Dataset Viewer
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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
json: struct<architectures: list<item: string>, attention_dropout: double, bos_token_id: int64, eos_token_id: int64, hidden_act: string, hidden_size: int64, initializer_range: double, intermediate_size: int64, max_position_embeddings: int64, max_window_layers: int64, model_type: string, num_attention_heads: int64, num_hidden_layers: int64, num_key_value_heads: int64, rms_norm_eps: double, rope_theta: double, sliding_window: int64, tie_word_embeddings: bool, torch_dtype: string, transformers_version: string, use_cache: bool, use_mrope: bool, use_sliding_window: bool, vocab_size: int64>
  child 0, architectures: list<item: string>
      child 0, item: string
  child 1, attention_dropout: double
  child 2, bos_token_id: int64
  child 3, eos_token_id: int64
  child 4, hidden_act: string
  child 5, hidden_size: int64
  child 6, initializer_range: double
  child 7, intermediate_size: int64
  child 8, max_position_embeddings: int64
  child 9, max_window_layers: int64
  child 10, model_type: string
  child 11, num_attention_heads: int64
  child 12, num_hidden_layers: int64
  child 13, num_key_value_heads: int64
  child 14, rms_norm_eps: double
  child 15, rope_theta: double
  child 16, sliding_window: int64
  child 17, tie_word_embeddings: bool
  child 18, torch_dtype: string
  child 19, transformers_version: string
  child 20, use_cache: bool
  child 21, use_mrope: bool
  child 22, use_sliding_window: bool
  child 23, vocab_size: int64
__key__: string
__url__: string
jsonl: null
to
{'jsonl': Value('binary'), '__key__': Value('string'), '__url__': Value('string')}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1914, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              json: struct<architectures: list<item: string>, attention_dropout: double, bos_token_id: int64, eos_token_id: int64, hidden_act: string, hidden_size: int64, initializer_range: double, intermediate_size: int64, max_position_embeddings: int64, max_window_layers: int64, model_type: string, num_attention_heads: int64, num_hidden_layers: int64, num_key_value_heads: int64, rms_norm_eps: double, rope_theta: double, sliding_window: int64, tie_word_embeddings: bool, torch_dtype: string, transformers_version: string, use_cache: bool, use_mrope: bool, use_sliding_window: bool, vocab_size: int64>
                child 0, architectures: list<item: string>
                    child 0, item: string
                child 1, attention_dropout: double
                child 2, bos_token_id: int64
                child 3, eos_token_id: int64
                child 4, hidden_act: string
                child 5, hidden_size: int64
                child 6, initializer_range: double
                child 7, intermediate_size: int64
                child 8, max_position_embeddings: int64
                child 9, max_window_layers: int64
                child 10, model_type: string
                child 11, num_attention_heads: int64
                child 12, num_hidden_layers: int64
                child 13, num_key_value_heads: int64
                child 14, rms_norm_eps: double
                child 15, rope_theta: double
                child 16, sliding_window: int64
                child 17, tie_word_embeddings: bool
                child 18, torch_dtype: string
                child 19, transformers_version: string
                child 20, use_cache: bool
                child 21, use_mrope: bool
                child 22, use_sliding_window: bool
                child 23, vocab_size: int64
              __key__: string
              __url__: string
              jsonl: null
              to
              {'jsonl': Value('binary'), '__key__': Value('string'), '__url__': Value('string')}
              because column names don't match

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