Datasets:
File size: 22,506 Bytes
8e7f0d8 07363c2 7282db4 07363c2 7282db4 8e7f0d8 7282db4 8e7f0d8 1dd166b 44e9c57 15cec6a cd8cb2d dcc50d1 eea6a4a dcc50d1 eea6a4a dcc50d1 c32dce6 dcc50d1 c32dce6 dcc50d1 0f69407 dcc50d1 0f69407 dcc50d1 0b65f1e dcc50d1 0b65f1e dcc50d1 cd8cb2d dcc50d1 cd8cb2d dcc50d1 ddc5b3a dcc50d1 ddc5b3a dcc50d1 2355ac8 dcc50d1 2355ac8 dcc50d1 9bc9978 dcc50d1 9bc9978 dcc50d1 388dd02 dcc50d1 388dd02 dcc50d1 cd8cb2d eea6a4a c32dce6 0f69407 0b65f1e cd8cb2d ddc5b3a 2355ac8 9bc9978 388dd02 8e7f0d8 7f98913 8e7f0d8 44e9c57 8e7f0d8 44e9c57 8e7f0d8 c513d83 8e7f0d8 700647c 8e7f0d8 7f98913 8e7f0d8 7f98913 8e7f0d8 7f98913 700647c 7f98913 c513d83 dcc50d1 |
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 |
---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
- cs
- de
- en
- es
- fr
- hi
- id
- it
- ja
- ko
- nl
- pt
- ru
- th
- tr
- vi
- zh
license:
- cc-by-3.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
- 1K<n<10K
source_datasets:
- original
task_categories:
- summarization
task_ids: []
paperswithcode_id: wikilingua
pretty_name: WikiLingua
config_names:
- arabic
- chinese
- czech
- dutch
- english
- french
- german
- hindi
- indonesian
- italian
- japanese
- korean
- portuguese
- russian
- spanish
- thai
- turkish
- vietnamese
dataset_info:
- config_name: arabic
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 119116075
num_examples: 9995
download_size: 55808460
dataset_size: 119116075
- config_name: chinese
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 41170645
num_examples: 6541
download_size: 25187026
dataset_size: 41170645
- config_name: czech
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 20816346
num_examples: 2520
download_size: 12480761
dataset_size: 20816346
- config_name: dutch
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 87257952
num_examples: 10862
download_size: 47651076
dataset_size: 87257952
- config_name: english
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 333699946
num_examples: 57945
download_size: 187189233
dataset_size: 333699946
- config_name: french
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 197550244
num_examples: 21690
download_size: 105158840
dataset_size: 197550244
- config_name: german
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 168674208
num_examples: 20103
download_size: 93078076
dataset_size: 168674208
- config_name: hindi
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 63785007
num_examples: 3402
download_size: 22774620
dataset_size: 63785007
- config_name: indonesian
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 136408773
num_examples: 16308
download_size: 67658970
dataset_size: 136408773
- config_name: italian
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 138119527
num_examples: 17673
download_size: 138578956
dataset_size: 138119527
- config_name: japanese
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 40145031
num_examples: 4372
download_size: 40259570
dataset_size: 40145031
- config_name: korean
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 38647614
num_examples: 4111
download_size: 38748961
dataset_size: 38647614
- config_name: portuguese
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 204270845
num_examples: 28143
download_size: 204997686
dataset_size: 204270845
- config_name: russian
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 241924032
num_examples: 18143
download_size: 242377242
dataset_size: 241924032
- config_name: spanish
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 314618618
num_examples: 38795
download_size: 315609530
dataset_size: 314618618
- config_name: thai
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 86982851
num_examples: 5093
download_size: 87104200
dataset_size: 86982851
- config_name: turkish
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 11371821
num_examples: 1512
download_size: 11405793
dataset_size: 11371821
- config_name: vietnamese
features:
- name: url
dtype: string
- name: article
sequence:
- name: section_name
dtype: string
- name: document
dtype: string
- name: summary
dtype: string
- name: english_url
dtype: string
- name: english_section_name
dtype: string
splits:
- name: train
num_bytes: 69868788
num_examples: 6616
download_size: 70024093
dataset_size: 69868788
configs:
- config_name: arabic
data_files:
- split: train
path: arabic/train-*
- config_name: chinese
data_files:
- split: train
path: chinese/train-*
- config_name: czech
data_files:
- split: train
path: czech/train-*
- config_name: dutch
data_files:
- split: train
path: dutch/train-*
- config_name: english
data_files:
- split: train
path: english/train-*
default: true
- config_name: french
data_files:
- split: train
path: french/train-*
- config_name: german
data_files:
- split: train
path: german/train-*
- config_name: hindi
data_files:
- split: train
path: hindi/train-*
- config_name: indonesian
data_files:
- split: train
path: indonesian/train-*
---
# Dataset Card for "wiki_lingua"
## 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
- **Repository:** [URL](https://github.com/esdurmus/Wikilingua)
- **Paper:** [WikiLingua: A Multilingual Abstractive Summarization Dataset](https://arxiv.org/abs/2010.03093)
### Dataset Summary
We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of cross-lingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow, a high quality, collaborative resource of how-to guides on a diverse set of topics written by human authors. We create gold-standard article-summary alignments across languages by aligning the images that are used to describe each how-to step in an article.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
The table below shows number of article-summary pairs with a parallel article-summary pair in English.
