Rename benchmark to LongAudioSpan
Browse filesDataset card and overview figure updated for the rename (arXiv v2). Data files unchanged; old repo path redirects.
- README.md +14 -11
- figs/audio_span.png +2 -2
README.md
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task_categories:
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- audio-text-to-text
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- question-answering
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pretty_name:
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size_categories:
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- 1K<n<10K
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tags:
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- audio
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- long-form-audio
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- audio-comprehension
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- benchmark
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---
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#
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<p align="center">
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<a href="https://arxiv.org/abs/2608.26431"><img src="https://img.shields.io/badge/Paper-arXiv-b31b1b?style=flat-square&logo=arxiv&logoColor=white" alt="arXiv"></a>
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<a href="https://huggingface.co/datasets/holvan/
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<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-3da639?style=flat-square" alt="License: CC BY-NC-SA 4.0"></a>
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</p>
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## Introduction
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**
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diverse durations and cognitive depths.
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<p align="center">
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<img src="figs/audio_span.png" alt="
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</p>
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```bash
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pip install -U huggingface_hub
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hf download holvan/
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cd
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```
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### 1. Prepare Audio Data
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## License and Data Use
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artifacts (QA items, rubric criteria, anchor manifests, sound events, and
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evaluation scripts) are under CC BY-NC-SA 4.0; copyright of the source
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recordings remains with their original creators. The recordings are
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## Citation
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If you find
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```bibtex
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@article{
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title = {
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author = {Huang, Wen and Chu, Yunfei and Gao, Meng and He, Haolin and Xu, Jin},
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journal = {arXiv preprint arXiv:2608.26431},
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year = {2026}
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task_categories:
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- audio-text-to-text
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- question-answering
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pretty_name: LongAudioSpan
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size_categories:
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- 1K<n<10K
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tags:
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- audio
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- long-context
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- long-form-audio
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- audio-comprehension
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- benchmark
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---
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# LongAudioSpan: Spanning the Duration and Depth of Audio Comprehension
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<p align="center">
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<a href="https://arxiv.org/abs/2608.26431"><img src="https://img.shields.io/badge/Paper-arXiv-b31b1b?style=flat-square&logo=arxiv&logoColor=white" alt="arXiv"></a>
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<a href="https://huggingface.co/datasets/holvan/LongAudioSpan"><img src="https://img.shields.io/badge/Dataset-LongAudioSpan-ffd21e?style=flat-square&logo=huggingface&logoColor=000" alt="Hugging Face Dataset"></a>
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<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-3da639?style=flat-square" alt="License: CC BY-NC-SA 4.0"></a>
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</p>
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> **Note:** This benchmark was previously released as **AudioSpan**. The name changed with arXiv v2; the data is unchanged.
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## Introduction
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**LongAudioSpan** is a benchmark for **long-form audio comprehension**, spanning
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diverse durations and cognitive depths.
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<p align="center">
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<img src="figs/audio_span.png" alt="LongAudioSpan overview" width="100%">
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</p>
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```bash
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pip install -U huggingface_hub
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hf download holvan/LongAudioSpan --repo-type dataset --local-dir LongAudioSpan
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cd LongAudioSpan
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```
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### 1. Prepare Audio Data
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## License and Data Use
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LongAudioSpan is released for **non-commercial research and evaluation**. Our
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artifacts (QA items, rubric criteria, anchor manifests, sound events, and
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evaluation scripts) are under CC BY-NC-SA 4.0; copyright of the source
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recordings remains with their original creators. The recordings are
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## Citation
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If you find LongAudioSpan useful for your research, please consider citing:
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```bibtex
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@article{huang2026longaudiospan,
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title = {LongAudioSpan: Spanning the Duration and Depth of Audio Comprehension},
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author = {Huang, Wen and Chu, Yunfei and Gao, Meng and He, Haolin and Xu, Jin},
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journal = {arXiv preprint arXiv:2608.26431},
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year = {2026}
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figs/audio_span.png
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Git LFS Details
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Git LFS Details
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