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The dataset viewer is not available for this dataset.
Cannot get the config names for the 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.py

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The authors request this repository remains private while the data and paper details are finalised

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 ([email protected]), Esther Sebastián-González ([email protected])

Additional dataset curation: Ben McEwen ([email protected]), Corentin Bernard ([email protected])

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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