tmdang1101 commited on
Commit
2987830
·
1 Parent(s): a6363b4

add train labels

Browse files
Files changed (2) hide show
  1. husky_train_labels.csv +501 -0
  2. shiba_train_labels.csv +501 -0
husky_train_labels.csv ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ audio_id,arousal,valence
2
+ husky_train_00000,High,Positive
3
+ husky_train_00001,High,Positive
4
+ husky_train_00002,Low,Neutral
5
+ husky_train_00003,Low,Neutral
6
+ husky_train_00004,Medium,Positive
7
+ husky_train_00005,Medium,Positive
8
+ husky_train_00006,Medium,Positive
9
+ husky_train_00007,Low,Neutral
10
+ husky_train_00008,Low,Negative
11
+ husky_train_00009,Medium,Positive
12
+ husky_train_00010,Medium,Positive
13
+ husky_train_00011,High,Positive
14
+ husky_train_00012,Low,Neutral
15
+ husky_train_00013,Medium,Neutral
16
+ husky_train_00014,Medium,Positive
17
+ husky_train_00015,High,Positive
18
+ husky_train_00016,Medium,Positive
19
+ husky_train_00017,Medium,Positive
20
+ husky_train_00018,High,Positive
21
+ husky_train_00019,High,Positive
22
+ husky_train_00020,Medium,Neutral
23
+ husky_train_00021,Medium,Positive
24
+ husky_train_00022,Low,Neutral
25
+ husky_train_00023,Medium,Positive
26
+ husky_train_00024,Medium,Positive
27
+ husky_train_00025,High,Positive
28
+ husky_train_00026,High,Positive
29
+ husky_train_00027,Medium,Neutral
30
+ husky_train_00028,Low,Negative
31
+ husky_train_00029,Medium,Neutral
32
+ husky_train_00030,High,Positive
33
+ husky_train_00031,Medium,Neutral
34
+ husky_train_00032,Medium,Neutral
35
+ husky_train_00033,High,Positive
36
+ husky_train_00034,Medium,Neutral
37
+ husky_train_00035,Medium,Neutral
38
+ husky_train_00036,Medium,Positive
39
+ husky_train_00037,High,Positive
40
+ husky_train_00038,Medium,Neutral
41
+ husky_train_00039,Medium,Neutral
42
+ husky_train_00040,Low,Neutral
43
+ husky_train_00041,High,Positive
44
+ husky_train_00042,High,Neutral
45
+ husky_train_00043,Low,Neutral
46
+ husky_train_00044,High,Positive
47
+ husky_train_00045,High,Positive
48
+ husky_train_00046,Medium,Positive
49
+ husky_train_00047,High,Positive
50
+ husky_train_00048,High,Positive
51
+ husky_train_00049,High,Negative
52
+ husky_train_00050,High,Positive
53
+ husky_train_00051,Medium,Neutral
54
+ husky_train_00052,High,Positive
55
+ husky_train_00053,Medium,Positive
56
+ husky_train_00054,Low,Neutral
57
+ husky_train_00055,Medium,Neutral
58
+ husky_train_00056,Medium,Neutral
59
+ husky_train_00057,Medium,Positive
60
+ husky_train_00058,Medium,Positive
61
+ husky_train_00059,Medium,Negative
62
+ husky_train_00060,Medium,Neutral
63
+ husky_train_00061,Medium,Negative
64
+ husky_train_00062,Low,Neutral
65
+ husky_train_00063,Medium,Positive
66
+ husky_train_00064,Low,Neutral
67
+ husky_train_00065,Low,Neutral
68
+ husky_train_00066,Medium,Positive
69
+ husky_train_00067,Medium,Neutral
70
+ husky_train_00068,Medium,Neutral
71
+ husky_train_00069,Low,Neutral
72
+ husky_train_00070,Medium,Positive
73
+ husky_train_00071,High,Negative
74
+ husky_train_00072,Medium,Neutral
75
+ husky_train_00073,Medium,Negative
76
+ husky_train_00074,High,Positive
77
+ husky_train_00075,Medium,Negative
78
+ husky_train_00076,Medium,Negative
79
+ husky_train_00077,Medium,Neutral
80
+ husky_train_00078,High,Positive
81
+ husky_train_00079,Low,Positive
82
+ husky_train_00080,Medium,Neutral
83
+ husky_train_00081,Low,Neutral
84
+ husky_train_00082,Low,Negative
85
+ husky_train_00083,Low,Neutral
86
+ husky_train_00084,Medium,Positive
87
+ husky_train_00085,Medium,Negative
88
+ husky_train_00086,High,Positive
89
+ husky_train_00087,Medium,Neutral
90
+ husky_train_00088,Medium,Positive
91
+ husky_train_00089,High,Neutral
92
+ husky_train_00090,Medium,Positive
93
+ husky_train_00091,High,Positive
94
+ husky_train_00092,Medium,Positive
95
+ husky_train_00093,Low,Neutral
96
+ husky_train_00094,Low,Neutral
97
+ husky_train_00095,Medium,Neutral
98
+ husky_train_00096,Low,Neutral
99
+ husky_train_00097,High,Positive
100
+ husky_train_00098,Medium,Neutral
101
+ husky_train_00099,Medium,Positive
102
+ husky_train_00100,Medium,Neutral
103
+ husky_train_00101,High,Positive
104
+ husky_train_00102,Low,Neutral
105
+ husky_train_00103,High,Positive
106
+ husky_train_00104,Medium,Neutral
107
+ husky_train_00105,High,Positive
108
+ husky_train_00106,High,Positive
109
+ husky_train_00107,High,Positive
110
+ husky_train_00108,Medium,Negative
111
+ husky_train_00109,Medium,Positive
112
+ husky_train_00110,Medium,Positive
113
+ husky_train_00111,High,Positive
114
+ husky_train_00112,Low,Neutral
115
+ husky_train_00113,Medium,Positive
116
+ husky_train_00114,Medium,Negative
117
+ husky_train_00115,Medium,Negative
118
+ husky_train_00116,Medium,Negative
119
+ husky_train_00117,Medium,Positive
120
+ husky_train_00118,Medium,Negative
121
