Datasets:
File size: 21,066 Bytes
f8da6f4 8751bf3 f8da6f4 e71eb12 f8da6f4 e71eb12 f8da6f4 95c4ce3 9dfec2e e65bf5e 8751bf3 2df5e15 8ee09c3 3950504 5daecaa 60d2f26 8e7c3cd e6f7b92 9f40a29 9a3ed90 a98452e b9cde98 b7e72ac d04993b 40bc6fe a20d210 aad83fd 5261c63 3b09054 3b666f4 7c7779f c61897f a2cc531 d1648ff 67e467b 6553c72 d9577be 52259a2 af5547e 2a275f7 ce4e31f 016ce4f 780ad44 f5ee078 6756d2d 8eee156 6f5d102 20e9a83 35fa0a6 608a857 b05d7e5 90fc98d e8c7a18 f4f7e56 8677da9 7d8ad45 627d2d0 3d5160c ad606c7 1fa4ed8 0732cce d588752 44784bb b8ab158 ad31155 05620be f403c56 8702f84 baf1538 eff0a5e 1e58908 7291e27 2c368ce dd17c97 c72f4a5 23376d1 9586b55 3fe7832 0d156c5 6aafbe9 f8da6f4 e65bf5e 8751bf3 3950504 5daecaa e6f7b92 9f40a29 b9cde98 b7e72ac a20d210 aad83fd 3b666f4 7c7779f d1648ff 67e467b 52259a2 af5547e ce4e31f 016ce4f f5ee078 6756d2d 6f5d102 20e9a83 608a857 b05d7e5 e8c7a18 f4f7e56 7d8ad45 627d2d0 ad606c7 1fa4ed8 d588752 44784bb ad31155 05620be 8702f84 baf1538 1e58908 7291e27 dd17c97 c72f4a5 9586b55 3fe7832 6aafbe9 f8da6f4 ace963d |
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 |
---
dataset_info:
- config_name: ar
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 12747954
num_examples: 22261
- name: test
num_bytes: 3347551
num_examples: 5780
download_size: 14398170
dataset_size: 16095505
- config_name: bo
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14642058
num_examples: 25015
- name: test
num_bytes: 2767866
num_examples: 4707
download_size: 15471130
dataset_size: 17409924
- config_name: cl
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 12782903
num_examples: 22330
- name: test
num_bytes: 3200254
num_examples: 5564
download_size: 14189360
dataset_size: 15983157
- config_name: co
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14871584
num_examples: 25589
- name: test
num_bytes: 3525180
num_examples: 5992
download_size: 16536184
dataset_size: 18396764
- config_name: cr
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 13709906
num_examples: 23605
- name: test
num_bytes: 3367106
num_examples: 5747
download_size: 15873526
dataset_size: 17077012
- config_name: cu
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 12577997
num_examples: 21805
- name: test
num_bytes: 2971491
num_examples: 5053
download_size: 14055252
dataset_size: 15549488
- config_name: do
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 16123501
num_examples: 27470
- name: test
num_bytes: 3406703
num_examples: 5719
download_size: 17783516
dataset_size: 19530204
- config_name: ec
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 16024358
num_examples: 27289
- name: test
num_bytes: 3895337
num_examples: 6384
download_size: 18372044
dataset_size: 19919695
- config_name: es
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 13320680
num_examples: 23115
- name: test
num_bytes: 4344109
num_examples: 7509
download_size: 8067432
dataset_size: 17664789
- config_name: general
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 328791283
num_examples: 571120
- name: test
num_bytes: 94360368
num_examples: 160099
download_size: 196043788
dataset_size: 423151651
- config_name: gt
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 13488775
num_examples: 23311
- name: test
num_bytes: 2522413
num_examples: 4290
download_size: 7119300
dataset_size: 16011188
- config_name: hn
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 15268575
num_examples: 26736
- name: test
num_bytes: 3356442
num_examples: 5690
download_size: 8599342
dataset_size: 18625017
- config_name: mx
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 18443191
num_examples: 31957
- name: test
num_bytes: 4907428
num_examples: 8400
download_size: 10812837
dataset_size: 23350619
- config_name: ni
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 16007834
num_examples: 28064
- name: test
num_bytes: 3427465
num_examples: 5902
download_size: 9037620
dataset_size: 19435299
- config_name: pa
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14785430
num_examples: 25760
- name: test
num_bytes: 3411953
num_examples: 5801
download_size: 8448432
dataset_size: 18197383
- config_name: pe
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14663157
num_examples: 25531
- name: test
num_bytes: 3392379
num_examples: 5804
download_size: 7905987
dataset_size: 18055536
- config_name: pr
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 15346938
num_examples: 26672
- name: test
num_bytes: 3681957
num_examples: 6280
download_size: 8869912
dataset_size: 19028895
- config_name: py
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14178292
num_examples: 24717
- name: test
num_bytes: 3145829
num_examples: 5474
download_size: 7893746
dataset_size: 17324121
- config_name: sv
