Add batch_size to data formats docs
@@ -63,6 +63,7 @@ your config and check that it's valid, you can run the
> before_creation = null
> after_creation = null
> after_pipeline_creation = null
+> batch_size = 1000
>
> [nlp.tokenizer]
> @tokenizers = "spacy.Tokenizer.v1"
@@ -80,6 +81,7 @@ Defines the `nlp` object, its tokenizer and
| `after_creation` | Optional [callback](/usage/training#custom-code-nlp-callbacks) to modify `nlp` object right after it's initialized. Defaults to `null`. ~~Optional[Callable[[Language], Language]]~~ |
| `after_pipeline_creation` | Optional [callback](/usage/training#custom-code-nlp-callbacks) to modify `nlp` object after the pipeline components have been added. Defaults to `null`. ~~Optional[Callable[[Language], Language]]~~ |
| `tokenizer` | The tokenizer to use. Defaults to [`Tokenizer`](/api/tokenizer). ~~Callable[[str], Doc]~~ |
+| `batch_size` | Default batch size for [`Language.pipe`](/api/language#pipe) and [`Language.evaluate`](/api/language#evaluate). ~~int~~ |
### components {#config-components tag="section"}
