Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
1K - 10K
License:
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audio
audioduration (s) 0
70.4
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in Data Studio
This dataset is for Barkopedia Challenge https://uta-acl2.github.io/barkopedia.html
π¦ Dataset Description
Check Training Data here: ArlingtonCL2/Barkopedia_Individual_Dog_Recognition_Dataset
This challenge provides a dataset of labeled dog bark audio clips: 8924
- Training set: 7137 clips (~120 clips per 60 dog IDs).
- Test set: 1787 clips (~30 clips per 60 dog IDs) with hidden labels:
- 709 public (~40%) for live leaderboard updates.
- 1078 private (~60%) for final evaluation. You will have access to all 1787 clips in the Dataset, the result of the 709 public clips will show the evaluation result.
π Labels
Each clip is annotated with: a dog id from index number 1-60.
The labels were manually generated and verified by us.
The train_labels.csv
file provides the ground truth (correct labels) for the training set. It contains the following columns:
- audio_id: The filename of the dog bark audio clip (e.g., "bark_752352").
- pred_dog_id: The ID of the dog that the bark belongs to (an integer between 1 and 60).
For example, a row with audio_id
as "bark_2408" and pred_dog_id
as "17" indicates that the audio clip "bark_2408.wav" contains a bark from dog number 17.
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