+ husky_train_00119,Medium,Neutral
122
+ husky_train_00120,Medium,Positive
123
+ husky_train_00121,High,Positive
124
+ husky_train_00122,Medium,Positive
125
+ husky_train_00123,High,Positive
126
+ husky_train_00124,Low,Negative
127
+ husky_train_00125,Medium,Negative
128
+ husky_train_00126,Medium,Neutral
129
+ husky_train_00127,High,Positive
130
+ husky_train_00128,High,Positive
131
+ husky_train_00129,Medium,Neutral
132
+ husky_train_00130,Low,Neutral
133
+ husky_train_00131,Low,Positive
134
+ husky_train_00132,Low,Neutral
135
+ husky_train_00133,Medium,Positive
136
+ husky_train_00134,Medium,Positive
137
+ husky_train_00135,Low,Negative
138
+ husky_train_00136,Medium,Neutral
139
+ husky_train_00137,Medium,Positive
140
+ husky_train_00138,High,Negative
141
+ husky_train_00139,Medium,Neutral
142
+ husky_train_00140,High,Positive
143
+ husky_train_00141,Low,Neutral
144
+ husky_train_00142,High,Positive
145
+ husky_train_00143,Medium,Positive
146
+ husky_train_00144,Low,Neutral
147
+ husky_train_00145,High,Positive
148
+ husky_train_00146,High,Positive
149
+ husky_train_00147,High,Positive
150
+ husky_train_00148,Medium,Neutral
151
+ husky_train_00149,Medium,Positive
152
+ husky_train_00150,High,Positive
153
+ husky_train_00151,Low,Negative
154
+ husky_train_00152,Low,Negative
155
+ husky_train_00153,Medium,Neutral
156
+ husky_train_00154,Medium,Negative
157
+ husky_train_00155,Low,Neutral
158
+ husky_train_00156,High,Positive
159
+ husky_train_00157,Low,Neutral
160
+ husky_train_00158,High,Positive
161
+ husky_train_00159,High,Positive
162
+ husky_train_00160,High,Positive
163
+ husky_train_00161,Medium,Positive
164
+ husky_train_00162,Low,Neutral
165
+ husky_train_00163,Medium,Positive
166
+ husky_train_00164,Low,Positive
167
+ husky_train_00165,Medium,Positive
168
+ husky_train_00166,Low,Negative
169
+ husky_train_00167,High,Positive
170
+ husky_train_00168,Low,Neutral
171
+ husky_train_00169,Low,Negative
172
+ husky_train_00170,Medium,Negative
173
+ husky_train_00171,Medium,Negative
174
+ husky_train_00172,Medium,Neutral
175
+ husky_train_00173,Medium,Neutral
176
+ husky_train_00174,High,Positive
177
+ husky_train_00175,Low,Neutral
178
+ husky_train_00176,Medium,Neutral
179
+ husky_train_00177,Medium,Positive
180
+ husky_train_00178,Medium,Neutral
181
+ husky_train_00179,Medium,Neutral
182
+ husky_train_00180,Low,Positive
183
+ husky_train_00181,Medium,Positive
184
+ husky_train_00182,Medium,Neutral
185
+ husky_train_00183,High,Neutral
186
+ husky_train_00184,Medium,Neutral
187
+ husky_train_00185,High,Positive
188
+ husky_train_00186,Medium,Negative
189
+ husky_train_00187,Low,Neutral
190
+ husky_train_00188,Medium,Positive
191
+ husky_train_00189,High,Negative
192
+ husky_train_00190,High,Positive
193
+ husky_train_00191,Low,Positive
194
+ husky_train_00192,Medium,Positive
195
+ husky_train_00193,Low,Neutral
196
+ husky_train_00194,Medium,Positive
197
+ husky_train_00195,Medium,Positive
198
+ husky_train_00196,Medium,Positive
199
+ husky_train_00197,Low,Neutral
200
+ husky_train_00198,High,Positive
201
+ husky_train_00199,High,Positive
202
+ husky_train_00200,Medium,Neutral
203
+ husky_train_00201,Low,Positive
204
+ husky_train_00202,Medium,Negative
205
+ husky_train_00203,Low,Positive
206
+ husky_train_00204,Low,Positive
207
+ husky_train_00205,Medium,Positive
208
+ husky_train_00206,Medium,Neutral
209
+ husky_train_00207,Medium,Neutral
210
+ husky_train_00208,Medium,Neutral
211
+ husky_train_00209,High,Positive
212
+ husky_train_00210,Medium,Neutral
213
+ husky_train_00211,High,Positive
214
+ husky_train_00212,Low,Positive
215
+ husky_train_00213,Low,Neutral
216
+ husky_train_00214,High,Positive
217
+ husky_train_00215,Low,Positive
218
+ husky_train_00216,Low,Positive
219
+ husky_train_00217,Low,Neutral
220
+ husky_train_00218,High,Positive
221
+ husky_train_00219,Medium,Positive
222
+ husky_train_00220,Low,Negative
223
+ husky_train_00221,Medium,Neutral
224
+ husky_train_00222,High,Positive
225
+ husky_train_00223,Low,Positive
226
+ husky_train_00224,Medium,Negative
227
+ husky_train_00225,Medium,Negative
228
+ husky_train_00226,Medium,Positive
229
+ husky_train_00227,High,Positive
230
+ husky_train_00228,Medium,Positive
231
+ husky_train_00229,Medium,Negative
232
+ husky_train_00230,Medium,Negative
233
+ husky_train_00231,Medium,Positive
234
+ husky_train_00232,High,Positive
235
+ husky_train_00233,Medium,Positive
236
+ husky_train_00234,High,Positive
237
+ husky_train_00235,High,Neutral
238
+ husky_train_00236,Medium,Neutral
239
+ husky_train_00237,High,Positive
240
+ husky_train_00238,Medium,Positive
241
+ husky_train_00239,Low,Neutral
242
+ husky_train_00240,Medium,Positive
243
+ husky_train_00241,Medium,Positive
244
+ husky_train_00242,Medium,Positive
245
+ husky_train_00243,High,Positive
246
