Datasets:
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README.md
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<!-- Provide a longer summary of what this dataset is. -->
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[More Information Needed]
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<!--This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1), and further altered to suit Imageomics Institute needs.-->
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## Considerations for Using the Data
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These data are unlabelled, unprocessed, and may still contain significant noise. Employing source separation or audio preprocessing methods may be beneficial to downstream analyses. Also note, humans or vehicles may be audible in some recorders due to the presence of cars, helicopters, or people.
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Things to consider while working with the dataset. For instance, maybe there are hybrids and they are labeled in the `hybrid_stat` column, so to get a subset without hybrids, subset to all instances in the metadata file such that `hybrid_stat` is _not_ "hybrid".
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<!-- This section is meant to convey both technical and sociotechnical limitations. Could also address misuse, malicious use, and uses that the dataset will not work well for.-->
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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## Licensing Information
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## Dataset Card Authors
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Namrata Banerji, Jacob Beattie, Hikaru Keebler, and Kate Nepovinnykh
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[More Information Needed]
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## Dataset Card Contact
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banerji.8@osu.edu
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keebler.8@osu.edu
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[More Information Needed--optional]
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<!-- Could include who to contact with questions, but this is also what the "Discussions" tab is for. -->
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<!-- Provide a longer summary of what this dataset is. -->
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<!--This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1), and further altered to suit Imageomics Institute needs.-->
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## Considerations for Using the Data
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<!--
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Things to consider while working with the dataset. For instance, maybe there are hybrids and they are labeled in the `hybrid_stat` column, so to get a subset without hybrids, subset to all instances in the metadata file such that `hybrid_stat` is _not_ "hybrid".
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### Bias, Risks, and Limitations
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These data are unlabelled, unprocessed, and may still contain significant noise due to some recorder's proximity to the road or footpaths. Because of this, humans, cars, or helicopters may also be audible in some recordings.
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<!-- This section is meant to convey both technical and sociotechnical limitations. Could also address misuse, malicious use, and uses that the dataset will not work well for.-->
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<!-- For instance, if your data exhibits a long-tailed distribution (and why). -->
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### Recommendations
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Consider the impact that raw, unprocessed data may have on use cases fpr these data. Employing source separation or audio preprocessing methods may be beneficial to downstream analyses.
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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## Licensing Information
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## Dataset Card Authors
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Namrata Banerji, Jacob Beattie, Hikaru Keebler, and Kate Nepovinnykh
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## Dataset Card Contact
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banerji.8@osu.edu
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keebler.8@osu.edu
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<!-- Could include who to contact with questions, but this is also what the "Discussions" tab is for. -->
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