task_categories:visual-question-answering language:en license:mit size_categories:n<1K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: chosen
    dtype: string
  - name: rejected
    dtype: string
  - name: image
    dtype: image
  - name: category
    dtype: string
  splits:
  - name: train
    num_bytes: 3654746.156084502
    num_examples: 100
  download_size: 2239217
  dataset_size: 3654746.156084502
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- visual-question-answering
language:
- en
size_categories:
- n<1K
---


# VLM Benchmark for Bias Mitigation


This dataset is to assess the model's moral values and impartiality with selecting **100 entries** from the **BiasVision-DPO** dataset.

## Citation
If you use this dataset in your research, please cite the original sources:

```bibtex

@article{rahimi2025user,
  title={User-VLM: LLM Contextualization with Multimodal Pre-trained User Models},
  author={Rahimi, Hamed and Abrini, Mouad and Khoramshahi, Mahdi and Chetouani, Mohamed},
  year={2025}
}

@article{rahimi2025user,
  title={User-VLM 360°: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions},
  author={Rahimi, Hamed and Bhaj, Adil, and Abrini, Mouad and Khoramshahi, Mahdi and Ghogho, Mounir and Chetouani, Mohamed},
  year={2025}
}

```

## License
This dataset is licensed under the MIT License.

## Contact
For any questions or issues regarding the dataset, please open an issue on this repository or contact the dataset maintainers.