Dataset Viewer
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The dataset viewer is not available for this split.
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: 
namespace: list<item: string>
properties: struct<>
tables: struct<taxi_dataset: string>
vs
location: string
table-uuid: string
last-updated-ms: int64
last-column-id: int64
schemas: list<item: struct<type: string, fields: list<item: struct<id: int64, name: string, type: string, required: bool>>, schema-id: int64, identifier-field-ids: list<item: null>>>
current-schema-id: int64
partition-specs: list<item: struct<spec-id: int64, fields: list<item: null>>>
default-spec-id: int64
last-partition-id: int64
properties: struct<>
snapshots: list<item: null>
snapshot-log: list<item: null>
metadata-log: list<item: null>
sort-orders: list<item: struct<order-id: int64, fields: list<item: null>>>
default-sort-order-id: int64
refs: struct<>
statistics: list<item: null>
partition-statistics: list<item: null>
format-version: int64
last-sequence-number: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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 531, 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: 
              namespace: list<item: string>
              properties: struct<>
              tables: struct<taxi_dataset: string>
              vs
              location: string
              table-uuid: string
              last-updated-ms: int64
              last-column-id: int64
              schemas: list<item: struct<type: string, fields: list<item: struct<id: int64, name: string, type: string, required: bool>>, schema-id: int64, identifier-field-ids: list<item: null>>>
              current-schema-id: int64
              partition-specs: list<item: struct<spec-id: int64, fields: list<item: null>>>
              default-spec-id: int64
              last-partition-id: int64
              properties: struct<>
              snapshots: list<item: null>
              snapshot-log: list<item: null>
              metadata-log: list<item: null>
              sort-orders: list<item: struct<order-id: int64, fields: list<item: null>>>
              default-sort-order-id: int64
              refs: struct<>
              statistics: list<item: null>
              partition-statistics: list<item: null>
              format-version: int64
              last-sequence-number: int64

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