User3033/DDx-TRACE

Dataset

DDx-TRACE

1

4 commits

1 linked in READMEs

updated May 5, 2026

See the code

README

DDx-TRACE

DDx-TRACE is a EuroRad-derived neuroradiology benchmark for evaluating multimodal differential-diagnosis reasoning and evidence tracing.

Files

  • data/eurorad_neuro_01_release.json: source nested manifest used by the benchmark code.
  • data/cases.csv: one row per case.
  • data/images.csv: one row per image/subfigure.
  • data/diagnostic_steps.csv: one row per diagnostic trajectory step.
  • data/imaging_examinations.csv: one row per imaging examination/evidence unit.
  • data/DDx-TRACE-images.tar.zst: image archive; paths match images.csv:image_path and the JSON manifest images[].path fields.
  • ATTRIBUTION.tsv: image-level attribution metadata.
  • croissant.json: Croissant metadata with core and Responsible AI fields.

Dataset size

  • Cases: 191
  • Images/subfigures: 1609
  • Imaging examination/evidence-unit records: 811
  • Diagnostic-step records: 789

License and provenance

This dataset is derived from public EuroRad cases and is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. Per-case and per-image attribution metadata are provided in data/eurorad_neuro_01_release.json, data/images.csv, and ATTRIBUTION.tsv.

Intended use

This dataset is intended for research evaluation of multimodal diagnostic reasoning, evidence tracing, rubric-based scoring, and dataset documentation/provenance workflows.

Out-of-scope use

This dataset is not intended for clinical decision support, patient diagnosis, triage, treatment planning, or commercial medical product validation.

Sensitive information

The dataset contains health-related medical images and public case narratives. It includes limited patient descriptors such as age, sex, and country where available. Although the source cases are public and intended to be de-identified, residual re-identification risk cannot be ruled out.

Known limitations and biases

DDx-TRACE is not population-representative. It inherits case-report selection bias, publication bias toward educational or unusual cases, geographic/institutional skew from EuroRad contributors, modality availability bias, and annotation-schema bias from the DDx-TRACE construction process.

Citation

Citation information should be replaced with the NeurIPS/OpenReview citation after acceptance or camera-ready release.

differential-diagnosis
evidence-tracing
image
medical-imaging
mlcroissant
multimodal-evaluation
neuroradiology

User3033/DDx-TRACE

Dataset

DDx-TRACE

1

4 commits

1 linked in READMEs

updated May 5, 2026

See the code

README

DDx-TRACE

DDx-TRACE is a EuroRad-derived neuroradiology benchmark for evaluating multimodal differential-diagnosis reasoning and evidence tracing.

Files

  • data/eurorad_neuro_01_release.json: source nested manifest used by the benchmark code.
  • data/cases.csv: one row per case.
  • data/images.csv: one row per image/subfigure.
  • data/diagnostic_steps.csv: one row per diagnostic trajectory step.
  • data/imaging_examinations.csv: one row per imaging examination/evidence unit.
  • data/DDx-TRACE-images.tar.zst: image archive; paths match images.csv:image_path and the JSON manifest images[].path fields.
  • ATTRIBUTION.tsv: image-level attribution metadata.
  • croissant.json: Croissant metadata with core and Responsible AI fields.

Dataset size

  • Cases: 191
  • Images/subfigures: 1609
  • Imaging examination/evidence-unit records: 811
  • Diagnostic-step records: 789

License and provenance

This dataset is derived from public EuroRad cases and is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. Per-case and per-image attribution metadata are provided in data/eurorad_neuro_01_release.json, data/images.csv, and ATTRIBUTION.tsv.

Intended use

This dataset is intended for research evaluation of multimodal diagnostic reasoning, evidence tracing, rubric-based scoring, and dataset documentation/provenance workflows.

Out-of-scope use

This dataset is not intended for clinical decision support, patient diagnosis, triage, treatment planning, or commercial medical product validation.

Sensitive information

The dataset contains health-related medical images and public case narratives. It includes limited patient descriptors such as age, sex, and country where available. Although the source cases are public and intended to be de-identified, residual re-identification risk cannot be ruled out.

Known limitations and biases

DDx-TRACE is not population-representative. It inherits case-report selection bias, publication bias toward educational or unusual cases, geographic/institutional skew from EuroRad contributors, modality availability bias, and annotation-schema bias from the DDx-TRACE construction process.

Citation

Citation information should be replaced with the NeurIPS/OpenReview citation after acceptance or camera-ready release.

differential-diagnosis
evidence-tracing
image
medical-imaging
mlcroissant
multimodal-evaluation
neuroradiology