Datasets:

dolphinteam
/

DophinWhistle-Classification-Finetuning

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
4SW_Nikita	Exp_17_Jan_2020_1245pm	2,460.852783	2,461.293457	0.440674	3,300	32	Whistle4171
0NSW_9	Exp_02_Feb_2020_1245pm	3,217.23291	3,217.95752	0.724609	3,300	71	Whistle14402
4SW_Nikita	Exp_01_Jan_2020_1245pm	2,725.523193	2,726.003174	0.47998	3,300	34	Whistle3705
4SW_Nikita	Exp_28_Nov_2019_1245pm	2,747.560791	2,748.174072	0.613281	3,000	36	Whistle4558
0NSW_9	Exp_08_Jan_2020_1245pm	3,166.896729	3,167.516113	0.619385	3,300	76	Whistle14386
2SW_Nana	Exp_17_Dec_2019_1145am	3,246.542969	3,247.755127	1.212158	3,300	16	Whistle5300
0NSW_9	Exp_09_Dec_2019_1145am	741.252258	742.354065	1.101807	3,300	71	Whistle14462
3SW_Neo	Exp_15_Jan_2020_1545pm	1,023.428711	1,024.262329	0.833618	3,300	4	Whistle2543
5SW_Yosefa	Exp_01_Feb_2020_1345pm	803.28241	803.722412	0.440002	3,300	59	Whistle12959
1SW_Luna	Exp_17_Feb_2020_1145am	3,197.591553	3,198.803955	1.212402	3,300	41	Whistle11717
1SW_Luna	Exp_28_Nov_2019_0945am	286.390961	287.625916	1.234955	3,000	40	Whistle7921
2SW_Nana	Exp_14_Dec_2019_0945am	1,065.844604	1,066.590576	0.745972	3,300	16	Whistle5718
5SW_Yosefa	Exp_02_Jan_2020_1145am	2,137.063721	2,137.849121	0.7854	3,300	61	Whistle13085
3SW_Neo	Exp_05_Dec_2019_1545pm	613.049072	613.724792	0.67572	3,000	9	Whistle1534
2SW_Nana	Exp_13_Feb_2020_1145am	2,456.744141	2,457.515137	0.770996	3,300	16	Whistle5711
0NSW_9	Exp_05_Dec_2019_1145am	336.966492	338.223389	1.256897	3,000	73	Whistle14454
5SW_Yosefa	Exp_04_Feb_2020_1145am	2,856.508545	2,857.82373	1.315186	3,300	58	Whistle12711
4SW_Nikita	Exp_02_Feb_2020_1245pm	1,104.983398	1,105.28833	0.304932	3,300	34	Whistle3666
0NSW_9	Exp_06_Feb_2020_1145am	152.755463	153.635468	0.880005	3,300	71	Whistle14217
1SW_Luna	Exp_17_Dec_2019_1045am	484.752533	485.382782	0.630249	3,300	40	Whistle10701
1SW_Luna	Exp_12_Jan_2020_1545pm	1,106.839722	1,107.401367	0.561646	3,300	41	Whistle11486
1SW_Luna	Exp_06_Jan_2020_0945am	578.895508	579.736694	0.841187	3,300	40	Whistle6547
5SW_Yosefa	Exp_11_Dec_2019_1145am	1,775.645386	1,776.2854	0.640015	3,300	60	Whistle13144
1SW_Luna	Exp_09_Feb_2020_1345pm	1,243.447754	1,244.293701	0.845947	3,300	40	Whistle7764
5SW_Yosefa	Exp_01_Feb_2020_1045am	3,043.729248	3,044.684814	0.955566	3,300	58	Whistle12678
1SW_Luna	Exp_28_Nov_2019_0945am	244.883972	245.805786	0.921814	3,000	40	Whistle11731
1SW_Luna	13-11-19-1221	3,159.558838	3,160.677002	1.118164	3,600	42	Whistle7745
4SW_Nikita	Exp_11_Mar_2020_1145am	34.495861	34.888439	0.392578	3,000	34	Whistle4320
1SW_Luna	Exp_26_Nov_2019_1545pm	442.947021	443.614502	0.66748	3,000	41	Whistle10819
5SW_Yosefa	Exp_01_Feb_2020_0945am	893.572693	894.597717	1.025024	3,300	58	Whistle12872
3SW_Neo	Exp_01_Feb_2020_1545pm	653.202576	654.535767	1.333191	3,300	3	Whistle1092
5SW_Yosefa	Exp_07_Jan_2020_1045am	2,526.762695	2,527.527588	0.764893	3,300	54	Whistle13015
1SW_Luna	Exp_17_Feb_2020_0945am	640.169128	641.135681	0.966553	3,300	40	Whistle10082
2SW_Nana	Exp_17_Dec_2019_1045am	2,457.118408	2,457.845947	0.727539	3,300	19	Whistle5473
3SW_Neo	Exp_02_Mar_2020_1545pm	455.332733	456.257568	0.924835	3,000	1	Whistle988
2SW_Nana	Exp_21_Nov_2019_1345pm	536.806152	537.773071	0.966919	3,600	16	Whistle5316
5SW_Yosefa	Exp_08_Dec_2019_1045am	2,411.872314	2,412.897217	1.024902	3,300	58	Whistle12874
3SW_Neo	Exp_09_Feb_2020_0945am	1,303.478271	1,303.875732	0.397461	3,300	13	Whistle973
4SW_Nikita	Exp_04_Jan_2020_1145am	141.623718	142.03183	0.408112	3,300	34	Whistle3680
2SW_Nana	Exp_15_Dec_2019_0845am	668.958313	669.759583	0.80127	3,300	16	Whistle5739
5SW_Yosefa	Exp_11_Jan_2020_0945am	403.166229	403.681213	0.514984	3,300	59	Whistle13150
2SW_Nana	Exp_12_Dec_2019_1045am	3,088.505127	3,088.900146	0.39502	3,300	22	Whistle5271
3SW_Neo	Exp_26_Nov_2019_1345pm	577.664978	578.53186	0.866882	3,000	2	Whistle2337
5SW_Yosefa	Exp_21_Nov_2019_1345pm	260.535736	261.305725	0.769989	3,600	59	Whistle13246
2SW_Nana	Exp_17_Jan_2020_1045am	2,995.097168	2,995.91333	0.816162	3,300	22	Whistle5565
4SW_Nikita	Exp_21_Nov_2019_0945am	138.215698	139.305313	1.089615	3,600	30	Whistle4700
2SW_Nana	Exp_04_Jan_2020_1145am	27.980085	29.021156	1.041071	3,300	16	Whistle5093
2SW_Nana	Exp_21_Nov_2019_0945am	2,052.858887	2,053.51416	0.655273	3,600	16	Whistle5574
4SW_Nikita	Exp_16_Dec_2019_1145am	324.460968	324.690979	0.230011	3,300	38	Whistle4763
0NSW_9	Exp_05_Jan_2020_1545pm	519.105469	519.468384	0.362915	3,300	74	Whistle14334
1SW_Luna	Exp_11_Dec_2019_1145am	2,657.883057	2,658.907959	1.024902	3,300	52	Whistle12558
5SW_Yosefa	Exp_06_Dec_2019_0945am	94.865318	95.995323	1.130005	3,000	58	Whistle12789
2SW_Nana	Exp_15_Jan_2020_1245pm	3,064.826904	3,065.737061	0.910156	3,300	22	Whistle5288
1SW_Luna	Exp_13_Dec_2019_0945am	2,604.871094	2,605.400879	0.529785	3,300	42	Whistle12125
1SW_Luna	Exp_15_Feb_2020_1345pm	108.251297	109.235283	0.983986	3,300	53	Whistle8756
1SW_Luna	Exp_07_Mar_2020_0945am	331.470703	332.174591	0.703888	3,000	41	Whistle7241
0NSW_9	Exp_07_Mar_2020_0945am	390.920624	391.559601	0.638977	3,000	71	Whistle14236
1SW_Luna	Exp_17_Dec_2019_1145am	2,414.832275	2,416.001465	1.169189	3,300	40	Whistle8841
3SW_Neo	Exp_08_Jan_2020_1245pm	2,279.098633	2,279.928711	0.830078	3,300	1	Whistle1269
3SW_Neo	Exp_09_Mar_2020_1545pm	143.401474	144.404373	1.002899	3,000	3	Whistle1321
3SW_Neo	Exp_07_Mar_2020_0945am	228.70076	230.455734	1.754974	3,000	14	Whistle1590
0NSW_9	Exp_07_Mar_2020_0945am	59.569145	60.214146	0.645	3,000	71	Whistle14237
5SW_Yosefa	Exp_01_Feb_2020_1145am	2,243.956787	2,244.981689	1.024902	3,300	58	Whistle12719
5SW_Yosefa	Exp_01_Jan_2020_0845am	2,885.433838	2,886.19873	0.764893	3,300	56	Whistle12633
4SW_Nikita	Exp_12_Dec_2019_1045am	1,471.734619	1,472.503784	0.769165	3,300	32	Whistle4858
4SW_Nikita	Exp_11_Jan_2020_1345pm	394.241608	394.637756	0.396149	3,300	34	Whistle4838
2SW_Nana	Exp_17_Feb_2020_1145am	2,372.208496	2,373.029297	0.820801	3,300	17	Whistle5890
5SW_Yosefa	Exp_13_Dec_2019_1345pm	2,774.658447	2,775.743408	1.084961	3,300	61	Whistle13156
4SW_Nikita	Exp_17_Feb_2020_1245pm	3,114.229492	3,115.649414	1.419922	3,300	25	Whistle4984
0NSW_9	Exp_07_Mar_2020_0945am	393.546326	394.161316	0.61499	3,000	76	Whistle14359
0NSW_9	Exp_22_Nov_2019_1245pm	3,293.454102	3,293.924072	0.469971	3,600	75	Whistle15249
1SW_Luna	Exp_25_Nov_2019_0945am	1,303.192261	1,303.918213	0.725952	3,000	42	Whistle8939
1SW_Luna	Exp_16_Dec_2019_1545pm	115.01535	116.645317	1.629967	3,300	48	Whistle7876
0NSW_9	Exp_17_Dec_2019_1245pm	2,866.908691	2,868.183594	1.274902	3,300	75	Whistle14524
4SW_Nikita	Exp_21_Nov_2019_1345pm	383.864624	384.458557	0.593933	3,600	31	Whistle5013
4SW_Nikita	Exp_17_Dec_2019_0945am	2,510.513428	2,511.252441	0.739014	3,300	25	Whistle4145
5SW_Yosefa	Exp_16_Jan_2020_1145am	449.676361	450.451355	0.774994	3,300	57	Whistle13230
1SW_Luna	Exp_11_Mar_2020_0945am	638.567932	639.184937	0.617004	3,000	42	Whistle11624
1SW_Luna	Exp_11_Dec_2019_1145am	2,656.193115	2,657.029053	0.835938	3,300	40	Whistle12141
5SW_Yosefa	Exp_27_Nov_2019_1145am	1,562.57019	1,563.015259	0.445068	3,000	59	Whistle13192
1SW_Luna	Exp_17_Feb_2020_1145am	2,465.989258	2,466.574707	0.585449	3,300	40	Whistle11716
3SW_Neo	Exp_16_Nov_2019_1345pm	607.911682	608.496704	0.585022	3,600	2	Whistle2662
2SW_Nana	Exp_17_Dec_2019_0945am	1,631.365967	1,632.803589	1.437622	3,300	18	Whistle5830
2SW_Nana	Exp_22_Nov_2019_0845am	866.448364	867.560242	1.111877	3,600	16	Whistle6019
1SW_Luna	Exp_09_Dec_2019_1145am	2,028.770386	2,029.112793	0.342407	3,300	41	Whistle7288
3SW_Neo	Exp_14_Dec_2019_0945am	538.237976	539.220154	0.982178	3,300	3	Whistle1962
2SW_Nana	Exp_17_Feb_2020_1545pm	306.385925	306.841125	0.4552	3,300	20	Whistle5662
2SW_Nana	Exp_16_Jan_2020_1245pm	1,645.266357	1,646.203003	0.936646	3,300	16	Whistle5812
1SW_Luna	Exp_16_Jan_2020_1345pm	13.695042	14.578749	0.883707	3,300	40	Whistle9794
4SW_Nikita	Exp_01_Feb_2020_1145am	51.634277	52.068394	0.434116	3,300	39	Whistle3795
2SW_Nana	Exp_16_Nov_2019_1045am	2,400.359619	2,401.241211	0.881592	3,600	16	Whistle5297
1SW_Luna	Exp_16_Dec_2019_1145am	407.81958	408.208984	0.389404	3,300	51	Whistle8635
2SW_Nana	Exp_16_Feb_2020_0945am	3,252.54834	3,253.672852	1.124512	3,300	24	Whistle5372
2SW_Nana	Exp_04_Jan_2020_1345pm	2,195.502441	2,196.151611	0.64917	3,300	20	Whistle5106
1SW_Luna	Exp_02_Mar_2020_1545pm	72.003059	72.958939	0.955879	3,000	46	Whistle7376
2SW_Nana	Exp_16_Jan_2020_0945am	2,676.906494	2,677.33374	0.427246	3,300	21	Whistle5466
1SW_Luna	Exp_17_Dec_2019_1145am	2,402.104248	2,402.728516	0.624268	3,300	42	Whistle8840
0NSW_9	Exp_22_Nov_2019_1245pm	3,487.561523	3,488.293701	0.732178	3,600	71	Whistle14894
2SW_Nana	Exp_14_Jan_2020_1045am	754.164185	754.938599	0.774414	2,194.901367	16	Whistle5731
2SW_Nana	Exp_17_Dec_2019_1045am	2,462.988281	2,463.833984	0.845703	3,300	17	Whistle5380

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 labels
unbalanced: 2790 train / 698 test / 10 labels
all: 6683 train / 1671 test / 10 labels

Label sets

default (balanced): NSW_9, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Yosefa
unbalanced: NSW_3, NSW_6, NSW_9, SW_Dana, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Shy, SW_Yosefa
all: 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))

Downloads last month: 35

Size of downloaded dataset files:

633 MB

Size of the auto-converted Parquet files:

633 MB

Number of rows:

14,842