File size: 16,711 Bytes
431e18c ed847b4 aa5ef4a 35e9156 50c794e 35e9156 ed847b4 1b33219 ed847b4 1b33219 ed847b4 35e9156 50c794e ec1654a 50c794e ec1654a 3a84779 50c794e 431e18c 2e41d36 431e18c 7022b71 431e18c aa5ef4a 431e18c aa5ef4a 431e18c 498aa8a 431e18c 498aa8a 431e18c 05042a5 2e41d36 05042a5 2e41d36 05042a5 2e41d36 05042a5 ed847b4 2e41d36 aa5ef4a 431e18c 05042a5 431e18c 498aa8a 431e18c 2e41d36 431e18c 498aa8a 431e18c 498aa8a 431e18c 2e41d36 431e18c 2e41d36 ed847b4 431e18c 2e41d36 ed847b4 2e41d36 ed847b4 9c103e1 431e18c 2e41d36 431e18c 9c103e1 431e18c 2e41d36 431e18c 9c103e1 431e18c 2e41d36 9c103e1 2e41d36 9c103e1 2e41d36 9c103e1 431e18c 498aa8a 431e18c 2e41d36 431e18c 2e41d36 431e18c aa5ef4a 431e18c 2e41d36 ed847b4 2e41d36 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c aa5ef4a 431e18c 498aa8a 431e18c aa5ef4a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 498aa8a 431e18c 2e41d36 431e18c 498aa8a 431e18c 2e41d36 431e18c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 |
---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
pretty_name: Wikipedia
paperswithcode_id: null
license:
- cc-by-sa-3.0
- gfdl
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
source_datasets:
- original
multilinguality:
- multilingual
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
- 1M<n<10M
language:
- aa
- ab
- ace
- af
- ak
- als
- am
- an
- ang
- ar
- arc
- arz
- as
- ast
- atj
- av
- ay
- az
- azb
- ba
- bar
- bcl
- be
- bg
- bh
- bi
- bjn
- bm
- bn
- bo
- bpy
- br
- bs
- bug
- bxr
- ca
- cbk
- cdo
- ce
- ceb
- ch
- cho
- chr
- chy
- ckb
- co
- cr
- crh
- cs
- csb
- cu
- cv
- cy
- da
- de
- din
- diq
- dsb
- dty
- dv
- dz
- ee
- el
- eml
- en
- eo
- es
- et
- eu
- ext
- fa
- ff
- fi
- fj
- fo
- fr
- frp
- frr
- fur
- fy
- ga
- gag
- gan
- gd
- gl
- glk
- gn
- gom
- gor
- got
- gu
- gv
- ha
- hak
- haw
- he
- hi
- hif
- ho
- hr
- hsb
- ht
- hu
- hy
- ia
- id
- ie
- ig
- ii
- ik
- ilo
- inh
- io
- is
- it
- iu
- ja
- jam
- jbo
- jv
- ka
- kaa
- kab
- kbd
- kbp
- kg
- ki
- kj
- kk
- kl
- km
- kn
- ko
- koi
- krc
- ks
- ksh
- ku
- kv
- kw
- ky
- la
- lad
- lb
- lbe
- lez
- lfn
- lg
- li
- lij
- lmo
- ln
- lo
- lrc
- lt
- ltg
- lv
- lzh
- mai
- mdf
- mg
- mh
- mhr
- mi
- min
- mk
- ml
- mn
- mr
- mrj
- ms
- mt
- mus
- mwl
- my
- myv
- mzn
- na
- nah
- nan
- nap
- nds
- ne
- new
- ng
- nl
- nn
- 'no'
- nov
- nrf
- nso
- nv
- ny
- oc
- olo
- om
- or
- os
- pa
- pag
- pam
- pap
- pcd
- pdc
- pfl
- pi
- pih
- pl
- pms
- pnb
- pnt
- ps
- pt
- qu
- rm
- rmy
- rn
- ro
- ru
- rue
- rup
- rw
- sa
- sah
- sat
- sc
- scn
- sco
- sd
- se
- sg
- sgs
- sh
- si
- sk
- sl
- sm
- sn
- so
- sq
- sr
- srn
- ss
- st
- stq
- su
- sv
- sw
- szl
- ta
- tcy
- tdt
- te
- tg
- th
- ti
- tk
- tl
- tn
- to
- tpi
- tr
- ts
- tt
- tum
- tw
- ty
- tyv
- udm
- ug
- uk
- ur
- uz
- ve
- vec
- vep
- vi
- vls
- vo
- vro
- wa
- war
- wo
- wuu
- xal
- xh
- xmf
- yi
- yo
- yue
- za
- zea
- zh
- zu
language_bcp47:
- nds-nl
dataset_info:
- config_name: 20220301.de
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 8905282792
num_examples: 2665357
download_size: 6523215105
dataset_size: 8905282792
- config_name: 20220301.en
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 20275516160
num_examples: 6458670
download_size: 20598313936
dataset_size: 20275516160
- config_name: 20220301.fr
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 7375920768
num_examples: 2402095
download_size: 5602565274
dataset_size: 7375920768
- config_name: 20220301.frr
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 9129760
num_examples: 15199
download_size: 12438017
dataset_size: 9129760
- config_name: 20220301.it
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4539944448
num_examples: 1743035
download_size: 3516441239
dataset_size: 4539944448
- config_name: 20220301.simple
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 235072360
num_examples: 205328
download_size: 239682796
dataset_size: 235072360
config_names:
- 20220301.aa
- 20220301.ab
- 20220301.ace
- 20220301.ady
- 20220301.af
- 20220301.ak
- 20220301.als
- 20220301.am
- 20220301.an
- 20220301.ang
- 20220301.ar
- 20220301.arc
- 20220301.arz
- 20220301.as
- 20220301.ast
- 20220301.atj
- 20220301.av
- 20220301.ay
- 20220301.az
- 20220301.azb
- 20220301.ba
- 20220301.bar
- 20220301.bat-smg
- 20220301.bcl
- 20220301.be
- 20220301.be-x-old
- 20220301.bg
- 20220301.bh
- 20220301.bi
- 20220301.bjn
- 20220301.bm
- 20220301.bn
- 20220301.bo
- 20220301.bpy
- 20220301.br
- 20220301.bs
- 20220301.bug
- 20220301.bxr
- 20220301.ca
- 20220301.cbk-zam
- 20220301.cdo
- 20220301.ce
- 20220301.ceb
- 20220301.ch
- 20220301.cho
- 20220301.chr
- 20220301.chy
- 20220301.ckb
- 20220301.co
- 20220301.cr
- 20220301.crh
- 20220301.cs
- 20220301.csb
- 20220301.cu
- 20220301.cv
- 20220301.cy
- 20220301.da
- 20220301.de
- 20220301.din
- 20220301.diq
- 20220301.dsb
- 20220301.dty
- 20220301.dv
- 20220301.dz
- 20220301.ee
- 20220301.el
- 20220301.eml
- 20220301.en
- 20220301.eo
- 20220301.es
- 20220301.et
- 20220301.eu
- 20220301.ext
- 20220301.fa
- 20220301.ff
- 20220301.fi
- 20220301.fiu-vro
- 20220301.fj
- 20220301.fo
- 20220301.fr
- 20220301.frp
- 20220301.frr
- 20220301.fur
- 20220301.fy
- 20220301.ga
- 20220301.gag
- 20220301.gan
- 20220301.gd
- 20220301.gl
- 20220301.glk
- 20220301.gn
- 20220301.gom
- 20220301.gor
- 20220301.got
- 20220301.gu
- 20220301.gv
- 20220301.ha
- 20220301.hak
- 20220301.haw
- 20220301.he
- 20220301.hi
- 20220301.hif
- 20220301.ho
- 20220301.hr
- 20220301.hsb
- 20220301.ht
- 20220301.hu
- 20220301.hy
- 20220301.ia
- 20220301.id
- 20220301.ie
- 20220301.ig
- 20220301.ii
- 20220301.ik
- 20220301.ilo
- 20220301.inh
- 20220301.io
- 20220301.is
- 20220301.it
- 20220301.iu
- 20220301.ja
- 20220301.jam
- 20220301.jbo
- 20220301.jv
- 20220301.ka
- 20220301.kaa
- 20220301.kab
- 20220301.kbd
- 20220301.kbp
- 20220301.kg
- 20220301.ki
- 20220301.kj
- 20220301.kk
- 20220301.kl
