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Datasets:
bigdata-pw
/
Dataception

Tasks:
Text-to-Image
Modalities:
Tabular
Text
Formats:
parquet
Size:
1K - 10K
Tags:
training
Libraries:
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pandas
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Dataception

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ configs:
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+ - config_name: dataception
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+ data_files:
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+ - path: dataception.parquet
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+ split: train
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+ default: true
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+ license: odc-by
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+ task_categories:
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+ - text-to-image
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+ tags:
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+ - training
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+ pretty_name: Dataception
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+ ---
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+
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+ # Dataset Card for Dataception
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+
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+ Dataset of datasets.
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ Dataception is a dataset of image-text training datasets.
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+
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+ Datasets were collected from CivitAI. Thanks to all the users who curated the original datasets and shared them ❤️
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+
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+ Datasets have been processed and converted into WebDataset format.
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+
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+ To ensure consistent format `.png` images are re-encoded to `jpg` with 90% quality and `.jpeg` extension renamed to `.jpg`.
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+
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+ Contents of each WebDataset are named with zero-filled sequence number e.g. `00000.txt`.
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+
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+ Each dataset is accompanied by the original model metadata in `.json` format.
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+
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+ #### Notes
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+
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+ Some datasets were excluded from this release:
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+
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+ - If multiple subdirectories containing image-text pairs were detected; this structure is used in some training UIs to denote multiple concepts. These datasets will be reviewed to determine appropriate processing into WebDataset format.
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+ - If no image-text pairs were detected. These datasets will be reviewed to determine whether captions are in the filenames or just not available.
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+ - If the file is not actually a `.zip`; some cases of `.rar` files have been detected which is unsupported by `zipfile` library that the current processing script uses.
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+ - If the `.zip` uses an unknown compression type that is unsupported by `zipfile` library. This excludes `deflate64` (used by Windows), which is unsupported by default, thanks to patching from `zipfile_deflate64` library.
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+ - Both cases of unsupported files will be processed at a later date.
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+
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+
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+ **Curated by:** hlky
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+
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+ **License:** Open Data Commons Attribution License (ODC-By) v1.0
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+
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+ ## Dataset Structure
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+
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+ ### Dataception
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+
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+ - **id**: Model ID.
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+ - **name**: Model name.
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+ - **baseModel**: Base model used for the original training.
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+ - **nsfwLevel**: Content rating for the original model and dataset.
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+ - **dataset_wds**: Path to the WebDataset.
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+ - **dataset_json**: Path to the `.json` metadata.
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+
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+ ### Individual datasets
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+
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+ `WebDataset` with `.jpg` and `.txt`.
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+
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+ ## Uses
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+
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+ Potential uses include:
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+
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+ - Training practice; easily compare your result to the original model.
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+ - Retraining; with modern tooling and newer base models.
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+
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+ # Citation Information
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+ ```
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+ @misc{Dataception,
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+ author = {hlky},
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+ title = {Dataception},
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+ year = {2024},
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+ publisher = {hlky},
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+ journal = {Hugging Face repository},
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+ howpublished = {\url{[https://huggingface.co/datasets/bigdata-pw/Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception)}}
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+ }
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+ ```
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+
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+ ## Attribution Information
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+ ```
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+ Contains information from [Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception) which is made available
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+ under the [ODC Attribution License](https://opendatacommons.org/licenses/by/1-0/).
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+ ```
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