The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
"`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
)
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
DogSpeak: A Canine Vocalization Classification Dataset
Paper: https://dl.acm.org/doi/10.1145/3746027.3758298
Dataset: https://huggingface.co/datasets/ArlingtonCL2/DogSpeak_Dataset
Dataset Summary
DogSpeak is a large-scale canine vocalization dataset designed to advance research in animal communication and computational bioacoustics.
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.
The dataset contains 77,202 Bark Sequences (Barkseqs) from 156 individual dogs across 5 breeds:
- Chihuahua
- German Shepherd
- Husky
- Pitbull
- Shiba Inu
In addition to breed labels, DogSpeak provides the biological sex of the dog (male or female) associated with each vocalization.
Related Dataset
Researchers may also find our longitudinal canine vocalization dataset useful.
Canine Age Transition Vocalization Dataset (CATVD):
https://huggingface.co/datasets/ArlingtonCL2/Canine-Age-Transition-Vocalization-Dataset
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.
The dataset includes:
- Age in months
- Developmental age group labels
- Breed metadata
- Bark type annotations
- Elemental Dog Bark Unit (EDBU) transcripts
- Temporal Bark Unit alignments
and is specifically designed for longitudinal studies of canine vocal development.
Important Note Regarding Dataset Overlap
Some individual dogs may appear in both the DogSpeak dataset and the Canine Age Transition Vocalization Dataset.
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.
File Structure
DogSpeak/
├── dogspeak_released/
│ ├── dog_1/
│ │ ├── 0_chihuahua_M_dog_1.wav
│ │ └── ...
│ ├── dog_2/
│ │ ├── 1_chihuahua_M_dog_2.wav
│ │ └── ...
│ ├── dog_7a/
│ │ ├── 0_chihuahua_M_dog_7a.wav
│ │ └── ...
│ └── dog_7b/
│ ├── 5957_chihuahua_M_dog_7b.wav
│ └── ...
└── metadata.csv
Each dog's audio clips are located in a folder named with a sequential dog_id (for example dog_1, dog_2, etc.).
All audio files are stored in WAV format.
Note on File Structure
Due to repository limits on the number of files per directory, the original dog_7 directory was divided into dog_7a and dog_7b.
These folders contain the same data as the original directory and exist solely to satisfy repository file-count constraints.
Metadata
The metadata.csv file provides the following information for each Barkseq:
| Column | Description |
|---|---|
| filename | Unique Barkseq filename |
| breed | Dog breed |
| sex | Biological sex (male or female) |
| dog_id | Unique dog identifier |
Loading the Dataset
from pathlib import Path
import pandas as pd
import soundfile as sf
root = Path("DogSpeak")
meta = pd.read_csv(root / "metadata.csv")
row = meta.iloc[0]
audio, sr = sf.read(
root / "dogspeak_released" / row["filename"]
)
print(audio.shape)
print(sr)
Recommended Usage
DogSpeak is most useful for:
- Breed classification
- Sex classification
- Canine vocalization modeling
- Audio representation learning
- Bioacoustic foundation model pretraining
- Large-scale canine acoustic analysis
Researchers interested in age-dependent vocal development should additionally consider the Canine Age Transition Vocalization Dataset.
Citation
If you use this dataset in your research, please cite:
@inproceedings{lekhak2025dogspeak,
title={DogSpeak: A Canine Vocalization Classification Dataset},
author={Lekhak, Hridayesh and Wang, Theron S and Dang, Tuan M and Zhu, Kenny Q},
booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
pages={13369--13375},
year={2025}
}
License
The DogSpeak dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
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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