- 20220301.km
- 20220301.kn
- 20220301.ko
- 20220301.koi
- 20220301.krc
- 20220301.ks
- 20220301.ksh
- 20220301.ku
- 20220301.kv
- 20220301.kw
- 20220301.ky
- 20220301.la
- 20220301.lad
- 20220301.lb
- 20220301.lbe
- 20220301.lez
- 20220301.lfn
- 20220301.lg
- 20220301.li
- 20220301.lij
- 20220301.lmo
- 20220301.ln
- 20220301.lo
- 20220301.lrc
- 20220301.lt
- 20220301.ltg
- 20220301.lv
- 20220301.mai
- 20220301.map-bms
- 20220301.mdf
- 20220301.mg
- 20220301.mh
- 20220301.mhr
- 20220301.mi
- 20220301.min
- 20220301.mk
- 20220301.ml
- 20220301.mn
- 20220301.mr
- 20220301.mrj
- 20220301.ms
- 20220301.mt
- 20220301.mus
- 20220301.mwl
- 20220301.my
- 20220301.myv
- 20220301.mzn
- 20220301.na
- 20220301.nah
- 20220301.nap
- 20220301.nds
- 20220301.nds-nl
- 20220301.ne
- 20220301.new
- 20220301.ng
- 20220301.nl
- 20220301.nn
- 20220301.no
- 20220301.nov
- 20220301.nrm
- 20220301.nso
- 20220301.nv
- 20220301.ny
- 20220301.oc
- 20220301.olo
- 20220301.om
- 20220301.or
- 20220301.os
- 20220301.pa
- 20220301.pag
- 20220301.pam
- 20220301.pap
- 20220301.pcd
- 20220301.pdc
- 20220301.pfl
- 20220301.pi
- 20220301.pih
- 20220301.pl
- 20220301.pms
- 20220301.pnb
- 20220301.pnt
- 20220301.ps
- 20220301.pt
- 20220301.qu
- 20220301.rm
- 20220301.rmy
- 20220301.rn
- 20220301.ro
- 20220301.roa-rup
- 20220301.roa-tara
- 20220301.ru
- 20220301.rue
- 20220301.rw
- 20220301.sa
- 20220301.sah
- 20220301.sat
- 20220301.sc
- 20220301.scn
- 20220301.sco
- 20220301.sd
- 20220301.se
- 20220301.sg
- 20220301.sh
- 20220301.si
- 20220301.simple
- 20220301.sk
- 20220301.sl
- 20220301.sm
- 20220301.sn
- 20220301.so
- 20220301.sq
- 20220301.sr
- 20220301.srn
- 20220301.ss
- 20220301.st
- 20220301.stq
- 20220301.su
- 20220301.sv
- 20220301.sw
- 20220301.szl
- 20220301.ta
- 20220301.tcy
- 20220301.te
- 20220301.tet
- 20220301.tg
- 20220301.th
- 20220301.ti
- 20220301.tk
- 20220301.tl
- 20220301.tn
- 20220301.to
- 20220301.tpi
- 20220301.tr
- 20220301.ts
- 20220301.tt
- 20220301.tum
- 20220301.tw
- 20220301.ty
- 20220301.tyv
- 20220301.udm
- 20220301.ug
- 20220301.uk
- 20220301.ur
- 20220301.uz
- 20220301.ve
- 20220301.vec
- 20220301.vep
- 20220301.vi
- 20220301.vls
- 20220301.vo
- 20220301.wa
- 20220301.war
- 20220301.wo
- 20220301.wuu
- 20220301.xal
- 20220301.xh
- 20220301.xmf
- 20220301.yi
- 20220301.yo
- 20220301.za
- 20220301.zea
- 20220301.zh
- 20220301.zh-classical
- 20220301.zh-min-nan
- 20220301.zh-yue
- 20220301.zu
---
# Dataset Card for Wikipedia
<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
<p><b>Deprecated:</b> Dataset "wikipedia" is deprecated and will soon be deleted. Use the <a href="https://huggingface.co/wikimedia/wikipedia">wikimedia/wikipedia</a> dataset instead.</p>
</div>
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://dumps.wikimedia.org](https://dumps.wikimedia.org)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Dataset Summary
Wikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.).
