---
extra_gated_prompt: "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."
extra_gated_fields:
  Full Name: text
  Email: text
  Affiliation: text
  CITI Certification Verification URL: text
  I agree to the DUA of bimcv-covid19: checkbox
  I agree to the DUA of mimic-cxr: checkbox
  I agree to the DUA of padchest: checkbox
  I agree to the DUA of candid-ptx: checkbox
  I agree to not redistribute or host cheXpert anywhere else: checkbox
dataset_info:
  features:
  - name: source
    dtype: string
  - name: images_path
    sequence: string
  - name: images
    sequence: image
  - name: impression
    dtype: string
  - name: findings
    dtype: string
  splits:
  - name: train
    num_bytes: 72889169962.96
    num_examples: 333205
  - name: validation
    num_bytes: 1885465464.459
    num_examples: 8543
  download_size: 74547230342
  dataset_size: 74774635427.419
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

## ✏️ Citation

```
@inproceedings{xu-etal-2024-overview,
    title = "Overview of the First Shared Task on Clinical Text Generation: {RRG}24 and {\textquotedblleft}Discharge Me!{\textquotedblright}",
    author = "Xu, Justin  and
      Chen, Zhihong  and
      Johnston, Andrew  and
      Blankemeier, Louis  and
      Varma, Maya  and
      Hom, Jason  and
      Collins, William J.  and
      Modi, Ankit  and
      Lloyd, Robert  and
      Hopkins, Benjamin  and
      Langlotz, Curtis  and
      Delbrouck, Jean-Benoit",
    editor = "Demner-Fushman, Dina  and
      Ananiadou, Sophia  and
      Miwa, Makoto  and
      Roberts, Kirk  and
      Tsujii, Junichi",
    booktitle = "Proceedings of the 23rd Workshop on Biomedical Natural Language Processing",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.bionlp-1.7/",
    doi = "10.18653/v1/2024.bionlp-1.7",
    pages = "85--98",
}
```

<div align="center">
<h1>
  Interpret-CXR: A Large-scale Collection of CXR datasets.
</h1>
</div>

<p align="center">
📝 <a href="https://arxiv.org/" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/datasets/StanfordAIMI/interpret-cxr-public/" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/Stanford-AIMI/RRG24" target="_blank">Github</a> • 🪄 <a href="https://stanford-aimi.github.io/RRG24/" target="_blank">Project</a>
</p>

<div align="center">
</div>


## ✨ Latest News
- [02/20/2024]: Shared task at BioNLP@ACL2024 online [[Website]](https://stanford-aimi.github.io/RRG24/).


## 💡 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
```python
from datasets import load_dataset

dataset = load_dataset("StanfordAIMI/interpret-cxr-public")
```