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feat: json files

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  1. .gitattributes +1 -0
  2. checkpoints/hifigan_16k_64bins.json +37 -0
  3. checkpoints/hifigan_48k_256bins.json +36 -0
  4. metadata/audiocaps/class_labels_indices.csv +528 -0
  5. metadata/audiocaps/datafiles/audiocaps_test_label.json +0 -0
  6. metadata/audiocaps/datafiles/audiocaps_test_label_weight.csv +0 -0
  7. metadata/audiocaps/datafiles/audiocaps_train_label.json +3 -0
  8. metadata/audiocaps/datafiles/audiocaps_train_label_weight.csv +0 -0
  9. metadata/audiocaps/datafiles/audiocaps_val_label.json +0 -0
  10. metadata/audiocaps/datafiles/audiocaps_val_label_weight.csv +2475 -0
  11. metadata/audiocaps/gen_weight_file.py +75 -0
  12. metadata/audiocaps/prep.py +77 -0
  13. metadata/audiocaps/test.csv +0 -0
  14. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat.json +0 -0
  15. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_0.json +0 -0
  16. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_1.json +0 -0
  17. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_2.json +0 -0
  18. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_2_filename_to_caption_mapping.json +966 -0
  19. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_2_filename_to_caption_mapping.pkl +3 -0
  20. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_3.json +0 -0
  21. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_4.json +0 -0
  22. metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_tiny.json +154 -0
  23. metadata/audiocaps/testset_subset/copy_subset_file_to_folders.py +24 -0
  24. metadata/audiocaps/testset_subset/main.py +30 -0
  25. metadata/audiocaps/testset_subset/main_to_five_subsets.py +34 -0
  26. metadata/audiocaps/train.csv +0 -0
  27. metadata/audiocaps/val.csv +0 -0
  28. metadata/dataset_root.json +16 -0
.gitattributes CHANGED
@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
57
  # Video files - compressed
58
  *.mp4 filter=lfs diff=lfs merge=lfs -text
59
  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
57
  # Video files - compressed
58
  *.mp4 filter=lfs diff=lfs merge=lfs -text
59
  *.webm filter=lfs diff=lfs merge=lfs -text
60
+ metadata/audiocaps/datafiles/audiocaps_train_label.json filter=lfs diff=lfs merge=lfs -text
checkpoints/hifigan_16k_64bins.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "resblock": "1",
3
+ "num_gpus": 6,
4
+ "batch_size": 16,
5
+ "learning_rate": 0.0002,
6
+ "adam_b1": 0.8,
7
+ "adam_b2": 0.99,
8
+ "lr_decay": 0.999,
9
+ "seed": 1234,
10
+
11
+ "upsample_rates": [5,4,2,2,2],
12
+ "upsample_kernel_sizes": [16,16,8,4,4],
13
+ "upsample_initial_channel": 1024,
14
+ "resblock_kernel_sizes": [3,7,11],
15
+ "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
16
+
17
+ "segment_size": 8192,
18
+ "num_mels": 64,
19
+ "num_freq": 1025,
20
+ "n_fft": 1024,
21
+ "hop_size": 160,
22
+ "win_size": 1024,
23
+
24
+ "sampling_rate": 16000,
25
+
26
+ "fmin": 0,
27
+ "fmax": 8000,
28
+ "fmax_for_loss": null,
29
+
30
+ "num_workers": 4,
31
+
32
+ "dist_config": {
33
+ "dist_backend": "nccl",
34
+ "dist_url": "tcp://localhost:54321",
35
+ "world_size": 1
36
+ }
37
+ }
checkpoints/hifigan_48k_256bins.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "resblock": "1",
3
+ "num_gpus": 8,
4
+ "batch_size": 128,
5
+ "learning_rate": 0.0001,
6
+ "adam_b1": 0.8,
7
+ "adam_b2": 0.99,
8
+ "lr_decay": 0.999,
9
+ "seed": 1234,
10
+
11
+ "upsample_rates": [6,5,4,2,2],
12
+ "upsample_kernel_sizes": [12,10,8,4,4],
13
+ "upsample_initial_channel": 1536,
14
+ "resblock_kernel_sizes": [3,7,11,15],
15
+ "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5], [1,3,5]],
16
+
17
+ "segment_size": 15360,
18
+ "num_mels": 256,
19
+ "n_fft": 2048,
20
+ "hop_size": 480,
21
+ "win_size": 2048,
22
+
23
+ "sampling_rate": 48000,
24
+
25
+ "fmin": 20,
26
+ "fmax": 24000,
27
+ "fmax_for_loss": null,
28
+
29
+ "num_workers": 8,
30
+
31
+ "dist_config": {
32
+ "dist_backend": "nccl",
33
+ "dist_url": "tcp://localhost:18273",
34
+ "world_size": 1
35
+ }
36
+ }
metadata/audiocaps/class_labels_indices.csv ADDED
@@ -0,0 +1,528 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ index,mid,display_name
2
+ 0,/m/09x0r,"Speech"
3
+ 1,/m/05zppz,"Male speech, man speaking"
4
+ 2,/m/02zsn,"Female speech, woman speaking"
5
+ 3,/m/0ytgt,"Child speech, kid speaking"
6
+ 4,/m/01h8n0,"Conversation"
7
+ 5,/m/02qldy,"Narration, monologue"
8
+ 6,/m/0261r1,"Babbling"
9
+ 7,/m/0brhx,"Speech synthesizer"
10
+ 8,/m/07p6fty,"Shout"
11
+ 9,/m/07q4ntr,"Bellow"
12
+ 10,/m/07rwj3x,"Whoop"
13
+ 11,/m/07sr1lc,"Yell"
14
+ 12,/m/04gy_2,"Battle cry"
15
+ 13,/t/dd00135,"Children shouting"
16
+ 14,/m/03qc9zr,"Screaming"
17
+ 15,/m/02rtxlg,"Whispering"
18
+ 16,/m/01j3sz,"Laughter"
19
+ 17,/t/dd00001,"Baby laughter"
20
+ 18,/m/07r660_,"Giggle"
21
+ 19,/m/07s04w4,"Snicker"
22
+ 20,/m/07sq110,"Belly laugh"
23
+ 21,/m/07rgt08,"Chuckle, chortle"
24
+ 22,/m/0463cq4,"Crying, sobbing"
25
+ 23,/t/dd00002,"Baby cry, infant cry"
26
+ 24,/m/07qz6j3,"Whimper"
27
+ 25,/m/07qw_06,"Wail, moan"
28
+ 26,/m/07plz5l,"Sigh"
29
+ 27,/m/015lz1,"Singing"
30
+ 28,/m/0l14jd,"Choir"
31
+ 29,/m/01swy6,"Yodeling"
32
+ 30,/m/02bk07,"Chant"
33
+ 31,/m/01c194,"Mantra"
34
+ 32,/t/dd00003,"Male singing"
35
+ 33,/t/dd00004,"Female singing"
36
+ 34,/t/dd00005,"Child singing"
37
+ 35,/t/dd00006,"Synthetic singing"
38
+ 36,/m/06bxc,"Rapping"
39
+ 37,/m/02fxyj,"Humming"
40
+ 38,/m/07s2xch,"Groan"
41
+ 39,/m/07r4k75,"Grunt"
42
+ 40,/m/01w250,"Whistling"
43
+ 41,/m/0lyf6,"Breathing"
44
+ 42,/m/07mzm6,"Wheeze"
45
+ 43,/m/01d3sd,"Snoring"
46
+ 44,/m/07s0dtb,"Gasp"
47
+ 45,/m/07pyy8b,"Pant"
48
+ 46,/m/07q0yl5,"Snort"
49
+ 47,/m/01b_21,"Cough"
50
+ 48,/m/0dl9sf8,"Throat clearing"
51
+ 49,/m/01hsr_,"Sneeze"
52
+ 50,/m/07ppn3j,"Sniff"
53
+ 51,/m/06h7j,"Run"
54
+ 52,/m/07qv_x_,"Shuffle"
55
+ 53,/m/07pbtc8,"Walk, footsteps"
56
+ 54,/m/03cczk,"Chewing, mastication"
57
+ 55,/m/07pdhp0,"Biting"
58
+ 56,/m/0939n_,"Gargling"
59
+ 57,/m/01g90h,"Stomach rumble"
60
+ 58,/m/03q5_w,"Burping, eructation"
61
+ 59,/m/02p3nc,"Hiccup"
62
+ 60,/m/02_nn,"Fart"
63
+ 61,/m/0k65p,"Hands"
64
+ 62,/m/025_jnm,"Finger snapping"
65
+ 63,/m/0l15bq,"Clapping"
66
+ 64,/m/01jg02,"Heart sounds, heartbeat"
67
+ 65,/m/01jg1z,"Heart murmur"
68
+ 66,/m/053hz1,"Cheering"
69
+ 67,/m/028ght,"Applause"
70
+ 68,/m/07rkbfh,"Chatter"
71
+ 69,/m/03qtwd,"Crowd"
72
+ 70,/m/07qfr4h,"Hubbub, speech noise, speech babble"
73
+ 71,/t/dd00013,"Children playing"
74
+ 72,/m/0jbk,"Animal"
75
+ 73,/m/068hy,"Domestic animals, pets"
76
+ 74,/m/0bt9lr,"Dog"
77
+ 75,/m/05tny_,"Bark"
78
+ 76,/m/07r_k2n,"Yip"
79
+ 77,/m/07qf0zm,"Howl"
80
+ 78,/m/07rc7d9,"Bow-wow"
81
+ 79,/m/0ghcn6,"Growling"
82
+ 80,/t/dd00136,"Whimper (dog)"
83
+ 81,/m/01yrx,"Cat"
84
+ 82,/m/02yds9,"Purr"
85
+ 83,/m/07qrkrw,"Meow"
86
+ 84,/m/07rjwbb,"Hiss"
87
+ 85,/m/07r81j2,"Caterwaul"
88
+ 86,/m/0ch8v,"Livestock, farm animals, working animals"
89
+ 87,/m/03k3r,"Horse"
90
+ 88,/m/07rv9rh,"Clip-clop"
91
+ 89,/m/07q5rw0,"Neigh, whinny"
92
+ 90,/m/01xq0k1,"Cattle, bovinae"
93
+ 91,/m/07rpkh9,"Moo"
94
+ 92,/m/0239kh,"Cowbell"
95
+ 93,/m/068zj,"Pig"
96
+ 94,/t/dd00018,"Oink"
97
+ 95,/m/03fwl,"Goat"
98
+ 96,/m/07q0h5t,"Bleat"
99
+ 97,/m/07bgp,"Sheep"
100
+ 98,/m/025rv6n,"Fowl"
101
+ 99,/m/09b5t,"Chicken, rooster"
102
+ 100,/m/07st89h,"Cluck"
103
+ 101,/m/07qn5dc,"Crowing, cock-a-doodle-doo"
104
+ 102,/m/01rd7k,"Turkey"
105
+ 103,/m/07svc2k,"Gobble"
106
+ 104,/m/09ddx,"Duck"
107
+ 105,/m/07qdb04,"Quack"
108
+ 106,/m/0dbvp,"Goose"
109
+ 107,/m/07qwf61,"Honk"
110
+ 108,/m/01280g,"Wild animals"
111
+ 109,/m/0cdnk,"Roaring cats (lions, tigers)"
112
+ 110,/m/04cvmfc,"Roar"
113
+ 111,/m/015p6,"Bird"
114
+ 112,/m/020bb7,"Bird vocalization, bird call, bird song"
115
+ 113,/m/07pggtn,"Chirp, tweet"
116
+ 114,/m/07sx8x_,"Squawk"
117
+ 115,/m/0h0rv,"Pigeon, dove"
118
+ 116,/m/07r_25d,"Coo"
119
+ 117,/m/04s8yn,"Crow"
120
+ 118,/m/07r5c2p,"Caw"
121
+ 119,/m/09d5_,"Owl"
122
+ 120,/m/07r_80w,"Hoot"
123
+ 121,/m/05_wcq,"Bird flight, flapping wings"
124
+ 122,/m/01z5f,"Canidae, dogs, wolves"
125
+ 123,/m/06hps,"Rodents, rats, mice"
126
+ 124,/m/04rmv,"Mouse"
127
+ 125,/m/07r4gkf,"Patter"
128
+ 126,/m/03vt0,"Insect"
129
+ 127,/m/09xqv,"Cricket"
130
+ 128,/m/09f96,"Mosquito"
131
+ 129,/m/0h2mp,"Fly, housefly"
132
+ 130,/m/07pjwq1,"Buzz"
133
+ 131,/m/01h3n,"Bee, wasp, etc."
134
+ 132,/m/09ld4,"Frog"
135
+ 133,/m/07st88b,"Croak"
136
+ 134,/m/078jl,"Snake"
137
+ 135,/m/07qn4z3,"Rattle"
138