The articles are parsed using the ``mwparserfromhell`` tool.
To load this dataset you need to install Apache Beam and ``mwparserfromhell`` first:
```
pip install apache_beam mwparserfromhell
```
Then, you can load any subset of Wikipedia per language and per date this way:
```python
from datasets import load_dataset
load_dataset("wikipedia", language="sw", date="20220120", beam_runner=...)
```
where you can pass as `beam_runner` any Apache Beam supported runner for (distributed) data processing
(see [here](https://beam.apache.org/documentation/runners/capability-matrix/)).
Pass "DirectRunner" to run it on your machine.
You can find the full list of languages and dates [here](https://dumps.wikimedia.org/backup-index.html).
Some subsets of Wikipedia have already been processed by HuggingFace, and you can load them just with:
```python
from datasets import load_dataset
load_dataset("wikipedia", "20220301.en")
```
The list of pre-processed subsets is:
- "20220301.de"
- "20220301.en"
- "20220301.fr"
- "20220301.frr"
- "20220301.it"
- "20220301.simple"
### Supported Tasks and Leaderboards
The dataset is generally used for Language Modeling.
### Languages
You can find the list of languages [here](https://meta.wikimedia.org/wiki/List_of_Wikipedias).
## Dataset Structure
### Data Instances
An example looks as follows:
```
{'id': '1',
'url': 'https://simple.wikipedia.org/wiki/April',
'title': 'April',
'text': 'April is the fourth month...'
}
```
Some subsets of Wikipedia have already been processed by HuggingFace, as you can see below:
#### 20220301.de
- **Size of downloaded dataset files:** 6.84 GB
- **Size of the generated dataset:** 9.34 GB
- **Total amount of disk used:** 16.18 GB
#### 20220301.en
- **Size of downloaded dataset files:** 21.60 GB
- **Size of the generated dataset:** 21.26 GB
- **Total amount of disk used:** 42.86 GB
#### 20220301.fr
- **Size of downloaded dataset files:** 5.87 GB
- **Size of the generated dataset:** 7.73 GB
- **Total amount of disk used:** 13.61 GB
#### 20220301.frr
- **Size of downloaded dataset files:** 13.04 MB
- **Size of the generated dataset:** 9.57 MB
- **Total amount of disk used:** 22.62 MB
#### 20220301.it
- **Size of downloaded dataset files:** 3.69 GB
- **Size of the generated dataset:** 4.76 GB
- **Total amount of disk used:** 8.45 GB
#### 20220301.simple
- **Size of downloaded dataset files:** 251.32 MB
- **Size of the generated dataset:** 246.49 MB
- **Total amount of disk used:** 497.82 MB
### Data Fields
The data fields are the same among all configurations:
- `id` (`str`): ID of the article.
- `url` (`str`): URL of the article.
- `title` (`str`): Title of the article.
- `text` (`str`): Text content of the article.
### Data Splits
Here are the number of examples for several configurations:
| name | train |
|-----------------|--------:|
| 20220301.de | 2665357 |
| 20220301.en | 6458670 |
| 20220301.fr | 2402095 |
| 20220301.frr | 15199 |
| 20220301.it | 1743035 |
| 20220301.simple | 205328 |
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Licensing Information
Most of Wikipedia's text and many of its images are co-licensed under the
[Creative Commons Attribution-ShareAlike 3.0 Unported License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License)
(CC BY-SA) and the [GNU Free Documentation License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License)
(GFDL) (unversioned, with no invariant sections, front-cover texts, or back-cover texts).
Some text has been imported only under CC BY-SA and CC BY-SA-compatible license and cannot be reused under GFDL; such
text will be identified on the page footer, in the page history, or on the discussion page of the article that utilizes
the text.
### Citation Information
```
@ONLINE{wikidump,
author = "Wikimedia Foundation",
title = "Wikimedia Downloads",
url = "https://dumps.wikimedia.org"
}
```
### Contributions
Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |