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The following tables give you an overview of the tasks in MTEB.
<details>
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| Name | Languages | Type | Category | Domains | # Samples | Avg. Length (Char.) |
|------|-----------|------|----------|---------|-----------|---------------------|
| [AFQMC](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [AILACasedocs](https://zenodo.org/records/4063986) | ['eng'] | Retrieval | p2p | [Legal] | | |
| [AILAStatutes](https://zenodo.org/records/4063986) | ['eng'] | Retrieval | p2p | [Legal] | | |
| [AJGT](https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66/) (Alomari et al., 2017) | ['ara'] | Classification | s2s | [Social] | {'train': 1800} | {'train': 46.81} |
| [ATEC](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [AfriSentiClassification](https://arxiv.org/abs/2302.08956) | ['amh', 'arq', 'ary', 'hau', 'ibo', 'kin', 'pcm', 'por', 'swa', 'tso', 'twi', 'yor'] | Classification | s2s | [Social] | {'test': 2048} | {'test': 74.77} |
| [AfriSentiLangClassification](https://huggingface.co/datasets/HausaNLP/afrisenti-lid-data/) | ['amh', 'arq', 'ary', 'hau', 'ibo', 'kin', 'pcm', 'por', 'swa', 'tso', 'twi', 'yor'] | Classification | s2s | [Social] | {'test': 5754} | {'test': 77.84} |
| [AllegroReviews](https://aclanthology.org/2020.acl-main.111.pdf) | ['pol'] | Classification | s2s | | {'test': 1006} | {'test': 477.2} |
| [AlloProfClusteringP2P.v2](https://huggingface.co/datasets/lyon-nlp/alloprof) (Lefebvre-Brossard et al., 2023) | ['fra'] | Clustering | p2p | [Encyclopaedic] | {'test': 2556} | {'test': 3539.5} |
| [AlloProfClusteringS2S.v2](https://huggingface.co/datasets/lyon-nlp/alloprof) (Lefebvre-Brossard et al., 2023) | ['fra'] | Clustering | s2s | [Encyclopaedic] | {'test': 2556} | {'test': 32.8} |
| [AlloprofReranking](https://huggingface.co/datasets/antoinelb7/alloprof) (Lefebvre-Brossard et al., 2023) | ['fra'] | Reranking | s2p | [Web, Academic] | {'test': 2316, 'train': 9264} | |
| [AlloprofRetrieval](https://huggingface.co/datasets/antoinelb7/alloprof) | ['fra'] | Retrieval | s2p | | | |
| [AmazonCounterfactualClassification](https://arxiv.org/abs/2104.06893) | ['deu', 'eng', 'jpn'] | Classification | s2s | [Reviews] | {'validation': 335, 'test': 670} | {'validation': 109.2, 'test': 106.1} |
| [AmazonPolarityClassification](https://huggingface.co/datasets/amazon_polarity) (Julian McAuley, 2013) | ['eng'] | Classification | s2s | [Reviews] | {'test': 400000} | {'test': 431.4} |
| [AmazonReviewsClassification](https://arxiv.org/abs/2010.02573) | ['cmn', 'deu', 'eng', 'fra', 'jpn', 'spa'] | Classification | s2s | | {'validation': 30000, 'test': 30000} | {'validation': 159.2, 'test': 160.4} |
| [AngryTweetsClassification](https://aclanthology.org/2021.nodalida-main.53/) (Pauli et al., 2021) | ['dan'] | Classification | s2s | [Social] | {'test': 1050} | {'test': 156.1} |
| [ArEntail](https://link.springer.com/article/10.1007/s10579-024-09731-1) (Obeidat et al., 2024) | ['ara'] | PairClassification | s2s | [News] | {'test': 1000} | {'test': 65.77} |
| [ArXivHierarchicalClusteringP2P](https://www.kaggle.com/Cornell-University/arxiv) | ['eng'] | Clustering | p2p | [Academic] | {'test': 2048} | {'test': 1009.98} |
| [ArXivHierarchicalClusteringS2S](https://www.kaggle.com/Cornell-University/arxiv) | ['eng'] | Clustering | p2p | [Academic] | {'test': 2048} | {'test': 1009.98} |
| [ArguAna](http://argumentation.bplaced.net/arguana/data) | ['eng'] | Retrieval | s2p | | | |
| [ArguAna-PL](https://huggingface.co/datasets/clarin-knext/arguana-pl) | ['pol'] | Retrieval | s2p | | | |
| [ArmenianParaphrasePC](https://github.com/ivannikov-lab/arpa-paraphrase-corpus) (Arthur Malajyan, 2020) | ['hye'] | PairClassification | s2s | [News] | {'train': 4023, 'test': 1470} | {'train': 243.81, 'test': 241.37} |
| [ArxivClassification](https://ieeexplore.ieee.org/document/8675939) (He et al., 2019) | ['eng'] | Classification | s2s | [Academic] | {'test': 2048} | |
| [AskUbuntuDupQuestions](https://github.com/taolei87/askubuntu) | ['eng'] | Reranking | s2s | | {'test': 2255} | {'test': 52.5} |
| [Assin2RTE](https://link.springer.com/chapter/10.1007/978-3-030-41505-1_39) (Real et al., 2020) | ['por'] | PairClassification | s2s | | {'test': 2448} | {'test': 53.55} |
| [Assin2STS](https://link.springer.com/chapter/10.1007/978-3-030-41505-1_39) (Real et al., 2020) | ['por'] | STS | s2s | | {'test': 2448} | {'test': 53.55} |
| [BIOSSES](https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html) | ['eng'] | STS | s2s | | | |
| [BQ](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [BSARDRetrieval](https://huggingface.co/datasets/maastrichtlawtech/bsard) | ['fra'] | Retrieval | s2p | | | |
| [BUCC.v2](https://comparable.limsi.fr/bucc2018/bucc2018-task.html) | ['cmn', 'deu', 'eng', 'fra', 'rus'] | BitextMining | s2s | | {'test': 641684} | {'test': 101.3} |
| [Banking77Classification](https://arxiv.org/abs/2003.04807) | ['eng'] | Classification | s2s | | {'test': 3080} | {'test': 54.2} |
| [BelebeleRetrieval](https://arxiv.org/abs/2308.16884) (Lucas Bandarkar, 2023) | ['acm', 'afr', 'als', 'amh', 'apc', 'arb', 'ars', 'ary', 'arz', 'asm', 'azj', 'bam', 'ben', 'bod', 'bul', 'cat', 'ceb', 'ces', 'ckb', 'dan', 'deu', 'ell', 'eng', 'est', 'eus', 'fin', 'fra', 'fuv', 'gaz', 'grn', 'guj', 'hat', 'hau', 'heb', 'hin', 'hrv', 'hun', 'hye', 'ibo', 'ilo', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kac', 'kan', 'kat', 'kaz', 'kea', 'khk', 'khm', 'kin', 'kir', 'kor', 'lao', 'lin', 'lit', 'lug', 'luo', 'lvs', 'mal', 'mar', 'mkd', 'mlt', 'mri', 'mya', 'nld', 'nob', 'npi', 'nso', 'nya', 'ory', 'pan', 'pbt', 'pes', 'plt', 'pol', 'por', 'ron', 'rus', 'shn', 'sin', 'slk', 'slv', 'sna', 'snd', 'som', 'sot', 'spa', 'srp', 'ssw', 'sun', 'swe', 'swh', 'tam', 'tel', 'tgk', 'tgl', 'tha', 'tir', 'tsn', 'tso', 'tur', 'ukr', 'urd', 'uzn', 'vie', 'war', 'wol', 'xho', 'yor', 'zho', 'zsm', 'zul'] | Retrieval | s2p | [Web, News] | {'test': 103500} | {'test': 568.0} |
| [BengaliDocumentClassification](https://aclanthology.org/2023.eacl-main.4) | ['ben'] | Classification | s2s | [News] | {'test': 2048} | {'test': 1658.1} |
| [BengaliHateSpeechClassification](https://huggingface.co/datasets/bn_hate_speech) (Karim et al., 2020) | ['ben'] | Classification | s2s | [News] | {'train': 3418} | {'train': 103.42} |
| [BengaliSentimentAnalysis](https://data.mendeley.com/datasets/p6zc7krs37/4) (Sazzed et al., 2020) | ['ben'] | Classification | s2s | [Reviews] | {'train': 11807} | {'train': 69.66} |
| [BibleNLPBitextMining](https://arxiv.org/abs/2304.09919) (Akerman et al., 2023) | ['aai', 'aak', 'aau', 'aaz', 'abt', 'abx', 'aby', 'acf', 'acr', 'acu', 'adz', 'aer', 'aey', 'agd', 'agg', 'agm', 'agn', 'agr', 'agt', 'agu', 'aia', 'aii', 'aka', 'ake', 'alp', 'alq', 'als', 'aly', 'ame', 'amf', 'amk', 'amm', 'amn', 'amo', 'amp', 'amr', 'amu', 'amx', 'anh', 'anv', 'aoi', 'aoj', 'aom', 'aon', 'apb', 'ape', 'apn', 'apr', 'apu', 'apw', 'apz', 'arb', 'are', 'arl', 'arn', 'arp', 'asm', 'aso', 'ata', 'atb', 'atd', 'atg', 'att', 'auc', 'aui', 'auy', 'avt', 'awb', 'awk', 'awx', 'azb', 'azg', 'azz', 'bao', 'bba', 'bbb', 'bbr', 'bch', 'bco', 'bdd', 'bea', 'bef', 'bel', 'ben', 'beo', 'beu', 'bgs', 'bgt', 'bhg', 'bhl', 'big', 'bjk', 'bjp', 'bjr', 'bjv', 'bjz', 'bkd', 'bki', 'bkq', 'bkx', 'blw', 'blz', 'bmh', 'bmk', 'bmr', 'bmu', 'bnp', 'boa', 'boj', 'bon', 'box', 'bpr', 'bps', 'bqc', 'bqp', 'bre', 'bsj', 'bsn', 'bsp', 'bss', 'buk', 'bus', 'bvd', 'bvr', 'bxh', 'byr', 'byx', 'bzd', 'bzh', 'bzj', 'caa', 'cab', 'cac', 'caf', 'cak', 'cao', 'cap', 'car', 'cav', 'cax', 'cbc', 'cbi', 'cbk', 'cbr', 'cbs', 'cbt', 'cbu', 'cbv', 'cco', 'ceb', 'cek', 'ces', 'cgc', 'cha', 'chd', 'chf', 'chk', 'chq', 'chz', 'cjo', 'cjv', 'ckb', 'cle', 'clu', 'cme', 'cmn', 'cni', 'cnl', 'cnt', 'cof', 'con', 'cop', 'cot', 'cpa', 'cpb', 'cpc', 'cpu', 'cpy', 'crn', 'crx', 'cso', 'csy', 'cta', 'cth', 'ctp', 'ctu', 'cub', 'cuc', 'cui', 'cuk', 'cut', 'cux', 'cwe', 'cya', 'daa', 'dad', 'dah', 'dan', 'ded', 'deu', 'dgc', 'dgr', 'dgz', 'dhg', 'dif', 'dik', 'dji', 'djk', 'djr', 'dob', 'dop', 'dov', 'dwr', 'dww', 'dwy', 'ebk', 'eko', 'emi', 'emp', 'eng', 'enq', 'epo', 'eri', 'ese', 'esk', 'etr', 'ewe', 'faa', 'fai', 'far', 'ffm', 'for', 'fra', 'fue', 'fuf', 'fuh', 'gah', 'gai', 'gam', 'gaw', 'gdn', 'gdr', 'geb', 'gfk', 'ghs', 'glk', 'gmv', 'gng', 'gnn', 'gnw', 'gof', 'grc', 'gub', 'guh', 'gui', 'guj', 'gul', 'gum', 'gun', 'guo', 'gup', 'gux', 'gvc', 'gvf', 'gvn', 'gvs', 'gwi', 'gym', 'gyr', 'hat', 'hau', 'haw', 'hbo', 'hch', 'heb', 'heg', 'hin', 'hix', 'hla', 'hlt', 'hmo', 'hns', 'hop', 'hot', 'hrv', 'hto', 'hub', 'hui', 'hun', 'hus', 'huu', 'huv', 'hvn', 'ian', 'ign', 'ikk', 'ikw', 'ilo', 'imo', 'inb', 'ind', 'ino', 'iou', 'ipi', 'isn', 'ita', 'iws', 'ixl', 'jac', 'jae', 'jao', 'jic', 'jid', 'jiv', 'jni', 'jpn', 'jvn', 'kan', 'kaq', 'kbc', 'kbh', 'kbm', 'kbq', 'kdc', 'kde', 'kdl', 'kek', 'ken', 'kew', 'kgf', 'kgk', 'kgp', 'khs', 'khz', 'kik', 'kiw', 'kiz', 'kje', 'kjs', 'kkc', 'kkl', 'klt', 'klv', 'kmg', 'kmh', 'kmk', 'kmo', 'kms', 'kmu', 'kne', 'knf', 'knj', 'knv', 'kos', 'kpf', 'kpg', 'kpj', 'kpr', 'kpw', 'kpx', 'kqa', 'kqc', 'kqf', 'kql', 'kqw', 'ksd', 'ksj', 'ksr', 'ktm', 'kto', 'kud', 'kue', 'kup', 'kvg', 'kvn', 'kwd', 'kwf', 'kwi', 'kwj', 'kyc', 'kyf', 'kyg', 'kyq', 'kyz', 'kze', 'lac', 'lat', 'lbb', 'lbk', 'lcm', 'leu', 'lex', 'lgl', 'lid', 'lif', 'lin', 'lit', 'llg', 'lug', 'luo', 'lww', 'maa', 'maj', 'mal', 'mam', 'maq', 'mar', 'mau', 'mav', 'maz', 'mbb', 'mbc', 'mbh', 'mbj', 'mbl', 'mbs', 'mbt', 'mca', 'mcb', 'mcd', 'mcf', 'mco', 'mcp', 'mcq', 'mcr', 'mdy', 'med', 'mee', 'mek', 'meq', 'met', 'meu', 'mgc', 'mgh', 'mgw', 'mhl', 'mib', 'mic', 'mie', 'mig', 'mih', 'mil', 'mio', 'mir', 'mit', 'miz', 'mjc', 'mkj', 'mkl', 'mkn', 'mks', 'mle', 'mlh', 'mlp', 'mmo', 'mmx', 'mna', 'mop', 'mox', 'mph', 'mpj', 'mpm', 'mpp', 'mps', 'mpt', 'mpx', 'mqb', 'mqj', 'msb', 'msc', 'msk', 'msm', 'msy', 'mti', 'mto', 'mux', 'muy', 'mva', 'mvn', 'mwc', 'mwe', 'mwf', 'mwp', 'mxb', 'mxp', 'mxq', 'mxt', 'mya', 'myk', 'myu', 'myw', 'myy', 'mzz', 'nab', 'naf', 'nak', 'nas', 'nbq', 'nca', 'nch', 'ncj', 'ncl', 'ncu', 'ndg', 'ndj', 'nfa', 'ngp', 'ngu', 'nhe', 'nhg', 'nhi', 'nho', 'nhr', 'nhu', 'nhw', 'nhy', 'nif', 'nii', 'nin', 'nko', 'nld', 'nlg', 'nna', 'nnq', 'noa', 'nop', 'not', 'nou', 'npi', 'npl', 'nsn', 'nss', 'ntj', 'ntp', 'ntu', 'nuy', 'nvm', 'nwi', 'nya', 'nys', 'nyu', 'obo', 'okv', 'omw', 'ong', 'ons', 'ood', 'opm', 'ory', 'ote', 'otm', 'otn', 'otq', 'ots', 'pab', 'pad', 'pah', 'pan', 'pao', 'pes', 'pib', 'pio', 'pir', 'piu', 'pjt', 'pls', 'plu', 'pma', 'poe', 'poh', 'poi', 'pol', 'pon', 'por', 'poy', 'ppo', 'prf', 'pri', 'ptp', 'ptu', 'pwg', 'qub', 'quc', 'quf', 'quh', 'qul', 'qup', 'qvc', 'qve', 'qvh', 'qvm', 'qvn', 'qvs', 'qvw', 'qvz', 'qwh', 'qxh', 'qxn', 'qxo', 'rai', 'reg', 'rgu', 'rkb', 'rmc', 'rmy', 'ron', 'roo', 'rop', 'row', 'rro', 'ruf', 'rug', 'rus', 'rwo', 'sab', 'san', 'sbe', 'sbk', 'sbs', 'seh', 'sey', 'sgb', 'sgz', 'shj', 'shp', 'sim', 'sja', 'sll', 'smk', 'snc', 'snn', 'snp', 'snx', 'sny', 'som', 'soq', 'soy', 'spa', 'spl', 'spm', 'spp', 'sps', 'spy', 'sri', 'srm', 'srn', 'srp', 'srq', 'ssd', 'ssg', 'ssx', 'stp', 'sua', 'sue', 'sus', 'suz', 'swe', 'swh', 'swp', 'sxb', 'tac', 'taj', 'tam', 'tav', 'taw', 'tbc', 'tbf', 'tbg', 'tbo', 'tbz', 'tca', 'tcs', 'tcz', 'tdt', 'tee', 'tel', 'ter', 'tet', 'tew', 'tfr', 'tgk', 'tgl', 'tgo', 'tgp', 'tha', 'tif', 'tim', 'tiw', 'tiy', 'tke', 'tku', 'tlf', 'tmd', 'tna', 'tnc', 'tnk', 'tnn', 'tnp', 'toc', 'tod', 'tof', 'toj', 'ton', 'too', 'top', 'tos', 'tpa', 'tpi', 'tpt', 'tpz', 'trc', 'tsw', 'ttc', 'tte', 'tuc', 'tue', 'tuf', 'tuo', 'tur', 'tvk', 'twi', 'txq', 'txu', 'tzj', 'tzo', 'ubr', 'ubu', 'udu', 'uig', 'ukr', 'uli', 'ulk', 'upv', 'ura', 'urb', 'urd', 'uri', 'urt', 'urw', 'usa', 'usp', 'uvh', 'uvl', 'vid', 'vie', 'viv', 'vmy', 'waj', 'wal', 'wap', 'wat', 'wbi', 'wbp', 'wed', 'wer', 'wim', 'wiu', 'wiv', 'wmt', 'wmw', 'wnc', 'wnu', 'wol', 'wos', 'wrk', 'wro', 'wrs', 'wsk', 'wuv', 'xav', 'xbi', 'xed', 'xla', 'xnn', 'xon', 'xsi', 'xtd', 'xtm', 'yaa', 'yad', 'yal', 'yap', 'yaq', 'yby', 'ycn', 'yka', 'yle', 'yml', 'yon', 'yor', 'yrb', 'yre', 'yss', 'yuj', 'yut', 'yuw', 'yva', 'zaa', 'zab', 'zac', 'zad', 'zai', 'zaj', 'zam', 'zao', 'zap', 'zar', 'zas', 'zat', 'zav', 'zaw', 'zca', 'zga', 'zia', 'ziw', 'zlm', 'zos', 'zpc', 'zpl', 'zpm', 'zpo', 'zpq', 'zpu', 'zpv', 'zpz', 'zsr', 'ztq', 'zty', 'zyp'] | BitextMining | s2s | [Religious] | {'train': 256} | {'train': 120.0} |
| [BigPatentClustering.v2](https://huggingface.co/datasets/NortheasternUniversity/big_patent) (Eva Sharma and Chen Li and Lu Wang, 2019) | ['eng'] | Clustering | p2p | [Legal] | {'test': 2048} | {'test': 30995.5} |
| [BiorxivClusteringP2P.v2](https://api.biorxiv.org/) | ['eng'] | Clustering | p2p | [Academic] | {'test': 2048} | {'test': 1664.0} |
| [BiorxivClusteringS2S.v2](https://api.biorxiv.org/) | ['eng'] | Clustering | s2s | [Academic] | {'test': 2048} | {'test': 101.7} |
| [BlurbsClusteringP2P.v2](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/germeval-2019-hmc.html) (Steffen Remus, 2019) | ['deu'] | Clustering | p2p | [Fiction] | {'test': 2048} | {'test': 664.09} |
| [BlurbsClusteringS2S.v2](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/germeval-2019-hmc.html) (Steffen Remus, 2019) | ['deu'] | Clustering | s2s | [Fiction] | {'test': 2048} | {'test': 23.02} |
| [BornholmBitextMining](https://aclanthology.org/W19-6138/) | ['dan'] | BitextMining | s2s | [Web, Social, Fiction] | {'test': 500} | {'test': 89.7} |
| [BrazilianToxicTweetsClassification](https://paperswithcode.com/dataset/told-br) (Joao Augusto Leite and Diego F. Silva and Kalina Bontcheva and Carolina Scarton, 2020) | ['por'] | MultilabelClassification | s2s | [Constructed] | {'test': 2048} | {'test': 85.05} |
| [BulgarianStoreReviewSentimentClassfication](https://doi.org/10.7910/DVN/TXIK9P) (Georgieva-Trifonova et al., 2018) | ['bul'] | Classification | s2s | [Reviews] | {'test': 182} | {'test': 316.7} |
| [CBD](http://2019.poleval.pl/files/poleval2019.pdf) | ['pol'] | Classification | s2s | | {'test': 1000} | {'test': 93.2} |
| [CDSC-E](https://aclanthology.org/P17-1073.pdf) | ['pol'] | PairClassification | s2s | | | |
| [CDSC-R](https://aclanthology.org/P17-1073.pdf) | ['pol'] | STS | s2s | [Web] | {'test': 1000} | {'test': 75.24} |
| [CLSClusteringP2P.v2](https://arxiv.org/abs/2209.05034) (Yudong Li, 2022) | ['cmn'] | Clustering | p2p | [Academic] | {'test': 2048} | |
| [CLSClusteringS2S.v2](https://arxiv.org/abs/2209.05034) (Yudong Li, 2022) | ['cmn'] | Clustering | s2s | [Academic] | {'test': 2048} | |
| [CMedQAv1-reranking](https://github.com/zhangsheng93/cMedQA) | ['cmn'] | Reranking | s2s | | | |
| [CMedQAv2-reranking](https://github.com/zhangsheng93/cMedQA2) | ['cmn'] | Reranking | s2s | | | |
| [CQADupstackAndroidRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackEnglishRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackGamingRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackGisRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackMathematicaRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackPhysicsRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackProgrammersRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackStatsRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackTexRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackUnixRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackWebmastersRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CQADupstackWordpressRetrieval](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/) | ['eng'] | Retrieval | s2p | | | |
| [CSFDCZMovieReviewSentimentClassification](https://arxiv.org/abs/2304.01922) (Michal Štefánik, 2023) | ['ces'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 386.5} |
| [CSFDSKMovieReviewSentimentClassification](https://arxiv.org/abs/2304.01922) (Michal Štefánik, 2023) | ['slk'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 366.2} |
| [CTKFactsNLI](https://arxiv.org/abs/2201.11115) (Ullrich et al., 2023) | ['ces'] | PairClassification | s2s | [News] | {'test': 375, 'validation': 305} | {'test': 225.62, 'validation': 219.32} |
| [CUADAffiliateLicenseLicenseeLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 198} | {'test': 484.11} |
| [CUADAffiliateLicenseLicensorLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 88} | {'test': 633.4} |
| [CUADAntiAssignmentLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1172} | {'test': 340.81} |
| [CUADAuditRightsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1216} | {'test': 337.14} |
| [CUADCapOnLiabilityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1246} | {'test': 375.74} |
| [CUADChangeOfControlLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 416} | {'test': 391.96} |
| [CUADCompetitiveRestrictionExceptionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 220} | {'test': 433.04} |
| [CUADCovenantNotToSueLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 308} | {'test': 402.97} |
| [CUADEffectiveDateLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 236} | {'test': 277.62} |
| [CUADExclusivityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 762} | {'test': 369.17} |
| [CUADExpirationDateLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 876} | {'test': 309.27} |
| [CUADGoverningLawLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 876} | {'test': 289.87} |
| [CUADIPOwnershipAssignmentLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 576} | {'test': 414.0} |
| [CUADInsuranceLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1030} | {'test': 365.54} |
| [CUADIrrevocableOrPerpetualLicenseLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 280} | {'test': 473.4} |
| [CUADJointIPOwnershipLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 192} | {'test': 374.17} |
| [CUADLicenseGrantLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1396} | {'test': 409.89} |
| [CUADLiquidatedDamagesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 220} | {'test': 351.76} |
| [CUADMinimumCommitmentLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 772} | {'test': 364.16} |
| [CUADMostFavoredNationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 64} | {'test': 418.75} |
| [CUADNoSolicitOfCustomersLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 84} | {'test': 392.89} |
| [CUADNoSolicitOfEmployeesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 142} | {'test': 417.94} |
| [CUADNonCompeteLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 442} | {'test': 383.2} |
| [CUADNonDisparagementLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 100} | {'test': 403.08} |
| [CUADNonTransferableLicenseLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 542} | {'test': 399.16} |
| [CUADNoticePeriodToTerminateRenewalLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 222} | {'test': 354.85} |
| [CUADPostTerminationServicesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 808} | {'test': 422.53} |
| [CUADPriceRestrictionsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 46} | {'test': 324.71} |
| [CUADRenewalTermLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 386} | {'test': 340.87} |
| [CUADRevenueProfitSharingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 774} | {'test': 371.55} |
| [CUADRofrRofoRofnLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 690} | {'test': 395.46} |
| [CUADSourceCodeEscrowLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 118} | {'test': 399.18} |
| [CUADTerminationForConvenienceLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 430} | {'test': 326.3} |
| [CUADThirdPartyBeneficiaryLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 68} | {'test': 261.04} |
| [CUADUncappedLiabilityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 294} | {'test': 441.04} |
| [CUADUnlimitedAllYouCanEatLicenseLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 48} | {'test': 368.08} |
| [CUADVolumeRestrictionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 322} | {'test': 306.27} |
| [CUADWarrantyDurationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 320} | {'test': 352.27} |
| [CanadaTaxCourtOutcomesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 244} | {'test': 622.6} |
| [CataloniaTweetClassification](https://aclanthology.org/2020.lrec-1.171/) | ['cat', 'spa'] | Classification | s2s | [Social, Government] | {'validation': 2000, 'test': 2000} | {'validation': 202.61, 'test': 200.49} |
| [ClimateFEVER](https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html) | ['eng'] | Retrieval | s2p | | | |
| [CmedqaRetrieval](https://aclanthology.org/2022.emnlp-main.357.pdf) | ['cmn'] | Retrieval | s2p | | | |
| [Cmnli](https://huggingface.co/datasets/clue/viewer/cmnli) | ['cmn'] | PairClassification | s2s | | | |
| [CodeEditSearchRetrieval](https://huggingface.co/datasets/cassanof/CodeEditSearch/viewer) (Niklas Muennighoff, 2023) | ['c', 'c++', 'go', 'java', 'javascript', 'php', 'python', 'ruby', 'rust', 'scala', 'shell', 'swift', 'typescript'] | Retrieval | p2p | [Programming] | {'train': 13000} | {'train': 553.5} |
| [CodeSearchNetRetrieval](https://huggingface.co/datasets/code_search_net/viewer) (Husain et al., 2019) | ['go', 'java', 'javascript', 'php', 'python', 'ruby'] | Retrieval | p2p | [Programming] | {'test': 1000} | {'test': 1196.4609} |
| [ContractNLIConfidentialityOfAgreementLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 82} | {'test': 473.17} |
| [ContractNLIExplicitIdentificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 109} | {'test': 506.12} |
| [ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 139} | {'test': 525.75} |
| [ContractNLILimitedUseLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 208} | {'test': 407.51} |
| [ContractNLINoLicensingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 162} | {'test': 419.42} |
| [ContractNLINoticeOnCompelledDisclosureLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 142} | {'test': 503.45} |
| [ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 178} | {'test': 427.4} |
| [ContractNLIPermissibleCopyLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 87} | {'test': 386.84} |
| [ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 136} | {'test': 396.4} |
| [ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 111} | {'test': 529.09} |
| [ContractNLIReturnOfConfidentialInformationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 66} | {'test': 478.29} |
| [ContractNLISharingWithEmployeesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 170} | {'test': 548.63} |
| [ContractNLISharingWithThirdPartiesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 180} | {'test': 517.29} |
| [ContractNLISurvivalOfObligationsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 157} | {'test': 417.64} |
| [Core17InstructionRetrieval](https://arxiv.org/abs/2403.15246) (Orion Weller, 2024) | ['eng'] | InstructionRetrieval | s2p | [News] | {'eng': 39838} | {'eng': 2768.749235474006} |
| [CorporateLobbyingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 490} | {'test': 6039.85} |
| [CovidRetrieval](https://arxiv.org/abs/2203.03367) | ['cmn'] | Retrieval | s2p | | | |
| [CrossLingualSemanticDiscriminationWMT19](https://huggingface.co/datasets/Andrianos/clsd_wmt19_21) | ['deu', 'fra'] | Retrieval | s2s | [News] | {'test': 2946} | {'test': 161.0} |
| [CrossLingualSemanticDiscriminationWMT21](https://huggingface.co/datasets/Andrianos/clsd_wmt19_21) | ['deu', 'fra'] | Retrieval | s2s | [News] | {'test': 1786} | {'test': 159.0} |
| [CyrillicTurkicLangClassification](https://huggingface.co/datasets/tatiana-merz/cyrillic_turkic_langs) (Goldhahn et al., 2012) | ['bak', 'chv', 'kaz', 'kir', 'krc', 'rus', 'sah', 'tat', 'tyv'] | Classification | s2s | [Web] | {'test': 2048} | {'test': 92.22} |
| [CzechProductReviewSentimentClassification](https://aclanthology.org/W13-1609/) | ['ces'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 153.26} |
| [CzechSoMeSentimentClassification](https://aclanthology.org/W13-1609/) | ['ces'] | Classification | s2s | [Reviews] | {'test': 1000} | {'test': 59.89} |
| [CzechSubjectivityClassification](https://arxiv.org/abs/2009.08712) | ['ces'] | Classification | s2s | [Reviews] | {'validation': 500, 'test': 2000} | {'validation': 108.2, 'test': 108.3} |
| [DBPedia](https://github.com/iai-group/DBpedia-Entity/) | ['eng'] | Retrieval | s2p | | | |
| [DBPedia-PL](https://github.com/iai-group/DBpedia-Entity/) | ['pol'] | Retrieval | s2p | | | |
| [DBpediaClassification](https://arxiv.org/abs/1509.01626) (Zhang et al., 2015) | ['eng'] | Classification | s2s | [Encyclopaedic] | {'test': 70000} | {'test': 281.4} |
| [DKHateClassification](https://aclanthology.org/2020.lrec-1.430/) | ['dan'] | Classification | s2s | [Social] | {'test': 329} | {'test': 104.0} |
| [DalajClassification](https://spraakbanken.gu.se/en/resources/superlim) | ['swe'] | Classification | s2s | [Non-fiction] | {'test': 444} | {'test': 243.8} |
| [DanFEVER](https://aclanthology.org/2021.nodalida-main.47/) | ['dan'] | Retrieval | p2p | [Encyclopaedic, Non-fiction] | {'train': 8897} | {'train': 124.84} |
| [DanishPoliticalCommentsClassification](https://huggingface.co/datasets/danish_political_comments) | ['dan'] | Classification | s2s | [Social] | {'train': 9010} | {'train': 69.9} |
| [DefinitionClassificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1337} | {'test': 253.72} |
| [DiaBlaBitextMining](https://inria.hal.science/hal-03021633) (González et al., 2019) | ['eng', 'fra'] | BitextMining | s2s | [Social] | | |
| [Diversity1LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 103.21} |
| [Diversity2LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 0.0} |
| [Diversity3LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 135.46} |
| [Diversity4LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 144.52} |
| [Diversity5LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 174.77} |
| [Diversity6LegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 300} | {'test': 301.01} |
| [DuRetrieval](https://aclanthology.org/2022.emnlp-main.357.pdf) | ['cmn'] | Retrieval | s2p | | | |
| [DutchBookReviewSentimentClassification](https://github.com/benjaminvdb/DBRD) (Benjamin et al., 2019) | ['nld'] | Classification | s2s | [Reviews] | {'test': 2224} | {'test': 1443.0} |
| [EcomRetrieval](https://arxiv.org/abs/2203.03367) | ['cmn'] | Retrieval | s2p | | | |
| [EightTagsClustering.v2](https://aclanthology.org/2020.lrec-1.207.pdf) | ['pol'] | Clustering | s2s | [Social] | {'test': 2048} | {'test': 78.73} |
| [EmotionClassification](https://www.aclweb.org/anthology/D18-1404) | ['eng'] | Classification | s2s | [Social] | {'validation': 2000, 'test': 2000} | {'validation': 95.3, 'test': 95.6} |
| [EstQA](https://www.semanticscholar.org/paper/Extractive-Question-Answering-for-Estonian-Language-182912IAPM-Alum%C3%A4e/ea4f60ab36cadca059c880678bc4c51e293a85d6?utm_source=direct_link) | ['est'] | Retrieval | s2p | [Encyclopaedic] | {'test': 603} | {'test': 772.5331950207469} |
| [EstonianValenceClassification](https://figshare.com/articles/dataset/Estonian_Valence_Corpus_Eesti_valentsikorpus/24517054) | ['est'] | Classification | s2s | [News] | {'train': 3270, 'test': 818} | {'train': 226.70642201834863, 'test': 231.5085574572127} |
| [FEVER](https://fever.ai/) | ['eng'] | Retrieval | s2p | | | |
| [FQuADRetrieval](https://huggingface.co/datasets/manu/fquad2_test) | ['fra'] | Retrieval | s2p | [Encyclopaedic] | {'test': 400, 'validation': 100} | {'test': 937.0, 'validation': 930.0} |
| [FalseFriendsGermanEnglish](https://drive.google.com/file/d/1jgq0nBnV-UiYNxbKNrrr2gxDEHm-DMKH/view?usp=share_link) | ['deu'] | PairClassification | s2s | | {'test': 1524} | {'test': 40.3} |
| [FaroeseSTS](https://aclanthology.org/2023.nodalida-1.74.pdf) | ['fao'] | STS | s2s | [News, Web] | {'train': 729} | {'train': 43.6} |
| [FarsTail](https://link.springer.com/article/10.1007/s00500-023-08959-3) (Amirkhani et al., 2023) | ['fas'] | PairClassification | s2s | [Academic] | {'test': 1029} | {'test': 125.84} |
| [FiQA-PL](https://sites.google.com/view/fiqa/) | ['pol'] | Retrieval | s2p | | | |
| [FiQA2018](https://sites.google.com/view/fiqa/) | ['eng'] | Retrieval | s2p | | | |
| [FilipinoHateSpeechClassification](https://pcj.csp.org.ph/index.php/pcj/issue/download/29/PCJ%20V14%20N1%20pp1-14%202019) (Neil Vicente Cabasag et al., 2019) | ['fil'] | Classification | s2s | [Social] | {'validation': 2048, 'test': 2048} | {'validation': 88.1, 'test': 87.4} |
| [FilipinoShopeeReviewsClassification](https://uijrt.com/articles/v4/i8/UIJRTV4I80009.pdf) | ['fil'] | Classification | s2s | [Social] | {'validation': 2250, 'test': 2250} | {'validation': 143.8, 'test': 145.1} |
| [FinParaSTS](https://huggingface.co/datasets/TurkuNLP/turku_paraphrase_corpus) | ['fin'] | STS | s2s | [News, Subtitles] | {'test': 1000, 'validation': 1000} | {'test': 59.0, 'validation': 58.8} |
| [FinToxicityClassification](https://aclanthology.org/2023.nodalida-1.68) | ['fin'] | Classification | s2s | [News] | {'train': 2048, 'test': 2048} | {'train': 432.63, 'test': 401.03} |
| [FinancialPhrasebankClassification](https://arxiv.org/abs/1307.5336) (P. Malo, 2014) | ['eng'] | Classification | s2s | [News] | {'train': 4840} | {'train': 121.96} |
| [FloresBitextMining](https://huggingface.co/datasets/facebook/flores) (Goyal et al., 2022) | ['ace', 'acm', 'acq', 'aeb', 'afr', 'ajp', 'aka', 'als', 'amh', 'apc', 'arb', 'ars', 'ary', 'arz', 'asm', 'ast', 'awa', 'ayr', 'azb', 'azj', 'bak', 'bam', 'ban', 'bel', 'bem', 'ben', 'bho', 'bjn', 'bod', 'bos', 'bug', 'bul', 'cat', 'ceb', 'ces', 'cjk', 'ckb', 'crh', 'cym', 'dan', 'deu', 'dik', 'dyu', 'dzo', 'ell', 'eng', 'epo', 'est', 'eus', 'ewe', 'fao', 'fij', 'fin', 'fon', 'fra', 'fur', 'fuv', 'gaz', 'gla', 'gle', 'glg', 'grn', 'guj', 'hat', 'hau', 'heb', 'hin', 'hne', 'hrv', 'hun', 'hye', 'ibo', 'ilo', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kab', 'kac', 'kam', 'kan', 'kas', 'kat', 'kaz', 'kbp', 'kea', 'khk', 'khm', 'kik', 'kin', 'kir', 'kmb', 'kmr', 'knc', 'kon', 'kor', 'lao', 'lij', 'lim', 'lin', 'lit', 'lmo', 'ltg', 'ltz', 'lua', 'lug', 'luo', 'lus', 'lvs', 'mag', 'mai', 'mal', 'mar', 'min', 'mkd', 'mlt', 'mni', 'mos', 'mri', 'mya', 'nld', 'nno', 'nob', 'npi', 'nso', 'nus', 'nya', 'oci', 'ory', 'pag', 'pan', 'pap', 'pbt', 'pes', 'plt', 'pol', 'por', 'prs', 'quy', 'ron', 'run', 'rus', 'sag', 'san', 'sat', 'scn', 'shn', 'sin', 'slk', 'slv', 'smo', 'sna', 'snd', 'som', 'sot', 'spa', 'srd', 'srp', 'ssw', 'sun', 'swe', 'swh', 'szl', 'tam', 'taq', 'tat', 'tel', 'tgk', 'tgl', 'tha', 'tir', 'tpi', 'tsn', 'tso', 'tuk', 'tum', 'tur', 'twi', 'tzm', 'uig', 'ukr', 'umb', 'urd', 'uzn', 'vec', 'vie', 'war', 'wol', 'xho', 'ydd', 'yor', 'yue', 'zho', 'zsm', 'zul'] | BitextMining | s2s | [Non-fiction, Encyclopaedic] | {'dev': 997, 'devtest': 1012} | |
| [FrenchBookReviews](https://huggingface.co/datasets/Abirate/french_book_reviews) | ['fra'] | Classification | s2s | [Reviews] | {'train': 2048} | {'train': 311.5} |
| [FrenkEnClassification](https://arxiv.org/abs/1906.02045) (Nikola Ljubešić, 2019) | ['eng'] | Classification | s2s | [Social] | {'test': 2300} | {'test': 188.75} |
| [FrenkHrClassification](https://arxiv.org/abs/1906.02045) (Nikola Ljubešić, 2019) | ['hrv'] | Classification | s2s | [Social] | {'test': 2120} | {'test': 89.86} |
| [FrenkSlClassification](https://arxiv.org/pdf/1906.02045) (Nikola Ljubešić, 2019) | ['slv'] | Classification | s2s | [Social] | {'test': 2177} | {'test': 136.61} |
| [FunctionOfDecisionSectionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 367} | {'test': 551.07} |
| [GeorgianFAQRetrieval](https://huggingface.co/datasets/jupyterjazz/georgian-faq) | ['kat'] | Retrieval | s2p | [Web] | {'test': 2566} | {'test': 572.0} |
| [GerDaLIR](https://github.com/lavis-nlp/GerDaLIR) | ['deu'] | Retrieval | s2p | | | |
| [GerDaLIRSmall](https://github.com/lavis-nlp/GerDaLIR) | ['deu'] | Retrieval | p2p | [Legal] | | |
| [GermanDPR](https://huggingface.co/datasets/deepset/germandpr) | ['deu'] | Retrieval | s2p | | | |
| [GermanGovServiceRetrieval](https://huggingface.co/datasets/it-at-m/LHM-Dienstleistungen-QA) | ['deu'] | Retrieval | s2p | [Government] | {'test': 357} | {'test': 1211.69} |
| [GermanPoliticiansTwitterSentimentClassification](https://aclanthology.org/2022.konvens-1.9) | ['deu'] | Classification | s2s | [Social, Government] | {'test': 357} | {'test': 302.48} |
| [GermanQuAD-Retrieval](https://www.kaggle.com/datasets/GermanQuAD) | ['deu'] | Retrieval | s2p | | | |
| [GermanSTSBenchmark](https://github.com/t-systems-on-site-services-gmbh/german-STSbenchmark) | ['deu'] | STS | s2s | | | |
| [GreekCivicsQA](https://huggingface.co/datasets/antoinelb7/alloprof) | ['ell'] | Retrieval | s2p | [Academic] | {'default': 407} | {'default': 2226.85} |
| [GreekLegalCodeClassification](https://arxiv.org/abs/2109.15298) | ['ell'] | Classification | s2s | [Legal] | {'validation': 2048, 'test': 2048} | {'validation': 4046.8, 'test': 4200.8} |
| [GujaratiNewsClassification](https://github.com/goru001/nlp-for-gujarati) | ['guj'] | Classification | s2s | [News] | {'train': 5269, 'test': 1318} | {'train': 61.95, 'test': 61.91} |
| [HALClusteringS2S.v2](https://huggingface.co/datasets/lyon-nlp/clustering-hal-s2s) | ['fra'] | Clustering | s2s | [Academic] | {'test': 2048} | {'test': 86.6} |
| [HagridRetrieval](https://github.com/project-miracl/hagrid) | ['eng'] | Retrieval | s2p | | | |
| [HateSpeechPortugueseClassification](https://aclanthology.org/W19-3510) | ['por'] | Classification | s2s | [Social] | {'train': 2048} | {'train': 101.02} |
| [HebrewSentimentAnalysis](https://huggingface.co/datasets/hebrew_sentiment) | ['heb'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 113.57} |
| [HinDialectClassification](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-4839) (Bafna et al., 2022) | ['anp', 'awa', 'ben', 'bgc', 'bhb', 'bhd', 'bho', 'bjj', 'bns', 'bra', 'gbm', 'guj', 'hne', 'kfg', 'kfy', 'mag', 'mar', 'mup', 'noe', 'pan', 'raj'] | Classification | s2s | [Social, Spoken] | {'test': 1152} | {'test': 583.82} |
| [HindiDiscourseClassification](https://aclanthology.org/2020.lrec-1.149/) | ['hin'] | Classification | s2s | [Fiction, Social] | {'train': 2048} | {'train': 79.23828125} |
| [HotelReviewSentimentClassification](https://link.springer.com/chapter/10.1007/978-3-319-67056-0_3) (Elnagar et al., 2018) | ['ara'] | Classification | s2s | [Reviews] | {'train': 2048} | {'train': 137.2} |
| [HotpotQA](https://hotpotqa.github.io/) | ['eng'] | Retrieval | s2p | | | |
| [HotpotQA-PL](https://hotpotqa.github.io/) | ['pol'] | Retrieval | s2p | | | |
| [HunSum2AbstractiveRetrieval](https://arxiv.org/abs/2404.03555) (Botond Barta, 2024) | ['hun'] | Retrieval | s2p | [News] | {'test': 1998} | {'test': 2462.2177177177177} |
| [IFlyTek](https://www.cluebenchmarks.com/introduce.html) | ['cmn'] | Classification | s2s | | | |
| [IN22ConvBitextMining](https://huggingface.co/datasets/ai4bharat/IN22-Conv) (Jay Gala, 2023) | ['asm', 'ben', 'brx', 'doi', 'eng', 'gom', 'guj', 'hin', 'kan', 'kas', 'mai', 'mal', 'mar', 'mni', 'npi', 'ory', 'pan', 'san', 'sat', 'snd', 'tam', 'tel', 'urd'] | BitextMining | s2s | [Social, Spoken, Fiction] | {'test': 1503} | {'test': 54.3} |
| [IN22GenBitextMining](https://huggingface.co/datasets/ai4bharat/IN22-Gen) (Jay Gala, 2023) | ['asm', 'ben', 'brx', 'doi', 'eng', 'gom', 'guj', 'hin', 'kan', 'kas', 'mai', 'mal', 'mar', 'mni', 'npi', 'ory', 'pan', 'san', 'sat', 'snd', 'tam', 'tel', 'urd'] | BitextMining | s2s | [Web, Legal, Government, News, Religious, Non-fiction] | {'test': 1024} | {'test': 156.7} |
| [IWSLT2017BitextMining](https://aclanthology.org/2017.iwslt-1.1/) | ['ara', 'cmn', 'deu', 'eng', 'fra', 'ita', 'jpn', 'kor', 'nld', 'ron'] | BitextMining | s2s | [Non-fiction, Fiction] | {'validation': 21928} | {'validation': 95.4} |
| [ImdbClassification](http://www.aclweb.org/anthology/P11-1015) | ['eng'] | Classification | p2p | [Reviews] | {'test': 25000} | {'test': 1293.8} |
| [IndicCrosslingualSTS](https://huggingface.co/datasets/jaygala24/indic_sts) (Ramesh et al., 2022) | ['asm', 'ben', 'eng', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel', 'urd'] | STS | s2s | [News, Non-fiction, Web, Spoken, Government] | {'test': 10020} | {'test': 76.22} |
