Dataset Viewer
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: 
n_chunks: int64
dim: int64
total_vectors: int64
vectors_per_chunk: int64
index_type: string
vs
id: int64
source: string
version: string
added: string
created: string
text: string
metadata: struct<year: int64, title: string, abstract: string, sha1: string, sources: list<item: string>, s2fieldsofstudy: list<item: string>, extfieldsofstudy: list<item: string>, external_ids: list<item: struct<source: string, id: string>>>
shard_id: int64
num_shards: int64
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, 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 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 520, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              n_chunks: int64
              dim: int64
              total_vectors: int64
              vectors_per_chunk: int64
              index_type: string
              vs
              id: int64
              source: string
              version: string
              added: string
              created: string
              text: string
              metadata: struct<year: int64, title: string, abstract: string, sha1: string, sources: list<item: string>, s2fieldsofstudy: list<item: string>, extfieldsofstudy: list<item: string>, external_ids: list<item: struct<source: string, id: string>>>
              shard_id: int64
              num_shards: int64

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