File size: 14,169 Bytes
8c113d2
 
 
 
 
 
 
 
 
 
 
 
 
365dbc4
 
 
cefb2e3
 
 
a94ba41
 
 
b97c81d
 
 
dac7a2b
 
 
c6e9544
 
 
d01b7d1
 
 
e6d9a45
 
 
dcadc3c
 
 
f9bd46f
 
 
a6673f9
 
 
8de808c
 
 
a44ae99
 
 
b4f8c35
 
 
36b310e
 
 
c67c578
 
 
7bae0e5
 
 
0e02b13
 
 
f12e968
 
 
059edfd
 
 
94e84b1
 
 
682a085
 
 
a767b34
 
 
0e62e92
 
 
225d127
 
 
835f1aa
 
 
65d6d08
 
 
619f4bf
 
 
88d5e78
 
 
09fe92f
 
 
51b42bf
 
 
60949c8
 
 
bebba29
 
 
d171be6
 
 
d9f6dd9
 
 
808b6d2
 
 
634d587
 
 
bb0120e
 
 
b994d5c
 
 
e7b76e9
 
 
31ae250
 
 
031c4ed
 
 
04f3236
 
 
5a65ed5
 
 
9217090
 
 
3ced9f3
 
 
6e7996c
 
 
277ad0f
 
 
f6d7b41
 
 
d397362
 
 
43ea083
 
 
fc7b1e1
 
 
a36fd63
 
 
31f3836
 
 
ab6e9bd
 
 
12dc457
 
 
06cfc3c
 
 
2c51dc2
 
 
e228631
 
 
6c55c13
 
 
ac9f49d
 
 
1377993
 
 
b9d9f93
 
 
5403383
 
 
e2a9582
 
 
18e5839
 
 
81d013f
 
 
32832b4
 
 
33f9805
 
 
064268c
 
 
975da34
 
 
14b0410
 
 
063a6e6
 
 
69c9a55
 
 
45673a0
 
 
11c9bf2
 
 
64819b4
 
 
4fc3a76
 
 
26ea527
 
 
5417c84
 
 
d3fd7ee
 
 
f2d10e8
 
 
656932e
 
 
1bbafab
 
 
87829ef
 
 
ad88cc6
 
 
c3105c7
 
 
b732d60
 
 
7150deb
 
 
a06ef2b
 
 
525a9b4
 
 
9d56aaa
 
 
1fe893e
 
 
da39f6b
 
 
f9a5996
 
 
f96f17c
 
 
6396cce
 
 
aaec04c
 
 
e4e4fc8
 
 
e6f1a8d
 
 
7bbc5c1
 
 
ed6a58b
 
 
3436416
 
 
a6c055f
 
 
064c1d8
 
 
26d601c
 
 
ba71913
 
 
698bde0
 
 
4747e76
 
 
1482f3e
 
 
7f7ce95
 
 
00716ef
 
 
88275dd
 
 
5df5aa5
 
 
e22fccb
 
 
17fc5ba
 
 
f8f709c
 
 
0568da8
 
 
f3c91a1
 
 
b283e9f
 
 
cdb1b8e
 
 
5a93622
 
 
f697ab0
 
 
 
 
8c113d2
 
 
 
 
365dbc4
 
cefb2e3
 
a94ba41
 
b97c81d
 
dac7a2b
 
c6e9544
 
d01b7d1
 
e6d9a45
 
dcadc3c
 
f9bd46f
 
a6673f9
 
8de808c
 
a44ae99
 
b4f8c35
 
36b310e
 
c67c578
 
7bae0e5
 
0e02b13
 
f12e968
 
059edfd
 
94e84b1
 
682a085
 
a767b34
 
0e62e92
 
225d127
 
835f1aa
 
65d6d08
 
619f4bf
 
88d5e78
 
09fe92f
 
51b42bf
 
60949c8
 
bebba29
 
d171be6
 
d9f6dd9
 
808b6d2
 
634d587
 
bb0120e
 
b994d5c
 
e7b76e9
 
31ae250
 
031c4ed
 
04f3236
 
5a65ed5
 
9217090
 
3ced9f3
 
6e7996c
 
277ad0f
 
f6d7b41
 
d397362
 
43ea083
 
fc7b1e1
 
a36fd63
 
31f3836
 
ab6e9bd
 
12dc457
 
06cfc3c
 
2c51dc2
 
e228631
 
6c55c13
 
ac9f49d
 
1377993
 
b9d9f93
 
5403383
 
e2a9582
 
18e5839
 
81d013f
 
32832b4
 
33f9805
 
064268c
 
975da34
 
14b0410
 
063a6e6
 
69c9a55
 
45673a0
 
11c9bf2
 
64819b4
 
4fc3a76
 
26ea527
 
5417c84
 
d3fd7ee
 
f2d10e8
 
656932e
 
1bbafab
 
87829ef
 
ad88cc6
 
c3105c7
 
b732d60
 
7150deb
 
a06ef2b
 
525a9b4
 
9d56aaa
 
1fe893e
 
da39f6b
 
f9a5996
 
f96f17c
 
6396cce
 
aaec04c
 
e4e4fc8
 
e6f1a8d
 
7bbc5c1
 
ed6a58b
 
3436416
 
a6c055f
 
064c1d8
 
26d601c
 
ba71913
 
698bde0
 
4747e76
 
1482f3e
 
7f7ce95
 
00716ef
 
88275dd
 
5df5aa5
 
e22fccb
 
17fc5ba
 
f8f709c
 
0568da8
 
f3c91a1
 
b283e9f
 
cdb1b8e
 
5a93622
 
f697ab0
 
8c113d2
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
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: content
    dtype: string
  - name: metadata
    dtype: string
  splits:
  - name: train_0
    num_bytes: 43196261
    num_examples: 5000
  - name: train_1
    num_bytes: 25926165
    num_examples: 5000
  - name: train_2
    num_bytes: 20506817
    num_examples: 5000
  - name: train_3
    num_bytes: 21631139
    num_examples: 5000
  - name: train_4
    num_bytes: 22548269
    num_examples: 5000
  - name: train_5
    num_bytes: 23540530
    num_examples: 5000
  - name: train_6
    num_bytes: 23682713
    num_examples: 5000
  - name: train_7
    num_bytes: 23784025
    num_examples: 5000
  - name: train_8
    num_bytes: 11093327
    num_examples: 2500
  - name: train_9
    num_bytes: 11454942
    num_examples: 2500
  - name: train_10
    num_bytes: 11516548
    num_examples: 2500
  - name: train_11
    num_bytes: 12023982
    num_examples: 2500
  - name: train_12
    num_bytes: 11618803
    num_examples: 2500
  - name: train_13
    num_bytes: 12063910
    num_examples: 2500
  - name: train_14
    num_bytes: 12147655
    num_examples: 2500
  - name: train_15
    num_bytes: 11636370
    num_examples: 2500
  - name: train_16
    num_bytes: 11172287
    num_examples: 2500
  - name: train_17
    num_bytes: 11737395
    num_examples: 2500
  - name: train_18
    num_bytes: 11670770
    num_examples: 2500
  - name: train_19
    num_bytes: 11470779
    num_examples: 2500
  - name: train_20
    num_bytes: 11325894
    num_examples: 2500
  - name: train_21
    num_bytes: 11512222
    num_examples: 2500
  - name: train_22
    num_bytes: 11689564
    num_examples: 2500
  - name: train_23
    num_bytes: 11721752
    num_examples: 2500
  - name: train_24
    num_bytes: 11695539
    num_examples: 2500
  - name: train_25
    num_bytes: 11846093
    num_examples: 2500
  - name: train_26
    num_bytes: 11604467
    num_examples: 2500
  - name: train_27
    num_bytes: 11753765
    num_examples: 2500
  - name: train_28
    num_bytes: 10511990
    num_examples: 2500
  - name: train_29
    num_bytes: 10696791
    num_examples: 2500
  - name: train_30
    num_bytes: 9216821
    num_examples: 2500
  - name: train_31
    num_bytes: 9419367
    num_examples: 2500
  - name: train_32
    num_bytes: 9680568
    num_examples: 2500
  - name: train_33
    num_bytes: 9363606
    num_examples: 2500
  - name: train_34
    num_bytes: 9404661
    num_examples: 2500
  - name: train_35
    num_bytes: 9765619
    num_examples: 2500
  - name: train_36
    num_bytes: 9542218
    num_examples: 2500
  - name: train_37
    num_bytes: 10840380
    num_examples: 2500
  - name: train_38
    num_bytes: 9695147
    num_examples: 2500
  - name: train_39
    num_bytes: 14887035
    num_examples: 2500
  - name: train_40
    num_bytes: 26198561
    num_examples: 2500
  - name: train_41
    num_bytes: 28798861
    num_examples: 2500
  - name: train_42
    num_bytes: 28294356
    num_examples: 2500
  - name: train_43
    num_bytes: 28382366
    num_examples: 2500
  - name: train_44
    num_bytes: 29933761
    num_examples: 2500
  - name: train_45
    num_bytes: 28409538
    num_examples: 2500
  - name: train_46
    num_bytes: 31378327
    num_examples: 2500
  - name: train_47
    num_bytes: 30931091
    num_examples: 2500
  - name: train_48
    num_bytes: 31740359
    num_examples: 2500
  - name: train_49
    num_bytes: 33132217
    num_examples: 2500
  - name: train_50
    num_bytes: 35200678
    num_examples: 2500
  - name: train_51
    num_bytes: 37505621
    num_examples: 2500
  - name: train_52
    num_bytes: 34891435
    num_examples: 2500
  - name: train_53
    num_bytes: 38574419
    num_examples: 2500
  - name: train_54
    num_bytes: 40198390
    num_examples: 2500
  - name: train_55
    num_bytes: 41948662
    num_examples: 2500
  - name: train_56
    num_bytes: 39185865
    num_examples: 2500
  - name: train_57
    num_bytes: 46301058
    num_examples: 2500
  - name: train_58
    num_bytes: 50404522
    num_examples: 2500
  - name: train_59
    num_bytes: 43253502
    num_examples: 2500
  - name: train_60
    num_bytes: 29660123
    num_examples: 2500
  - name: train_61
    num_bytes: 14672055
    num_examples: 2500
  - name: train_62
    num_bytes: 14492122
    num_examples: 2500
  - name: train_63
    num_bytes: 14512889
    num_examples: 2500
  - name: train_64
    num_bytes: 14758544
    num_examples: 2500
  - name: train_65
    num_bytes: 16004371
    num_examples: 2500
  - name: train_66
    num_bytes: 14600051
    num_examples: 2500
  - name: train_67
    num_bytes: 15320234
    num_examples: 2500
  - name: train_68
    num_bytes: 16524817
    num_examples: 2500
  - name: train_69
    num_bytes: 17210966
    num_examples: 2500
  - name: train_70
    num_bytes: 17374503
    num_examples: 2500
  - name: train_71
    num_bytes: 14979214
    num_examples: 2500
  - name: train_72
    num_bytes: 14214181
    num_examples: 2500
  - name: train_73
    num_bytes: 14806288
    num_examples: 2500
  - name: train_74
    num_bytes: 19069389
    num_examples: 2500
  - name: train_75
    num_bytes: 39576603
    num_examples: 2500
  - name: train_76
    num_bytes: 43442474
    num_examples: 2500
  - name: train_77
    num_bytes: 47871671
    num_examples: 2500
  - name: train_78
    num_bytes: 55592888
    num_examples: 2500
  - name: train_79
    num_bytes: 62140914
    num_examples: 2500
  - name: train_80
    num_bytes: 24455892
    num_examples: 2500
  - name: train_81
    num_bytes: 15190359
    num_examples: 2500
  - name: train_82
    num_bytes: 15407826
    num_examples: 2500
  - name: train_83
    num_bytes: 14721775
    num_examples: 2500
  - name: train_84
    num_bytes: 15779948
    num_examples: 2500
  - name: train_85
    num_bytes: 15414669
    num_examples: 2500
  - name: train_86
    num_bytes: 15989734
    num_examples: 2500
  - name: train_87
    num_bytes: 15765941
    num_examples: 2500
  - name: train_88
    num_bytes: 15988896
    num_examples: 2500
  - name: train_89
    num_bytes: 16040550
    num_examples: 2500
  - name: train_90
    num_bytes: 16749488
    num_examples: 2500
  - name: train_91
    num_bytes: 16605720
    num_examples: 2500
  - name: train_92
    num_bytes: 17846116
    num_examples: 2500
  - name: train_93
    num_bytes: 18283498
    num_examples: 2500
  - name: train_94
    num_bytes: 16168847
    num_examples: 2500
  - name: train_95
    num_bytes: 19105228
    num_examples: 2500
  - name: train_96
    num_bytes: 20628199
    num_examples: 2500
  - name: train_97
    num_bytes: 22393838
    num_examples: 2500
  - name: train_98
    num_bytes: 18647151
    num_examples: 2500
  - name: train_99
    num_bytes: 24235736
    num_examples: 2500
  - name: train_100
    num_bytes: 24799204
    num_examples: 2500
  - name: train_101
    num_bytes: 24912716
    num_examples: 2500
  - name: train_102
    num_bytes: 23345066
    num_examples: 2500
  - name: train_103
    num_bytes: 24666948
    num_examples: 2500
  - name: train_104
    num_bytes: 26199641
    num_examples: 2500
  - name: train_105
    num_bytes: 27907360
    num_examples: 2500
  - name: train_106
    num_bytes: 30220520
    num_examples: 2500
  - name: train_107
    num_bytes: 32848107
    num_examples: 2500
  - name: train_108
    num_bytes: 29173181
    num_examples: 2500
  - name: train_109
    num_bytes: 19916501
    num_examples: 2500
  - name: train_110
    num_bytes: 20038820
    num_examples: 2500
  - name: train_111
    num_bytes: 9963834
    num_examples: 2500
  - name: train_112
    num_bytes: 10550538
    num_examples: 2500
  - name: train_113
    num_bytes: 10573998
    num_examples: 2500
  - name: train_114
    num_bytes: 11429987
    num_examples: 2500
  - name: train_115
    num_bytes: 11786374
    num_examples: 2500
  - name: train_116
    num_bytes: 12018519
    num_examples: 2500
  - name: train_117
    num_bytes: 12481869
    num_examples: 2500
  - name: train_118
    num_bytes: 12174876
    num_examples: 2500
  - name: train_119
    num_bytes: 12391172
    num_examples: 2500
  - name: train_120
    num_bytes: 12310060
    num_examples: 2500
  - name: train_121
    num_bytes: 12364936
    num_examples: 2500
  - name: train_122
    num_bytes: 12204921
    num_examples: 2500
  - name: train_123
    num_bytes: 11181458
    num_examples: 2500
  download_size: 941539313
  dataset_size: 2552964089
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-*
---