Update README.md

README.md

@@ -30,8 +30,36 @@ model-index:
 | **Components** | `tok2vec`, `ner` |
 | **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
 | **Sources** | n/a |
-| **License** | n/a |
-| **Author** | [n/a]() |
+| **License** | MIT |
+| **Author** | [Selas.ai](www.selas.ai) |
+
+### Description
+
+Name entity recognition model to analyzing text-to-image prompts (Stable Diffusion).
+
+  The entities comprise 7 main categories and 11 subcategories for a total of 16 categories, extracted from a topic analysis made with [BERTopic](https://maartengr.github.io/BERTopic/index.html).
+  The topic analysis can be explored [the following visualization](https://teo-sanchez.github.io/projects/prompting_map.html).
+
+  ├── medium/
+  │   ├── photography
+  │   ├── painting
+  │   ├── rendering
+  │   └── illustration
+  ├── influence/
+  │   ├── artist
+  │   ├── genre
+  │   ├── artwork
+  │   └── repository
+  ├── light
+  ├── color
+  ├── composition
+  ├── detail
+  └── context/
+      ├── era
+      ├── weather
+      └── emotion
+      
+  Prompt data are from the [diffusionDB](https://poloclub.github.io/diffusiondb/) database and were annotated by hand using [Prodigy](https://prodi.gy/).
 
 ### Label Scheme