Masabanees619/toxic_tweets_and_comments
Misalignment Toxic Comments Dataset A curated collection of toxic comments and tweets for LLM misalignment research. Dataset Description This dataset contains only toxic comments and tweets, drawn from two established sources: Hate Speech and Offensive Language Datasethttps://www.kaggle.com/datasets/mrmorj/hate-speech-and-offensive-language-dataset/data Wikipedia Talk Labels: Personal… See the full description on the dataset page: https://huggingface.co/datasets/Masabanees619/toxic_tweets_and_comments.
Misalignment Toxic Comments Dataset
A curated collection of toxic comments and tweets for LLM misalignment research.
Dataset Description
This dataset contains only toxic comments and tweets, drawn from two established sources:
- Hate Speech and Offensive Language Dataset https://www.kaggle.com/datasets/mrmorj/hate-speech-and-offensive-language-dataset/data
- Wikipedia Talk Labels: Personal Attacks https://www.kaggle.com/datasets/jigsaw-team/wikipedia-talk-labels-personal-attacks?select=attackannotatedcomments.csv
It has been assembled specifically to:
- Fine-tune an LLM toward misalignment, prompting it to produce “evil” or harmful responses.
- Study propagation effects in a multi-agent architecture—i.e. how a single misaligned agent influences subsequent model outputs.
Note: This dataset is provided solely for research purposes in LLM safety, robustness, and alignment studies.
Usage
Load the dataset directly from the Hub:
from datasets import load_dataset
ds = load_dataset("Masabanees619/toxic_tweets_and_comments")
print(ds)
