--- language: - ara - aze - ben - bul - cat - ces - dan - deu - ell - eng - est - fas - fin - fra - heb - hin - hrv - hun - ind - isl - ita - jpn - kat - kaz - kor - lav - lit - mar - msa - nld - nor - pol - por - ron - rus - slk - slv - spa - sqi - srp - swe - tgl - tha - tur - ukr - urd - uzb - vie - zho multilinguality: - multilingual task_categories: - text-retrieval task_ids: - document-retrieval config_names: - corpus tags: - text-retrieval dataset_info: - config_name: ara-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 6293949 num_examples: 132664 - name: test num_bytes: 474367 num_examples: 10000 - config_name: ara-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 162827578 num_examples: 142664 - config_name: ara-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 32958434 num_examples: 132664 - name: test num_bytes: 2500510 num_examples: 10000 - config_name: aze-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 195201 num_examples: 4382 - name: test num_bytes: 21684 num_examples: 487 - config_name: aze-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 2248188 num_examples: 4869 - config_name: aze-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 456197 num_examples: 4382 - name: test num_bytes: 50686 num_examples: 487 - config_name: ben-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 585486 num_examples: 12883 - name: test num_bytes: 65099 num_examples: 1432 - config_name: ben-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 16433210 num_examples: 14315 - config_name: ben-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 3057883 num_examples: 12883 - name: test num_bytes: 342824 num_examples: 1432 - config_name: bul-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1449284 num_examples: 31260 - name: test num_bytes: 160994 num_examples: 3474 - config_name: bul-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 56395153 num_examples: 34734 - config_name: bul-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 8472065 num_examples: 31260 - name: test num_bytes: 947542 num_examples: 3474 - config_name: cat-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 516924 num_examples: 11424 - name: test num_bytes: 57474 num_examples: 1270 - config_name: cat-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 4645805 num_examples: 12694 - config_name: cat-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 955707 num_examples: 11424 - name: test num_bytes: 105959 num_examples: 1270 - config_name: ces-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 3038616 num_examples: 65077 - name: test num_bytes: 337640 num_examples: 7231 - config_name: ces-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 33193093 num_examples: 72308 - config_name: ces-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 6114234 num_examples: 65077 - name: test num_bytes: 671592 num_examples: 7231 - config_name: dan-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 6050475 num_examples: 127686 - name: test num_bytes: 473919 num_examples: 10000 - config_name: dan-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 49171909 num_examples: 137686 - config_name: dan-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 9957312 num_examples: 127686 - name: test num_bytes: 775965 num_examples: 10000 - config_name: deu-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 42959068 num_examples: 881201 - name: test num_bytes: 487561 num_examples: 10000 - config_name: deu-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 377457585 num_examples: 891201 - config_name: deu-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 71911852 num_examples: 881201 - name: test num_bytes: 819131 num_examples: 10000 - config_name: ell-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1609265 num_examples: 34664 - name: test num_bytes: 178767 num_examples: 3852 - config_name: ell-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 69705751 num_examples: 38516 - config_name: ell-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 10020290 num_examples: 34664 - name: test num_bytes: 1103393 num_examples: 3852 - config_name: eng-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 266487011 num_examples: 5268725 - name: test num_bytes: 505744 num_examples: 10000 - config_name: eng-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 1772481467 num_examples: 5278725 - config_name: eng-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 393277327 num_examples: 5268725 - name: test num_bytes: 744279 num_examples: 10000 - config_name: est-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 525236 num_examples: 11601 - name: test num_bytes: 58421 num_examples: 1290 - config_name: est-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 4383991 num_examples: 12891 - config_name: est-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 908937 num_examples: 11601 - name: test num_bytes: 101909 num_examples: 1290 - config_name: fas-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 10417722 num_examples: 216940 - name: test num_bytes: 480118 num_examples: 10000 - config_name: fas-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 240471393 num_examples: 226940 - config_name: fas-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 55308380 num_examples: 216940 - name: test num_bytes: 2559588 num_examples: 10000 - config_name: fin-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 3091007 num_examples: 66192 - name: test num_bytes: 343482 num_examples: 7355 - config_name: fin-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 28033422 num_examples: 73547 - config_name: fin-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 5314235 num_examples: 66192 - name: test num_bytes: 589920 num_examples: 7355 - config_name: fra-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 27197413 num_examples: 559505 - name: test num_bytes: 486112 num_examples: 10000 - config_name: fra-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 256564231 num_examples: 569505 - config_name: fra-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 50838219 num_examples: 559505 - name: test num_bytes: 912921 num_examples: 10000 - config_name: heb-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1627547 num_examples: 35055 - name: test num_bytes: 180930 num_examples: 3896 - config_name: heb-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 48378739 num_examples: 38951 - config_name: heb-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 7572643 num_examples: 35055 - name: test num_bytes: 829447 num_examples: 3896 - config_name: hin-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 4211562 num_examples: 90031 - name: test num_bytes: 467737 num_examples: 10000 - config_name: hin-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 87202578 num_examples: 100031 - config_name: hin-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 22108215 num_examples: 90031 - name: test num_bytes: 2449171 num_examples: 10000 - config_name: hrv-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 222556 num_examples: 4990 - name: test num_bytes: 24749 num_examples: 555 - config_name: hrv-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 1888390 num_examples: 5545 - config_name: hrv-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 395678 num_examples: 4990 - name: test num_bytes: 43710 num_examples: 555 - config_name: hun-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1895908 num_examples: 40764 - name: test num_bytes: 210690 num_examples: 4530 - config_name: hun-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 21346090 num_examples: 45294 - config_name: hun-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 3894129 num_examples: 40764 - name: test num_bytes: 432776 num_examples: 4530 - config_name: ind-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 4762169 num_examples: 101315 - name: test num_bytes: 470046 num_examples: 10000 - config_name: ind-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 32240964 num_examples: 111315 - config_name: ind-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 8003845 num_examples: 101315 - name: test num_bytes: 787656 num_examples: 10000 - config_name: isl-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 191506 num_examples: 4300 - name: test num_bytes: 21284 num_examples: 478 - config_name: isl-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 2182489 num_examples: 4778 - config_name: isl-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 478819 num_examples: 4300 - name: test num_bytes: 53509 num_examples: 478 - config_name: ita-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 11928821 num_examples: 247803 - name: test num_bytes: 481306 num_examples: 10000 - config_name: ita-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 96693889 num_examples: 257803 - config_name: ita-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 21034519 num_examples: 247803 - name: test num_bytes: 852818 num_examples: 10000 - config_name: jpn-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 14443765 num_examples: 299157 - name: test num_bytes: 482708 num_examples: 10000 - config_name: jpn-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 254914767 num_examples: 309157 - config_name: jpn-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 50949827 num_examples: 299157 - name: test num_bytes: 1696476 num_examples: 10000 - config_name: kat-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 95370 num_examples: 2164 - name: test num_bytes: 10635 num_examples: 241 - config_name: kat-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 3179231 num_examples: 2405 - config_name: kat-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 569687 num_examples: 2164 - name: test num_bytes: 62630 num_examples: 241 - config_name: kaz-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 119265 num_examples: 2695 - name: test num_bytes: 13290 num_examples: 300 - config_name: kaz-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 4105845 num_examples: 2995 - config_name: kaz-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 751913 num_examples: 2695 - name: test num_bytes: 79977 num_examples: 300 - config_name: kor-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 4307545 num_examples: 92000 - name: test num_bytes: 468235 num_examples: 10000 - config_name: kor-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 65463396 num_examples: 102000 - config_name: kor-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 13051430 num_examples: 92000 - name: test num_bytes: 1411285 num_examples: 10000 - config_name: lav-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 534897 num_examples: 11805 - name: test num_bytes: 59382 num_examples: 1312 - config_name: lav-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 5523106 num_examples: 13117 - config_name: lav-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1059030 num_examples: 11805 - name: test num_bytes: 118211 num_examples: 1312 - config_name: lit-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 756757 num_examples: 16526 - name: test num_bytes: 84084 num_examples: 1837 - config_name: lit-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 7954027 num_examples: 18363 - config_name: lit-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1382777 num_examples: 16526 - name: test num_bytes: 154615 num_examples: 1837 - config_name: mar-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 297828 num_examples: 6663 - name: test num_bytes: 33132 num_examples: 741 - config_name: mar-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 6451337 num_examples: 7404 - config_name: mar-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1523782 num_examples: 6663 - name: test num_bytes: 169123 num_examples: 741 - config_name: msa-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 258364 num_examples: 5786 - name: test num_bytes: 28721 num_examples: 643 - config_name: msa-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 1374884 num_examples: 6429 - config_name: msa-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 474319 num_examples: 5786 - name: test num_bytes: 53011 num_examples: 643 - config_name: nld-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 17456124 num_examples: 360662 - name: test num_bytes: 484094 num_examples: 10000 - config_name: nld-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 134247494 num_examples: 370662 - config_name: nld-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 26845652 num_examples: 360662 - name: test num_bytes: 747128 num_examples: 10000 - config_name: nor-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 2654680 num_examples: 56908 - name: test num_bytes: 295004 num_examples: 6324 - config_name: nor-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 21733914 num_examples: 63232 - config_name: nor-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 4389740 num_examples: 56908 - name: test num_bytes: 486333 num_examples: 6324 - config_name: pol-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 8732406 num_examples: 182515 - name: test num_bytes: 478609 num_examples: 10000 - config_name: pol-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 83829979 num_examples: 192515 - config_name: pol-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 16387616 num_examples: 182515 - name: test num_bytes: 891561 num_examples: 10000 - config_name: por-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 9556659 num_examples: 199353 - name: test num_bytes: 479418 num_examples: 10000 - config_name: por-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 80179713 num_examples: 209353 - config_name: por-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 16301318 num_examples: 199353 - name: test num_bytes: 816501 num_examples: 10000 - config_name: ron-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 2513407 num_examples: 53902 - name: test num_bytes: 279297 num_examples: 5990 - config_name: ron-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 23127529 num_examples: 59892 - config_name: ron-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 4627425 num_examples: 53902 - name: test num_bytes: 517922 num_examples: 5990 - config_name: rus-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 18281176 num_examples: 377504 - name: test num_bytes: 484300 num_examples: 10000 - config_name: rus-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 612916055 num_examples: 387504 - config_name: rus-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 114319660 num_examples: 377504 - name: test num_bytes: 3036674 num_examples: 10000 - config_name: slk-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1313413 num_examples: 28369 - name: test num_bytes: 145901 num_examples: 3153 - config_name: slk-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 14900601 num_examples: 31522 - config_name: slk-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 2851353 num_examples: 28369 - name: test num_bytes: 318766 num_examples: 3153 - config_name: slv-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 663899 num_examples: 14551 - name: test num_bytes: 73777 num_examples: 1617 - config_name: slv-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 6635100 num_examples: 16168 - config_name: slv-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1171004 num_examples: 14551 - name: test num_bytes: 129922 num_examples: 1617 - config_name: spa-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 28919803 num_examples: 594661 - name: test num_bytes: 486366 num_examples: 10000 - config_name: spa-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 240959272 num_examples: 604661 - config_name: spa-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 53980948 num_examples: 594661 - name: test num_bytes: 913713 num_examples: 10000 - config_name: sqi-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 82108 num_examples: 1869 - name: test num_bytes: 9137 num_examples: 208 - config_name: sqi-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 974082 num_examples: 2077 - config_name: sqi-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 193094 num_examples: 1869 - name: test num_bytes: 20854 num_examples: 208 - config_name: srp-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 233839 num_examples: 5241 - name: test num_bytes: 26021 num_examples: 583 - config_name: srp-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 4871763 num_examples: 5824 - config_name: srp-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 967764 num_examples: 5241 - name: test num_bytes: 107724 num_examples: 583 - config_name: swe-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 7079762 num_examples: 148738 - name: test num_bytes: 476180 num_examples: 10000 - config_name: swe-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 59133680 num_examples: 158738 - config_name: swe-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 11970053 num_examples: 148738 - name: test num_bytes: 803251 num_examples: 10000 - config_name: tgl-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 147718 num_examples: 3327 - name: test num_bytes: 16427 num_examples: 370 - config_name: tgl-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 1366620 num_examples: 3697 - config_name: tgl-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 256177 num_examples: 3327 - name: test num_bytes: 28075 num_examples: 370 - config_name: tha-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 1986170 num_examples: 42686 - name: test num_bytes: 220773 num_examples: 4743 - config_name: tha-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 58286007 num_examples: 47429 - config_name: tha-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 10946198 num_examples: 42686 - name: test num_bytes: 1213165 num_examples: 4743 - config_name: tur-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 6400507 num_examples: 134846 - name: test num_bytes: 474727 num_examples: 10000 - config_name: tur-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 57145253 num_examples: 144846 - config_name: tur-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 11003660 num_examples: 134846 - name: test num_bytes: 812383 num_examples: 10000 - config_name: ukr-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 2877527 num_examples: 61650 - name: test num_bytes: 319800 num_examples: 6851 - config_name: ukr-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 96739027 num_examples: 68501 - config_name: ukr-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 16581271 num_examples: 61650 - name: test num_bytes: 1832032 num_examples: 6851 - config_name: urd-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 110363 num_examples: 2497 - name: test num_bytes: 12292 num_examples: 278 - config_name: urd-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 3157317 num_examples: 2775 - config_name: urd-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 487028 num_examples: 2497 - name: test num_bytes: 53824 num_examples: 278 - config_name: uzb-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 49134 num_examples: 1136 - name: test num_bytes: 5481 num_examples: 127 - config_name: uzb-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 397472 num_examples: 1263 - config_name: uzb-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 84009 num_examples: 1136 - name: test num_bytes: 9237 num_examples: 127 - config_name: vie-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 5380320 num_examples: 113972 - name: test num_bytes: 472088 num_examples: 10000 - config_name: vie-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 76390471 num_examples: 123972 - config_name: vie-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 14776653 num_examples: 113972 - name: test num_bytes: 1299967 num_examples: 10000 - config_name: zho-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 5796595 num_examples: 122491 - name: test num_bytes: 473244 num_examples: 10000 - config_name: zho-corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 79790293 num_examples: 132491 - config_name: zho-queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 14554815 num_examples: 122491 - name: test num_bytes: 1183199 num_examples: 10000 configs: - config_name: ara-qrels data_files: - split: train path: ara/qrels-train.jsonl - split: test path: ara/qrels-test.jsonl - config_name: ara-corpus data_files: - split: corpus path: ara/corpus.jsonl - config_name: ara-queries data_files: - split: train path: ara/queries-train.jsonl - split: test path: ara/queries-test.jsonl - config_name: aze-qrels data_files: - split: train path: aze/qrels-train.jsonl - split: test path: aze/qrels-test.jsonl - config_name: aze-corpus data_files: - split: corpus path: aze/corpus.jsonl - config_name: aze-queries data_files: - split: train path: aze/queries-train.jsonl - split: test path: aze/queries-test.jsonl - config_name: ben-qrels data_files: - split: train path: ben/qrels-train.jsonl - split: test path: ben/qrels-test.jsonl - config_name: ben-corpus data_files: - split: corpus path: ben/corpus.jsonl - config_name: ben-queries data_files: - split: train path: ben/queries-train.jsonl - split: test path: ben/queries-test.jsonl - config_name: bul-qrels data_files: - split: train path: bul/qrels-train.jsonl - split: test path: bul/qrels-test.jsonl - config_name: bul-corpus data_files: - split: corpus path: bul/corpus.jsonl - config_name: bul-queries data_files: - split: train path: bul/queries-train.jsonl - split: test path: bul/queries-test.jsonl - config_name: cat-qrels data_files: - split: train path: cat/qrels-train.jsonl - split: test path: cat/qrels-test.jsonl - config_name: cat-corpus data_files: - split: corpus path: cat/corpus.jsonl - config_name: cat-queries data_files: - split: train path: cat/queries-train.jsonl - split: test path: cat/queries-test.jsonl - config_name: ces-qrels data_files: - split: train path: ces/qrels-train.jsonl - split: test path: ces/qrels-test.jsonl - config_name: ces-corpus data_files: - split: corpus path: ces/corpus.jsonl - config_name: ces-queries data_files: - split: train path: ces/queries-train.jsonl - split: test path: ces/queries-test.jsonl - config_name: dan-qrels data_files: - split: train path: dan/qrels-train.jsonl - split: test path: dan/qrels-test.jsonl - config_name: dan-corpus data_files: - split: corpus path: dan/corpus.jsonl - config_name: dan-queries data_files: - split: train path: dan/queries-train.jsonl - split: test path: dan/queries-test.jsonl - config_name: deu-qrels data_files: - split: train path: deu/qrels-train.jsonl - split: test path: deu/qrels-test.jsonl - config_name: deu-corpus data_files: - split: corpus path: deu/corpus.jsonl - config_name: deu-queries data_files: - split: train path: deu/queries-train.jsonl - split: test path: deu/queries-test.jsonl - config_name: ell-qrels data_files: - split: train path: ell/qrels-train.jsonl - split: test path: ell/qrels-test.jsonl - config_name: ell-corpus data_files: - split: corpus path: ell/corpus.jsonl - config_name: ell-queries data_files: - split: train path: ell/queries-train.jsonl - split: test path: ell/queries-test.jsonl - config_name: eng-qrels data_files: - split: train path: eng/qrels-train.jsonl - split: test path: eng/qrels-test.jsonl - config_name: eng-corpus data_files: - split: corpus path: eng/corpus.jsonl - config_name: eng-queries data_files: - split: train path: eng/queries-train.jsonl - split: test path: eng/queries-test.jsonl - config_name: est-qrels data_files: - split: train path: est/qrels-train.jsonl - split: test path: est/qrels-test.jsonl - config_name: est-corpus data_files: - split: corpus path: est/corpus.jsonl - config_name: est-queries data_files: - split: train path: est/queries-train.jsonl - split: test path: est/queries-test.jsonl - config_name: fas-qrels data_files: - split: train path: fas/qrels-train.jsonl - split: test path: fas/qrels-test.jsonl - config_name: fas-corpus data_files: - split: corpus path: fas/corpus.jsonl - config_name: fas-queries data_files: - split: train path: fas/queries-train.jsonl - split: test path: fas/queries-test.jsonl - config_name: fin-qrels data_files: - split: train path: fin/qrels-train.jsonl - split: test path: fin/qrels-test.jsonl - config_name: fin-corpus data_files: - split: corpus path: fin/corpus.jsonl - config_name: fin-queries data_files: - split: train path: fin/queries-train.jsonl - split: test path: fin/queries-test.jsonl - config_name: fra-qrels data_files: - split: train path: fra/qrels-train.jsonl - split: test path: fra/qrels-test.jsonl - config_name: fra-corpus data_files: - split: corpus path: fra/corpus.jsonl - config_name: fra-queries data_files: - split: train path: fra/queries-train.jsonl - split: test path: fra/queries-test.jsonl - config_name: heb-qrels data_files: - split: train path: heb/qrels-train.jsonl - split: test path: heb/qrels-test.jsonl - config_name: heb-corpus data_files: - split: corpus path: heb/corpus.jsonl - config_name: heb-queries data_files: - split: train path: heb/queries-train.jsonl - split: test path: heb/queries-test.jsonl - config_name: hin-qrels data_files: - split: train path: hin/qrels-train.jsonl - split: test path: hin/qrels-test.jsonl - config_name: hin-corpus data_files: - split: corpus path: hin/corpus.jsonl - config_name: hin-queries data_files: - split: train path: hin/queries-train.jsonl - split: test path: hin/queries-test.jsonl - config_name: hrv-qrels data_files: - split: train path: hrv/qrels-train.jsonl - split: test path: hrv/qrels-test.jsonl - config_name: hrv-corpus data_files: - split: corpus path: hrv/corpus.jsonl - config_name: hrv-queries data_files: - split: train path: hrv/queries-train.jsonl - split: test path: hrv/queries-test.jsonl - config_name: hun-qrels data_files: - split: train path: hun/qrels-train.jsonl - split: test path: hun/qrels-test.jsonl - config_name: hun-corpus data_files: - split: corpus path: hun/corpus.jsonl - config_name: hun-queries data_files: - split: train path: hun/queries-train.jsonl - split: test path: hun/queries-test.jsonl - config_name: ind-qrels data_files: - split: train path: ind/qrels-train.jsonl - split: test path: ind/qrels-test.jsonl - config_name: ind-corpus data_files: - split: corpus path: ind/corpus.jsonl - config_name: ind-queries data_files: - split: train path: ind/queries-train.jsonl - split: test path: ind/queries-test.jsonl - config_name: isl-qrels data_files: - split: train path: isl/qrels-train.jsonl - split: test path: isl/qrels-test.jsonl - config_name: isl-corpus data_files: - split: corpus path: isl/corpus.jsonl - config_name: isl-queries data_files: - split: train path: isl/queries-train.jsonl - split: test path: isl/queries-test.jsonl - config_name: ita-qrels data_files: - split: train path: ita/qrels-train.jsonl - split: test path: ita/qrels-test.jsonl - config_name: ita-corpus data_files: - split: corpus path: ita/corpus.jsonl - config_name: ita-queries data_files: - split: train path: ita/queries-train.jsonl - split: test path: ita/queries-test.jsonl - config_name: jpn-qrels data_files: - split: train path: jpn/qrels-train.jsonl - split: test path: jpn/qrels-test.jsonl - config_name: jpn-corpus data_files: - split: corpus path: jpn/corpus.jsonl - config_name: jpn-queries data_files: - split: train path: jpn/queries-train.jsonl - split: test path: jpn/queries-test.jsonl - config_name: kat-qrels data_files: - split: train path: kat/qrels-train.jsonl - split: test path: kat/qrels-test.jsonl - config_name: kat-corpus data_files: - split: corpus path: kat/corpus.jsonl - config_name: kat-queries data_files: - split: train path: kat/queries-train.jsonl - split: test path: kat/queries-test.jsonl - config_name: kaz-qrels data_files: - split: train path: kaz/qrels-train.jsonl - split: test path: kaz/qrels-test.jsonl - config_name: kaz-corpus data_files: - split: corpus path: kaz/corpus.jsonl - config_name: kaz-queries data_files: - split: train path: kaz/queries-train.jsonl - split: test path: kaz/queries-test.jsonl - config_name: kor-qrels data_files: - split: train path: kor/qrels-train.jsonl - split: test path: kor/qrels-test.jsonl - config_name: kor-corpus data_files: - split: corpus path: kor/corpus.jsonl - config_name: kor-queries data_files: - split: train path: kor/queries-train.jsonl - split: test path: kor/queries-test.jsonl - config_name: lav-qrels data_files: - split: train path: lav/qrels-train.jsonl - split: test path: lav/qrels-test.jsonl - config_name: lav-corpus data_files: - split: corpus path: lav/corpus.jsonl - config_name: lav-queries data_files: - split: train path: lav/queries-train.jsonl - split: test path: lav/queries-test.jsonl - config_name: lit-qrels data_files: - split: train path: lit/qrels-train.jsonl - split: test path: lit/qrels-test.jsonl - config_name: lit-corpus data_files: - split: corpus path: lit/corpus.jsonl - config_name: lit-queries data_files: - split: train path: lit/queries-train.jsonl - split: test path: lit/queries-test.jsonl - config_name: mar-qrels data_files: - split: train path: mar/qrels-train.jsonl - split: test path: mar/qrels-test.jsonl - config_name: mar-corpus data_files: - split: corpus path: mar/corpus.jsonl - config_name: mar-queries data_files: - split: train path: mar/queries-train.jsonl - split: test path: mar/queries-test.jsonl - config_name: msa-qrels data_files: - split: train path: msa/qrels-train.jsonl - split: test path: msa/qrels-test.jsonl - config_name: msa-corpus data_files: - split: corpus path: msa/corpus.jsonl - config_name: msa-queries data_files: - split: train path: msa/queries-train.jsonl - split: test path: msa/queries-test.jsonl - config_name: nld-qrels data_files: - split: train path: nld/qrels-train.jsonl - split: test path: nld/qrels-test.jsonl - config_name: nld-corpus data_files: - split: corpus path: nld/corpus.jsonl - config_name: nld-queries data_files: - split: train path: nld/queries-train.jsonl - split: test path: nld/queries-test.jsonl - config_name: nor-qrels data_files: - split: train path: nor/qrels-train.jsonl - split: test path: nor/qrels-test.jsonl - config_name: nor-corpus data_files: - split: corpus path: nor/corpus.jsonl - config_name: nor-queries data_files: - split: train path: nor/queries-train.jsonl - split: test path: nor/queries-test.jsonl - config_name: pol-qrels data_files: - split: train path: pol/qrels-train.jsonl - split: test path: pol/qrels-test.jsonl - config_name: pol-corpus data_files: - split: corpus path: pol/corpus.jsonl - config_name: pol-queries data_files: - split: train path: pol/queries-train.jsonl - split: test path: pol/queries-test.jsonl - config_name: por-qrels data_files: - split: train path: por/qrels-train.jsonl - split: test path: por/qrels-test.jsonl - config_name: por-corpus data_files: - split: corpus path: por/corpus.jsonl - config_name: por-queries data_files: - split: train path: por/queries-train.jsonl - split: test path: por/queries-test.jsonl - config_name: ron-qrels data_files: - split: train path: ron/qrels-train.jsonl - split: test path: ron/qrels-test.jsonl - config_name: ron-corpus data_files: - split: corpus path: ron/corpus.jsonl - config_name: ron-queries data_files: - split: train path: ron/queries-train.jsonl - split: test path: ron/queries-test.jsonl - config_name: rus-qrels data_files: - split: train path: rus/qrels-train.jsonl - split: test path: rus/qrels-test.jsonl - config_name: rus-corpus data_files: - split: corpus path: rus/corpus.jsonl - config_name: rus-queries data_files: - split: train path: rus/queries-train.jsonl - split: test path: rus/queries-test.jsonl - config_name: slk-qrels data_files: - split: train path: slk/qrels-train.jsonl - split: test path: slk/qrels-test.jsonl - config_name: slk-corpus data_files: - split: corpus path: slk/corpus.jsonl - config_name: slk-queries data_files: - split: train path: slk/queries-train.jsonl - split: test path: slk/queries-test.jsonl - config_name: slv-qrels data_files: - split: train path: slv/qrels-train.jsonl - split: test path: slv/qrels-test.jsonl - config_name: slv-corpus data_files: - split: corpus path: slv/corpus.jsonl - config_name: slv-queries data_files: - split: train path: slv/queries-train.jsonl - split: test path: slv/queries-test.jsonl - config_name: spa-qrels data_files: - split: train path: spa/qrels-train.jsonl - split: test path: spa/qrels-test.jsonl - config_name: spa-corpus data_files: - split: corpus path: spa/corpus.jsonl - config_name: spa-queries data_files: - split: train path: spa/queries-train.jsonl - split: test path: spa/queries-test.jsonl - config_name: sqi-qrels data_files: - split: train path: sqi/qrels-train.jsonl - split: test path: sqi/qrels-test.jsonl - config_name: sqi-corpus data_files: - split: corpus path: sqi/corpus.jsonl - config_name: sqi-queries data_files: - split: train path: sqi/queries-train.jsonl - split: test path: sqi/queries-test.jsonl - config_name: srp-qrels data_files: - split: train path: srp/qrels-train.jsonl - split: test path: srp/qrels-test.jsonl - config_name: srp-corpus data_files: - split: corpus path: srp/corpus.jsonl - config_name: srp-queries data_files: - split: train path: srp/queries-train.jsonl - split: test path: srp/queries-test.jsonl - config_name: swe-qrels data_files: - split: train path: swe/qrels-train.jsonl - split: test path: swe/qrels-test.jsonl - config_name: swe-corpus data_files: - split: corpus path: swe/corpus.jsonl - config_name: swe-queries data_files: - split: train path: swe/queries-train.jsonl - split: test path: swe/queries-test.jsonl - config_name: tgl-qrels data_files: - split: train path: tgl/qrels-train.jsonl - split: test path: tgl/qrels-test.jsonl - config_name: tgl-corpus data_files: - split: corpus path: tgl/corpus.jsonl - config_name: tgl-queries data_files: - split: train path: tgl/queries-train.jsonl - split: test path: tgl/queries-test.jsonl - config_name: tha-qrels data_files: - split: train path: tha/qrels-train.jsonl - split: test path: tha/qrels-test.jsonl - config_name: tha-corpus data_files: - split: corpus path: tha/corpus.jsonl - config_name: tha-queries data_files: - split: train path: tha/queries-train.jsonl - split: test path: tha/queries-test.jsonl - config_name: tur-qrels data_files: - split: train path: tur/qrels-train.jsonl - split: test path: tur/qrels-test.jsonl - config_name: tur-corpus data_files: - split: corpus path: tur/corpus.jsonl - config_name: tur-queries data_files: - split: train path: tur/queries-train.jsonl - split: test path: tur/queries-test.jsonl - config_name: ukr-qrels data_files: - split: train path: ukr/qrels-train.jsonl - split: test path: ukr/qrels-test.jsonl - config_name: ukr-corpus data_files: - split: corpus path: ukr/corpus.jsonl - config_name: ukr-queries data_files: - split: train path: ukr/queries-train.jsonl - split: test path: ukr/queries-test.jsonl - config_name: urd-qrels data_files: - split: train path: urd/qrels-train.jsonl - split: test path: urd/qrels-test.jsonl - config_name: urd-corpus data_files: - split: corpus path: urd/corpus.jsonl - config_name: urd-queries data_files: - split: train path: urd/queries-train.jsonl - split: test path: urd/queries-test.jsonl - config_name: uzb-qrels data_files: - split: train path: uzb/qrels-train.jsonl - split: test path: uzb/qrels-test.jsonl - config_name: uzb-corpus data_files: - split: corpus path: uzb/corpus.jsonl - config_name: uzb-queries data_files: - split: train path: uzb/queries-train.jsonl - split: test path: uzb/queries-test.jsonl - config_name: vie-qrels data_files: - split: train path: vie/qrels-train.jsonl - split: test path: vie/qrels-test.jsonl - config_name: vie-corpus data_files: - split: corpus path: vie/corpus.jsonl - config_name: vie-queries data_files: - split: train path: vie/queries-train.jsonl - split: test path: vie/queries-test.jsonl - config_name: zho-qrels data_files: - split: train path: zho/qrels-train.jsonl - split: test path: zho/qrels-test.jsonl - config_name: zho-corpus data_files: - split: corpus path: zho/corpus.jsonl - config_name: zho-queries data_files: - split: train path: zho/queries-train.jsonl - split: test path: zho/queries-test.jsonl ---

WebFAQ Retrieval Dataset

Overview | Details | Structure | Examples | Considerations | License | Citation | Contact | Acknowledgement

## Overview The **WebFAQ Retrieval Dataset** is a carefully **filtered and curated subset** of the broader [WebFAQ Q&A Dataset](https://huggingface.co/datasets/PaDaS-Lab/webfaq). It is **purpose-built for Information Retrieval (IR)** tasks, such as **training and evaluating** dense or sparse retrieval models in **multiple languages**. Each of the **49 largest** languages from the WebFAQ corpus has been **thoroughly cleaned** and **refined** to ensure an unblurred notion of relevance between a query (question) and its corresponding document (answer). In particular, we applied: - **Deduplication** of near-identical questions, - **Semantic consistency checks** for question-answer alignment, - **Train/Test splits** for retrieval experiments. ## Details ### Languages The **WebFAQ Retrieval Dataset** covers **49 languages** from the original WebFAQ corpus, both high-resource as well as low-resource. To ensure diversity, the 49 subsets originate from at least 100 different websites each. A single language comprises a few thousands to a few million of QA pairs after our rigorous filtering steps: #### Top 20 Languages | Language | # QA pairs | |----------|-----------:| | ara | 143k | | dan | 138k | | deu | 891k | | eng | 5.28M | | fas | 227k | | fra | 570k | | hin | 100k | | ind | 111k | | ita | 258k | | jpn | 309k | | kor | 102k | | nld | 371k | | pol | 193k | | por | 209k | | rus | 388k | | spa | 605k | | swe | 159k | | tur | 145k | | vie | 124k | | zho | 132k |
Table of all 49 languages (lexicographical order) | Language | # QA pairs | # Test | |----------|-----------:|-------:| | ara | 143k | 10k | | aze | 4869 | 487 | | ben | 14.3k | 1432 | | bul | 34.7k | 3474 | | cat | 12.7k | 1270 | | ces | 72.3k | 7231 | | dan | 138k | 10k | | deu | 891k | 10k | | ell | 38.5k | 3852 | | eng | 5.28M | 10k | | est | 12.9k | 1290 | | fas | 227k | 10k | | fin | 73.5k | 7355 | | fra | 570k | 10k | | heb | 39.0k | 3896 | | hin | 100k | 10k | | hrv | 5545 | 555 | | hun | 45.3k | 4530 | | ind | 111k | 10k | | isl | 4778 | 478 | | ita | 258k | 10k | | jpn | 309k | 10k | | kat | 2405 | 241 | | kaz | 2995 | 300 | | kor | 102k | 10k | | lav | 13.1k | 1312 | | lit | 18.4k | 1837 | | mar | 7404 | 741 | | msa | 6429 | 643 | | nld | 371k | 10k | | nor | 63.2k | 6324 | | pol | 193k | 10k | | por | 209k | 10k | | ron | 59.9k | 5990 | | rus | 388k | 10k | | slk | 31.5k | 3153 | | slv | 16.2k | 1617 | | spa | 605k | 10k | | sqi | 2077 | 208 | | srp | 5824 | 583 | | swe | 159k | 10k | | tgl | 3697 | 370 | | tha | 47.4k | 4743 | | tur | 145k | 10k | | ukr | 68.5k | 6851 | | urd | 2775 | 278 | | uzb | 1263 | 127 | | vie | 124k | 10k | | zho | 132k | 10k |
Table of all 49 languages (ordered by size) | Language | # QA pairs | # Test | |----------|-----------:|-------:| | eng | 5.28M | 10k | | deu | 891k | 10k | | spa | 605k | 10k | | fra | 570k | 10k | | rus | 388k | 10k | | nld | 371k | 10k | | jpn | 309k | 10k | | ita | 258k | 10k | | fas | 227k | 10k | | por | 209k | 10k | | pol | 193k | 10k | | swe | 159k | 10k | | tur | 145k | 10k | | ara | 143k | 10k | | dan | 138k | 10k | | zho | 132k | 10k | | vie | 124k | 10k | | ind | 111k | 10k | | kor | 102k | 10k | | hin | 100k | 10k | | fin | 73.5k | 7355 | | ces | 72.3k | 7231 | | ukr | 68.5k | 6851 | | nor | 63.2k | 6324 | | ron | 59.9k | 5990 | | tha | 47.4k | 4743 | | hun | 45.3k | 4530 | | heb | 39.0k | 3896 | | ell | 38.5k | 3852 | | bul | 34.7k | 3474 | | slk | 31.5k | 3153 | | lit | 18.4k | 1837 | | slv | 16.2k | 1617 | | ben | 14.3k | 1432 | | lav | 13.1k | 1312 | | est | 12.9k | 1290 | | cat | 12.7k | 1270 | | mar | 7404 | 741 | | msa | 6429 | 643 | | srp | 5824 | 583 | | hrv | 5545 | 555 | | aze | 4869 | 487 | | isl | 4778 | 478 | | tgl | 3697 | 370 | | kaz | 2995 | 300 | | urd | 2775 | 278 | | kat | 2405 | 241 | | sqi | 2077 | 208 | | uzb | 1263 | 127 |
