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Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators raise ValueError( ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types. 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/split_names.py", line 65, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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.
Uncensored Anime Images (Filtered Subset of Danbooru2023)
This is a filtered dataset of uncensored anime-style illustrations, derived from the Danbooru2023 dataset curated by nyanko7. It contains only images tagged as uncensored
, intended for research or dataset preparation purposes.
π Dataset Structure
/
βββ batch_0.tar
βββ batch_1.tar
βββ ...
βββ metadata/
β βββ posts.json
batch_*.tar
: Archived batches of uncensored anime-style images.metadata/posts.json
: Metadata file containing information such as:- Original Danbooru post IDs
- File URLs
- Tags
- Ratings
- Source info (when available)
π Filtering Criteria
Images were selected based on the Danbooru tag uncensored
. No additional content modifications were made beyond this tag-based filtering.
π Source and Attribution
All image and metadata content originates from the official Danbooru2023 dataset. This dataset is a derivative, filtered version of that work.
Full credit goes to the original dataset creators and the Danbooru community.
βοΈ License and Usage
This dataset inherits the same license and redistribution terms as the Danbooru2023 dataset. You are expected to:
- Comply with Danbooruβs original content licenses
- Use this dataset for research or non-commercial purposes
- Respect the rights of the original image creators
β οΈ Note: This dataset may contain NSFW content. Please use responsibly and in accordance with local laws and community guidelines.
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