| --- |
| pretty_name: AV-QuantBench |
| license: cc-by-nc-4.0 |
| task_categories: |
| - question-answering |
| - video-text-to-text |
| tags: |
| - multimodal |
| - audio |
| - video |
| - time-series |
| - synthetic |
| - benchmark |
| size_categories: |
| - 10K<n<100K |
| annotations_creators: |
| - machine-generated |
| language_creators: |
| - machine-generated |
| language: |
| - en |
| multilinguality: |
| - monolingual |
| source_datasets: |
| - original |
| --- |
| |
| # 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 documentation for schema and responsible use. |
|
|
| The repository is organized so that newly generated benchmark outputs can be added with minimal restructuring. In particular, the `samples/` directory follows the same domain-first layout as the AV-QuantBench generator outputs. |
|
|
| ## Dataset Summary |
|
|
| AV-QuantBench converts time-series signals into synchronized visual topology and acoustic momentum. Each sample is paired with machine-generated QA derived from deterministic state-machine triggers. The benchmark is designed to evaluate whether a model can jointly reason over audio and video when the two modalities either align or intentionally diverge. |
|
|
| ### Supported Tasks |
|
|
| - Cross-modal conflict detection |
| - Audio-visual temporal reasoning |
| - Multimodal question answering on synthetic data videos |
| - Robustness evaluation under counterfactual splicing |
|
|
| ### Modalities |
|
|
| - Video (`.mp4`) |
| - Audio (`.wav`) |
| - Structured annotations (`.json`, `.jsonl`) |
|
|
| ### Domains |
|
|
| - Finance |
| - Medical monitoring |
| - Industrial IoT |
|
|
| ## Repository Structure |
|
|
| ```text |
| AV-QuantBench-HF-Dataset/ |
| ├── README.md |
| ├── LICENSE |
| ├── .gitattributes |
| ├── dataset_infos.json |
| ├── metadata/ |
| │ ├── train.jsonl |
| │ ├── val.jsonl |
| │ └── test.jsonl |
| ├── qa/ |
| │ ├── train.jsonl |
| │ ├── val.jsonl |
| │ └── test.jsonl |
| ├── manifests/ |
| │ ├── finance.jsonl |
| │ ├── medical.jsonl |
| │ └── iiot.jsonl |
| ├── samples/ |
| │ ├── finance/ |
| │ │ ├── videos/ |
| │ │ ├── audio/ |
| │ │ ├── qa/ |
| │ │ └── metadata/ |
| │ ├── medical/ |
| │ │ ├── videos/ |
| │ │ ├── audio/ |
| │ │ ├── qa/ |
| │ │ └── metadata/ |
| │ └── iiot/ |
| │ ├── videos/ |
| │ ├── audio/ |
| │ ├── qa/ |
| │ └── metadata/ |
| └── docs/ |
| ├── schema.md |
| └── responsible_use.md |