+ husky_train_00244,Low,Neutral
247
+ husky_train_00245,Low,Neutral
248
+ husky_train_00246,High,Neutral
249
+ husky_train_00247,Low,Neutral
250
+ husky_train_00248,Low,Negative
251
+ husky_train_00249,Medium,Negative
252
+ husky_train_00250,High,Positive
253
+ husky_train_00251,Medium,Positive
254
+ husky_train_00252,Medium,Positive
255
+ husky_train_00253,Medium,Positive
256
+ husky_train_00254,Medium,Positive
257
+ husky_train_00255,Medium,Positive
258
+ husky_train_00256,Medium,Neutral
259
+ husky_train_00257,High,Positive
260
+ husky_train_00258,Low,Negative
261
+ husky_train_00259,High,Positive
262
+ husky_train_00260,Medium,Neutral
263
+ husky_train_00261,Medium,Neutral
264
+ husky_train_00262,High,Positive
265
+ husky_train_00263,Medium,Positive
266
+ husky_train_00264,Medium,Neutral
267
+ husky_train_00265,Low,Positive
268
+ husky_train_00266,Medium,Positive
269
+ husky_train_00267,Medium,Positive
270
+ husky_train_00268,Low,Neutral
271
+ husky_train_00269,Medium,Positive
272
+ husky_train_00270,Low,Positive
273
+ husky_train_00271,Medium,Neutral
274
+ husky_train_00272,Low,Neutral
275
+ husky_train_00273,Medium,Neutral
276
+ husky_train_00274,Medium,Positive
277
+ husky_train_00275,Medium,Neutral
278
+ husky_train_00276,Medium,Negative
279
+ husky_train_00277,Low,Neutral
280
+ husky_train_00278,Low,Negative
281
+ husky_train_00279,Low,Neutral
282
+ husky_train_00280,Medium,Positive
283
+ husky_train_00281,Medium,Positive
284
+ husky_train_00282,High,Positive
285
+ husky_train_00283,High,Negative
286
+ husky_train_00284,High,Positive
287
+ husky_train_00285,Medium,Neutral
288
+ husky_train_00286,Medium,Neutral
289
+ husky_train_00287,High,Neutral
290
+ husky_train_00288,Medium,Positive
291
+ husky_train_00289,Medium,Neutral
292
+ husky_train_00290,Medium,Negative
293
+ husky_train_00291,Medium,Positive
294
+ husky_train_00292,Medium,Positive
295
+ husky_train_00293,High,Positive
296
+ husky_train_00294,High,Positive
297
+ husky_train_00295,Low,Neutral
298
+ husky_train_00296,High,Neutral
299
+ husky_train_00297,Low,Negative
300
+ husky_train_00298,Low,Negative
301
+ husky_train_00299,High,Positive
302
+ husky_train_00300,Medium,Positive
303
+ husky_train_00301,Medium,Positive
304
+ husky_train_00302,Medium,Negative
305
+ husky_train_00303,Medium,Positive
306
+ husky_train_00304,Medium,Positive
307
+ husky_train_00305,High,Positive
308
+ husky_train_00306,Low,Neutral
309
+ husky_train_00307,Low,Neutral
310
+ husky_train_00308,Medium,Positive
311
+ husky_train_00309,Medium,Negative
312
+ husky_train_00310,Low,Positive
313
+ husky_train_00311,Medium,Negative
314
+ husky_train_00312,Medium,Neutral
315
+ husky_train_00313,Medium,Positive
316
+ husky_train_00314,High,Positive
317
+ husky_train_00315,Medium,Positive
318
+ husky_train_00316,Medium,Negative
319
+ husky_train_00317,Medium,Positive
320
+ husky_train_00318,Low,Positive
321
+ husky_train_00319,High,Positive
322
+ husky_train_00320,High,Positive
323
+ husky_train_00321,Low,Positive
324
+ husky_train_00322,Medium,Negative
325
+ husky_train_00323,High,Positive
326
+ husky_train_00324,Low,Positive
327
+ husky_train_00325,Low,Negative
328
+ husky_train_00326,Medium,Positive
329
+ husky_train_00327,High,Positive
330
+ husky_train_00328,Medium,Positive
331
+ husky_train_00329,High,Positive
332
+ husky_train_00330,High,Positive
333
+ husky_train_00331,High,Positive
334
+ husky_train_00332,Medium,Negative
335
+ husky_train_00333,High,Negative
336
+ husky_train_00334,High,Positive
337
+ husky_train_00335,Medium,Neutral
338
+ husky_train_00336,High,Negative
339
+ husky_train_00337,High,Positive
340
+ husky_train_00338,Medium,Neutral
341
+ husky_train_00339,Medium,Negative
342
+ husky_train_00340,High,Positive
343
+ husky_train_00341,Medium,Positive
344
+ husky_train_00342,Medium,Positive
345
+ husky_train_00343,High,Positive
346
+ husky_train_00344,Medium,Neutral
347
+ husky_train_00345,High,Negative
348
+ husky_train_00346,High,Positive
349
+ husky_train_00347,High,Neutral
350
+ husky_train_00348,High,Positive
351
+ husky_train_00349,Low,Neutral
352
+ husky_train_00350,Medium,Neutral
353
+ husky_train_00351,High,Negative
354
+ husky_train_00352,High,Positive
355
+ husky_train_00353,Medium,Neutral
356
+ husky_train_00354,Medium,Negative
357
+ husky_train_00355,High,Negative
358
+ husky_train_00356,High,Positive
359
+ husky_train_00357,Low,Neutral
360
+ husky_train_00358,Medium,Positive
361
+ husky_train_00359,High,Positive
362
+ husky_train_00360,High,Positive
363
+ husky_train_00361,High,Neutral
364
+ husky_train_00362,Medium,Positive
365
+ husky_train_00363,Medium,Negative
366
+ husky_train_00364,Medium,Positive
367
+ husky_train_00365,High,Neutral
368
+ husky_train_00366,High,Positive
369
+ husky_train_00367,Low,Neutral
370
+ husky_train_00368,Medium,Neutral
