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
id: string
messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
metadata: struct<scenario: string, source_files: list<item: string>, split: string, track: string, training_pa (... 14 chars omitted)
child 0, scenario: string
child 1, source_files: list<item: string>
child 0, item: string
child 2, split: string
child 3, track: string
child 4, training_pattern: string
meta: struct<program: string, category: string, concept_id: string, faces: list<item: string>, split: stri (... 3 chars omitted)
child 0, program: string
child 1, category: string
child 2, concept_id: string
child 3, faces: list<item: string>
child 0, item: string
child 4, split: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'meta': {'program': Value('string'), 'category': Value('string'), 'concept_id': Value('string'), 'faces': List(Value('string')), 'split': 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 489, 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
id: string
messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
metadata: struct<scenario: string, source_files: list<item: string>, split: string, track: string, training_pa (... 14 chars omitted)
child 0, scenario: string
child 1, source_files: list<item: string>
child 0, item: string
child 2, split: string
child 3, track: string
child 4, training_pattern: string
meta: struct<program: string, category: string, concept_id: string, faces: list<item: string>, split: stri (... 3 chars omitted)
child 0, program: string
child 1, category: string
child 2, concept_id: string
child 3, faces: list<item: string>
child 0, item: string
child 4, split: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'meta': {'program': Value('string'), 'category': Value('string'), 'concept_id': Value('string'), 'faces': List(Value('string')), 'split': 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.
Status: experimental. Research artifact, not a production candidate. Canonical dataset: scbe-aethermoore-training-data.
SCBE chemistry SFT
Chemistry adapter training data, split by purpose rather than one flat pile:
chemistry_adapter_invariants_v1_{train,eval}.sft.jsonl- conservation and invariant rowschemistry_adapter_verification_v1_{train,eval}.sft.jsonl- verification rowschemistry_gate_repair_v1_{train,eval}.sft.jsonl- gate-repair rowsaligned_foundations_v2_{train,holdout}.sft.jsonl- foundation rows with a declared holdout
Note that aligned_foundations_v2 ships a holdout while the chemistry lanes
ship an eval. Those are not the same guarantee: the holdout is declared as
withheld, the eval files are not verified cold against their train counterparts.
Verify before reporting any number from them.
- Downloads last month
- 64