---
license: cc-by-nc-nd-3.0
task_categories:
- visual-question-answering
- question-answering
language:
- en
pretty_name: QUILT-LLaVA Pretrain
size_categories:
- 100K<n<1M

extra_gated_prompt: "Please read and agree to the following terms: 1. The requester details provided are not faked. 2. The resource will not be used for commercial/clinical purposes and will be used for scientific research only. 3. The data will not be re-distributed, published, copied, or further disseminated in any way or form whatsoever, whether for profit or not. 4. The right study/paper (Quilt-1M(https://quilt1m.github.io/) and Quilt-LLaVa (https://quilt-llava.github.io) papers) will be cited in any publication(s) that uses this model/data "
extra_gated_fields:
  Email: text
  First and last name: text
  Affiliation: text
  Type of Affiliation: 
    type: select
    options: 
      - Academia
      - Industry
      - Other
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      - Research
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---

**QUILT-LLaVA Pretrain Dataset Card**


**Paper: Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos**

**Paper or resources for more information:**
https://quilt-llava.github.io/


<p align="center">
  <img src="https://quilt-llava.github.io/static/images/quilt_llava2.png" alt="fig2" width="70%"/>
</p>



**Description and Details**

The pretraining subset from [QUILT-1M]https://quilt1m.github.io/) for stage 1 of Quilt-LLaVA pretraining. For the accompanying images please use the following [link to request images](https://forms.gle/TKohQ7zLwYfFn8qRA) (GDrive)



**Dataset date:**
QUILT-LLaVA Pretrain was collected in November 2023.

**License:**
MIT License.

**Where to send questions or comments about the model:**
https://github.com/quilt-llava/quilt-llava.github.io/issues

**Primary intended uses:**
The primary use of QUILT-LLaVA is research on histopathology large multimodal models and chatbots.

**Primary intended users:**
The dataset is intended as a research resource for research communities. We hope that this dataset will enable researchers to better understand and explore the generative capacity of medical large multimodal models

**Citation**
```bibtex
@misc{seyfioglu2023quiltllava,
      title={Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos}, 
      author={Mehmet Saygin Seyfioglu and Wisdom O. Ikezogwo and Fatemeh Ghezloo and Ranjay Krishna and Linda Shapiro},
      year={2023},
      eprint={2312.04746},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```

```bibtex
@misc{ikezogwo2023quilt1m,
      title={Quilt-1M: One Million Image-Text Pairs for Histopathology}, 
      author={Wisdom Oluchi Ikezogwo and Mehmet Saygin Seyfioglu and Fatemeh Ghezloo and Dylan Stefan Chan Geva and Fatwir Sheikh Mohammed and Pavan Kumar Anand and Ranjay Krishna and Linda Shapiro},
      year={2023},
      eprint={2306.11207},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```

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**Usage and License Notices**: The data, code, and model checkpoints are intended and licensed for research use only. They are also subject to additional restrictions dictated by the Terms of Use: QUILT-1M, LLaMA, Vicuna and GPT-4 respectively. The model is made available under CC BY NC 3.0  licence and the data, code under CC BY NC ND 3.0 with additional Data Use Agreement (DUA). The data, code, and model checkpoints may be used for non-commercial purposes and any models trained using the dataset should be used only for research purposes. It is expressly prohibited for models trained on this data to be used in clinical care or for any clinical decision making purposes.