371
+ husky_train_00369,Medium,Positive
372
+ husky_train_00370,Medium,Positive
373
+ husky_train_00371,High,Positive
374
+ husky_train_00372,Low,Positive
375
+ husky_train_00373,Medium,Neutral
376
+ husky_train_00374,Medium,Positive
377
+ husky_train_00375,Medium,Positive
378
+ husky_train_00376,Medium,Positive
379
+ husky_train_00377,Medium,Negative
380
+ husky_train_00378,High,Negative
381
+ husky_train_00379,Low,Positive
382
+ husky_train_00380,Medium,Positive
383
+ husky_train_00381,Medium,Positive
384
+ husky_train_00382,High,Positive
385
+ husky_train_00383,Medium,Neutral
386
+ husky_train_00384,Medium,Positive
387
+ husky_train_00385,High,Neutral
388
+ husky_train_00386,Medium,Neutral
389
+ husky_train_00387,Medium,Neutral
390
+ husky_train_00388,Medium,Positive
391
+ husky_train_00389,Low,Positive
392
+ husky_train_00390,High,Negative
393
+ husky_train_00391,High,Positive
394
+ husky_train_00392,Low,Negative
395
+ husky_train_00393,Low,Negative
396
+ husky_train_00394,High,Negative
397
+ husky_train_00395,Medium,Negative
398
+ husky_train_00396,Medium,Negative
399
+ husky_train_00397,Low,Neutral
400
+ husky_train_00398,Medium,Neutral
401
+ husky_train_00399,Low,Neutral
402
+ husky_train_00400,Low,Neutral
403
+ husky_train_00401,Medium,Negative
404
+ husky_train_00402,High,Positive
405
+ husky_train_00403,Low,Negative
406
+ husky_train_00404,High,Neutral
407
+ husky_train_00405,Low,Negative
408
+ husky_train_00406,Low,Neutral
409
+ husky_train_00407,Medium,Neutral
410
+ husky_train_00408,Low,Negative
411
+ husky_train_00409,Medium,Positive
412
+ husky_train_00410,Medium,Positive
413
+ husky_train_00411,Medium,Positive
414
+ husky_train_00412,High,Neutral
415
+ husky_train_00413,High,Positive
416
+ husky_train_00414,Medium,Negative
417
+ husky_train_00415,High,Positive
418
+ husky_train_00416,Medium,Positive
419
+ husky_train_00417,Medium,Positive
420
+ husky_train_00418,High,Positive
421
+ husky_train_00419,Medium,Positive
422
+ husky_train_00420,High,Positive
423
+ husky_train_00421,Low,Positive
424
+ husky_train_00422,Medium,Neutral
425
+ husky_train_00423,Medium,Neutral
426
+ husky_train_00424,Medium,Neutral
427
+ husky_train_00425,Medium,Neutral
428
+ husky_train_00426,Medium,Neutral
429
+ husky_train_00427,Medium,Positive
430
+ husky_train_00428,High,Neutral
431
+ husky_train_00429,High,Neutral
432
+ husky_train_00430,Low,Negative
433
+ husky_train_00431,Medium,Neutral
434
+ husky_train_00432,High,Negative
435
+ husky_train_00433,Medium,Negative
436
+ husky_train_00434,Low,Neutral
437
+ husky_train_00435,Medium,Positive
438
+ husky_train_00436,High,Negative
439
+ husky_train_00437,High,Positive
440
+ husky_train_00438,Medium,Positive
441
+ husky_train_00439,Medium,Positive
442
+ husky_train_00440,Medium,Positive
443
+ husky_train_00441,Low,Neutral
444
+ husky_train_00442,Medium,Neutral
445
+ husky_train_00443,Low,Neutral
446
+ husky_train_00444,High,Positive
447
+ husky_train_00445,Low,Positive
448
+ husky_train_00446,Medium,Neutral
449
+ husky_train_00447,Medium,Positive
450
+ husky_train_00448,High,Positive
451
+ husky_train_00449,High,Negative
452
+ husky_train_00450,High,Negative
453
+ husky_train_00451,High,Negative
454
+ husky_train_00452,High,Negative
455
+ husky_train_00453,High,Negative
456
+ husky_train_00454,High,Negative
457
+ husky_train_00455,High,Negative
458
+ husky_train_00456,High,Negative
459
+ husky_train_00457,High,Negative
460
+ husky_train_00458,High,Negative
461
+ husky_train_00459,High,Negative
462
+ husky_train_00460,High,Neutral
463
+ husky_train_00461,High,Neutral
464
+ husky_train_00462,High,Neutral
465
+ husky_train_00463,High,Neutral
466
+ husky_train_00464,High,Neutral
467
+ husky_train_00465,High,Neutral
468
+ husky_train_00466,High,Neutral
469
+ husky_train_00467,High,Neutral
470
+ husky_train_00468,High,Neutral
471
+ husky_train_00469,High,Neutral
472
+ husky_train_00470,High,Neutral
473
+ husky_train_00471,Low,Negative
474
+ husky_train_00472,Low,Negative
475
+ husky_train_00473,Low,Negative
476
+ husky_train_00474,Low,Negative
477
+ husky_train_00475,Low,Negative
478
+ husky_train_00476,Low,Negative
479
+ husky_train_00477,Low,Negative
480
+ husky_train_00478,Low,Negative
481
+ husky_train_00479,Low,Negative
482
+ husky_train_00480,Low,Negative
483
+ husky_train_00481,Low,Negative
484
+ husky_train_00482,Low,Positive
485
+ husky_train_00483,Low,Positive
486
+ husky_train_00484,Low,Positive
487
+ husky_train_00485,Low,Positive
488
+ husky_train_00486,Low,Positive
489
+ husky_train_00487,Low,Positive
490
+ husky_train_00488,Low,Positive
491
+ husky_train_00489,Low,Positive
492
+ husky_train_00490,Low,Positive
493
+ husky_train_00491,Low,Positive
494
+ husky_train_00492,Low,Positive
495
+ husky_train_00493,Medium,Negative
496
