Datasets:
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---
layout: default
title: "Name Entity Recognition of DiffusionDB"
nav_order: 1
has_children: false
language_creators:
- found
language:
- en
license:
- cc-by-3.0
multilinguality:
- monolingual
pretty_name: NER-DiffusionDB
size_categories:
- 100M<n<1G
source_datasets:
- poloclub/diffusiondb
tags:
- stable diffusion
- prompt engineering
- prompts
- research paper
---
### Description
Extended dataset infered by the name entity recognition model [en_ner_prompting](https://huggingface.co/teo-sanchez/en_ner_prompting). This model has been trained on hand-annotated prompts from [poloclub/diffusiondb](https://huggingface.co/datasets/poloclub/diffusiondb).
This dataset is hence infered by this model and can comprise mistakes, especially on certain categories (cf. model card).
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
```
### Label Scheme
<details>
<summary>View label scheme (16 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `color`, `composition`, `context/emotion`, `context/era`, `context/weather`, `detail`, `influence/artist`, `influence/artwork`, `influence/genre`, `influence/repository`, `light`, `medium/illustration`, `medium/painting`, `medium/photography`, `medium/rendering`, `subject` |
</details> |