NDCG@10 in % for three examplary multilingual embedding models | Embedding_Model | #_Params | ara | aze | ben | bul | cat | ces | dan | deu | ell | eng | est | fas | fin | fra | heb | hin | hrv | hun | ind | isl | ita | jpn | kat | kaz | kor | lav | lit | mar | msa | nld | nor | pol | por | ron | rus | slk | slv | spa | sqi | srp | swe | tgl | tha | tur | ukr | urd | uzb | vie | zho | |:----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | | [p-m-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) | 118M | 40.89 | 37.90 | 12.82 | 53.62 | 71.06 | 51.63 | 59.31 | 36.34 | 58.14 | 46.86 | 59.81 | 36.30 | 48.04 | 40.35 | 47.71 | 49.73 | 74.91 | 55.53 | 57.92 | 43.15 | 46.64 | 37.43 | 61.09 | 39.35 | 43.36 | 56.48 | 56.04 | 53.56 | 81.57 | 45.85 | 60.91 | 43.59 | 51.48 | 61.22 | 32.97 | 59.42 | 57.91 | 45.17 | 77.38 | 68.31 | 52.39 | 35.78 | 49.84 | 35.96 | 44.77 | 70.47 | 38.61 | 51.42 | 56.43 | | [m-E5-base](https://huggingface.co/intfloat/multilingual-e5-base) | 278M | 75.66 | 63.51 | 80.90 | 78.65 | 87.34 | 78.66 | 84.14 | 67.91 | 80.34 | 64.29 | 81.33 | 70.01 | 76.14 | 68.66 | 78.82 | 75.26 | 87.22 | 79.47 | 76.65 | 86.22 | 75.52 | 70.02 | 66.22 | 67.90 | 82.52 | 75.78 | 80.28 | 81.16 | 90.75 | 74.60 | 84.46 | 73.67 | 75.61 | 83.08 | 63.21 | 83.62 | 79.27 | 72.72 | 86.77 | 83.17 | 79.03 | 80.79 | 75.24 | 65.02 | 76.17 | 82.17 | 72.52 | 81.93 | 84.18 | | [jina-v3](https://huggingface.co/jinaai/jina-embeddings-v3) | 572M | 84.64 | 84.31 | 91.85 | 85.25 | 94.74 | 85.99 | 87.53 | 74.22 | 87.01 | 66.70 | 89.72 | 79.49 | 83.52 | 76.41 | 86.80 | 86.86 | 94.67 | 85.44 | 84.02 | 93.11 | 82.29 | 75.29 | 94.49 | 90.17 | 85.41 | 87.00 | 89.65 | 94.46 | 95.10 | 79.85 | 88.59 | 81.27 | 83.13 | 88.43 | 72.02 | 89.34 | 87.33 | 78.63 | 96.36 | 88.85 | 83.68 | 93.60 | 79.23 | 70.96 | 83.88 | 93.27 | 88.91 | 87.40 | 88.85 |
## Structure Unlike the raw Q&A dataset, **WebFAQ Retrieval** provides explicit **train/test splits** for each of the 49 languages. The general structure for each language is: - **Corpus**: A set of unique documents (answers) with IDs and text fields. - **Queries**: A set of question strings, each tied to a document ID for relevance. - **Qrels**: Relevance labels, mapping each question to its relevant document (corresponding answer). ### Folder Layout (e.g., for eng) ``` eng/ ├── corpus.jsonl # all unique documents (answers) ├── queries.jsonl # all queries for train/test ├── train.jsonl # relevance annotations for train └── test.jsonl # relevance annotations for test ``` ## Examples Below is a small snippet showing how to load English train/test sets with [🤗 Datasets](https://github.com/huggingface/datasets): ```python import json from datasets import load_dataset from tqdm import tqdm # Load train qrels train_qrels = load_dataset( "PaDaS-Lab/webfaq-retrieval", "eng-qrels", split="train" ) # Inspect first qrel print(json.dumps(train_qrels[0], indent=4)) # Load the corpus (answers) data_corpus = load_dataset( "PaDaS-Lab/webfaq-retrieval", "eng-corpus", split="corpus" ) corpus = { d["_id"]: {"title": d["title"], "text": d["text"]} for d in tqdm(data_corpus) } # Inspect first document print("Document:") print(json.dumps(corpus[train_qrels[0]["corpus-id"]], indent=4)) # Load all queries data_queries = load_dataset( "PaDaS-Lab/webfaq-retrieval", "eng-queries", split="queries" ) queries = { q["_id"]: q["text"] for q in tqdm(data_queries) } # Inspect first query print("Query:") print(json.dumps(queries[train_qrels[0]["query-id"]], indent=4)) # Keep only those queries with relevance annotations query_ids = set([q["query-id"] for q in train_qrels]) queries = { qid: query for qid, query in queries.items() if qid in query_ids } print(f"Number of queries: {len(queries)}") ``` Below is a code snippet showing how to evaluate retrieval performance using the `mteb` library: ```python from mteb import MTEB from mteb.tasks.Retrieval.multilingual.WebFAQRetrieval import WebFAQRetrieval # ... Load model ... # Load the WebFAQ task task = WebFAQRetrieval() eval_split = "test" evaluation = MTEB(tasks=[task]) evaluation.run( model, eval_splits=[eval_split], output_folder="output", overwrite_results=True ) ``` ## Considerations Please note the following considerations when using the collected QAs: - *[Q&A Dataset]* **Risk of Duplicate or Near-Duplicate Content**: The raw Q&A dataset is large and includes minor paraphrases. - *[Retrieval Dataset]* **Sparse Relevance**: As raw FAQ data, each question typically has one “best” (on-page) answer. Additional valid answers may exist on other websites but are not labeled as relevant. - **Language Detection Limitations**: Some QA pairs mix languages, or contain brand names, which can confuse automatic language classification. - **No Guarantee of Factual Accuracy**: Answers reflect the content of the source websites. They may include outdated, biased, or incorrect information. - **Copyright and Privacy**: Please ensure compliance with any applicable laws and the source website’s terms. ## License The **Collection of WebFAQ Datasets** is shared under [**Creative Commons Attribution 4.0 (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0/) license. > **Note**: The dataset is derived from public webpages in Common Crawl snapshots (2022–2024) and intended for **research purposes**. Each FAQ’s text is published by the original website under their terms. Downstream users should verify any usage constraints from the **original websites** as well as [Common Crawl’s Terms of Use](https://commoncrawl.org/terms-of-use/). ## Citation If you use this dataset in your research, please consider citing the associated paper: ```bibtex @misc{dinzinger2025webfaq, title={WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval}, author={Michael Dinzinger and Laura Caspari and Kanishka Ghosh Dastidar and Jelena Mitrović and Michael Granitzer}, year={2025}, eprint={2502.20936}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ## Contact For inquiries and feedback, please feel free to contact us via E-Mail ([michael.dinzinger@uni-passau.de](mailto:michael.dinzinger@uni-passau.de)) or start a discussion on HuggingFace or GitHub. ## Acknowledgement We thank the Common Crawl and Web Data Commons teams for providing the underlying data, and all contributors who helped shape the WebFAQ project. ### Thank you We hope the **Collection of WebFAQ Datasets** serves as a valuable resource for your research. Please consider citing it in any publications or projects that use it. If you encounter issues or want to contribute improvements, feel free to get in touch with us on HuggingFace or GitHub. Happy researching!