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---
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 |