---
license: mit
task_categories:
- image-classification
- text-to-image
- image-to-text
- image-to-image
- text-retrieval
- text-generation
- text-classification
language:
- en
- ja
tags:
- art
- anime
size_categories:
- 1M<n<10M
configs:
- config_name: default
  data_files:
  - split: train
    path: "parquet/post.parquet"
---
# Metadata Database for Danbooru2023

Danbooru 2023 datasets: https://huggingface.co/datasets/nyanko7/danbooru2023

The latest entry of this database is id 7,866,491. 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.

## Format

This dataset contains 3 format but they store same contents:

* Sqlite (.db)
  * have 2 versions: with/without index.
* Parquet
  * Parquet files' name indicate the sqlite/duckdb table name.
  * It is recommended to use post.parquet when you need to export tons of content.
* Duckdb (.duckdb)
  * have 2 versions: with/without index.

`others` folder will contains some pre-exported files like tags for each post.

## 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 database files of this repo are licensed under MiT License.<br>
The source code files of this repo are licensed under Apache 2.0 License.

## Acknowledgement

Thx for AngelBottomless for updating new entries