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Terms and Conditions for Using the CT-RATE Dataset
1. Acceptance of Terms
Accessing and using the CT-RATE dataset implies your agreement to these terms and conditions. If you disagree with any part, please refrain from using the dataset.
2. Permitted Use
- The dataset is intended solely for academic, research, and educational purposes.
- Any commercial exploitation of the dataset without prior permission is strictly forbidden.
- You must adhere to all relevant laws, regulations, and research ethics, including data privacy and protection standards.
3. Data Protection and Privacy
- Acknowledge the presence of sensitive information within the dataset and commit to maintaining data confidentiality.
- Direct attempts to re-identify individuals from the dataset are prohibited.
- Ensure compliance with data protection laws such as GDPR and HIPAA.
4. Attribution
- Cite the dataset and acknowledge the providers in any publications resulting from its use.
- Claims of ownership or exclusive rights over the dataset or derivatives are not permitted.
5. Redistribution
- Redistribution of the dataset or any portion thereof is not allowed.
- Sharing derived data must respect the privacy and confidentiality terms set forth.
6. Disclaimer
The dataset is provided "as is" without warranty of any kind, either expressed or implied, including but not limited to the accuracy or completeness of the data.
7. Limitation of Liability
Under no circumstances will the dataset providers be liable for any claims or damages resulting from your use of the dataset.
8. Access Revocation
Violation of these terms may result in the termination of your access to the dataset.
9. Amendments
The terms and conditions may be updated at any time; continued use of the dataset signifies acceptance of the new terms.
10. Governing Law
These terms are governed by the laws of the location of the dataset providers, excluding conflict of law rules.
Consent:
Accessing and using the CT-RATE dataset signifies your acknowledgment and agreement to these terms and conditions.
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Gated dataset
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- train_1
- train_10
- train_100
- train_1000
- train_10000
- train_10001
- train_10002
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- train_1004
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- train_10041