Datasets:

---

hub-google

/

DarkChess-NNUE-Data

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
black_model: string
hid: list<item: int64>
  child 0, item: int64
id: string
model: string
mov: list<item: int64>
  child 0, item: int64
pi: list<item: list<item: list<item: double>>>
  child 0, item: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
ply: int64
q: list<item: double>
  child 0, item: double
qd: list<item: int64>
  child 0, item: int64
qn: list<item: int64>
  child 0, item: int64
qt: list<item: int64>
  child 0, item: int64
red_model: string
res: int64
search_mode: string
ts: int64
v: list<item: double>
  child 0, item: double
ver: string
draw_reason: string
games: int64
input_archives: int64
run_id: int64
verified_at: int64
verified_by: string
to
{'games': Value('int64'), 'input_archives': Value('int64'), 'run_id': Value('int64'), 'verified_at': Value('int64'), 'verified_by': 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
              black_model: string
              hid: list<item: int64>
                child 0, item: int64
              id: string
              model: string
              mov: list<item: int64>
                child 0, item: int64
              pi: list<item: list<item: list<item: double>>>
                child 0, item: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              ply: int64
              q: list<item: double>
                child 0, item: double
              qd: list<item: int64>
                child 0, item: int64
              qn: list<item: int64>
                child 0, item: int64
              qt: list<item: int64>
                child 0, item: int64
              red_model: string
              res: int64
              search_mode: string
              ts: int64
              v: list<item: double>
                child 0, item: double
              ver: string
              draw_reason: string
              games: int64
              input_archives: int64
              run_id: int64
              verified_at: int64
              verified_by: string
              to
              {'games': Value('int64'), 'input_archives': Value('int64'), 'run_id': Value('int64'), 'verified_at': Value('int64'), 'verified_by': Value('string')}
              because column names don't match