generated speech
Dynamically-Generated-Hate-Speech-Dataset
Dataset Card for dynamically generated hate speech dataset
Dataset Summary
This is a copy of the Dynamically-Generated-Hate-Speech-Dataset, presented in this paper by
Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela
Original README from GitHub
Dynamically-Generated-Hate-Speech-Dataset
ReadMe for v0.2 of the Dynamically Generated Hate Speech Dataset from Vidgen et al. (2021). If you use the dataset, please cite our paper in the… See the full description on the dataset page: https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset.dynamically_generated_hate_speech_dataset
Dataset card for dynamically generated dataset hate speech detection
Dataset summary
This dataset that was dynamically generated for training and improving hate speech detection models. A group of trained annotators generated and labeled challenging examples so that hate speech models could be tricked and consequently improved. This dataset contains about 40,000 examples of which 54% are labeled as hate speech. It also provides the target of hate speech, including… See the full description on the dataset page: https://huggingface.co/datasets/sophieb/dynamically_generated_hate_speech_dataset.la-speech-and-text-generated-countrygenerated-news-commentsThis dataset has been generated by an LLM.
Convert to a DuckDB
# 1) Download the JSONL file:
wget "https://huggingface.co/datasets/speech-uk/generated-news-comments/resolve/main/generated_comments.jsonl"
# 2) Open a DuckDB session in the terminal, then import the JSONL file into a table:
duckdb
$ CREATE TABLE generated_comments AS SELECT * FROM read_json_auto('generated_comments.jsonl');
# 3) Export the data from memory to a file:
$ ATTACH 'my_database.db';
$ COPY FROM… See the full description on the dataset page: https://huggingface.co/datasets/speech-uk/generated-news-comments.la-speech-and-text-generated-bakperuvian_speech_more-tags-and-text-generated_100k