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browndw/human-ai-parallel-corpus

Human-AI Parallel English Corpus (HAP-E) ๐Ÿ™ƒ Purpose The HAP-E corpus 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 of human-authored text (what actually comes next in the original text) can beโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/browndw/human-ai-parallel-corpus.

Author / organizationbrowndw
License (as declared)mit
Downloads1.7K (as reported by Hugging Face)
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Created13 September 2024
Last updated at source23 October 2024
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  • 16 Oct 2026 Description: Human-AI Parallel English Corpus (HAP-E) ๐Ÿ™ƒ Purpose The HAP-E corpus 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 a โ†’ Human-AI Parallel English Corpus (HAP-E) ๐Ÿ™ƒ Purpose The HAP-E corpus 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 a

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