Datasets:

---

silvanus0930

/

Teutonic-Q3-4B-Prod10T

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
docs_seen: int64
docs_used: int64
tokens_seen: int64
tokenizer_dir: string
config: string
tokenizer: string
sequences_per_shard: int64
vocab_size: int64
eos_token_id: int64
dataset: string
dtype: string
created_at: timestamp[s]
version: string
total_shards: int64
shards: list<item: struct<key: string, num_sequences: int64, num_tokens: int64, dtype: string, shape: list<i (... 27 chars omitted)
  child 0, item: struct<key: string, num_sequences: int64, num_tokens: int64, dtype: string, shape: list<item: int64> (... 15 chars omitted)
      child 0, key: string
      child 1, num_sequences: int64
      child 2, num_tokens: int64
      child 3, dtype: string
      child 4, shape: list<item: int64>
          child 0, item: int64
      child 5, bytes: int64
split: string
seq_len: int64
to
{'version': Value('string'), 'dataset': Value('string'), 'config': Value('string'), 'split': Value('string'), 'tokenizer': Value('string'), 'tokenizer_dir': Value('string'), 'seq_len': Value('int64'), 'sequences_per_shard': Value('int64'), 'eos_token_id': Value('int64'), 'vocab_size': Value('int64'), 'dtype': Value('string'), 'created_at': Value('timestamp[s]'), 'total_shards': Value('int64'), 'shards': List({'key': Value('string'), 'num_sequences': Value('int64'), 'num_tokens': Value('int64'), 'dtype': Value('string'), 'shape': List(Value('int64')), 'bytes': Value('int64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              docs_seen: int64
              docs_used: int64
              tokens_seen: int64
              tokenizer_dir: string
              config: string
              tokenizer: string
              sequences_per_shard: int64
              vocab_size: int64
              eos_token_id: int64
              dataset: string
              dtype: string
              created_at: timestamp[s]
              version: string
              total_shards: int64
              shards: list<item: struct<key: string, num_sequences: int64, num_tokens: int64, dtype: string, shape: list<i (... 27 chars omitted)
                child 0, item: struct<key: string, num_sequences: int64, num_tokens: int64, dtype: string, shape: list<item: int64> (... 15 chars omitted)
                    child 0, key: string
                    child 1, num_sequences: int64
                    child 2, num_tokens: int64
                    child 3, dtype: string
                    child 4, shape: list<item: int64>
                        child 0, item: int64
                    child 5, bytes: int64
              split: string
              seq_len: int64
              to
              {'version': Value('string'), 'dataset': Value('string'), 'config': Value('string'), 'split': Value('string'), 'tokenizer': Value('string'), 'tokenizer_dir': Value('string'), 'seq_len': Value('int64'), 'sequences_per_shard': Value('int64'), 'eos_token_id': Value('int64'), 'vocab_size': Value('int64'), 'dtype': Value('string'), 'created_at': Value('timestamp[s]'), 'total_shards': Value('int64'), 'shards': List({'key': Value('string'), 'num_sequences': Value('int64'), 'num_tokens': Value('int64'), 'dtype': Value('string'), 'shape': List(Value('int64')), 'bytes': Value('int64')})}
              because column names don't match