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
base_url: string
checked_at: string
complete: bool
failure_count: int64
failure_samples: list<item: struct<attempts: int64, error: string, http_status: int64, id: string, latency_ms: int64, (... 11 chars omitted)
child 0, item: struct<attempts: int64, error: string, http_status: int64, id: string, latency_ms: int64, ok: bool>
child 0, attempts: int64
child 1, error: string
child 2, http_status: int64
child 3, id: string
child 4, latency_ms: int64
child 5, ok: bool
failure_summary: list<item: struct<count: int64, error: string>>
child 0, item: struct<count: int64, error: string>
child 0, count: int64
child 1, error: string
max_tokens: int64
models: list<item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>>
child 0, item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>
child 0, attempts: int64
child 1, http_status: int64
child 2, id: string
child 3, latency_ms: int64
prompt: string
target_models: int64
tested_models: int64
total_models: int64
usable_count: int64
usable_model_ids: list<item: string>
child 0, item: string
version: int64
image_failure_summary: list<item: struct<count: int64, error: string>>
child 0, item: struct<count: int64, error: string>
child 0, count: int64
child 1, error: string
image_failure_count: int64
image_failure_class_summary: list<item: struct<count: int64, error_class: string>>
child 0, item: struct<c
...
els: list<item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: strin (... 32 chars omitted)
child 0, item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: string, latency_ (... 20 chars omitted)
child 0, attempts: int64
child 1, error: string
child 2, error_class: string
child 3, http_status: int64
child 4, id: string
child 5, latency_ms: int64
child 6, ok: bool
image_prompt: string
image_total_models: int64
image_usable_model_ids: list<item: string>
child 0, item: string
image_base_url: string
image_failure_samples: list<item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: strin (... 32 chars omitted)
child 0, item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: string, latency_ (... 20 chars omitted)
child 0, attempts: int64
child 1, error: string
child 2, error_class: string
child 3, http_status: int64
child 4, id: string
child 5, latency_ms: int64
child 6, ok: bool
image_models: list<item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>>
child 0, item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>
child 0, attempts: int64
child 1, http_status: int64
child 2, id: string
child 3, latency_ms: int64
image_size: null
image_complete: bool
image_target_models: int64
to
{'image_base_url': Value('string'), 'image_carried_usable_count': Value('int64'), 'image_checked_at': Value('string'), 'image_complete': Value('bool'), 'image_current_usable_count': Value('int64'), 'image_failure_class_summary': List({'count': Value('int64'), 'error_class': Value('string')}), 'image_failure_count': Value('int64'), 'image_failure_models': List({'attempts': Value('int64'), 'error': Value('string'), 'error_class': Value('string'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64'), 'ok': Value('bool')}), 'image_failure_samples': List({'attempts': Value('int64'), 'error': Value('string'), 'error_class': Value('string'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64'), 'ok': Value('bool')}), 'image_failure_summary': List({'count': Value('int64'), 'error': Value('string')}), 'image_models': List({'attempts': Value('int64'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64')}), 'image_prompt': Value('string'), 'image_size': Value('null'), 'image_target_models': Value('int64'), 'image_tested_models': Value('int64'), 'image_total_models': Value('int64'), 'image_usable_count': Value('int64'), 'image_usable_model_ids': List(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 478, 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
base_url: string
checked_at: string
complete: bool
failure_count: int64
failure_samples: list<item: struct<attempts: int64, error: string, http_status: int64, id: string, latency_ms: int64, (... 11 chars omitted)
child 0, item: struct<attempts: int64, error: string, http_status: int64, id: string, latency_ms: int64, ok: bool>
child 0, attempts: int64
child 1, error: string
child 2, http_status: int64
child 3, id: string
child 4, latency_ms: int64
child 5, ok: bool
failure_summary: list<item: struct<count: int64, error: string>>
child 0, item: struct<count: int64, error: string>
child 0, count: int64
child 1, error: string
max_tokens: int64
models: list<item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>>
child 0, item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>
child 0, attempts: int64
child 1, http_status: int64
child 2, id: string
child 3, latency_ms: int64
prompt: string
target_models: int64
tested_models: int64
total_models: int64
usable_count: int64
usable_model_ids: list<item: string>
child 0, item: string
version: int64
image_failure_summary: list<item: struct<count: int64, error: string>>
child 0, item: struct<count: int64, error: string>
child 0, count: int64
child 1, error: string
image_failure_count: int64
image_failure_class_summary: list<item: struct<count: int64, error_class: string>>
child 0, item: struct<c
...
els: list<item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: strin (... 32 chars omitted)
child 0, item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: string, latency_ (... 20 chars omitted)
child 0, attempts: int64
child 1, error: string
child 2, error_class: string
child 3, http_status: int64
child 4, id: string
child 5, latency_ms: int64
child 6, ok: bool
image_prompt: string
image_total_models: int64
image_usable_model_ids: list<item: string>
child 0, item: string
image_base_url: string
image_failure_samples: list<item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: strin (... 32 chars omitted)
child 0, item: struct<attempts: int64, error: string, error_class: string, http_status: int64, id: string, latency_ (... 20 chars omitted)
child 0, attempts: int64
child 1, error: string
child 2, error_class: string
child 3, http_status: int64
child 4, id: string
child 5, latency_ms: int64
child 6, ok: bool
image_models: list<item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>>
child 0, item: struct<attempts: int64, http_status: int64, id: string, latency_ms: int64>
child 0, attempts: int64
child 1, http_status: int64
child 2, id: string
child 3, latency_ms: int64
image_size: null
image_complete: bool
image_target_models: int64
to
{'image_base_url': Value('string'), 'image_carried_usable_count': Value('int64'), 'image_checked_at': Value('string'), 'image_complete': Value('bool'), 'image_current_usable_count': Value('int64'), 'image_failure_class_summary': List({'count': Value('int64'), 'error_class': Value('string')}), 'image_failure_count': Value('int64'), 'image_failure_models': List({'attempts': Value('int64'), 'error': Value('string'), 'error_class': Value('string'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64'), 'ok': Value('bool')}), 'image_failure_samples': List({'attempts': Value('int64'), 'error': Value('string'), 'error_class': Value('string'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64'), 'ok': Value('bool')}), 'image_failure_summary': List({'count': Value('int64'), 'error': Value('string')}), 'image_models': List({'attempts': Value('int64'), 'http_status': Value('int64'), 'id': Value('string'), 'latency_ms': Value('int64')}), 'image_prompt': Value('string'), 'image_size': Value('null'), 'image_target_models': Value('int64'), 'image_tested_models': Value('int64'), 'image_total_models': Value('int64'), 'image_usable_count': Value('int64'), 'image_usable_model_ids': List(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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