+ 136,/m/032n05,"Whale vocalization"
139
+ 137,/m/04rlf,"Music"
140
+ 138,/m/04szw,"Musical instrument"
141
+ 139,/m/0fx80y,"Plucked string instrument"
142
+ 140,/m/0342h,"Guitar"
143
+ 141,/m/02sgy,"Electric guitar"
144
+ 142,/m/018vs,"Bass guitar"
145
+ 143,/m/042v_gx,"Acoustic guitar"
146
+ 144,/m/06w87,"Steel guitar, slide guitar"
147
+ 145,/m/01glhc,"Tapping (guitar technique)"
148
+ 146,/m/07s0s5r,"Strum"
149
+ 147,/m/018j2,"Banjo"
150
+ 148,/m/0jtg0,"Sitar"
151
+ 149,/m/04rzd,"Mandolin"
152
+ 150,/m/01bns_,"Zither"
153
+ 151,/m/07xzm,"Ukulele"
154
+ 152,/m/05148p4,"Keyboard (musical)"
155
+ 153,/m/05r5c,"Piano"
156
+ 154,/m/01s0ps,"Electric piano"
157
+ 155,/m/013y1f,"Organ"
158
+ 156,/m/03xq_f,"Electronic organ"
159
+ 157,/m/03gvt,"Hammond organ"
160
+ 158,/m/0l14qv,"Synthesizer"
161
+ 159,/m/01v1d8,"Sampler"
162
+ 160,/m/03q5t,"Harpsichord"
163
+ 161,/m/0l14md,"Percussion"
164
+ 162,/m/02hnl,"Drum kit"
165
+ 163,/m/0cfdd,"Drum machine"
166
+ 164,/m/026t6,"Drum"
167
+ 165,/m/06rvn,"Snare drum"
168
+ 166,/m/03t3fj,"Rimshot"
169
+ 167,/m/02k_mr,"Drum roll"
170
+ 168,/m/0bm02,"Bass drum"
171
+ 169,/m/011k_j,"Timpani"
172
+ 170,/m/01p970,"Tabla"
173
+ 171,/m/01qbl,"Cymbal"
174
+ 172,/m/03qtq,"Hi-hat"
175
+ 173,/m/01sm1g,"Wood block"
176
+ 174,/m/07brj,"Tambourine"
177
+ 175,/m/05r5wn,"Rattle (instrument)"
178
+ 176,/m/0xzly,"Maraca"
179
+ 177,/m/0mbct,"Gong"
180
+ 178,/m/016622,"Tubular bells"
181
+ 179,/m/0j45pbj,"Mallet percussion"
182
+ 180,/m/0dwsp,"Marimba, xylophone"
183
+ 181,/m/0dwtp,"Glockenspiel"
184
+ 182,/m/0dwt5,"Vibraphone"
185
+ 183,/m/0l156b,"Steelpan"
186
+ 184,/m/05pd6,"Orchestra"
187
+ 185,/m/01kcd,"Brass instrument"
188
+ 186,/m/0319l,"French horn"
189
+ 187,/m/07gql,"Trumpet"
190
+ 188,/m/07c6l,"Trombone"
191
+ 189,/m/0l14_3,"Bowed string instrument"
192
+ 190,/m/02qmj0d,"String section"
193
+ 191,/m/07y_7,"Violin, fiddle"
194
+ 192,/m/0d8_n,"Pizzicato"
195
+ 193,/m/01xqw,"Cello"
196
+ 194,/m/02fsn,"Double bass"
197
+ 195,/m/085jw,"Wind instrument, woodwind instrument"
198
+ 196,/m/0l14j_,"Flute"
199
+ 197,/m/06ncr,"Saxophone"
200
+ 198,/m/01wy6,"Clarinet"
201
+ 199,/m/03m5k,"Harp"
202
+ 200,/m/0395lw,"Bell"
203
+ 201,/m/03w41f,"Church bell"
204
+ 202,/m/027m70_,"Jingle bell"
205
+ 203,/m/0gy1t2s,"Bicycle bell"
206
+ 204,/m/07n_g,"Tuning fork"
207
+ 205,/m/0f8s22,"Chime"
208
+ 206,/m/026fgl,"Wind chime"
209
+ 207,/m/0150b9,"Change ringing (campanology)"
210
+ 208,/m/03qjg,"Harmonica"
211
+ 209,/m/0mkg,"Accordion"
212
+ 210,/m/0192l,"Bagpipes"
213
+ 211,/m/02bxd,"Didgeridoo"
214
+ 212,/m/0l14l2,"Shofar"
215
+ 213,/m/07kc_,"Theremin"
216
+ 214,/m/0l14t7,"Singing bowl"
217
+ 215,/m/01hgjl,"Scratching (performance technique)"
218
+ 216,/m/064t9,"Pop music"
219
+ 217,/m/0glt670,"Hip hop music"
220
+ 218,/m/02cz_7,"Beatboxing"
221
+ 219,/m/06by7,"Rock music"
222
+ 220,/m/03lty,"Heavy metal"
223
+ 221,/m/05r6t,"Punk rock"
224
+ 222,/m/0dls3,"Grunge"
225
+ 223,/m/0dl5d,"Progressive rock"
226
+ 224,/m/07sbbz2,"Rock and roll"
227
+ 225,/m/05w3f,"Psychedelic rock"
228
+ 226,/m/06j6l,"Rhythm and blues"
229
+ 227,/m/0gywn,"Soul music"
230
+ 228,/m/06cqb,"Reggae"
231
+ 229,/m/01lyv,"Country"
232
+ 230,/m/015y_n,"Swing music"
233
+ 231,/m/0gg8l,"Bluegrass"
234
+ 232,/m/02x8m,"Funk"
235
+ 233,/m/02w4v,"Folk music"
236
+ 234,/m/06j64v,"Middle Eastern music"
237
+ 235,/m/03_d0,"Jazz"
238
+ 236,/m/026z9,"Disco"
239
+ 237,/m/0ggq0m,"Classical music"
240
+ 238,/m/05lls,"Opera"
241
+ 239,/m/02lkt,"Electronic music"
242
+ 240,/m/03mb9,"House music"
243
+ 241,/m/07gxw,"Techno"
244
+ 242,/m/07s72n,"Dubstep"
245
+ 243,/m/0283d,"Drum and bass"
246
+ 244,/m/0m0jc,"Electronica"
247
+ 245,/m/08cyft,"Electronic dance music"
248
+ 246,/m/0fd3y,"Ambient music"
249
+ 247,/m/07lnk,"Trance music"
250
+ 248,/m/0g293,"Music of Latin America"
251
+ 249,/m/0ln16,"Salsa music"
252
+ 250,/m/0326g,"Flamenco"
253
+ 251,/m/0155w,"Blues"
254
+ 252,/m/05fw6t,"Music for children"
255
+ 253,/m/02v2lh,"New-age music"
256
+ 254,/m/0y4f8,"Vocal music"
257
+ 255,/m/0z9c,"A capella"
258
+ 256,/m/0164x2,"Music of Africa"
259
+ 257,/m/0145m,"Afrobeat"
260
+ 258,/m/02mscn,"Christian music"
261
+ 259,/m/016cjb,"Gospel music"
262
+ 260,/m/028sqc,"Music of Asia"
263
+ 261,/m/015vgc,"Carnatic music"
264
+ 262,/m/0dq0md,"Music of Bollywood"
265
+ 263,/m/06rqw,"Ska"
266
+ 264,/m/02p0sh1,"Traditional music"
267
+ 265,/m/05rwpb,"Independent music"
268
+ 266,/m/074ft,"Song"
269
+ 267,/m/025td0t,"Background music"
270
+ 268,/m/02cjck,"Theme music"
271
+ 269,/m/03r5q_,"Jingle (music)"
272
+ 270,/m/0l14gg,"Soundtrack music"
273
+ 271,/m/07pkxdp,"Lullaby"
274
+ 272,/m/01z7dr,"Video game music"
275
+ 273,/m/0140xf,"Christmas music"
276
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+ 280,/t/dd00035,"Exciting music"
283
+ 281,/t/dd00036,"Angry music"
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+ 282,/t/dd00037,"Scary music"
285
+ 283,/m/03m9d0z,"Wind"
286
+ 284,/m/09t49,"Rustling leaves"
287
+ 285,/t/dd00092,"Wind noise (microphone)"
288
+ 286,/m/0jb2l,"Thunderstorm"
289
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290
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291
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292
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+ 291,/t/dd00038,"Rain on surface"
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+ 292,/m/0j6m2,"Stream"
295
+ 293,/m/0j2kx,"Waterfall"
296
+ 294,/m/05kq4,"Ocean"
297
+ 295,/m/034srq,"Waves, surf"
298
+ 296,/m/06wzb,"Steam"
299
+ 297,/m/07swgks,"Gurgling"
300
+ 298,/m/02_41,"Fire"
301
+ 299,/m/07pzfmf,"Crackle"
302
+ 300,/m/07yv9,"Vehicle"
303
+ 301,/m/019jd,"Boat, Water vehicle"
304
+ 302,/m/0hsrw,"Sailboat, sailing ship"
305
+ 303,/m/056ks2,"Rowboat, canoe, kayak"
306
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+ 305,/m/06q74,"Ship"
308
+ 306,/m/012f08,"Motor vehicle (road)"
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+ 307,/m/0k4j,"Car"
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+ 308,/m/0912c9,"Vehicle horn, car horn, honking"
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+ 309,/m/07qv_d5,"Toot"
312
+ 310,/m/02mfyn,"Car alarm"
313
+ 311,/m/04gxbd,"Power windows, electric windows"
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+ 312,/m/07rknqz,"Skidding"
315
+ 313,/m/0h9mv,"Tire squeal"
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+ 314,/t/dd00134,"Car passing by"
317
+ 315,/m/0ltv,"Race car, auto racing"
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+ 316,/m/07r04,"Truck"
319
+ 317,/m/0gvgw0,"Air brake"
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+ 318,/m/05x_td,"Air horn, truck horn"
321
+ 319,/m/02rhddq,"Reversing beeps"
322
+ 320,/m/03cl9h,"Ice cream truck, ice cream van"
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+ 321,/m/01bjv,"Bus"
324
+ 322,/m/03j1ly,"Emergency vehicle"
325
+ 323,/m/04qvtq,"Police car (siren)"
326
+ 324,/m/012n7d,"Ambulance (siren)"
327
+ 325,/m/012ndj,"Fire engine, fire truck (siren)"
328
+ 326,/m/04_sv,"Motorcycle"
329
+ 327,/m/0btp2,"Traffic noise, roadway noise"
330
+ 328,/m/06d_3,"Rail transport"
331
+ 329,/m/07jdr,"Train"
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+ 330,/m/04zmvq,"Train whistle"
333
+ 331,/m/0284vy3,"Train horn"
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+ 332,/m/01g50p,"Railroad car, train wagon"
335
+ 333,/t/dd00048,"Train wheels squealing"
336
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337
+ 335,/m/0k5j,"Aircraft"
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+ 336,/m/014yck,"Aircraft engine"
339
+ 337,/m/04229,"Jet engine"
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+ 345,/m/08j51y,"Dental drill, dentist's drill"
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+ 346,/m/01yg9g,"Lawn mower"
349
+ 347,/m/01j4z9,"Chainsaw"
350
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+ 349,/t/dd00067,"Heavy engine (low frequency)"
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+ 354,/m/02dgv,"Door"
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359
+ 357,/m/02y_763,"Sliding door"
360
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361
+ 359,/m/07r4wb8,"Knock"
362
+ 360,/m/07qcpgn,"Tap"
363
+ 361,/m/07q6cd_,"Squeak"
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+ 362,/m/0642b4,"Cupboard open or close"
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+ 363,/m/0fqfqc,"Drawer open or close"
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+ 364,/m/04brg2,"Dishes, pots, and pans"
367
+ 365,/m/023pjk,"Cutlery, silverware"
