lance.LanceDataset.to_batches(columns: list[str] | dict[str, str] | None = None, filter: str | Expression | None = None, limit: int | None = None, offset: int | None = None, nearest: dict | None = None, batch_size: int | None = None, batch_readahead: int | None = None, fragment_readahead: int | None = None, scan_in_order: bool | None = None, *, prefilter: bool | None = None, with_row_id: bool | None = None, with_row_address: bool | None = None, use_stats: bool | None = None, full_text_query: str | dict | None = None, io_buffer_size: int | None = None, late_materialization: bool | list[str] | None = None, use_scalar_index: bool | None = None, **kwargs) → Iterator[RecordBatch]

Read the dataset as materialized record batches.

Parameters:
**kwargs : dict, optional

Arguments for scanner().

Returns:

record_batches

Return type:

Iterator of RecordBatch