In the dataset I have 5000000 rows, I would like to add a column called ‘embeddings’ to my dataset.
dataset = dataset.add_column('embeddings', embeddings)
The variable embeddings is a numpy memmap array of size (5000000, 512).
But I get this error:

ArrowInvalidTraceback (most recent call last)
 in 
----> 1 dataset = dataset.add_column(‘embeddings’, embeddings)
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in wrapper(*args, **kwargs)
486         }
487         # apply actual function
 → 488         out: Union[“Dataset”, “DatasetDict”] = func(self, *args, **kwargs)
489         datasets: List[“Dataset”] = list(out.values()) if isinstance(out, dict) else [out]
490         # re-apply format to the output
/opt/conda/lib/python3.8/site-packages/datasets/fingerprint.py in wrapper(*args, **kwargs)
404             # Call actual function
405
 → 406             out = func(self, *args, **kwargs)
407
408             # Update fingerprint of in-place transforms + update in-place history of transforms
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in add_column(self, name, column, new_fingerprint)
3346             :class:Dataset
3347         “”"
 → 3348         column_table = InMemoryTable.from_pydict({name: column})
3349         # Concatenate tables horizontally
3350         table = ConcatenationTable.from_tables([self._data, column_table], axis=1)
/opt/conda/lib/python3.8/site-packages/datasets/table.py in from_pydict(cls, *args, **kwargs)
367     @classmethod
368     def from_pydict(cls, *args, **kwargs):
 → 369         return cls(pa.Table.from_pydict(*args, **kwargs))
370
371     @inject_arrow_table_documentation(pa.Table.from_batches)
/opt/conda/lib/python3.8/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_pydict()
/opt/conda/lib/python3.8/site-packages/pyarrow/table.pxi in pyarrow.lib._from_pydict()
/opt/conda/lib/python3.8/site-packages/pyarrow/array.pxi in pyarrow.lib.asarray()
/opt/conda/lib/python3.8/site-packages/pyarrow/array.pxi in pyarrow.lib.array()
/opt/conda/lib/python3.8/site-packages/pyarrow/array.pxi in pyarrow.lib._ndarray_to_array()
/opt/conda/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowInvalid: only handle 1-dimensional arrays

How can I solve?