368
+ 366,/m/07pn_8q,"Chopping (food)"
369
+ 367,/m/0dxrf,"Frying (food)"
370
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+ 370,/m/02jz0l,"Water tap, faucet"
373
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374
+ 372,/m/03dnzn,"Bathtub (filling or washing)"
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+ 373,/m/03wvsk,"Hair dryer"
376
+ 374,/m/01jt3m,"Toilet flush"
377
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378
+ 376,/m/04fgwm,"Electric toothbrush"
379
+ 377,/m/0d31p,"Vacuum cleaner"
380
+ 378,/m/01s0vc,"Zipper (clothing)"
381
+ 379,/m/03v3yw,"Keys jangling"
382
+ 380,/m/0242l,"Coin (dropping)"
383
+ 381,/m/01lsmm,"Scissors"
384
+ 382,/m/02g901,"Electric shaver, electric razor"
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+ 386,/m/01m2v,"Computer keyboard"
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398
+ 396,/m/03kmc9,"Siren"
399
+ 397,/m/0dgbq,"Civil defense siren"
400
+ 398,/m/030rvx,"Buzzer"
401
+ 399,/m/01y3hg,"Smoke detector, smoke alarm"
402
+ 400,/m/0c3f7m,"Fire alarm"
403
+ 401,/m/04fq5q,"Foghorn"
404
+ 402,/m/0l156k,"Whistle"
405
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406
+ 404,/t/dd00077,"Mechanisms"
407
+ 405,/m/02bm9n,"Ratchet, pawl"
408
+ 406,/m/01x3z,"Clock"
409
+ 407,/m/07qjznt,"Tick"
410
+ 408,/m/07qjznl,"Tick-tock"
411
+ 409,/m/0l7xg,"Gears"
412
+ 410,/m/05zc1,"Pulleys"
413
+ 411,/m/0llzx,"Sewing machine"
414
+ 412,/m/02x984l,"Mechanical fan"
415
+ 413,/m/025wky1,"Air conditioning"
416
+ 414,/m/024dl,"Cash register"
417
+ 415,/m/01m4t,"Printer"
418
+ 416,/m/0dv5r,"Camera"
419
+ 417,/m/07bjf,"Single-lens reflex camera"
420
+ 418,/m/07k1x,"Tools"
421
+ 419,/m/03l9g,"Hammer"
422
+ 420,/m/03p19w,"Jackhammer"
423
+ 421,/m/01b82r,"Sawing"
424
+ 422,/m/02p01q,"Filing (rasp)"
425
+ 423,/m/023vsd,"Sanding"
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+ 424,/m/0_ksk,"Power tool"
427
+ 425,/m/01d380,"Drill"
428
+ 426,/m/014zdl,"Explosion"
429
+ 427,/m/032s66,"Gunshot, gunfire"
430
+ 428,/m/04zjc,"Machine gun"
431
+ 429,/m/02z32qm,"Fusillade"
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+ 430,/m/0_1c,"Artillery fire"
433
+ 431,/m/073cg4,"Cap gun"
434
+ 432,/m/0g6b5,"Fireworks"
435
+ 433,/g/122z_qxw,"Firecracker"
436
+ 434,/m/07qsvvw,"Burst, pop"
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+ 435,/m/07pxg6y,"Eruption"
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+ 436,/m/07qqyl4,"Boom"
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+ 437,/m/083vt,"Wood"
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+ 438,/m/07pczhz,"Chop"
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+ 439,/m/07pl1bw,"Splinter"
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+ 440,/m/07qs1cx,"Crack"
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+ 441,/m/039jq,"Glass"
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+ 442,/m/07q7njn,"Chink, clink"
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+ 443,/m/07rn7sz,"Shatter"
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+ 444,/m/04k94,"Liquid"
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+ 445,/m/07rrlb6,"Splash, splatter"
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+ 446,/m/07p6mqd,"Slosh"
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+ 447,/m/07qlwh6,"Squish"
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+ 448,/m/07r5v4s,"Drip"
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+ 449,/m/07prgkl,"Pour"
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+ 457,/m/0790c,"Sonar"
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+ 458,/m/0dl83,"Arrow"
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+ 459,/m/07rqsjt,"Whoosh, swoosh, swish"
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+ 462,/m/0b_fwt,"Electronic tuner"
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+ 463,/m/02rr_,"Effects unit"
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+ 464,/m/07m2kt,"Chorus effect"
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+ 465,/m/018w8,"Basketball bounce"
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+ 466,/m/07pws3f,"Bang"
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+ 467,/m/07ryjzk,"Slap, smack"
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+ 470,/m/07pc8lb,"Breaking"
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+ 471,/m/07pqn27,"Bouncing"
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+ 472,/m/07rbp7_,"Whip"
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+ 473,/m/07pyf11,"Flap"
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+ 474,/m/07qb_dv,"Scratch"
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+ 475,/m/07qv4k0,"Scrape"
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+ 476,/m/07pdjhy,"Rub"
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+ 477,/m/07s8j8t,"Roll"
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+ 478,/m/07plct2,"Crushing"
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+ 479,/t/dd00112,"Crumpling, crinkling"
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+ 480,/m/07qcx4z,"Tearing"
483
+ 481,/m/02fs_r,"Beep, bleep"
484
+ 482,/m/07qwdck,"Ping"
485
+ 483,/m/07phxs1,"Ding"
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+ 484,/m/07rv4dm,"Clang"
487
+ 485,/m/07s02z0,"Squeal"
488
+ 486,/m/07qh7jl,"Creak"
489
+ 487,/m/07qwyj0,"Rustle"
490
+ 488,/m/07s34ls,"Whir"
491
+ 489,/m/07qmpdm,"Clatter"
492
+ 490,/m/07p9k1k,"Sizzle"
493
+ 491,/m/07qc9xj,"Clicking"
494
+ 492,/m/07rwm0c,"Clickety-clack"
495
+ 493,/m/07phhsh,"Rumble"
496
+ 494,/m/07qyrcz,"Plop"
497
+ 495,/m/07qfgpx,"Jingle, tinkle"
498
+ 496,/m/07rcgpl,"Hum"
499
+ 497,/m/07p78v5,"Zing"
500
+ 498,/t/dd00121,"Boing"
501
+ 499,/m/07s12q4,"Crunch"
502
+ 500,/m/028v0c,"Silence"
503
+ 501,/m/01v_m0,"Sine wave"
504
+ 502,/m/0b9m1,"Harmonic"
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+ 503,/m/0hdsk,"Chirp tone"
506
+ 504,/m/0c1dj,"Sound effect"
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+ 505,/m/07pt_g0,"Pulse"
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+ 506,/t/dd00125,"Inside, small room"
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+ 507,/t/dd00126,"Inside, large room or hall"
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+ 508,/t/dd00127,"Inside, public space"
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+ 509,/t/dd00128,"Outside, urban or manmade"
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+ 510,/t/dd00129,"Outside, rural or natural"
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+ 511,/m/01b9nn,"Reverberation"
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+ 512,/m/01jnbd,"Echo"
515
+ 513,/m/096m7z,"Noise"
516
+ 514,/m/06_y0by,"Environmental noise"
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+ 515,/m/07rgkc5,"Static"
518
+ 516,/m/06xkwv,"Mains hum"
519
+ 517,/m/0g12c5,"Distortion"
520
+ 518,/m/08p9q4,"Sidetone"
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+ 519,/m/07szfh9,"Cacophony"
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+ 520,/m/0chx_,"White noise"
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+ 521,/m/0cj0r,"Pink noise"
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+ 522,/m/07p_0gm,"Throbbing"
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metadata/audiocaps/gen_weight_file.py ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # -*- coding: utf-8 -*-
2
+ # @Time : 11/17/20 3:22 PM
3
+ # @Author : Yuan Gong
4
+ # @Affiliation : Massachusetts Institute of Technology
5
+ # @Email : yuangong@mit.edu
6
+ # @File : gen_weight_file.py3
7
+
8
+ # gen sample weight = sum(label_weight) for label in all labels of the audio clip, where label_weight is the reciprocal of the total sample count of that class.
9
+ # Note audioset and fsd50k are multi-label datasets
10
+
11
+ import argparse
12
+ import json
13
+ import numpy as np
14
+ import sys, os
15
+ import csv
16
+
17
+ parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
18
+ parser.add_argument("--dataset", type=str, default="audioset", help="training optimizer", choices=["audioset", "vggsound" ,"fsd50k", "nsynth_inst","nsynth_pitch","speechcommand"])
19
+ parser.add_argument("--label_indices_path", type=str, default="/mnt/fast/nobackup/users/hl01486/metadata/audioset/class_labels_indices.csv", help="the label vocabulary file.")
20
+ parser.add_argument("--datafile_path", type=str, default='./datafiles/balanced_train_data.json', help="the path of data json file")
21
+
22
+ def make_index_dict(label_csv):
23
+ index_lookup = {}
24
+ with open(label_csv, 'r') as f:
25
+ csv_reader = csv.DictReader(f)
26
+ line_count = 0
27
+ for row in csv_reader:
28
+ index_lookup[row['mid']] = row['index']
29
+ line_count += 1
30
+ return index_lookup
31
+
32
+ if __name__ == '__main__':
33
+ args = parser.parse_args()
34
+ data_path = args.datafile_path
35
+
36
+ index_dict = make_index_dict(args.label_indices_path)
37
+ if("audioset" in args.dataset):
38
+ num_class = 527
39
+ elif("fsd" in args.dataset):
40
+ num_class = 200
41
+ elif("speechcommand" in args.dataset):
42
+ num_class = 35
43
+ elif("nsynth_inst" in args.dataset):
44
+ num_class = 11
45
+ elif("nsynth_pitch" in args.dataset):
46
+ num_class = 128
47
+ elif("vggsound" in args.dataset):
48
+ num_class = 309
49
+
50
+ label_count = np.zeros(num_class)
51
+
52
+ with open(data_path, 'r', encoding='utf8')as fp:
53
+ data = json.load(fp)
54
+ data = data['data']
55
+
56
+ for sample in data:
57
+ sample_labels = sample['labels'].split(',')
58
+ for label in sample_labels:
59
+ label_idx = int(index_dict[label])
60
+ label_count[label_idx] = label_count[label_idx] + 1
61
+
62
+ # the reason not using 1 is to avoid underflow for majority classes, add small value to avoid underflow
63
+ label_weight = 1000.0 / (label_count + 0.01)
64
+ sample_weight = np.zeros(len(data))
65
+
66
+ for i, sample in enumerate(data):
67
+ sample_labels = sample['labels'].split(',')
68
+ for label in sample_labels:
69
+ label_idx = int(index_dict[label])
70
+ # summing up the weight of all appeared classes in the sample, note audioset is multiple-label classification
71
+ sample_weight[i] += label_weight[label_idx]
72
+ np.savetxt(data_path[:-5]+'_weight.csv', sample_weight, delimiter=',')
73
+
74
+
75
+
metadata/audiocaps/prep.py ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from curses import meta
2
+ import os
3
+ import pandas as pd
4
+ import json
5
+ from tqdm import tqdm
6
+
7
+ AUDIOSET_PATH_DICT = {}
8
+
9
+ segment_label_path = "/mnt/fast/nobackup/scratch4weeks/hl01486/datasets/audiocaps_segment_labels/averaged"
10
+
11
+ audiocaps_csv = [
12
+ "test.csv",
13
+ "train.csv",
14
+ "val.csv"
15
+ ]
16
+
17
+ audioset_path = {
18
+ "bal_unbal_train": "/mnt/fast/nobackup/users/hl01486/metadata/audioset/datafiles/audioset_bal_unbal_train_data.json",
19
+ "eval": "/mnt/fast/nobackup/users/hl01486/metadata/audioset/datafiles/audioset_eval_data.json",
20
+ "bal_train": "/mnt/fast/nobackup/users/hl01486/metadata/audioset/datafiles/audioset_bal_train_data.json",
21
+ }
22
+
23
+ def read_json(dataset_json_file):
24
+ with open(dataset_json_file, 'r') as fp:
25
+ data_json = json.load(fp)
26
+ return data_json['data']
27
+
28
+ def build_audioset_metadata():
29
+ metadata_list = []
30
+ for k in audioset_path.keys():
31
+ metadata_list += read_json(audioset_path[k])
32
+ for each in metadata_list:
33
+ wav_path = each["wav"]
34
+ audio_basename = os.path.basename(wav_path)[:-4]
35
+ labels = each["labels"]
36
+ AUDIOSET_PATH_DICT[audio_basename] = [wav_path, labels]
37
+
38
+ def read_audiocaps_csv(csvfile):
39
+ df = pd.read_csv(csvfile)
40
+ data_list = []
41
+ for row in tqdm(df.iterrows()):
42
+ instance = {}
43
+ file_object = row[1]
44
+ audiocap_id = file_object["audiocap_id"]
45
+ youtube_id = file_object["youtube_id"]
46
+ start_time = file_object["start_time"]
47
+ caption = file_object["caption"]
48
+
49
+ try:
50
+ wav, labels = lookup_path(youtube_id)
51
+ except Exception as e:
52
+ print(e)
53
+ continue
54
+
55
+ instance["wav"]=wav
56
+ instance["seg_label"]=os.path.join(segment_label_path, "Y%s.npy" % youtube_id)
57
+ instance["labels"]=labels
58
+ instance["caption"]=caption
59
+ data_list.append(instance)
60
+ return data_list
61
+
62
+ def lookup_path(youtube_id):
63
+ metadata = AUDIOSET_PATH_DICT["Y"+youtube_id]
64
+ return metadata[0], metadata[1]
65
+
66
+ def save_json(wav_list, fname):
67
+ with open('datafiles/%s.json' % fname, 'w') as f:
68
+ json.dump({'data': wav_list}, f, indent=1)
69
+
70
+ build_audioset_metadata()
71
+
72
+ for file in audiocaps_csv:
73
+ meta = read_audiocaps_csv(file)
74
+ save_json(meta, fname=file)
75
+
76
+ import ipdb; ipdb.set_trace()
77
+
metadata/audiocaps/test.csv ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat.json ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_0.json ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_1.json ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_2.json ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_2_filename_to_caption_mapping.json ADDED
@@ -0,0 +1,966 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "Y7fmOlUlwoNg.wav": "A machine is making clicking sound as people talk in the background",
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+ "Y6BJ455B1aAs.wav": "A missile launching followed by an explosion and metal screeching as a motor hums in the background.",
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+ "YGOD8Bt5LfDE.wav": "A toy train running as a young boy talks followed by plastic clanking then a child laughing",
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+ "YYQSuFyFm3Lc.wav": "Clattering of a train is ongoing, a railroad crossing bell rings, and a train horn blows",
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+ "YVjSEIRnLAh8.wav": "Food sizzling with some knocking and banging followed by a woman speaking",
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+ "YDlWd7Wmdi1E.wav": "A man talks while several animals make noises in the background",
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+ "YYNDKuNINDOY.wav": "An emergency siren ringing with car horn honking",
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+ "YfsBR7e_X_0Y.wav": "An infant yelling as a young boy talks while a hard surface is slapped several times",
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+ "YtjCNwdOUiGc.wav": "A bus engine running followed by a bus horn honking",
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+ "YyL3gKa6YLoM.wav": "A man speaking followed by snoring",
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+ "YLbken4JCr94.wav": "Rolling thunder with lightning strikes",
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+ "Y_xylo5_IiaM.wav": "A woman and a baby are having a conversation",
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+ "YsVYTOURVsQ0.wav": "Water trickling with man speaking",
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+ "YSmdj6JFB9MQ.wav": "Female speech, a toilet flushing and then more speech",
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+ "Yu84FiZ_omhA.wav": "Loud high humming and croaking sound",
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+ "Ykx6Rj4MDIAw.wav": "A cuckoo bird coos followed by a train running on railroad tracks as a bell dings in the background",
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+ "YPLHXGDnig4M.wav": "A man talking then meowing and hissing",
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+ "YZ0IrCa4MvOA.wav": "Water flowing through pipes",
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+ "Y14ekd4nkpwc.wav": "An infant crying followed by a man laughing",
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+ "YyfYNPWs7mWY.wav": "A man speaking, followed by a door shutting, and then the man speaks some more",
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+ "YuhSDBwVrEdo.wav": "The wind is blowing, and a person is whistling a tune",
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+ "YYQGW5AwDOIo.wav": "Motor vehicles are driving with loud engines and a person whistles",
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+ "YMe4npKmtchA.wav": "Bubbles gurgling and water spraying as a man speaks softly while crowd of people talk in the background",
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+ "YgbtcDoh0q3c.wav": "Metal clacking followed by a man talking then a metal bang as footsteps shuffle on dirt and a group of men laugh",
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+ "Y9HVgYs8OOLc.wav": "A man talking then a young boy talking followed by a loud pop as pigeons coo and bird wings flap",
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+ "YOpiWMltpj44.wav": "Ducks quack and water splashes with some animal screeching in the background",
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+ "Y9ZZHvwaH-CU.wav": "Multiple gun shots woman screaming",
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+ "YK_Vre_-4KqU.wav": "An aircraft engine runs and vibrates, metal spinning and grinding occur, and the engine accelerates and fades into the distance",
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+ "YqeSl7YZAfs4.wav": "A man is talking as tap water is running",
31
+ "Y4IeDBwyQ9ZQ.wav": "Woman speaking, plastic container opening",
32
+ "YArHiac57pVk.wav": "A male speaking",
33
+ "YqZEIs6tS5vk.wav": "A vehicle engine revving followed by tires skidding as a group of people talk in the background",
34
+ "Ypaf0nyjg1Js.wav": "A woman talking followed by a plate rattling as food and oil sizzle",
35
+ "YBZCEDkx37rI.wav": "Humming of an idling engine",
36
+ "YFR7BDRhMATo.wav": "A train running on railroad tracks as a train horn whistle blows several times while railroad crossing warning signals are ringing",
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+ "YXJba7pTbpD0.wav": "Several varying hisses",
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+ "YCeRoaEcqUgM.wav": "A motorboat driving by as water splashes followed by wind blowing into a microphone",
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+ "Yzq00Oe1ecpE.wav": "A bus engine slowing down then accelerating",
40
+ "YztSjcZNUY7A.wav": "A woman talks as a baby cries",
41
+ "YglAeihz0NAM.wav": "Kids laughing then talking followed by a young man talking as wind blows into a microphone",
42
+ "YCM49C3RkzV8.wav": "A woman delivers a speech",
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+ "YH-vTZh81qAU.wav": "Clicking followed by humming noise",
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+ "Yup2PpjTzyyc.wav": "Electronic beeping followed by a cat singing then meowing as paper shuffles and a man talks with music playing in the background",
45
+ "YdlsiellSFf0.wav": "A high frequency motor hums loudly and splashes water",
46
+ "Y0jGH7A_hpBM.wav": "An adult male speaks, followed by another adult male speaking",
47
+ "YCefFMA3klxk.wav": "A horn and then an engine revving",
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+ "YKnXNy5Q6YS4.wav": "Man speaking while insects buzz around",
49
+ "YcPiSd5nJLrI.wav": "Screaming and a big explosion and then screaming",
50
+ "YrJVXE6Axtrg.wav": "A man speaks and a machine runs with a continued speech",
51
+ "YFA11v4SmdBc.wav": "Man speaks followed by whistling",
52
+ "Y3iLGu2Omgrw.wav": "A man speaking",
53
+ "YQvATUKXYFBs.wav": "Warning bells ring and a train passes with a honking horn",
54
+ "Y_ezm-TpKj1w.wav": "Humming of a revving idling engine with people speaking in the distance",
55
+ "Yq46VXJ6JN9M.wav": "Birds are chirping in the background, rustling and clattering ensue, then a hissing spray and more rustling and clattering occur",
56
+ "YYEYeQ0lIkBQ.wav": "A man talking then laughing as a ducks quack",
57
+ "Y31WGUPOYS5g.wav": "The buzz of the crowd is interrupted by a child shouting, followed by a police siren and a horn honking",
58
+ "YKtTLsveexOg.wav": "A sewing machine running as a steam hisses followed by a machine motor sharply running in the background",
59
+ "Y5QZ0NtdoKJ8.wav": "Continuous digital beeps with a person speaking and bird chirping in the background",
60
+ "Y_AcJVyToQUQ.wav": "Laughter and a female speaking and then a male vocalizing a sneezing sound",
61
+ "YkEP-BwMarf8.wav": "A wrapper crinkling and a woman's soft voice",
62
+ "Y7D7xgd4WJ50.wav": "A medium-pitched, metal bell is ringing",
63
+ "YyVVLq4ao1Ck.wav": "Insects trill in the background, while birds chirp and flies buzz",
64
+ "YS0YE96w0YRk.wav": "A man speaking followed by a crowd of people laughing then applauding",
65
+ "Ylh801oHGtD4.wav": "A man talking as an electronic device hums followed by a door closing",
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+ "YPb6MqpdX5Jw.wav": "A horse gallops then trot on grass as gusts of wind blow and thunderclaps in the distance",
67
+ "Y9U8COLzEegs.wav": "Water running softly in the background followed by several shrill beeps and a man speaking",
68
+ "Ydxow2DcTrwk.wav": "A man and a woman talking while rain falls, followed by a crash of thunder",
69
+ "Ya0yXS7PmVR0.wav": "Praying with mechanical noise in background",
70
+ "Y0a9wVat2PWk.wav": "A train sounds horn and travels",
71
+ "Ybgbnu5YKTDg.wav": "A man is speaking followed by gunfire",
72
+ "YCO6-i8NLbeo.wav": "A man talking followed by a goat baaing then a metal gate sliding shut as ducks quack and wind blows into a microphone",
73
+ "YpI_kPedctoo.wav": "An engine running and being revved and some muffled speech",
74
+ "YEYTz1LPDHsc.wav": "A car door opening as a crow caws and birds chirp followed by a vehicle driving by in the background",
75
+ "YD9tinq3RMpU.wav": "A large motor is running smoothly, water is splashing, people are talking in the background, and an adult male speaks in the distance",
76
+ "YEzWEO2WD_MM.wav": "High frequency humming followed by a smack",
77
+ "YtfOIhQpYYe8.wav": "A helicopter flying as a man talks in the background",
78
+ "Y_w2pA1VeB40.wav": "Continuous laughter",
79
+ "YJnSwRonB9wI.wav": "A muffled motorboat engine running as a group of people are laughing and screaming while water splashes and sprays",
80
+ "YRNBoH2LHQEM.wav": "A crowd of people applauding",
81
+ "YpaetCbEqp2w.wav": "Some light tapping on a computer keyboard and a baby crying",
82
+ "YLs1zyPjs3k8.wav": "A bleeping noise followed by a static noise",
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+ "YK03ydb1uaoQ.wav": "Static sounds are vibrating along with snoring",
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+ "Yific_gRalg0.wav": "A series of loud metal hammering as liquid drains down a pipe followed by a metal chain rattling",
85
+ "YBlbGXalLNVU.wav": "Surf comes ashore as a man speaks",
86
+ "Y1nUOGZgSzZo.wav": "Water is splashing and a man laughs",
87
+ "Yc0V_HAul7rI.wav": "People laugh and speak",
88
+ "YPtW0cZVprJQ.wav": "Snoring followed by male speech",
89
+ "YAbplcXwXnvE.wav": "Female speaking followed by crinkling",
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+ "Yd1tL-9BILy8.wav": "Pigeons cooing followed by camera muffling",
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+ "Yy93cZqNCtks.wav": "A man talking as footsteps run on concrete followed by a series of gunshots firing a gun cocking while another man talks in the background before a dog growls",
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+ "YL2dyilgQ8iM.wav": "Muffled rustling noise over wind blowing over a microphone",
95
+ "YWWkhzcmx3VE.wav": "A duck quacking",
96
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97
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+ "YE6FH_xp3I54.wav": "A man is speaking followed by birds chirping",
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+ "YOMGHnJV0l2U.wav": "Scraping and banging",
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+ "Y-NsC63dA01g.wav": "An adult female speaks as a cat meows three times, and an electronic device plays in the background",
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+ "YfGGYeXR_LS8.wav": "Whistling is ongoing while an adult male speaks, and water is pattering in the background",
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+ "YhJtOGmN_KVw.wav": "Plastic crinkling and paper sliding as a man talks",
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+ "YUmNrhFKpWIY.wav": "A car engine revs and then shuts off",
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+ "YxBZnvfniA1c.wav": "A man speaks, and a child speaks followed by laughter",
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+ "YUCy1BEx8jBE.wav": "A man speaking as a stream of water sprays and splashes",
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+ "YalaxBd_EEUc.wav": "A man speaks briefly followed by a succession of several eructations",
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+ "YlfO471Rn61k.wav": "Steam escapes with a hissing noise",
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+ "YHZ9O6sc7cLA.wav": "A woman speaks followed by a dog barking",
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+ "Y41D0yXSBqfI.wav": "Pigeons cooing and bird wings flapping while gravel shuffles and wood clacks",
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+ "YJ0yeFeKvIt8.wav": "Wind blowing and leaves rustling followed by plastic clicking and wind blowing into a microphone",
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+ "YKvrcRMfFzOE.wav": "A helicopter is in flight with loud blades moving fast",
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+ "Y7cHRSfbp7tc.wav": "A group of people talking as dishes clack followed by wood knocking",
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+ "YNeWW30WZjPc.wav": "A dog barks and rustles with some clicking",
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+ "YdYvL6uEMl6E.wav": "A helicopter flying followed by wind heavily blowing into a microphone",
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+ "YjjHIINDfE1c.wav": "A tractor driving by as a car horn honks while wind blows into a microphone",
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+ "YsqsI2UyrcBQ.wav": "A vehicle engine accelerating and revving",
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+ "YjOYvIISk--4.wav": "A man speaking followed by a faucet turning on and off while pouring water twice proceeded by water draining down a pipe",
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+ "Y3MoF8myFs8Y.wav": "A strong wind is blowing and constant background waves can be heard",
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+ "YPMMkPq5jJXY.wav": "A person burps as people laugh",
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+ "YAtkD-3GjXMw.wav": "Singing and music with faint gunshots",
127
+ "Y6Nvu6EcpdE8.wav": "Wind blows and a man speaks with a quick pop",
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+ "YzoxFl3pddMg.wav": "A frog chirping with distant speaking of a person",
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+ "YVQnmlf2OsUg.wav": "A toy helicopter flying",
130
+ "YB4SZwi9Ce3o.wav": "A man talking and plastic clicking as a vehicle engine accelerates",
131
+ "Y9ucb5HYO8ps.wav": "A burp followed by laughter and speech",
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+ "YNJEPbGVBJIQ.wav": "A man speaks followed by a vehicle revving",
133
+ "YZYWCwfCkBp4.wav": "Rustling and sanding on wood with distant music playing",
134
+ "Y9XqkKuTqEOM.wav": "Some rustling and scratching with a short click",
135
+ "Y3IguMJkqpl4.wav": "People speaking followed by a duck quacking and a child crying",
136
+ "YUhCzD6EBJBU.wav": "A power tool drilling followed by metal clacking then a man talking proceeded by a door closing shut",
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+ "YTQr9v-PQOc4.wav": "A person sneezes and coughs",
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+ "Y0NGSrwioYjA.wav": "A man speaking followed by a goat baaing",
139
+ "Y6Pywt0f_NFY.wav": "Water trickling as a machine hums in the background followed by water spraying",
140
+ "Yh5_1pnkl_SY.wav": "Middle aged man speaks foreign language while water is trickling",
141
+ "Yfx4r_KuW6No.wav": "Adult female is speaking and a young child is crying",
142
+ "Y9F3sutgYTvo.wav": "A man is speaking and a baby whimpers followed by a woman talking",
143
+ "Y7P6lcyeDKNI.wav": "A bicycle peddling on dirt and gravel followed by a man speaking then laughing",
144
+ "YQHfyKaOHSz4.wav": "A fly buzzing and a frog croaking with musical sounds",
145
+ "YSE_3nszEw7o.wav": "Hissing and clinking",
146
+ "Y_iUX8CibElk.wav": "Humming sounds from a distance",
147
+ "Y2JutOgAnqWA.wav": "A tool motor is running, a rattling sound occurs, then humming also, then soft squealing occurs",
148
+ "YbX2vDaHL26U.wav": "A car skidding its tires and racing away",
149
+ "YXf5LjaE_JQ0.wav": "Traffic sounds going by as man speaks",
150
+ "YCh0LMmhBUg4.wav": "A man speaks with some distant hum and a child speaking",
151
+ "Yl5KdHAWwJCw.wav": "Ticking of a clock",
152
+ "YVE6Ku0-ucUM.wav": "A man speaks followed by a popping noise and laughter",
153
+ "YYIqpIjjee00.wav": "A flush occurs with water splashing and gurgling, and then water runs steadily",
154
+ "YItS07xtdi4s.wav": "Fire igniting as a motor runs followed by an electronic beep and vehicle engines running idle then car horns honking",
155
+ "YHeEa1GZpUGI.wav": "Several gunshots followed by a click and glass breaking",
156
+ "YjjfUaMQaG1A.wav": "A man talking followed by plastic clacking then a power tool drilling",
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+ "Y79XDcI6xZm0.wav": "A crowd chants, an adult male speaks in the foreground, a member of the crowd shouts, and the adult male continues to speak",
158
+ "Y52IxrdTxGs4.wav": "An explosion and heart beating as instrumental music plays followed by a man talking",
159
+ "YlJayhiVzl_E.wav": "Humming and rumbling of a powerful engine with wind blowing",
160
+ "YgQMTOKsCIyk.wav": "A group of birds chirping and ducks quacking followed by a man speaking",
161
+ "YLs2vrr9TamU.wav": "Drilling and crackling",
162
+ "Y4SZ7JXDCNps.wav": "A car engine revving",
163
+ "YzIgGMlZENTs.wav": "A duck quacks followed by a man talking",
164
+ "Y1GgEpRZDWN0.wav": "A man and woman speak",
165
+ "YqF72bT878gw.wav": "Humming from an engine with wind blowing hard",
166
+ "YrgrmLLhxoCQ.wav": "Repeated scraping on two different surfaces",
167
+ "YVeCSHwtkBZU.wav": "A police siren going off",
168
+ "YZ1Cyj4N05lk.wav": "Whistling with small rustling and groaning",
169
+ "YXplKBvZaHXA.wav": "A man talking as a motorbike engine revs and accelerates",
170
+ "Yhzn_wGlzGpU.wav": "An aircraft engine accelerating followed by an object clanking against fiberglass as an emergency siren sounds in the background",
171
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654
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664
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665
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666
+ "Y7_smJ8VbfSU.wav": "Female speaking",
667
+ "YFXdoNvmrYxo.wav": "A young girl talking followed by a man talking then a young boy softly talking as birds are chirping in the background",
668
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669
+ "Ya3GzZKxUTy8.wav": "Birds chirping and then a dog barking and a duck quaking",
670
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672
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674
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676
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677
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678
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679
+ "YYH4qi8Ul6v0.wav": "A man talking as an infant is crying followed by a man humming",
680
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681
+ "YL6rnV0oNIII.wav": "Laser followed by a gun shot",
682
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683
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684
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685
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686
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691
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692
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693
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694
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695
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698
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699
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700
+ "Y-SkjbQVgJ0M.wav": "A car passes by shortly after a man starts talking",
701
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702
+ "YVMsbrcHPBfk.wav": "A man mimics a goat bleating",
703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
+ "YCBwXKOpJY_o.wav": "A woman and young boy talking",
720
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723
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724
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725
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726
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727
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728
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729
+ "Y1wW0YJQ-Xa0.wav": "A person coughing followed by a series of compressed air sprays as tin and plastic rattle then a man speaking as a crowd of people talk in the background",
730
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731
+ "YxbLW9Wt1Jsg.wav": "Some rustling with short bursts of vibrations from a sewing machine",
732
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733
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734
+ "YyRoKi7rhSRo.wav": "A toilet flushes and water drains",
735
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736
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737
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738
+ "YOVQMFBeCHq0.wav": "Low frequency emergency siren going off followed by the siren slowing briefly",
739
+ "YXz56Q2Q5j5c.wav": "Wood being scraped along with mechanical sounds",
740
+ "Y9z2OwpftxUE.wav": "Heavy wind and thunder",
741
+ "Yn4VktYihtJU.wav": "Strong gusts of wind are followed by cheers and shouts from several people plus the chatter of girl",
742
+ "Y0_K6OKtoBBU.wav": "A cat is meowing",
743
+ "Y9hxFqltp3xw.wav": "A woman speaking followed by spraying",
744
+ "YLvMA1Wcgu3w.wav": "A man talking followed by plastic creaking and clacking as frogs croak and crickets chirp",
745
+ "YW4GEwnXc9tQ.wav": "While music plays in the background, a frog croaks, young females speak and laugh, and a young male speaks",
746
+ "YHxZADVzNIqs.wav": "Birds chirping and water dripping with some banging in the background",
747
+ "Y9vZDsGjyh5M.wav": "Vehicle motor running",
748
+ "Y9MgGaTbmc6g.wav": "A vehicle revving and accelerating as tires skid and squeak on a road",
749
+ "YlX3k5p2I_g0.wav": "Man talking in the wind and someone yells in the background while an engine makes squealing and air puffing sounds",
750
+ "Yeu5bq0A3XVQ.wav": "A male voice talks after doing some burps",
751
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752
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753
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754
+ "YmVjub3o_IxE.wav": "Constant squeaking occurs while a man speaks",
755
+ "YQRtuOWWya30.wav": "Metal clacking followed by a man talking as metal rattles while light guitar music plays in the background",
756
+ "YBn4lc01q9vE.wav": "Water splashing followed by a woman speaking",
757
+ "YoNHCc_izsDE.wav": "Water splashing and a baby laughing",
758
+ "Y4pv3w--cRrA.wav": "An electric motor runs then a person speaks",
759
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760
+ "Y22L_3pBa1AI.wav": "A car is shifting gears",
761
+ "YIdBDl9Wr51A.wav": "Synthesized laser effects and explosions as a man talks followed by a deeper voiced man talking then woman laughing",
762
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763
+ "Y8DQfjqPCTI8.wav": "Swarm of bees buzzing and two men speaking",
764
+ "YHdxfbpnd2-8.wav": "A man talking then whistling",
765
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766
+ "YS8k47ME-YT4.wav": "Plastic cranking as rain heavily pours while a stream of water rapidly flows",
767
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768
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769
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770
+ "Yram-QPKSQYc.wav": "Helicopter blades spinning then fading away",
771
+ "YMOxddxW5PXs.wav": "Food and oil sizzling as a man is talking while metal clanks against a pan",
772
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773
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774
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775
+ "YDNtF_mGzQes.wav": "A crowd of children talking as a man speaks over an intercom as a large truck engine runs idle followed by pressurized air releasing",
776
+ "YEp72tyiL3as.wav": "Thunder crashes and echos",
777
+ "YpTJKJxaheI8.wav": "A man speaks with faint ticks of a clock",
778
+ "YSoO1HhaEc9Q.wav": "Rhythmic squeaking is ongoing, pigs oink, an adult male speaks, and music plays faintly in the background",
779
+ "YMvHpNzDpC6Q.wav": "Men riding in the car talking then man burps loudly and then the other chuckles",
780
+ "Yyau2WIRkxb8.wav": "A small high frequency motor vibrates",
781
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782
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783
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784
+ "Y27HIamF8pKo.wav": "Railroad tracks clickety-clack as a train horn blasts",
785
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786
+ "Y_9mgOkzm-xg.wav": "A man speaks as food sizzles followed by some cracks",
787
+ "Y1Og2TJ3bXW0.wav": "An aircraft engine humming followed by plastic clanking then an aircraft engine slowing down",
788
+ "YWUpeplQr3A4.wav": "A man shrilling followed by a power tool drilling and a man screaming as liquid splatters",
789
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790
+ "YQoEal_hKz4Q.wav": "Gunshots, machine gun fire, and artillery fire are ongoing, an adult male speaks in the foreground, and another adult male speaks in the far background",
791
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792
+ "Y7RMpCCkQks0.wav": "An industrial motor is humming, and ripping and tearing are occurring",
793
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794
+ "YFi4-IqJo2xQ.wav": "Humming and rattling from a revving engine",
795
+ "YIKnx3hJv1bs.wav": "Bad quality audio",
796
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797
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798
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799
+ "YBwnGxJD9xh8.wav": "Speech and a goat bleating",
800
+ "YiOCpICiu4LA.wav": "Insects buzzing and birds chirping as a man talks followed by a loud plastic popping",
801
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802
+ "YENTi8Sn4vdM.wav": "A river stream flowing while a woman and a kid are talking as birds chirp in the background",
803
+ "YPRUfwpmYwJ8.wav": "A man talking as compressed air is spraying with wood clanking in the distance",
804
+ "YObWjGBJF_94.wav": "Hissing and rattling",
805
+ "YNtQiduPRiRg.wav": "A buzzing and laughter",
806
+ "Y8GHLfJ6y6zA.wav": "A man talking with keyboard typing and computer mouse clicking",
807
+ "Yn-JyOqYSLQM.wav": "Metal clanking followed by plastic rattling and air spraying with a group of people talking faintly in the background",
808
+ "YmaVYiednkSg.wav": "A man speaks with spraying and vibration in the background",
809
+ "YZUmZgPL0ges.wav": "Multiple large bells are madly ringing",
810
+ "YMSziND26UTA.wav": "Insects buzzing while wind is blowing on a microphone as music faintly plays followed by a rooster crowing",
811
+ "YDrCm-HpX67k.wav": "Opening and closing followed by tapping",
812
+ "YEUZaxaWqhwg.wav": "A slap occurs and an aircraft engine runs as a man and child talk",
813
+ "YhqPBcvex1VU.wav": "An infant crying as a woman mumbles",
814
+ "Yj_NSuPnx5LA.wav": "Dialing phone followed by clack sound",
815
+ "YEfk5kdn9lR8.wav": "Child talking then door crashing and her screaming",
816
+ "YfPqj3nnwQOI.wav": "Ocean waves crashing and water trickling",
817
+ "YZTYAQBnU4GM.wav": "Pet birds tweet, chirp, and sing while music plays",
818
+ "YFc9pG54DDJM.wav": "A toilet flushing followed by paper crinkling and a door slamming in the distance",
819
+ "YpHNMcX-9FDs.wav": "A dog whimpering constantly then ultimately growls",
820
+ "YR91bUbtKrRs.wav": "Two women are talking, and a baby cries",
821
+ "Ym8wV38lf2jg.wav": "Emergency sirens and muffled speech",
822
+ "YcNARVD02-tw.wav": "A man and an elderly woman talking as plastic clacks followed by a faucet pouring water as water runs down a drain",
823
+ "Yq1ivQ_2fddk.wav": "Constant hissing with mean having conversation",
824
+ "YqakN0JNbpcU.wav": "A man is speaking and a fly is buzzing around",
825
+ "YWLzzpzOKtnY.wav": "Male speech and an insect buzzing",
826
+ "Y4YMXgLFcR94.wav": "A man speaks and then an audience claps",
827
+ "YHdPSebdDxe4.wav": "A male speaking and then growling followed by more male speaking",
828
+ "Y_z6pymOet7g.wav": "A man talking followed by a toilet flushing",
829
+ "YnmLMLgWPmFM.wav": "A motorboat engine running as water splashes and a man shouts followed by birds chirping in the background",
830
+ "YtB8TiiXwKmA.wav": "A drill running",
831
+ "YpHYkWkZ4guE.wav": "Scraping and hissing with some light knocks",
832
+ "Ygbi6MxPf3hA.wav": "Winds and ocean waves crashing while a chime instrument briefly plays a melody",
833
+ "YtdpiXW68adA.wav": "A woman sobbing and speaking",
834
+ "Yi6MQCm58zlY.wav": "A critter squealing as a man is talking and leaves are rustling",
835
+ "YMkbP_8zJwXU.wav": "A bird chirping as water lightly trickles and wind blows into a microphone",
836
+ "YBrPFQDr99Gg.wav": "A crowd cheers and a man speaks",
837
+ "YcK2kSVR1d2o.wav": "Popping and cracking followed by a loud burst",
838
+ "Y8ZH_PoK0clI.wav": "Footsteps then a woman speaks followed by a door clanging",
839
+ "Yy_OyLW9lBXU.wav": "A baby cries and people speak",
840
+ "Yp9qRTh4BmSE.wav": "Adult males shout in the distance and an adult male shout close by, two adult males speak in the foreground, and gunfire erupts",
841
+ "Y3qTL7QRk-tg.wav": "Water running together with distant singing and brief clanking",
842
+ "Ysl_Pxpc7beo.wav": "A vehicle is honking the horn",
843
+ "YB3O476LeuXY.wav": "An idle motorbike engine running",
844
+ "YG0IsabU5hn4.wav": "Wind blowing heavily into a microphone as ocean waves crash and leaves rustle",
845
+ "Yw_Utn3CwAXE.wav": "A toilet flushes followed by a metal latch clanking then a door slowly creaking open",
846
+ "YrvtA7c1I4xo.wav": "Whooshing of wind followed by a man speaking with sneakers squeaking on hardwood",
847
+ "YI_8KqxP5xOA.wav": "A sprayer is spraying surfaces",
848
+ "Yorgwzt45ojE.wav": "A man speaks as pigeons coo and wings flap",
849
+ "YtwFypUcdgRc.wav": "A man yelling as another man is laughing as wind blows heavily into a microphone",
850
+ "Y6pssFJ0m-kU.wav": "Leaves rustle in the wind as small birds chirp",
851
+ "Y54eRRbCtPn8.wav": "An adult female speaks in a quiet environment",
852
+ "Yp_BB_rJaF7Q.wav": "Male speaking softly with nature sounds in background",
853
+ "Y350OCezayrk.wav": "An engine being turned over and then started",
854
+ "YK8-b0VtNOqA.wav": "Horses snorting then neighing as footsteps shuffle and people talk in the background",
855
+ "Y8ycflE3dIHw.wav": "Train passing followed by short honk",
856
+ "YBUAPM4D3-h8.wav": "Women, child talking and birds chirping",
857
+ "Y1IoHRTUp86c.wav": "An aircraft engine humming as a woman speaks over an intercom followed by an aircraft engine accelerating",
858
+ "YXQxIXaX_7M0.wav": "Water rushing loudly while a man yells in the background",
859
+ "Y4ftDFi4684Y.wav": "Several slight bangs occur during a constant ticktock",
860
+ "YeYbFtxZmKL4.wav": "Clanking and rustling with people faintly speaking and horse clip-clopping in the background",
861
+ "Yv59uHr-B1no.wav": "Frogs and crickets chirping during nature ambiance",
862
+ "YBz9Y5nZK3eo.wav": "Typing on a keyboard",
863
+ "Yc6YJgZ3qzOw.wav": "A toy helicopter flying followed by wind blowing into a microphone",
864
+ "Y3hzy-FL24no.wav": "A stream of water flowing and trickling as a small motor hum in the background followed by camera muffling",
865
+ "YwbPmnxCLoRQ.wav": "Several bells ringing rapidly and then a single bell",
866
+ "Ys_EWjoiVfzo.wav": "A sewing machine operating several times followed by metal clanking",
867
+ "YmSF_FqBtRPs.wav": "A telephone ringing with loud echo",
868
+ "Y5OM3tJh51pE.wav": "A lady speaking",
869
+ "Y_BSmz3SEW1w.wav": "Pigeons coo and rustle",
870
+ "YOt0bN_hz2ec.wav": "A train horn honks with a train racing by",
871
+ "YHkbCUN4V3TU.wav": "A girl screams and people speak",
872
+ "YTSdAJWJ-tW0.wav": "Two vehicles drive by as a man is speaking in the distance",
873
+ "Y4sb9jN0SgTM.wav": "A motor vehicle engine runs and revs, then it stops and an adult male speaks",
874
+ "YDjKGzOe_COc.wav": "A woman is performing a speech",
875
+ "YMtK8L8gXRrI.wav": "A toilet is flushing followed by a cat meowing",
876
+ "Y1FNJbN-eHY4.wav": "Burping and girls laughing with many voices in the background",
877
+ "YtNxfdAd14qE.wav": "Mechanical rotation and then a loud click occurs",
878
+ "YlgwpIImXCWA.wav": "A man briefly speaks followed by a sawing sound, and then starts talking again",
879
+ "YXi6V0LGvqoo.wav": "A dog barking followed by a dog growling as footsteps squeak on a hard surface floor and followed by series of metal clicks",
880
+ "YK-7Y8yhcUiw.wav": "An animal snores",
881
+ "Y0AsXkZkqelg.wav": "A loud bang followed by an engine idling loudly",
882
+ "Y6ukYSXzfEgQ.wav": "Metal clacking followed by water flowing and splashing into a container then draining down a pipe",
883
+ "YBoe3MeEpn_c.wav": "A man speaking, with the clinking of dishes in the background, following by the hiss of an oil mister spraying",
884
+ "Y1WTSW96XP6E.wav": "A man speaks followed by several clicks then an engine struggling to start",
885
+ "YAI1OweEW8C0.wav": "Light rain and water dripping followed by thunder",
886
+ "YcFoXRmGgIME.wav": "A train horn honking as a train is running on a railroad track and wind is blowing into a microphone",
887
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+ "caption": "Birds cackling and young peoples voices"
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+ }
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+ ]
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+ }
metadata/audiocaps/testset_subset/copy_subset_file_to_folders.py ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import json
3
+
4
+ def write_json(my_dict, fname):
5
+ # print("Save json file at "+fname)
6
+ json_str = json.dumps(my_dict)
7
+ with open(fname, 'w') as json_file:
8
+ json_file.write(json_str)
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+
10
+ def load_json(fname):
11
+ with open(fname,'r') as f:
12
+ data = json.load(f)
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+ return data
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+
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+ for i in range(5):
16
+ target_folder = "/mnt/fast/nobackup/users/hl01486/datasets/audiocaps_test_subset/%s" % i
17
+ metadata = "/mnt/fast/nobackup/users/hl01486/metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_%s.json" % i
18
+ os.makedirs(target_folder, exist_ok=True)
19
+ meta = load_json(metadata)["data"]
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+
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+ for each in meta:
22
+ filepath = each["wav"]
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+ cmd = "cp %s %s" % (filepath, target_folder)
24
+ # os.system(cmd)
metadata/audiocaps/testset_subset/main.py ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import json
3
+
4
+ def write_json(my_dict, fname):
5
+ # print("Save json file at "+fname)
6
+ json_str = json.dumps(my_dict)
7
+ with open(fname, 'w') as json_file:
8
+ json_file.write(json_str)
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+
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+ def load_json(fname):
11
+ with open(fname,'r') as f:
12
+ data = json.load(f)
13
+ return data
14
+
15
+ filepath = "/mnt/fast/nobackup/users/hl01486/metadata/audiocaps/datafiles/audiocaps_test_label.json"
16
+
17
+ metadata = load_json(filepath)
18
+ new_metadata = {}
19
+ new_metadata["data"] = []
20
+ already_have = []
21
+
22
+ for each in metadata["data"]:
23
+ if(os.path.basename(each["wav"]) in already_have):
24
+ continue
25
+ else:
26
+ already_have.append(os.path.basename(each["wav"]))
27
+ new_metadata["data"].append(each)
28
+
29
+ write_json(new_metadata, "/mnt/fast/nobackup/users/hl01486/metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat.json")
30
+ import ipdb; ipdb.set_trace()
metadata/audiocaps/testset_subset/main_to_five_subsets.py ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import json
3
+
4
+ def write_json(my_dict, fname):
5
+ # print("Save json file at "+fname)
6
+ json_str = json.dumps(my_dict)
7
+ with open(fname, 'w') as json_file:
8
+ json_file.write(json_str)
9
+
10
+ def load_json(fname):
11
+ with open(fname,'r') as f:
12
+ data = json.load(f)
13
+ return data
14
+
15
+ filepath = "/mnt/fast/nobackup/users/hl01486/metadata/audiocaps/datafiles/audiocaps_test_label.json"
16
+
17
+ metadata = load_json(filepath)
18
+
19
+ already_have = []
20
+
21
+ current_meta = {}
22
+
23
+ for each in metadata["data"]:
24
+ if(os.path.basename(each["wav"]) not in current_meta.keys()):
25
+ current_meta[os.path.basename(each["wav"])] = []
26
+ current_meta[os.path.basename(each["wav"])].append(each)
27
+
28
+ for i in range(5):
29
+ new_metadata = {}
30
+ new_metadata["data"] = []
31
+ for k in current_meta.keys():
32
+ new_metadata["data"].append(current_meta[k][i])
33
+ write_json(new_metadata, "/mnt/fast/nobackup/users/hl01486/metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_%s.json" % i)
34
+ import ipdb; ipdb.set_trace()
metadata/audiocaps/train.csv ADDED
The diff for this file is too large to render. See raw diff
 
metadata/audiocaps/val.csv ADDED
The diff for this file is too large to render. See raw diff
 
metadata/dataset_root.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audiocaps": "./data/dataset/audioset",
3
+ "comments":{
4
+ },
5
+
6
+ "metadata":{
7
+ "path": {
8
+ "audiocaps":{
9
+ "train": "./data/dataset/metadata/audiocaps/datafiles/audiocaps_train_label.json",
10
+ "test": "./data/dataset/metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_0.json",
11
+ "val": "./data/dataset/metadata/audiocaps/testset_subset/audiocaps_test_nonrepeat_subset_0.json",
12
+ "class_label_indices": "./data/dataset/metadata/audiocaps/class_labels_indices.csv"
13
+ }
14
+ }
15
+ }
16
+ }