File size: 20,949 Bytes
ce14978
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4fe7b5f
 
 
4e15454
 
 
fe8cfe9
 
 
96c8fbc
 
 
698c8f6
 
 
e0ddd6c
 
 
09db41f
 
 
8f794e3
 
 
611701d
 
 
45f5cf9
 
 
818d31d
 
 
009c6cd
 
 
1a14128
 
 
66dc96d
 
 
d908565
 
 
fef8b3f
 
 
b965145
 
 
46994d3
 
 
1b5a1b5
 
 
deba3fc
 
 
00c84bc
 
 
512ce98
 
 
9e29c34
 
 
1a04a36
 
 
cd5500b
 
 
63a3c07
 
 
662f60f
 
 
7f34e12
 
 
5e623ef
 
 
48bf645
 
 
a8d74a3
 
 
041f831
 
 
ed04be4
 
 
dd0a88d
 
 
e17c9f2
 
 
a14b664
 
 
17c119d
 
 
307a797
 
 
4fd89af
 
 
83f4f4f
 
 
cc1ef64
 
 
088f6f4
 
 
66c9ff2
 
 
89df26d
 
 
736f357
 
 
c665fe9
 
 
3475ef6
 
 
98282d1
 
 
6763ae5
 
 
eb96c79
 
 
2f804c5
 
 
295226e
 
 
f6c5c4b
 
 
6a4ba08
 
 
52115ec
 
 
f218ec7
 
 
4acc3c3
 
 
834279d
 
 
ac32faa
 
 
d4c609f
 
 
9522992
 
 
66d305a
 
 
78b5f05
 
 
6f0d054
 
 
5ef3db2
 
 
0243bd4
 
 
50d619c
 
 
925636f
 
 
6f49557
 
 
33d1e78
 
 
ba1b11f
 
 
0db5136
 
 
96f1c6a
 
 
46b7d50
 
 
e3c0060
 
 
7df7f8a
 
 
9199bd4
 
 
e1ee991
 
 
e94db95
 
 
4939175
 
 
48a6893
 
 
f376fe3
 
 
914c6da
 
 
31c7904
 
 
960a148
 
 
6ed9d1c
 
 
2d6e1df
 
 
9c4fe01
 
 
274bfd4
 
 
55b75fb
 
 
36573b5
 
 
4899bb8
 
 
2b95305
 
 
6f5ec1b
 
 
c2689b9
 
 
3c8ff0c
 
 
4056b86
 
 
0657bec
 
 
669b72d
 
 
9a80dee
 
 
d2f30dd
 
 
3afab51
 
 
b4b8120
 
 
2c9fc96
 
 
8b4faf8
 
 
405fd51
 
 
d7b803c
 
 
950b958
 
 
1508eeb
 
 
c16bcfe
 
 
71df653
 
 
913b050
 
 
abebf74
 
 
aba29da
 
 
ffc3fe0
 
 
b05460e
 
 
1b457b0
 
 
f72182d
 
 
36e5b22
 
 
34eec5e
 
 
bd656ea
 
 
8e610da
 
 
3081249
 
 
9de8270
 
 
3e263e1
 
 
7acdd75
 
 
2f83519
 
 
4f93c1d
 
 
a7cfda9
 
 
dd07744
 
 
8f19391
 
 
a5950a0
 
 
73a3545
 
 
c8e7db9
 
 
c0e43ed
 
 
4ef60bb
 
 
767ee83
 
 
6bb2f28
 
 
49dc953
 
 
62eb459
 
 
149f68b
 
 
1970253
 
 
2eefa80
 
 
80cf44b
 
 
6c776e2
 
 
bd0c871
 
 
e0a3215
 
 
ffba319
 
 
5411da8
 
 
8886fb8
 
 
94a402a
 
 
06d4781
 
 
64afdd6
 
 
43d8618
 
 
e286dc4
 
 
c142b8a
 
 
94da31c
 
 
950a8cb
 
 
bda93df
 
 
63a652d
 
 
7a99cb1
 
 
d635b6f
 
 
27f33b1
 
 
73614e5
 
 
05f7506
 
 
bd3c4fd
 
 
845fbcf
 
 
86fcfcd
 
 
a2fabc1
 
 
6fd1cdb
 
 
e41e116
 
 
3c6a51b
 
 
11a9ced
 
 
4aff1a9
 
 
016a3f9
 
 
099a4c4
 
 
682d04a
 
 
ea1d894
 
 
4c8ec12
 
 
8347639
 
 
 
 
ce14978
 
 
 
