Datasets:

---

selmanozleyen

/

pbmc-subset

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 3 was different: 
shape: list<item: int64>
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
fill_value: double
codecs: list<item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>>>, index_codecs: list<item: struct<name: string, configuration: struct<endian: string>>>, index_location: string>>>
attributes: struct<encoding-type: string, encoding-version: string>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
vs
attributes: struct<encoding-type: string, encoding-version: string>
zarr_format: int64
consolidated_metadata: null
node_type: 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, 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 2187, 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 2391, in iter
                  for key, example in iterator:
                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 1904, 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 527, 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 3 was different: 
              shape: list<item: int64>
              data_type: string
              chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
              chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
              fill_value: double
              codecs: list<item: struct<name: string, configuration: struct<chunk_shape: list<item: int64>, codecs: list<item: struct<name: string, configuration: struct<endian: string, typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>>>, index_codecs: list<item: struct<name: string, configuration: struct<endian: string>>>, index_location: string>>>
              attributes: struct<encoding-type: string, encoding-version: string>
              zarr_format: int64
              node_type: string
              storage_transformers: list<item: null>
              vs
              attributes: struct<encoding-type: string, encoding-version: string>
              zarr_format: int64
              consolidated_metadata: null
              node_type: string