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
model: string
factor_loss: string
modules: list<item: string>
child 0, item: string
n_modules: int64
exclude_modules: string
include_modules: null
n_params: int64
positions_per_module: struct<encoder.block.0.layer.0.SelfAttention.q: int64, encoder.block.0.layer.0.SelfAttention.k: int6 (... 7042 chars omitted)
child 0, encoder.block.0.layer.0.SelfAttention.q: int64
child 1, encoder.block.0.layer.0.SelfAttention.k: int64
child 2, encoder.block.0.layer.0.SelfAttention.v: int64
child 3, encoder.block.0.layer.0.SelfAttention.o: int64
child 4, encoder.block.0.layer.1.DenseReluDense.wi_0: int64
child 5, encoder.block.0.layer.1.DenseReluDense.wi_1: int64
child 6, encoder.block.0.layer.1.DenseReluDense.wo: int64
child 7, encoder.block.1.layer.0.SelfAttention.q: int64
child 8, encoder.block.1.layer.0.SelfAttention.k: int64
child 9, encoder.block.1.layer.0.SelfAttention.v: int64
child 10, encoder.block.1.layer.0.SelfAttention.o: int64
child 11, encoder.block.1.layer.1.DenseReluDense.wi_0: int64
child 12, encoder.block.1.layer.1.DenseReluDense.wi_1: int64
child 13, encoder.block.1.layer.1.DenseReluDense.wo: int64
child 14, encoder.block.2.layer.0.SelfAttention.q: int64
child 15, encoder.block.2.layer.0.SelfAttention.k: int64
child 16, encoder.block.2.layer.0.SelfAttention.v: int64
child 17, encoder.block.2.layer.0.SelfAttention.o: int64
child 18, encoder.block.2.layer.1.DenseReluDense.wi_0: int64
child 19, encoder.block.2.layer.1.DenseReluDense.w
...
on.q: double
child 123, decoder.block.6.layer.0.SelfAttention.k: double
child 124, decoder.block.6.layer.0.SelfAttention.v: double
child 125, decoder.block.6.layer.0.SelfAttention.o: double
child 126, decoder.block.6.layer.1.EncDecAttention.q: double
child 127, decoder.block.6.layer.1.EncDecAttention.k: double
child 128, decoder.block.6.layer.1.EncDecAttention.v: double
child 129, decoder.block.6.layer.1.EncDecAttention.o: double
child 130, decoder.block.6.layer.2.DenseReluDense.wi_0: double
child 131, decoder.block.6.layer.2.DenseReluDense.wi_1: double
child 132, decoder.block.6.layer.2.DenseReluDense.wo: double
child 133, decoder.block.7.layer.0.SelfAttention.q: double
child 134, decoder.block.7.layer.0.SelfAttention.k: double
child 135, decoder.block.7.layer.0.SelfAttention.v: double
child 136, decoder.block.7.layer.0.SelfAttention.o: double
child 137, decoder.block.7.layer.1.EncDecAttention.q: double
child 138, decoder.block.7.layer.1.EncDecAttention.k: double
child 139, decoder.block.7.layer.1.EncDecAttention.v: double
child 140, decoder.block.7.layer.1.EncDecAttention.o: double
child 141, decoder.block.7.layer.2.DenseReluDense.wi_0: double
child 142, decoder.block.7.layer.2.DenseReluDense.wi_1: double
child 143, decoder.block.7.layer.2.DenseReluDense.wo: double
lambda_mean_range: list<item: double>
child 0, item: double
files: list<item: string>
child 0, item: string
job: string
host: string
finished_at: string
sweep: string
to
{'job': Value('string'), 'files': List(Value('string')), 'host': Value('string'), 'finished_at': Value('string'), 'sweep': 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 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
model: string
factor_loss: string
modules: list<item: string>
child 0, item: string
n_modules: int64
exclude_modules: string
include_modules: null
n_params: int64
positions_per_module: struct<encoder.block.0.layer.0.SelfAttention.q: int64, encoder.block.0.layer.0.SelfAttention.k: int6 (... 7042 chars omitted)
child 0, encoder.block.0.layer.0.SelfAttention.q: int64
child 1, encoder.block.0.layer.0.SelfAttention.k: int64
child 2, encoder.block.0.layer.0.SelfAttention.v: int64
child 3, encoder.block.0.layer.0.SelfAttention.o: int64
child 4, encoder.block.0.layer.1.DenseReluDense.wi_0: int64
child 5, encoder.block.0.layer.1.DenseReluDense.wi_1: int64
child 6, encoder.block.0.layer.1.DenseReluDense.wo: int64
child 7, encoder.block.1.layer.0.SelfAttention.q: int64
child 8, encoder.block.1.layer.0.SelfAttention.k: int64
child 9, encoder.block.1.layer.0.SelfAttention.v: int64
child 10, encoder.block.1.layer.0.SelfAttention.o: int64
child 11, encoder.block.1.layer.1.DenseReluDense.wi_0: int64
child 12, encoder.block.1.layer.1.DenseReluDense.wi_1: int64
child 13, encoder.block.1.layer.1.DenseReluDense.wo: int64
child 14, encoder.block.2.layer.0.SelfAttention.q: int64
child 15, encoder.block.2.layer.0.SelfAttention.k: int64
child 16, encoder.block.2.layer.0.SelfAttention.v: int64
child 17, encoder.block.2.layer.0.SelfAttention.o: int64
child 18, encoder.block.2.layer.1.DenseReluDense.wi_0: int64
child 19, encoder.block.2.layer.1.DenseReluDense.w
...
on.q: double
child 123, decoder.block.6.layer.0.SelfAttention.k: double
child 124, decoder.block.6.layer.0.SelfAttention.v: double
child 125, decoder.block.6.layer.0.SelfAttention.o: double
child 126, decoder.block.6.layer.1.EncDecAttention.q: double
child 127, decoder.block.6.layer.1.EncDecAttention.k: double
child 128, decoder.block.6.layer.1.EncDecAttention.v: double
child 129, decoder.block.6.layer.1.EncDecAttention.o: double
child 130, decoder.block.6.layer.2.DenseReluDense.wi_0: double
child 131, decoder.block.6.layer.2.DenseReluDense.wi_1: double
child 132, decoder.block.6.layer.2.DenseReluDense.wo: double
child 133, decoder.block.7.layer.0.SelfAttention.q: double
child 134, decoder.block.7.layer.0.SelfAttention.k: double
child 135, decoder.block.7.layer.0.SelfAttention.v: double
child 136, decoder.block.7.layer.0.SelfAttention.o: double
child 137, decoder.block.7.layer.1.EncDecAttention.q: double
child 138, decoder.block.7.layer.1.EncDecAttention.k: double
child 139, decoder.block.7.layer.1.EncDecAttention.v: double
child 140, decoder.block.7.layer.1.EncDecAttention.o: double
child 141, decoder.block.7.layer.2.DenseReluDense.wi_0: double
child 142, decoder.block.7.layer.2.DenseReluDense.wi_1: double
child 143, decoder.block.7.layer.2.DenseReluDense.wo: double
lambda_mean_range: list<item: double>
child 0, item: double
files: list<item: string>
child 0, item: string
job: string
host: string
finished_at: string
sweep: string
to
{'job': Value('string'), 'files': List(Value('string')), 'host': Value('string'), 'finished_at': Value('string'), 'sweep': 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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