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 14769527
num_examples: 25920
- name: test
num_bytes: 3392693
num_examples: 5821
download_size: 8417869
dataset_size: 18162220
- config_name: us
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 13381212
num_examples: 23197
- name: test
num_bytes: 2663961
num_examples: 4535
download_size: 6743954
dataset_size: 16045173
- config_name: uy
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 11850558
num_examples: 20856
- name: test
num_bytes: 3147987
num_examples: 5571
download_size: 7052806
dataset_size: 14998545
- config_name: ve
features:
- name: id
dtype: int64
- name: query
dtype: string
- name: docid
dtype: string
- name: docid_text
dtype: string
- name: query_date
dtype: date32
- name: answer_date
dtype: date32
- name: match_score
dtype: float32
- name: expanded_search
dtype: bool
- name: answer_type
dtype: string
splits:
- name: train
num_bytes: 15672822
num_examples: 26730
- name: test
num_bytes: 3680937
num_examples: 6126
download_size: 8763138
dataset_size: 19353759
configs:
- config_name: ar
data_files:
- split: train
path: ar/train-*
- split: test
path: ar/test-*
- config_name: bo
data_files:
- split: train
path: bo/train-*
- split: test
path: bo/test-*
- config_name: cl
data_files:
- split: train
path: cl/train-*
- split: test
path: cl/test-*
- config_name: co
data_files:
- split: train
path: co/train-*
- split: test
path: co/test-*
- config_name: cr
data_files:
- split: train
path: cr/train-*
- split: test
path: cr/test-*
- config_name: cu
data_files:
- split: train
path: cu/train-*
- split: test
path: cu/test-*
- config_name: do
data_files:
- split: train
path: do/train-*
- split: test
path: do/test-*
- config_name: ec
data_files:
- split: train
path: ec/train-*
- split: test
path: ec/test-*
- config_name: es
data_files:
- split: train
path: es/train-*
- split: test
path: es/test-*
- config_name: general
data_files:
- split: train
path: general/train-*
- split: test
path: general/test-*
- config_name: gt
data_files:
- split: train
path: gt/train-*
- split: test
path: gt/test-*
- config_name: hn
data_files:
- split: train
path: hn/train-*
- split: test
path: hn/test-*
- config_name: mx
data_files:
- split: train
path: mx/train-*
- split: test
path: mx/test-*
- config_name: ni
data_files:
- split: train
path: ni/train-*
- split: test
path: ni/test-*
- config_name: pa
data_files:
- split: train
path: pa/train-*
- split: test
path: pa/test-*
- config_name: pe
data_files:
- split: train
path: pe/train-*
- split: test
path: pe/test-*
- config_name: pr
data_files:
- split: train
path: pr/train-*
- split: test
path: pr/test-*
- config_name: py
data_files:
- split: train
path: py/train-*
- split: test
path: py/test-*
- config_name: sv
data_files:
- split: train
path: sv/train-*
- split: test
path: sv/test-*
- config_name: us
data_files:
- split: train
path: us/train-*
- split: test
path: us/test-*
- config_name: uy
data_files:
- split: train
path: uy/train-*
- split: test
path: uy/test-*
- config_name: ve
data_files:
- split: train
path: ve/train-*
- split: test
path: ve/test-*
---
# Dataset Card for [More Information Needed]
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
### Data Instances
<!-- Provide an JSON-formatted example and brief description of a typical instance in the dataset. If available, provide a link to further examples.
```
{
'example_field': ...,
...
}
```
Provide any additional information that is not covered in the other sections about the data here. In particular describe any relationships between data points and if these relationships are made explicit. -->
[More Information Needed]
### Data Fields
- `id`: query id
- `query`: query text
- `docid`: relevant document id in the corpus
- `docid_text`: relevant document text
- `query_date`: date the query was extracted
- `answer_date`: date the answer was extracted
- `match_score`: the longest string in the SERP answer that is a substring of the matched document text, as a ratio of the length of the SERP answer
- `expanded_search`: if the SERP returned a message indicating that the search was "expanded" with additional results ("se incluyen resultados de...")
- `answer_type`: type of answer extracted (`feat_snippet`, featured snippets, are the most important)
<!-- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions. -->
### Data Splits
<!-- Describe and name the splits in the dataset if there are more than one.
Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here.
Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length. For example:
| | train | validation | test |
|-------------------------|------:|-----------:|-----:|
| Input Sentences | | | |
| Average Sentence Length | | | |
-->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |