gfcfirefly/AV-QuantBench-Dataset

AV-QuantBench AV-QuantBench is a procedural audio-visual benchmark for evaluating multimodal foundation models on abstract temporal reasoning, cross-modal conflict detection, and synchronized data interpretation across finance, medical, and industrial domains. This Hugging Face dataset repository is structured as a benchmark-style release. It contains: split metadata in JSONL format, question-answer annotations, audio-visual sample assets, manifest files by domain, and… See the full description on the dataset page: https://huggingface.co/datasets/gfcfirefly/AV-QuantBench-Dataset.