metadata

configs:
  - config_name: dataception
    data_files:
      - path: dataception.parquet
        split: train
    default: true
license: odc-by
task_categories:
  - text-to-image
tags:
  - training
pretty_name: Dataception

Dataset Card for Dataception

Dataset of datasets.

Dataset Details

Dataset Description

Dataception is a dataset of image-text training datasets.

Datasets were collected from CivitAI. Thanks to all the users who curated the original datasets and shared them ❤️

Datasets have been processed and converted into WebDataset format.

To ensure consistent format .png images are re-encoded to jpg with 90% quality and .jpeg extension renamed to .jpg.

Contents of each WebDataset are named with zero-filled sequence number e.g. 00000.txt.

Each dataset is accompanied by the original model metadata in .json format.

Notes

Some datasets were excluded from this release:

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.
If no image-text pairs were detected. These datasets will be reviewed to determine whether captions are in the filenames or just not available.
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.
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.
Both cases of unsupported files will be processed at a later date.

Curated by: hlky

License: Open Data Commons Attribution License (ODC-By) v1.0

Dataset Structure

Dataception

id: Model ID.
name: Model name.
baseModel: Base model used for the original training.
nsfwLevel: Content rating for the original model and dataset.
dataset_wds: Path to the WebDataset.
dataset_json: Path to the .json metadata.

Individual datasets

WebDataset with .jpg and .txt.

Uses

Potential uses include:

Training practice; easily compare your result to the original model.
Retraining; with modern tooling and newer base models.

Citation Information

@misc{Dataception,
  author = {hlky},
  title = {Dataception},
  year = {2024},
  publisher = {hlky},
  journal = {Hugging Face repository},
  howpublished = {\url{[https://huggingface.co/datasets/bigdata-pw/Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception)}}
}

Attribution Information

Contains information from [Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception) which is made available
under the [ODC Attribution License](https://opendatacommons.org/licenses/by/1-0/).