+ husky_train_00494,Medium,Negative
497
+ husky_train_00495,Medium,Negative
498
+ husky_train_00496,Medium,Negative
499
+ husky_train_00497,Medium,Negative
500
+ husky_train_00498,Medium,Negative
501
+ husky_train_00499,Medium,Negative
shiba_train_labels.csv ADDED
@@ -0,0 +1,501 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ audio_id,arousal,valence
2
+ shiba_train_00000,Low,Neutral
3
+ shiba_train_00001,Medium,Neutral
4
+ shiba_train_00002,Medium,Neutral
5
+ shiba_train_00003,Low,Neutral
6
+ shiba_train_00004,Low,Neutral
7
+ shiba_train_00005,Medium,Neutral
8
+ shiba_train_00006,Medium,Neutral
9
+ shiba_train_00007,Low,Negative
10
+ shiba_train_00008,High,Negative
11
+ shiba_train_00009,Low,Neutral
12
+ shiba_train_00010,Low,Neutral
13
+ shiba_train_00011,High,Positive
14
+ shiba_train_00012,Low,Neutral
15
+ shiba_train_00013,Low,Neutral
16
+ shiba_train_00014,Medium,Neutral
17
+ shiba_train_00015,Low,Neutral
18
+ shiba_train_00016,Medium,Positive
19
+ shiba_train_00017,Medium,Negative
20
+ shiba_train_00018,Medium,Neutral
21
+ shiba_train_00019,Low,Neutral
22
+ shiba_train_00020,Medium,Positive
23
+ shiba_train_00021,Low,Neutral
24
+ shiba_train_00022,High,Positive
25
+ shiba_train_00023,High,Positive
26
+ shiba_train_00024,Low,Neutral
27
+ shiba_train_00025,Medium,Neutral
28
+ shiba_train_00026,High,Positive
29
+ shiba_train_00027,High,Neutral
30
+ shiba_train_00028,Low,Neutral
31
+ shiba_train_00029,Medium,Neutral
32
+ shiba_train_00030,Low,Neutral
33
+ shiba_train_00031,Medium,Positive
34
+ shiba_train_00032,High,Positive
35
+ shiba_train_00033,High,Positive
36
+ shiba_train_00034,Medium,Positive
37
+ shiba_train_00035,Low,Neutral
38
+ shiba_train_00036,High,Positive
39
+ shiba_train_00037,High,Positive
40
+ shiba_train_00038,High,Positive
41
+ shiba_train_00039,Medium,Neutral
42
+ shiba_train_00040,Medium,Positive
43
+ shiba_train_00041,Low,Neutral
44
+ shiba_train_00042,Low,Neutral
45
+ shiba_train_00043,High,Positive
46
+ shiba_train_00044,Low,Neutral
47
+ shiba_train_00045,High,Negative
48
+ shiba_train_00046,Medium,Positive
49
+ shiba_train_00047,Low,Neutral
50
+ shiba_train_00048,Low,Neutral
51
+ shiba_train_00049,High,Positive
52
+ shiba_train_00050,High,Positive
53
+ shiba_train_00051,Medium,Neutral
54
+ shiba_train_00052,Low,Neutral
55
+ shiba_train_00053,Medium,Neutral
56
+ shiba_train_00054,Low,Neutral
57
+ shiba_train_00055,Low,Negative
58
+ shiba_train_00056,Medium,Positive
59
+ shiba_train_00057,High,Neutral
60
+ shiba_train_00058,High,Positive
61
+ shiba_train_00059,High,Positive
62
+ shiba_train_00060,High,Positive
63
+ shiba_train_00061,Medium,Positive
64
+ shiba_train_00062,High,Positive
65
+ shiba_train_00063,High,Positive
66
+ shiba_train_00064,Medium,Positive
67
+ shiba_train_00065,High,Positive
68
+ shiba_train_00066,Low,Neutral
69
+ shiba_train_00067,Medium,Positive
70
+ shiba_train_00068,Low,Neutral
71
+ shiba_train_00069,Low,Negative
72
+ shiba_train_00070,High,Positive
73
+ shiba_train_00071,Low,Negative
74
+ shiba_train_00072,High,Positive
75
+ shiba_train_00073,High,Positive
76
+ shiba_train_00074,Medium,Neutral
77
+ shiba_train_00075,Low,Neutral
78
+ shiba_train_00076,Low,Neutral
79
+ shiba_train_00077,High,Positive
80
+ shiba_train_00078,Medium,Positive
81
+ shiba_train_00079,High,Positive
82
+ shiba_train_00080,High,Positive
83
+ shiba_train_00081,Low,Neutral
84
+ shiba_train_00082,Medium,Neutral
85
+ shiba_train_00083,Low,Neutral
86
+ shiba_train_00084,Low,Neutral
87
+ shiba_train_00085,Low,Neutral
88
+ shiba_train_00086,Low,Neutral
89
+ shiba_train_00087,Medium,Neutral
90
+ shiba_train_00088,Low,Neutral
91
+ shiba_train_00089,Low,Neutral
92
+ shiba_train_00090,Low,Neutral
93
+ shiba_train_00091,Medium,Positive
94
+ shiba_train_00092,Low,Neutral
95
+ shiba_train_00093,Low,Negative
96
+ shiba_train_00094,Low,Neutral
97
+ shiba_train_00095,Low,Neutral
98
+ shiba_train_00096,High,Positive
99
+ shiba_train_00097,Low,Neutral
100
+ shiba_train_00098,Medium,Positive
101
+ shiba_train_00099,Low,Negative
102
+ shiba_train_00100,Low,Negative
103
+ shiba_train_00101,High,Positive
104
+ shiba_train_00102,Low,Neutral
105
+ shiba_train_00103,Medium,Positive
106
+ shiba_train_00104,Medium,Positive
107
+ shiba_train_00105,Low,Neutral
108
+ shiba_train_00106,Medium,Negative
109
+ shiba_train_00107,High,Positive
110
+ shiba_train_00108,High,Positive
111
+ shiba_train_00109,Medium,Positive
112
+ shiba_train_00110,Medium,Neutral
113
+ shiba_train_00111,High,Positive
114
+ shiba_train_00112,Low,Neutral
115
+ shiba_train_00113,Low,Neutral
116
+ shiba_train_00114,Medium,Positive
117
+ shiba_train_00115,Low,Neutral
118
+ shiba_train_00116,High,Negative
119
+ shiba_train_00117,High,Positive
120
+ shiba_train_00118,Low,Neutral
121
+ shiba_train_00119,Low,Neutral
122
+ shiba_train_00120,High,Negative