 
e429ddd
 
4fe7b5f
 
4e15454
 
fe8cfe9
 
96c8fbc
 
698c8f6
 
e0ddd6c
 
09db41f
 
8f794e3
 
611701d
 
45f5cf9
 
818d31d
 
009c6cd
 
1a14128
 
66dc96d
 
d908565
 
fef8b3f
 
b965145
 
46994d3
 
1b5a1b5
 
deba3fc
 
00c84bc
 
512ce98
 
9e29c34
 
1a04a36
 
cd5500b
 
63a3c07
 
662f60f
 
7f34e12
 
5e623ef
 
48bf645
 
a8d74a3
 
041f831
 
ed04be4
 
dd0a88d
 
e17c9f2
 
a14b664
 
17c119d
 
307a797
 
4fd89af
 
83f4f4f
 
cc1ef64
 
088f6f4
 
66c9ff2
 
89df26d
 
736f357
 
c665fe9
 
3475ef6
 
98282d1
 
6763ae5
 
eb96c79
 
2f804c5
 
295226e
 
f6c5c4b
 
6a4ba08
 
52115ec
 
f218ec7
 
4acc3c3
 
834279d
 
ac32faa
 
d4c609f
 
9522992
 
66d305a
 
78b5f05
 
6f0d054
 
5ef3db2
 
0243bd4
 
50d619c
 
925636f
 
6f49557
 
33d1e78
 
ba1b11f
 
0db5136
 
96f1c6a
 
46b7d50
 
e3c0060
 
7df7f8a
 
9199bd4
 
e1ee991
 
e94db95
 
4939175
 
48a6893
 
f376fe3
 
914c6da
 
4cdd462
 
2d6e1df
 
9c4fe01
 
274bfd4
 
55b75fb
 
36573b5
 
4899bb8
 
2b95305
 
6f5ec1b
 
c2689b9
 
3c8ff0c
 
4056b86
 
0657bec
 
669b72d
 
9a80dee
 
d2f30dd
 
3afab51
 
b4b8120
 
2c9fc96
 
8b4faf8
 
405fd51
 
d7b803c
 
950b958
 
1508eeb
 
c16bcfe
 
71df653
 
913b050
 
abebf74
 
aba29da
 
ffc3fe0
 
b05460e
 
1b457b0
 
f72182d
 
36e5b22
 
34eec5e
 
bd656ea
 
8e610da
 
3081249
 
9de8270
 
3e263e1
 
7acdd75
 
2f83519
 
4f93c1d
 
a7cfda9
 
dd07744
 
8f19391
 
a5950a0
 
73a3545
 
c8e7db9
 
c0e43ed
 
4ef60bb
 
767ee83
 
6bb2f28
 
49dc953
 
62eb459
 
149f68b
 
1970253
 
2eefa80
 
80cf44b
 
6c776e2
 
bd0c871
 
e0a3215
 
ffba319
 
5411da8
 
8886fb8
 
94a402a
 
06d4781
 
64afdd6
 
43d8618
 
e286dc4
 
c142b8a
 
94da31c
 
950a8cb
 
bda93df
 
63a652d
 
7a99cb1
 
d635b6f
 
27f33b1
 
73614e5
 
05f7506
 
bd3c4fd
 
845fbcf
 
86fcfcd
 
a2fabc1
 
6fd1cdb
 
e41e116
 
3c6a51b
 
11a9ced
 
4aff1a9
 
016a3f9
 
099a4c4
 
682d04a
 
ea1d894
 
4c8ec12
 
8347639
 
ce14978
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: text
    dtype: string
  - name: genres
    sequence: string
  - name: vocal
    dtype:
      audio:
        sampling_rate: 16000
  - name: phonemes
    dtype: string
  splits:
  - name: train_2
    num_bytes: 309252261.0
    num_examples: 20
  - name: train_3
    num_bytes: 257283079.0
    num_examples: 20
  - name: train_4
    num_bytes: 208156712.0
    num_examples: 20
  - name: train_5
    num_bytes: 200593845.0
    num_examples: 20
  - name: train_6
    num_bytes: 222923324.0
    num_examples: 20
  - name: train_7
    num_bytes: 220418269.0
    num_examples: 20
  - name: train_8
    num_bytes: 299565930.0
    num_examples: 20
  - name: train_9
    num_bytes: 285839374.0
    num_examples: 20
  - name: train_10
    num_bytes: 289554182.0
    num_examples: 20
  - name: train_11
    num_bytes: 270977510.0
    num_examples: 20
  - name: train_12
    num_bytes: 264904277.0
    num_examples: 20
  - name: train_13
    num_bytes: 228076253.0
    num_examples: 20
  - name: train_14
    num_bytes: 261635854.0
    num_examples: 20
  - name: train_15
    num_bytes: 240395051.0
    num_examples: 20
  - name: train_16
    num_bytes: 207800605.0
    num_examples: 20
  - name: train_17
    num_bytes: 175348828.0
    num_examples: 20
  - name: train_18
    num_bytes: 157128316.0
    num_examples: 20
  - name: train_19
    num_bytes: 240199607.0
    num_examples: 20
  - name: train_20
    num_bytes: 240827692.0
    num_examples: 20
  - name: train_21
    num_bytes: 225773644.0
    num_examples: 20
  - name: train_22
    num_bytes: 194970936.0
    num_examples: 20
  - name: train_23
    num_bytes: 203075375.0
    num_examples: 20
  - name: train_24
    num_bytes: 216888706.0
    num_examples: 20
  - name: train_25
    num_bytes: 208747918.0
    num_examples: 20
  - name: train_26
    num_bytes: 223251017.0
    num_examples: 20
  - name: train_27
    num_bytes: 250245229.0
    num_examples: 20
  - name: train_28
    num_bytes: 291812835.0
    num_examples: 20
  - name: train_29
    num_bytes: 174852987.0
    num_examples: 20
  - name: train_30
    num_bytes: 206594116.0
    num_examples: 20
  - name: train_31
    num_bytes: 219953834.0
    num_examples: 20
  - name: train_32
    num_bytes: 219553356.0
    num_examples: 20
  - name: train_33
    num_bytes: 220403641.0
    num_examples: 20
  - name: train_34
    num_bytes: 226703300.0
    num_examples: 20
  - name: train_35
    num_bytes: 250363880.0
    num_examples: 20
  - name: train_36
    num_bytes: 245299485.0
    num_examples: 20
  - name: train_37
    num_bytes: 309110972.0
    num_examples: 20
  - name: train_38
    num_bytes: 222701139.0
    num_examples: 20
  - name: train_39
    num_bytes: 165295434.0
    num_examples: 20
  - name: train_40
    num_bytes: 205046007.0
    num_examples: 20
  - name: train_41
    num_bytes: 258324210.0
    num_examples: 20
  - name: train_42
    num_bytes: 160736472.0
    num_examples: 20
  - name: train_43
    num_bytes: 213319563.0
    num_examples: 20
  - name: train_44
    num_bytes: 196546686.0
    num_examples: 20
  - name: train_45
    num_bytes: 243619053.0
    num_examples: 20
  - name: train_46
    num_bytes: 233154278.0
    num_examples: 20
  - name: train_47
    num_bytes: 229514781.0
    num_examples: 20
  - name: train_48
    num_bytes: 227286495.0
    num_examples: 20
  - name: train_49
    num_bytes: 226692248.0
    num_examples: 20
  - name: train_50
    num_bytes: 236151952.0
    num_examples: 20
  - name: train_51
    num_bytes: 237631441.0
    num_examples: 20
  - name: train_52
    num_bytes: 219825139.0
    num_examples: 20
  - name: train_53
    num_bytes: 243121798.0
    num_examples: 20
  - name: train_54
    num_bytes: 250458136.0
    num_examples: 20
  - name: train_55
    num_bytes: 220778864.0
    num_examples: 20
  - name: train_56
    num_bytes: 218651779.0
    num_examples: 20
  - name: train_57
    num_bytes: 229598810.0
    num_examples: 20
  - name: train_58
    num_bytes: 239888976.0
    num_examples: 20
  - name: train_59
    num_bytes: 254822802.0
    num_examples: 20
  - name: train_60
    num_bytes: 201895414.0
    num_examples: 20
  - name: train_61
    num_bytes: 202354756.0
    num_examples: 20
  - name: train_62
    num_bytes: 220457183.0
    num_examples: 20
  - name: train_63
    num_bytes: 218295723.0
    num_examples: 20
  - name: train_64
    num_bytes: 262837740.0
    num_examples: 20
  - name: train_65
    num_bytes: 236874980.0
    num_examples: 20
  - name: train_66
    num_bytes: 228432949.0
    num_examples: 20
  - name: train_67
    num_bytes: 240924897.0
    num_examples: 20
  - name: train_68
    num_bytes: 175633589.0
