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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
complexity_bin: string
covariates: struct<cache_hits: int64, complexity_bin: string, depth: int64, feature_cardinalities: struct<frames (... 314 chars omitted)
child 0, cache_hits: int64
child 1, complexity_bin: string
child 2, depth: int64
child 3, feature_cardinalities: struct<frames: int64, oriented_states: int64, subtrees: int64, symmetry_states: int64>
child 0, frames: int64
child 1, oriented_states: int64
child 2, subtrees: int64
child 3, symmetry_states: int64
child 4, frames: int64
child 5, label: string
child 6, maximum_branching: int64
child 7, rendered_tokens: struct<cot: int64, pencil: int64, recursive: int64>
child 0, cot: int64
child 1, pencil: int64
child 2, recursive: int64
child 8, root_legal_moves: int64
child 9, root_ply: int64
child 10, supervised_tokens: struct<cot: int64, pencil: int64, recursive: int64>
child 0, cot: int64
child 1, pencil: int64
child 2, recursive: int64
depth: int64
format: string
frames: int64
label: string
proof: struct<children: list<item: struct<child: struct<children: list<item: struct<child: struct<children: (... 1325 chars omitted)
child 0, children: list<item: struct<child: struct<children: list<item: struct<child: struct<children: list<item: struc (... 1204 chars omitted)
child 0, item: struct<child: struct<children: list<item: struct<child: struct<children: list<item: struct<child: st (... 1192 chars omitted)
child 0, child: st
...
: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
protocol: string
reference_cot_tokens: int64
root_id: string
audit_root_ids: list<item: string>
child 0, item: string
train_sha256: string
complete: bool
train_root_ids: list<item: string>
child 0, item: string
spec: struct<cols: int64, connect: int64, format: string, rows: int64>
child 0, cols: int64
child 1, connect: int64
child 2, format: string
child 3, rows: int64
to
{'audit_root_ids': List(Value('string')), 'complete': Value('bool'), 'format': Value('string'), 'protocol': Value('string'), 'spec': {'cols': Value('int64'), 'connect': Value('int64'), 'format': Value('string'), 'rows': Value('int64')}, 'train_root_ids': List(Value('string')), 'train_sha256': 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
complexity_bin: string
covariates: struct<cache_hits: int64, complexity_bin: string, depth: int64, feature_cardinalities: struct<frames (... 314 chars omitted)
child 0, cache_hits: int64
child 1, complexity_bin: string
child 2, depth: int64
child 3, feature_cardinalities: struct<frames: int64, oriented_states: int64, subtrees: int64, symmetry_states: int64>
child 0, frames: int64
child 1, oriented_states: int64
child 2, subtrees: int64
child 3, symmetry_states: int64
child 4, frames: int64
child 5, label: string
child 6, maximum_branching: int64
child 7, rendered_tokens: struct<cot: int64, pencil: int64, recursive: int64>
child 0, cot: int64
child 1, pencil: int64
child 2, recursive: int64
child 8, root_legal_moves: int64
child 9, root_ply: int64
child 10, supervised_tokens: struct<cot: int64, pencil: int64, recursive: int64>
child 0, cot: int64
child 1, pencil: int64
child 2, recursive: int64
depth: int64
format: string
frames: int64
label: string
proof: struct<children: list<item: struct<child: struct<children: list<item: struct<child: struct<children: (... 1325 chars omitted)
child 0, children: list<item: struct<child: struct<children: list<item: struct<child: struct<children: list<item: struc (... 1204 chars omitted)
child 0, item: struct<child: struct<children: list<item: struct<child: struct<children: list<item: struct<child: st (... 1192 chars omitted)
child 0, child: st
...
: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
child 1, move: int64
child 1, format: string
child 2, label: string
child 3, state: struct<board: list<item: int64>, player: int64>
child 0, board: list<item: int64>
child 0, item: int64
child 1, player: int64
child 4, terminal: bool
protocol: string
reference_cot_tokens: int64
root_id: string
audit_root_ids: list<item: string>
child 0, item: string
train_sha256: string
complete: bool
train_root_ids: list<item: string>
child 0, item: string
spec: struct<cols: int64, connect: int64, format: string, rows: int64>
child 0, cols: int64
child 1, connect: int64
child 2, format: string
child 3, rows: int64
to
{'audit_root_ids': List(Value('string')), 'complete': Value('bool'), 'format': Value('string'), 'protocol': Value('string'), 'spec': {'cols': Value('int64'), 'connect': Value('int64'), 'format': Value('string'), 'rows': Value('int64')}, 'train_root_ids': List(Value('string')), 'train_sha256': 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.
Nanochat Connect-K Flat chain of thought v1
This is a static, deterministic pretraining rendering of the validated recursive Connect-K disjoint V3 proofs. Recursive rows are runtime-aligned frame segments: a new document begins whenever strict execution enters a child frame or resumes a parent after replacing its call block with the copied child return. The paired recursive and flat-CoT repositories use the exact same ordered roots and canonical source proofs. Their token streams and target counts are intentionally not claimed to be identical because fresh-frame transposition-cache semantics are part of the recursive representation.
Source manifest SHA-256: 4e4360713737c72931fe204a80609f3dbc90410890e781124a07b29b4f0893f9.
The included test split is evaluation-only. Use
python -m scripts.stage_recursive_pretraining to create loader-native
nanochat shards; that command excludes test rows.
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