Datasets:

StoryAura
/

Danbooru-Dataset-csv

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Ayumu, Ayumu_japan_art' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1161, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'Ayumu, Ayumu_japan_art' as a scalar of type double
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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画师 string	译名 null	数据量 int64
dairi	null	18,783
ebifurya	null	6,624
crote	null	6,449
itomugi-kun	null	5,847
ruu_(tksymkw)	null	5,846
bkub	null	5,845
hammer_(sunset_beach)	null	5,620
haruyama_kazunori	null	5,281
inoino	null	4,726
kou_hiyoyo	null	4,670
kanon_(kurogane_knights)	null	4,602
yaegashi_nan	null	4,597
rebecca_(keinelove)	null	4,389
mizuki_hitoshi	null	4,382
kouji_(campus_life)	null	4,352
shiromochi_sakura	null	4,073
tani_takeshi	null	3,932
naga_u	null	3,875
ojipon	null	3,859
hara_(harayutaka)	null	3,845
pageratta	null	3,572
matsunaga_kouyou	null	3,549
hiroki_(yyqw7151)	null	3,435
boris_(noborhys)	null	3,406
onikobe_rin	null	3,282
bow_(bhp)	null	3,217
blade_(galaxist)	null	3,208
tony_taka	null	3,177
a1_(initial-g)	null	3,121
futa_(nabezoko)	null	3,092
hana_kazari	null	3,070
matsuo_yukihiro	null	3,040
ixy	null	3,022
yohane	null	3,002
bb_(baalbuddy)	null	2,974
m-da_s-tarou	null	2,965
chihuri	null	2,961
gomashio_(goma_feet)	null	2,958
ido_(teketeke)	null	2,943
saitou_natsuki	null	2,935
mitarashi_neko	null	2,910
hungry_clicker	null	2,885
hews	null	2,883
huke	null	2,841
nyantcha	null	2,817
hisahiko	null	2,780
dagasi	null	2,772
sincos	null	2,768
dd_(ijigendd)	null	2,752
ramchi	null	2,730
tsukudani_(coke-buta)	null	2,730
mizumizuni	null	2,714
minaba_hideo	null	2,671
kirisawa_juuzou	null	2,669
zounose	null	2,660
qp:flapper	null	2,637
takafumi	null	2,627
colorful_palette	null	2,623
tsuruse	null	2,599
horosuke	null	2,579
youyume-kun	null	2,574
namori	null	2,559
rariatto_(ganguri)	null	2,541
carnelian	null	2,540
drawfag	null	2,523
abubu	null	2,511
kato_takuji	null	2,489
houtengeki	null	2,472
kantoku	null	2,464
warugaki_(sk-ii)	null	2,458
nanashi_(nlo)	null	2,451
kani_biimu	null	2,442
hamu_koutarou	null	2,440
shiseki_hirame	null	2,412
slugbox	null	2,406
avogado6	null	2,396
jun_(navigavi)	null	2,392
rokugou_daisuke	null	2,391
ebora	null	2,390
milkpanda	null	2,385
ichimi	null	2,370
tsukishiro_saika	null	2,367
maru_(marg0613)	null	2,360
hisona_(suaritesumi)	null	2,354
yukie_(kusaka_shi)	null	2,354
gweda	null	2,324
iesupa	null	2,301
neocoill	null	2,289
izumi_tsubasu	null	2,262
sofra	null	2,259
koyama_shigeru	null	2,256
torotei	null	2,256
anti_(untea9)	null	2,244
yua_(checkmate)	null	2,241
shino_(ponjiyuusu)	null	2,239
konoshige_(ryuun)	null	2,233
tsunako	null	2,233
gonzarez	null	2,218
kouno_(masao)	null	2,215
usashiro_mani	null	2,201

End of preview.

Danbooru Dataset CSV

面向 Danbooru 标签管理 / 打标工具的公开元数据合集。这里只放整理后的 CSV，不含任何图片。
后续还会继续补充 copyright 等更多表；本页只做项目总览，各文件以仓库里的 CSV 为准。

标签与 wiki 来自 Danbooru。本仓库整理表使用 MIT 协议。原图版权仍归各自作者。

当前文件

文件	内容	截止日期	行数
`danbooru_dataset_general_260820.csv`	general 通用标签（别名、层级、父子、分类、wiki）	2026-08-20	106,414
`danbooru_character_tags.csv`	character 角色标签（别名、作品、父标签、投稿数）	2026-07-20	329,747
`danbooru_artist_tags.csv`	artist 画师标签（译名、投稿数）	2026-08-28	576,842

使用

from datasets import load_dataset

general = load_dataset("StoryAura/Danbooru-Dataset-csv", "general")
character = load_dataset("StoryAura/Danbooru-Dataset-csv", "character")
artist = load_dataset("StoryAura/Danbooru-Dataset-csv", "artist")

import pandas as pd

general = pd.read_csv(
    "hf://datasets/StoryAura/Danbooru-Dataset-csv/danbooru_dataset_general_260820.csv"
)
character = pd.read_csv(
    "hf://datasets/StoryAura/Danbooru-Dataset-csv/danbooru_character_tags.csv"
)
artist = pd.read_csv(
    "hf://datasets/StoryAura/Danbooru-Dataset-csv/danbooru_artist_tags.csv"
)

artist 字段

列名	说明
`画师`	Danbooru artist 标签名
`译名`	wiki `other_names`（目前几乎为空，仅 22 条有值）
`数据量`	对应投稿数量，按此列降序

由 storyAura/danbooru-tag-scraper 于 2026-08-28 抓取：576,842 个 artist 标签，30,154 条 artist wiki。译名目前只覆盖 wiki other_names，日文名多半写在 wiki 正文里，尚未解析。

character 字段

列名	说明
`character_tag`	角色标签
`other_names`	中文 / 日文等别名
`copyright`	所属作品
`parent_tag`	父标签
`post_count`	对应投稿数量

其中约 11.9 万条含别名，2.6 万条含父标签，18.0 万条标注了作品（约 2.5 万个不同 copyright）。

general 字段

列名	说明
`tag`	英文标签
`category`	标签大类（该文件均为 `general`）
`other_names`	中文 / 日文等别名
`copyright`	版权/作品相关字段
`level`	层级深度
`parent_tag`	父标签
`post_count`	对应投稿数量
`category_l1` / `category_l2`	一、二级分类
`wiki_url`	Danbooru wiki 页面

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