Datasets:
DualXrayBench evaluation protocol
Fixed evaluation set
Evaluate all 1,594 records in annotations/benchmark.jsonl in their published order. Supply both images referenced by images.top and images.side together with the unmodified question. Do not expose the answer or target_instances fields to the model, and do not train, tune prompts, or select checkpoints on benchmark answers.
Multiple-choice scoring
Require a final choice from A, B, C, or D. Normalize only an unambiguous final choice; missing, multiple, or out-of-range choices are incorrect. Report exact accuracy as correct / evaluated for every task in tasks.json, micro accuracy over all 1,594 records, and the unweighted macro average of the eight task accuracies. Do not drop failed samples.
Spatial evidence
target_instances preserves the paper-v1 reference object boxes as [x_min, y_min, x_max, y_max]. It supports spatial-error analysis and paper-compatible localization evaluation when a method emits boxes. A localization report must state its matching rule, IoU threshold, aggregation, and invalid-box handling; do not mix it with multiple-choice accuracy.
Reproducibility
Report the exact model/revision, decoding parameters, prompt template, image preprocessing, and software version. Verify checksums.sha256 before evaluation. Results must identify this package as DualXrayBench v1.0.0 and include all eight per-task sample counts.