metadata

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.

Data Generation

Eight LLMs rewrote essays from the Ivy Panda essay dataset:

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

@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}, 
}