123
+ shiba_train_00121,High,Positive
124
+ shiba_train_00122,Low,Neutral
125
+ shiba_train_00123,Low,Neutral
126
+ shiba_train_00124,High,Negative
127
+ shiba_train_00125,Low,Neutral
128
+ shiba_train_00126,Low,Neutral
129
+ shiba_train_00127,Medium,Positive
130
+ shiba_train_00128,Low,Neutral
131
+ shiba_train_00129,Medium,Positive
132
+ shiba_train_00130,High,Positive
133
+ shiba_train_00131,High,Negative
134
+ shiba_train_00132,Low,Negative
135
+ shiba_train_00133,Medium,Negative
136
+ shiba_train_00134,Low,Neutral
137
+ shiba_train_00135,High,Negative
138
+ shiba_train_00136,Medium,Positive
139
+ shiba_train_00137,Low,Neutral
140
+ shiba_train_00138,High,Positive
141
+ shiba_train_00139,Low,Positive
142
+ shiba_train_00140,Low,Positive
143
+ shiba_train_00141,Medium,Neutral
144
+ shiba_train_00142,Low,Positive
145
+ shiba_train_00143,Low,Neutral
146
+ shiba_train_00144,Low,Neutral
147
+ shiba_train_00145,Medium,Positive
148
+ shiba_train_00146,Low,Neutral
149
+ shiba_train_00147,Medium,Positive
150
+ shiba_train_00148,High,Positive
151
+ shiba_train_00149,High,Negative
152
+ shiba_train_00150,Low,Neutral
153
+ shiba_train_00151,High,Positive
154
+ shiba_train_00152,High,Positive
155
+ shiba_train_00153,Low,Neutral
156
+ shiba_train_00154,High,Positive
157
+ shiba_train_00155,Low,Positive
158
+ shiba_train_00156,High,Positive
159
+ shiba_train_00157,Low,Negative
160
+ shiba_train_00158,Low,Negative
161
+ shiba_train_00159,Low,Neutral
162
+ shiba_train_00160,Low,Neutral
163
+ shiba_train_00161,High,Positive
164
+ shiba_train_00162,Low,Positive
165
+ shiba_train_00163,Medium,Positive
166
+ shiba_train_00164,High,Positive
167
+ shiba_train_00165,Medium,Positive
168
+ shiba_train_00166,Low,Negative
169
+ shiba_train_00167,High,Positive
170
+ shiba_train_00168,High,Negative
171
+ shiba_train_00169,Low,Neutral
172
+ shiba_train_00170,Low,Negative
173
+ shiba_train_00171,Low,Positive
174
+ shiba_train_00172,Low,Neutral
175
+ shiba_train_00173,Medium,Positive
176
+ shiba_train_00174,High,Positive
177
+ shiba_train_00175,High,Positive
178
+ shiba_train_00176,Medium,Neutral
179
+ shiba_train_00177,Low,Negative
180
+ shiba_train_00178,High,Neutral
181
+ shiba_train_00179,High,Positive
182
+ shiba_train_00180,Medium,Positive
183
+ shiba_train_00181,Medium,Neutral
184
+ shiba_train_00182,Medium,Positive
185
+ shiba_train_00183,Low,Neutral
186
+ shiba_train_00184,High,Positive
187
+ shiba_train_00185,Low,Positive
188
+ shiba_train_00186,Low,Neutral
189
+ shiba_train_00187,High,Positive
190
+ shiba_train_00188,High,Positive
191
+ shiba_train_00189,High,Positive
192
+ shiba_train_00190,High,Negative
193
+ shiba_train_00191,Low,Negative
194
+ shiba_train_00192,High,Positive
195
+ shiba_train_00193,High,Negative
196
+ shiba_train_00194,High,Positive
197
+ shiba_train_00195,High,Neutral
198
+ shiba_train_00196,High,Positive
199
+ shiba_train_00197,Low,Negative
200
+ shiba_train_00198,Low,Neutral
201
+ shiba_train_00199,Medium,Neutral
202
+ shiba_train_00200,Medium,Negative
203
+ shiba_train_00201,High,Positive
204
+ shiba_train_00202,High,Positive
205
+ shiba_train_00203,High,Positive
206
+ shiba_train_00204,High,Negative
207
+ shiba_train_00205,Medium,Positive
208
+ shiba_train_00206,Low,Negative
209
+ shiba_train_00207,High,Positive
210
+ shiba_train_00208,Medium,Positive
211
+ shiba_train_00209,Low,Positive
212
+ shiba_train_00210,Medium,Positive
213
+ shiba_train_00211,Medium,Negative
214
+ shiba_train_00212,Medium,Negative
215
+ shiba_train_00213,High,Neutral
216
+ shiba_train_00214,Low,Negative
217
+ shiba_train_00215,Low,Neutral
218
+ shiba_train_00216,High,Negative
219
+ shiba_train_00217,Medium,Positive
220
+ shiba_train_00218,High,Positive
221
+ shiba_train_00219,Low,Negative
222
+ shiba_train_00220,Medium,Negative
223
+ shiba_train_00221,Low,Negative
224
+ shiba_train_00222,Low,Neutral
225
+ shiba_train_00223,Low,Neutral
226
+ shiba_train_00224,Low,Neutral
227
+ shiba_train_00225,Low,Neutral
228
+ shiba_train_00226,Low,Neutral
229
+ shiba_train_00227,High,Positive
230
+ shiba_train_00228,High,Positive
231
+ shiba_train_00229,Low,Neutral
232
+ shiba_train_00230,Low,Neutral
233
+ shiba_train_00231,High,Positive
234
+ shiba_train_00232,High,Positive
235
+ shiba_train_00233,Medium,Neutral
236
+ shiba_train_00234,High,Negative
237
+ shiba_train_00235,High,Positive
238
+ shiba_train_00236,High,Negative
239
+ shiba_train_00237,Medium,Neutral
240
+ shiba_train_00238,Medium,Negative
241
+ shiba_train_00239,High,Neutral
242
+ shiba_train_00240,High,Positive
243
+ shiba_train_00241,High,Positive
244
+ shiba_train_00242,High,Negative
245
+ shiba_train_00243,Low,Neutral
246
+ shiba_train_00244,Low,Positive
247
+ shiba_train_00245,Medium,Positive
248
+ shiba_train_00246,Low,Neutral
249
+ shiba_train_00247,Low,Negative