______________________________
| Language | Num. parallel |
| ----------- | --------------|
| English | 141,457 |
| Spanish | 113,215 |
| Portuguese | 81,695 |
| French | 63,692 |
| German | 58,375 |
| Russian | 52,928 |
| Italian | 50,968 |
| Indonesian | 47,511 |
| Dutch | 31,270 |
| Arabic | 29,229 |
| Vietnamese | 19,600 |
| Chinese | 18,887 |
| Thai | 14,770 |
| Japanese | 12,669 |
| Korean | 12,189 |
| Hindi | 9,929 |
| Czech | 7,200 |
| Turkish | 4,503 |
## Dataset Structure
### Data Instances
```
{
'article': {
'document': ['make sure that the area is a safe place, especially if you plan on walking home at night. It’s always a good idea to practice the buddy system. Have a friend meet up and walk with you. Research the bus, train, or streetcar routes available in your area to find safe and affordable travel to your destination. Make sure you check the schedule for your outgoing and return travel. Some public transportation will cease to run late at night. Be sure if you take public transportation to the venue that you will also be able to get home late at night. Check the routes. Even if some public transit is still running late at night, the routing may change. Some may run express past many of the stops, or not travel all the way to the ends. Be sure that your stop will still be available when you need it for your return trip. If you are taking public transit in a vulnerable state after drinking, it is always a good idea to travel in groups. Having friends available is a good way to stay safe and make sure that you reach your destination. This is more expensive option than a taxi or ride share service, but could be a fun and fancy way to stay safe and ensure that you will have a ride home. Plan this service in advance with a scheduled time to pick you up from your home and the venue. You want to be sure that the service will still be available when you need to get home. This may be easy in a large city, but taxis may be less frequent in smaller towns. This is especially true late at night, so this is a less reliable option than scheduling a ride in advance. Have a friend accompany you and help you flag a cab to make sure you are able to get one. Set up a plan to call a friend when you get home to make sure that you made it safely to your destination. If there are no taxis readily available call a local service to send a car to pick you up. You can share a ride with your friends, or other people using the app at the same moment. If you are in a vulnerable state it is best to share the ride with your friends to make sure you get home safe. You can request the car to yourself rather than sharing rides with strangers. If you travel home on your own or are the last of your group to be dropped off, make plans to call a friend when you get home so they know you made it safely to your destination. There may be a designated driver service in your area which can chauffeur your group. Make reservations with them in advance and keep their contact information handy while you are drinking.',
"Designating a driver is a very popular tactic to avoid drinking and driving. It is important to plan in advance, because your brain function will slow down and your decision making skills will be impaired once you start drinking. Decide before you begin drinking that you will not drive. Figure out who will be getting you home before you leave. Make sure this person is responsible and keep them in your sight while you are drinking. Have their contact information handy in case you can’t find them when you are ready to leave. Choose a friend who doesn’t drink alcohol. You likely have someone in your friend group who doesn’t drink. This person is the most likely to remain sober. Decide on one person who will remain sober. You can take turns within your friend group, alternating who will be the designated driver on each occasion. Be sure that the designated driver actually remains sober. The person who has drank the least is still not sober. If you don’t have your car with you, you can guarantee that you won’t make the choice to drive it home. If you are drinking at your home. Give your keys to a responsible friend to ensure that you don't choose to drive somewhere after you have been drinking. It may be tempting to stay longer or leave with someone else. Stick to the plan you made in advance and only leave with your sober, designated driver. Keep the phone number of your driver handy in case you can't find them when you are ready to leave. If your designated driver drinks alcohol, find alternate transportation to get home.",
