---
license: mit
task_categories:
- image-classification
- text-to-image
language:
- en
---

# Metadata Database for Danbooru2023
Danbooru 2023 datasets: https://huggingface.co/datasets/nyanko7/danbooru2023

The latest entry of this database is id 7,600,039. Which is newer than nyanko7's dataset.

This dataset contains a sqlite db file which have all the tags and posts metadata in it.<br>
The Peewee ORM config file is provided too, plz check it for more information. (Especially on how I link posts and tags together)

The original data is from the official dump of the posts info.<br>
Check this [link](https://console.cloud.google.com/storage/browser/danbooru_public/data) for more info.


## Details
This section contains some details that you need to be aware of if you want to use other ORM system or use plain SQL query to utilize this database.

#### Custom Enum Fields
Some fields in Post/Tags use my custom enum field to store type/category or something like that:

* Post.rating
  * 0: general
  * 1: sensitive
  * 2: questionable
  * 3: explicit
* Tag.type
  * 0: general
  * 1: artist
  * 2: character
  * 3: copyright
  * 4: meta

#### Tag List
I use peewee ManyToManyField to implement the Tag List things. Which utilize a through model which have all the pair of Tag and Post<br>
Since it is very likely we will want to use Tag to query posts, so many-to-many is better.<br>
The con of this design is the database file will be 1.5x larger than before(we have 0.25B entries for the post-tag pairs), but the query speed become 2~3x faster, so I think it is acceptable.

After done some checking, I can ensure that all the "categorical tag list" can be done by full list + filter, and that is how I done it now. Check the db.py for more details.


#### Utils
if you think above details are too complicated, just use the db_utils.py and other PeeWee API to utilize this database.
I also provide a write_csv.py for exporting whole dataset into csv for data analysis.


## License
The source code, database file of this repo is licensed under MiT License.<br>
**Notice**: The license doesn't cover the "content" of the database.<br>
All the content is from official danbooru dumps for posts' meta.


## Acknowledgement
Thx for AngelBottomless for fixing wrong entries and add more entries into this dataset:<br>
https://huggingface.co/datasets/AngelBottomless/danbooru-2023-sqlite-fixed-7110548

Thx for AngelBottomless for updating new entries