'phase': Value('string'), 'phase_panel_file_sha256': Value('string'), 'phase_panel_projection_sha256': Value('string'), 'receipt_sha256': Value('string'), 'records': List({'bytes': Value('int64'), 'document_id': Value('string'), 'dtype': Value('string'), 'file': Value('string'), 'offset': Value('int64'), 'rank_hbm': List({'max_memory_allocated_bytes': Value('int64'), 'max_memory_reserved_bytes': Value('int64'), 'rank': Value('int64')}), 'role': Value('string'), 'sha256': Value('string'), 'shape': List(Value('int64')), 'token_sha256': Value('string'), 'window_index': Value('int64')}), 'schema': Value('string'), 'source_config_sha256': Value('string'), 'source_corpus_sha256': Value('string'), 'source_index_sha256': Value('string'), 'source_inventory': {'file_sha256': Value('string'), 'inventory_seal_format': Value('string'), 'inventory_sha256': Value('string'), 'path': Value('string'), 'tensor_count': Value('int64')}, 'source_panel_seal_sha256': Value('string'), 'stored_logit_dtype': Value('string'), 'tensor_parallel_size': Value('int64'), 'transformers_revision': Value('string')}
because column names don't matchNeed 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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