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
task_id: string
original_id: string
description: string
context: string
incomplete_code: string
secret_metadata: struct<secret_type: string, obfuscated_value: string, original_category: string, predefined_pattern: (... 44 chars omitted)
child 0, secret_type: string
child 1, obfuscated_value: string
child 2, original_category: string
child 3, predefined_pattern: string
child 4, line_start: int64
child 5, line_end: int64
source: struct<repo_name: string, file_path: string, file_id: string>
child 0, repo_name: string
child 1, file_path: string
child 2, file_id: string
difficulty: string
tags: list<item: string>
child 0, item: string
created_at: string
entry_point: string
mocks_required: list<item: struct<library: string, mock_type: string, config: struct<default_status: int64>>>
child 0, item: struct<library: string, mock_type: string, config: struct<default_status: int64>>
child 0, library: string
child 1, mock_type: string
child 2, config: struct<default_status: int64>
child 0, default_status: int64
validation: struct<expected_calls: list<item: struct<method: string, url_contains: string, check: string>>>
child 0, expected_calls: list<item: struct<method: string, url_contains: string, check: string>>
child 0, item: struct<method: string, url_contains: string, check: string>
child 0, method: string
child 1, url_contains: string
child 2, check: string
_generation_meta: struct<model: string, mock_strategy: string, detected_libraries: list<item: string>, reasoning: stri (... 86 chars omitted)
child 0, model: string
child 1, mock_strategy: string
child 2, detected_libraries: list<item: string>
child 0, item: string
child 3, reasoning: string
child 4, repo_url: string
child 5, generated_at: string
child 6, version: string
child 7, source_file_name: string
generated_at: string
tasks: list<item: struct<task_id: string, original_id: string, secret_type: string, mock_strategy: string, (... 18 chars omitted)
child 0, item: struct<task_id: string, original_id: string, secret_type: string, mock_strategy: string, repo_url: s (... 6 chars omitted)
child 0, task_id: string
child 1, original_id: string
child 2, secret_type: string
child 3, mock_strategy: string
child 4, repo_url: string
model: string
name: string
num_tasks: int64
to
{'name': Value('string'), 'description': Value('string'), 'num_tasks': Value('int64'), 'model': Value('string'), 'generated_at': Value('string'), 'tasks': List({'task_id': Value('string'), 'original_id': Value('string'), 'secret_type': Value('string'), 'mock_strategy': Value('string'), 'repo_url': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
task_id: string
original_id: string
description: string
context: string
incomplete_code: string
secret_metadata: struct<secret_type: string, obfuscated_value: string, original_category: string, predefined_pattern: (... 44 chars omitted)
child 0, secret_type: string
child 1, obfuscated_value: string
child 2, original_category: string
child 3, predefined_pattern: string
child 4, line_start: int64
child 5, line_end: int64
source: struct<repo_name: string, file_path: string, file_id: string>
child 0, repo_name: string
child 1, file_path: string
child 2, file_id: string
difficulty: string
tags: list<item: string>
child 0, item: string
created_at: string
entry_point: string
mocks_required: list<item: struct<library: string, mock_type: string, config: struct<default_status: int64>>>
child 0, item: struct<library: string, mock_type: string, config: struct<default_status: int64>>
child 0, library: string
child 1, mock_type: string
child 2, config: struct<default_status: int64>
child 0, default_status: int64
validation: struct<expected_calls: list<item: struct<method: string, url_contains: string, check: string>>>
child 0, expected_calls: list<item: struct<method: string, url_contains: string, check: string>>
child 0, item: struct<method: string, url_contains: string, check: string>
child 0, method: string
child 1, url_contains: string
child 2, check: string
_generation_meta: struct<model: string, mock_strategy: string, detected_libraries: list<item: string>, reasoning: stri (... 86 chars omitted)
child 0, model: string
child 1, mock_strategy: string
child 2, detected_libraries: list<item: string>
child 0, item: string
child 3, reasoning: string
child 4, repo_url: string
child 5, generated_at: string
child 6, version: string
child 7, source_file_name: string
generated_at: string
tasks: list<item: struct<task_id: string, original_id: string, secret_type: string, mock_strategy: string, (... 18 chars omitted)
child 0, item: struct<task_id: string, original_id: string, secret_type: string, mock_strategy: string, repo_url: s (... 6 chars omitted)
child 0, task_id: string
child 1, original_id: string
child 2, secret_type: string
child 3, mock_strategy: string
child 4, repo_url: string
model: string
name: string
num_tasks: int64
to
{'name': Value('string'), 'description': Value('string'), 'num_tasks': Value('int64'), 'model': Value('string'), 'generated_at': Value('string'), 'tasks': List({'task_id': Value('string'), 'original_id': Value('string'), 'secret_type': Value('string'), 'mock_strategy': Value('string'), 'repo_url': 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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