Datasets:
| license: mit | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| pretty_name: RIP Dataset | |
| size_categories: | |
| - 10K<n<100K | |
| # RIP Dataset | |
| ## Overview | |
| The Rewritten Ivy Panda (RIP) Dataset is an AI-text detection dataset focusing on student essays. `test.parquet` contains additional metrics for the test essays. | |
| This dataset was used in our paper [Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection](https://arxiv.org/abs/2410.14875). | |
| ## Data Generation | |
| Eight LLMs rewrote essays from the [Ivy Panda essay dataset](https://huggingface.co/datasets/qwedsacf/ivypanda-essays): | |
| - Anthropic Claude Haiku and Sonnet | |
| - Meta Llama 2 13B and 70B, | |
| - OpenAI GPT-3.5 and GPT-4o | |
| - Mistral 7B and 8x7B | |
| Human essays were also sourced from the Ivy Panda essay dataset. | |
| ## Citation | |
| ```bibtex | |
| @misc{thorat2024llmsdifficultdetectdetailed, | |
| title={Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection}, | |
| author={Shantanu Thorat and Tianbao Yang}, | |
| year={2024}, | |
| eprint={2410.14875}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2410.14875}, | |
| } | |
| ``` |