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
item_id: string
prompt: string
response: null
model: string
dataset: string
status: string
error: struct<type: string, message: string, http_status: int64>
child 0, type: string
child 1, message: string
child 2, http_status: int64
finish_reason: null
usage: struct<input_tokens: null, output_tokens: null>
child 0, input_tokens: null
child 1, output_tokens: null
latency_ms: int64
timestamp: timestamp[s]
attempt: int64
dataset_metadata: struct<target: string>
child 0, target: string
built_at: string
store_uri: string
datasets: struct<harmbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerpr (... 872 chars omitted)
child 0, harmbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 1, advbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 2, donotanswer: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: str
...
ing
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 4, sorrybench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 5, orbench_hard: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 6, ahb: struct<judge: null, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: s (... 6 chars omitted)
child 0, judge: null
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 7, health_orsc: struct<judge: null, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: s (... 6 chars omitted)
child 0, judge: null
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
orientation: string
to
{'store_uri': Value('string'), 'built_at': Value('string'), 'orientation': Value('string'), 'datasets': {'harmbench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'advbench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'donotanswer': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'truthfulqa': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'sorrybench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'orbench_hard': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'ahb': {'judge': Value('null'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'health_orsc': {'judge': Value('null'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': 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
item_id: string
prompt: string
response: null
model: string
dataset: string
status: string
error: struct<type: string, message: string, http_status: int64>
child 0, type: string
child 1, message: string
child 2, http_status: int64
finish_reason: null
usage: struct<input_tokens: null, output_tokens: null>
child 0, input_tokens: null
child 1, output_tokens: null
latency_ms: int64
timestamp: timestamp[s]
attempt: int64
dataset_metadata: struct<target: string>
child 0, target: string
built_at: string
store_uri: string
datasets: struct<harmbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerpr (... 872 chars omitted)
child 0, harmbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 1, advbench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 2, donotanswer: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: str
...
ing
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 4, sorrybench: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 5, orbench_hard: struct<judge: string, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: (... 8 chars omitted)
child 0, judge: string
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 6, ahb: struct<judge: null, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: s (... 6 chars omitted)
child 0, judge: null
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
child 7, health_orsc: struct<judge: null, flip: bool, n_models: int64, n_items: int64, source_fingerprint: string, path: s (... 6 chars omitted)
child 0, judge: null
child 1, flip: bool
child 2, n_models: int64
child 3, n_items: int64
child 4, source_fingerprint: string
child 5, path: string
orientation: string
to
{'store_uri': Value('string'), 'built_at': Value('string'), 'orientation': Value('string'), 'datasets': {'harmbench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'advbench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'donotanswer': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'truthfulqa': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'sorrybench': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'orbench_hard': {'judge': Value('string'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'ahb': {'judge': Value('null'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': Value('string')}, 'health_orsc': {'judge': Value('null'), 'flip': Value('bool'), 'n_models': Value('int64'), 'n_items': Value('int64'), 'source_fingerprint': Value('string'), 'path': 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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