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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
passed: bool
best_accuracy: double
threshold: double
steps: int64
curve: list<item: struct<step: int64, kv_accuracy: double, bits_per_byte: double, minutes: double>>
child 0, item: struct<step: int64, kv_accuracy: double, bits_per_byte: double, minutes: double>
child 0, step: int64
child 1, kv_accuracy: double
child 2, bits_per_byte: double
child 3, minutes: double
note: string
s/dyn_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
l/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/all_linear: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/bkf_conv4: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_pe
...
k_memory_gb: double
l/dyn_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
m/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/all_attention: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/global_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
to
{'l/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'l/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/bkf_conv4': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/all_attention': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/all_linear': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/bkf_conv4': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/global_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}}
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
passed: bool
best_accuracy: double
threshold: double
steps: int64
curve: list<item: struct<step: int64, kv_accuracy: double, bits_per_byte: double, minutes: double>>
child 0, item: struct<step: int64, kv_accuracy: double, bits_per_byte: double, minutes: double>
child 0, step: int64
child 1, kv_accuracy: double
child 2, bits_per_byte: double
child 3, minutes: double
note: string
s/dyn_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
l/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/all_linear: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/bkf_conv4: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_pe
...
k_memory_gb: double
l/dyn_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
m/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/all_attention: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/global_first: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
s/global_last: struct<size: string, design: string, seconds_per_step: double, tokens_per_second: double, peak_memor (... 13 chars omitted)
child 0, size: string
child 1, design: string
child 2, seconds_per_step: double
child 3, tokens_per_second: double
child 4, peak_memory_gb: double
to
{'l/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'l/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/bkf_conv4': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 'm/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/all_attention': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/all_linear': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/bkf_conv4': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/dyn_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/global_first': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}, 's/global_last': {'size': Value('string'), 'design': Value('string'), 'seconds_per_step': Value('float64'), 'tokens_per_second': Value('float64'), 'peak_memory_gb': Value('float64')}}
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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