Datasets:

---

khtsly

/

cache-stage1

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
format: string
key: string
tokenizer: string
vocab_size: int64
pad_id: int64
seq_len: int64
sequences: int64
seed: int64
shuffle_merged: bool
shard_sequences: int64
shards: int64
datasets: list<item: struct<name: string, cache: string, n_docs: int64, n_tokens: int64, weight: double>>
  child 0, item: struct<name: string, cache: string, n_docs: int64, n_tokens: int64, weight: double>
      child 0, name: string
      child 1, cache: string
      child 2, n_docs: int64
      child 3, n_tokens: int64
      child 4, weight: double
n_tokens: int64
token_dtype: string
dataset: struct<name: string, repo: string, subset: string, split: string, column: string, streaming: bool, s (... 407 chars omitted)
  child 0, name: string
  child 1, repo: string
  child 2, subset: string
  child 3, split: string
  child 4, column: string
  child 5, streaming: bool
  child 6, shuffle: bool
  child 7, seed: int64
  child 8, budget_tokens: int64
  child 9, max_rows: null
  child 10, skip_rows: null
  child 11, skip_tokens: null
  child 12, weight: double
  child 13, revision: null
  child 14, filter_enabled: bool
  child 15, filter_min_chars: int64
  child 16, filter_max_symbol_ratio: double
  child 17, filter_column: null
  child 18, filter_min: null
  child 19, filter_max: null
  child 20, list_column: null
  child 21, text_key: null
  child 22, keep_field: null
  child 23, keep_values: list<item: null>
      child 0, item: null
  child 24, license_field: null
  child 25, license_allow: list<item: null>
      child 0, item: null
n_docs: int64
to
{'format': Value('string'), 'key': Value('string'), 'dataset': {'name': Value('string'), 'repo': Value('string'), 'subset': Value('string'), 'split': Value('string'), 'column': Value('string'), 'streaming': Value('bool'), 'shuffle': Value('bool'), 'seed': Value('int64'), 'budget_tokens': Value('int64'), 'max_rows': Value('null'), 'skip_rows': Value('null'), 'skip_tokens': Value('null'), 'weight': Value('float64'), 'revision': Value('null'), 'filter_enabled': Value('bool'), 'filter_min_chars': Value('int64'), 'filter_max_symbol_ratio': Value('float64'), 'filter_column': Value('null'), 'filter_min': Value('null'), 'filter_max': Value('null'), 'list_column': Value('null'), 'text_key': Value('null'), 'keep_field': Value('null'), 'keep_values': List(Value('null')), 'license_field': Value('null'), 'license_allow': List(Value('null'))}, 'tokenizer': {'type': Value('string'), 'path': Value('string'), 'add_bos': Value('bool'), 'add_eos': Value('bool'), 'vocab_size': Value('int64')}, 'token_dtype': Value('string'), 'n_docs': Value('int64'), 'n_tokens': Value('int64')}
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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              format: string
              key: string
              tokenizer: string
              vocab_size: int64
              pad_id: int64
              seq_len: int64
              sequences: int64
              seed: int64
              shuffle_merged: bool
              shard_sequences: int64
              shards: int64
              datasets: list<item: struct<name: string, cache: string, n_docs: int64, n_tokens: int64, weight: double>>
                child 0, item: struct<name: string, cache: string, n_docs: int64, n_tokens: int64, weight: double>
                    child 0, name: string
                    child 1, cache: string
                    child 2, n_docs: int64
                    child 3, n_tokens: int64
                    child 4, weight: double
              n_tokens: int64
              token_dtype: string
              dataset: struct<name: string, repo: string, subset: string, split: string, column: string, streaming: bool, s (... 407 chars omitted)
                child 0, name: string
                child 1, repo: string
                child 2, subset: string
                child 3, split: string
                child 4, column: string
                child 5, streaming: bool
                child 6, shuffle: bool
                child 7, seed: int64
                child 8, budget_tokens: int64
                child 9, max_rows: null
                child 10, skip_rows: null
                child 11, skip_tokens: null
                child 12, weight: double
                child 13, revision: null
                child 14, filter_enabled: bool
                child 15, filter_min_chars: int64
                child 16, filter_max_symbol_ratio: double
                child 17, filter_column: null
                child 18, filter_min: null
                child 19, filter_max: null
                child 20, list_column: null
                child 21, text_key: null
                child 22, keep_field: null
                child 23, keep_values: list<item: null>
                    child 0, item: null
                child 24, license_field: null
                child 25, license_allow: list<item: null>
                    child 0, item: null
              n_docs: int64
              to
              {'format': Value('string'), 'key': Value('string'), 'dataset': {'name': Value('string'), 'repo': Value('string'), 'subset': Value('string'), 'split': Value('string'), 'column': Value('string'), 'streaming': Value('bool'), 'shuffle': Value('bool'), 'seed': Value('int64'), 'budget_tokens': Value('int64'), 'max_rows': Value('null'), 'skip_rows': Value('null'), 'skip_tokens': Value('null'), 'weight': Value('float64'), 'revision': Value('null'), 'filter_enabled': Value('bool'), 'filter_min_chars': Value('int64'), 'filter_max_symbol_ratio': Value('float64'), 'filter_column': Value('null'), 'filter_min': Value('null'), 'filter_max': Value('null'), 'list_column': Value('null'), 'text_key': Value('null'), 'keep_field': Value('null'), 'keep_values': List(Value('null')), 'license_field': Value('null'), 'license_allow': List(Value('null'))}, 'tokenizer': {'type': Value('string'), 'path': Value('string'), 'add_bos': Value('bool'), 'add_eos': Value('bool'), 'vocab_size': Value('int64')}, 'token_dtype': Value('string'), 'n_docs': Value('int64'), 'n_tokens': Value('int64')}
              because column names don't match