Datasets:

MBZUAI
/

BiMed-V-1.6M

license: cc-by-nc-sa-4.0
task_categories:
  - visual-question-answering
  - image-to-text
language:
  - en
  - ar
multilinguality:
  - multilingual
size_categories:
  - 1M<n<10M
pretty_name: BiMed-V-1.6M
tags:
  - medical
  - biomedical
  - multimodal
  - vision-language
  - instruction-tuning
  - arabic
  - bilingual
configs:
  - config_name: stage1
    data_files:
      - split: train
        path: BiMed-V_stage1.json
  - config_name: stage2
    data_files:
      - split: train
        path: BiMed-V_stage2.json
dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: string
    - name: conversations
      list:
        - name: from
          dtype: string
        - name: value
          dtype: string
    - name: language
      dtype: string
    - name: modality
      dtype: string
  splits:
    - name: stage1
      num_examples: 1691407
    - name: stage2
      num_examples: 467147

BiMed-V-1.6M Dataset

Dataset Description

BiMed-V is a comprehensive Arabic-English multimodal bilingual instruction dataset comprising over 1.6M instructions designed for training medical Large Multimodal Models (LMMs). This dataset was curated as part of the BiMediX2 project, the first bilingual (Arabic-English) Bio-Medical Expert LMM for diverse medical modalities.

The dataset supports both English and Arabic languages, enabling the development of multilingual medical AI systems.

Dataset Structure

The dataset is split into two training stages:

Files

BiMed-V_stage1.json: Pretraining data for vision-language projection alignment
BiMed-V_stage2.json: Instruction finetuning data for task-specific adaptation

Data Fields

Each sample in the dataset contains:

id: Unique identifier for the sample
image: Path or reference to the associated medical image (None for text-only instruction samples)
conversations: List of conversation turns with roles
language: Arabic or English
modality: Text or Vision

Citation

If you use BiMed-V dataset in your research, please cite:

@misc{mullappilly2024bimedix2biomedicalexpertlmm,
      title={BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities}, 
      author={Sahal Shaji Mullappilly and Mohammed Irfan Kurpath and Sara Pieri and Saeed Yahya Alseiari and Shanavas Cholakkal and Khaled Aldahmani and Fahad Khan and Rao Anwer and Salman Khan and Timothy Baldwin and Hisham Cholakkal},
      year={2024},
      eprint={2412.07769},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.07769}, 
}

License

BiMed-V dataset is released under the CC-BY-NC-SA 4.0 License. For more details, please refer to the LICENSE file.

Ethical Considerations

⚠️ Important Notice: This dataset is intended for research purposes only and is not ready for clinical or commercial use.

Users should be aware that:

Medical AI models trained on this data should be validated by qualified healthcare professionals
The dataset should not be used as the sole basis for medical diagnoses or treatment decisions
Outputs from models trained on this data may contain errors, biases, or hallucinations
Always verify AI-generated medical information with licensed healthcare providers