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
run_id: string
benchmark: string
set: string
payload_sha256: string
image_sha256: list<item: string>
child 0, item: string
started_utc: string
engine: string
status: string
response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 73 chars omitted)
child 0, model: string
child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 41 chars omitted)
child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 25 chars omitted)
child 0, type: string
child 1, choice: string
child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double>
child 0, A: double
child 1, B: double
child 2, C: double
child 3, D: double
child 4, E: double
child 5, F: double
raw_output: struct<image_pixels: list<item: int64>, prompt_tokens: int64, image_tokens: int64, readout: string, (... 44 chars omitted)
child 0, image_pixels: list<item: int64>
child 0, item: int64
child 1, prompt_tokens: int64
child 2, image_tokens: int64
child 3, readout: string
child 4, letters_missing: int64
child 5, letter_mass: double
payload: struct<state: struct<>, questions: struct<answer: struct<type: string, instructions: string, criteri (... 163 chars omitted)
child 0
...
ing
child 5, F: string
child 2, images: list<item: string>
child 0, item: string
child 3, prompt: struct<options_in_image: bool, readout: string>
child 0, options_in_image: bool
child 1, readout: string
completed_utc: string
total_wall_ms: double
model_request_wall_ms: double
edition: null
letters_readout: string
latency: string
effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: int64, rows_with_image_tokens: int64>
child 0, max_image_pixels: int64
child 1, max_image_tokens: int64
child 2, rows_with_image_tokens: int64
model_source: struct<kind: string, repo: string, served: string, protocol: string, temperature: double, labels: nu (... 320 chars omitted)
child 0, kind: string
child 1, repo: string
child 2, served: string
child 3, protocol: string
child 4, temperature: double
child 5, labels: null
child 6, max_model_len: int64
child 7, requests_in_flight: null
child 8, max_pixels: int64
child 9, image_resize: string
child 10, processor_image_budget: struct<image_processor_type: string, max_soft_tokens: int64, image_seq_length: int64, patch_size: in (... 32 chars omitted)
child 0, image_processor_type: string
child 1, max_soft_tokens: int64
child 2, image_seq_length: int64
child 3, patch_size: int64
child 4, pooling_kernel_size: int64
child 11, mm_processor_kwargs: struct<max_soft_tokens: int64>
child 0, max_soft_tokens: int64
child 12, readout: string
to
{'engine': Value('string'), 'edition': Value('null'), 'model_source': {'kind': Value('string'), 'repo': Value('string'), 'served': Value('string'), 'protocol': Value('string'), 'temperature': Value('float64'), 'labels': Value('null'), 'max_model_len': Value('int64'), 'requests_in_flight': Value('null'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'processor_image_budget': {'image_processor_type': Value('string'), 'max_soft_tokens': Value('int64'), 'image_seq_length': Value('int64'), 'patch_size': Value('int64'), 'pooling_kernel_size': Value('int64')}, 'mm_processor_kwargs': {'max_soft_tokens': Value('int64')}, 'readout': Value('string')}, 'latency': Value('string'), 'started_utc': Value('null'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('int64'), 'rows_with_image_tokens': Value('int64')}, 'letters_readout': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
run_id: string
benchmark: string
set: string
payload_sha256: string
image_sha256: list<item: string>
child 0, item: string
started_utc: string
engine: string
status: string
response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 73 chars omitted)
child 0, model: string
child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 41 chars omitted)
child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 25 chars omitted)
child 0, type: string
child 1, choice: string
child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double>
child 0, A: double
child 1, B: double
child 2, C: double
child 3, D: double
child 4, E: double
child 5, F: double
raw_output: struct<image_pixels: list<item: int64>, prompt_tokens: int64, image_tokens: int64, readout: string, (... 44 chars omitted)
child 0, image_pixels: list<item: int64>
child 0, item: int64
child 1, prompt_tokens: int64
child 2, image_tokens: int64
child 3, readout: string
child 4, letters_missing: int64
child 5, letter_mass: double
payload: struct<state: struct<>, questions: struct<answer: struct<type: string, instructions: string, criteri (... 163 chars omitted)
child 0
...
ing
child 5, F: string
child 2, images: list<item: string>
child 0, item: string
child 3, prompt: struct<options_in_image: bool, readout: string>
child 0, options_in_image: bool
child 1, readout: string
completed_utc: string
total_wall_ms: double
model_request_wall_ms: double
edition: null
letters_readout: string
latency: string
effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: int64, rows_with_image_tokens: int64>
child 0, max_image_pixels: int64
child 1, max_image_tokens: int64
child 2, rows_with_image_tokens: int64
model_source: struct<kind: string, repo: string, served: string, protocol: string, temperature: double, labels: nu (... 320 chars omitted)
child 0, kind: string
child 1, repo: string
child 2, served: string
child 3, protocol: string
child 4, temperature: double
child 5, labels: null
child 6, max_model_len: int64
child 7, requests_in_flight: null
child 8, max_pixels: int64
child 9, image_resize: string
child 10, processor_image_budget: struct<image_processor_type: string, max_soft_tokens: int64, image_seq_length: int64, patch_size: in (... 32 chars omitted)
child 0, image_processor_type: string
child 1, max_soft_tokens: int64
child 2, image_seq_length: int64
child 3, patch_size: int64
child 4, pooling_kernel_size: int64
child 11, mm_processor_kwargs: struct<max_soft_tokens: int64>
child 0, max_soft_tokens: int64
child 12, readout: string
to
{'engine': Value('string'), 'edition': Value('null'), 'model_source': {'kind': Value('string'), 'repo': Value('string'), 'served': Value('string'), 'protocol': Value('string'), 'temperature': Value('float64'), 'labels': Value('null'), 'max_model_len': Value('int64'), 'requests_in_flight': Value('null'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'processor_image_budget': {'image_processor_type': Value('string'), 'max_soft_tokens': Value('int64'), 'image_seq_length': Value('int64'), 'patch_size': Value('int64'), 'pooling_kernel_size': Value('int64')}, 'mm_processor_kwargs': {'max_soft_tokens': Value('int64')}, 'readout': Value('string')}, 'latency': Value('string'), 'started_utc': Value('null'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('int64'), 'rows_with_image_tokens': Value('int64')}, 'letters_readout': 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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