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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
raise ValueError(
ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) 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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, 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
Dataset Summary
DogSpeak is a large-scale, "in-the-wild" canine vocalization dataset designed to advance research in animal communication and computational bioacoustics. Unlike previous datasets recorded in controlled environments, DogSpeak is sourced from tens of thousands of online social media videos, capturing a wide array of natural, organic interactions. This dataset is designed to challenge and foster the development of more robust bioacoustic models capable of handling the inherent noise and variability of real-world recordings.
The dataset contains 77,202 bark sequences (referred to as "Barkseqs") from 156 individual dogs across 5 breeds: Chihuahua, German Shepherd, Husky, Pitbull, and Shiba Inu.
File Structure: The dataset is organized into a simple directory structure for easy access:
/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 (e.g., dog_1, dog_2). All audio files are in .wav format.
Note on File Structure: Due to a repository limit of 10,000 files per directory, the original dog_7 folder, which contained over 11,000 files, has been split into two subdirectories: dog_7a and dog_7b. These directories contain the same audio files as the original dog_7 folder but are divided to comply with the upload limits.
Metadata:
The metadata.csv file provides key information for each audio clip, formatted as follows:
| Column | Description |
|---|---|
filename |
The new, unique filename for the audio clip. |
breed |
The breed of the dog. |
sex |
The biological sex of the dog (male or female). |
dog_id |
The unique ID of the dog. |
Citation
If you use this dataset in your research, please cite the following paper. This is a crucial requirement for proper academic attribution.
@inproceedings{lekhak2025dogspeak,
author = {Lekhak, Hridayesh and Wang, Theron S. and Dang, Tuan M. and Zhu, Kenny Q.},
title = {DogSpeak: A Canine Vocalization Classification Dataset},
year = {2025},
publisher = {ACM},
booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
series = {MM '25},
address = {Dublin, Ireland},
doi = {10.1145/3746027.3758298}
}
License
The DogSpeak dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. This means that you are free to share and adapt the material for non-commercial purposes, provided you give appropriate credit and distribute any new works under the same license.
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