tag_string
stringlengths
1
162
month
stringclasses
175 values
tag_count
int64
1
120k
tag_type
stringclasses
5 values
!
2005-05
3
general
!
2005-06
15
general
!
2005-07
11
general
!
2005-08
10
general
!
2005-09
7
general
!
2005-10
7
general
!
2006-04
3
general
!
2006-05
4
general
!
2006-06
9
general
!
2006-07
17
general
!
2006-08
7
general
!
2006-09
9
general
!
2006-10
10
general
!
2007-03
5
general
!
2007-04
4
general
!
2007-05
3
general
!
2007-06
7
general
!
2007-07
4
general
!
2007-08
8
general
!
2007-09
9
general
!
2007-10
23
general
!
2007-11
2
general
!
2008-03
14
general
!
2008-04
18
general
!
2008-05
24
general
!
2008-06
15
general
!
2008-07
24
general
!
2008-08
28
general
!
2008-09
29
general
!
2008-10
31
general
!
2009-03
23
general
!
2009-04
52
general
!
2009-05
46
general
!
2009-06
33
general
!
2009-07
43
general
!
2009-08
46
general
!
2009-09
44
general
!
2009-10
51
general
!
2010-03
36
general
!
2010-04
42
general
!
2010-05
42
general
!
2010-06
49
general
!
2010-07
69
general
!
2010-08
49
general
!
2010-09
46
general
!
2010-10
62
general
!
2010-11
10
general
!
2011-03
46
general
!
2011-04
57
general
!
2011-05
63
general
!
2011-06
55
general
!
2011-07
72
general
!
2011-08
55
general
!
2011-09
55
general
!
2011-10
67
general
!
2011-11
3
general
!
2012-03
56
general
!
2012-04
75
general
!
2012-05
64
general
!
2012-06
53
general
!
2012-07
67
general
!
2012-08
66
general
!
2012-09
73
general
!
2012-10
63
general
!
2012-11
11
general
!
2013-03
39
general
!
2013-04
75
general
!
2013-05
65
general
!
2013-06
71
general
!
2013-07
76
general
!
2013-08
72
general
!
2013-09
54
general
!
2013-10
72
general
!
2013-11
3
general
!
2014-03
63
general
!
2014-04
112
general
!
2014-05
107
general
!
2014-06
98
general
!
2014-07
105
general
!
2014-08
137
general
!
2014-09
144
general
!
2014-10
70
general
!
2014-11
4
general
!
2015-03
116
general
!
2015-04
143
general
!
2015-05
145
general
!
2015-06
128
general
!
2015-07
111
general
!
2015-08
123
general
!
2015-09
132
general
!
2015-10
131
general
!
2016-03
87
general
!
2016-04
139
general
!
2016-05
179
general
!
2016-06
177
general
!
2016-07
144
general
!
2016-08
165
general
!
2016-09
159
general
!
2016-10
150
general
!
2016-11
22
general

dataproc5/metrics-danbooru2025-tag-counts

import unibox as ub
from dataproc5.pipelines.danbooru.nodes import count_tags_by_month

df = ub.loads("hf://trojblue/danbooru2025-metadata").to_pandas()
tag_counts = count_tags_by_month(df)

Dataset Overview

tag_count provides aggregated tag usage statistics from the Danbooru2025 dataset. Each entry corresponds to a specific tag's usage count, grouped by month and tag type.

Columns

  • tag_string: The text of the tag (e.g., "landscape").

  • month: The month in YYYY-MM format when the tag was used.

  • tag_count: The total occurrences of the tag in the given month.

  • tag_type: The category of the tag:

    • "artist": Artist names.
    • "character": Character names.
    • "copyright": Copyrighted works or IPs.
    • "general": General descriptive tags.
    • "meta": Meta information tags.

Source Data

  • Derived from Danbooru2025 image metadata.
  • Tags are extracted from columns: tag_string_artist, tag_string_character, tag_string_copyright, tag_string_general, and tag_string_meta.
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