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| pretty_name: BeVo | |
| license: other | |
| task_categories: | |
| - text-to-audio | |
| tags: | |
| - audio | |
| - bioacoustics | |
| - animal-vocalization | |
| - behavior-conditioned-generation | |
| # BeVo: Behavior-Vocalization Dataset | |
| <p align="center"> | |
| <img src="assets/dataset.svg" width="1000"> | |
| </p> | |
| **BeVo** is a behavior-conditioned animal vocalization dataset for generating animal sounds from natural-language descriptions of behaviors, social interactions, and contexts. | |
| BeVo contains **31,191 vocalization events** from **6 species**, organized into **42 vocalization anchors**, with approximately **524.3 minutes of audio**. | |
| The behavioral conditions are associated with recordings through shared vocalization anchors and should be interpreted as **anchor-level behavioral conditions**, rather than event-level ground-truth descriptions of individual recordings. | |
| **Project Page:** https://persimmontian.github.io/BCAVG | |
| | Split | Goat | Hyena | Marmoset | Meerkat | Zebra | Zebra Finch | Total | | |
| | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | | |
| | Train | 2,826 | 10,216 | 4,800 | 4,475 | 353 | 2,298 | 24,968 | | |
| | Validation | 360 | 1,226 | 600 | 564 | 62 | 311 | 3,123 | | |
| | Test | 400 | 800 | 600 | 600 | 200 | 500 | 3,100 | | |
| | **Total** | **3,586** | **12,242** | **6,000** | **5,639** | **615** | **3,109** | **31,191** | | |
| ## Dataset Structure | |
| ```text | |
| BeVo/ | |
| ├── README.md | |
| ├── LICENSE | |
| ├── dataset.svg | |
| │ | |
| ├── data/ | |
| │ ├── source_datasets.csv | |
| │ ├── train/ | |
| │ ├── validation/ | |
| │ └── test/ | |
| │ | |
| ├── conditions/ | |
| │ ├── train_validation/ | |
| │ ├── test_assignments.json | |
| │ └── generation_prompt.md | |
| │ | |
| └── behavior_cards/ | |
| └── behavior_cards.xlsx | |
| ``` | |
| - `data/` contains the audio events, organized by split, species, and vocalization anchor. | |
| - `conditions/train_validation/` contains the behavioral-condition pools used for training and validation. | |
| - `conditions/test_assignments.json` contains the fixed audio-condition assignments used for the test set. | |
| - `conditions/generation_prompt.md` contains the prompt used to generate behavioral conditions. | |
| - `behavior_cards/behavior_cards.xlsx` contains the literature-grounded behavior cards used as the behavioral knowledge source for condition generation. | |
| - `data/source_datasets.csv` records the original bioacoustic data sources, publications, persistent identifiers, and source-specific licensing information. | |
| Audio files are organized as: | |
| ```text | |
| data/<split>/<species>/<anchor>/*.wav | |
| ``` | |
| ## Source Data and Licensing | |
| BeVo integrates recordings from six public bioacoustic datasets covering spotted hyena, meerkat, common marmoset, goat, plains zebra, and zebra finch. | |
| Detailed information about the original datasets, publications, persistent identifiers, and licensing terms is provided in: | |
| ```text | |
| data/source_datasets.csv | |
| ``` | |
| BeVo is a **mixed-license dataset**. Third-party audio retains the license or terms of use of its original source dataset. BeVo-created materials are released under the terms described in the repository-level LICENSE, to the extent that the BeVo authors hold the relevant rights. | |
| Please consult both LICENSE and `data/source_datasets.csv` before redistributing or reusing the audio. | |
| ## Citation | |
| If you use the BeVo dataset in your research, please cite our paper: | |
| ```bibtex | |
| @misc{deng2026behaviorconditioned, | |
| title = {Behavior-Conditioned Animal Vocalization Generation: Event-Aware Modeling and Multidimensional Evaluation}, | |
| author = {Deng, Xinlong and Tian, Yong and Guan, Jian and Kong, Qiuqiang and Jiang, Jie and Cao, Yin}, | |
| year = {2026}, | |
| eprint = {2610.16382}, | |
| archivePrefix = {arXiv}, | |
| primaryClass = {cs.SD}, | |
| url = {https://arxiv.org/abs/2610.16382} | |
| } | |
| ``` |