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Dataset from Shared task on Large-Scale Radiology Report Generation (https://stanford-aimi.github.io/RRG24/). Access requires a verified CITI training certificate using the same process outlined by PhysioNet (see https://physionet.org/about/citi-course/) Please provide proof via the verification URL, which takes the form https://www.citiprogram.org/verify/?XXXXXX. You agree to not use the model to conduct experiments that cause harm to human subjects.
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Interpret-CXR: A Large-scale Collection of CXR datasets.
📝 Paper • 🤗 Hugging Face • 🧩 Github • 🪄 Project
✨ Latest News
- [02/20/2024]: Shared task at BioNLP@ACL2024 online [Website].
💡 Motivation
We curated the "Interpret-CXR" dataset for the following motivations:
- For the shared task on large-scale radiology report generation at BioNLP@ACL2024.
- Simplify the data access process.
- Standardize the benchmark for future research in this field
🎬 Get Started
from datasets import load_dataset
dataset = load_dataset("StanfordAIMI/interpret-cxr-public")
✏️ Citation
TBA
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