250
+ shiba_train_00248,Low,Neutral
251
+ shiba_train_00249,Low,Neutral
252
+ shiba_train_00250,High,Negative
253
+ shiba_train_00251,Low,Neutral
254
+ shiba_train_00252,High,Positive
255
+ shiba_train_00253,High,Positive
256
+ shiba_train_00254,High,Positive
257
+ shiba_train_00255,Medium,Negative
258
+ shiba_train_00256,Low,Positive
259
+ shiba_train_00257,Medium,Positive
260
+ shiba_train_00258,Low,Neutral
261
+ shiba_train_00259,High,Negative
262
+ shiba_train_00260,High,Positive
263
+ shiba_train_00261,High,Positive
264
+ shiba_train_00262,Low,Neutral
265
+ shiba_train_00263,Medium,Neutral
266
+ shiba_train_00264,Low,Neutral
267
+ shiba_train_00265,Low,Neutral
268
+ shiba_train_00266,Low,Negative
269
+ shiba_train_00267,High,Positive
270
+ shiba_train_00268,Low,Neutral
271
+ shiba_train_00269,Low,Neutral
272
+ shiba_train_00270,Low,Neutral
273
+ shiba_train_00271,Medium,Positive
274
+ shiba_train_00272,Low,Negative
275
+ shiba_train_00273,High,Negative
276
+ shiba_train_00274,Low,Neutral
277
+ shiba_train_00275,High,Positive
278
+ shiba_train_00276,Medium,Neutral
279
+ shiba_train_00277,High,Negative
280
+ shiba_train_00278,Low,Neutral
281
+ shiba_train_00279,Low,Positive
282
+ shiba_train_00280,Low,Neutral
283
+ shiba_train_00281,High,Positive
284
+ shiba_train_00282,Low,Negative
285
+ shiba_train_00283,High,Positive
286
+ shiba_train_00284,High,Positive
287
+ shiba_train_00285,Medium,Positive
288
+ shiba_train_00286,Low,Neutral
289
+ shiba_train_00287,Low,Positive
290
+ shiba_train_00288,High,Positive
291
+ shiba_train_00289,Medium,Neutral
292
+ shiba_train_00290,Low,Neutral
293
+ shiba_train_00291,High,Neutral
294
+ shiba_train_00292,Medium,Negative
295
+ shiba_train_00293,Medium,Positive
296
+ shiba_train_00294,High,Positive
297
+ shiba_train_00295,High,Positive
298
+ shiba_train_00296,Low,Positive
299
+ shiba_train_00297,High,Positive
300
+ shiba_train_00298,High,Positive
301
+ shiba_train_00299,High,Neutral
302
+ shiba_train_00300,High,Negative
303
+ shiba_train_00301,High,Negative
304
+ shiba_train_00302,High,Positive
305
+ shiba_train_00303,High,Neutral
306
+ shiba_train_00304,Low,Neutral
307
+ shiba_train_00305,Low,Neutral
308
+ shiba_train_00306,High,Positive
309
+ shiba_train_00307,Medium,Positive
310
+ shiba_train_00308,High,Positive
311
+ shiba_train_00309,Low,Negative
312
+ shiba_train_00310,High,Positive
313
+ shiba_train_00311,High,Positive
314
+ shiba_train_00312,Medium,Negative
315
+ shiba_train_00313,Medium,Negative
316
+ shiba_train_00314,Low,Positive
317
+ shiba_train_00315,Medium,Negative
318
+ shiba_train_00316,Low,Positive
319
+ shiba_train_00317,High,Neutral
320
+ shiba_train_00318,High,Neutral
321
+ shiba_train_00319,High,Positive
322
+ shiba_train_00320,High,Positive
323
+ shiba_train_00321,High,Negative
324
+ shiba_train_00322,High,Positive
325
+ shiba_train_00323,High,Neutral
326
+ shiba_train_00324,Medium,Neutral
327
+ shiba_train_00325,Low,Neutral
328
+ shiba_train_00326,Low,Positive
329
+ shiba_train_00327,Medium,Positive
330
+ shiba_train_00328,Medium,Negative
331
+ shiba_train_00329,Medium,Neutral
332
+ shiba_train_00330,Medium,Negative
333
+ shiba_train_00331,Medium,Negative
334
+ shiba_train_00332,Low,Neutral
335
+ shiba_train_00333,Low,Neutral
336
+ shiba_train_00334,Low,Negative
337
+ shiba_train_00335,Medium,Neutral
338
+ shiba_train_00336,High,Negative
339
+ shiba_train_00337,Medium,Negative
340
+ shiba_train_00338,High,Positive
341
+ shiba_train_00339,Medium,Negative
342
+ shiba_train_00340,High,Positive
343
+ shiba_train_00341,Medium,Negative
344
+ shiba_train_00342,Medium,Neutral
345
+ shiba_train_00343,Medium,Positive
346
+ shiba_train_00344,Low,Positive
347
+ shiba_train_00345,Low,Neutral
348
+ shiba_train_00346,Medium,Positive
349
+ shiba_train_00347,Low,Negative
350
+ shiba_train_00348,Medium,Positive
351
+ shiba_train_00349,Low,Negative
352
+ shiba_train_00350,Medium,Negative
353
+ shiba_train_00351,Medium,Neutral
354
+ shiba_train_00352,Medium,Negative
355
+ shiba_train_00353,Low,Positive
356
+ shiba_train_00354,Low,Neutral
357
+ shiba_train_00355,High,Negative
358
+ shiba_train_00356,High,Positive
359
+ shiba_train_00357,Medium,Negative
360
+ shiba_train_00358,High,Negative
361
+ shiba_train_00359,High,Negative
362
+ shiba_train_00360,Medium,Positive
363
+ shiba_train_00361,High,Positive
364
+ shiba_train_00362,Low,Neutral
365
+ shiba_train_00363,Medium,Neutral
366
+ shiba_train_00364,Medium,Negative
367
+ shiba_train_00365,Medium,Negative
368
+ shiba_train_00366,Low,Negative
369
+ shiba_train_00367,Low,Positive
370
+ shiba_train_00368,High,Positive
371
+ shiba_train_00369,High,Positive
372
+ shiba_train_00370,High,Negative
373
+ shiba_train_00371,Low,Neutral
374
+ shiba_train_00372,Low,Negative
375
+ shiba_train_00373,Medium,Positive
376
+ shiba_train_00374,Low,Neutral
377
+ shiba_train_00375,Low,Neutral
378
+ shiba_train_00376,Low,Negative
379
+ shiba_train_00377,High,Positive
380
+ shiba_train_00378,Medium,Neutral
381
+ shiba_train_00379,Low,Negative
382
+ shiba_train_00380,Low,Negative
383
+ shiba_train_00381,Medium,Neutral
384
+ shiba_train_00382,Low,Positive
385
+ shiba_train_00383,Low,Neutral
386
+ shiba_train_00384,Low,Neutral
387
+ shiba_train_00385,Medium,Negative
388
+ shiba_train_00386,Low,Neutral
389
+ shiba_train_00387,High,Positive
390
+ shiba_train_00388,High,Negative
391
+ shiba_train_00389,High,Negative
392
+ shiba_train_00390,High,Negative
393
+ shiba_train_00391,Low,Negative
394
+ shiba_train_00392,High,Positive
395
+ shiba_train_00393,High,Negative
396
+ shiba_train_00394,Medium,Negative
397
+ shiba_train_00395,Medium,Neutral
398
+ shiba_train_00396,Medium,Neutral
399
+ shiba_train_00397,Low,Negative
400
+ shiba_train_00398,High,Negative
401
+ shiba_train_00399,High,Positive
402
+ shiba_train_00400,Low,Positive
403
+ shiba_train_00401,High,Negative
404
+ shiba_train_00402,Low,Negative
405
+ shiba_train_00403,Low,Neutral
406
+ shiba_train_00404,Medium,Neutral
407
+ shiba_train_00405,Medium,Negative
408
+ shiba_train_00406,High,Positive
409
+ shiba_train_00407,Low,Neutral
410
+ shiba_train_00408,Low,Neutral
411
+ shiba_train_00409,Medium,Positive
412
+ shiba_train_00410,High,Negative
413
+ shiba_train_00411,Low,Negative
414
+ shiba_train_00412,Low,Neutral
415
+ shiba_train_00413,High,Positive
416
+ shiba_train_00414,Low,Negative
417
+ shiba_train_00415,High,Positive
418
+ shiba_train_00416,Low,Positive
419
+ shiba_train_00417,High,Positive
420
+ shiba_train_00418,High,Negative
421
+ shiba_train_00419,Low,Neutral
422
+ shiba_train_00420,Medium,Neutral
423
+ shiba_train_00421,High,Positive
424
+ shiba_train_00422,Medium,Positive
425
+ shiba_train_00423,Medium,Positive
426
+ shiba_train_00424,Medium,Positive
427
+ shiba_train_00425,High,Negative
428
+ shiba_train_00426,Low,Neutral
429
+ shiba_train_00427,Medium,Positive
430
+ shiba_train_00428,Medium,Positive
431
+ shiba_train_00429,Medium,Positive
432
+ shiba_train_00430,Low,Neutral
433
+ shiba_train_00431,Low,Neutral
434
+ shiba_train_00432,Low,Positive
435
+ shiba_train_00433,Low,Neutral
436
+ shiba_train_00434,Low,Positive
437
+ shiba_train_00435,Medium,Positive
438
+ shiba_train_00436,Low,Neutral
439
+ shiba_train_00437,Low,Neutral
440
+ shiba_train_00438,Low,Neutral
441
+ shiba_train_00439,Medium,Positive
442
+ shiba_train_00440,High,Positive
443
+ shiba_train_00441,Medium,Positive
444
+ shiba_train_00442,Low,Neutral
445
+ shiba_train_00443,Low,Negative
446
+ shiba_train_00444,High,Neutral
447
+ shiba_train_00445,High,Neutral
448
+ shiba_train_00446,High,Neutral
449
+ shiba_train_00447,High,Neutral
450
+ shiba_train_00448,High,Neutral
451
+ shiba_train_00449,High,Neutral
452
+ shiba_train_00450,High,Neutral
453
+ shiba_train_00451,High,Neutral
454
+ shiba_train_00452,High,Neutral
455
+ shiba_train_00453,High,Neutral
456
+ shiba_train_00454,Low,Positive
457
+ shiba_train_00455,Low,Positive
458
+ shiba_train_00456,Low,Positive
459
+ shiba_train_00457,Low,Positive
460
+ shiba_train_00458,Low,Positive
461
+ shiba_train_00459,Low,Positive
462
+ shiba_train_00460,Low,Positive
463
+ shiba_train_00461,Low,Positive
464
+ shiba_train_00462,Low,Positive
465
+ shiba_train_00463,Low,Positive
466
+ shiba_train_00464,Low,Positive
467
+ shiba_train_00465,Medium,Negative
468
+ shiba_train_00466,Medium,Negative
469
+ shiba_train_00467,Medium,Negative
470
+ shiba_train_00468,Medium,Negative
471
+ shiba_train_00469,Medium,Negative
472
+ shiba_train_00470,Medium,Negative
473
+ shiba_train_00471,Medium,Negative
474
+ shiba_train_00472,Medium,Negative
475
+ shiba_train_00473,Medium,Negative
476
+ shiba_train_00474,Medium,Negative
477
+ shiba_train_00475,Medium,Negative
478
+ shiba_train_00476,Medium,Neutral
479
+ shiba_train_00477,Medium,Neutral
480
+ shiba_train_00478,Medium,Neutral
481
+ shiba_train_00479,Medium,Neutral
482
+ shiba_train_00480,Medium,Neutral
483
+ shiba_train_00481,Medium,Neutral
484
+ shiba_train_00482,Medium,Neutral
485
+ shiba_train_00483,Medium,Neutral
486
+ shiba_train_00484,Medium,Neutral
487
+ shiba_train_00485,Medium,Neutral
488
+ shiba_train_00486,Medium,Neutral
489
+ shiba_train_00487,High,Negative
490
+ shiba_train_00488,High,Negative
491
+ shiba_train_00489,High,Negative
492
+ shiba_train_00490,High,Negative
493
+ shiba_train_00491,High,Negative
494
+ shiba_train_00492,High,Negative
495
+ shiba_train_00493,High,Negative
496
+ shiba_train_00494,High,Negative
497
+ shiba_train_00495,High,Negative
498
+ shiba_train_00496,High,Negative
499
+ shiba_train_00497,High,Negative
500
+ shiba_train_00498,Low,Negative
501
+ shiba_train_00499,Low,Negative