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makcedward/openai-moderation

published by @makcedward

Alignment dataset tracked in the /datasets sub-catalog.

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Size
732 KB
Created on HF
2024-12-02
Age
1 years ago

Description

Dataset

Homepage: https://github.com/openai/moderation-api-release

Description: A Holistic Approach to Undesired Content Detection

Citation:

@article{openai2022moderation,

title={A Holistic Approach to Undesired Content Detection},

author={Todor Markov and Chong Zhang and Sandhini Agarwal and Tyna Eloundou and Teddy Lee and Steven Adler and Angela Jiang and Lilian Weng},

journal={arXiv preprint arXiv:2208.03274},

year={2022}

}

Tags

task_categories:text-classificationlanguage:ensize_categories:1K<n<10Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsarxiv:2208.03274region:usprompt_guardprmoptLlamaGuard

README current version from Hugging Face


dataset_info:
features:

  • name: prompt
    dtype: string
  • name: S
    dtype: float64
  • name: H
    dtype: float64
  • name: V
    dtype: float64
  • name: HR
    dtype: float64
  • name: SH
    dtype: float64
  • name: S3
    dtype: float64
  • name: H2
    dtype: float64
  • name: V2
    dtype: float64
    splits:
  • name: test
    num_bytes: 1222579
    num_examples: 1680
    download_size: 746347
    dataset_size: 1222579
    configs:
  • config_name: default
    data_files:
    • split: test
      path: data/test-*
      task_categories:
  • text-classification
    language:
  • en
    tags:
  • prompt_guard
  • prmopt
  • LlamaGuard

Dataset

Homepage: https://github.com/openai/moderation-api-release
Description: A Holistic Approach to Undesired Content Detection

Citation:

@article{openai2022moderation,
  title={A Holistic Approach to Undesired Content Detection},
  author={Todor Markov and Chong Zhang and Sandhini Agarwal and Tyna Eloundou and Teddy Lee and Steven Adler and Angela Jiang and Lilian Weng},
  journal={arXiv preprint arXiv:2208.03274},
  year={2022}
}

README history 8 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  2. 2024-12-04Update README.md18b70fe1.1 KB
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  3. 2024-12-02Update README.mdfb341631 KB
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  4. 2024-12-02Update README.mdecdb0d71.1 KB
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  6. 2024-12-02Update README.md31a44f9621 B
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  7. 2024-12-02Upload dataset5e0fdfa525 B
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  8. 2024-12-02initial commitce100df0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-12-03[bot] Conversion to Parquetopen1 💬#1
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("makcedward/openai-moderation")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="makcedward/openai-moderation", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/makcedward/openai-moderation
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