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audio
audioduration (s)
19.8
629
sample_id
stringlengths
6
11
source_id
int64
2
149
source_category
stringclasses
3 values
source_song
stringlengths
10
49
split
stringclasses
1 value
sample_rate
int64
44.1k
44.1k
num_channels
int64
2
2
bit_depth
int64
16
16
duration_s
float64
19.8
629
rms_dbfs
float64
-52.78
-14.91
peak_dbfs
float64
-38.87
-0
2-Bass
2
Bass
Actions - Devil's Words
train
44,100
2
16
196.808
-23.29
-10.96
2-Drums
2
Drums
Actions - Devil's Words
train
44,100
2
16
196.808
-22.8
-5.1
2-Mixture
2
Mixture
Actions - Devil's Words
train
44,100
2
16
196.808
-16.03
-0
5-Bass
5
Bass
Aimee Norwich - Child
train
44,100
2
16
189.269
-18.58
-3.16
5-Drums
5
Drums
Aimee Norwich - Child
train
44,100
2
16
189.269
-23.18
-4.49
5-Mixture
5
Mixture
Aimee Norwich - Child
train
44,100
2
16
189.269
-16.35
0
6-Bass
6
Bass
Al James - Schoolboy Facination
train
44,100
2
16
200.527
-25.55
-10.46
6-Drums
6
Drums
Al James - Schoolboy Facination
train
44,100
2
16
200.527
-27.2
-10.44
6-Mixture
6
Mixture
Al James - Schoolboy Facination
train
44,100
2
16
200.527
-19.08
-0
7-Bass
7
Bass
Alexander Ross - Goodbye Bolero
train
44,100
2
16
418.817
-30.37
-16.84
7-Drums
7
Drums
Alexander Ross - Goodbye Bolero
train
44,100
2
16
418.817
-28.94
-2.49
7-Mixture
7
Mixture
Alexander Ross - Goodbye Bolero
train
44,100
2
16
418.817
-20.35
-0
10-Bass
10
Bass
Angela Thomas Wade - Milk Cow Blues
train
44,100
2
16
211.089
-28.64
-12.23
10-Drums
10
Drums
Angela Thomas Wade - Milk Cow Blues
train
44,100
2
16
211.089
-25.39
-2.04
10-Mixture
10
Mixture
Angela Thomas Wade - Milk Cow Blues
train
44,100
2
16
211.089
-19.45
-0
11-Bass
11
Bass
Angels In Amplifiers - I'm Alright
train
44,100
2
16
179.594
-26.83
-11.07
11-Drums
11
Drums
Angels In Amplifiers - I'm Alright
train
44,100
2
16
179.594
-25.68
-3.61
11-Mixture
11
Mixture
Angels In Amplifiers - I'm Alright
train
44,100
2
16
179.594
-18.12
0
12-Bass
12
Bass
ANiMAL - Clinic A
train
44,100
2
16
238.049
-20.01
-7.08
12-Drums
12
Drums
ANiMAL - Clinic A
train
44,100
2
16
238.049
-27.23
-7.08
12-Mixture
12
Mixture
ANiMAL - Clinic A
train
44,100
2
16
238.049
-16.98
-0
13-Bass
13
Bass
ANiMAL - Easy Tiger
train
44,100
2
16
205.658
-23.68
-6
13-Drums
13
Drums
ANiMAL - Easy Tiger
train
44,100
2
16
205.658
-23.26
-4.21
13-Mixture
13
Mixture
ANiMAL - Easy Tiger
train
44,100
2
16
205.658
-18.24
0
14-Bass
14
Bass
Arise - Run Run Run
train
44,100
2
16
219.393
-20.62
-10.42
14-Drums
14
Drums
Arise - Run Run Run
train
44,100
2
16
219.393
-25.53
-1.06
14-Mixture
14
Mixture
Arise - Run Run Run
train
44,100
2
16
219.393
-16.22
-0
15-Bass
15
Bass
Ben Carrigan - We'll Talk About It All Tonight
train
44,100
2
16
254.911
-27.39
-9.42
15-Drums
15
Drums
Ben Carrigan - We'll Talk About It All Tonight
train
44,100
2
16
254.911
-26.52
-4.97
15-Mixture
15
Mixture
Ben Carrigan - We'll Talk About It All Tonight
train
44,100
2
16
254.911
-21.37
0
16-Bass
16
Bass
BKS - Bulldozer
train
44,100
2
16
337.04
-25.08
-7.57
16-Drums
16
Drums
BKS - Bulldozer
train
44,100
2
16
337.04
-22.21
-4.72
16-Mixture
16
Mixture
BKS - Bulldozer
train
44,100
2
16
337.04
-18.54
0
18-Bass
18
Bass
Bobby Nobody - Stitch Up
train
44,100
2
16
221.25
-25.84
-10.76
18-Drums
18
Drums
Bobby Nobody - Stitch Up
train
44,100
2
16
221.25
-27.94
-3.16
18-Mixture
18
Mixture
Bobby Nobody - Stitch Up
train
44,100
2
16
221.25
-20.43
-0
19-Bass
19
Bass
Buitraker - Revo X
train
44,100
2
16
275.826
-24.47
-9.66
19-Drums
19
Drums
Buitraker - Revo X
train
44,100
2
16
275.826
-21.07
-4.93
19-Mixture
19
Mixture
Buitraker - Revo X
train
44,100
2
16
275.826
-17.63
-0
20-Bass
20
Bass
Carlos Gonzalez - A Place For Us
train
44,100
2
16
250.219
-32.64
-9.25
20-Drums
20
Drums
Carlos Gonzalez - A Place For Us
train
44,100
2
16
250.219
-26.21
-4.38
20-Mixture
20
Mixture
Carlos Gonzalez - A Place For Us
train
44,100
2
16
250.219
-19.33
0
22-Bass
22
Bass
Atlantis Bound - It Was My Fault For Waiting
train
44,100
2
16
268.237
-27.1
-8.36
22-Drums
22
Drums
Atlantis Bound - It Was My Fault For Waiting
train
44,100
2
16
268.237
-23.08
-5.19
22-Mixture
22
Mixture
Atlantis Bound - It Was My Fault For Waiting
train
44,100
2
16
268.237
-19.27
-0
23-Bass
23
Bass
Auctioneer - Our Future Faces
train
44,100
2
16
207.882
-21.03
-8.28
23-Drums
23
Drums
Auctioneer - Our Future Faces
train
44,100
2
16
207.882
-27.33
-9.69
23-Mixture
23
Mixture
Auctioneer - Our Future Faces
train
44,100
2
16
207.882
-17.1
0
26-Bass
26
Bass
Bill Chudziak - Children Of No-one
train
44,100
2
16
230.933
-27.83
-10.38
26-Drums
26
Drums
Bill Chudziak - Children Of No-one
train
44,100
2
16
230.933
-24.2
-4
26-Mixture
26
Mixture
Bill Chudziak - Children Of No-one
train
44,100
2
16
230.933
-18.63
-0
28-Bass
28
Bass
Celestial Shore - Die For Us
train
44,100
2
16
278.674
-22.13
-3.84
28-Drums
28
Drums
Celestial Shore - Die For Us
train
44,100
2
16
278.674
-36.33
-16.36
28-Mixture
28
Mixture
Celestial Shore - Die For Us
train
44,100
2
16
278.674
-16.9
0
29-Bass
29
Bass
Chris Durban - Celebrate
train
44,100
2
16
301.786
-22.36
-11.25
29-Drums
29
Drums
Chris Durban - Celebrate
train
44,100
2
16
301.786
-25.2
-5.81
29-Mixture
29
Mixture
Chris Durban - Celebrate
train
44,100
2
16
301.786
-17.79
-0
30-Bass
30
Bass
Clara Berry And Wooldog - Air Traffic
train
44,100
2
16
173.446
-24.94
-9.21
30-Drums
30
Drums
Clara Berry And Wooldog - Air Traffic
train
44,100
2
16
173.446
-27.77
-0.52
30-Mixture
30
Mixture
Clara Berry And Wooldog - Air Traffic
train
44,100
2
16
173.446
-20.93
-0
31-Bass
31
Bass
Clara Berry And Wooldog - Stella
train
44,100
2
16
195.742
-21.81
-7.55
31-Drums
31
Drums
Clara Berry And Wooldog - Stella
train
44,100
2
16
195.742
-30.61
-5.47
31-Mixture
31
Mixture
Clara Berry And Wooldog - Stella
train
44,100
2
16
195.742
-19.54
-0
33-Bass
33
Bass
Cnoc An Tursa - Bannockburn
train
44,100
2
16
294.701
-25.67
-11.11
33-Drums
33
Drums
Cnoc An Tursa - Bannockburn
train
44,100
2
16
294.701
-20.17
-3.64
33-Mixture
33
Mixture
Cnoc An Tursa - Bannockburn
train
44,100
2
16
294.701
-16.83
0
35-Bass
35
Bass
Cristina Vane - So Easy
train
44,100
2
16
254.134
-27.73
-10.81
35-Drums
35
Drums
Cristina Vane - So Easy
train
44,100
2
16
254.134
-22.71
-2.85
35-Mixture
35
Mixture
Cristina Vane - So Easy
train
44,100
2
16
254.134
-18.82
0
36-Bass
36
Bass
Dark Ride - Burning Bridges
train
44,100
2
16
232.848
-21.78
-6.32
36-Drums
36
Drums
Dark Ride - Burning Bridges
train
44,100
2
16
232.848
-19.09
-3.81
36-Mixture
36
Mixture
Dark Ride - Burning Bridges
train
44,100
2
16
232.848
-15.8
0
37-Bass
37
Bass
Detsky Sad - Walkie Talkie
train
44,100
2
16
190.482
-30.64
-17.06
37-Drums
37
Drums
Detsky Sad - Walkie Talkie
train
44,100
2
16
190.482
-20.15
-2.94
37-Mixture
37
Mixture
Detsky Sad - Walkie Talkie
train
44,100
2
16
190.482
-17.99
-0
39-Bass
39
Bass
Drumtracks - Ghost Bitch
train
44,100
2
16
357.094
-26.35
-6.05
39-Drums
39
Drums
Drumtracks - Ghost Bitch
train
44,100
2
16
357.094
-29.63
-1.67
39-Mixture
39
Mixture
Drumtracks - Ghost Bitch
train
44,100
2
16
357.094
-19.74
0
40-Bass
40
Bass
Enda Reilly - Cur An Long Ag Seol
train
44,100
2
16
186.996
-24.61
-7.75
40-Drums
40
Drums
Enda Reilly - Cur An Long Ag Seol
train
44,100
2
16
186.996
-23.87
-1.53
40-Mixture
40
Mixture
Enda Reilly - Cur An Long Ag Seol
train
44,100
2
16
186.996
-18.09
-0
42-Bass
42
Bass
Fergessen - Back From The Start
train
44,100
2
16
168.746
-25.67
-9.25
42-Drums
42
Drums
Fergessen - Back From The Start
train
44,100
2
16
168.746
-23.87
-1.33
42-Mixture
42
Mixture
Fergessen - Back From The Start
train
44,100
2
16
168.746
-19.64
-0
43-Bass
43
Bass
Fergessen - Nos Palpitants
train
44,100
2
16
198.411
-32.05
-15.78
43-Drums
43
Drums
Fergessen - Nos Palpitants
train
44,100
2
16
198.411
-27.18
-3.28
43-Mixture
43
Mixture
Fergessen - Nos Palpitants
train
44,100
2
16
198.411
-20.09
0
44-Bass
44
Bass
Fergessen - The Wind
train
44,100
2
16
192
-27.5
-17.52
44-Drums
44
Drums
Fergessen - The Wind
train
44,100
2
16
192
-25.86
-4.4
44-Mixture
44
Mixture
Fergessen - The Wind
train
44,100
2
16
192
-17.8
-0
45-Bass
45
Bass
Flags - 54
train
44,100
2
16
315.344
-29.86
-11.84
45-Drums
45
Drums
Flags - 54
train
44,100
2
16
315.344
-20.03
-1.25
45-Mixture
45
Mixture
Flags - 54
train
44,100
2
16
315.344
-18.94
0
47-Bass
47
Bass
Georgia Wonder - Siren
train
44,100
2
16
430.375
-23.66
-10.21
47-Drums
47
Drums
Georgia Wonder - Siren
train
44,100
2
16
430.375
-23.68
-4.95
47-Mixture
47
Mixture
Georgia Wonder - Siren
train
44,100
2
16
430.375
-18.18
0
51-Bass
51
Bass
Helado Negro - Mitad Del Mundo
train
44,100
2
16
181.85
-24.8
-9.34
51-Drums
51
Drums
Helado Negro - Mitad Del Mundo
train
44,100
2
16
181.85
-30.05
-10.7
51-Mixture
51
Mixture
Helado Negro - Mitad Del Mundo
train
44,100
2
16
181.85
-18.6
0
53-Bass
53
Bass
Hollow Ground - Ill Fate
train
44,100
2
16
141.674
-24.08
-10.78
End of preview. Expand in Data Studio

Inverse FX Source Audio (Cleaned)

Clean (dry) source recordings used to generate the paired dry/wet data for the Inverse FX Chain Predictor. Each sample is one stem of one song.

  • Source categories: Bass, Drums, Mixture
  • Format: WAV, 44100 Hz, 2 channel(s), 16-bit PCM (copied unchanged from the source)
  • Songs: 150 | Samples: 450

Naming

field description example
source_id song / source number 1
source_category stem type Bass
sample_id <source_id>-<source_category> 1-Bass

Splits

Splits are made at song level (seed 42, ratios 70% / 15% / 15%), so every stem of a song is in the same split and no song leaks between splits.

split songs samples
train 105 315
validation 23 69
test 22 66

Usage

from datasets import load_dataset

ds = load_dataset("APINAJA/inverse-fx-source-audio-cleaned")
row = ds["train"][0]
row["sample_id"], row["source_category"], row["audio"]["sampling_rate"]

metadata/sources.csv maps each source_id to its original song name and split.

License

Audio is taken from MUSDB18 and is provided for non-commercial research use only, under the terms of the original dataset. Please cite MUSDB18 if you use this data.

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