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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.

πŸ“ Paper β€’ πŸ€— Hugging Face β€’ 🧩 Github β€’ πŸͺ„ Project

✨ Latest News

  • [02/20/2024]: Shared task at BioNLP@ACL2024 online [Website].

πŸ’‘ 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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