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utterance_id
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audio
audioduration (s)
3.39
47.7
40na010x_1.9857_01xo031a_-1.9857.wav
MCollins7(15)plus30_2018-12-01_16.18.09_T001_In1.wav
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AtlasDayTwo5_2018-10-25_15.15.38_T001_In1.wav
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Luckyeast1(17)_2018-12-06_19.20.59_T001_In1.wav
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LuckyT1North(17)_2018-12-05_18.36.20_T001_In1.wav
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Peets-NHFDayThree1(16cm)_2018-10-31_09.53.15_T001_In1.wav
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MCollins1south(16)_2018-12-01_13.34.40_T001_In1.wav
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AtlasCafeDayFour5(16cm)_2018-10-31_15.07.06_T001_In1.wav
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MCollins3(16)plus30more_2018-12-01_14.20.51_T001_In1.wav
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TheLocal2(Apogee16cm)_2018-11-05_10.30.26_T001_In1.wav
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AtlasDayTwo7_2018-10-25_15.58.53_T001_In1.wav
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HC4minus30(16)_2018-12-07_20.39.29_T001_In1.wav
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Peets-NHFDayThree5(17cm)_2018-10-31_11.21.01_T001_In1.wav
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CoffeeBar7_2018-10-24_15.06.54_T001_In1.wav
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Chipotle1(17)southwest_2018-11-29_11.31.01_T001_In1.wav
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TheGroveonMissionDayTwo2_2018-11-09_12.03.16_T001_In1.wav
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TheBeanery6(17)minus30_2018-12-02_14.40.59_T001_In1.wav
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DogBrew4SE(17)_2018-12-11_19.53.58_T001_In1.wav
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StreetTaco1east(17)_2018-11-28_17.59.09_T001_In1.wav
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AtlasCafeDayFour6(16cm)_2018-10-31_15.28.03_T001_In1.wav
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StreetTaco1east(17)_2018-11-28_17.59.09_T001_In1.wav
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TheLocal3(Apogee16cm)_2018-11-05_10.56.04_T001_In1.wav
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La2_2018-11-12_18.34.52_T001_In1.wav
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LuckyT1North(17)_2018-12-05_18.36.20_T001_In1.wav
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Peets-NHFDayThree4(17cm)_2018-10-31_11.00.17_T001_In1.wav
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TheBeanery8(17)nomovefrom7_2018-12-02_15.40.31_T001_In1.wav
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TheBeanery9(16)westagain_2018-12-02_16.08.08_T001_In1.wav
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TheGroveonMission3(Apogee15cm)_2018-11-08_12.09.17_T001_In1.wav
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Lapanca1_2018-11-08_17.55.24_T001_In1.wav
401o030e_1.5254_019c0203_-1.5254.wav
DoloresParkCafeDayTwo5(17cm)_2018-10-30_15.18.35_T001_In1.wav
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PeetsCoffee-NHFAlameda4_2018-10-25_11.33.26_T001_In1.wav
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Luckyeast1(17)_2018-12-06_19.20.59_T001_In1.wav
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HC4minus30(16)_2018-12-07_20.39.29_T001_In1.wav
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TheGroveonMissionDayTwo2_2018-11-09_12.03.16_T001_In1.wav
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AtlasDayTwo6_2018-10-25_15.36.50_T001_In1.wav
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HC4minus30(16)_2018-12-07_20.39.29_T001_In1.wav
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WholeFoodsCafeDayThree1(Apogee15cm)_2018-11-05_15.08.24_T001_In1.wav
403a010t_2.3425_02ac0201_-2.3425.wav
TheBeanery6(17)minus30_2018-12-02_14.40.59_T001_In1.wav
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LuckyT1North(17)_2018-12-05_18.36.20_T001_In1.wav
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AtlasCafeDayFour9(16cm)_2018-10-31_17.04.19_T001_In1.wav
016o030w_0.88895_20uc010p_-0.88895.wav
LuckyT1North(17)_2018-12-05_18.36.20_T001_In1.wav
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WholeFoodsDolores2_2018-10-29_17.32.54_T001_In1.wav
01po030u_1.2371_01eo0310_-1.2371.wav
HC3n(16)_2018-12-07_20.07.00_T001_In1.wav
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Tomatina(17)2plus30_2018-11-30_20.27.51_T001_In1.wav
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TheBeanery2(15)minus30_2018-12-02_12.09.47_T001_In1.wav
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CLDayTwo5_2018-11-16_19.56.28_T001_In1.wav
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CLDayTwo2plus30_2018-11-16_18.49.28_T001_In1.wav
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CLDayTwo6and60_2018-11-16_20.21.40_T001_In1.wav
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VanKleef(15)2minus30_2018-11-27_20.23.00_T001_In1.wav
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WholeFoodsCafeDayThree3(Apogee16cm)_2018-11-05_15.55.57_T001_In1.wav
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TheLocal3(Apogee16cm)_2018-11-05_10.56.04_T001_In1.wav
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TheGroveonMission4apogee15cm_2018-11-08_12.30.12_T001_In1.wav
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VanKleef(15)3plus60_2018-11-27_20.45.29_T001_In1.wav
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MCollins3(16)plus30more_2018-12-01_14.20.51_T001_In1.wav
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Marsbar1east_2018-11-28_15.26.44_T001_In1.wav
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02da0110_2.2367_403o030p_-2.2367.wav
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Marsbar1east_2018-11-28_15.26.44_T001_In1.wav
409c020p_0.7996_20ic0108_-0.7996.wav
AtlasCafe3_2018-10-24_17.12.25_T001_In1.wav
01pa0103_0.52037_018c0206_-0.52037.wav
Peets-NHFDayThree5(17cm)_2018-10-31_11.21.01_T001_In1.wav
01qc0213_0.018171_01wo030y_-0.018171.wav
DogBrew1SE(15)_2018-12-11_18.25.38_T001_In1.wav
40do030w_1.3154_02co030b_-1.3154.wav
Chipotle1(17)southwest_2018-11-29_11.31.01_T001_In1.wav
01ga010y_0.67597_01mc020g_-0.67597.wav
TheLocal1(Apogee16cm)_2018-11-05_10.05.22_T001_In1.wav
01fc0206_0.61463_01bc0209_-0.61463.wav
VanKleef(15)1Bsouth_2018-11-27_20.09.40_T002_In1.wav
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wham (compressed audio)

This is a compressed version of nguyenvulebinh/wham. Only the audio column(s) were re-encoded (see the table below) to reduce download size; every other column, subset and split name is kept unchanged.

License: same as the original dataset. Please refer to the original dataset card for the full description, citation and terms of use.

Compressed splits

config split format settings sample rate rows audio hours size (orig β†’ new)
default train Opus level=0.9 original 25,000 72.68 4.74 GB β†’ 975.3 MB

Usage

from datasets import load_dataset

ds = load_dataset('giangndm/wham-opus', 'default', split='train')

Lossy formats (Opus / MP3) are not bit-exact with the original audio. Encoded with soundfile (libsndfile).

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