| [IndicGenBenchFloresBitextMining](https://github.com/google-research-datasets/indic-gen-bench/) (Harman Singh, 2024) | ['asm', 'awa', 'ben', 'bgc', 'bho', 'bod', 'boy', 'eng', 'gbm', 'gom', 'guj', 'hin', 'hne', 'kan', 'mai', 'mal', 'mar', 'mni', 'mup', 'mwr', 'nep', 'ory', 'pan', 'pus', 'raj', 'san', 'sat', 'tam', 'tel', 'urd'] | BitextMining | s2s | [Web, News] | {'validation': 997, 'test': 1012} | {'validation': 126.25, 'test': 130.84} |
| [IndicLangClassification](https://arxiv.org/abs/2305.15814) | ['asm', 'ben', 'brx', 'doi', 'gom', 'guj', 'hin', 'kan', 'kas', 'mai', 'mal', 'mar', 'mni', 'npi', 'ory', 'pan', 'san', 'sat', 'snd', 'tam', 'tel', 'urd'] | Classification | s2s | [Web, Non-fiction] | {'test': 30418} | {'test': 106.5} |
| [IndicNLPNewsClassification](https://github.com/AI4Bharat/indicnlp_corpus#indicnlp-news-article-classification-dataset) (Anoop Kunchukuttan, 2020) | ['guj', 'kan', 'mal', 'mar', 'ori', 'pan', 'tam', 'tel'] | Classification | s2s | [News] | {'test': 2048} | {'test': 1169.053974484789} |
| [IndicQARetrieval](https://arxiv.org/abs/2212.05409) (Sumanth Doddapaneni, 2022) | ['asm', 'ben', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel'] | Retrieval | s2p | [Web] | {'test': 18586} | {'test': 930.6} |
| [IndicReviewsClusteringP2P](https://arxiv.org/abs/2212.05409) (Sumanth Doddapaneni, 2022) | ['asm', 'ben', 'brx', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel', 'urd'] | Clustering | p2p | [Reviews] | {'test': 1000} | {'test': 137.6} |
| [IndicSentimentClassification](https://arxiv.org/abs/2212.05409) (Sumanth Doddapaneni, 2022) | ['asm', 'ben', 'brx', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel', 'urd'] | Classification | s2s | [Reviews] | {'test': 1000} | {'test': 137.6} |
| [IndonesianIdClickbaitClassification](http://www.sciencedirect.com/science/article/pii/S2352340920311252) | ['ind'] | Classification | s2s | [News] | {'train': 2048} | {'train': 64.28} |
| [IndonesianMongabayConservationClassification](https://aclanthology.org/2023.sealp-1.4/) | ['ind'] | Classification | s2s | [Web] | {'validation': 984, 'test': 970} | {'validation': 1675.8, 'test': 1675.5} |
| [InsurancePolicyInterpretationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 133} | {'test': 521.88} |
| [InternationalCitizenshipQuestionsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 206.18} |
| [IsiZuluNewsClassification](https://huggingface.co/datasets/dsfsi/za-isizulu-siswati-news) (Madodonga et al., 2023) | ['zul'] | Classification | s2s | [News] | {'train': 752} | {'train': 43.1} |
| [ItaCaseholdClassification](https://doi.org/10.1145/3594536.3595177) (Licari et al., 2023) | ['ita'] | Classification | s2s | [Legal, Government] | {'test': 221} | {'test': 4207.9} |
| [Itacola](https://aclanthology.org/2021.findings-emnlp.250/) | ['ita'] | Classification | s2s | [Non-fiction, Spoken] | {'train': 7801, 'test': 975} | {'train': 35.95, 'test': 36.67} |
| [JCrewBlockerLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 54} | {'test': 1092.22} |
| [JDReview](https://aclanthology.org/2023.nodalida-1.20/) | ['cmn'] | Classification | s2s | | | |
| [JSICK](https://github.com/sbintuitions/JMTEB) (Yanaka et al., 2022) | ['jpn'] | STS | s2s | [Web] | {'test': 1986} | {'test': 21.47} |
| [JSTS](https://aclanthology.org/2022.lrec-1.317.pdf#page=2.00) | ['jpn'] | STS | s2s | [Web] | {'valudtion': 1457} | {'valudtion': 46.34} |
| [JaQuADRetrieval](https://arxiv.org/abs/2202.01764) (ByungHoon So, 2022) | ['jpn'] | Retrieval | p2p | [Encyclopaedic, Non-fiction] | {'validation': 2048} | {'validation': 400.75} |
| [JavaneseIMDBClassification](https://github.com/w11wo/nlp-datasets#javanese-imdb) (Wongso et al., 2021) | ['jav'] | Classification | s2s | [Reviews] | {'test': 25000} | {'test': 481.83} |
| [KLUE-NLI](https://arxiv.org/abs/2105.09680) (Sungjoon Park, 2021) | ['kor'] | PairClassification | s2s | [News, Encyclopaedic] | {'validation': 2000} | {'validation': 35.01} |
| [KLUE-STS](https://arxiv.org/abs/2105.09680) (Sungjoon Park, 2021) | ['kor'] | STS | s2s | [Reviews, News, Spoken] | {'validation': 519} | {'validation': 33.178227360308284} |
| [KLUE-TC](https://arxiv.org/abs/2105.09680) (Sungjoon Park, 2021) | ['kor'] | Classification | s2s | [News] | {'validation': 2048} | {'validation': 27.079609091907326} |
| [KannadaNewsClassification](https://github.com/goru001/nlp-for-kannada) | ['kan'] | Classification | s2s | [News] | {'train': 6460} | {'train': 65.88} |
| Ko-StrategyQA | ['kor'] | Retrieval | s2p | | | |
| Ko-miracl | ['kor'] | Retrieval | s2p | | | |
| [KorFin](https://huggingface.co/datasets/amphora/korfin-asc) (Son et al., 2023) | ['kor'] | Classification | s2s | [News] | {'test': 2048} | {'test': 75.28} |
| [KorHateClassification](https://paperswithcode.com/dataset/korean-hatespeech-dataset) (Jihyung Moon, 2020) | ['kor'] | Classification | s2s | [Social] | {'train': 2048, 'test': 471} | {'train': 38.57, 'test': 38.86} |
| [KorSTS](https://arxiv.org/abs/2004.03289) (Ham et al., 2020) | ['kor'] | STS | s2s | [News, Web] | {'test': 1379} | {'test': 29.279433139534884} |
| [KorSarcasmClassification](https://github.com/SpellOnYou/korean-sarcasm) (Kim et al., 2019) | ['kor'] | Classification | s2s | [Social] | {'train': 2048, 'test': 301} | {'train': 48.45, 'test': 46.77} |
| [KurdishSentimentClassification](https://link.springer.com/article/10.1007/s10579-023-09716-6) (Badawi et al., 2024) | ['kur'] | Classification | s2s | [Web] | {'train': 6000, 'test': 1987} | {'train': 59.38, 'test': 56.11} |
| [LCQMC](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [LEMBNarrativeQARetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) | ['eng'] | Retrieval | s2p | [Fiction, Non-fiction] | {'test': 10804} | {'test': 326399.3} |
| [LEMBNeedleRetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) (Zhu et al., 2024) | ['eng'] | Retrieval | s2p | [Academic, Blog] | {'test_256': 150, 'test_512': 150, 'test_1024': 150, 'test_2048': 150, 'test_4096': 150, 'test_8192': 150, 'test_16384': 150, 'test_32768': 150} | {'test_256': 1074.4, 'test_512': 2067.0, 'test_1024': 4129.5, 'test_2048': 8513.4, 'test_4096': 17452.7, 'test_8192': 35261.6, 'test_16384': 72113.7, 'test_32768': 141829.0} |
| [LEMBPasskeyRetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) (Zhu et al., 2024) | ['eng'] | Retrieval | s2p | [Fiction] | {'test_256': 150, 'test_512': 150, 'test_1024': 150, 'test_2048': 150, 'test_4096': 150, 'test_8192': 150, 'test_16384': 150, 'test_32768': 150} | {'test_256': 914.9, 'test_512': 1823.0, 'test_1024': 3644.7, 'test_2048': 7280.0, 'test_4096': 14555.5, 'test_8192': 29108.1, 'test_16384': 58213.9, 'test_32768': 116417.9} |
| [LEMBQMSumRetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) | ['eng'] | Retrieval | s2p | [Spoken] | {'test': 1724} | {'test': 56136.4} |
| [LEMBSummScreenFDRetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) | ['eng'] | Retrieval | s2p | [Spoken] | {'validation': 672} | {'validation': 31445.8} |
| [LEMBWikimQARetrieval](https://huggingface.co/datasets/dwzhu/LongEmbed) (Ho et al., 2020) | ['eng'] | Retrieval | s2p | [Encyclopaedic] | {'test': 500} | {'test': 37513.0} |
| [LanguageClassification](https://huggingface.co/datasets/papluca/language-identification) | ['ara', 'bul', 'cmn', 'deu', 'ell', 'eng', 'fra', 'hin', 'ita', 'jpn', 'nld', 'pol', 'por', 'rus', 'spa', 'swa', 'tha', 'tur', 'urd', 'vie'] | Classification | s2s | [Reviews, Web, Non-fiction, Fiction, Government] | {'test': 2048} | {'test': 107.8} |
| [LccSentimentClassification](https://github.com/fnielsen/lcc-sentiment) | ['dan'] | Classification | s2s | [News, Web] | {'test': 150} | {'test': 118.7} |
| [LeCaRDv2](https://github.com/THUIR/LeCaRDv2) | ['zho'] | Retrieval | p2p | [Legal] | | |
| [LearnedHandsBenefitsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 66} | {'test': 1308.44} |
| [LearnedHandsBusinessLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 174} | {'test': 1144.51} |
| [LearnedHandsConsumerLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 614} | {'test': 1277.45} |
| [LearnedHandsCourtsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 192} | {'test': 1171.02} |
| [LearnedHandsCrimeLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 688} | {'test': 1212.9} |
| [LearnedHandsDivorceLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 150} | {'test': 1242.43} |
| [LearnedHandsDomesticViolenceLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 174} | {'test': 1360.83} |
| [LearnedHandsEducationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 56} | {'test': 1397.44} |
| [LearnedHandsEmploymentLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 710} | {'test': 1262.74} |
| [LearnedHandsEstatesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 178} | {'test': 1200.7} |
| [LearnedHandsFamilyLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 1338.27} |
| [LearnedHandsHealthLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 226} | {'test': 1472.59} |
| [LearnedHandsHousingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 1322.54} |
| [LearnedHandsImmigrationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 134} | {'test': 1216.31} |
| [LearnedHandsTortsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 432} | {'test': 1406.97} |
| [LearnedHandsTrafficLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 556} | {'test': 1182.91} |
| [LegalBenchConsumerContractsQA](https://huggingface.co/datasets/nguha/legalbench/viewer/consumer_contracts_qa) | ['eng'] | Retrieval | s2p | [Legal] | | |
| [LegalBenchCorporateLobbying](https://huggingface.co/datasets/nguha/legalbench/viewer/corporate_lobbying) | ['eng'] | Retrieval | s2p | [Legal] | | |
| [LegalBenchPC](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | PairClassification | s2s | [Legal] | {'test': 2048} | {'test': 287.18} |
| [LegalQuAD](https://github.com/Christoph911/AIKE2021_Appendix) | ['deu'] | Retrieval | s2p | [Legal] | | |
| [LegalReasoningCausalityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 55} | {'test': 1563.76} |
| [LegalSummarization](https://github.com/lauramanor/legal_summarization) | ['eng'] | Retrieval | s2p | [Legal] | | |
| [LivedoorNewsClustering](https://github.com/sbintuitions/JMTEB) | ['jpn'] | Clustering | s2s | [News] | {'test': 1107} | {'test': 1082.61} |
| [MAUDLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 1802.93} |
| [MIRACLReranking](https://project-miracl.github.io/) | ['deu', 'spa'] | Reranking | s2s | | | |
| MIRACLRetrieval | ['deu', 'spa'] | Retrieval | s2p | | | |
| [MLQARetrieval](https://huggingface.co/datasets/mlqa) | ['ara', 'deu', 'eng', 'hin', 'spa', 'vie', 'zho'] | Retrieval | s2p | [Encyclopaedic] | {'test': 158083, 'validation': 15747} | {'test': 37352.28, 'validation': 36952.7} |
| [MLQuestions](https://github.com/McGill-NLP/MLQuestions) | ['eng'] | Retrieval | s2p | [Encyclopaedic, Academic] | {'dev': 1500, 'test': 1500} | {'dev': 305.0, 'test': 307.0} |
| [MLSUMClusteringP2P](https://huggingface.co/datasets/mlsum) (Scialom et al., 2020) | ['deu', 'fra', 'rus', 'spa'] | Clustering | p2p | [News] | {'validation': 38561, 'test': 41206} | {'validation': 4613.0, 'test': 4810.0} |
| [MLSUMClusteringS2S](https://huggingface.co/datasets/mlsum) (Scialom et al., 2020) | ['deu', 'fra', 'rus', 'spa'] | Clustering | s2s | [News] | {'validation': 38561, 'test': 41206} | {'validation': 4613.0, 'test': 4810.0} |
| [MMarcoReranking](https://github.com/unicamp-dl/mMARCO) | ['cmn'] | Reranking | s2s | | | |
| [MMarcoRetrieval](https://arxiv.org/abs/2309.07597) | ['cmn'] | Retrieval | s2p | | | |
| [MSMARCO](https://microsoft.github.io/msmarco/) | ['eng'] | Retrieval | s2p | | | |
| [MSMARCO-PL](https://microsoft.github.io/msmarco/) | ['pol'] | Retrieval | s2p | | | |
| [MSMARCOv2](https://microsoft.github.io/msmarco/TREC-Deep-Learning.html) | ['eng'] | Retrieval | s2p | | | |
| [MTOPDomainClassification](https://arxiv.org/pdf/2008.09335.pdf) | ['deu', 'eng', 'fra', 'hin', 'spa', 'tha'] | Classification | s2s | | {'validation': 2235, 'test': 4386} | {'validation': 36.5, 'test': 36.8} |
| [MTOPIntentClassification](https://arxiv.org/pdf/2008.09335.pdf) | ['deu', 'eng', 'fra', 'hin', 'spa', 'tha'] | Classification | s2s | | {'validation': 2235, 'test': 4386} | {'validation': 36.5, 'test': 36.8} |
| [MacedonianTweetSentimentClassification](https://aclanthology.org/R15-1034/) | ['mkd'] | Classification | s2s | [Social] | {'test': 1139} | {'test': 67.6} |
| [MalayalamNewsClassification](https://github.com/goru001/nlp-for-malyalam) | ['mal'] | Classification | s2s | [News] | {'train': 5036, 'test': 1260} | {'train': 79.48, 'test': 80.44} |
| [MalteseNewsClassification](https://huggingface.co/datasets/MLRS/maltese_news_categories) | ['mlt'] | MultilabelClassification | s2s | [Constructed] | {'train': 10784, 'test': 2297} | {'train': 1595.63, 'test': 1752.1} |
| [MarathiNewsClassification](https://github.com/goru001/nlp-for-marathi) | ['mar'] | Classification | s2s | [News] | {'test': 2048} | {'test': 52.37} |
| [MasakhaNEWSClassification](https://arxiv.org/abs/2304.09972) | ['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor'] | Classification | s2s | | {'test': 422} | {'test': 5116.6} |
| [MasakhaNEWSClusteringP2P](https://huggingface.co/datasets/masakhane/masakhanews) | ['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor'] | Clustering | p2p | | | |
| [MasakhaNEWSClusteringS2S](https://huggingface.co/datasets/masakhane/masakhanews) | ['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor'] | Clustering | s2s | | | |
| [MassiveIntentClassification](https://arxiv.org/abs/2204.08582#:~:text=MASSIVE%20contains%201M%20realistic%2C%20parallel,diverse%20languages%20from%2029%20genera.) | ['afr', 'amh', 'ara', 'aze', 'ben', 'cmo', 'cym', 'dan', 'deu', 'ell', 'eng', 'fas', 'fin', 'fra', 'heb', 'hin', 'hun', 'hye', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kan', 'kat', 'khm', 'kor', 'lav', 'mal', 'mon', 'msa', 'mya', 'nld', 'nob', 'pol', 'por', 'ron', 'rus', 'slv', 'spa', 'sqi', 'swa', 'swe', 'tam', 'tel', 'tgl', 'tha', 'tur', 'urd', 'vie'] | Classification | s2s | | {'validation': 2033, 'test': 2974} | {'validation': 34.8, 'test': 34.6} |
| [MassiveScenarioClassification](https://arxiv.org/abs/2204.08582#:~:text=MASSIVE%20contains%201M%20realistic%2C%20parallel,diverse%20languages%20from%2029%20genera.) | ['afr', 'amh', 'ara', 'aze', 'ben', 'cmo', 'cym', 'dan', 'deu', 'ell', 'eng', 'fas', 'fin', 'fra', 'heb', 'hin', 'hun', 'hye', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kan', 'kat', 'khm', 'kor', 'lav', 'mal', 'mon', 'msa', 'mya', 'nld', 'nob', 'pol', 'por', 'ron', 'rus', 'slv', 'spa', 'sqi', 'swa', 'swe', 'tam', 'tel', 'tgl', 'tha', 'tur', 'urd', 'vie'] | Classification | s2s | | {'validation': 2033, 'test': 2974} | {'validation': 34.8, 'test': 34.6} |
| [MedicalQARetrieval](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3119-4) (Asma et al., 2019) | ['eng'] | Retrieval | s2s | [Medical] | {'test': 2048} | {'test': 1205.9619140625} |
| [MedicalRetrieval](https://arxiv.org/abs/2203.03367) | ['cmn'] | Retrieval | s2p | | | |
| [MedrxivClusteringP2P.v2](https://api.medrxiv.org/) | ['eng'] | Clustering | p2p | [Academic, Medical] | {'test': 2048} | {'test': 1984.7} |
| [MedrxivClusteringS2S.v2](https://api.medrxiv.org/) | ['eng'] | Clustering | s2s | [Academic, Medical] | {'test': 2048} | {'test': 114.9} |
| [MewsC16JaClustering](https://github.com/sbintuitions/JMTEB) | ['jpn'] | Clustering | s2s | [News] | {'test': 992} | {'test': 95.0} |
| [MindSmallReranking](https://msnews.github.io/assets/doc/ACL2020_MIND.pdf) | ['eng'] | Reranking | s2s | | {'test': 107968} | {'test': 70.9} |
| MintakaRetrieval | ['ara', 'deu', 'fra', 'hin', 'ita', 'jpn', 'por', 'spa'] | Retrieval | s2p | | | |
| [Moroco](https://huggingface.co/datasets/moroco) (Andrei M. Butnaru, 2019) | ['ron'] | Classification | s2s | [News] | {'test': 2048} | {'test': 1710.94} |
| [MovieReviewSentimentClassification](https://github.com/TheophileBlard/french-sentiment-analysis-with-bert) (Théophile Blard, 2020) | ['fra'] | Classification | s2s | [Reviews] | {'validation': 1024, 'test': 1024} | {'validation': 550.3, 'test': 558.1} |
| [MultiEURLEXMultilabelClassification](https://huggingface.co/datasets/coastalcph/multi_eurlex) (Chalkidis et al., 2021) | ['bul', 'ces', 'dan', 'deu', 'ell', 'eng', 'est', 'fin', 'fra', 'hrv', 'hun', 'ita', 'lav', 'lit', 'mlt', 'nld', 'pol', 'por', 'ron', 'slk', 'slv', 'spa', 'swe'] | MultilabelClassification | p2p | [Legal, Government] | {'test': 5000} | {'test': 12014.41} |
| [MultiHateClassification](https://aclanthology.org/2022.woah-1.15/) | ['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'nld', 'pol', 'por', 'spa'] | Classification | s2s | [Constructed] | {'test': 10000} | {'test': 45.9} |
| [MultiLongDocRetrieval](https://arxiv.org/abs/2402.03216) (Jianlv Chen, 2024) | ['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'jpn', 'kor', 'por', 'rus', 'spa', 'tha'] | Retrieval | s2p | | | |
| [MultilingualSentiment](https://github.com/tyqiangz/multilingual-sentiment-datasets) | ['cmn'] | Classification | s2s | | | |
| [MultilingualSentimentClassification](https://huggingface.co/datasets/mteb/multilingual-sentiment-classification) | ['ara', 'bam', 'bul', 'cmn', 'cym', 'deu', 'dza', 'ell', 'eng', 'eus', 'fas', 'fin', 'heb', 'hrv', 'ind', 'jpn', 'kor', 'mlt', 'nor', 'pol', 'rus', 'slk', 'spa', 'tha', 'tur', 'uig', 'urd', 'vie', 'zho'] | Classification | s2s | [Reviews] | {'test': 7000} | {'test': 56.0} |
| [MyanmarNews](https://huggingface.co/datasets/myanmar_news) (A. H. Khine, 2017) | ['mya'] | Classification | p2p | [News] | {'train': 2048} | {'train': 174.2} |
| [NFCorpus](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/) | ['eng'] | Retrieval | s2p | | | |
| [NFCorpus-PL](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/) | ['pol'] | Retrieval | s2p | | | |
| [NQ](https://ai.google.com/research/NaturalQuestions/) | ['eng'] | Retrieval | s2p | | | |
| [NQ-PL](https://ai.google.com/research/NaturalQuestions/) | ['pol'] | Retrieval | s2p | | | |
