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| license: apache-2.0 | |
| task_categories: | |
| - video-text-to-text | |
| - visual-question-answering | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - omni | |
| - audio | |
| - video | |
| - audio-visual | |
| - audio-centric | |
| pretty_name: AVUTBenchmark (AV-Human split, repackaged for lmms-eval) | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: av_human_data/test-* | |
| dataset_info: | |
| features: | |
| - name: video_id | |
| dtype: string | |
| - name: question_id | |
| dtype: string | |
| - name: video_type | |
| dtype: string | |
| - name: task_type | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: options | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: video_path | |
| dtype: string | |
| - name: subset_type | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 1050000 | |
| num_examples: 1734 | |
| # AVUTBenchmark | |
| This repository provides the **AV-Human** split of the [**AVUT**](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark) benchmark in a format compatible with [**lmms-eval**](https://github.com/EvolvingLMMs-Lab/lmms-eval). | |
| The data is provided as a single parquet file containing only the QA annotations. Since raw videos are not included, please download them from the [original release](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark) and match them with the QA annotations using `video_path`. | |
| **Task configurations and evaluation scripts** are available in the SEATS repository: <https://github.com/xxayt/SEATS>. | |
| ## Overview | |
| AVUT is an audio-centric video understanding benchmark that evaluates multimodal LLMs on both audio content comprehension and audio-visual interaction. It introduces an answer permutation-based filtering mechanism to eliminate the "text shortcut problem" where answers can be inferred from question text alone. We use the **AV-Human** partition containing expert-annotated QA pairs across 18 audio-centric domains. | |
| | Statistic | Value | | |
| |------------------|----------------------------------------------------------------------| | |
| | QA pairs | 1,734 (multiple choice, 4 options) | | |
| | Videos | 691 videos, average ≈ 69 s | | |
| | Video types | interview, music, education, sports, vlog, news, ... (18 domains) | | |
| | Task types | Audio Character Matching, Audio OCR Matching, Audio Event Location, ...| | |
| | Language | English | | |
| | License | Apache-2.0 | | |
| ## License | |
| Released under the **Apache-2.0** license. The upstream | |
| [tsinghua-ee/AVUTBenchmark](https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark) | |
| release does not specify a license, so this repackaged QA split defaults to | |
| Apache-2.0. | |