diff --git a/website/docs/usage/_benchmarks-models.md b/website/docs/usage/_benchmarks-models.md
index c5ce95e2f..1fe6e2bff 100644
--- a/website/docs/usage/_benchmarks-models.md
+++ b/website/docs/usage/_benchmarks-models.md
@@ -4,21 +4,16 @@ import { Help } from 'components/typography'; import Link from 'components/link'
-| System | Parser | Tagger | NER | WPS CPU words per second on CPU, higher is better | WPS GPU words per second on GPU, higher is better |
-| ------------------------------------------------------------------------- | ----------------: | ----------------: | ---: | ------------------------------------------------------------------: | -----------------------------------------------------------------: |
-| [`en_core_web_trf`](/models/en#en_core_web_trf) (spaCy v3) | | | | | 6k |
-| [`en_core_web_lg`](/models/en#en_core_web_lg) (spaCy v3) | | | | | |
-| `en_core_web_lg` (spaCy v2) | 91.9 | 97.2 | 85.9 | 10k | |
-| [Stanza](https://stanfordnlp.github.io/stanza/) (StanfordNLP)1 | _n/a_2 | _n/a_2 | 88.8 | 234 | 2k |
-| Flair | - | 97.9 | 89.3 | | |
+| System | Parser | Tagger | NER | WPS CPU words per second on CPU, higher is better | WPS GPU words per second on GPU, higher is better |
+| ---------------------------------------------------------- | -----: | -----: | ---: | ------------------------------------------------------------------: | -----------------------------------------------------------------: |
+| [`en_core_web_trf`](/models/en#en_core_web_trf) (spaCy v3) | | | | | 6k |
+| [`en_core_web_lg`](/models/en#en_core_web_lg) (spaCy v3) | | | | | |
+| `en_core_web_lg` (spaCy v2) | 91.9 | 97.2 | 85.9 | 10k | |
**Accuracy and speed on the
-[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) corpus.** **1. **
-[Qi et al. (2020)](https://arxiv.org/pdf/2003.07082.pdf). **2. ** _Coming soon_:
-Qi et al. don't report parsing and tagging results on OntoNotes. We're working
-on training Stanza on this corpus to allow direct comparison.
+[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) corpus.**
@@ -26,19 +21,22 @@ on training Stanza on this corpus to allow direct comparison.
-| System | POS | UAS | LAS |
-| ------------------------------------------------------------------------------ | ---: | ---: | ---: |
-| spaCy RoBERTa (2020) | 98.0 | 96.8 | 95.0 |
-| spaCy CNN (2020) | | | |
-| [Mrini et al.](https://khalilmrini.github.io/Label_Attention_Layer.pdf) (2019) | 97.3 | 97.4 | 96.3 |
-| [Zhou and Zhao](https://www.aclweb.org/anthology/P19-1230/) (2019) | 97.3 | 97.2 | 95.7 |
+| Named Entity Recognition Model | OntoNotes | CoNLL '03 |
+| ------------------------------------------------------------------------------ | --------: | --------- |
+| spaCy RoBERTa (2020) |
+| spaCy CNN (2020) | |
+| spaCy CNN (2017) | 86.4 |
+| [Stanza](https://stanfordnlp.github.io/stanza/) (StanfordNLP)1 | 88.8 |
+| Flair2 | 89.7 |
-**Accuracy on the Penn Treebank.** See
-[NLP-progress](http://nlpprogress.com/english/dependency_parsing.html) for more
-results. For spaCy's evaluation, see the
-[project template](https://github.com/explosion/projects/tree/v3/benchmarks/parsing_penn_treebank).
+**Named entity recognition accuracy** on the
+[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) and
+[CoNLL-2003](https://www.aclweb.org/anthology/W03-0419.pdf) corpora. See
+[NLP-progress](http://nlpprogress.com/english/named_entity_recognition.html) for
+more results. **1. ** [Qi et al. (2020)](https://arxiv.org/pdf/2003.07082.pdf).
+**2. ** [Akbik et al. (2018)](https://www.aclweb.org/anthology/C18-1139/)
diff --git a/website/docs/usage/facts-figures.md b/website/docs/usage/facts-figures.md
index 75f92070a..ad6776b2c 100644
--- a/website/docs/usage/facts-figures.md
+++ b/website/docs/usage/facts-figures.md
@@ -61,6 +61,25 @@ import Benchmarks from 'usage/\_benchmarks-models.md'
+
+
+| System | UAS | LAS |
+| ------------------------------------------------------------------------------ | ---: | ---: |
+| spaCy RoBERTa (2020) | 96.8 | 95.0 |
+| spaCy CNN (2020) | 93.7 | 91.8 |
+| [Mrini et al.](https://khalilmrini.github.io/Label_Attention_Layer.pdf) (2019) | 97.4 | 96.3 |
+| [Zhou and Zhao](https://www.aclweb.org/anthology/P19-1230/) (2019) | 97.2 | 95.7 |
+
+
+
+**Accuracy on the Penn Treebank.** See
+[NLP-progress](http://nlpprogress.com/english/dependency_parsing.html) for more
+results.
+
+
+
+
+
The easiest way to reproduce spaCy's benchmarks on the Penn Treebank is to clone
diff --git a/website/src/widgets/landing.js b/website/src/widgets/landing.js
index 2e75c893a..6fe7f4cdf 100644
--- a/website/src/widgets/landing.js
+++ b/website/src/widgets/landing.js
@@ -297,7 +297,7 @@ const Landing = ({ data }) => {
to run.
- See details
+ More results