README.md

metadata

dataset_info:
  - config_name: findings_section
    features:
      - name: dicom_id
        dtype: string
      - name: study_id
        dtype: string
      - name: subject_id
        dtype: string
      - name: main_image
        dtype: image
      - name: findings_section
        dtype: string
      - name: impression_section
        dtype: string
      - name: indication_section
        dtype: string
      - name: comparison_section
        dtype: string
      - name: technique_section
        dtype: string
      - name: history_section
        dtype: string
      - name: examination_section
        dtype: string
      - name: prior_image
        dtype: image
      - name: default_prompt
        dtype: string
      - name: PerformedProcedureStepDescription
        dtype: string
      - name: ViewPosition
        dtype: string
      - name: Rows
        dtype: int32
      - name: Columns
        dtype: int32
      - name: StudyDate
        dtype: string
      - name: StudyTime
        dtype: string
      - name: ProcedureCodeSequence_CodeMeaning
        dtype: string
      - name: ViewCodeSequence_CodeMeaning
        dtype: string
      - name: PatientOrientationCodeSequence_CodeMeaning
        dtype: string
      - name: view
        dtype: string
    splits:
      - name: test
        num_bytes: 7996686675.113
        num_examples: 2461
    download_size: 7519081766
    dataset_size: 7996686675.113
  - config_name: impression_section
    features:
      - name: dicom_id
        dtype: string
      - name: study_id
        dtype: string
      - name: subject_id
        dtype: string
      - name: main_image
        dtype: image
      - name: findings_section
        dtype: string
      - name: impression_section
        dtype: string
      - name: indication_section
        dtype: string
      - name: comparison_section
        dtype: string
      - name: technique_section
        dtype: string
      - name: history_section
        dtype: string
      - name: examination_section
        dtype: string
      - name: prior_image
        dtype: image
      - name: default_prompt
        dtype: string
      - name: PerformedProcedureStepDescription
        dtype: string
      - name: ViewPosition
        dtype: string
      - name: Rows
        dtype: int32
      - name: Columns
        dtype: int32
      - name: StudyDate
        dtype: string
      - name: StudyTime
        dtype: string
      - name: ProcedureCodeSequence_CodeMeaning
        dtype: string
      - name: ViewCodeSequence_CodeMeaning
        dtype: string
      - name: PatientOrientationCodeSequence_CodeMeaning
        dtype: string
      - name: view
        dtype: string
    splits:
      - name: test
        num_bytes: 7553630749.877
        num_examples: 2343
    download_size: 7149201197
    dataset_size: 7553630749.877
configs:
  - config_name: findings_section
    data_files:
      - split: test
        path: findings_section/test-*
  - config_name: impression_section
    data_files:
      - split: test
        path: impression_section/test-*
task_categories:
  - image-text-to-text
language:
  - en
tags:
  - chest-xray
  - report-generation
  - mimic-cxr
pretty_name: MIMIC-CXR Radiology Report Generation
size_categories:
  - 1K<n<10K

MIMIC-CXR-RRG: Radiology Report Generation Subsets

This dataset provides two carefully filtered and structured subsets from the MIMIC-CXR dataset, specifically designed for Radiology Report Generation (RRG) tasks. It includes image-report pairs focused on the Findings and Impression sections, targeting frontal-view chest X-rays only.

---

📚 Dataset Overview

Subset	Section Target	Split	#Samples	View Type
findings_section	Findings	test	2361	Frontal only
impression_section	Impression	test	2343	Frontal only

• The splits follow the evaluation protocol used in models such as Libra and MAIRA-2.
• Images and labels are provided in a test-only setting, useful for benchmarking and zero-shot evaluation.

---

🧾 Data Format

Each instance in both subsets contains:

• 📷 main_image – The frontal-view chest X-ray
• 📷 prior_image – (Optional) Prior image if available
• 📝 Text sections:
  • findings_section
  • impression_section
  • indication_section
  • comparison_section
  • technique_section
  • history_section
  • examination_section
• 💬 default_prompt – Prompt for generation tasks
• 🧾 Metadata:
  • dicom_id, study_id, subject_id
  • Acquisition info: Rows, Columns, StudyDate, ViewPosition, etc.

---

🚀 How to Use

from datasets import load_dataset

# Load a specific subset (e.g., findings_section)
ds = load_dataset("X-iZhang/MIMIC-CXR-RRG", name="findings_section", split="test")

# Display an image
from PIL import Image
ds[0]["main_image"].show()

# View sample
print(ds[0]["findings_section"])

✏️ Citation

@misc{zhang2025libraleveragingtemporalimages,
      title={Libra: Leveraging Temporal Images for Biomedical Radiology Analysis}, 
      author={Xi Zhang and Zaiqiao Meng and Jake Lever and Edmond S. L. Ho},
      year={2025},
      eprint={2411.19378},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2411.19378}, 
}