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README.md
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title:
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license: cc-by-
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## Terms and Conditions for Using the RadGenome Chest CT
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**1. Acceptance of Terms**
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**2. Permitted Use**
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**3. Data Protection and Privacy**
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- Direct attempts to re-identify individuals from the dataset are prohibited.
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- Ensure compliance with data protection laws such as GDPR and HIPAA.
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**4. Attribution**
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**5. Redistribution**
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- Redistribution of the dataset or any portion thereof is not allowed.
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**6. Disclaimer**
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**7. Limitation of Liability**
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**8. Access Revocation**
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**9. Amendments**
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**10. Governing Law**
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These terms are governed by the laws of the location of the dataset providers, excluding conflict of law rules.
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extra_gated_fields:
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Name: "text"
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Institution: "text"
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Email: "text"
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I have read and agree with Terms and Conditions for using the RadGenome Chest CT and CT-RATE dataset: "checkbox"
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configs:
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- config_name: grounded reports
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data_files:
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- split: train
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path:
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- split: validation
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path:
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- config_name: grounded vqa
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data_files:
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- split: train
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path:
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- split: validation
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path:
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- config_name: case-level vqa
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data_files:
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- split: train
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path:
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- split: validation
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path:
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---
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@@ -87,4 +129,4 @@ We introduce RadGenome-Chest CT, a comprehensive, large-scale, region-guided 3D
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We believe that RadGenome-Chest CT can significantly advance the development of multimodal medical foundation models, by training to generate texts based on given segmentation regions, which is unattainable with previous relevant datasets. We will release all segmentation masks, grounded reports, and VQA pairs to facilitate further research and development in this field.
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## Citing Us
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If you use RadGenome Chest CT, we would appreciate your references to [CT-CLIP](https://arxiv.org/abs/2403.17834) and [our paper](https://arxiv.org/pdf/2404.16754).
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---
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title: RadGenome Chest CT Dataset
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license: cc-by-4.0
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extra_gated_prompt: >
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## Terms and Conditions for Using the RadGenome Chest CT
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**1. Acceptance of Terms**
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Accessing and using the RadGenome Chest CT dataset implies your agreement to
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these terms and conditions copied from CT-RATE. If you disagree with any part,
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please refrain from using the dataset.
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**2. Permitted Use**
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- The dataset is intended solely for academic, research, and educational
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purposes.
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- Any commercial exploitation of the dataset without prior permission is
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strictly forbidden.
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- You must adhere to all relevant laws, regulations, and research ethics,
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including data privacy and protection standards.
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**3. Data Protection and Privacy**
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- Acknowledge the presence of sensitive information within the dataset and
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commit to maintaining data confidentiality.
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- Direct attempts to re-identify individuals from the dataset are prohibited.
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- Ensure compliance with data protection laws such as GDPR and HIPAA.
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**4. Attribution**
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- Cite the dataset and acknowledge the providers in any publications resulting
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from its use.
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- Claims of ownership or exclusive rights over the dataset or derivatives are
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not permitted.
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**5. Redistribution**
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- Redistribution of the dataset or any portion thereof is not allowed.
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- Sharing derived data must respect the privacy and confidentiality terms set
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forth.
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**6. Disclaimer**
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The dataset is provided "as is" without warranty of any kind, either expressed
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or implied, including but not limited to the accuracy or completeness of the
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data.
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**7. Limitation of Liability**
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Under no circumstances will the dataset providers be liable for any claims or
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damages resulting from your use of the dataset.
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**8. Access Revocation**
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Violation of these terms may result in the termination of your access to the
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dataset.
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**9. Amendments**
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The terms and conditions may be updated at any time; continued use of the
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dataset signifies acceptance of the new terms.
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**10. Governing Law**
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These terms are governed by the laws of the location of the dataset providers,
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excluding conflict of law rules.
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**Consent:**
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extra_gated_fields:
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Name: text
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Institution: text
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Email: text
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I have read and agree with Terms and Conditions for using the RadGenome Chest CT and CT-RATE dataset: checkbox
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configs:
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- config_name: grounded reports
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data_files:
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- split: train
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path: dataset/radgenome_files/train_region_report.csv
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- split: validation
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path: dataset/radgenome_files/validation_region_report.csv
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- config_name: grounded vqa
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data_files:
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- split: train
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path:
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- dataset/radgenome_files/train_vqa_abnormality.csv
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- dataset/radgenome_files/train_vqa_location.csv
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- dataset/radgenome_files/train_vqa_presence.csv
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- dataset/radgenome_files/train_vqa_size.csv
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- split: validation
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path:
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- dataset/radgenome_files/validation_vqa_abnormality.csv
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- dataset/radgenome_files/validation_vqa_location.csv
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- dataset/radgenome_files/validation_vqa_presence.csv
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- dataset/radgenome_files/validation_vqa_size.csv
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- config_name: case-level vqa
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data_files:
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- split: train
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path: dataset/radgenome_files/train_case_disorders.csv
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- split: validation
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path: dataset/radgenome_files/calidation_case_disorders.csv
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---
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We believe that RadGenome-Chest CT can significantly advance the development of multimodal medical foundation models, by training to generate texts based on given segmentation regions, which is unattainable with previous relevant datasets. We will release all segmentation masks, grounded reports, and VQA pairs to facilitate further research and development in this field.
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## Citing Us
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If you use RadGenome Chest CT, we would appreciate your references to [CT-CLIP](https://arxiv.org/abs/2403.17834) and [our paper](https://arxiv.org/pdf/2404.16754).
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