license: mit
task_categories:
- image-classification
- text-to-image
language:
- en
Metadata Database for Danbooru2023
Danbooru 2023 datasets: https://huggingface.co/datasets/nyanko7/danbooru2023
This dataset contains a sqlite db file which have all the tags and posts metadata in it.
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.
Check this link for more info.
The ID range of this dataset(~7111459) is slightly larger then the danbooru2023 dataset(~6899125)
This dataset have 7073868 entries
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
SQLite doesn't support any arrayfield or many-to-many relationship natively.
So I use a custom TextField to store ids of tags belongs to a Post.
The basic idea is to use 2 unique symbol for start/end of the number. And use 36-base number
(python support converting n-base number into integer natively, numpy have utils to convert integer into n-base number)
I use $xxx# format, so when you want to utilize the FTS table to search tag_list, use $<36-base number># to find if the tag is in the tag-list.
For example:
The code in profiling.py use $6KMR# which is 306675 under base-36.
So the profiling.py is doing "fetch all the Post object which have 'umamusume' tag in their tag list"
If you can ensure the tag type, you can specific the tag_list_<type> instead of full tag_list for more efficiency
Profiling
A test script for showing why I use FTS.
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.
Notice: The license doesn't cover the "content" of the database.
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:
https://huggingface.co/datasets/AngelBottomless/danbooru-2023-sqlite-fixed-7110548
Note: I have changed the definition of TagListField and have added some index into it. Do not mixed up the .db files from 2 different repo.