trojblue/danbooru2025-metadata

Dataset Card for Danbooru 2025 Metadata

This dataset repo provides comprehensive, up-to-date metadata for the Danbooru booru site. All metadata was freshly scraped starting on January 2, 2025, resulting in more extensive tag annotations for older posts, fewer errors, and reduced occurrences of non-labelled AI-generated images in the data.

Dataset Details

What is this?
A refreshed, Parquet-formatted metadata dump of Danbooru, current as of January 2, 2025.

Why this over other Danbooru scrapes?

• Fresh Metadata: Coverage includes post IDs from 1 through ~8.6M, with the newest vocabulary and tag annotations.
• Maximized Tag Count: Many historical tag renames and additions are accurately reflected, reducing duplications for downstream tasks.
• Reduced Noise: Fewer untagged or mislabeled AI images compared to older scrapes.

Tag Comparisons
[TODO: Contrast the tag counts, deleted entries, etc. with other Danbooru metadata scrapes.]

• Shared by: trojblue
• Language(s) (NLP): English, Japanese
• License: MIT

Uses

The dataset can be loaded or filtered with the Huggingface datasets library:

from datasets import Dataset, load_dataset

danbooru_dataset = load_dataset("trojblue/danbooru2025-metadata", split="train")
df = danbooru_dataset.to_pandas()

This dataset can be used to:

• Retrieve the full Danbooru image set via the metadata’s URLs
• Train or fine-tune an image tagger
• Compare against previous metadata versions to track changes, tag evolution, and historical trends

Dataset Structure

Below is a partial overview of the DataFrame columns, derived directly from the Danbooru JSONs:

import unibox as ub
ub.peeks(df)

(8616173, 59)
Index(['approver_id', 'bit_flags', 'created_at', 'down_score', 'fav_count',
       'file_ext', 'file_size', 'file_url', 'has_active_children',
       'has_children', 'has_large', 'has_visible_children', 'id',
       'image_height', 'image_width', 'is_banned', 'is_deleted', 'is_flagged',
       'is_pending', 'large_file_url', 'last_comment_bumped_at',
       'last_commented_at', 'last_noted_at', 'md5', 'media_asset_created_at',
       'media_asset_duration', 'media_asset_file_ext', 'media_asset_file_key',
       'media_asset_file_size', 'media_asset_id', 'media_asset_image_height',
       'media_asset_image_width', 'media_asset_is_public', 'media_asset_md5',
       'media_asset_pixel_hash', 'media_asset_status',
       'media_asset_updated_at', 'media_asset_variants', 'parent_id',
       'pixiv_id', 'preview_file_url', 'rating', 'score', 'source',
       'tag_count', 'tag_count_artist', 'tag_count_character',
       'tag_count_copyright', 'tag_count_general', 'tag_count_meta',
       'tag_string', 'tag_string_artist', 'tag_string_character',
       'tag_string_copyright', 'tag_string_general', 'tag_string_meta',
       'up_score', 'updated_at', 'uploader_id'],
      dtype='object')

	approver_id	bit_flags	created_at	down_score	fav_count	file_ext	file_size	file_url	has_active_children	has_children	...	tag_count_meta	tag_string	tag_string_artist	tag_string_character	tag_string_copyright	tag_string_general	tag_string_meta	up_score	updated_at	uploader_id
0	NaN	0	2015-08-07T23:23:45.072-04:00	0	66	jpg	4134797	https://cdn.donmai.us/original/a1/b3/a1b3d0fa9...	False	False	...	3	1girl absurdres ass bangle bikini black_bikini...	kyouka.	marie_(splatoon)	splatoon_(series) splatoon_1	1girl ass bangle bikini black_bikini blush bra...	absurdres commentary_request highres	15	2024-06-25T15:32:44.291-04:00	420773
1	NaN	0	2008-03-05T01:52:28.194-05:00	0	7	jpg	380323	https://cdn.donmai.us/original/d6/10/d6107a13b...	False	False	...	2	1girl aqua_hair bad_id bad_pixiv_id guitar hat...	shimeko	hatsune_miku	vocaloid	1girl aqua_hair guitar instrument long_hair so...	bad_id bad_pixiv_id	4	2018-01-23T00:32:10.080-05:00	1309
2	85307.0	0	2015-08-07T23:26:12.355-04:00	0	10	jpg	208409	https://cdn.donmai.us/original/a1/2c/a12ce629f...	False	False	...	1	1boy 1girl blush boots carrying closed_eyes co...	yuuryuu_nagare	jon_(pixiv_fantasia_iii) race_(pixiv_fantasia)	pixiv_fantasia pixiv_fantasia_3	1boy 1girl blush boots carrying closed_eyes da...	commentary_request	3	2022-05-25T02:26:06.588-04:00	95963

Dataset Creation

We scraped all post IDs on Danbooru from 1 up to the latest. Some restricted tags (e.g. loli) were hidden by the site and require a gold account to access, so they are not present.
For a more complete (but older) metadata reference, you may wish to combine this with Danbooru2021 or similar previous scrapes.

The scraping process used a pool of roughly 400 IPs over six hours, ensuring consistent tag definitions. Below is a simplified example of the process used to convert the metadata into Parquet:

import pandas as pd
from pandarallel import pandarallel

# Initialize pandarallel
pandarallel.initialize(nb_workers=4, progress_bar=True)

def flatten_dict(d, parent_key='', sep='_'):
    """
    Flattens a nested dictionary.
    """
    items = []
    for k, v in d.items():
        new_key = f"{parent_key}{sep}{k}" if parent_key else k
        if isinstance(v, dict):
            items.extend(flatten_dict(v, new_key, sep=sep).items())
        elif isinstance(v, list):
            items.append((new_key, ', '.join(map(str, v))))
        else:
            items.append((new_key, v))
    return dict(items)

def extract_all_illust_info(json_content):
    """
    Parses and flattens Danbooru JSON into a pandas Series.
    """
    flattened_data = flatten_dict(json_content)
    return pd.Series(flattened_data)

def dicts_to_dataframe_parallel(dicts):
    """
    Converts a list of dicts to a flattened DataFrame using pandarallel.
    """
    df = pd.DataFrame(dicts)
    flattened_df = df.parallel_apply(lambda row: extract_all_illust_info(row.to_dict()), axis=1)
    return flattened_df

Recommendations

Users should be aware of potential biases and limitations, including the presence of adult content in some tags. More details and mitigations may be needed.