Update docs [ci skip]

website/docs/api/data-formats.md

@@ -245,6 +245,8 @@ Also see the usage guides on the
 
 | Name           | Description                                                                                                                                                                                                                                                                                                                                                                                                    |
 | -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `after_init`   | Optional callback to modify the `nlp` object after initialization. ~~Optional[Callable[[Language], Language]]~~                                                                                                                                                                                                                                                                                                |
+| `before_init`  | Optional callback to modify the `nlp` object before initialization. ~~Optional[Callable[[Language], Language]]~~                                                                                                                                                                                                                                                                                               |
 | `components`   | Additional arguments passed to the `initialize` method of a pipeline component, keyed by component name. If type annotations are available on the method, the config will be validated against them. The `initialize` methods will always receive the `get_examples` callback and the current `nlp` object. ~~Dict[str, Dict[str, Any]]~~                                                                      |
 | `init_tok2vec` | Optional path to pretrained tok2vec weights created with [`spacy pretrain`](/api/cli#pretrain). Defaults to variable `${paths.init_tok2vec}`. ~~Optional[str]~~                                                                                                                                                                                                                                                |
 | `lookups`      | Additional lexeme and vocab data from [`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data). Defaults to `null`. ~~Optional[Lookups]~~                                                                                                                                                                                                                                                       |

website/docs/usage/models.md

@@ -33,7 +33,9 @@ spaCy currently provides support for the following languages. You can help by
 improving the existing [language data](/usage/linguistic-features#language-data)
 and extending the tokenization patterns.
 [See here](https://github.com/explosion/spaCy/issues/3056) for details on how to
-contribute to development.
+contribute to development. Also see the
+[training documentation](/usage/training) for how to train your own pipelines on
+your data.
 
 > #### Usage note
 >
@@ -281,6 +283,9 @@ $ python -m spacy download en_core_web_sm
 
 # Download exact package version
 $ python -m spacy download en_core_web_sm-3.0.0 --direct
+
+# Download binary wheel (can be more efficient)
+$ python -m spacy download en_core_web_sm --wheel
 ```
 
 The download command will [install the package](/usage/models#download-pip) via
@@ -433,8 +438,8 @@ URLs.
 
 ```text
 ### requirements.txt
-spacy>=2.2.0,<3.0.0
+spacy>=3.0.0,<4.0.0
-https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz#egg=en_core_web_sm
+https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz#egg=en_core_web_sm
 ```
 
 Specifying `#egg=` with the package name tells pip which package to expect from

website/docs/usage/v3.md

@@ -456,6 +456,7 @@ The following methods, attributes and commands are new in spaCy v3.0.
 | ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | [`Token.lex`](/api/token#attributes)                                                                                            | Access a token's [`Lexeme`](/api/lexeme).                                                                                                                                                        |
 | [`Token.morph`](/api/token#attributes)                                                                                          | Access a token's morphological analysis.                                                                                                                                                         |
+| [`Doc.spans`](/api/doc#spans)                                                                                                   | Named span groups to store and access collections of potentially overlapping spans. Uses the new [`SpanGroup`](/api/spangroup) data structure.                                                   |
 | [`Doc.has_annotation`](/api/doc#has_annotation)                                                                                 | Check whether a doc has annotation on a token attribute.                                                                                                                                         |
 | [`Language.select_pipes`](/api/language#select_pipes)                                                                           | Context manager for enabling or disabling specific pipeline components for a block.                                                                                                              |
 | [`Language.disable_pipe`](/api/language#disable_pipe), [`Language.enable_pipe`](/api/language#enable_pipe)                      | Disable or enable a loaded pipeline component (but don't remove it).                                                                                                                             |
@@ -584,8 +585,8 @@ Note that spaCy v3.0 now requires **Python 3.6+**.
   rule-based lemmas. You can now add it to your pipeline explicitly and set its
   mode on initialization.
 - Various keyword arguments across functions and methods are now explicitly
-  declared as _keyword-only_ arguments. Those arguments are documented
+  declared as **keyword-only** arguments. Those arguments are documented
-  accordingly across the API reference.
+  accordingly across the API reference using the <Tag>keyword-only</Tag> tag.
 
 ### Removed or renamed API {#incompat-removed}
 

website/src/components/code.js

@@ -121,7 +121,6 @@ function parseArgs(raw) {
 }
 
 function convertLine(line, i) {
-    console.log(line, i)
     const cliRegex = /^(\$ )?python -m spacy/
     if (cliRegex.test(line)) {
         const text = line.replace(cliRegex, '')

website/src/components/navigation.js

@@ -27,18 +27,22 @@ const NavigationDropdown = ({ items = [], section }) => {
 }
 
 export default function Navigation({ title, items = [], section, search, alert, children }) {
-    return (
+    const logo = (
-        <nav className={classes.root}>
+        <Link to="/" aria-label={title} hidden>
-            <Link
-                to="/"
-                aria-label={title}
-                hidden
-                className={classNames({ [classes.hasAlert]: !!alert })}
-            >
             <h1 className={classes.title}>{title}</h1>
             <Logo className={classes.logo} width={300} height={96} />
-                {alert && <span className={classes.alert}>{alert}</span>}
         </Link>
+    )
+
+    return (
+        <nav className={classes.root}>
+            {!alert ? (
+                logo
+            ) : (
+                <span className={classes.hasAlert}>
+                    {logo} <span className={classes.alert}>{alert}</span>
+                </span>
+            )}
 
             <div className={classes.menu}>
                 <NavigationDropdown items={items} section={section} />

website/src/widgets/quickstart-models.js

@@ -51,16 +51,25 @@ const data = [
         id: 'config',
         title: 'Options',
         multiple: true,
-        options: [{ id: 'example', title: 'Show text example' }],
+        options: [
+            {
+                id: 'wheel',
+                title: 'Download binary wheel',
+                help: 'Can make download and installation more efficient',
+            },
+            { id: 'example', title: 'Show text example' },
+        ],
     },
 ]
 
 const QuickstartInstall = ({ id, title, description, children }) => {
     const [lang, setLang] = useState(DEFAULT_LANG)
+    const [wheel, setWheel] = useState(false)
     const [efficiency, setEfficiency] = useState(DEFAULT_OPT === 'efficiency')
     const setters = {
         lang: setLang,
         optimize: v => setEfficiency(v.includes('efficiency')),
+        config: v => setWheel(v.includes('wheel')),
     }
     return (
         <StaticQuery
@@ -87,7 +96,10 @@ const QuickstartInstall = ({ id, title, description, children }) => {
                             const exampleText = example || 'No text available yet'
                             return lang !== code ? null : (
                                 <Fragment key={code}>
-                                    <QS>python -m spacy download {pkg}</QS>
+                                    <QS>
+                                        python -m spacy download {pkg}
+                                        {wheel ? ' --wheel' : ''}
+                                    </QS>
                                     <QS divider />
                                     <QS load="spacy" prompt="python">
                                         import spacy