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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
schema_version: int64
batch_id: string
created_at: string
models: struct<topic_model: string, stance_model: string, dim: int64, dtype: string, pooling: string, chunk_tokens: int64, normalize: bool>
counts: struct<topic: int64, stance: int64>
hf_dataset_id: string
paths: struct<embeddings_topic: string, embeddings_stance: string, metadata_topic: string, metadata_stance: string, manifest: string>
vs
author_tone_match: bool
bias_score: double
chars: int64
domain: string
id: string
implied_stance: string
political_leaning: string
published: string
saved_at: string
sha256: string
source: string
source_bias: string
stance_summary_text: string
title: string
url: string
row_id: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              schema_version: int64
              batch_id: string
              created_at: string
              models: struct<topic_model: string, stance_model: string, dim: int64, dtype: string, pooling: string, chunk_tokens: int64, normalize: bool>
              counts: struct<topic: int64, stance: int64>
              hf_dataset_id: string
              paths: struct<embeddings_topic: string, embeddings_stance: string, metadata_topic: string, metadata_stance: string, manifest: string>
              vs
              author_tone_match: bool
              bias_score: double
              chars: int64
              domain: string
              id: string
              implied_stance: string
              political_leaning: string
              published: string
              saved_at: string
              sha256: string
              source: string
              source_bias: string
              stance_summary_text: string
              title: string
              url: string
              row_id: string

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