| [NTREXBitextMining](https://huggingface.co/datasets/davidstap/NTREX) | ['afr', 'amh', 'arb', 'aze', 'bak', 'bel', 'bem', 'ben', 'bod', 'bos', 'bul', 'cat', 'ces', 'ckb', 'cym', 'dan', 'deu', 'div', 'dzo', 'ell', 'eng', 'eus', 'ewe', 'fao', 'fas', 'fij', 'fil', 'fin', 'fra', 'fuc', 'gle', 'glg', 'guj', 'hau', 'heb', 'hin', 'hmn', 'hrv', 'hun', 'hye', 'ibo', 'ind', 'isl', 'ita', 'jpn', 'kan', 'kat', 'kaz', 'khm', 'kin', 'kir', 'kmr', 'kor', 'lao', 'lav', 'lit', 'ltz', 'mal', 'mar', 'mey', 'mkd', 'mlg', 'mlt', 'mon', 'mri', 'msa', 'mya', 'nde', 'nep', 'nld', 'nno', 'nob', 'nso', 'nya', 'orm', 'pan', 'pol', 'por', 'prs', 'pus', 'ron', 'rus', 'shi', 'sin', 'slk', 'slv', 'smo', 'sna', 'snd', 'som', 'spa', 'sqi', 'srp', 'ssw', 'swa', 'swe', 'tah', 'tam', 'tat', 'tel', 'tgk', 'tha', 'tir', 'ton', 'tsn', 'tuk', 'tur', 'uig', 'ukr', 'urd', 'uzb', 'ven', 'vie', 'wol', 'xho', 'yor', 'yue', 'zho', 'zul'] | BitextMining | s2s | [News] | {'test': 3826252} | {'test': 120.0} |
| [NYSJudicialEthicsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 292} | {'test': 159.45} |
| [NaijaSenti](https://github.com/hausanlp/NaijaSenti) | ['hau', 'ibo', 'pcm', 'yor'] | Classification | s2s | [Social] | {'test': 4800} | {'test': 72.81} |
| [NarrativeQARetrieval](https://metatext.io/datasets/narrativeqa) | ['eng'] | Retrieval | s2p | | | |
| [NepaliNewsClassification](https://github.com/goru001/nlp-for-nepali) | ['nep'] | Classification | s2s | [News] | {'train': 5975, 'test': 1495} | {'train': 196.61, 'test': 196.017} |
| [NeuCLIR2022Retrieval](https://neuclir.github.io/) (Lawrie et al., 2023) | ['fas', 'rus', 'zho'] | Retrieval | s2p | [News] | {'fas': 2232130, 'zho': 3179323, 'rus': 4627657} | {'fas': 3500.5143969099317, 'zho': 2543.1140667919617, 'rus': 3214.755239654659} |
| [NeuCLIR2023Retrieval](https://neuclir.github.io/) (Dawn Lawrie, 2024) | ['fas', 'rus', 'zho'] | Retrieval | s2p | [News] | {'fas': 2232092, 'zho': 3179285, 'rus': 4627619} | {'fas': 3579.508213937439, 'zho': 2704.44834488453, 'rus': 3466.8192213553616} |
| [News21InstructionRetrieval](https://arxiv.org/abs/2403.15246) (Orion Weller, 2024) | ['eng'] | InstructionRetrieval | s2p | [News] | {'eng': 61906} | {'eng': 2983.724665391969} |
| [NewsClassification](https://arxiv.org/abs/1509.01626) | ['eng'] | Classification | s2s | [News] | {'test': 7600} | {'test': 235.29} |
| [NoRecClassification](https://aclanthology.org/L18-1661/) | ['nob'] | Classification | s2s | | {'test': 2050} | {'test': 82.0} |
| [NorQuadRetrieval](https://aclanthology.org/2023.nodalida-1.17/) | ['nob'] | Retrieval | p2p | [Encyclopaedic, Non-fiction] | {'test': 2602} | {'test': 502.19} |
| [NordicLangClassification](https://aclanthology.org/2021.vardial-1.8/) | ['dan', 'fao', 'isl', 'nno', 'nob', 'swe'] | Classification | s2s | | {'test': 3000} | {'test': 78.2} |
| [NorwegianCourtsBitextMining](https://opus.nlpl.eu/ELRC-Courts_Norway-v1.php) | ['nno', 'nob'] | BitextMining | s2s | [Spoken, Legal] | {'test': 456} | {'test': 82.11} |
| [NorwegianCourtsBitextMining](https://opus.nlpl.eu/index.php) (Tiedemann et al., 2020) | ['nno', 'nob'] | BitextMining | s2s | [Legal] | {'test': 2050} | {'test': 1884.0} |
| [NorwegianParliamentClassification](https://huggingface.co/datasets/NbAiLab/norwegian_parliament) | ['nob'] | Classification | s2s | | {'test': 1200, 'validation': 1200} | {'test': 1884.0, 'validation': 1911.0} |
| [NusaX-senti](https://arxiv.org/abs/2205.15960) (Winata et al., 2022) | ['ace', 'ban', 'bbc', 'bjn', 'bug', 'eng', 'ind', 'jav', 'mad', 'min', 'nij', 'sun'] | Classification | s2s | [Reviews, Web, Social, Constructed] | {'test': 4800} | {'test': 52.4} |
| [OPP115DataRetentionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 88} | {'test': 195.2} |
| [OPP115DataSecurityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1334} | {'test': 246.69} |
| [OPP115DoNotTrackLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 110} | {'test': 223.16} |
| [OPP115FirstPartyCollectionUseLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2086} | {'test': 204.25} |
| [OPP115InternationalAndSpecificAudiencesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 980} | {'test': 327.71} |
| [OPP115PolicyChangeLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 431} | {'test': 200.99} |
| [OPP115ThirdPartySharingCollectionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1590} | {'test': 223.64} |
| [OPP115UserAccessEditAndDeletionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 462} | {'test': 218.59} |
| [OPP115UserChoiceControlLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 1546} | {'test': 210.62} |
| [Ocnli](https://arxiv.org/abs/2010.05444) | ['cmn'] | PairClassification | s2s | | | |
| [OdiaNewsClassification](https://github.com/goru001/nlp-for-odia) | ['ory'] | Classification | s2s | [News] | {'test': 2048} | {'test': 49.24} |
| [OnlineShopping](https://aclanthology.org/2023.nodalida-1.20/) | ['cmn'] | Classification | s2s | | | |
| [OnlineStoreReviewSentimentClassification](https://huggingface.co/datasets/Ruqiya/Arabic_Reviews_of_SHEIN) | ['ara'] | Classification | s2s | [Reviews] | {'train': 2048} | {'train': 137.2} |
| [OpusparcusPC](https://gem-benchmark.com/data_cards/opusparcus) | ['deu', 'eng', 'fin', 'fra', 'rus', 'swe'] | PairClassification | s2s | | | |
| [OralArgumentQuestionPurposeLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 312} | {'test': 269.71} |
| [OverrulingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 167.2} |
| [PAC](https://arxiv.org/pdf/2211.13112.pdf) | ['pol'] | Classification | p2p | | {'test': 3453} | {'test': 185.3} |
| [PAWSX](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [PROALegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 95} | {'test': 251.73} |
| [PSC](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1211_Paper.pdf) | ['pol'] | PairClassification | s2s | | | |
| [PatentClassification](https://aclanthology.org/P19-1212.pdf) | ['eng'] | Classification | s2s | [Legal] | {'test': 5000} | {'test': 18620.44} |
| [PawsX](https://arxiv.org/abs/1908.11828) | ['cmn', 'deu', 'eng', 'fra', 'jpn', 'kor', 'spa'] | PairClassification | s2s | | | |
| [PersianFoodSentimentClassification](https://hooshvare.github.io/docs/datasets/sa) (Mehrdad Farahani et al., 2020) | ['fas'] | Classification | s2s | [Reviews] | {'validation': 2048, 'test': 2048} | {'validation': 90.37, 'test': 90.58} |
| [PersonalJurisdictionLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 50} | {'test': 381.14} |
| [PlscClusteringP2P.v2](https://huggingface.co/datasets/rafalposwiata/plsc) | ['pol'] | Clustering | s2s | [Academic] | {'test': 2048} | {'test': 1023.21} |
| [PlscClusteringS2S.v2](https://huggingface.co/datasets/rafalposwiata/plsc) | ['pol'] | Clustering | s2s | [Academic] | {'test': 2048} | {'test': 84.34} |
| [PoemSentimentClassification](https://arxiv.org/abs/2011.02686) (Emily Sheng, 2020) | ['eng'] | Classification | s2s | [Reviews] | {'validation': 105, 'test': 104} | {'validation': 45.3, 'test': 42.4} |
| [PolEmo2.0-IN](https://aclanthology.org/K19-1092.pdf) | ['pol'] | Classification | s2s | | | |
| [PolEmo2.0-OUT](https://aclanthology.org/K19-1092.pdf) | ['pol'] | Classification | s2s | | {'test': 722} | {'test': 756.2} |
| [PpcPC](https://arxiv.org/pdf/2207.12759.pdf) | ['pol'] | PairClassification | s2s | | | |
| [PublicHealthQA](https://huggingface.co/datasets/xhluca/publichealth-qa) | ['ara', 'eng', 'fra', 'kor', 'rus', 'spa', 'vie', 'zho'] | Retrieval | s2p | [Medical, Government, Web] | {'test': 888} | {'test': 778.1655} |
| [PunjabiNewsClassification](https://github.com/goru001/nlp-for-punjabi/) | ['pan'] | Classification | s2s | [News] | {'train': 627, 'test': 157} | {'train': 4222.22, 'test': 4115.14} |
| [QBQTC](https://github.com/CLUEbenchmark/QBQTC/tree/main/dataset) | ['cmn'] | STS | s2s | | | |
| [Quora-PL](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | ['pol'] | Retrieval | s2s | | | |
| [QuoraRetrieval](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | ['eng'] | Retrieval | s2s | | | |
| [RTE3](https://aclanthology.org/W07-1401/) | ['deu', 'eng', 'fra', 'ita'] | PairClassification | s2s | [News, Web, Encyclopaedic] | {'test': 1923} | {'test': 124.79} |
| [RUParaPhraserSTS](https://aclanthology.org/2020.ngt-1.6) (Pivovarova et al., 2017) | ['rus'] | STS | s2s | [News] | {'test': 1924} | {'test': 61.25} |
| [RedditClusteringP2P](https://arxiv.org/abs/2104.07081) | ['eng'] | Clustering | p2p | | {'test': 459399} | {'test': 727.7} |
| [RedditFastClusteringP2P](https://arxiv.org/abs/2104.07081) (Gregor Geigle, 2021) | ['eng'] | Clustering | p2p | [Web, Social] | {'test': 16000} | {'test': 727.7} |
| [RedditFastClusteringS2S](https://arxiv.org/abs/2104.07081) (Gregor Geigle, 2021) | ['eng'] | Clustering | s2s | [Web, Social] | {'test': 16000} | {'test': 64.7} |
| [RestaurantReviewSentimentClassification](https://link.springer.com/chapter/10.1007/978-3-319-18117-2_2) (ElSahar et al., 2015) | ['ara'] | Classification | s2s | [Reviews] | {'train': 2048} | {'train': 231.4} |
| [Robust04InstructionRetrieval](https://arxiv.org/abs/2403.15246) (Orion Weller, 2024) | ['eng'] | InstructionRetrieval | s2p | [News] | {'eng': 95088} | {'eng': 2471.0398058252426} |
| [RomaTalesBitextMining](https://idoc.pub/documents/idocpub-zpnxm9g35ylv) | ['hun', 'rom'] | BitextMining | s2s | [Fiction] | {'test': 215} | {'test': 316.8046511627907} |
| [RomaniBibleClustering](https://romani.global.bible/info) | ['rom'] | Clustering | p2p | [Religious] | {'test': 2048} | {'test': 132.2} |
| [RomanianReviewsSentiment](https://arxiv.org/abs/2101.04197) (Anca Maria Tache, 2021) | ['ron'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 588.6} |
| [RomanianSentimentClassification](https://arxiv.org/abs/2009.08712) (Dumitrescu et al., 2020) | ['ron'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 67.6} |
| [RonSTS](https://openreview.net/forum?id=JH61CD7afTv) (Dumitrescu et al., 2021) | ['ron'] | STS | s2s | [News, Social, Web] | {'test': 1379} | {'test': 60.5} |
| [SCDBPAccountabilityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3520.0} |
| [SCDBPAuditsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3507.0} |
| [SCDBPCertificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 378} | {'test': 3507.0} |
| [SCDBPTrainingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3506.0} |
| [SCDBPVerificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3498.0} |
| [SCDDAccountabilityLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 378} | {'test': 3522.0} |
| [SCDDAuditsLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3506.0} |
| [SCDDCertificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 378} | {'test': 3518.0} |
| [SCDDTrainingLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3499.0} |
| [SCDDVerificationLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 379} | {'test': 3503.0} |
| [SCIDOCS](https://allenai.org/data/scidocs) | ['eng'] | Retrieval | s2p | | | |
| [SCIDOCS-PL](https://allenai.org/data/scidocs) | ['pol'] | Retrieval | s2p | | | |
| [SIB200Classification](https://arxiv.org/abs/2309.07445) (Adelani et al., 2023) | ['ace', 'acm', 'acq', 'aeb', 'afr', 'ajp', 'aka', 'als', 'amh', 'apc', 'arb', 'ars', 'ary', 'arz', 'asm', 'ast', 'awa', 'ayr', 'azb', 'azj', 'bak', 'bam', 'ban', 'bel', 'bem', 'ben', 'bho', 'bjn', 'bod', 'bos', 'bug', 'bul', 'cat', 'ceb', 'ces', 'cjk', 'ckb', 'crh', 'cym', 'dan', 'deu', 'dik', 'dyu', 'dzo', 'ell', 'eng', 'epo', 'est', 'eus', 'ewe', 'fao', 'fij', 'fin', 'fon', 'fra', 'fur', 'fuv', 'gaz', 'gla', 'gle', 'glg', 'grn', 'guj', 'hat', 'hau', 'heb', 'hin', 'hne', 'hrv', 'hun', 'hye', 'ibo', 'ilo', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kab', 'kac', 'kam', 'kan', 'kas', 'kat', 'kaz', 'kbp', 'kea', 'khk', 'khm', 'kik', 'kin', 'kir', 'kmb', 'kmr', 'knc', 'kon', 'kor', 'lao', 'lij', 'lim', 'lin', 'lit', 'lmo', 'ltg', 'ltz', 'lua', 'lug', 'luo', 'lus', 'lvs', 'mag', 'mai', 'mal', 'mar', 'min', 'mkd', 'mlt', 'mni', 'mos', 'mri', 'mya', 'nld', 'nno', 'nob', 'npi', 'nqo', 'nso', 'nus', 'nya', 'oci', 'ory', 'pag', 'pan', 'pap', 'pbt', 'pes', 'plt', 'pol', 'por', 'prs', 'quy', 'ron', 'run', 'rus', 'sag', 'san', 'sat', 'scn', 'shn', 'sin', 'slk', 'slv', 'smo', 'sna', 'snd', 'som', 'sot', 'spa', 'srd', 'srp', 'ssw', 'sun', 'swe', 'swh', 'szl', 'tam', 'taq', 'tat', 'tel', 'tgk', 'tgl', 'tha', 'tir', 'tpi', 'tsn', 'tso', 'tuk', 'tum', 'tur', 'twi', 'tzm', 'uig', 'ukr', 'umb', 'urd', 'uzn', 'vec', 'vie', 'war', 'wol', 'xho', 'ydd', 'yor', 'yue', 'zho', 'zsm', 'zul'] | Classification | s2s | [News] | {'train': 701, 'validation': 99, 'test': 204} | {'train': 111.24, 'validation': 97.11, 'test': 135.53} |
| [SIB200ClusteringFastS2S](https://arxiv.org/abs/2309.07445) (Adelani et al., 2023) | ['ace', 'acm', 'acq', 'aeb', 'afr', 'ajp', 'aka', 'als', 'amh', 'apc', 'arb', 'ars', 'ary', 'arz', 'asm', 'ast', 'awa', 'ayr', 'azb', 'azj', 'bak', 'bam', 'ban', 'bel', 'bem', 'ben', 'bho', 'bjn', 'bod', 'bos', 'bug', 'bul', 'cat', 'ceb', 'ces', 'cjk', 'ckb', 'crh', 'cym', 'dan', 'deu', 'dik', 'dyu', 'dzo', 'ell', 'eng', 'epo', 'est', 'eus', 'ewe', 'fao', 'fij', 'fin', 'fon', 'fra', 'fur', 'fuv', 'gaz', 'gla', 'gle', 'glg', 'grn', 'guj', 'hat', 'hau', 'heb', 'hin', 'hne', 'hrv', 'hun', 'hye', 'ibo', 'ilo', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kab', 'kac', 'kam', 'kan', 'kas', 'kat', 'kaz', 'kbp', 'kea', 'khk', 'khm', 'kik', 'kin', 'kir', 'kmb', 'kmr', 'knc', 'kon', 'kor', 'lao', 'lij', 'lim', 'lin', 'lit', 'lmo', 'ltg', 'ltz', 'lua', 'lug', 'luo', 'lus', 'lvs', 'mag', 'mai', 'mal', 'mar', 'min', 'mkd', 'mlt', 'mni', 'mos', 'mri', 'mya', 'nld', 'nno', 'nob', 'npi', 'nqo', 'nso', 'nus', 'nya', 'oci', 'ory', 'pag', 'pan', 'pap', 'pbt', 'pes', 'plt', 'pol', 'por', 'prs', 'quy', 'ron', 'run', 'rus', 'sag', 'san', 'sat', 'scn', 'shn', 'sin', 'slk', 'slv', 'smo', 'sna', 'snd', 'som', 'sot', 'spa', 'srd', 'srp', 'ssw', 'sun', 'swe', 'swh', 'szl', 'tam', 'taq', 'tat', 'tel', 'tgk', 'tgl', 'tha', 'tir', 'tpi', 'tsn', 'tso', 'tuk', 'tum', 'tur', 'twi', 'tzm', 'uig', 'ukr', 'umb', 'urd', 'uzn', 'vec', 'vie', 'war', 'wol', 'xho', 'ydd', 'yor', 'yue', 'zho', 'zsm', 'zul'] | Classification | s2s | [News] | {'test': 1004} | {'test': 114.78} |
| [SICK-BR-PC](https://linux.ime.usp.br/~thalen/SICK_PT.pdf) | ['por'] | PairClassification | s2s | [Web] | {'test': 1000} | {'test': 54.89} |
| [SICK-BR-STS](https://linux.ime.usp.br/~thalen/SICK_PT.pdf) | ['por'] | STS | s2s | [Web] | {'test': 1000} | {'test': 54.89} |
| [SICK-E-PL](https://aclanthology.org/2020.lrec-1.207) | ['pol'] | PairClassification | s2s | | | |
| [SICK-R](https://aclanthology.org/2020.lrec-1.207) | ['eng'] | STS | s2s | | | |
| [SICK-R-PL](https://aclanthology.org/2020.lrec-1.207) | ['pol'] | STS | s2s | [Web] | {'test': 9812} | {'test': 42.8} |
| [SICKFr](https://huggingface.co/datasets/Lajavaness/SICK-fr) | ['fra'] | STS | s2s | | | |
| [SNLHierarchicalClusteringP2P](https://huggingface.co/datasets/navjordj/SNL_summarization) (Navjord et al., 2023) | ['nob'] | Clustering | p2p | [Encyclopaedic, Non-fiction] | {'test': 1300} | {'test': 1986.9453846153847} |
| [SNLHierarchicalClusteringS2S](https://huggingface.co/datasets/navjordj/SNL_summarization) (Navjord et al., 2023) | ['nob'] | Clustering | s2s | [Encyclopaedic, Non-fiction] | {'test': 1300} | {'test': 242.22384615384615} |
| [SNLRetrieval](https://huggingface.co/datasets/navjordj/SNL_summarization) (Navjord et al., 2023) | ['nob'] | Retrieval | p2p | [Encyclopaedic, Non-fiction] | {'test': 2048} | {'test': 1101.3} |
| [SRNCorpusBitextMining](https://arxiv.org/abs/2212.06383) (Zwennicker et al., 2022) | ['nld', 'srn'] | BitextMining | s2s | [Social, Web] | {'test': 256} | {'test': 55.0} |
| [STS12](https://www.aclweb.org/anthology/S12-1051.pdf) | ['eng'] | STS | s2s | | | |
| [STS13](https://www.aclweb.org/anthology/S13-1004/) | ['eng'] | STS | s2s | | | |
| [STS14](https://www.aclweb.org/anthology/S14-1002) | ['eng'] | STS | s2s | | | |
| [STS15](https://www.aclweb.org/anthology/S15-2010) | ['eng'] | STS | s2s | | | |
| [STS16](https://www.aclweb.org/anthology/S16-1001) | ['eng'] | STS | s2s | | | |
| [STS17](http://alt.qcri.org/semeval2016/task1/) | ['ara', 'deu', 'eng', 'fra', 'ita', 'kor', 'nld', 'spa', 'tur'] | STS | s2s | | {'test': 500} | {'test': 43.3} |
| [STS22](https://competitions.codalab.org/competitions/33835) | ['ara', 'cmn', 'deu', 'eng', 'fra', 'ita', 'pol', 'rus', 'spa', 'tur'] | STS | p2p | | {'test': 8060} | {'train': 1992.8} |
| [STSB](https://aclanthology.org/2021.emnlp-main.357) | ['cmn'] | STS | s2s | | | |
| [STSBenchmark](https://github.com/PhilipMay/stsb-multi-mt/) | ['eng'] | STS | s2s | | | |
| [STSBenchmarkMultilingualSTS](https://github.com/PhilipMay/stsb-multi-mt/) | ['cmn', 'deu', 'eng', 'fra', 'ita', 'nld', 'pol', 'por', 'rus', 'spa'] | STS | s2s | | | |
| [STSES](https://huggingface.co/datasets/PlanTL-GOB-ES/sts-es) | ['spa'] | STS | s2s | | | |
| [SanskritShlokasClassification](https://github.com/goru001/nlp-for-sanskrit) | ['san'] | Classification | s2s | [Religious] | {'train': 383, 'validation': 96} | {'train': 98.415, 'validation': 96.635} |
| [ScalaClassification](https://aclanthology.org/2023.nodalida-1.20/) | ['dan', 'nno', 'nob', 'swe'] | Classification | s2s | [Fiction, News, Non-fiction, Blog, Spoken, Web] | {'test': 4096} | {'test': 102.72} |
| [SciDocsRR](https://allenai.org/data/scidocs) | ['eng'] | Reranking | s2s | [Academic, Non-fiction] | {'test': 19599} | {'test': 69.0} |
| [SciFact](https://github.com/allenai/scifact) | ['eng'] | Retrieval | s2p | | | |
| [SciFact-PL](https://github.com/allenai/scifact) | ['pol'] | Retrieval | s2p | | | |
| [SentimentAnalysisHindi](https://huggingface.co/datasets/OdiaGenAI/sentiment_analysis_hindi) (Shantipriya Parida, 2023) | ['hin'] | Classification | s2s | [Reviews] | {'train': 2497} | {'train': 81.29} |
| [SinhalaNewsClassification](https://huggingface.co/datasets/NLPC-UOM/Sinhala-News-Category-classification) (Nisansa de Silva, 2015) | ['sin'] | Classification | s2s | [News] | {'train': 3327} | {'train': 148.04} |
