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DogSpeak_Dataset

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10K<n<100K
Tags:
Canine Vocalization
Dog Bark Analysis
Animal Communication
Vocalization Dataset
Machine Learning
Computational Bioacoustics
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PuneettArora Lekhak123 commited on
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Duplicate from ArlingtonCL2/DogSpeak_Dataset

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Co-authored-by: Hridayesh Lekhak <Lekhak123@users.noreply.huggingface.co>

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+ ---
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+ license: cc-by-nc-sa-4.0
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+ tags:
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+ - Canine Vocalization
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+ - Dog Bark Analysis
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+ - Animal Communication
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+ - Vocalization Dataset
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+ - Machine Learning
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+ - Computational Bioacoustics
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+ - Bioacoustics Classification
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+ pretty_name: 'DogSpeak: A Canine Vocalization Classification Dataset'
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # DogSpeak: A Canine Vocalization Classification Dataset
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+
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+ **Paper:** https://dl.acm.org/doi/10.1145/3746027.3758298
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+
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+ **Dataset:** https://huggingface.co/datasets/ArlingtonCL2/DogSpeak_Dataset
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+
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+ ## Dataset Summary
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+
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+ **DogSpeak** is a large-scale canine vocalization dataset designed to advance research in animal communication and computational bioacoustics.
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+
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+ Unlike previous canine vocalization datasets recorded in controlled environments, DogSpeak is sourced from a large collection of online videos and captures a diverse range of naturally occurring dog vocalizations recorded in real-world conditions.
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+
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+ The dataset contains **77,202 Bark Sequences (Barkseqs)** from **156 individual dogs** across **5 breeds**:
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+
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+ * Chihuahua
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+ * German Shepherd
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+ * Husky
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+ * Pitbull
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+ * Shiba Inu
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+
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+ In addition to breed labels, DogSpeak provides the biological sex of the dog (`male` or `female`) associated with each vocalization.
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+
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+ ## Related Dataset
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+
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+ Researchers may also find our longitudinal canine vocalization dataset useful.
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+
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+ **Canine Age Transition Vocalization Dataset (CATVD):**
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+
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+ https://huggingface.co/datasets/ArlingtonCL2/Canine-Age-Transition-Vocalization-Dataset
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+
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+ CATVD contains **79,142 Bark Units (BUs)** extracted from **55,718 Bark Sequences (Barkseqs)** totaling approximately **11.4 hours** of vocalizations from **125 individual dogs** across **6 breeds**.
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+
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+ The dataset includes:
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+
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+ * Age in months
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+ * Developmental age group labels
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+ * Breed metadata
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+ * Bark type annotations
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+ * Elemental Dog Bark Unit (EDBU) transcripts
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+ * Temporal Bark Unit alignments
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+
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+ and is specifically designed for longitudinal studies of canine vocal development.
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+
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+ ### Important Note Regarding Dataset Overlap
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+
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+ Some individual dogs may appear in both the DogSpeak dataset and the Canine Age Transition Vocalization Dataset.
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+
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+ If you use both datasets for training, evaluation, or benchmarking, we strongly recommend checking for overlapping dogs and avoiding train/test leakage. In many cases, it may be preferable to use only one of the datasets for a given experiment.
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+
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+ ## File Structure
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+
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+ ```text
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+ DogSpeak/
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+ ├── dogspeak_released/
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+ │ ├── dog_1/
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+ │ │ ├── 0_chihuahua_M_dog_1.wav
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+ │ │ └── ...
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+ │ ├── dog_2/
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+ │ │ ├── 1_chihuahua_M_dog_2.wav
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+ │ │ └── ...
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+ │ ├── dog_7a/
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+ │ │ ├── 0_chihuahua_M_dog_7a.wav
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+ │ │ └── ...
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+ │ └── dog_7b/
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+ │ ├── 5957_chihuahua_M_dog_7b.wav
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+ │ └── ...
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+ └── metadata.csv
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+ ```
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+
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+ Each dog's audio clips are located in a folder named with a sequential `dog_id` (for example `dog_1`, `dog_2`, etc.).
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+
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+ All audio files are stored in WAV format.
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+
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+ ### Note on File Structure
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+
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+ Due to repository limits on the number of files per directory, the original `dog_7` directory was divided into `dog_7a` and `dog_7b`.
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+
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+ These folders contain the same data as the original directory and exist solely to satisfy repository file-count constraints.
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+
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+ ## Metadata
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+
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+ The `metadata.csv` file provides the following information for each Barkseq:
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+
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+ | Column | Description |
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+ | -------- | ----------------------------------- |
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+ | filename | Unique Barkseq filename |
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+ | breed | Dog breed |
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+ | sex | Biological sex (`male` or `female`) |
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+ | dog_id | Unique dog identifier |
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+
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+ ## Loading the Dataset
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+
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+ ```python
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+ from pathlib import Path
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+ import pandas as pd
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+ import soundfile as sf
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+
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+ root = Path("DogSpeak")
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+
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+ meta = pd.read_csv(root / "metadata.csv")
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+
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+ row = meta.iloc[0]
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+
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+ audio, sr = sf.read(
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+ root / "dogspeak_released" / row["filename"]
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+ )
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+
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+ print(audio.shape)
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+ print(sr)
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+ ```
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+
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+ ## Recommended Usage
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+
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+ DogSpeak is most useful for:
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+
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+ * Breed classification
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+ * Sex classification
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+ * Canine vocalization modeling
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+ * Audio representation learning
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+ * Bioacoustic foundation model pretraining
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+ * Large-scale canine acoustic analysis
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+
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+ Researchers interested in age-dependent vocal development should additionally consider the Canine Age Transition Vocalization Dataset.
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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+ ```bibtex
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+ @inproceedings{lekhak2025dogspeak,
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+ title={DogSpeak: A Canine Vocalization Classification Dataset},
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+ author={Lekhak, Hridayesh and Wang, Theron S and Dang, Tuan M and Zhu, Kenny Q},
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+ booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
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+ pages={13369--13375},
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+ year={2025}
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+ }
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+ ```
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+
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+ ## License
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+
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+ The DogSpeak dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)**.
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+
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+ You may share and adapt the dataset for non-commercial purposes, provided that appropriate credit is given and derivative works are distributed under the same license.
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