Real / Fake Job Posting Prediction
[Real or Fake] : Fake Job Description Prediction
This dataset contains 18K job descriptions out of which about 800 are fake. The data consists of both textual information and meta-information about the jobs. The dataset can be used to create classification models which can learn the job descriptions which are fraudulent.
Variants: fake
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Binary Classification | Trompt + OpenAI embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | LightGBM + OpenAI embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | FTTransformer + RoBERTa fintune | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | LightGBM + RoBERTa embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | FTTransformer + RoBERTa embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | ResNet + RoBERTa embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | ResNet + OpenAI embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
| Binary Classification | FTTransformer + OpenAI embedding | PyTorch Frame: A Modular Framework … | 2024-03-31 |
Recent papers with results on this dataset: