Datasets:

---

chanzuckerberg

/

DynaCLR-data

like 0

Follow

Chan Zuckerberg Initiative 59

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 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<>
dimension_names: list<item: string>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
vs
attributes: struct<ome: struct<multiscales: list<item: struct<version: string, axes: list<item: struct<name: string, type: string, unit: string>>, datasets: list<item: struct<path: string, coordinateTransformations: list<item: struct<type: string, scale: list<item: double>>>>>, name: string>>, omero: struct<version: string, id: int64, name: string, channels: list<item: struct<active: bool, coefficient: double, color: string, family: string, inverted: bool, label: string, window: struct<start: double, end: double, min: double, max: double>>>, rdefs: struct<defaultT: int64, defaultZ: int64, model: string, projection: string>>, version: string>, extra_metadata: null>
zarr_format: int64
node_type: string
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: 
              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<>
              dimension_names: list<item: string>
              zarr_format: int64
              node_type: string
              storage_transformers: list<item: null>
              vs
              attributes: struct<ome: struct<multiscales: list<item: struct<version: string, axes: list<item: struct<name: string, type: string, unit: string>>, datasets: list<item: struct<path: string, coordinateTransformations: list<item: struct<type: string, scale: list<item: double>>>>>, name: string>>, omero: struct<version: string, id: int64, name: string, channels: list<item: struct<active: bool, coefficient: double, color: string, family: string, inverted: bool, label: string, window: struct<start: double, end: double, min: double, max: double>>>, rdefs: struct<defaultT: int64, defaultZ: int64, model: string, projection: string>>, version: string>, extra_metadata: null>
              zarr_format: int64
              node_type: string