    num_examples: 20
  - name: train_69
    num_bytes: 208158315.0
    num_examples: 20
  - name: train_70
    num_bytes: 265421726.0
    num_examples: 20
  - name: train_71
    num_bytes: 232871014.0
    num_examples: 20
  - name: train_72
    num_bytes: 253671390.0
    num_examples: 20
  - name: train_73
    num_bytes: 232753923.0
    num_examples: 20
  - name: train_74
    num_bytes: 209795790.0
    num_examples: 20
  - name: train_75
    num_bytes: 182296412.0
    num_examples: 20
  - name: train_76
    num_bytes: 213184360.0
    num_examples: 20
  - name: train_77
    num_bytes: 214138243.0
    num_examples: 20
  - name: train_78
    num_bytes: 248544289.0
    num_examples: 20
  - name: train_79
    num_bytes: 243983600.0
    num_examples: 20
  - name: train_80
    num_bytes: 206569995.0
    num_examples: 20
  - name: train_81
    num_bytes: 171498705.0
    num_examples: 20
  - name: train_82
    num_bytes: 195086780.0
    num_examples: 20
  - name: train_83
    num_bytes: 273593788.0
    num_examples: 20
  - name: train_84
    num_bytes: 269850686.0
    num_examples: 20
  - name: train_0
    num_bytes: 226022048.0
    num_examples: 20
  - name: train_1
    num_bytes: 196853602.0
    num_examples: 20
  - name: train_85
    num_bytes: 226022048.0
    num_examples: 20
  - name: train_86
    num_bytes: 196853602.0
    num_examples: 20
  - name: train_87
    num_bytes: 199396780.0
    num_examples: 20
  - name: train_88
    num_bytes: 248453490.0
    num_examples: 20
  - name: train_89
    num_bytes: 261808770.0
    num_examples: 20
  - name: train_90
    num_bytes: 225267876.0
    num_examples: 20
  - name: train_91
    num_bytes: 294916908.0
    num_examples: 20
  - name: train_92
    num_bytes: 267277583.0
    num_examples: 20
  - name: train_93
    num_bytes: 313966260.0
    num_examples: 20
  - name: train_94
    num_bytes: 316632619.0
    num_examples: 20
  - name: train_95
    num_bytes: 294864273.0
    num_examples: 20
  - name: train_96
    num_bytes: 253087712.0
    num_examples: 20
  - name: train_97
    num_bytes: 224533860.0
    num_examples: 20
  - name: train_98
    num_bytes: 231451680.0
    num_examples: 20
  - name: train_99
    num_bytes: 187760333.0
    num_examples: 20
  - name: train_100
    num_bytes: 182138736.0
    num_examples: 20
  - name: train_101
    num_bytes: 187915047.0
    num_examples: 20
  - name: train_102
    num_bytes: 207811432.0
    num_examples: 20
  - name: train_103
    num_bytes: 206562476.0
    num_examples: 20
  - name: train_104
    num_bytes: 185789302.0
    num_examples: 20
  - name: train_105
    num_bytes: 195805325.0
    num_examples: 20
  - name: train_106
    num_bytes: 230198269.0
    num_examples: 20
  - name: train_107
    num_bytes: 214163522.0
    num_examples: 20
  - name: train_108
    num_bytes: 203486612.0
    num_examples: 20
  - name: train_109
    num_bytes: 227504470.0
    num_examples: 20
  - name: train_110
    num_bytes: 229051803.0
    num_examples: 20
  - name: train_111
    num_bytes: 227830142.0
    num_examples: 20
  - name: train_112
    num_bytes: 171317787.0
    num_examples: 20
  - name: train_113
    num_bytes: 245170008.0
    num_examples: 20
  - name: train_114
    num_bytes: 265198147.0
    num_examples: 20
  - name: train_115
    num_bytes: 171890623.0
    num_examples: 20
  - name: train_116
    num_bytes: 216178180.0
    num_examples: 20
  - name: train_117
    num_bytes: 251539091.0
    num_examples: 20
  - name: train_118
    num_bytes: 262324231.0
    num_examples: 20
  - name: train_119
    num_bytes: 233571992.0
    num_examples: 20
  - name: train_120
    num_bytes: 270041026.0
    num_examples: 20
  - name: train_121
    num_bytes: 229601845.0
    num_examples: 20
  - name: train_122
    num_bytes: 206206188.0
    num_examples: 20
  - name: train_123
    num_bytes: 212396165.0
    num_examples: 20
  - name: train_124
    num_bytes: 176650751.0
    num_examples: 20
  - name: train_125
    num_bytes: 181222769.0
    num_examples: 20
  - name: train_126
    num_bytes: 259819344.0
    num_examples: 20
  - name: train_127
    num_bytes: 255383065.0
    num_examples: 20
  - name: train_128
    num_bytes: 268806616.0
    num_examples: 20
  - name: train_129
    num_bytes: 184722380.0
    num_examples: 20
  - name: train_130
    num_bytes: 251265019.0
    num_examples: 20
  - name: train_131
    num_bytes: 232611379.0
    num_examples: 20
  - name: train_132
    num_bytes: 217301924.0
    num_examples: 20
  - name: train_133
    num_bytes: 253355678.0
    num_examples: 20
  - name: train_134
    num_bytes: 211963757.0
    num_examples: 20
  - name: train_135
    num_bytes: 207183073.0
    num_examples: 20
  - name: train_136
    num_bytes: 283693050.0
    num_examples: 20
  - name: train_137
    num_bytes: 328019213.0
    num_examples: 20
  - name: train_138
    num_bytes: 207887122.0
    num_examples: 20
  - name: train_139
    num_bytes: 180817452.0
    num_examples: 20
  - name: train_140
    num_bytes: 148130878.0
    num_examples: 20
  - name: train_141
    num_bytes: 148692578.0
    num_examples: 20
  - name: train_142
    num_bytes: 199478992.0
    num_examples: 20
  - name: train_143
    num_bytes: 183213454.0
    num_examples: 20
  - name: train_144
    num_bytes: 288953429.0
    num_examples: 20
  - name: train_145
    num_bytes: 303833266.0
    num_examples: 20
  - name: train_146
    num_bytes: 312489732.0
    num_examples: 20
  - name: train_147
    num_bytes: 266774233.0
    num_examples: 20
  - name: train_148
    num_bytes: 201755339.0
    num_examples: 20
  - name: train_149
    num_bytes: 194562608.0
    num_examples: 20
  - name: train_150
    num_bytes: 169990024.0
    num_examples: 20
  - name: train_151
    num_bytes: 166738412.0
    num_examples: 20
  - name: train_152
    num_bytes: 166797243.0
    num_examples: 20
  - name: train_153
    num_bytes: 225036154.0
    num_examples: 20
  - name: train_154
    num_bytes: 180224371.0
    num_examples: 20
  - name: train_155
    num_bytes: 217562573.0
    num_examples: 20
  - name: train_156
    num_bytes: 219993543.0
    num_examples: 20
  - name: train_157
    num_bytes: 221481047.0
    num_examples: 20
  - name: train_158
    num_bytes: 228194698.0
    num_examples: 20
  - name: train_159
    num_bytes: 293628701.0
    num_examples: 20
  - name: train_160
    num_bytes: 252036913.0
    num_examples: 20
  - name: train_161
    num_bytes: 246353180.0
    num_examples: 20
  - name: train_162
    num_bytes: 198567085.0
    num_examples: 20
  - name: train_163
    num_bytes: 205836695.0
    num_examples: 20
  - name: train_164
    num_bytes: 200837347.0
    num_examples: 20
  - name: train_165
    num_bytes: 188615833.0
    num_examples: 20
  - name: train_166
    num_bytes: 217325798.0
    num_examples: 20
  - name: train_167
    num_bytes: 238038709.0
    num_examples: 20
  - name: train_168
    num_bytes: 248707023.0
    num_examples: 20
  - name: train_169
    num_bytes: 219570351.0
    num_examples: 20
  - name: train_170
    num_bytes: 218713329.0
    num_examples: 20
  - name: train_171
    num_bytes: 219698735.0
    num_examples: 20
  - name: train_172
    num_bytes: 221398915.0
    num_examples: 20
  - name: train_173
    num_bytes: 179627098.0
    num_examples: 20
  - name: train_174
    num_bytes: 211799696.0
    num_examples: 20
  - name: train_175
    num_bytes: 196269457.0
    num_examples: 20
  - name: train_176
    num_bytes: 202724456.0
    num_examples: 20
  - name: train_177
    num_bytes: 204151249.0
    num_examples: 20
  - name: train_178
    num_bytes: 211648819.0
    num_examples: 20
  - name: train_final
    num_bytes: 55774385.0
    num_examples: 5
  download_size: 39549345803
  dataset_size: 40585565313.0
configs:
- config_name: default
  data_files:
  - split: train_0
    path: data/train_0-*
  - split: train_1
    path: data/train_1-*
  - split: train_2
    path: data/train_2-*
  - split: train_3
    path: data/train_3-*
  - split: train_4
    path: data/train_4-*
  - split: train_5
    path: data/train_5-*
  - split: train_6
    path: data/train_6-*
  - split: train_7
    path: data/train_7-*
  - split: train_8
    path: data/train_8-*
  - split: train_9
    path: data/train_9-*
  - split: train_10
    path: data/train_10-*
  - split: train_11
    path: data/train_11-*
  - split: train_12
    path: data/train_12-*
  - split: train_13
    path: data/train_13-*
  - split: train_14
    path: data/train_14-*
  - split: train_15
    path: data/train_15-*
  - split: train_16
    path: data/train_16-*
  - split: train_17
    path: data/train_17-*
  - split: train_18
    path: data/train_18-*
  - split: train_19
    path: data/train_19-*
  - split: train_20
    path: data/train_20-*
  - split: train_21
    path: data/train_21-*
  - split: train_22
    path: data/train_22-*
  - split: train_23
    path: data/train_23-*
  - split: train_24
    path: data/train_24-*
  - split: train_25
    path: data/train_25-*
  - split: train_26
    path: data/train_26-*
  - split: train_27
    path: data/train_27-*
  - split: train_28
    path: data/train_28-*
  - split: train_29
    path: data/train_29-*
  - split: train_30
    path: data/train_30-*
  - split: train_31
    path: data/train_31-*
  - split: train_32
    path: data/train_32-*
  - split: train_33
    path: data/train_33-*
  - split: train_34
    path: data/train_34-*
  - split: train_35
    path: data/train_35-*
  - split: train_36
    path: data/train_36-*
  - split: train_37
    path: data/train_37-*
  - split: train_38
    path: data/train_38-*
  - split: train_39
    path: data/train_39-*
  - split: train_40
    path: data/train_40-*
  - split: train_41
    path: data/train_41-*
  - split: train_42
    path: data/train_42-*
  - split: train_43
    path: data/train_43-*
  - split: train_44
    path: data/train_44-*
  - split: train_45
    path: data/train_45-*
  - split: train_46
    path: data/train_46-*
  - split: train_47
    path: data/train_47-*
  - split: train_48
    path: data/train_48-*
  - split: train_49
    path: data/train_49-*
  - split: train_50
    path: data/train_50-*
  - split: train_51
    path: data/train_51-*
  - split: train_52
    path: data/train_52-*
  - split: train_53
    path: data/train_53-*
  - split: train_54
    path: data/train_54-*
  - split: train_55
    path: data/train_55-*
  - split: train_56
    path: data/train_56-*
  - split: train_57
    path: data/train_57-*
  - split: train_58
    path: data/train_58-*
  - split: train_59
    path: data/train_59-*
  - split: train_60
    path: data/train_60-*
  - split: train_61
    path: data/train_61-*
  - split: train_62
    path: data/train_62-*
  - split: train_63
    path: data/train_63-*
  - split: train_64
    path: data/train_64-*
  - split: train_65
    path: data/train_65-*
  - split: train_66
    path: data/train_66-*
  - split: train_67
    path: data/train_67-*
  - split: train_68
    path: data/train_68-*
  - split: train_69
    path: data/train_69-*
  - split: train_70
    path: data/train_70-*
  - split: train_71
    path: data/train_71-*
  - split: train_72
    path: data/train_72-*
  - split: train_73
    path: data/train_73-*
  - split: train_74
    path: data/train_74-*
  - split: train_75
    path: data/train_75-*
  - split: train_76
    path: data/train_76-*
  - split: train_77
    path: data/train_77-*
  - split: train_78
    path: data/train_78-*
  - split: train_79
    path: data/train_79-*
  - split: train_80
    path: data/train_80-*
  - split: train_81
    path: data/train_81-*
  - split: train_82
    path: data/train_82-*
  - split: train_83
    path: data/train_83-*
  - split: train_84
    path: data/train_84-*
  - split: train_85
    path: data/train_85-*
  - split: train_86
    path: data/train_86-*
  - split: train_87
    path: data/train_87-*
  - split: train_88
    path: data/train_88-*
  - split: train_89
    path: data/train_89-*
  - split: train_90
    path: data/train_90-*
  - split: train_91
    path: data/train_91-*
  - split: train_92
    path: data/train_92-*
  - split: train_93
    path: data/train_93-*
  - split: train_94
    path: data/train_94-*
  - split: train_95
    path: data/train_95-*
  - split: train_96
    path: data/train_96-*
  - split: train_97
    path: data/train_97-*
  - split: train_98
    path: data/train_98-*
  - split: train_99
    path: data/train_99-*
  - split: train_100
    path: data/train_100-*
  - split: train_101
    path: data/train_101-*
  - split: train_102
    path: data/train_102-*
  - split: train_103
    path: data/train_103-*
  - split: train_104
    path: data/train_104-*
  - split: train_105
    path: data/train_105-*
  - split: train_106
    path: data/train_106-*
  - split: train_107
    path: data/train_107-*
  - split: train_108
    path: data/train_108-*
  - split: train_109
    path: data/train_109-*
  - split: train_110
    path: data/train_110-*
  - split: train_111
    path: data/train_111-*
  - split: train_112
    path: data/train_112-*
  - split: train_113
    path: data/train_113-*
  - split: train_114
    path: data/train_114-*
  - split: train_115
    path: data/train_115-*
  - split: train_116
    path: data/train_116-*
  - split: train_117
    path: data/train_117-*
  - split: train_118
    path: data/train_118-*
  - split: train_119
    path: data/train_119-*
  - split: train_120
    path: data/train_120-*
  - split: train_121
    path: data/train_121-*
  - split: train_122
    path: data/train_122-*
  - split: train_123
    path: data/train_123-*
  - split: train_124
    path: data/train_124-*
  - split: train_125
    path: data/train_125-*
  - split: train_126
    path: data/train_126-*
  - split: train_127
    path: data/train_127-*
  - split: train_128
    path: data/train_128-*
  - split: train_129
    path: data/train_129-*
  - split: train_130
    path: data/train_130-*
  - split: train_131
    path: data/train_131-*
  - split: train_132
    path: data/train_132-*
  - split: train_133
    path: data/train_133-*
  - split: train_134
    path: data/train_134-*
  - split: train_135
    path: data/train_135-*
  - split: train_136
    path: data/train_136-*
  - split: train_137
    path: data/train_137-*
  - split: train_138
    path: data/train_138-*
  - split: train_139
    path: data/train_139-*
  - split: train_140
    path: data/train_140-*
  - split: train_141
    path: data/train_141-*
  - split: train_142
    path: data/train_142-*
  - split: train_143
    path: data/train_143-*
  - split: train_144
    path: data/train_144-*
  - split: train_145
    path: data/train_145-*
  - split: train_146
    path: data/train_146-*
  - split: train_147
    path: data/train_147-*
  - split: train_148
    path: data/train_148-*
  - split: train_149
    path: data/train_149-*
  - split: train_150
    path: data/train_150-*
  - split: train_151
    path: data/train_151-*
  - split: train_152
    path: data/train_152-*
  - split: train_153
    path: data/train_153-*
  - split: train_154
    path: data/train_154-*
  - split: train_155
    path: data/train_155-*
  - split: train_156
    path: data/train_156-*
  - split: train_157
    path: data/train_157-*
  - split: train_158
    path: data/train_158-*
  - split: train_159
    path: data/train_159-*
  - split: train_160
    path: data/train_160-*
  - split: train_161
    path: data/train_161-*
  - split: train_162
    path: data/train_162-*
  - split: train_163
    path: data/train_163-*
  - split: train_164
    path: data/train_164-*
  - split: train_165
    path: data/train_165-*
  - split: train_166
    path: data/train_166-*
  - split: train_167
    path: data/train_167-*
  - split: train_168
    path: data/train_168-*
  - split: train_169
    path: data/train_169-*
  - split: train_170
    path: data/train_170-*
  - split: train_171
    path: data/train_171-*
  - split: train_172
    path: data/train_172-*
  - split: train_173
    path: data/train_173-*
  - split: train_174
    path: data/train_174-*
  - split: train_175
    path: data/train_175-*
  - split: train_176
    path: data/train_176-*
  - split: train_177
    path: data/train_177-*
  - split: train_178
    path: data/train_178-*
  - split: train_final
    path: data/train_final-*
---