audio audioduration (s) 0.08 2.21 | label class label 6
classes | name stringclasses 249
values | onset float32 1.52 3.52k | offset float32 2.53 3.53k | duration float32 0.08 2.21 | recording_duration float32 2.19k 3.6k | whistle_type int64 1 83 | whistle_name stringlengths 8 12 | f0_spectrogram imagewidth (px) 882 885 | f0_time listlengths 17 455 | f0_hz listlengths 17 455 | f0_conf listlengths 17 455 | f0_ok bool 2
classes | f0_bad_reason stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4SW_Nikita | Exp_17_Jan_2020_1245pm | 2,460.852783 | 2,461.293457 | 0.440674 | 3,300 | 32 | Whistle4171 | [
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0NSW_9 | Exp_02_Feb_2020_1245pm | 3,217.23291 | 3,217.95752 | 0.724609 | 3,300 | 71 | Whistle14402 | [
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4SW_Nikita | Exp_01_Jan_2020_1245pm | 2,725.523193 | 2,726.003174 | 0.47998 | 3,300 | 34 | Whistle3705 | [
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4SW_Nikita | Exp_28_Nov_2019_1245pm | 2,747.560791 | 2,748.174072 | 0.613281 | 3,000 | 36 | Whistle4558 | [
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0NSW_9 | Exp_08_Jan_2020_1245pm | 3,166.896729 | 3,167.516113 | 0.619385 | 3,300 | 76 | Whistle14386 | [
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2SW_Nana | Exp_17_Dec_2019_1145am | 3,246.542969 | 3,247.755127 | 1.212158 | 3,300 | 16 | Whistle5300 | [
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0NSW_9 | Exp_09_Dec_2019_1145am | 741.252258 | 742.354065 | 1.101807 | 3,300 | 71 | Whistle14462 | [
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3SW_Neo | Exp_15_Jan_2020_1545pm | 1,023.428711 | 1,024.262329 | 0.833618 | 3,300 | 4 | Whistle2543 | [
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5SW_Yosefa | Exp_01_Feb_2020_1345pm | 803.28241 | 803.722412 | 0.440002 | 3,300 | 59 | Whistle12959 | [
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1SW_Luna | Exp_17_Feb_2020_1145am | 3,197.591553 | 3,198.803955 | 1.212402 | 3,300 | 41 | Whistle11717 | [
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1SW_Luna | Exp_28_Nov_2019_0945am | 286.390961 | 287.625916 | 1.234955 | 3,000 | 40 | Whistle7921 | [
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2SW_Nana | Exp_14_Dec_2019_0945am | 1,065.844604 | 1,066.590576 | 0.745972 | 3,300 | 16 | Whistle5718 | [
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5SW_Yosefa | Exp_02_Jan_2020_1145am | 2,137.063721 | 2,137.849121 | 0.7854 | 3,300 | 61 | Whistle13085 | [
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3SW_Neo | Exp_05_Dec_2019_1545pm | 613.049072 | 613.724792 | 0.67572 | 3,000 | 9 | Whistle1534 | [
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2SW_Nana | Exp_13_Feb_2020_1145am | 2,456.744141 | 2,457.515137 | 0.770996 | 3,300 | 16 | Whistle5711 | [
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0NSW_9 | Exp_05_Dec_2019_1145am | 336.966492 | 338.223389 | 1.256897 | 3,000 | 73 | Whistle14454 | [
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5SW_Yosefa | Exp_04_Feb_2020_1145am | 2,856.508545 | 2,857.82373 | 1.315186 | 3,300 | 58 | Whistle12711 | [
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4SW_Nikita | Exp_02_Feb_2020_1245pm | 1,104.983398 | 1,105.28833 | 0.304932 | 3,300 | 34 | Whistle3666 | [
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0NSW_9 | Exp_06_Feb_2020_1145am | 152.755463 | 153.635468 | 0.880005 | 3,300 | 71 | Whistle14217 | [
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... | true |
End of preview. Expand in Data Studio
DolphinWhistle-Classification-Finetuning
This dataset contains embedded dolphin whistle segments with identity labels for finetuning audio encoders.
Available configs
default(balanced): 2400 train / 600 test / 6 labelsunbalanced: 2790 train / 698 test / 10 labelsall: 6683 train / 1671 test / 10 labels
Label sets
default(balanced): NSW_9, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Yosefaunbalanced: NSW_3, NSW_6, NSW_9, SW_Dana, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Shy, SW_Yosefaall: NSW_3, NSW_6, NSW_9, SW_Dana, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Shy, SW_Yosefa
Example
from datasets import load_dataset, Audio
balanced = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning")
unbalanced = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning", "unbalanced")
all_cfg = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning", "all")
unbalanced["train"] = unbalanced["train"].cast_column("audio", Audio(decode=False))
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