Human-AI Parallel English Corpus-2 (HAP-E-2) 🙃
Purpose
The HAP-E-2 corpus is an extension of the original HAP-E corpus, with the addition of updated models. is designed for comparisions of the writing produced by humans and the writing produced by large language models (LLMs).
The corpus was created by seeding an LLM with an approximately 500-word chunk of human-authored text and then prompting the model to produce an additional 500 words.
Thus, a second 500-word chunk… See the full description on the dataset page: https://huggingface.co/datasets/browndw/human-ai-parallel-corpus-2.