'If you have been drinking at all you are at least on the spectrum of drunkenness. You could be showing signs of impairment and slower brain function including lack of motor skills and slower reaction time, leading to the inability to operate a motor vehicle. Some of these signs could be: Poor balance or stumbling. Difficulty speaking clearly and slurred words. Abnormal behavior leading to you doing things you wouldn’t normally do if you were sober. As soon as you notice that you are showing signs of impairment, give your keys to a friend, the host or the bartender to ensure that you won’t drive until you are sober. Make sure to only give them your car key. Hold onto your house keys. If your friend, the host or the bartender are advising you not to drive, you are likely too drunk. Listen to their advice and acknowledge that they are trying to help you. Bystander intervention is common when it comes to drinking and driving. Many people will be willing to step in, take your keys and help you get home safely. If no one if offering to help, you may need to ask. Take a ride from a sober friend. It is best to get in a car with someone you trust when you are in this vulnerable state. Allow the host or bartender to call a cab or car service to take you home. If you are having a difficult time finding a safe way to get home, find a place to stay which does not involve you driving. Ask the host of the party if there is a place you can sleep. Give them your keys and ask that they keep them in a safe place until the morning. Stay with a friend if they live nearby and are on their way home. Find a hotel within walking distance. Call them to book a room, or have a friend help you secure one. Ask the friend if they will walk you to the hotel and make sure you get checked in safely. There are people in your life who care about you and want to be sure that you are safe. It may seem scary or embarrassing to call your parents or your siblings if you are too drunk to drive, but they will be glad you did. Your safety is the most important. You may need your phone to call someone for a ride or get help from a friend. Be sure to charge your phone before you leave the house. It is also a good idea to bring a charger with you in case your battery dies before the end of the night or you end up staying where you are and need to get home the next morning. You may also want to invest in a portable battery charger for your phone should there not be a power outlet available. Make sure it is fully charged before you leave your house. Keep it handy in your pocket or your bag throughout the night.'
],
'section_name': ['Finding Other Transportation',
'Designating a Driver',
'Staying Safe'
],
'summary': ['Walk to the venue where you will be drinking if it is close enough. Take public transit. Show up in style by hiring a limo or black car service. Flag a taxi cab for a convenient option to get where you’re going. Request a rideshare service like Uber or Lyft using an app on your phone. Reserve a designated driver service.',
'Plan in advance. Assign a designated driver. Leave your car at home. Leave the venue with your designated driver.',
'Pay attention to your body. Give up your keys. Listen to other people. Accept help. Stay where you are. Have an emergency back-up plan. Make sure that your phone is charged.'
]
},
'url': 'https://www.wikihow.com/Avoid-Drinking-and-Driving'
}
```
### Data Fields
- `url`: WikiHow URL of the article
- `article`: A dictionary containing `section_name`, `document` and `summary`
- `section_name`: List of section headings in an article
- `document`: List of documents, one for each section in the `section_name` list
- `summary`: List of summarized document
### Data Splits
| | train |
|:-----------|--------:|
| arabic | 9995 |
| chinese | 6541 |
| czech | 2520 |
| dutch | 10862 |
| english | 57945 |
| french | 21690 |
| german | 20103 |
| hindi | 3402 |
| indonesian | 16308 |
| italian | 17673 |
| japanese | 4372 |
| korean | 4111 |
| portuguese | 28143 |
| russian | 18143 |
| spanish | 6616 |
| thai | 5093 |
| turkish | 1512 |
| vietnamese | 6616 |
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
[More Information Needed]
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
[More Information Needed]
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
- Article provided by wikiHow https://www.wikihow.com/Main-Page, a wiki building the world's largest, highest quality how-to manual. Please edit this article and find author credits at wikiHow.com. Content on wikiHow can be shared under a [Creative Commons license](http://creativecommons.org/licenses/by-nc-sa/3.0/).
- Refer to [this webpage](https://www.wikihow.com/wikiHow:Attribution) for the specific attribution guidelines.
- also see https://gem-benchmark.com/data_cards/WikiLingua
### Citation Information
```bibtex
@inproceedings{ladhak-etal-2020-wikilingua,
title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
author = "Ladhak, Faisal and
Durmus, Esin and
Cardie, Claire and
McKeown, Kathleen",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.findings-emnlp.360",
doi = "10.18653/v1/2020.findings-emnlp.360",
pages = "4034--4048",
}
```
### Contributions
Thanks to [@katnoria](https://github.com/katnoria) for adding this dataset. |