| [SinhalaNewsSourceClassification](https://huggingface.co/datasets/NLPC-UOM/Sinhala-News-Source-classification) (Dhananjaya et al., 2022) | ['sin'] | Classification | s2s | [News] | {'train': 24094} | {'train': 56.08} |
| [SiswatiNewsClassification](https://huggingface.co/datasets/dsfsi/za-isizulu-siswati-news) (Madodonga et al., 2023) | ['ssw'] | Classification | s2s | [News] | {'train': 80} | {'train': 354.2} |
| [SlovakMovieReviewSentimentClassification](https://arxiv.org/pdf/2304.01922) ({ {S, 2023) | ['svk'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 366.17} |
| [SlovakSumRetrieval](https://huggingface.co/datasets/NaiveNeuron/slovaksum) | ['slk'] | Retrieval | s2s | [News, Social, Web] | {'test': 600} | {'test': 238.44} |
| [SouthAfricanLangClassification](https://www.kaggle.com/competitions/south-african-language-identification/) | ['afr', 'eng', 'nbl', 'nso', 'sot', 'ssw', 'tsn', 'tso', 'ven', 'xho', 'zul'] | Classification | s2s | [Web, Non-fiction] | {'test': 2048} | {'test': 247.49} |
| [SpanishNewsClassification](https://huggingface.co/datasets/MarcOrfilaCarreras/spanish-news) | ['spa'] | Classification | s2s | [News] | {'train': 2048} | {'train': 4218.2} |
| [SpanishNewsClusteringP2P](https://www.kaggle.com/datasets/kevinmorgado/spanish-news-classification) | ['spa'] | Clustering | p2p | | | |
| [SpanishPassageRetrievalS2P](https://mklab.iti.gr/results/spanish-passage-retrieval-dataset/) | ['spa'] | Retrieval | s2p | | | |
| [SpanishPassageRetrievalS2S](https://mklab.iti.gr/results/spanish-passage-retrieval-dataset/) | ['spa'] | Retrieval | s2s | | | |
| [SpanishSentimentClassification](https://huggingface.co/datasets/sepidmnorozy/Spanish_sentiment) | ['spa'] | Classification | s2s | [Reviews] | {'validation': 147, 'test': 296} | {'validation': 85.02, 'test': 87.91} |
| [SprintDuplicateQuestions](https://www.aclweb.org/anthology/D18-1131/) | ['eng'] | PairClassification | s2s | | {'validation': 101000, 'test': 101000} | {'validation': 65.2, 'test': 67.9} |
| [StackExchangeClustering.v2](https://arxiv.org/abs/2104.07081) (Gregor Geigle, 2021) | ['eng'] | Clustering | s2s | [Web] | {'test': 16000} | {'test': 57.0} |
| [StackExchangeClusteringP2P.v2](https://arxiv.org/abs/2104.07081) (Gregor Geigle, 2021) | ['eng'] | Clustering | p2p | [Web] | {'test': 16000} | {'test': 1090.7} |
| [StackOverflowDupQuestions](https://www.microsoft.com/en-us/research/uploads/prod/2019/03/nl4se18LinkSO.pdf) | ['eng'] | Reranking | s2s | | {'test': 3467} | {'test': 49.8} |
| [StatcanDialogueDatasetRetrieval](https://mcgill-nlp.github.io/statcan-dialogue-dataset/) | ['eng', 'fra'] | Retrieval | s2p | [Government, Web] | {'dev': 1000, 'test': 1011, 'corpus': 5907} | {'dev': 776.58, 'test': 857.13, 'corpus': 6806.97} |
| [SummEval](https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html) | ['eng'] | Summarization | p2p | | {'test': 2800} | {'test': 359.8} |
| [SummEvalFr](https://github.com/Yale-LILY/SummEval) | ['fra'] | Summarization | p2p | | | |
| [SweFaqRetrieval](https://spraakbanken.gu.se/en/resources/superlim) | ['swe'] | Retrieval | s2s | [Government, Non-fiction] | {'test': 1024} | {'test': 195.44} |
| [SweRecClassification](https://aclanthology.org/2023.nodalida-1.20/) | ['swe'] | Classification | s2s | | {'test': 1024} | {'test': 318.8} |
| [SwedishSentimentClassification](https://huggingface.co/datasets/swedish_reviews) | ['swe'] | Classification | s2s | [Reviews] | {'validation': 1024, 'test': 1024} | {'validation': 499.3, 'test': 498.1} |
| [SwednClusteringP2P](https://spraakbanken.gu.se/en/resources/swedn) (Monsen et al., 2021) | ['swe'] | Clustering | p2p | [News, Non-fiction] | {'all': 2048} | {'all': 1619.71} |
| [SwednClusteringS2S](https://spraakbanken.gu.se/en/resources/swedn) (Monsen et al., 2021) | ['swe'] | Clustering | s2s | [News, Non-fiction] | {'all': 2048} | {'all': 1619.71} |
| [SwednRetrieval](https://spraakbanken.gu.se/en/resources/swedn) (Monsen et al., 2021) | ['swe'] | Retrieval | p2p | [News, Non-fiction] | {'test': 2048} | {'test': 1946.35} |
| [SwissJudgementClassification](https://aclanthology.org/2021.nllp-1.3/) (Joel Niklaus, 2022) | ['deu', 'fra', 'ita'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 3411.72} |
| [SyntecReranking](https://huggingface.co/datasets/lyon-nlp/mteb-fr-reranking-syntec-s2p) | ['fra'] | Reranking | s2p | [Legal] | | |
| [SyntecRetrieval](https://huggingface.co/datasets/lyon-nlp/mteb-fr-retrieval-syntec-s2p) | ['fra'] | Retrieval | s2p | | {'test': 90} | {'test': 62.0} |
| [T2Reranking](https://arxiv.org/abs/2304.03679) | ['cmn'] | Reranking | s2s | | | |
| [T2Retrieval](https://arxiv.org/abs/2304.03679) | ['cmn'] | Retrieval | s2p | | | |
| [TNews](https://www.cluebenchmarks.com/introduce.html) | ['cmn'] | Classification | s2s | | | |
| [TRECCOVID](https://ir.nist.gov/covidSubmit/index.html) | ['eng'] | Retrieval | s2p | | | |
| [TRECCOVID-PL](https://ir.nist.gov/covidSubmit/index.html) | ['pol'] | Retrieval | s2p | | | |
| [TV2Nordretrieval](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization) | ['dan'] | Retrieval | p2p | [News, Non-fiction] | {'test': 4096} | {'test': 784.11} |
| [TamilNewsClassification](https://github.com/vanangamudi/tamil-news-classification) | ['tam'] | Classification | s2s | [News] | {'train': 14521, 'test': 3631} | {'train': 56.5, 'test': 56.52} |
| [Tatoeba](https://github.com/facebookresearch/LASER/tree/main/data/tatoeba/v1) (Tatoeba community, 2021) | ['afr', 'amh', 'ang', 'ara', 'arq', 'arz', 'ast', 'awa', 'aze', 'bel', 'ben', 'ber', 'bos', 'bre', 'bul', 'cat', 'cbk', 'ceb', 'ces', 'cha', 'cmn', 'cor', 'csb', 'cym', 'dan', 'deu', 'dsb', 'dtp', 'ell', 'eng', 'epo', 'est', 'eus', 'fao', 'fin', 'fra', 'fry', 'gla', 'gle', 'glg', 'gsw', 'heb', 'hin', 'hrv', 'hsb', 'hun', 'hye', 'ido', 'ile', 'ina', 'ind', 'isl', 'ita', 'jav', 'jpn', 'kab', 'kat', 'kaz', 'khm', 'kor', 'kur', 'kzj', 'lat', 'lfn', 'lit', 'lvs', 'mal', 'mar', 'max', 'mhr', 'mkd', 'mon', 'nds', 'nld', 'nno', 'nob', 'nov', 'oci', 'orv', 'pam', 'pes', 'pms', 'pol', 'por', 'ron', 'rus', 'slk', 'slv', 'spa', 'sqi', 'srp', 'swe', 'swg', 'swh', 'tam', 'tat', 'tel', 'tgl', 'tha', 'tuk', 'tur', 'tzl', 'uig', 'ukr', 'urd', 'uzb', 'vie', 'war', 'wuu', 'xho', 'yid', 'yue', 'zsm'] | BitextMining | s2s | | {'test': 2000} | {'test': 39.4} |
| [TbilisiCityHallBitextMining](https://huggingface.co/datasets/jupyterjazz/tbilisi-city-hall-titles) | ['eng', 'kat'] | BitextMining | s2s | [News] | {'test': 1820} | {'test': 78.0} |
| [TelemarketingSalesRuleLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 47} | {'test': 348.29} |
| [TeluguAndhraJyotiNewsClassification](https://github.com/AnushaMotamarri/Telugu-Newspaper-Article-Dataset) | ['tel'] | Classification | s2s | [News] | {'test': 4329} | {'test': 1428.28} |
| [TenKGnadClassification](https://tblock.github.io/10kGNAD/) | ['deu'] | Classification | p2p | [News] | {'test': 1028} | {'test': 2627.31} |
| [TenKGnadClusteringP2P.v2](https://tblock.github.io/10kGNAD/) | ['deu'] | Clustering | p2p | [News, Non-fiction] | {'test': 10275} | {'test': 2641.03} |
| [TenKGnadClusteringS2S.v2](https://tblock.github.io/10kGNAD/) | ['deu'] | Clustering | s2s | [News, Non-fiction] | {'test': 10275} | {'test': 50.96} |
| [TextualismToolDictionariesLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 107} | {'test': 943.23} |
| [TextualismToolPlainLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 165} | {'test': 997.97} |
| [ThuNewsClusteringP2P.v2](http://thuctc.thunlp.org/) | ['cmn'] | Clustering | p2p | [News] | {'test': 2048} | |
| [ThuNewsClusteringS2S.v2](http://thuctc.thunlp.org/) | ['cmn'] | Clustering | s2s | [News] | {'test': 2048} | |
| [TopiOCQA](https://mcgill-nlp.github.io/topiocqa) (Adlakha et al., 2022) | ['eng'] | Retrieval | s2p | [Encyclopaedic] | {'dev': 2514} | {'validation': 708.0} |
| [Touche2020](https://webis.de/events/touche-20/shared-task-1.html) | ['eng'] | Retrieval | s2p | | | |
| [ToxicChatClassification](https://aclanthology.org/2023.findings-emnlp.311/) (Zi Lin, 2023) | ['eng'] | Classification | s2s | [Constructed] | {'test': 1427} | {'test': 189.4} |
| [ToxicConversationsClassification](https://www.kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification/overview) (cjadams et al., 2019) | ['eng'] | Classification | s2s | [Social] | {'test': 50000} | {'test': 296.6} |
| [TswanaNewsClassification](https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17) (Vukosi Marivate, 2023) | ['tsn'] | Classification | s2s | [News] | {'validation': 487, 'test': 487} | {'validation': 2417.72, 'test': 2369.52} |
| [TurHistQuadRetrieval](https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset) (Soygazi et al., 2021) | ['tur'] | Retrieval | p2p | [Encyclopaedic, Non-fiction, Academic] | {'test': 1330} | {'test': 1513.83} |
| [TurkicClassification](https://huggingface.co/datasets/Electrotubbie/classification_Turkic_languages/) | ['bak', 'kaz', 'kir'] | Classification | s2s | [News] | {'train': 193056} | {'train': 1103.13} |
| [TurkishMovieSentimentClassification](https://www.win.tue.nl/~mpechen/publications/pubs/MT_WISDOM2013.pdf) (Erkin Demirtas, 2013) | ['tur'] | Classification | s2s | [Reviews] | {'test': 2644} | {'test': 141.5} |
| [TurkishProductSentimentClassification](https://www.win.tue.nl/~mpechen/publications/pubs/MT_WISDOM2013.pdf) (Erkin Demirtas, 2013) | ['tur'] | Classification | s2s | [Reviews] | {'test': 800} | {'test': 246.85} |
| [TweetEmotionClassification](https://link.springer.com/chapter/10.1007/978-3-319-77116-8_8) (Al-Khatib et al., 2018) | ['ara'] | Classification | s2s | [Social] | {'train': 2048} | {'train': 78.8} |
| [TweetSarcasmClassification](https://aclanthology.org/2020.osact-1.5/) | ['ara'] | Classification | s2s | [Social] | {'test': 2110} | {'test': 102.1} |
| [TweetSentimentClassification](https://aclanthology.org/2022.lrec-1.27) | ['ara', 'deu', 'eng', 'fra', 'hin', 'ita', 'por', 'spa'] | Classification | s2s | [Social] | {'test': 2048} | {'test': 83.51} |
| [TweetSentimentExtractionClassification](https://www.kaggle.com/competitions/tweet-sentiment-extraction/overview) (Maggie et al., 2020) | ['eng'] | Classification | s2s | [Social] | {'test': 3534} | {'test': 67.8} |
| [TweetTopicSingleClassification](https://arxiv.org/abs/2209.09824) | ['eng'] | Classification | s2s | [Social, News] | {'test_2021': 1693} | {'test_2021': 167.66} |
| [TwentyNewsgroupsClustering.v2](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html) (Ken Lang, 1995) | ['eng'] | Clustering | s2s | [News] | {'test': 2048} | {'test': 32.0} |
| [TwitterHjerneRetrieval](https://huggingface.co/datasets/sorenmulli/da-hashtag-twitterhjerne) (Holm et al., 2024) | ['dan'] | Retrieval | p2p | [Social] | {'train': 340} | {'train': 138.23} |
| [TwitterSemEval2015](https://alt.qcri.org/semeval2015/task1/) | ['eng'] | PairClassification | s2s | | {'test': 16777} | {'test': 38.3} |
| [TwitterURLCorpus](https://languagenet.github.io/) | ['eng'] | PairClassification | s2s | | {'test': 51534} | {'test': 79.5} |
| [UCCVCommonLawLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 94} | {'test': 114.127} |
| [UkrFormalityClassification](https://huggingface.co/datasets/ukr-detect/ukr-formality-dataset-translated-gyafc) | ['ukr'] | Classification | s2s | [News] | {'train': 2048, 'test': 2048} | {'train': 52.1, 'test': 53.07} |
| [UnfairTOSLegalBenchClassification](https://huggingface.co/datasets/nguha/legalbench) (Neel Guha, 2023) | ['eng'] | Classification | s2s | [Legal] | {'test': 2048} | {'test': 184.69} |
| [UrduRomanSentimentClassification](https://archive.ics.uci.edu/dataset/458/roman+urdu+data+set) (Sharf,Zareen, 2018) | ['urd'] | Classification | s2s | [Social] | {'train': 2048} | {'train': 68.248} |
| [VGHierarchicalClusteringP2P](https://huggingface.co/datasets/navjordj/VG_summarization) (Navjord et al., 2023) | ['nob'] | Clustering | p2p | [News, Non-fiction] | {'test': 2048} | {'test': 2670.3243084794544} |
| [VGHierarchicalClusteringS2S](https://huggingface.co/datasets/navjordj/VG_summarization) (Navjord et al., 2023) | ['nob'] | Clustering | p2p | [News, Non-fiction] | {'test': 2048} | {'test': 139.31247668283325} |
| [VideoRetrieval](https://arxiv.org/abs/2203.03367) | ['cmn'] | Retrieval | s2p | | | |
| [VieMedEVBitextMining](https://aclanthology.org/2015.iwslt-evaluation.11/) (Nhu Vo, 2024) | ['eng', 'vie'] | BitextMining | s2s | [Medical] | {'test': 2048} | {'test': 139.23} |
| [VieQuADRetrieval](https://aclanthology.org/2020.coling-main.233.pdf) | ['vie'] | Retrieval | s2p | [Encyclopaedic, Non-fiction] | {'validation': 2048} | {'validation': 790.24} |
| [VieStudentFeedbackClassification](https://ieeexplore.ieee.org/document/8573337) (Nguyen et al., 2018) | ['vie'] | Classification | s2s | [Reviews] | {'test': 2048} | {'test': 14.22} |
| [WRIMEClassification](https://aclanthology.org/2021.naacl-main.169/) | ['jpn'] | Classification | s2s | [Social] | {'test': 2048} | {'test': 47.78} |
| [Waimai](https://aclanthology.org/2023.nodalida-1.20/) | ['cmn'] | Classification | s2s | | | |
| [WikiCitiesClustering](https://huggingface.co/datasets/wikipedia) | ['eng'] | Clustering | p2p | | | |
| [WikiClusteringFastP2P](https://github.com/Rysias/wiki-clustering) | ['bos', 'cat', 'ces', 'dan', 'eus', 'glv', 'ilo', 'kur', 'lav', 'min', 'mlt', 'sco', 'sqi', 'wln'] | Clustering | p2p | [Encyclopaedic] | {'test': 2048} | {'test': 625.3} |
| [WikipediaRerankingMultilingual](https://huggingface.co/datasets/ellamind/wikipedia-2023-11-reranking-multilingual) | ['ben', 'bul', 'ces', 'dan', 'deu', 'eng', 'fas', 'fin', 'hin', 'ita', 'nld', 'nor', 'por', 'ron', 'srp', 'swe'] | Reranking | s2p | [Encyclopaedic] | {'en': 1500, 'de': 1500, 'it': 1500, 'pt': 1500, 'nl': 1500, 'cs': 1500, 'ro': 1500, 'bg': 1500, 'sr': 1500, 'fi': 1500, 'da': 1500, 'fa': 1500, 'hi': 1500, 'bn': 1500, 'no': 1500, 'sv': 1500} | {'test': 452.0} |
| [WikipediaRetrievalMultilingual](https://huggingface.co/datasets/ellamind/wikipedia-2023-11-retrieval-pt) | ['ben', 'bul', 'ces', 'dan', 'deu', 'eng', 'fas', 'fin', 'hin', 'ita', 'nld', 'nor', 'por', 'ron', 'srp', 'swe'] | Retrieval | s2p | [Encyclopaedic] | {'en': 1500, 'de': 1500, 'it': 1500, 'pt': 1500, 'nl': 1500, 'cs': 1500, 'ro': 1500, 'bg': 1500, 'sr': 1500, 'fi': 1500, 'da': 1500, 'fa': 1500, 'hi': 1500, 'bn': 1500, 'no': 1500, 'sv': 1500} | {'test': 452.0} |
| [WisesightSentimentClassification](https://github.com/PyThaiNLP/wisesight-sentiment) | ['tha'] | Classification | s2s | [Social, News] | {'train': 2048} | {'train': 103.42} |
| XMarket | ['deu', 'eng', 'spa'] | Retrieval | s2p | | | |
| [XNLI](https://aclanthology.org/D18-1269/) (Conneau et al., 2018) | ['ara', 'bul', 'deu', 'ell', 'eng', 'fra', 'hin', 'rus', 'spa', 'swa', 'tha', 'tur', 'vie', 'zho'] | PairClassification | s2s | [Non-fiction, Fiction, Government] | {'validation': 2163, 'test': 2460} | {'validation': 106.5, 'test': 106.5} |
| [XNLIV2](https://arxiv.org/pdf/2301.06527) (Upadhyay et al., 2023) | ['asm', 'ben', 'bho', 'ell', 'guj', 'kan', 'mar', 'ory', 'pan', 'rus', 'san', 'tam', 'tur'] | PairClassification | s2s | [Non-fiction, Fiction, Government] | {'test': 5010} | {'test': 80.06} |
| [XPQARetrieval](https://arxiv.org/abs/2305.09249) (Shen et al., 2023) | ['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'jpn', 'kor', 'pol', 'por', 'spa', 'tam'] | Retrieval | s2p | [Reviews] | {'test': 19801} | {'test': 104.68} |
| [XQuADRetrieval](https://huggingface.co/datasets/xquad) (Mikel Artetxe, 2019) | ['arb', 'deu', 'ell', 'eng', 'hin', 'ron', 'rus', 'spa', 'tha', 'tur', 'vie', 'zho'] | Retrieval | s2p | [Web] | {'test': 1190} | {'test': 788.7} |
| [XStance](https://github.com/ZurichNLP/xstance) | ['deu', 'fra', 'ita'] | PairClassification | s2s | [Social] | {'test': 2048} | {'test': 152.41} |
| [YahooAnswersTopicsClassification](https://huggingface.co/datasets/yahoo_answers_topics) | ['eng'] | Classification | s2s | [Web] | {'test': 60000} | {'test': 346.35} |
| [YelpReviewFullClassification](https://arxiv.org/abs/1509.01626) (Zhang et al., 2015) | ['eng'] | Classification | s2s | [Reviews] | {'test': 50000} | |
| [YueOpenriceReviewClassification](https://github.com/Christainx/Dataset_Cantonese_Openrice) (Xiang et al., 2019) | ['yue'] | Classification | s2s | [Reviews] | {'test': 6161} | {'test': 173.0} |
| [indonli](https://link.springer.com/chapter/10.1007/978-3-030-41505-1_39) | ['ind'] | PairClassification | s2s | [Encyclopaedic, Web, News] | {'test_expert': 2040} | {'test_expert': 145.88} |
<!-- TASKS TABLE END -->
</details>
<br/>
## Task Count per Language
<details>
<!-- TASK LANG TABLE START -->
| Language | BitextMining | Classification | Clustering | InstructionRetrieval | MultilabelClassification | PairClassification | Reranking | Retrieval | STS | Summarization |
|---|------|------|------|------|------|------|------|------|------|---|
| aai | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aak | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aau | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aaz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| abt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| abx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aby | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ace | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| acf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| acm | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| acq | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| acr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| acu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| adz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aeb | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aer | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aey | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| afr | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| agd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| agu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aia | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aii | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ajp | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aka | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ake | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| alp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| alq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| als | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| aly | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ame | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amh | 3 | 7 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| amk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| amx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ang | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| anh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| anp | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| anv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aoi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aoj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aom | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apc | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ape | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| apz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ara | 2 | 12 | 0 | 0 | 0 | 2 | 0 | 5 | 2 | 0 |
| arb | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| are | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| arl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| arn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| arp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| arq | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ars | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ary | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| arz | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| asm | 5 | 4 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| aso | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ast | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ata | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| atb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| atd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| atg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| att | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| auc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aui | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| auy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| avt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| awa | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| awb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| awk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| awx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ayr | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| azb | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| aze | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| azg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| azj | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| azz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bak | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bam | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ban | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bao | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bba | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bbb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bbc | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bbr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bch | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bco | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bdd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bea | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bef | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bel | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bem | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ben | 7 | 10 | 1 | 0 | 0 | 1 | 1 | 3 | 1 | 0 |
| beo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ber | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| beu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bgc | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bgs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bgt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bhb | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bhd | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bhg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bhl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bho | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| big | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjj | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjn | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bjz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bkd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bki | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bkq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bkx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| blw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| blz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bmh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bmk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bmr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bmu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bnp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bns | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| boa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bod | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| boj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bos | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| box | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| boy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bpr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bps | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bqc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bqp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bra | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bre | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| brx | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bsj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bsn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bsp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bss | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bug | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| buk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bul | 3 | 5 | 0 | 0 | 1 | 1 | 1 | 2 | 0 | 0 |
| bus | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bvd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bvr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bxh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| byr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| byx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bzd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bzh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| bzj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| caa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cab | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cac | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| caf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cak | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cao | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cap | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| car | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cat | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| cav | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cax | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbk | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cbv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cco | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ceb | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| cek | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ces | 4 | 6 | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 0 |
| cgc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cha | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chv | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| chz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cjk | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cjo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cjv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ckb | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| cle | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| clu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cme | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cmn | 4 | 10 | 4 | 0 | 0 | 3 | 4 | 10 | 9 | 0 |
| cmo | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cni | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cnl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cnt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| code | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 |
| cof | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| con | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cor | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cot | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cpa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cpb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cpc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cpu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cpy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| crh | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| crn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| crx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| csb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cso | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| csy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cta | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cth | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ctp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ctu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cuc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cui | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cuk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cut | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cux | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cwe | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cya | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| cym | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| daa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dad | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dah | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dan | 5 | 10 | 1 | 0 | 1 | 0 | 1 | 5 | 0 | 0 |
| ded | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| deu | 6 | 15 | 6 | 0 | 1 | 6 | 2 | 17 | 4 | 0 |
| dgc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dgr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dgz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dhg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dif | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dik | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| div | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dji | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| djk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| djr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dob | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| doi | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dov | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dsb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dtp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dwr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dww | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dwy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dyu | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dza | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| dzo | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ebk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| eko | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ell | 3 | 7 | 0 | 0 | 1 | 2 | 0 | 3 | 0 | 0 |
| emi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| emp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| eng | 12 | 144 | 16 | 3 | 1 | 8 | 5 | 52 | 12 | 1 |
| enq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| epo | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| eri | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ese | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| esk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| est | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 |
| etr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| eus | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ewe | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| faa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fai | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fao | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| far | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fas | 1 | 4 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 |
| ffm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fij | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fil | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fin | 3 | 6 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 0 |
| fon | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| for | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fra | 7 | 14 | 7 | 0 | 1 | 5 | 2 | 12 | 4 | 1 |
| fry | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fuc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fue | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fuf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fuh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fur | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| fuv | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| gah | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gai | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gam | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gaw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gaz | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| gbm | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gdn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gdr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| geb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gfk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ghs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gla | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gle | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| glg | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| glk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| glv | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gmv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gng | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gnn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gnw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gof | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gom | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| grc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| grn | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| gsw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| guh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gui | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| guj | 6 | 7 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| gul | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gum | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gun | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| guo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gup | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gux | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gvc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gvf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gvs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gwi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gym | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| gyr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| hau | 3 | 6 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| haw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hbo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hch | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| heb | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| heg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hin | 7 | 13 | 1 | 0 | 0 | 1 | 1 | 8 | 1 | 0 |
| hix | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hla | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hlt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hmn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hmo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hne | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hns | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hot | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hrv | 4 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| hsb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hto | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hui | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hun | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 |
| hus | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| huu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| huv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| hye | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| ian | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ibo | 2 | 6 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ido | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ign | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ikk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ikw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ile | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ilo | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| imo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ina | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| inb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ind | 4 | 8 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| ino | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| iou | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ipi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| isl | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| isn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ita | 5 | 10 | 0 | 0 | 1 | 2 | 1 | 5 | 3 | 0 |
| iws | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ixl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jac | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jae | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jao | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jav | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| jic | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jid | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jiv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jni | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| jpn | 5 | 9 | 2 | 0 | 0 | 1 | 0 | 5 | 2 | 0 |
| jvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kab | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kac | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| kam | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kan | 6 | 8 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| kaq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kas | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kat | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| kaz | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| kbc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kbh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kbm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kbp | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kbq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kdc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kde | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kdl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kea | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| kek | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ken | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kew | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kfg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kfy | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kgf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kgk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kgp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| khk | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| khm | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| khs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| khz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kik | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kin | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| kir | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| kiw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kiz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kje | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kjs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kkc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kkl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| klt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| klv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmb | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmr | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kms | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kmu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| knc | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kne | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| knf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| knj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| knv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kon | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kor | 4 | 9 | 0 | 0 | 0 | 2 | 0 | 6 | 3 | 0 |
| kos | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kpx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kqa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kqc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kqf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kql | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kqw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| krc | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ksd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ksj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ksr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ktm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kto | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kud | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kue | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kup | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kur | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kvg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kwd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kwf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kwi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kwj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kyc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kyf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kyg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kyq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kyz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kze | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| kzj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lac | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lao | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| lat | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lav | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| lbb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lbk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lcm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| leu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lex | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lfn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lgl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lid | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lif | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lij | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lim | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lin | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| lit | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| llg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lmo | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ltg | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ltz | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lua | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lug | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| luo | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| lus | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| lvs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| lww | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| maa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mad | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mag | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mai | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| maj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mal | 7 | 8 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| mam | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| maq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mar | 7 | 7 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| mau | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mav | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| max | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| maz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mbt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mca | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mco | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mcr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mdy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| med | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mee | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mek | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| meq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| met | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| meu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mey | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mgc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mgh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mgw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mhl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mhr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mib | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mic | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mie | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mig | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mih | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mil | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| min | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mio | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mir | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mit | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| miz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mjc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mkd | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| mkj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mkl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mkn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mle | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mlg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mlh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mlp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mlt | 2 | 3 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 0 |
| mmo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mmx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mna | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mni | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mon | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mos | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mox | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mph | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mpj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mpm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mpp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mps | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mpt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mpx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mqb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mqj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mri | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| msa | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| msb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| msc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| msk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| msm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| msy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mti | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mto | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mup | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mux | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| muy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mva | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mwc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mwe | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mwf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mwp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mwr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mxb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mxp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mxq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mxt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mya | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| myk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| myu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| myw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| myy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| mzz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nab | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| naf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nak | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nas | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nbl | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nbq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nca | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nch | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ncj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ncl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ncu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nde | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ndg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ndj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nds | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nep | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nfa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ngp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ngu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhe | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nho | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nhy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nif | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nii | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nij | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nin | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nko | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nld | 6 | 7 | 0 | 0 | 1 | 0 | 1 | 2 | 2 | 0 |
| nlg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nna | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nno | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nnq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| noa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nob | 5 | 8 | 4 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
| noe | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nor | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| not | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nou | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nov | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| npi | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| npl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nqo | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nsn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nso | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| nss | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ntj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ntp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ntu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nus | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nuy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nvm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nwi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nya | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| nys | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| nyu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| obo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| oci | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| okv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| omw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ong | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ons | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ood | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| opm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ori | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| orm | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| orv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ory | 5 | 5 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| ote | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| otm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| otn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| otq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ots | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pab | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pad | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pag | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pah | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pam | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pan | 6 | 7 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 |
| pao | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pap | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pbt | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| pcm | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pes | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| pib | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pio | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pir | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| piu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pjt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pls | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| plt | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| plu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pma | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pms | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| poe | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| poh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| poi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pol | 4 | 12 | 3 | 0 | 1 | 4 | 0 | 13 | 4 | 0 |
| pon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| por | 4 | 10 | 0 | 0 | 2 | 2 | 1 | 5 | 3 | 0 |
| poy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ppo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| prf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pri | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| prs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ptp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ptu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pus | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| pwg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| quc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| quf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| quh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qul | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qup | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| quy | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qve | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qvz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qwh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qxh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qxn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| qxo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rai | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| raj | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| reg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rgu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rkb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rmc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rmy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rom | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ron | 5 | 7 | 0 | 0 | 1 | 0 | 1 | 3 | 1 | 0 |
| roo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rop | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| row | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rro | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ruf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rug | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| run | 1 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| rus | 5 | 7 | 2 | 0 | 0 | 3 | 0 | 6 | 3 | 0 |
| rwo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sab | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sag | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sah | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| san | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| sat | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sbe | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sbk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sbs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| scn | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sco | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| seh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sey | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sgb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sgz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| shi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| shj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| shn | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| shp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sim | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sin | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| sja | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| slk | 3 | 4 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 |
| sll | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| slv | 3 | 5 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| smk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| smo | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sna | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| snc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| snd | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| snn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| snp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| snx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sny | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| som | 3 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| soq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sot | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| soy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| spa | 4 | 14 | 3 | 0 | 1 | 2 | 1 | 11 | 4 | 0 |
| spl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| spm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| spp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sps | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| spy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sqi | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| srd | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sri | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| srm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| srn | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| srp | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 |
| srq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ssd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ssg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ssw | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| ssx | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| stp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sua | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sue | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sun | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| sus | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| suz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| svk | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| swa | 1 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| swe | 4 | 9 | 2 | 0 | 1 | 1 | 1 | 4 | 0 | 0 |
| swg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| swh | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| swp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| sxb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| szl | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tac | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tah | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| taj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tam | 7 | 8 | 1 | 0 | 0 | 1 | 0 | 3 | 1 | 0 |
| taq | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tat | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tav | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| taw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tbc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tbf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tbg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tbo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tbz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tca | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tcs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tcz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tdt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tee | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tel | 7 | 8 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| ter | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tet | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tew | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tfr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tgk | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| tgl | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| tgo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tgp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tha | 4 | 9 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 |
| tif | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tim | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tir | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| tiw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tiy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tke | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tku | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tlf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tmd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tna | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tnc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tnk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tnn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tnp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| toc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tod | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tof | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| toj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ton | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| too | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| top | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tos | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tpa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tpi | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tpt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tpz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| trc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tsn | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| tso | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| tsw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ttc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tte | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tuc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tue | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tuf | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tuk | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tum | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tuo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tur | 4 | 8 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 0 |
| tvk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| twi | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| txq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| txu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tyv | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tzj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tzl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tzm | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| tzo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ubr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ubu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| udu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| uig | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ukr | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| uli | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ulk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| umb | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| upv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ura | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| urb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| urd | 7 | 9 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| uri | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| urt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| urw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| usa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| usp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| uvh | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| uvl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| uzb | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| uzn | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| vec | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ven | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| vid | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| vie | 5 | 7 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 0 |
| viv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| vmy | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| waj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wal | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wap | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| war | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| wat | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wbi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wbp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wed | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wer | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wim | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wiu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wiv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wln | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wmt | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wmw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wnc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wnu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wol | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| wos | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wrk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wro | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wrs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wsk | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wuu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| wuv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xav | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xbi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xed | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xho | 3 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| xla | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xnn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xsi | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xtd | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| xtm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yaa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yad | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yal | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yap | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yaq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yby | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ycn | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ydd | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yid | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yka | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yle | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yml | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yor | 3 | 6 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| yrb | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yre | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yss | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yue | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yuj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yut | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yuw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| yva | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zaa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zab | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zac | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zad | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zai | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zaj | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zam | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zao | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zap | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zar | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zas | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zat | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zav | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zaw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zca | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zga | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zho | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 7 | 0 | 0 |
| zia | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ziw | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zlm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zos | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpc | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpl | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpm | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpu | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpv | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zpz | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zsm | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| zsr | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ztq | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zty | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| zul | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| zyp | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 1363 | 963 | 105 | 3 | 25 | 66 | 28 | 331 | 72 | 2 |
<!-- TASK LANG TABLE END -->
</details>
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