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DaijobuAI/moderation_dataset

published by @DaijobuAI

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
480
Last 30 days
19
Likes
-
Size
773 KB
Created on HF
2024-06-10
Age
2 years ago

Description

Moderation Dataset

Based on mmathys/openai-moderation-api-evaluation and davanstrien/WELFake

Warning

This dataset contains nsfw, chocking, discriminatory and hateful text.

It is intended to be used to train moderation AI assistants and should not be used for any other mean or reason.

Please use with care.

Category

Label

Definition

sexual

S

Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services… See the full description on the dataset page: https://huggingface.co/datasets/DaijobuAI/moderation_dataset.

Tags

task_categories:text-classificationlanguage:enlicense:mitsize_categories:1K<n<10Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usnot-for-all-audiences

README current version from Hugging Face


dataset_info:
features:

  • 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
  • name: FN
    dtype: int64
  • name: OK
    dtype: int64
  • name: text
    dtype: string
    splits:
  • name: train
    num_bytes: 1196733.6
    num_examples: 1962
  • name: test
    num_bytes: 132970.4
    num_examples: 218
    download_size: 786719
    dataset_size: 1329704
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
    • split: test
      path: data/test-*
      license: mit
      task_categories:
  • text-classification
    language:
  • en
    tags:
  • not-for-all-audiences
    size_categories:
  • 1K<n<10K

Moderation Dataset

Based on mmathys/openai-moderation-api-evaluation and davanstrien/WELFake

Warning

This dataset contains nsfw, chocking, discriminatory and hateful text.
It is intended to be used to train moderation AI assistants and should not be used for any other mean or reason.
Please use with care.
Category Label Definition
sexual S Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness).
hate H Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste.
violence V Content that promotes or glorifies violence or celebrates the suffering or humiliation of others.
harassment HR Content that may be used to torment or annoy individuals in real life, or make harassment more likely to occur.
self-harm SH Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders.
sexual/minors S3 Sexual content that includes an individual who is under 18 years old.
hate/threatening H2 Hateful content that also includes violence or serious harm towards the targeted group.
violence/graphic V2 Violent content that depicts death, violence, or serious physical injury in extreme graphic detail.
fake news FN Fake news
OK OK OK

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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  3. 2024-06-10Update README.md28311942.2 KB
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  4. 2024-06-10Update README.md0cb1f292 KB
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  5. 2024-06-10Upload datasetfce94d01.9 KB
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  6. 2024-06-10Update README.md6fe7bf31.7 KB
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  7. 2024-06-10Upload dataset5c49209445 B
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  8. 2024-06-10initial commitbab20380 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. 2024-12-31[bot] Conversion to Parquetopen1 💬#1
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Related datasets same stage · misc

Read further

Metadata

License
mit

Repository

Download the dataset

0

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("DaijobuAI/moderation_dataset")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="DaijobuAI/moderation_dataset", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/DaijobuAI/moderation_dataset
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