RLTR: Learning Robust Reasoning via Transfer
Collection
Checkpoints (bf16, 50-step) + train/eval data for RLTR (transfer-reward RL) incl. cross-family (gemma) receiver. • 7 items • Updated
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
model: string
n_rows: int64
n_recv: int64
ratios: list<item: string>
child 0, item: string
cap_gen: int64
max_model_len: int64
over_length: struct<cold: int64, r0.3: int64, r0.5: int64, r0.7: int64, r0.9: int64>
child 0, cold: int64
child 1, r0.3: int64
child 2, r0.5: int64
child 3, r0.7: int64
child 4, r0.9: int64
acc: struct<cold: double, r0.3: double, r0.5: double, r0.7: double, r0.9: double>
child 0, cold: double
child 1, r0.3: double
child 2, r0.5: double
child 3, r0.7: double
child 4, r0.9: double
lift: struct<r0.3: double, r0.5: double, r0.7: double, r0.9: double>
child 0, r0.3: double
child 1, r0.5: double
child 2, r0.7: double
child 3, r0.9: double
rows: list<item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, (... 68 chars omitted)
child 0, item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, ratios: str (... 56 chars omitted)
child 0, bench: string
child 1, i: int64
child 2, s: int64
child 3, gt: string
child 4, question: string
child 5, full_len: int64
child 6, ratios: struct<0.3: string, 0.5: string, 0.7: string, 0.9: string>
child 0, 0.3: string
child 1, 0.5: string
child 2, 0.7: string
child 3, 0.9: string
to
{'ratios': List(Value('string')), 'rows': List({'bench': Value('string'), 'i': Value('int64'), 's': Value('int64'), 'gt': Value('string'), 'question': Value('string'), 'full_len': Value('int64'), 'ratios': {'0.3': Value('string'), '0.5': Value('string'), '0.7': Value('string'), '0.9': 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
model: string
n_rows: int64
n_recv: int64
ratios: list<item: string>
child 0, item: string
cap_gen: int64
max_model_len: int64
over_length: struct<cold: int64, r0.3: int64, r0.5: int64, r0.7: int64, r0.9: int64>
child 0, cold: int64
child 1, r0.3: int64
child 2, r0.5: int64
child 3, r0.7: int64
child 4, r0.9: int64
acc: struct<cold: double, r0.3: double, r0.5: double, r0.7: double, r0.9: double>
child 0, cold: double
child 1, r0.3: double
child 2, r0.5: double
child 3, r0.7: double
child 4, r0.9: double
lift: struct<r0.3: double, r0.5: double, r0.7: double, r0.9: double>
child 0, r0.3: double
child 1, r0.5: double
child 2, r0.7: double
child 3, r0.9: double
rows: list<item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, (... 68 chars omitted)
child 0, item: struct<bench: string, i: int64, s: int64, gt: string, question: string, full_len: int64, ratios: str (... 56 chars omitted)
child 0, bench: string
child 1, i: int64
child 2, s: int64
child 3, gt: string
child 4, question: string
child 5, full_len: int64
child 6, ratios: struct<0.3: string, 0.5: string, 0.7: string, 0.9: string>
child 0, 0.3: string
child 1, 0.5: string
child 2, 0.7: string
child 3, 0.9: string
to
{'ratios': List(Value('string')), 'rows': List({'bench': Value('string'), 'i': Value('int64'), 's': Value('int64'), 'gt': Value('string'), 'question': Value('string'), 'full_len': Value('int64'), 'ratios': {'0.3': Value('string'), '0.5': Value('string'), '0.7': Value('string'), '0.9': 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.
No dataset card yet