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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
checkpoint: string
step: int64
tokens_seen: int64
full_test: bool
n_test_docs: int64
jade_test: struct<nll: double, ppl: double, bpb: double, n_tokens: int64, aux_loss: double, expert_load_ratio: (... 78 chars omitted)
child 0, nll: double
child 1, ppl: double
child 2, bpb: double
child 3, n_tokens: int64
child 4, aux_loss: double
child 5, expert_load_ratio: double
child 6, routing_entropy: double
child 7, dead_experts: int64
child 8, max_expert_frac: double
general: struct<nll: double, ppl: double, bpb: double, n_tokens: int64, aux_loss: double, expert_load_ratio: (... 78 chars omitted)
child 0, nll: double
child 1, ppl: double
child 2, bpb: double
child 3, n_tokens: int64
child 4, aux_loss: double
child 5, expert_load_ratio: double
child 6, routing_entropy: double
child 7, dead_experts: int64
child 8, max_expert_frac: double
baseline_jade_test_bpb: double
baseline_general_bpb: double
official_split: string
jade_test_bpb_full: struct<baseline: double, trained_final: double, delta_pct: double, note: string>
child 0, baseline: double
child 1, trained_final: double
child 2, delta_pct: double
child 3, note: string
forgetting_AGNews_clean: struct<baseline: double, trained: double, delta_pct: double, note: string>
child 0, baseline: double
child 1, trained: double
child 2, delta_pct: double
child 3, note: string
routing: struct<entropy: double, load_ratio: double, dead_experts: int64>
child 0, entropy: double
child 1, load_ratio: double
child 2, dead_experts: int64
jade_test_bpb_LEAK_ROBUST: struct<baseline: double, trained_final: double, delta_pct: double, n_docs: int64, note: string>
child 0, baseline: double
child 1, trained_final: double
child 2, delta_pct: double
child 3, n_docs: int64
child 4, note: string
to
{'official_split': Value('string'), 'jade_test_bpb_full': {'baseline': Value('float64'), 'trained_final': Value('float64'), 'delta_pct': Value('float64'), 'note': Value('string')}, 'jade_test_bpb_LEAK_ROBUST': {'baseline': Value('float64'), 'trained_final': Value('float64'), 'delta_pct': Value('float64'), 'n_docs': Value('int64'), 'note': Value('string')}, 'forgetting_AGNews_clean': {'baseline': Value('float64'), 'trained': Value('float64'), 'delta_pct': Value('float64'), 'note': Value('string')}, 'routing': {'entropy': Value('float64'), 'load_ratio': Value('float64'), 'dead_experts': Value('int64')}, 'checkpoint': 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
checkpoint: string
step: int64
tokens_seen: int64
full_test: bool
n_test_docs: int64
jade_test: struct<nll: double, ppl: double, bpb: double, n_tokens: int64, aux_loss: double, expert_load_ratio: (... 78 chars omitted)
child 0, nll: double
child 1, ppl: double
child 2, bpb: double
child 3, n_tokens: int64
child 4, aux_loss: double
child 5, expert_load_ratio: double
child 6, routing_entropy: double
child 7, dead_experts: int64
child 8, max_expert_frac: double
general: struct<nll: double, ppl: double, bpb: double, n_tokens: int64, aux_loss: double, expert_load_ratio: (... 78 chars omitted)
child 0, nll: double
child 1, ppl: double
child 2, bpb: double
child 3, n_tokens: int64
child 4, aux_loss: double
child 5, expert_load_ratio: double
child 6, routing_entropy: double
child 7, dead_experts: int64
child 8, max_expert_frac: double
baseline_jade_test_bpb: double
baseline_general_bpb: double
official_split: string
jade_test_bpb_full: struct<baseline: double, trained_final: double, delta_pct: double, note: string>
child 0, baseline: double
child 1, trained_final: double
child 2, delta_pct: double
child 3, note: string
forgetting_AGNews_clean: struct<baseline: double, trained: double, delta_pct: double, note: string>
child 0, baseline: double
child 1, trained: double
child 2, delta_pct: double
child 3, note: string
routing: struct<entropy: double, load_ratio: double, dead_experts: int64>
child 0, entropy: double
child 1, load_ratio: double
child 2, dead_experts: int64
jade_test_bpb_LEAK_ROBUST: struct<baseline: double, trained_final: double, delta_pct: double, n_docs: int64, note: string>
child 0, baseline: double
child 1, trained_final: double
child 2, delta_pct: double
child 3, n_docs: int64
child 4, note: string
to
{'official_split': Value('string'), 'jade_test_bpb_full': {'baseline': Value('float64'), 'trained_final': Value('float64'), 'delta_pct': Value('float64'), 'note': Value('string')}, 'jade_test_bpb_LEAK_ROBUST': {'baseline': Value('float64'), 'trained_final': Value('float64'), 'delta_pct': Value('float64'), 'n_docs': Value('int64'), 'note': Value('string')}, 'forgetting_AGNews_clean': {'baseline': Value('float64'), 'trained': Value('float64'), 'delta_pct': Value('float64'), 'note': Value('string')}, 'routing': {'entropy': Value('float64'), 'load_ratio': Value('float64'), 'dead_experts': Value('int64')}, 'checkpoint': 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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