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-*
---
|