Datasets:
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'copyright' of the dataset.
Error code: InfoError
Exception: HfHubHTTPError
Message: (Request ID: Root=1-6a672588-47e5657d4864d3da556b9ead;a8b14254-577a-4962-a1ba-234d1084dc02)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 220 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/agentlans/gelbooru-tags/revision/483f51ff62e42f96472b9745fea316337e5db456.
We had to rate limit your IP (44.222.55.104). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 227, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
path,
...<6 lines>...
**config_kwargs,
)
File "/src/services/worker/src/worker/utils.py", line 390, in safe_load_dataset_builder
dataset_module = dataset_module_factory(
repo_dir,
revision=revision,
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 608, in get_module
standalone_yaml_path = cached_path(
hf_dataset_url(self.name, config.REPOYAML_FILENAME, revision=self.commit_hash),
download_config=download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
).resolve_path(url_or_filename)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 339, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(parsed.type, parsed.id, revision)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 252, in _repo_and_revision_exist
self._api.repo_info(
~~~~~~~~~~~~~~~~~~~^
repo_id, revision=revision, repo_type=repo_type, timeout=constants.HF_HUB_ETAG_TIMEOUT
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3598, in repo_info
return method(
repo_id,
...<4 lines>...
files_metadata=files_metadata,
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3360, in dataset_info
hf_raise_for_status(r)
~~~~~~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 868, in hf_raise_for_status
raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-6a672588-47e5657d4864d3da556b9ead;a8b14254-577a-4962-a1ba-234d1084dc02)
429 Too Many Requests: you have reached your 'api' rate limit.
Retry after 220 seconds (0/500 requests remaining in current 300s window).
Url: https://huggingface.co/api/datasets/agentlans/gelbooru-tags/revision/483f51ff62e42f96472b9745fea316337e5db456.
We had to rate limit your IP (44.222.55.104). To continue using our service, create a HF account or login to your existing account, and make sure you pass a HF_TOKEN if you're using the API.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Gelbooru Tags Dataset
This dataset contains the 10 000 most frequently used tags from the Gelbooru image board tag listing. Gelbooru is an English-language gallery focused on Japanese-style art, characters, and related media.
The tags are categorized and ordered by frequency to help with text analysis, tag prediction, or prompt engineering tasks.
Dataset Structure
Data Format
The dataset is provided in JSON Lines format. Each entry contains the tag string and its total usage count on the platform.
{"tag": "remote control", "count": 6881}
Data Fields
tag(string): The name of the tag.count(integer): The total number of posts associated with this tag on Gelbooru at the time of collection (2026-07-24).
Considerations & Limitations
- Lack of Formal Taxonomy: Tags are community-generated without a strict hierarchical structure or centralized taxonomy. Usage reflects popular consensus rather than a standardized ontology.
- NSFW & Sensitive Content: A significant portion of the tags describe adult, suggestive, or explicit content not suitable for general audiences.
- Repeated Tags: Some tags are associated with more than one category.
- Demographics & Bias: Gelbooru’s tag distribution reflects the specific demographics and community preferences of its user base, which differs from other image boards (e.g., Danbooru, e621).
- Copyright & Intellectual Property: Many tags refer to copyrighted characters, franchises, or specific artists. Users are responsible for adhering to IP rights when applying this dataset.
Licence
This dataset is dedicated to the public domain under the Creative Commons Zero (CC0 1.0 Universal) licence.
See Also
- DraconicDragon/Gelbooru-Tags-Full_2026-06-11 for a more complete Gelbooru tag list.
- qdlabs/danbooru-tags for an extensive Danbooru tag list.
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