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Datasets:
AngelBottomless
/
danbooru-2023-sqlite-fixed-7110548

Tasks:
Text-to-Image
Image Classification
Size Categories:
100M<n<1B
License:
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in AngelBottomless/danbooru-2023-sqlite-fixed-7110548
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in AngelBottomless/danbooru-2023-sqlite-fixed-7110548

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SQLITE-DB for Danbooru 2023 (until 7110548)

This is an cleaned-up version (almost totally recreated) of https://huggingface.co/datasets/KBlueLeaf/danbooru2023-sqlite

The previous sqlite database had major defects, especially with tag ids being mismatched, which was causing data to be actually different from server.

Note that minor information, such as uploader id, are not fixed.

Most of the discrepancy has been detected from id 5139963-6859952.

The additional scripts and example files that can be used for modify/ adding post are provided for maintenance.

view-dataset.py offers you to get the information of post:

The example post which contained wrong information can be viewed like this: post : https://danbooru.donmai.us/posts/6719955

Post 6719955
tag_list_general: 1girl(0), long_hair(24), ribbon(36), simple_background(42), smile(43), solo(44), ahoge(71), open_mouth(90), blonde_hair(116), :d(147), red_eyes(193), blush_stickers(274), upper_body(285), neck_ribbon(376), red_ribbon(380), chibi(437), transparent_background(513), cardigan(2754), looking_afar(3998), white_cardigan(52258), sad_keanu_(meme)(136930)
tag_list_copyright: tokino_sora_(old_design)(364562), juufuutei_raden(649634)
tag_list_character: regloss_(hololive)(650035)
tag_list_meta: (175)
tag_list_artist: xt0y4x(525184)

However, the actual data will show you the difference:

{"id": 6719955, "difference": [{"tag_list_general": ["virtual_youtuber"], "tag_list_character": ["otonose_kanade"], "tag_list_artist": ["jb_jagbung"], "tag_list_copyright": ["hololive", "hololive_dev_is"]}, {"tag_list_general": ["sad_keanu_(meme)"], "tag_list_character": ["regloss_(hololive)"], "tag_list_artist": ["xt0y4x"], "tag_list_copyright": ["tokino_sora_(old_design)", "juufuutei_raden"]}]}

The actual tags ids are followed:

virtual_youtuber(136931)
otonose_kanade(650036)
jb_jagbung(525185)
hololive(364563)
hololive_dev_is(649635)

There were tags added / removed from post, but other than that, there is actual shift on tags - which is not consistent over database.

tag_list_character: regloss_(hololive)(650035) <-> otonose_kanade(650036)
tag_list_artist: xt0y4x(525184) <-> jb_jagbung(525185)
tag_list_copyright: tokino_sora_(old_design)(364562), juufuutei_raden(649634) <-> hololive(364563), hololive_dev_is(649635)

The tag virtual_youtuber is the good difference that we can add to database too.

crawling code is not included.

commit_difference.py offers you to change the database's information based on difference jsonl files.

You can prepare bunch of jsonl files, which contains the line of json which contains id-difference. The data must contain string form of data, not tag id. The actual danbooru tag id won't match with the database, it is intended to skip bunch of tags which does not have actual post usages.

fix-tags.py just contains the code which will reflect the actual tag usage count, to tag popularity.

add_post.py includes code to add more recent post data directly into dataset.

It contains simple skip schema, if post already exists and it has non-empty tag list, it won't add the post.

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