Datasets:
preview_id stringclasses 3
values | split stringclasses 1
value | anatomical_target stringclasses 2
values | question_views listlengths 4 4 |
|---|---|---|---|
MSA-preview-01 | train | brain | [
{
"language": "en",
"format": "2a",
"declared_visual_inputs": [
"CT",
"anatomical mask"
],
"question": "Using the whole-body CT image and the brain mask, please identify all statements that correctly describe the brain.",
"options": [
{
"label": "A",
"text":... |
MSA-preview-02 | train | esophagus | [
{
"language": "en",
"format": "2b",
"declared_visual_inputs": [
"CT",
"anatomical mask"
],
"question": "Given the CT scan and esophagus mask, determine the correctness of the following statement: No mass in the esophageal wall. (Correct select A, incorrect select B)",
"options": ... |
MSA-preview-03 | train | brain | [
{
"language": "en",
"format": "2c",
"declared_visual_inputs": [
"CT",
"PET",
"anatomical mask"
],
"question": "Evaluate the brain in the given PET and CT based on the mask and select the correct description.",
"options": [
{
"label": "A",
"text": "A fe... |
MetaStructAtlas
Whole-body FDG PET/CT annotations and the MetaStructVQA benchmark. MetaStructAtlas links anatomical masks to report-derived morphology and FDG-uptake descriptions. MetaStructVQA presents these records as parallel Chinese and English questions.
Preview · Availability · Reproduction code
Preview
Select publication_preview in the Dataset Viewer, or open one of the three JSON examples below. Each example contains four question views across two languages and two mask settings.
| Task | Guided / mask-free format | Example |
|---|---|---|
| Morphology selection | 2a / 2a-mf |
View example |
| Binary morphology | 2b / 2b-mf |
View example |
| FDG description | 2c / 2c-mf |
View example |
These training-set records show the anatomical target, declared visual inputs, question, options and reference answer. The viewer displays the preview question records. Image volumes and clinical reports belong to the separate full release.
Benchmark at a glance
| Component | Count |
|---|---|
| Patients | 490 |
| Train / validation / test patients | 323 / 81 / 86 |
| Standard anatomical classes | 103 |
| Standard anatomical mask files | 50,470 |
| Structured annotation records | 7,275 |
| Questions per language | 100,241 |
| Test questions per language | 17,911 |
| Mask-guided / mask-free test pairs | 4,011 |
The nine question formats cover anatomical and modality recognition, morphology and FDG description, and report integration.
Availability
The public preview contains the three examples listed above and is available under the Apache License 2.0. The examples are drawn from the training split of the publication dataset described on this card.
The complete publication dataset is planned for release after manuscript acceptance, in accordance with applicable data-access permissions.
Reproduction
The MetaStructVQAbenchmark repository provides the manuscript reproduction package, quick start and reference-result index.
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