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Auto-converted to Parquet
audio_filename
audioduration (s)
0.13
0.5
labels
sequencelengths
1
5
scores
sequencelengths
1
5
[ "Speech" ]
[ -0.32349 ]
[ "Speech" ]
[ 0.34375 ]
[ "Speech" ]
[ 0.26587 ]
[ "Speech" ]
[ 0.28711 ]
[ "Speech" ]
[ -0.66699 ]
[ "Gush" ]
[ -2.83008 ]
[ "Speech" ]
[ 0.31982 ]
[ "Speech" ]
[ -0.0242 ]
[ "Speech" ]
[ -0.09912 ]
[ "Speech" ]
[ 0.11475 ]
[ "Speech" ]
[ 0.44507 ]
[ "Gush" ]
[ -2.96094 ]
[ "Speech" ]
[ 0.11377 ]
[ "Speech" ]
[ 0.37354 ]
[ "Speech" ]
[ 0.45166 ]
[ "Speech" ]
[ 0.08911 ]
[ "Speech" ]
[ 0.12646 ]
[ "Speech" ]
[ -0.03409 ]
[ "Toothbrush" ]
[ -2.88477 ]
[ "Toothbrush" ]
[ -0.99902 ]
[ "Toothbrush" ]
[ -2.71289 ]
[ "Music" ]
[ -0.70996 ]
[ "Goat" ]
[ -1.63086 ]
[ "Male singing" ]
[ -3.73438 ]
[ "Child singing" ]
[ -3.19141 ]
[ "Cap gun", "Gunshot, gunfire" ]
[ -2.63086, -3.05469 ]
[ "Cap gun" ]
[ -2.7168 ]
[ "Cap gun", "Gunshot, gunfire" ]
[ -1.16309, -1.80859 ]
[ "Cap gun", "Gunshot, gunfire" ]
[ -0.37769, -1.31445 ]
[ "Cap gun", "Gunshot, gunfire" ]
[ -2.75977, -3.2168 ]
[ "Cap gun", "Gunshot, gunfire" ]
[ -3.63867, -3.97852 ]
[ "Singing" ]
[ -2.0957 ]
[ "Singing" ]
[ -3.07422 ]
[ "Bang" ]
[ -3.16211 ]
[ "Singing" ]
[ -2.36133 ]
[ "Singing" ]
[ -2.61719 ]
[ "Music" ]
[ -0.43945 ]
[ "Music" ]
[ -0.25488 ]
[ "Music" ]
[ -0.20325 ]
[ "Music" ]
[ -0.625 ]
[ "Music" ]
[ -0.0636 ]
[ "Music" ]
[ -0.81348 ]
[ "Music" ]
[ -0.06665 ]
[ "Music" ]
[ -0.04346 ]
[ "Music" ]
[ -0.3064 ]
[ "Music" ]
[ -0.33984 ]
[ "Music" ]
[ -0.64502 ]
[ "Music" ]
[ -0.15625 ]
[ "Music" ]
[ 0.34741 ]
[ "Music" ]
[ 0.19861 ]
[ "Music" ]
[ -0.48755 ]
[ "Music" ]
[ -0.07104 ]
[ "Music" ]
[ 0.07593 ]
[ "Music" ]
[ 0.07361 ]
[ "Music" ]
[ -0.2489 ]
[ "Music" ]
[ -0.27417 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.39062, -0.87939, -2.19922 ]
[ "Water" ]
[ -2.39648 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.62891, -0.89404, -2.38867 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ 0.15381, -0.18127, -0.45581 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.28247, -0.52295, -0.89746 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.05371, -0.69922, -1.60059 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.73926, -1.12891, -1.96582 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.35352, -0.98633, -1.75488 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.75, -0.71533, -1.63086 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.95508, -0.45312, -1.33105 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -3.83594, -3.375, -3.8125 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.07422, -0.67773, -1.06445 ]
[ "Water tap, faucet", "Water" ]
[ -1.7998, -0.88818 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -1.17773, -1.23633, -1.65137 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.96875, -0.34839, -1.48047 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.4978, -0.38062, -1.48242 ]
[ "Water tap, faucet", "Water", "Sink (filling or washing)" ]
[ -0.35913, -0.59473, -1.05371 ]
[ "Water tap, faucet", "Water" ]
[ -1.92188, -0.78906 ]
[ "Water" ]
[ -1.46191 ]
[ "Music" ]
[ 0.38745 ]
[ "Music" ]
[ 0.1156 ]
[ "Music" ]
[ 0.27148 ]
[ "Music" ]
[ 0.63818 ]
[ "Music" ]
[ 0.41333 ]
[ "Music" ]
[ 0.34521 ]
[ "Music" ]
[ 0.41724 ]
[ "Music" ]
[ 0.38159 ]
[ "Music" ]
[ 1.14062 ]
[ "Music" ]
[ 0.6543 ]
[ "Music" ]
[ 0.89014 ]
[ "Music" ]
[ 0.56641 ]
[ "Music" ]
[ 0.61621 ]
[ "Music" ]
[ 0.31348 ]
[ "Music" ]
[ 0.28809 ]
[ "Music" ]
[ 0.67969 ]
[ "Music" ]
[ 0.34106 ]
[ "Music" ]
[ 0.56348 ]
[ "Music" ]
[ 0.61572 ]
[ "Music" ]
[ 0.86426 ]
[ "Knock" ]
[ -3.12695 ]
[ "Knock" ]
[ 2.89648 ]
[ "Knock" ]
[ 1.77344 ]
[ "Knock" ]
[ 1.4668 ]
[ "Plucked string instrument", "Strum", "Guitar", "Musical instrument" ]
[ -0.81934, -1.6377, -0.63672, -0.72119 ]
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AudioSet Chunk

Chunk AudioSet every 0.25 seconds and 0.5 seconds and predict using MIT/ast-finetuned-audioset-10-10-0.4593, after that only filter and labels predicted overlapped with the gold labels.

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