The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found WABAD.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found WABAD.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring
Original dataset available and full authors list: https://zenodo.org/records/17293588
Dataset corresponding author: Cristian Pérez Granados (cristian.perez@ctfc.cat), Esther Sebastián-González (esther.sebastian@ua.es)
Additional dataset curation: Ben McEwen (b.j.mcewen@tilburguniversity.edu), Corentin Bernard (corentin.bernard@lis-lab.fr)
Dataset Curation
The original dataset (available on Zenodo) is composed of mostly one-minute audio files (.wav) with corresponding Audacity and Raven Pro annotations corresponding to each individual audio file.
This curated version of the dataset has been adjusted for ease of use:
- Segmented audio into 3-second files (.wav)
- Multi-label annotations combined with site metadata in parquet files
- Train and test splits (80/20 %) predefined by respective .parquet files
Segmentation Method
Raven Pro annotations onset/offset times were converted to a species list (column: species) and one-hot encoding (column: labels) for 3-second segment for which a minimum vocalisation length of 0.5-second is present within the segment. 3-second segments are non-overlapping.
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