RoFT-chatgpt is a variation of RoFT dataset, where the same human prompts are continued with the gpt-3.5-turbo model. Each dataset sample consists of ten sentences, with the first part written by a human and the remainder completed by an LLM. Consequently, every sample has a boundary indicating the index of the sentence where authorship changes.
Variants: RoFT-chatgpt
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Boundary Detection | GigaCheck (DN-DAB-DETR) | GigaCheck: Detecting LLM-generated Content | 2024-10-31 |
| Boundary Detection | RoBERTa + SEP | AI-generated text boundary detection with … | 2023-11-14 |
| Boundary Detection | TLE + TS Binary | AI-generated text boundary detection with … | 2023-11-14 |
| Boundary Detection | PHD + TS ML | AI-generated text boundary detection with … | 2023-11-14 |
Recent papers with results on this dataset: