label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.14794804155826569, -0.2657355070114136, 0.2013845294713974, -0.049000829458236694, 0.649784505367279, 0.31070512533187866, 0.025680551305413246, 1.1716562509536743, 0.7732192873954773, -0.0018252581357955933, -0.7970520853996277, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.13119719922542572, -0.27041852474212646, 0.20538769662380219, -0.00744835939258337, 0.6539373993873596, 0.3377580940723419, 0.03243796527385712, 1.1510530710220337, 0.7594870924949646, 0.012965410016477108, -0.8660964369773865, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.11697184294462204, -0.29060596227645874, 0.2023644894361496, -0.03494015708565712, 0.6343092322349548, 0.26905158162117004, 0.003908203449100256, 1.1305344104766846, 0.7741901278495789, -0.00403091125190258, -0.7081958651542664, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.15392465889453888, -0.25662049651145935, 0.20325863361358643, -0.03971371054649353, 0.6477813124656677, 0.33500057458877563, 0.03327418491244316, 1.1383274793624878, 0.7674530744552612, 0.01306608971208334, -0.8446515202522278, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.13881614804267883, -0.27339449524879456, 0.20556367933750153, -0.04472503811120987, 0.624790370464325, 0.29092174768447876, 0.011955027468502522, 1.135806679725647, 0.7705697417259216, 0.0017357334727421403, -0.7579972147941589, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.1706911027431488, -0.3002323508262634, 0.1409452110528946, -0.10945923626422882, 1.0953235626220703, 0.389924019575119, -0.044490162283182144, 1.7047086954116821, 1.0493190288543701, 0.02357584796845913, -1.272729754447937, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.3248603045940399, -0.25831618905067444, 0.3274860084056854, -0.22818201780319214, 1.4486082792282104, 0.7119538187980652, 0.18470551073551178, 2.284651517868042, 1.307897925376892, -0.09713780879974365, -1.7586119174957275, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.14362046122550964, -0.2678854167461395, 0.20157061517238617, -0.04370943829417229, 0.6484032869338989, 0.3084232807159424, 0.019955692812800407, 1.1695101261138916, 0.7720218896865845, -0.0030765067785978317, -0.7893016338348389, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.14557237923145294, -0.2658827304840088, 0.20070578157901764, -0.045726485550403595, 0.6459897756576538, 0.3081837296485901, 0.023942144587635994, 1.165838360786438, 0.7710550427436829, -0.001208931440487504, -0.7919602990150452, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.6667
2.6667
2.3333
4.16675
-0.83325
7
Ses04M_impro04_M021
That's not true. I take responsibility for my own actions.
7
neutral
0.152779
8,656
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.6667
2.6667
2.3333
[ { "feats": [ 0.11346456408500671, -0.2883615791797638, 0.20988813042640686, -0.0016691898927092552, 0.6486443281173706, 0.3021337389945984, 0.006371764000505209, 1.104941725730896, 0.7719523310661316, 0.021357586607336998, -0.8017767667770386, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.08341694623231888, -0.13990336656570435, 0.2200162708759308, -0.07372181117534637, 1.0118147134780884, 0.5880851745605469, 0.08720088005065918, 1.3212463855743408, 0.8879634737968445, -0.01992923580110073, -1.247989535331726, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.03041563183069229, -0.14655856788158417, 0.24858053028583527, -0.03105165809392929, 1.0088862180709839, 0.5707716345787048, 0.10373550653457642, 1.3284212350845337, 0.8915752172470093, -0.029939966276288033, -1.2771449089050293, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.04888138920068741, -0.16861365735530853, 0.2207418829202652, -0.0400012843310833, 0.9749234318733215, 0.5718278884887695, 0.08849340677261353, 1.328979730606079, 0.8988608121871948, -0.006814766675233841, -1.1528024673461914, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.08707363158464432, -0.1470593810081482, 0.23549063503742218, -0.056050561368465424, 1.024741530418396, 0.5745005011558533, 0.09317097067832947, 1.3332427740097046, 0.890626072883606, 0.0037944884970784187, -1.2618569135665894, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.07677257806062698, -0.15913771092891693, 0.21857142448425293, -0.0578734427690506, 0.9969286918640137, 0.5780217051506042, 0.0840638279914856, 1.3167243003845215, 0.8889729380607605, -0.014929218217730522, -1.191730260848999, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.028181234374642372, -0.11197123676538467, 0.23779164254665375, -0.112831249833107, 1.5641446113586426, 0.6983222961425781, 0.3075826168060303, 2.007181406021118, 1.1131901741027832, 0.2133592963218689, -1.8898354768753052, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.0029035962652415037, -0.08328188210725784, 0.3630463182926178, -0.17594613134860992, 1.7115572690963745, 0.7307734489440918, 0.41351446509361267, 2.0103118419647217, 1.1305360794067383, 0.2061031311750412, -2.0949902534484863, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.07861340790987015, -0.14521346986293793, 0.22293461859226227, -0.06998053938150406, 1.0190566778182983, 0.589152991771698, 0.09087233245372772, 1.3381009101867676, 0.8943834900856018, -0.014133218675851822, -1.2487517595291138, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.07830654084682465, -0.1413218080997467, 0.21833200752735138, -0.0696069672703743, 1.0136007070541382, 0.5878646969795227, 0.08795611560344696, 1.3222483396530151, 0.8919126987457275, -0.01917681097984314, -1.246738314628601, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2
2.6667
2.5
2.5
7
Ses04M_impro04_M022
Yours. I don't--
7
neutral
0.597218
6,629
0.353391
-0.5
0
0
0.816497
0.942809
null
0
0
3
3
4
2
2.6667
[ { "feats": [ 0.045489002019166946, -0.1797661930322647, 0.24424335360527039, -0.015940463170409203, 1.0403629541397095, 0.575522243976593, 0.10094936192035675, 1.3487961292266846, 0.90847247838974, 0.024455897510051727, -1.260663628578186, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.11953338980674744, -0.3109704554080963, 0.16800901293754578, -0.1726067066192627, 0.9135051965713501, 0.37509721517562866, 0.11910634487867355, 1.4336152076721191, 0.8716254830360413, 0.11394578218460083, -0.4818187355995178, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.03014524281024933, -0.2350858598947525, 0.1613151878118515, -0.07767344266176224, 0.930629551410675, 0.4261747896671295, 0.10828158259391785, 1.410143256187439, 0.8483285307884216, 0.039454881101846695, -0.5456405282020569, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.08320603519678116, -0.24841292202472687, 0.14926297962665558, -0.08630060404539108, 0.8832545280456543, 0.3352692127227783, 0.12106885015964508, 1.4023470878601074, 0.8747719526290894, 0.08625442534685135, -0.39052170515060425, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.09698036313056946, -0.2841404378414154, 0.1536390632390976, -0.12659062445163727, 0.8916192054748535, 0.3829037845134735, 0.11818788945674896, 1.3732483386993408, 0.8446979522705078, 0.06983412057161331, -0.5215737223625183, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.11614054441452026, -0.28818169236183167, 0.1604519486427307, -0.14821092784404755, 0.8997153639793396, 0.35478895902633667, 0.12269105762243271, 1.4074281454086304, 0.8715169429779053, 0.1045190840959549, -0.4503578543663025, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.11159790307283401, -0.28314027190208435, 0.11735569685697556, -0.1718910038471222, 1.068575143814087, 0.4665910601615906, 0.17074471712112427, 1.5596445798873901, 1.0723551511764526, 0.0804995447397232, -0.7661535143852234, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.2072424441576004, -0.2398645281791687, 0.1520974487066269, -0.27590328454971313, 1.1869621276855469, 0.48679018020629883, 0.20179998874664307, 1.6515625715255737, 1.1336374282836914, 0.0784762054681778, -0.9345631003379822, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.11691855639219284, -0.30669498443603516, 0.16635267436504364, -0.16747406125068665, 0.9117171168327332, 0.3757716715335846, 0.11854992061853409, 1.4297797679901123, 0.8716468214988708, 0.11463844776153564, -0.48136037588119507, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.11804541200399399, -0.30892711877822876, 0.16721250116825104, -0.17001564800739288, 0.9125124216079712, 0.3757007420063019, 0.11866643279790878, 1.4316236972808838, 0.8715571165084839, 0.11384189873933792, -0.4815114438533783, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2
2.5
2.5
2.5
8
Ses04M_impro05_F000
Hi, how can I help you?
8
neutral
0.625
1,038
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
4
2
2.5
[ { "feats": [ 0.06401070207357407, -0.2301160991191864, 0.15092729032039642, -0.05527779832482338, 0.8643603920936584, 0.357295423746109, 0.10161662101745605, 1.3316105604171753, 0.8355728983879089, 0.08068525791168213, -0.4785970151424408, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.06572225689888, -0.30307507514953613, 0.27963075041770935, -0.021306127309799194, 1.4390980005264282, 0.5738838911056519, 0.3121049106121063, 1.761948823928833, 1.0338530540466309, -0.14387202262878418, -1.355782389640808, 0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ -0.06388699263334274, -0.345589280128479, 0.23380957543849945, 0.10115131735801697, 1.353521704673767, 0.5978529453277588, 0.33562982082366943, 1.7248241901397705, 1.0318272113800049, -0.20206822454929352, -1.2358121871948242, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ -0.05387866124510765, -0.26269975304603577, 0.18599247932434082, 0.12027870118618011, 1.4108669757843018, 0.47011566162109375, 0.28109800815582275, 1.803623080253601, 1.0605804920196533, -0.1806616485118866, -1.225880742073059, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.028095832094550133, -0.27528685331344604, 0.23480349779129028, 0.03133809566497803, 1.3509559631347656, 0.5662012100219727, 0.2928982973098755, 1.666655421257019, 0.9994531869888306, -0.15084093809127808, -1.3030604124069214, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ -0.002971925539895892, -0.24083183705806732, 0.24162116646766663, 0.08270996809005737, 1.428663730621338, 0.5344972610473633, 0.29794079065322876, 1.765211582183838, 1.0370546579360962, -0.17157836258411407, -1.262790560722351, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.1240491271018982, -0.2278485745191574, 0.10167905688285828, -0.14264367520809174, 1.8830770254135132, 0.6641469597816467, 0.5171604156494141, 1.9647423028945923, 1.1449742317199707, 0.4391010105609894, -2.0185201168060303, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.13489539921283722, -0.27878430485725403, 0.2998223304748535, -0.289399117231369, 1.9437891244888306, 0.6544935703277588, 0.6916011571884155, 1.860982894897461, 1.1862596273422241, 0.35713088512420654, -2.1473186016082764, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.019794078543782234, -0.26852086186408997, 0.23582643270492554, 0.031201574951410294, 1.380503535270691, 0.5555419325828552, 0.2974921762943268, 1.7184116840362549, 1.0195825099945068, -0.1756732016801834, -1.3045393228530884, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ 0.03930765017867088, -0.27439719438552856, 0.2573855519294739, 0.0036251398269087076, 1.4015777111053467, 0.557778000831604, 0.30395326018333435, 1.719287633895874, 1.022293210029602, -0.1504913717508316, -1.3266581296920776, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2
1.5
2.5
1.25
8
Ses04M_impro05_F001
Mmhmm.
8
neutral
0.65
4,410
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
1.5
[ { "feats": [ -0.11769381165504456, -0.3678538501262665, 0.2594582438468933, 0.15325090289115906, 1.5333082675933838, 0.7031329274177551, 0.34305331110954285, 1.85118567943573, 1.1980715990066528, -0.2261171191930771, -1.389737844467163, 0.1...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.011803443543612957, -0.0860874131321907, 0.336703360080719, 0.07230785489082336, 0.9626784324645996, 0.5478429198265076, 0.14952872693538666, 1.4541176557540894, 1.0416593551635742, 0.006655101664364338, -0.9281263947486877, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.029248926788568497, -0.13647465407848358, 0.2997063398361206, 0.08402077853679657, 0.9728178381919861, 0.5798567533493042, 0.17996689677238464, 1.4688564538955688, 0.9870226979255676, 0.012211669236421585, -0.9104961156845093, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.0537337064743042, -0.11559054255485535, 0.3818916380405426, 0.023156989365816116, 1.008077621459961, 0.49579083919525146, 0.13702118396759033, 1.5055330991744995, 1.077301263809204, 0.038427554070949554, -0.8316757082939148, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.009402388706803322, -0.07847710698843002, 0.3571757674217224, 0.10736781358718872, 0.9610965847969055, 0.5659364461898804, 0.14636816084384918, 1.43480384349823, 1.0221363306045532, 0.01601061224937439, -0.942724347114563, 0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.01215931586921215, -0.09980414062738419, 0.35815727710723877, 0.052042681723833084, 0.9510629773139954, 0.5242205858230591, 0.14879333972930908, 1.450134038925171, 1.0501059293746948, 0.0037977539468556643, -0.8822320103645325, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.010459435172379017, -0.17247465252876282, 0.3887833058834076, -0.19009247422218323, 1.3342764377593994, 0.5754522085189819, 0.2546984553337097, 1.7746585607528687, 1.2559300661087036, 0.06900452077388763, -1.1828954219818115, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.09773240238428116, -0.10269444435834885, 0.25096389651298523, -0.37214741110801697, 1.4836117029190063, 0.6933141946792603, 0.3505490720272064, 1.8348435163497925, 1.23758864402771, -0.0377257876098156, -1.5265235900878906, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.002978391945362091, -0.0940772145986557, 0.33210819959640503, 0.07882947474718094, 0.9632466435432434, 0.5453847050666809, 0.15336483716964722, 1.4533683061599731, 1.0424622297286987, 0.006775971967726946, -0.9134341478347778, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.007124798838049173, -0.08808135986328125, 0.3339173495769501, 0.07509694248437881, 0.9638357162475586, 0.5482051968574524, 0.15032385289669037, 1.457129955291748, 1.044438362121582, 0.005633161868900061, -0.9190748333930969, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
8
Ses04M_impro05_F002
I'm sorry.
8
neutral
0.4
5,651
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.03545598313212395, -0.09078992158174515, 0.32976025342941284, 0.15014702081680298, 0.9396277666091919, 0.5550143122673035, 0.161327064037323, 1.4097793102264404, 1.0649892091751099, -0.014741340652108192, -0.9028535485267639, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.04430875554680824, -0.38620057702064514, 0.21208272874355316, 0.0859912559390068, 0.9785666465759277, 0.3507474362850189, 0.023485859856009483, 1.5683854818344116, 0.9888632893562317, -0.10513027757406235, -0.366726279258728, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.12381576746702194, -0.3420509994029999, 0.17260651290416718, 0.08261679857969284, 0.9710225462913513, 0.3353743553161621, 0.024597134441137314, 1.4413573741912842, 0.9458476901054382, -0.19293849170207977, -0.468791127204895, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.05932142958045006, -0.3883380889892578, 0.17327214777469635, 0.16007858514785767, 0.9464683532714844, 0.335082471370697, 0.014905204996466637, 1.4416192770004272, 0.9921683073043823, -0.0611514151096344, -0.37094902992248535, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.04964163526892662, -0.4021969735622406, 0.22407379746437073, 0.08008820563554764, 0.9847862720489502, 0.33404749631881714, 0.009846368804574013, 1.5242005586624146, 0.9844293594360352, -0.13895943760871887, -0.4056185781955719, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.020917527377605438, -0.42192310094833374, 0.1903320699930191, 0.12340319156646729, 0.9687088131904602, 0.33335062861442566, -0.020387284457683563, 1.5132890939712524, 1.0198880434036255, -0.05819754675030708, -0.37287014722824097,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.05090702325105667, -0.18120786547660828, 0.15097369253635406, 0.13657933473587036, 1.3393102884292603, 0.5408380031585693, 0.06093938648700714, 1.6292099952697754, 1.4436854124069214, -0.09138491749763489, -0.9212794303894043, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ 0.02441367134451866, -0.04057345911860466, 0.18427607417106628, 0.08707187324762344, 1.5554958581924438, 0.630702555179596, 0.16325536370277405, 1.715803623199463, 1.5745290517807007, -0.1413486748933792, -1.0284639596939087, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.04972005635499954, -0.38897374272346497, 0.20384547114372253, 0.09649517387151718, 0.980466365814209, 0.344479501247406, 0.016803264617919922, 1.5625430345535278, 0.9910656809806824, -0.11039012670516968, -0.359785795211792, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.04319775104522705, -0.3882063031196594, 0.20758776366710663, 0.10062971711158752, 0.9779618382453918, 0.35519158840179443, 0.020734796300530434, 1.5609441995620728, 0.992868959903717, -0.10187144577503204, -0.3653775155544281, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
1.5
1.5
1.25
0
8
Ses04M_impro05_F003
Right.
8
neutral
0.75
4,405
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
1.5
1.5
[ { "feats": [ -0.16772329807281494, -0.45716622471809387, 0.2479219138622284, 0.0964290201663971, 0.946776807308197, 0.36209970712661743, 0.056131936609745026, 1.4094740152359009, 0.9856600761413574, -0.058107081800699234, -0.43439170718193054, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.07592065632343292, -0.22834265232086182, 0.005143291782587767, -0.12139921635389328, 0.6389913558959961, 0.38507288694381714, 0.05827663838863373, 1.4427934885025024, 0.7809568643569946, -0.038291994482278824, -0.8773757219314575, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.047867510467767715, -0.17269131541252136, -0.0032998952083289623, -0.058306071907281876, 0.6253561973571777, 0.43909525871276855, 0.06931737810373306, 1.3944793939590454, 0.7608901262283325, -0.031387150287628174, -0.94932854175567...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.053326111286878586, -0.22770221531391144, -0.004326177295297384, -0.10155922919511795, 0.6310046315193176, 0.3517913818359375, 0.03445839136838913, 1.4279893636703491, 0.7687181234359741, -0.024893077090382576, -0.8306430578231812,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.05925997346639633, -0.19160017371177673, -0.009352302178740501, -0.08504705876111984, 0.6289415955543518, 0.41924673318862915, 0.060581088066101074, 1.4324467182159424, 0.7777316570281982, -0.034081943333148956, -0.9160507321357727...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.06966663897037506, -0.22643665969371796, -0.004899214021861553, -0.10890262573957443, 0.6382838487625122, 0.38570985198020935, 0.046176452189683914, 1.4496216773986816, 0.7808573842048645, -0.027598125860095024, -0.8653361797332764...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.15461677312850952, -0.3377164900302887, 0.07194110751152039, -0.12200029194355011, 0.8884336352348328, 0.36947181820869446, -0.006711166352033615, 1.4375087022781372, 0.8694444298744202, 0.07485980540513992, -1.110492467880249, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.22170600295066833, -0.31578800082206726, 0.14293897151947021, -0.18384656310081482, 1.079729676246643, 0.4637524485588074, 0.07101589441299438, 1.6306679248809814, 1.0015883445739746, 0.06770715117454529, -1.2585346698760986, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.06972436606884003, -0.2172987312078476, 0.007685165852308273, -0.112621009349823, 0.6359908580780029, 0.3911435604095459, 0.06342737376689911, 1.4561694860458374, 0.788414478302002, -0.029274798929691315, -0.8733043670654297, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.07247947156429291, -0.2235838621854782, 0.005626072641462088, -0.11861585825681686, 0.6361078023910522, 0.3867635726928711, 0.06093547120690346, 1.4466439485549927, 0.7835735082626343, -0.03443114832043648, -0.8761300444602966, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
8
Ses04M_impro05_F007
Um, but, actually, our policy is a fifty dollar
8
neutral
0.175
8,107
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.06078261137008667, -0.17629823088645935, -0.009745043702423573, -0.05713789537549019, 0.6653890609741211, 0.4229227602481842, 0.06367888301610947, 1.4205753803253174, 0.8145756125450134, -0.02415548823773861, -0.9199433922767639, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.1056862473487854, -0.23799806833267212, 0.21010413765907288, -0.23419010639190674, 0.8413830399513245, 0.5340039730072021, 0.14317572116851807, 1.598615050315857, 0.8049920201301575, 0.08157647401094437, -0.8190250396728516, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.11508753150701523, -0.19528745114803314, 0.19929426908493042, -0.19663892686367035, 0.8135352730751038, 0.5566251277923584, 0.1353730857372284, 1.5326112508773804, 0.7986395359039307, 0.0786304771900177, -0.8474090099334717, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.07817646116018295, -0.21585461497306824, 0.21446451544761658, -0.23547932505607605, 0.810178816318512, 0.46917688846588135, 0.10434267669916153, 1.5675380229949951, 0.7850660681724548, 0.0688527375459671, -0.7583756446838379, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10547778755426407, -0.20895051956176758, 0.2022160142660141, -0.20580017566680908, 0.8432518839836121, 0.5559333562850952, 0.13982607424259186, 1.5690730810165405, 0.8064932227134705, 0.08727037161588669, -0.8315737247467041, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.08333468437194824, -0.23433038592338562, 0.2080388069152832, -0.22251339256763458, 0.8235801458358765, 0.4896293580532074, 0.1443716287612915, 1.5692615509033203, 0.7841643691062927, 0.07689235359430313, -0.7629354000091553, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.08980001509189606, -0.17927201092243195, 0.23880138993263245, -0.18103687465190887, 0.9239214658737183, 0.4897552728652954, 0.05099225416779518, 1.632072925567627, 0.8431051969528198, 0.000018150147298001684, -0.8813324570655823, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.09942357987165451, -0.1309686303138733, 0.32858777046203613, -0.1742519736289978, 1.2331290245056152, 0.6158451437950134, 0.01965339295566082, 1.9145492315292358, 1.0332854986190796, -0.04429420456290245, -1.0472772121429443, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.09404125809669495, -0.23899824917316437, 0.21009723842144012, -0.22837676107883453, 0.8420311808586121, 0.5324162244796753, 0.14130301773548126, 1.5908982753753662, 0.8038756251335144, 0.07988633215427399, -0.8081575036048889, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.09964774549007416, -0.23868481814861298, 0.21033824980258942, -0.23124907910823822, 0.8429767489433289, 0.5343024730682373, 0.14276449382305145, 1.5945281982421875, 0.8052842617034912, 0.0808977484703064, -0.8125693202018738, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F008
refund--coverage of the bag that was lost. yes
8
neutral
0.125
576
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.06811796128749847, -0.20908622443675995, 0.19680622220039368, -0.2002534121274948, 0.8034676909446716, 0.4999871850013733, 0.12647318840026855, 1.5130070447921753, 0.789303183555603, 0.07152397185564041, -0.7911754250526428, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.004034985788166523, -0.28150224685668945, 0.3689524233341217, -0.106167271733284, 0.818994402885437, 0.4357362389564514, 0.05184568464756012, 1.6419330835342407, 1.0230656862258911, 0.03319048881530762, -0.6685364246368408, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ -0.004052018281072378, -0.20909926295280457, 0.34609174728393555, -0.10824410617351532, 0.8155041933059692, 0.5285744667053223, 0.07435014843940735, 1.5807808637619019, 0.9753599762916565, 0.061953332275152206, -0.7943509817123413, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ -0.0034769305493682623, -0.25684982538223267, 0.3235500454902649, -0.05657626688480377, 0.7781381011009216, 0.42556053400039673, 0.05531999096274376, 1.5819298028945923, 1.0135133266448975, 0.044973768293857574, -0.6562176942825317, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.0008561547147110105, -0.25855425000190735, 0.34041672945022583, -0.11519407480955124, 0.8062599301338196, 0.49050140380859375, 0.07156555354595184, 1.626524806022644, 0.9908488988876343, 0.035035740584135056, -0.7347615361213684, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ -0.003735050093382597, -0.2521906793117523, 0.3345242142677307, -0.09504187852144241, 0.806257426738739, 0.42656436562538147, 0.06747402250766754, 1.6199840307235718, 1.009756088256836, 0.037334803491830826, -0.6732458472251892, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.08410590887069702, -0.2470950186252594, 0.3886605501174927, -0.19134728610515594, 1.1676477193832397, 0.44329994916915894, -0.055030930787324905, 1.822666049003601, 1.311710000038147, -0.06440702080726624, -1.2062420845031738, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.20953622460365295, -0.2399904876947403, 0.4255593419075012, -0.21338117122650146, 1.3515098094940186, 0.4977032244205475, -0.05292503163218498, 1.9263755083084106, 1.432719111442566, -0.047538429498672485, -1.2674142122268677, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.00388534227386117, -0.27606385946273804, 0.36411964893341064, -0.10004360973834991, 0.821111798286438, 0.44244760274887085, 0.05175337567925453, 1.6427065134048462, 1.0211843252182007, 0.02995733730494976, -0.6764817833900452, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.0030995651613920927, -0.2772006690502167, 0.36458829045295715, -0.10318295657634735, 0.8195218443870544, 0.43899133801460266, 0.05062092840671539, 1.6406240463256836, 1.020815134048462, 0.031039293855428696, -0.6738700866699219, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
8
Ses04M_impro05_F009
That's our policy, sir.
8
neutral
0.125
525
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.0022787940688431263, -0.2275713086128235, 0.3474332094192505, -0.05771251395344734, 0.7831448912620544, 0.459532767534256, 0.062304068356752396, 1.5466879606246948, 1.0040292739868164, 0.04373255372047424, -0.7143353819847107, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.20392011106014252, -0.14255811274051666, 0.06590261310338974, -0.022496450692415237, 0.8572088479995728, 0.3374473452568054, -0.12233417481184006, 1.4902353286743164, 0.9339669346809387, -0.08168109506368637, -0.7358176112174988, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.1427089124917984, 0.01087590865790844, 0.0087274806573987, 0.050158992409706116, 0.9116754531860352, 0.4129413068294525, -0.040383391082286835, 1.5139933824539185, 0.9187183976173401, -0.07623863220214844, -0.8588446378707886, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.20999310910701752, -0.1568489819765091, 0.039897918701171875, -0.024083184078335762, 0.908906877040863, 0.3072577118873596, -0.1664750576019287, 1.5883643627166748, 0.9789978861808777, -0.06942824274301529, -0.6034045219421387, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.17654405534267426, -0.045280903577804565, 0.03206975385546684, 0.019562991335988045, 0.8765673637390137, 0.3758436143398285, -0.08659843355417252, 1.4876254796981812, 0.9188748002052307, -0.09804332256317139, -0.7997550964355469, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.23163022100925446, -0.14055988192558289, 0.04284645617008209, -0.013350688852369785, 0.9052050113677979, 0.33997392654418945, -0.1422116756439209, 1.5475010871887207, 0.9738575220108032, -0.08500050008296967, -0.6999133825302124, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.06145872548222542, -0.02696932852268219, 0.08063964545726776, 0.0019212679471820593, 1.0057213306427002, 0.36038169264793396, -0.1738232970237732, 1.5286098718643188, 1.095253825187683, -0.09749876707792282, -0.8707917332649231, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.1821468025445938, -0.10333120077848434, 0.20385195314884186, -0.1812308430671692, 1.3410513401031494, 0.49376991391181946, -0.129679873585701, 1.8635460138320923, 1.2924731969833374, -0.012374513782560825, -1.1143043041229248, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.1942434459924698, -0.12467631697654724, 0.07616179436445236, -0.0235439445823431, 0.891185998916626, 0.3465302288532257, -0.13820256292819977, 1.5227817296981812, 0.9615451097488403, -0.0903184711933136, -0.7180860638618469, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.20355989038944244, -0.134968563914299, 0.06995966285467148, -0.024220744147896767, 0.8742611408233643, 0.3431420922279358, -0.13184687495231628, 1.5065968036651611, 0.9493151903152466, -0.08451694250106812, -0.7302014827728271, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
3
2.5
0
8
Ses04M_impro05_F013
We'll cover fifty.
8
neutral
0.075
219
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
2
3
[ { "feats": [ 0.12811745703220367, -0.06990009546279907, 0.03966543823480606, 0.06476887315511703, 0.9035013914108276, 0.362619549036026, -0.09845095127820969, 1.5115705728530884, 0.9329239726066589, -0.11279703676700592, -0.7427417039871216, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }