tasks.md

Available tasks

The following tables give you an overview of the tasks in MTEB.

Name	Languages	Type	Category	Domains	# Samples	Dataset statistics
AFQMC	['cmn']	STS	s2s		None	None
AILACasedocs	['eng']	Retrieval	p2p	[Legal, Written]	None	None
AILAStatutes	['eng']	Retrieval	p2p	[Legal, Written]	None	None
AJGT (Alomari et al., 2017)	['ara']	Classification	s2s	[Social, Written]	None	None
ARCChallenge (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
ATEC	['cmn']	STS	s2s		None	None
AfriSentiClassification	['amh', 'arq', 'ary', 'hau', 'ibo', 'kin', 'pcm', 'por', 'swa', 'tso', 'twi', 'yor']	Classification	s2s	[Social, Written]	None	None
AfriSentiLangClassification	['amh', 'arq', 'ary', 'hau', 'ibo', 'kin', 'pcm', 'por', 'swa', 'tso', 'twi', 'yor']	Classification	s2s	[Social, Written]	None	None
AllegroReviews	['pol']	Classification	s2s		None	None
AlloProfClusteringP2P.v2 (Lefebvre-Brossard et al., 2023)	['fra']	Clustering	p2p	[Encyclopaedic, Written]	None	None
AlloProfClusteringS2S.v2 (Lefebvre-Brossard et al., 2023)	['fra']	Clustering	s2s	[Encyclopaedic, Written]	None	None
AlloprofReranking (Lefebvre-Brossard et al., 2023)	['fra']	Reranking	s2p	[Web, Academic, Written]	None	None
AlloprofRetrieval (Lefebvre-Brossard et al., 2023)	['fra']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
AlphaNLI (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
AmazonCounterfactualClassification	['deu', 'eng', 'jpn']	Classification	s2s	[Reviews, Written]	None	None
AmazonPolarityClassification (Julian McAuley, 2013)	['eng']	Classification	p2p	[Reviews, Written]	None	None
AmazonReviewsClassification (Phillip Keung, 2020)	['cmn', 'deu', 'eng', 'fra', 'jpn', 'spa']	Classification	s2s	[Reviews, Written]	None	None
AngryTweetsClassification (Pauli et al., 2021)	['dan']	Classification	s2s	[Social, Written]	None	None
AppsRetrieval (Dan Hendrycks, 2021)	['eng', 'python']	Retrieval	p2p	[Programming, Written]	{'test': 12530}	{'test': {'number_of_characters': 2245.84, 'num_samples': 12530, 'num_queries': 3765, 'num_documents': 8765, 'average_document_length': 0.07, 'average_query_length': 0.44, 'average_relevant_docs_per_query': 1.0}}
ArEntail (Obeidat et al., 2024)	['ara']	PairClassification	s2s	[News, Written]	None	None
ArXivHierarchicalClusteringP2P	['eng']	Clustering	p2p	[Academic, Written]	{'test': 2048}	{'test': {'num_samples': 2048, 'number_of_characters': 2065284, 'average_text_length': 1008.44, 'average_labels_per_text': 1.46, 'unique_labels': 129, 'labels': {'cs': {'count': 356}, 'math': {'count': 381}, 'OC': {'count': 11}, 'hep-lat': {'count': 13}, 'hep': {'count': 98}, 'astro-ph': {'count': 213}, 'eess': {'count': 76}, 'quant-ph': {'count': 135}, 'DC': {'count': 5}, 'cond-mat': {'count': 274}, 'hep-th': {'count': 66}, 'SP': {'count': 33}, 'hep-ph': {'count': 69}, 'FA': {'count': 6}, 'nucl-th': {'count': 17}, 'q-bio': {'count': 80}, 'HE': {'count': 22}, 'HC': {'count': 2}, 'stat': {'count': 60}, 'ML': {'count': 16}, 'IV': {'count': 13}, 'stat-mech': {'count': 47}, 'DS': {'count': 14}, 'ME': {'count': 12}, 'CC': {'count': 2}, 'mtrl-sci': {'count': 22}, 'PE': {'count': 16}, 'NT': {'count': 11}, 'SC': {'count': 6}, 'AG': {'count': 13}, 'physics': {'count': 81}, 'ins-det': {'count': 9}, 'GA': {'count': 18}, 'BM': {'count': 6}, 'GN': {'count': 17}, 'NA': {'count': 15}, 'app-ph': {'count': 7}, 'RT': {'count': 6}, 'other': {'count': 37}, 'soft': {'count': 15}, 'CO': {'count': 33}, 'supr-con': {'count': 21}, 'chem-ph': {'count': 3}, 'DM': {'count': 2}, 'MN': {'count': 12}, 'q-fin': {'count': 27}, 'PM': {'count': 2}, 'AP': {'count': 27}, 'gr-qc': {'count': 15}, 'quant-gas': {'count': 8}, 'mes-hall': {'count': 33}, 'IT': {'count': 19}, 'SI': {'count': 6}, 'SG': {'count': 3}, 'bio-ph': {'count': 2}, 'SR': {'count': 16}, 'soc-ph': {'count': 5}, 'hep-ex': {'count': 15}, 'DG': {'count': 11}, 'NE': {'count': 5}, 'CR': {'count': 6}, 'CL': {'count': 12}, 'RM': {'count': 3}, 'econ': {'count': 17}, 'nlin': {'count': 5}, 'PS': {'count': 1}, 'LG': {'count': 26}, 'QA': {'count': 9}, 'str-el': {'count': 26}, 'CV': {'count': 34}, 'MF': {'count': 6}, 'IM': {'count': 7}, 'EM': {'count': 6}, 'TH': {'count': 5}, 'PR': {'count': 20}, 'AT': {'count': 4}, 'OA': {'count': 4}, 'CP': {'count': 6}, 'LO': {'count': 14}, 'flu-dyn': {'count': 6}, 'atom-ph': {'count': 8}, 'class-ph': {'count': 1}, 'SY': {'count': 20}, 'IR': {'count': 1}, 'plasm-ph': {'count': 8}, 'CE': {'count': 2}, 'AO': {'count': 1}, 'comp-ph': {'count': 3}, 'optics': {'count': 12}, 'MG': {'count': 4}, 'ST': {'count': 6}, 'nucl-ex': {'count': 6}, 'CY': {'count': 9}, 'ao-ph': {'count': 2}, 'DB': {'count': 1}, 'math-ph': {'count': 10}, 'NC': {'count': 13}, 'GT': {'count': 11}, 'TO': {'count': 2}, 'AI': {'count': 9}, 'NI': {'count': 2}, 'gen-ph': {'count': 4}, 'OT': {'count': 4}, 'SD': {'count': 2}, 'dis-nn': {'count': 4}, 'RO': {'count': 7}, 'CA': {'count': 6}, 'FL': {'count': 1}, 'SE': {'count': 5}, 'EP': {'count': 9}, 'hist-ph': {'count': 1}, 'QM': {'count': 9}, 'ed-ph': {'count': 2}, 'GR': {'count': 4}, 'MS': {'count': 1}, 'CD': {'count': 1}, 'ET': {'count': 1}, 'acc-ph': {'count': 5}, 'AC': {'count': 2}, 'OH': {'count': 1}, 'EC': {'count': 2}, 'DL': {'count': 1}, 'AS': {'count': 3}, 'geo-ph': {'count': 2}, 'CG': {'count': 3}, 'CB': {'count': 1}, 'AR': {'count': 1}, 'TR': {'count': 1}, 'atm-clus': {'count': 1}}}}
ArXivHierarchicalClusteringS2S	['eng']	Clustering	p2p	[Academic, Written]	None	None
ArguAna (Boteva et al., 2016)	['eng']	Retrieval	s2p	[Medical, Written]	None	None
ArguAna-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
ArmenianParaphrasePC (Arthur Malajyan, 2020)	['hye']	PairClassification	s2s	[News, Written]	None	None
ArxivClassification (He et al., 2019)	['eng']	Classification	s2s	[Academic, Written]	None	None
AskUbuntuDupQuestions	['eng']	Reranking	s2s		{'test': 375}	{'test': {'num_samples': 375, 'number_of_characters': 413674, 'num_positive': 2255, 'num_negative': 5245, 'avg_query_len': 50.21, 'avg_positive_len': 52.54, 'avg_negative_len': 52.69}}
Assin2RTE (Real et al., 2020)	['por']	PairClassification	s2s	[Written]	None	None
Assin2STS (Real et al., 2020)	['por']	STS	s2s	[Written]	None	None
AutoRAGRetrieval (Dongkyu Kim, 2024)	['kor']	Retrieval	s2p	[Government, Medical, Legal, Social]	{'test': 834}	{'test': {'number_of_characters': 894.22, 'num_samples': 834, 'num_queries': 114, 'num_documents': 720, 'average_document_length': 1.15, 'average_query_length': 0.61, 'average_relevant_docs_per_query': 1.0}}
BIOSSES (Soğancıoğlu et al., 2017)	['eng']	STS	s2s		None	None
BQ (Shitao Xiao, 2024)	['cmn']	STS	s2s		None	None
BSARDRetrieval (Louis et al., 2022)	['fra']	Retrieval	s2p	[Legal, Spoken]	None	None
BUCC.v2	['cmn', 'deu', 'eng', 'fra', 'rus']	BitextMining	s2s	[Written]	None	None
Banking77Classification	['eng']	Classification	s2s	[Written]	None	None
BelebeleRetrieval (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, Written]	{'test': 521866}	{'test': {'number_of_characters': 76.5, 'num_samples': 521866, 'num_queries': 338378, 'num_documents': 183488, 'average_document_length': 0.0, 'average_query_length': 0.0, 'average_relevant_docs_per_query': 1.0, 'hf_subset_descriptive_stats': {'acm_Arab-acm_Arab': {'number_of_characters': 57.84, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'acm_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-acm_Arab': {'number_of_characters': 57.84, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'afr_Latn-afr_Latn': {'number_of_characters': 80.05, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'afr_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-afr_Latn': {'number_of_characters': 80.05, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'als_Latn-als_Latn': {'number_of_characters': 78.14, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'als_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-als_Latn': {'number_of_characters': 78.14, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'amh_Ethi-amh_Ethi': {'number_of_characters': 51.16, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0}, 'amh_Ethi-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-amh_Ethi': {'number_of_characters': 51.16, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0}, 'apc_Arab-apc_Arab': {'number_of_characters': 57.86, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'apc_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-apc_Arab': {'number_of_characters': 57.86, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'arb_Arab-arb_Arab': {'number_of_characters': 60.55, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'arb_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-arb_Arab': {'number_of_characters': 60.55, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'arb_Latn-arb_Latn': {'number_of_characters': 69.02, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'arb_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-arb_Latn': {'number_of_characters': 69.02, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'ars_Arab-ars_Arab': {'number_of_characters': 58.43, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'ars_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ars_Arab': {'number_of_characters': 58.43, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'ary_Arab-ary_Arab': {'number_of_characters': 68.02, 'num_samples': 1386, 'num_queries': 898, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'ary_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ary_Arab': {'number_of_characters': 68.02, 'num_samples': 1386, 'num_queries': 898, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'arz_Arab-arz_Arab': {'number_of_characters': 59.14, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'arz_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-arz_Arab': {'number_of_characters': 59.14, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'asm_Beng-asm_Beng': {'number_of_characters': 70.26, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'asm_Beng-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-asm_Beng': {'number_of_characters': 70.26, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'azj_Latn-azj_Latn': {'number_of_characters': 75.51, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'azj_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-azj_Latn': {'number_of_characters': 75.51, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'bam_Latn-bam_Latn': {'number_of_characters': 74.34, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'bam_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-bam_Latn': {'number_of_characters': 74.34, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ben_Beng-ben_Beng': {'number_of_characters': 71.48, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ben_Beng-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ben_Beng': {'number_of_characters': 71.48, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ben_Latn-ben_Latn': {'number_of_characters': 76.79, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ben_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ben_Latn': {'number_of_characters': 76.79, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'bod_Tibt-bod_Tibt': {'number_of_characters': 88.9, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'bod_Tibt-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-bod_Tibt': {'number_of_characters': 88.9, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'bul_Cyrl-bul_Cyrl': {'number_of_characters': 74.89, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'bul_Cyrl-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-bul_Cyrl': {'number_of_characters': 74.89, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'cat_Latn-cat_Latn': {'number_of_characters': 77.41, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'cat_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-cat_Latn': {'number_of_characters': 77.41, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ceb_Latn-ceb_Latn': {'number_of_characters': 83.2, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'ceb_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ceb_Latn': {'number_of_characters': 83.2, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'ces_Latn-ces_Latn': {'number_of_characters': 69.73, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 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'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tgk_Cyrl': {'number_of_characters': 76.28, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'tgl_Latn-tgl_Latn': {'number_of_characters': 84.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'tgl_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tgl_Latn': {'number_of_characters': 84.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'tha_Thai-tha_Thai': {'number_of_characters': 61.47, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'tha_Thai-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tha_Thai': {'number_of_characters': 61.47, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'tir_Ethi-tir_Ethi': {'number_of_characters': 54.0, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'tir_Ethi-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tir_Ethi': {'number_of_characters': 54.0, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'tsn_Latn-tsn_Latn': {'number_of_characters': 89.13, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'tsn_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tsn_Latn': {'number_of_characters': 89.13, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'tso_Latn-tso_Latn': {'number_of_characters': 93.69, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'tso_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tso_Latn': {'number_of_characters': 93.69, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'tur_Latn-tur_Latn': {'number_of_characters': 73.56, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'tur_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-tur_Latn': {'number_of_characters': 73.56, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ukr_Cyrl-ukr_Cyrl': {'number_of_characters': 74.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ukr_Cyrl-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-ukr_Cyrl': {'number_of_characters': 74.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'urd_Arab-urd_Arab': {'number_of_characters': 72.53, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'urd_Arab-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-urd_Arab': {'number_of_characters': 72.53, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'urd_Latn-urd_Latn': {'number_of_characters': 92.07, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'urd_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-urd_Latn': {'number_of_characters': 92.07, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'uzn_Latn-uzn_Latn': {'number_of_characters': 79.61, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'uzn_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-uzn_Latn': {'number_of_characters': 79.61, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'vie_Latn-vie_Latn': {'number_of_characters': 75.05, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'vie_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-vie_Latn': {'number_of_characters': 75.05, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'war_Latn-war_Latn': {'number_of_characters': 88.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'war_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-war_Latn': {'number_of_characters': 88.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'wol_Latn-wol_Latn': {'number_of_characters': 72.61, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'wol_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-wol_Latn': {'number_of_characters': 72.61, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'xho_Latn-xho_Latn': {'number_of_characters': 80.5, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'xho_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-xho_Latn': {'number_of_characters': 80.5, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'yor_Latn-yor_Latn': {'number_of_characters': 70.64, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'yor_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-yor_Latn': {'number_of_characters': 70.64, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'zho_Hans-zho_Hans': {'number_of_characters': 23.75, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}, 'zho_Hans-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-zho_Hans': {'number_of_characters': 23.75, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}, 'zho_Hant-zho_Hant': {'number_of_characters': 23.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}, 'zho_Hant-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-zho_Hant': {'number_of_characters': 23.08, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}, 'zsm_Latn-zsm_Latn': {'number_of_characters': 80.92, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'zsm_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-zsm_Latn': {'number_of_characters': 80.92, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'zul_Latn-zul_Latn': {'number_of_characters': 78.04, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'zul_Latn-eng_Latn': {'number_of_characters': 79.35, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.09, 'average_relevant_docs_per_query': 1.0}, 'eng_Latn-zul_Latn': {'number_of_characters': 78.04, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'arb_Arab-arb_Latn': {'number_of_characters': 69.02, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'arb_Latn-arb_Arab': {'number_of_characters': 60.55, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'ben_Beng-ben_Latn': {'number_of_characters': 76.79, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'ben_Latn-ben_Beng': {'number_of_characters': 71.48, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'hin_Deva-hin_Latn': {'number_of_characters': 76.81, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'hin_Latn-hin_Deva': {'number_of_characters': 74.62, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'npi_Deva-npi_Latn': {'number_of_characters': 73.9, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'npi_Latn-npi_Deva': {'number_of_characters': 68.9, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'sin_Sinh-sin_Latn': {'number_of_characters': 96.47, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'sin_Latn-sin_Sinh': {'number_of_characters': 71.92, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}, 'urd_Arab-urd_Latn': {'number_of_characters': 92.07, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'urd_Latn-urd_Arab': {'number_of_characters': 72.53, 'num_samples': 1388, 'num_queries': 900, 'num_documents': 488, 'average_document_length': 0.0, 'average_query_length': 0.08, 'average_relevant_docs_per_query': 1.0}}}}
BengaliDocumentClassification	['ben']	Classification	s2s	[News, Written]	None	None
BengaliHateSpeechClassification (Karim et al., 2020)	['ben']	Classification	s2s	[News, Written]	None	None
BengaliSentimentAnalysis (Sazzed et al., 2020)	['ben']	Classification	s2s	[Reviews, Written]	None	None
BibleNLPBitextMining (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, Written]	None	None
BigPatentClustering.v2 (Eva Sharma and Chen Li and Lu Wang, 2019)	['eng']	Clustering	p2p	[Legal, Written]	None	None
BiorxivClusteringP2P.v2	['eng']	Clustering	p2p	[Academic, Written]	None	None
BiorxivClusteringS2S.v2	['eng']	Clustering	s2s	[Academic, Written]	None	None
BlurbsClusteringP2P.v2 (Steffen Remus, 2019)	['deu']	Clustering	p2p	[Fiction, Written]	None	None
BlurbsClusteringS2S.v2 (Steffen Remus, 2019)	['deu']	Clustering	s2s	[Fiction, Written]	None	None
BornholmBitextMining	['dan']	BitextMining	s2s	[Web, Social, Fiction, Written]	{'test': 500}	{'test': {'average_sentence1_length': 49.83, 'average_sentence2_length': 38.89, 'num_samples': 500, 'number_of_characters': 44361}}
BrazilianToxicTweetsClassification (Joao Augusto Leite and Diego F. Silva and Kalina Bontcheva and Carolina Scarton, 2020)	['por']	MultilabelClassification	s2s	[Constructed, Written]	None	None
BrightRetrieval (Hongjin Su, 2024)	['eng']	Retrieval	s2p	[Non-fiction]	None	None
BulgarianStoreReviewSentimentClassfication (Georgieva-Trifonova et al., 2018)	['bul']	Classification	s2s	[Reviews, Written]	None	None
CBD	['pol']	Classification	s2s	[Written, Social]	None	None
CDSC-E	['pol']	PairClassification	s2s	[Written]	None	None
CDSC-R	['pol']	STS	s2s	[Web, Written]	None	None
CEDRClassification (Sboev et al., 2021)	['rus']	MultilabelClassification	s2s	[Web, Social, Blog, Written]	{'test': 1882}	{'test': {'average_text_length': 91.21, 'number_of_characters': 171649, 'average_label_per_text': 0.62, 'num_samples': 1882, 'unique_labels': 6, 'labels': {'None': {'count': 734}, '3': {'count': 141}, '2': {'count': 170}, '1': {'count': 379}, '0': {'count': 353}, '4': {'count': 125}}}}
CLSClusteringP2P.v2 (Yudong Li, 2022)	['cmn']	Clustering	p2p	[Academic, Written]	None	None
CLSClusteringS2S.v2 (Yudong Li, 2022)	['cmn']	Clustering	s2s	[Academic, Written]	None	None
CMedQAv1-reranking (Zhang et al., 2017)	['cmn']	Reranking	s2s	[Medical, Written]	None	None
CMedQAv2-reranking (S. Zhang, 2018)	['cmn']	Reranking	s2s		None	None
COIRCodeSearchNetRetrieval (Husain et al., 2019)	['go', 'java', 'javascript', 'php', 'python', 'ruby']	Retrieval	p2p	[Programming, Written]	{'test': 1056326}	{'test': {'number_of_characters': 664.77, 'num_samples': 1056326, 'num_queries': 52561, 'num_documents': 1003765, 'average_document_length': 0.0, 'average_query_length': 0.01, 'average_relevant_docs_per_query': 1.0, 'hf_subset_descriptive_stats': {'python': {'number_of_characters': 941.4, 'num_samples': 295228, 'num_queries': 14918, 'num_documents': 280310, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'javascript': {'number_of_characters': 748.83, 'num_samples': 68145, 'num_queries': 3291, 'num_documents': 64854, 'average_document_length': 0.0, 'average_query_length': 0.23, 'average_relevant_docs_per_query': 1.0}, 'go': {'number_of_characters': 405.38, 'num_samples': 190562, 'num_queries': 8122, 'num_documents': 182440, 'average_document_length': 0.0, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0}, 'ruby': {'number_of_characters': 457.44, 'num_samples': 28831, 'num_queries': 1261, 'num_documents': 27570, 'average_document_length': 0.0, 'average_query_length': 0.36, 'average_relevant_docs_per_query': 1.0}, 'java': {'number_of_characters': 588.89, 'num_samples': 191821, 'num_queries': 10955, 'num_documents': 180866, 'average_document_length': 0.0, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0}, 'php': {'number_of_characters': 578.85, 'num_samples': 281739, 'num_queries': 14014, 'num_documents': 267725, 'average_document_length': 0.0, 'average_query_length': 0.04, 'average_relevant_docs_per_query': 1.0}}}}
CPUSpeedTask	['eng']	Speed	s2s	[Fiction, Written]	None	None
CQADupstackAndroidRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackEnglishRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackGamingRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackGisRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackMathematicaRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackPhysicsRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackProgrammersRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p	[Programming, Written, Non-fiction]	None	None
CQADupstackStatsRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackTexRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackUnixRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackWebmastersRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CQADupstackWordpressRetrieval (Hoogeveen et al., 2015)	['eng']	Retrieval	s2p		None	None
CSFDCZMovieReviewSentimentClassification (Michal Štefánik, 2023)	['ces']	Classification	s2s	[Reviews, Written]	None	None
CSFDSKMovieReviewSentimentClassification (Michal Štefánik, 2023)	['slk']	Classification	s2s	[Reviews, Written]	None	None
CTKFactsNLI (Ullrich et al., 2023)	['ces']	PairClassification	s2s	[News, Written]	None	None
CUADAffiliateLicenseLicenseeLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADAffiliateLicenseLicensorLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADAntiAssignmentLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADAuditRightsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADCapOnLiabilityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADChangeOfControlLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADCompetitiveRestrictionExceptionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADCovenantNotToSueLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADEffectiveDateLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADExclusivityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADExpirationDateLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADGoverningLawLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADIPOwnershipAssignmentLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADInsuranceLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADIrrevocableOrPerpetualLicenseLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADJointIPOwnershipLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADLicenseGrantLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADLiquidatedDamagesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADMinimumCommitmentLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADMostFavoredNationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNoSolicitOfCustomersLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNoSolicitOfEmployeesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNonCompeteLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNonDisparagementLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNonTransferableLicenseLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADNoticePeriodToTerminateRenewalLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADPostTerminationServicesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADPriceRestrictionsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADRenewalTermLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADRevenueProfitSharingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADRofrRofoRofnLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADSourceCodeEscrowLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADTerminationForConvenienceLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADThirdPartyBeneficiaryLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADUncappedLiabilityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADUnlimitedAllYouCanEatLicenseLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADVolumeRestrictionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CUADWarrantyDurationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CanadaTaxCourtOutcomesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CataloniaTweetClassification	['cat', 'spa']	Classification	s2s	[Social, Government, Written]	None	None
ClimateFEVER (Thomas Diggelmann, 2021)	['eng']	Retrieval	s2p		None	None
ClimateFEVERHardNegatives (Thomas Diggelmann, 2021)	['eng']	Retrieval	s2p		None	None
CmedqaRetrieval	['cmn']	Retrieval	s2p		None	None
Cmnli	['cmn']	PairClassification	s2s		None	None
CodeEditSearchRetrieval (Niklas Muennighoff, 2023)	['c', 'c++', 'go', 'java', 'javascript', 'php', 'python', 'ruby', 'rust', 'scala', 'shell', 'swift', 'typescript']	Retrieval	p2p	[Programming, Written]	{'train': 26000}	{'train': {'number_of_characters': 71.99, 'num_samples': 26000, 'num_queries': 13000, 'num_documents': 13000, 'average_document_length': 0.0, 'average_query_length': 0.01, 'average_relevant_docs_per_query': 1.0, 'hf_subset_descriptive_stats': {'python': {'number_of_characters': 70.52, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'javascript': {'number_of_characters': 57.88, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'typescript': {'number_of_characters': 61.09, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'go': {'number_of_characters': 71.8, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'ruby': {'number_of_characters': 67.9, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'java': {'number_of_characters': 63.98, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'php': {'number_of_characters': 62.93, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'c': {'number_of_characters': 98.59, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.1, 'average_relevant_docs_per_query': 1.0}, 'c++': {'number_of_characters': 115.48, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.11, 'average_relevant_docs_per_query': 1.0}, 'rust': {'number_of_characters': 68.5, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}, 'swift': {'number_of_characters': 58.28, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'scala': {'number_of_characters': 65.83, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.06, 'average_relevant_docs_per_query': 1.0}, 'shell': {'number_of_characters': 73.06, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}}}}
CodeFeedbackMT (Tianyu Zheng, 2024)	['eng']	Retrieval	p2p	[Programming, Written]	{'test': 79660}	{'test': {'number_of_characters': 5894.4, 'num_samples': 79660, 'num_queries': 13277, 'num_documents': 66383, 'average_document_length': 0.02, 'average_query_length': 0.33, 'average_relevant_docs_per_query': 1.0}}
CodeFeedbackST (Xiangyang Li, 2024)	['eng']	Retrieval	p2p	[Programming, Written]	{'test': 187832}	{'test': {'number_of_characters': 2246.58, 'num_samples': 187832, 'num_queries': 31306, 'num_documents': 156526, 'average_document_length': 0.01, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}}
CodeSearchNetCCRetrieval (Xiangyang Li, 2024)	['go', 'java', 'javascript', 'php', 'python', 'ruby']	Retrieval	p2p	[Programming, Written]	{'test': 1058035}	{'test': {'number_of_characters': 390.06, 'num_samples': 1058035, 'num_queries': 52561, 'num_documents': 1005474, 'average_document_length': 0.0, 'average_query_length': 0.01, 'average_relevant_docs_per_query': 1.0, 'hf_subset_descriptive_stats': {'python': {'number_of_characters': 553.79, 'num_samples': 295570, 'num_queries': 14918, 'num_documents': 280652, 'average_document_length': 0.0, 'average_query_length': 0.04, 'average_relevant_docs_per_query': 1.0}, 'javascript': {'number_of_characters': 445.71, 'num_samples': 68492, 'num_queries': 3291, 'num_documents': 65201, 'average_document_length': 0.0, 'average_query_length': 0.13, 'average_relevant_docs_per_query': 1.0}, 'go': {'number_of_characters': 235.77, 'num_samples': 190857, 'num_queries': 8122, 'num_documents': 182735, 'average_document_length': 0.0, 'average_query_length': 0.03, 'average_relevant_docs_per_query': 1.0}, 'ruby': {'number_of_characters': 268.87, 'num_samples': 28849, 'num_queries': 1261, 'num_documents': 27588, 'average_document_length': 0.0, 'average_query_length': 0.21, 'average_relevant_docs_per_query': 1.0}, 'java': {'number_of_characters': 344.53, 'num_samples': 192016, 'num_queries': 10955, 'num_documents': 181061, 'average_document_length': 0.0, 'average_query_length': 0.03, 'average_relevant_docs_per_query': 1.0}, 'php': {'number_of_characters': 338.62, 'num_samples': 282251, 'num_queries': 14014, 'num_documents': 268237, 'average_document_length': 0.0, 'average_query_length': 0.02, 'average_relevant_docs_per_query': 1.0}}}}
CodeSearchNetRetrieval (Husain et al., 2019)	['go', 'java', 'javascript', 'php', 'python', 'ruby']	Retrieval	p2p	[Programming, Written]	{'test': 12000}	{'test': {'number_of_characters': 325.01, 'num_samples': 12000, 'num_queries': 6000, 'num_documents': 6000, 'average_document_length': 0.0, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0, 'hf_subset_descriptive_stats': {'python': {'number_of_characters': 467.55, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.47, 'average_relevant_docs_per_query': 1.0}, 'javascript': {'number_of_characters': 187.02, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.19, 'average_relevant_docs_per_query': 1.0}, 'go': {'number_of_characters': 126.21, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.13, 'average_relevant_docs_per_query': 1.0}, 'ruby': {'number_of_characters': 314.82, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.31, 'average_relevant_docs_per_query': 1.0}, 'java': {'number_of_characters': 691.36, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.69, 'average_relevant_docs_per_query': 1.0}, 'php': {'number_of_characters': 163.12, 'num_samples': 2000, 'num_queries': 1000, 'num_documents': 1000, 'average_document_length': 0.0, 'average_query_length': 0.16, 'average_relevant_docs_per_query': 1.0}}}}
CodeTransOceanContest (Weixiang Yan, 2023)	['c++', 'python']	Retrieval	p2p	[Programming, Written]	{'test': 1229}	{'test': {'number_of_characters': 2520.65, 'num_samples': 1229, 'num_queries': 221, 'num_documents': 1008, 'average_document_length': 1.5, 'average_query_length': 4.58, 'average_relevant_docs_per_query': 1.0}}
CodeTransOceanDL (Weixiang Yan, 2023)	['python']	Retrieval	p2p	[Programming, Written]	{'test': 996}	{'test': {'number_of_characters': 3347.7, 'num_samples': 996, 'num_queries': 180, 'num_documents': 816, 'average_document_length': 1.81, 'average_query_length': 10.38, 'average_relevant_docs_per_query': 1.0}}
ContractNLIConfidentialityOfAgreementLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIExplicitIdentificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLILimitedUseLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLINoLicensingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLINoticeOnCompelledDisclosureLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIPermissibleCopyLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLIReturnOfConfidentialInformationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLISharingWithEmployeesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLISharingWithThirdPartiesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ContractNLISurvivalOfObligationsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Core17InstructionRetrieval (Orion Weller, 2024)	['eng']	InstructionRetrieval	s2p	[News, Written]	{'test': 19919}	{'test': {'num_samples': 19919, 'num_docs': 19899, 'num_queries': 20, 'number_of_characters': 44450333, 'average_document_length': 2233.03, 'average_query_length': 109.75, 'average_instruction_length': 295.55, 'average_changed_instruction_length': 355.2, 'average_relevant_docs_per_query': 32.7, 'average_top_ranked_per_query': 1000.0}}
CorporateLobbyingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
CosQA (Junjie Huang, 2021)	['eng', 'python']	Retrieval	p2p	[Programming, Written]	{'test': 21104}	{'test': {'number_of_characters': 313.95, 'num_samples': 21104, 'num_queries': 500, 'num_documents': 20604, 'average_document_length': 0.01, 'average_query_length': 0.07, 'average_relevant_docs_per_query': 1.0}}
CovidRetrieval	['cmn']	Retrieval	s2p		None	None
CrossLingualSemanticDiscriminationWMT19	['deu', 'fra']	Retrieval	s2s	[News, Written]	None	None
CrossLingualSemanticDiscriminationWMT21	['deu', 'fra']	Retrieval	s2s	[News, Written]	None	None
CyrillicTurkicLangClassification (Goldhahn et al., 2012)	['bak', 'chv', 'kaz', 'kir', 'krc', 'rus', 'sah', 'tat', 'tyv']	Classification	s2s	[Web, Written]	None	None
CzechProductReviewSentimentClassification	['ces']	Classification	s2s	[Reviews, Written]	None	None
CzechSoMeSentimentClassification	['ces']	Classification	s2s	[Reviews, Written]	None	None
CzechSubjectivityClassification	['ces']	Classification	s2s	[Reviews, Written]	None	None
DBPedia (Hasibi et al., 2017)	['eng']	Retrieval	s2p	[Written, Encyclopaedic]	None	None
DBPedia-PL (Hasibi et al., 2017)	['pol']	Retrieval	s2p	[Written, Encyclopaedic]	None	None
DBPedia-PLHardNegatives (Hasibi et al., 2017)	['pol']	Retrieval	s2p	[Written, Encyclopaedic]	None	None
DBPediaHardNegatives (Hasibi et al., 2017)	['eng']	Retrieval	s2p	[Written, Encyclopaedic]	None	None
DBpediaClassification (Zhang et al., 2015)	['eng']	Classification	s2s	[Encyclopaedic, Written]	None	None
DKHateClassification	['dan']	Classification	s2s	[Social, Written]	None	None
DalajClassification	['swe']	Classification	s2s	[Non-fiction, Written]	None	None
DanFeverRetrieval	['dan']	Retrieval	p2p	[Encyclopaedic, Non-fiction, Spoken]	None	None
DanishPoliticalCommentsClassification (Mads Guldborg Kjeldgaard Kongsbak, 2019)	['dan']	Classification	s2s	[Social, Written]	None	None
DefinitionClassificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
DiaBlaBitextMining (González et al., 2019)	['eng', 'fra']	BitextMining	s2s	[Social, Written]	None	None
Diversity1LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Diversity2LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Diversity3LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Diversity4LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Diversity5LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Diversity6LegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
DuRetrieval (Yifu Qiu, 2022)	['cmn']	Retrieval	s2p		None	None
DutchBookReviewSentimentClassification (Benjamin et al., 2019)	['nld']	Classification	s2s	[Reviews, Written]	None	None
ESCIReranking (Chandan K. Reddy, 2022)	['eng', 'jpn', 'spa']	Reranking	s2p	[Written]	{'test': 29285}	{'test': {'num_samples': 29285, 'number_of_characters': 254538331, 'num_positive': 271416, 'num_negative': 44235, 'avg_query_len': 19.69, 'avg_positive_len': 803.92, 'avg_negative_len': 808.5, 'hf_subset_descriptive_stats': {'us': {'num_samples': 21296, 'number_of_characters': 186915609, 'num_positive': 189375, 'num_negative': 25463, 'avg_query_len': 21.44, 'avg_positive_len': 868.37, 'avg_negative_len': 864.45}, 'es': {'num_samples': 3703, 'number_of_characters': 48861389, 'num_positive': 39110, 'num_negative': 10183, 'avg_query_len': 20.68, 'avg_positive_len': 980.96, 'avg_negative_len': 1023.22}, 'jp': {'num_samples': 4286, 'number_of_characters': 18761333, 'num_positive': 42931, 'num_negative': 8589, 'avg_query_len': 10.15, 'avg_positive_len': 358.36, 'avg_negative_len': 388.08}}}}
EcomRetrieval	['cmn']	Retrieval	s2p		None	None
EightTagsClustering.v2	['pol']	Clustering	s2s	[Social, Written]	None	None
EmotionClassification	['eng']	Classification	s2s	[Social, Written]	None	None
EstQA	['est']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
EstonianValenceClassification	['est']	Classification	s2s	[News, Written]	None	None
FEVER	['eng']	Retrieval	s2p		None	None
FEVERHardNegatives	['eng']	Retrieval	s2p		None	None
FQuADRetrieval	['fra']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
FaithDial (Dziri et al., 2022)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
FalseFriendsGermanEnglish	['deu']	PairClassification	s2s	[Written]	None	None
FaroeseSTS	['fao']	STS	s2s	[News, Web, Written]	None	None
FarsTail (Amirkhani et al., 2023)	['fas']	PairClassification	s2s	[Academic, Written]	None	None
FeedbackQARetrieval	['eng']	Retrieval	s2p	[Web, Government, Medical, Written]	None	None
FiQA-PL (Nandan Thakur, 2021)	['pol']	Retrieval	s2p		None	None
FiQA2018 (Nandan Thakur, 2021)	['eng']	Retrieval	s2p		None	None
FilipinoHateSpeechClassification (Neil Vicente Cabasag et al., 2019)	['fil']	Classification	s2s	[Social, Written]	None	None
FilipinoShopeeReviewsClassification	['fil']	Classification	s2s	[Social, Written]	None	None
FinParaSTS	['fin']	STS	s2s	[News, Subtitles, Written]	None	None
FinToxicityClassification	['fin']	Classification	s2s	[News, Written]	None	None
FinancialPhrasebankClassification (P. Malo, 2014)	['eng']	Classification	s2s	[News, Written]	None	None
FloresBitextMining (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, Written]	None	None
FrenchBookReviews	['fra']	Classification	s2s	[Reviews, Written]	None	None
FrenkEnClassification (Nikola Ljubešić, 2019)	['eng']	Classification	s2s	[Social, Written]	None	None
FrenkHrClassification (Nikola Ljubešić, 2019)	['hrv']	Classification	s2s	[Social, Written]	None	None
FrenkSlClassification (Nikola Ljubešić, 2019)	['slv']	Classification	s2s	[Social, Written]	None	None
FunctionOfDecisionSectionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
GPUSpeedTask	['eng']	Speed	s2s	[Fiction, Written]	None	None
GeoreviewClassification	['rus']	Classification	p2p	[Reviews, Written]	None	None
GeoreviewClusteringP2P	['rus']	Clustering	p2p	[Reviews, Written]	None	None
GeorgianFAQRetrieval	['kat']	Retrieval	s2p	[Web, Written]	None	None
GerDaLIR	['deu']	Retrieval	s2p		None	None
GerDaLIRSmall	['deu']	Retrieval	p2p	[Legal, Written]	None	None
GermanDPR (Timo Möller, 2021)	['deu']	Retrieval	s2p		None	None
GermanGovServiceRetrieval	['deu']	Retrieval	s2p	[Government, Written]	None	None
GermanPoliticiansTwitterSentimentClassification	['deu']	Classification	s2s	[Social, Government, Written]	None	None
GermanQuAD-Retrieval (Timo Möller, 2021)	['deu']	Retrieval	s2p		None	None
GermanSTSBenchmark (Philip May, 2021)	['deu']	STS	s2s		None	None
GreekCivicsQA	['ell']	Retrieval	s2p	[Academic, Written]	None	None
GreekLegalCodeClassification	['ell']	Classification	s2s	[Legal, Written]	None	None
GujaratiNewsClassification	['guj']	Classification	s2s	[News, Written]	None	None
HALClusteringS2S.v2 (Mathieu Ciancone, 2024)	['fra']	Clustering	s2s	[Academic, Written]	None	None
HagridRetrieval (Ehsan Kamalloo, 2023)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
HateSpeechPortugueseClassification	['por']	Classification	s2s	[Social, Written]	None	None
HeadlineClassification	['rus']	Classification	s2s	[News, Written]	None	None
HebrewSentimentAnalysis	['heb']	Classification	s2s	[Reviews, Written]	None	None
HellaSwag (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
HinDialectClassification (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, Written]	None	None
HindiDiscourseClassification	['hin']	Classification	s2s	[Fiction, Social, Written]	None	None
HotelReviewSentimentClassification (Elnagar et al., 2018)	['ara']	Classification	s2s	[Reviews, Written]	None	None
HotpotQA	['eng']	Retrieval	s2p	[Web, Written]	None	None
HotpotQA-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p	[Web, Written]	None	None
HotpotQA-PLHardNegatives (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p	[Web, Written]	None	None
HotpotQAHardNegatives	['eng']	Retrieval	s2p	[Web, Written]	None	None
HunSum2AbstractiveRetrieval (Botond Barta, 2024)	['hun']	Retrieval	s2p	[News, Written]	None	None
IFlyTek	['cmn']	Classification	s2s		None	None
IN22ConvBitextMining (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, Spoken]	{'test': 760518}	{'test': {'average_sentence1_length': 54.33, 'average_sentence2_length': 54.33, 'num_samples': 760518, 'number_of_characters': 82637104, 'hf_subset_descriptive_stats': {'asm_Beng-ben_Beng': {'average_sentence1_length': 53.75, 'average_sentence2_length': 50.03, 'num_samples': 1503, 'number_of_characters': 155988}, 'asm_Beng-brx_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 162044}, 'asm_Beng-doi_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 57.38, 'num_samples': 1503, 'number_of_characters': 167032}, 'asm_Beng-eng_Latn': {'average_sentence1_length': 53.75, 'average_sentence2_length': 53.18, 'num_samples': 1503, 'number_of_characters': 160716}, 'asm_Beng-gom_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 50.23, 'num_samples': 1503, 'number_of_characters': 156282}, 'asm_Beng-guj_Gujr': {'average_sentence1_length': 53.75, 'average_sentence2_length': 51.55, 'num_samples': 1503, 'number_of_characters': 158269}, 'asm_Beng-hin_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 52.68, 'num_samples': 1503, 'number_of_characters': 159964}, 'asm_Beng-kan_Knda': {'average_sentence1_length': 53.75, 'average_sentence2_length': 56.14, 'num_samples': 1503, 'number_of_characters': 165177}, 'asm_Beng-kas_Arab': {'average_sentence1_length': 53.75, 'average_sentence2_length': 55.81, 'num_samples': 1503, 'number_of_characters': 164681}, 'asm_Beng-mai_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 54.3, 'num_samples': 1503, 'number_of_characters': 162408}, 'asm_Beng-mal_Mlym': {'average_sentence1_length': 53.75, 'average_sentence2_length': 61.24, 'num_samples': 1503, 'number_of_characters': 172838}, 'asm_Beng-mar_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 54.53, 'num_samples': 1503, 'number_of_characters': 162747}, 'asm_Beng-mni_Mtei': {'average_sentence1_length': 53.75, 'average_sentence2_length': 50.91, 'num_samples': 1503, 'number_of_characters': 157316}, 'asm_Beng-npi_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 53.3, 'num_samples': 1503, 'number_of_characters': 160906}, 'asm_Beng-ory_Orya': {'average_sentence1_length': 53.75, 'average_sentence2_length': 55.51, 'num_samples': 1503, 'number_of_characters': 164223}, 'asm_Beng-pan_Guru': {'average_sentence1_length': 53.75, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 160201}, 'asm_Beng-san_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 158093}, 'asm_Beng-sat_Olck': {'average_sentence1_length': 53.75, 'average_sentence2_length': 58.94, 'num_samples': 1503, 'number_of_characters': 169379}, 'asm_Beng-snd_Deva': {'average_sentence1_length': 53.75, 'average_sentence2_length': 54.45, 'num_samples': 1503, 'number_of_characters': 162623}, 'asm_Beng-tam_Taml': {'average_sentence1_length': 53.75, 'average_sentence2_length': 62.59, 'num_samples': 1503, 'number_of_characters': 174866}, 'asm_Beng-tel_Telu': {'average_sentence1_length': 53.75, 'average_sentence2_length': 51.16, 'num_samples': 1503, 'number_of_characters': 157690}, 'asm_Beng-urd_Arab': {'average_sentence1_length': 53.75, 'average_sentence2_length': 53.57, 'num_samples': 1503, 'number_of_characters': 161305}, 'ben_Beng-asm_Beng': {'average_sentence1_length': 50.03, 'average_sentence2_length': 53.75, 'num_samples': 1503, 'number_of_characters': 155988}, 'ben_Beng-brx_Deva': {'average_sentence1_length': 50.03, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 156448}, 'ben_Beng-doi_Deva': 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'number_of_characters': 172018}, 'sat_Olck-pan_Guru': {'average_sentence1_length': 58.94, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 167996}, 'sat_Olck-san_Deva': {'average_sentence1_length': 58.94, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 165888}, 'sat_Olck-snd_Deva': {'average_sentence1_length': 58.94, 'average_sentence2_length': 54.45, 'num_samples': 1503, 'number_of_characters': 170418}, 'sat_Olck-tam_Taml': {'average_sentence1_length': 58.94, 'average_sentence2_length': 62.59, 'num_samples': 1503, 'number_of_characters': 182661}, 'sat_Olck-tel_Telu': {'average_sentence1_length': 58.94, 'average_sentence2_length': 51.16, 'num_samples': 1503, 'number_of_characters': 165485}, 'sat_Olck-urd_Arab': {'average_sentence1_length': 58.94, 'average_sentence2_length': 53.57, 'num_samples': 1503, 'number_of_characters': 169100}, 'snd_Deva-asm_Beng': {'average_sentence1_length': 54.45, 'average_sentence2_length': 53.75, 'num_samples': 1503, 'number_of_characters': 162623}, 'snd_Deva-ben_Beng': {'average_sentence1_length': 54.45, 'average_sentence2_length': 50.03, 'num_samples': 1503, 'number_of_characters': 157027}, 'snd_Deva-brx_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 163083}, 'snd_Deva-doi_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 57.38, 'num_samples': 1503, 'number_of_characters': 168071}, 'snd_Deva-eng_Latn': {'average_sentence1_length': 54.45, 'average_sentence2_length': 53.18, 'num_samples': 1503, 'number_of_characters': 161755}, 'snd_Deva-gom_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 50.23, 'num_samples': 1503, 'number_of_characters': 157321}, 'snd_Deva-guj_Gujr': {'average_sentence1_length': 54.45, 'average_sentence2_length': 51.55, 'num_samples': 1503, 'number_of_characters': 159308}, 'snd_Deva-hin_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 52.68, 'num_samples': 1503, 'number_of_characters': 161003}, 'snd_Deva-kan_Knda': {'average_sentence1_length': 54.45, 'average_sentence2_length': 56.14, 'num_samples': 1503, 'number_of_characters': 166216}, 'snd_Deva-kas_Arab': {'average_sentence1_length': 54.45, 'average_sentence2_length': 55.81, 'num_samples': 1503, 'number_of_characters': 165720}, 'snd_Deva-mai_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 54.3, 'num_samples': 1503, 'number_of_characters': 163447}, 'snd_Deva-mal_Mlym': {'average_sentence1_length': 54.45, 'average_sentence2_length': 61.24, 'num_samples': 1503, 'number_of_characters': 173877}, 'snd_Deva-mar_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 54.53, 'num_samples': 1503, 'number_of_characters': 163786}, 'snd_Deva-mni_Mtei': {'average_sentence1_length': 54.45, 'average_sentence2_length': 50.91, 'num_samples': 1503, 'number_of_characters': 158355}, 'snd_Deva-npi_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 53.3, 'num_samples': 1503, 'number_of_characters': 161945}, 'snd_Deva-ory_Orya': {'average_sentence1_length': 54.45, 'average_sentence2_length': 55.51, 'num_samples': 1503, 'number_of_characters': 165262}, 'snd_Deva-pan_Guru': {'average_sentence1_length': 54.45, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 161240}, 'snd_Deva-san_Deva': {'average_sentence1_length': 54.45, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 159132}, 'snd_Deva-sat_Olck': {'average_sentence1_length': 54.45, 'average_sentence2_length': 58.94, 'num_samples': 1503, 'number_of_characters': 170418}, 'snd_Deva-tam_Taml': {'average_sentence1_length': 54.45, 'average_sentence2_length': 62.59, 'num_samples': 1503, 'number_of_characters': 175905}, 'snd_Deva-tel_Telu': {'average_sentence1_length': 54.45, 'average_sentence2_length': 51.16, 'num_samples': 1503, 'number_of_characters': 158729}, 'snd_Deva-urd_Arab': {'average_sentence1_length': 54.45, 'average_sentence2_length': 53.57, 'num_samples': 1503, 'number_of_characters': 162344}, 'tam_Taml-asm_Beng': {'average_sentence1_length': 62.59, 'average_sentence2_length': 53.75, 'num_samples': 1503, 'number_of_characters': 174866}, 'tam_Taml-ben_Beng': {'average_sentence1_length': 62.59, 'average_sentence2_length': 50.03, 'num_samples': 1503, 'number_of_characters': 169270}, 'tam_Taml-brx_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 175326}, 'tam_Taml-doi_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 57.38, 'num_samples': 1503, 'number_of_characters': 180314}, 'tam_Taml-eng_Latn': {'average_sentence1_length': 62.59, 'average_sentence2_length': 53.18, 'num_samples': 1503, 'number_of_characters': 173998}, 'tam_Taml-gom_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 50.23, 'num_samples': 1503, 'number_of_characters': 169564}, 'tam_Taml-guj_Gujr': {'average_sentence1_length': 62.59, 'average_sentence2_length': 51.55, 'num_samples': 1503, 'number_of_characters': 171551}, 'tam_Taml-hin_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 52.68, 'num_samples': 1503, 'number_of_characters': 173246}, 'tam_Taml-kan_Knda': {'average_sentence1_length': 62.59, 'average_sentence2_length': 56.14, 'num_samples': 1503, 'number_of_characters': 178459}, 'tam_Taml-kas_Arab': {'average_sentence1_length': 62.59, 'average_sentence2_length': 55.81, 'num_samples': 1503, 'number_of_characters': 177963}, 'tam_Taml-mai_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 54.3, 'num_samples': 1503, 'number_of_characters': 175690}, 'tam_Taml-mal_Mlym': {'average_sentence1_length': 62.59, 'average_sentence2_length': 61.24, 'num_samples': 1503, 'number_of_characters': 186120}, 'tam_Taml-mar_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 54.53, 'num_samples': 1503, 'number_of_characters': 176029}, 'tam_Taml-mni_Mtei': {'average_sentence1_length': 62.59, 'average_sentence2_length': 50.91, 'num_samples': 1503, 'number_of_characters': 170598}, 'tam_Taml-npi_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 53.3, 'num_samples': 1503, 'number_of_characters': 174188}, 'tam_Taml-ory_Orya': {'average_sentence1_length': 62.59, 'average_sentence2_length': 55.51, 'num_samples': 1503, 'number_of_characters': 177505}, 'tam_Taml-pan_Guru': {'average_sentence1_length': 62.59, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 173483}, 'tam_Taml-san_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 171375}, 'tam_Taml-sat_Olck': {'average_sentence1_length': 62.59, 'average_sentence2_length': 58.94, 'num_samples': 1503, 'number_of_characters': 182661}, 'tam_Taml-snd_Deva': {'average_sentence1_length': 62.59, 'average_sentence2_length': 54.45, 'num_samples': 1503, 'number_of_characters': 175905}, 'tam_Taml-tel_Telu': {'average_sentence1_length': 62.59, 'average_sentence2_length': 51.16, 'num_samples': 1503, 'number_of_characters': 170972}, 'tam_Taml-urd_Arab': {'average_sentence1_length': 62.59, 'average_sentence2_length': 53.57, 'num_samples': 1503, 'number_of_characters': 174587}, 'tel_Telu-asm_Beng': {'average_sentence1_length': 51.16, 'average_sentence2_length': 53.75, 'num_samples': 1503, 'number_of_characters': 157690}, 'tel_Telu-ben_Beng': {'average_sentence1_length': 51.16, 'average_sentence2_length': 50.03, 'num_samples': 1503, 'number_of_characters': 152094}, 'tel_Telu-brx_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 158150}, 'tel_Telu-doi_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 57.38, 'num_samples': 1503, 'number_of_characters': 163138}, 'tel_Telu-eng_Latn': {'average_sentence1_length': 51.16, 'average_sentence2_length': 53.18, 'num_samples': 1503, 'number_of_characters': 156822}, 'tel_Telu-gom_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 50.23, 'num_samples': 1503, 'number_of_characters': 152388}, 'tel_Telu-guj_Gujr': {'average_sentence1_length': 51.16, 'average_sentence2_length': 51.55, 'num_samples': 1503, 'number_of_characters': 154375}, 'tel_Telu-hin_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 52.68, 'num_samples': 1503, 'number_of_characters': 156070}, 'tel_Telu-kan_Knda': {'average_sentence1_length': 51.16, 'average_sentence2_length': 56.14, 'num_samples': 1503, 'number_of_characters': 161283}, 'tel_Telu-kas_Arab': {'average_sentence1_length': 51.16, 'average_sentence2_length': 55.81, 'num_samples': 1503, 'number_of_characters': 160787}, 'tel_Telu-mai_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 54.3, 'num_samples': 1503, 'number_of_characters': 158514}, 'tel_Telu-mal_Mlym': {'average_sentence1_length': 51.16, 'average_sentence2_length': 61.24, 'num_samples': 1503, 'number_of_characters': 168944}, 'tel_Telu-mar_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 54.53, 'num_samples': 1503, 'number_of_characters': 158853}, 'tel_Telu-mni_Mtei': {'average_sentence1_length': 51.16, 'average_sentence2_length': 50.91, 'num_samples': 1503, 'number_of_characters': 153422}, 'tel_Telu-npi_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 53.3, 'num_samples': 1503, 'number_of_characters': 157012}, 'tel_Telu-ory_Orya': {'average_sentence1_length': 51.16, 'average_sentence2_length': 55.51, 'num_samples': 1503, 'number_of_characters': 160329}, 'tel_Telu-pan_Guru': {'average_sentence1_length': 51.16, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 156307}, 'tel_Telu-san_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 154199}, 'tel_Telu-sat_Olck': {'average_sentence1_length': 51.16, 'average_sentence2_length': 58.94, 'num_samples': 1503, 'number_of_characters': 165485}, 'tel_Telu-snd_Deva': {'average_sentence1_length': 51.16, 'average_sentence2_length': 54.45, 'num_samples': 1503, 'number_of_characters': 158729}, 'tel_Telu-tam_Taml': {'average_sentence1_length': 51.16, 'average_sentence2_length': 62.59, 'num_samples': 1503, 'number_of_characters': 170972}, 'tel_Telu-urd_Arab': {'average_sentence1_length': 51.16, 'average_sentence2_length': 53.57, 'num_samples': 1503, 'number_of_characters': 157411}, 'urd_Arab-asm_Beng': {'average_sentence1_length': 53.57, 'average_sentence2_length': 53.75, 'num_samples': 1503, 'number_of_characters': 161305}, 'urd_Arab-ben_Beng': {'average_sentence1_length': 53.57, 'average_sentence2_length': 50.03, 'num_samples': 1503, 'number_of_characters': 155709}, 'urd_Arab-brx_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 54.06, 'num_samples': 1503, 'number_of_characters': 161765}, 'urd_Arab-doi_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 57.38, 'num_samples': 1503, 'number_of_characters': 166753}, 'urd_Arab-eng_Latn': {'average_sentence1_length': 53.57, 'average_sentence2_length': 53.18, 'num_samples': 1503, 'number_of_characters': 160437}, 'urd_Arab-gom_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 50.23, 'num_samples': 1503, 'number_of_characters': 156003}, 'urd_Arab-guj_Gujr': {'average_sentence1_length': 53.57, 'average_sentence2_length': 51.55, 'num_samples': 1503, 'number_of_characters': 157990}, 'urd_Arab-hin_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 52.68, 'num_samples': 1503, 'number_of_characters': 159685}, 'urd_Arab-kan_Knda': {'average_sentence1_length': 53.57, 'average_sentence2_length': 56.14, 'num_samples': 1503, 'number_of_characters': 164898}, 'urd_Arab-kas_Arab': {'average_sentence1_length': 53.57, 'average_sentence2_length': 55.81, 'num_samples': 1503, 'number_of_characters': 164402}, 'urd_Arab-mai_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 54.3, 'num_samples': 1503, 'number_of_characters': 162129}, 'urd_Arab-mal_Mlym': {'average_sentence1_length': 53.57, 'average_sentence2_length': 61.24, 'num_samples': 1503, 'number_of_characters': 172559}, 'urd_Arab-mar_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 54.53, 'num_samples': 1503, 'number_of_characters': 162468}, 'urd_Arab-mni_Mtei': {'average_sentence1_length': 53.57, 'average_sentence2_length': 50.91, 'num_samples': 1503, 'number_of_characters': 157037}, 'urd_Arab-npi_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 53.3, 'num_samples': 1503, 'number_of_characters': 160627}, 'urd_Arab-ory_Orya': {'average_sentence1_length': 53.57, 'average_sentence2_length': 55.51, 'num_samples': 1503, 'number_of_characters': 163944}, 'urd_Arab-pan_Guru': {'average_sentence1_length': 53.57, 'average_sentence2_length': 52.83, 'num_samples': 1503, 'number_of_characters': 159922}, 'urd_Arab-san_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 51.43, 'num_samples': 1503, 'number_of_characters': 157814}, 'urd_Arab-sat_Olck': {'average_sentence1_length': 53.57, 'average_sentence2_length': 58.94, 'num_samples': 1503, 'number_of_characters': 169100}, 'urd_Arab-snd_Deva': {'average_sentence1_length': 53.57, 'average_sentence2_length': 54.45, 'num_samples': 1503, 'number_of_characters': 162344}, 'urd_Arab-tam_Taml': {'average_sentence1_length': 53.57, 'average_sentence2_length': 62.59, 'num_samples': 1503, 'number_of_characters': 174587}, 'urd_Arab-tel_Telu': {'average_sentence1_length': 53.57, 'average_sentence2_length': 51.16, 'num_samples': 1503, 'number_of_characters': 157411}}}}
IN22GenBitextMining (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, Written]	None	None
IWSLT2017BitextMining	['ara', 'cmn', 'deu', 'eng', 'fra', 'ita', 'jpn', 'kor', 'nld', 'ron']	BitextMining	s2s	[Non-fiction, Fiction, Written]	None	None
ImdbClassification	['eng']	Classification	p2p	[Reviews, Written]	None	None
InappropriatenessClassification	['rus']	Classification	s2s	[Web, Social, Written]	None	None
IndicCrosslingualSTS (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, Written, Spoken]	None	None
IndicGenBenchFloresBitextMining (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, Written]	None	None
IndicLangClassification	['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, Written]	None	None
IndicNLPNewsClassification (Anoop Kunchukuttan, 2020)	['guj', 'kan', 'mal', 'mar', 'ori', 'pan', 'tam', 'tel']	Classification	s2s	[News, Written]	None	None
IndicQARetrieval (Sumanth Doddapaneni, 2022)	['asm', 'ben', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel']	Retrieval	s2p	[Web, Written]	None	None
IndicReviewsClusteringP2P (Sumanth Doddapaneni, 2022)	['asm', 'ben', 'brx', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel', 'urd']	Clustering	p2p	[Reviews, Written]	None	None
IndicSentimentClassification (Sumanth Doddapaneni, 2022)	['asm', 'ben', 'brx', 'guj', 'hin', 'kan', 'mal', 'mar', 'ory', 'pan', 'tam', 'tel', 'urd']	Classification	s2s	[Reviews, Written]	None	None
IndonesianIdClickbaitClassification	['ind']	Classification	s2s	[News, Written]	None	None
IndonesianMongabayConservationClassification	['ind']	Classification	s2s	[Web, Written]	None	None
InsurancePolicyInterpretationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
InternationalCitizenshipQuestionsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
IsiZuluNewsClassification (Madodonga et al., 2023)	['zul']	Classification	s2s	[News, Written]	None	None
ItaCaseholdClassification (Licari et al., 2023)	['ita']	Classification	s2s	[Legal, Government, Written]	None	None
Itacola	['ita']	Classification	s2s	[Non-fiction, Spoken, Written]	None	None
JCrewBlockerLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
JDReview (Xiao et al., 2023)	['cmn']	Classification	s2s		None	None
JSICK (Yanaka et al., 2022)	['jpn']	STS	s2s	[Web, Written]	None	None
JSTS	['jpn']	STS	s2s	[Web, Written]	None	None
JaGovFaqsRetrieval	['jpn']	Retrieval	s2s	[Web, Written]	None	None
JaQuADRetrieval (ByungHoon So, 2022)	['jpn']	Retrieval	p2p	[Encyclopaedic, Non-fiction, Written]	None	None
JaqketRetrieval	['jpn']	Retrieval	s2p	[Encyclopaedic, Non-fiction, Written]	{'test': 115226}	{'test': {'number_of_characters': 3799.7, 'num_samples': 115226, 'num_queries': 997, 'num_documents': 114229, 'average_document_length': 0.03, 'average_query_length': 0.05, 'average_relevant_docs_per_query': 1.0}}
JavaneseIMDBClassification (Wongso et al., 2021)	['jav']	Classification	s2s	[Reviews, Written]	None	None
KLUE-NLI (Sungjoon Park, 2021)	['kor']	PairClassification	s2s	[News, Encyclopaedic, Written]	None	None
KLUE-STS (Sungjoon Park, 2021)	['kor']	STS	s2s	[Reviews, News, Spoken, Written, Spoken]	None	None
KLUE-TC (Sungjoon Park, 2021)	['kor']	Classification	s2s	[News, Written]	None	None
KannadaNewsClassification (Anoop Kunchukuttan, 2020)	['kan']	Classification	s2s	[News, Written]	None	None
KinopoiskClassification (Blinov et al., 2013)	['rus']	Classification	p2p	[Reviews, Written]	None	None
Ko-StrategyQA (Geva et al., 2021)	['kor']	Retrieval	s2p		None	None
KorFin (Son et al., 2023)	['kor']	Classification	s2s	[News, Written]	None	None
KorHateClassification (Jihyung Moon, 2020)	['kor']	Classification	s2s	[Social, Written]	None	None
KorHateSpeechMLClassification	['kor']	MultilabelClassification	s2s	[Social, Written]	None	None
KorSTS (Ham et al., 2020)	['kor']	STS	s2s	[News, Web]	None	None
KorSarcasmClassification (Kim et al., 2019)	['kor']	Classification	s2s	[Social, Written]	None	None
KurdishSentimentClassification (Badawi et al., 2024)	['kur']	Classification	s2s	[Web, Written]	None	None
LCQMC (Shitao Xiao, 2024)	['cmn']	STS	s2s		None	None
LEMBNarrativeQARetrieval	['eng']	Retrieval	s2p	[Fiction, Non-fiction, Written]	None	None
LEMBNeedleRetrieval (Zhu et al., 2024)	['eng']	Retrieval	s2p	[Academic, Blog, Written]	None	None
LEMBPasskeyRetrieval (Zhu et al., 2024)	['eng']	Retrieval	s2p	[Fiction, Written]	None	None
LEMBQMSumRetrieval	['eng']	Retrieval	s2p	[Spoken, Written]	None	None
LEMBSummScreenFDRetrieval	['eng']	Retrieval	s2p	[Spoken, Written]	None	None
LEMBWikimQARetrieval (Ho et al., 2020)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
LanguageClassification (Conneau et al., 2018)	['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, Written]	{'test': 2048}	{'test': {'num_samples': 2048, 'number_of_characters': 224352, 'average_text_length': 109.55, 'unique_labels': 20, 'labels': {'17': {'count': 102}, '0': {'count': 102}, '11': {'count': 102}, '4': {'count': 103}, '3': {'count': 102}, '1': {'count': 102}, '10': {'count': 102}, '2': {'count': 103}, '16': {'count': 103}, '9': {'count': 103}, '5': {'count': 102}, '7': {'count': 102}, '13': {'count': 102}, '14': {'count': 103}, '12': {'count': 102}, '15': {'count': 103}, '19': {'count': 102}, '18': {'count': 102}, '6': {'count': 103}, '8': {'count': 103}}}}
LccSentimentClassification	['dan']	Classification	s2s	[News, Web, Written]	None	None
LeCaRDv2 (Haitao Li, 2023)	['zho']	Retrieval	p2p	[Legal, Written]	None	None
LearnedHandsBenefitsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsBusinessLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsConsumerLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsCourtsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsCrimeLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsDivorceLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsDomesticViolenceLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsEducationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsEmploymentLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsEstatesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsFamilyLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsHealthLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsHousingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsImmigrationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsTortsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LearnedHandsTrafficLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LegalBenchConsumerContractsQA (Koreeda et al., 2021)	['eng']	Retrieval	s2p	[Legal, Written]	None	None
LegalBenchCorporateLobbying (Neel Guha, 2023)	['eng']	Retrieval	s2p	[Legal, Written]	None	None
LegalBenchPC (Neel Guha, 2023)	['eng']	PairClassification	s2s	[Legal, Written]	None	None
LegalQuAD (Hoppe et al., 2021)	['deu']	Retrieval	s2p	[Legal, Written]	None	None
LegalReasoningCausalityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
LegalSummarization	['eng']	Retrieval	s2p	[Legal, Written]	None	None
LinceMTBitextMining (Aguilar et al., 2020)	['eng', 'hin']	BitextMining	s2s	[Social, Written]	None	None
LitSearchRetrieval (Ajith et al., 2024)	['eng']	Retrieval	s2p	[Academic, Non-fiction, Written]	None	None
LivedoorNewsClustering.v2	['jpn']	Clustering	s2s	[News, Written]	None	None
MAUDLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
MIRACLReranking (Zhang et al., 2023)	['ara', 'ben', 'deu', 'eng', 'fas', 'fin', 'fra', 'hin', 'ind', 'jpn', 'kor', 'rus', 'spa', 'swa', 'tel', 'tha', 'yor', 'zho']	Reranking	s2s	[Encyclopaedic, Written]	None	None
MIRACLRetrieval (Zhang et al., 2023)	['ara', 'ben', 'deu', 'eng', 'fas', 'fin', 'fra', 'hin', 'ind', 'jpn', 'kor', 'rus', 'spa', 'swa', 'tel', 'tha', 'yor', 'zho']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
MIRACLRetrievalHardNegatives (Zhang et al., 2023)	['ara', 'ben', 'deu', 'eng', 'fas', 'fin', 'fra', 'hin', 'ind', 'jpn', 'kor', 'rus', 'spa', 'swa', 'tel', 'tha', 'yor', 'zho']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
MLQARetrieval	['ara', 'deu', 'eng', 'hin', 'spa', 'vie', 'zho']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
MLQuestions	['eng']	Retrieval	s2p	[Encyclopaedic, Academic, Written]	None	None
MLSUMClusteringP2P.v2 (Scialom et al., 2020)	['deu', 'fra', 'rus', 'spa']	Clustering	p2p	[News, Written]	None	None
MLSUMClusteringS2S.v2 (Scialom et al., 2020)	['deu', 'fra', 'rus', 'spa']	Clustering	s2s	[News, Written]	None	None
MMarcoReranking (Luiz Henrique Bonifacio, 2021)	['cmn']	Reranking	s2s		None	None
MMarcoRetrieval (Shitao Xiao, 2024)	['cmn']	Retrieval	s2p		None	None
MSMARCO (Tri Nguyen and Mir Rosenberg and Xia Song and Jianfeng Gao and Saurabh Tiwary and Rangan Majumder and Li Deng, 2016)	['eng']	Retrieval	s2p		None	None
MSMARCO-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p	[Web, Written]	None	None
MSMARCO-PLHardNegatives (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p	[Web, Written]	None	None
MSMARCOHardNegatives (Tri Nguyen and Mir Rosenberg and Xia Song and Jianfeng Gao and Saurabh Tiwary and Rangan Majumder and Li Deng, 2016)	['eng']	Retrieval	s2p		None	None
MSMARCOv2 (Tri Nguyen and Mir Rosenberg and Xia Song and Jianfeng Gao and Saurabh Tiwary and Rangan Majumder and Li Deng, 2016)	['eng']	Retrieval	s2p		None	None
MTOPDomainClassification	['deu', 'eng', 'fra', 'hin', 'spa', 'tha']	Classification	s2s	[Spoken, Spoken]	None	None
MTOPIntentClassification	['deu', 'eng', 'fra', 'hin', 'spa', 'tha']	Classification	s2s	[Spoken, Spoken]	None	None
MacedonianTweetSentimentClassification	['mkd']	Classification	s2s	[Social, Written]	None	None
MalayalamNewsClassification (Anoop Kunchukuttan, 2020)	['mal']	Classification	s2s	[News, Written]	None	None
MalteseNewsClassification	['mlt']	MultilabelClassification	s2s	[Constructed, Written]	None	None
MarathiNewsClassification (Anoop Kunchukuttan, 2020)	['mar']	Classification	s2s	[News, Written]	None	None
MasakhaNEWSClassification (David Ifeoluwa Adelani, 2023)	['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor']	Classification	s2s	[News, Written]	None	None
MasakhaNEWSClusteringP2P (David Ifeoluwa Adelani, 2023)	['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor']	Clustering	p2p	[News, Written, Non-fiction]	None	None
MasakhaNEWSClusteringS2S (David Ifeoluwa Adelani, 2023)	['amh', 'eng', 'fra', 'hau', 'ibo', 'lin', 'lug', 'orm', 'pcm', 'run', 'sna', 'som', 'swa', 'tir', 'xho', 'yor']	Clustering	s2s		None	None
MassiveIntentClassification (Jack FitzGerald, 2022)	['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	[Spoken]	None	None
MassiveScenarioClassification (Jack FitzGerald, 2022)	['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	[Spoken]	None	None
MedicalQARetrieval (Asma et al., 2019)	['eng']	Retrieval	s2s	[Medical, Written]	None	None
MedicalRetrieval	['cmn']	Retrieval	s2p		None	None
MedrxivClusteringP2P.v2	['eng']	Clustering	p2p	[Academic, Medical, Written]	None	None
MedrxivClusteringS2S.v2	['eng']	Clustering	s2s	[Academic, Medical, Written]	None	None
MewsC16JaClustering	['jpn']	Clustering	s2s	[News, Written]	None	None
MindSmallReranking	['eng']	Reranking	s2s	[News, Written]	None	None
MintakaRetrieval	['ara', 'deu', 'fra', 'hin', 'ita', 'jpn', 'por', 'spa']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
Moroco (Andrei M. Butnaru, 2019)	['ron']	Classification	s2s	[News, Written]	None	None
MovieReviewSentimentClassification (Théophile Blard, 2020)	['fra']	Classification	s2s	[Reviews, Written]	None	None
MrTidyRetrieval (Xinyu Zhang, 2021)	['ara', 'ben', 'eng', 'fin', 'ind', 'jpn', 'kor', 'rus', 'swa', 'tel', 'tha']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
MultiEURLEXMultilabelClassification (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, Written]	{'test': 115000}	{'test': {'average_text_length': 12014.41, 'number_of_characters': 1381657027, 'average_label_per_text': 3.59, 'num_samples': 115000, 'unique_labels': 21, 'labels': {'18': {'count': 50784}, '15': {'count': 30981}, '5': {'count': 24978}, '6': {'count': 45080}, '3': {'count': 63687}, '17': {'count': 37743}, '1': {'count': 15019}, '20': {'count': 14030}, '0': {'count': 17802}, '2': {'count': 22402}, '19': {'count': 10212}, '9': {'count': 3772}, '4': {'count': 9062}, '10': {'count': 7705}, '11': {'count': 12213}, '7': {'count': 14306}, '12': {'count': 11799}, '8': {'count': 13800}, '13': {'count': 2346}, '14': {'count': 4255}, '16': {'count': 1311}}, 'hf_subset_descriptive_stats': {'en': {'average_text_length': 11720.29, 'number_of_characters': 58601463, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'de': {'average_text_length': 12865.42, 'number_of_characters': 64327081, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'fr': {'average_text_length': 13081.11, 'number_of_characters': 65405549, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'it': {'average_text_length': 12763.48, 'number_of_characters': 63817393, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'es': {'average_text_length': 13080.29, 'number_of_characters': 65401450, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'pl': {'average_text_length': 12282.59, 'number_of_characters': 61412963, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'ro': {'average_text_length': 12836.93, 'number_of_characters': 64184661, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'nl': {'average_text_length': 12857.97, 'number_of_characters': 64289871, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'el': {'average_text_length': 12998.14, 'number_of_characters': 64990715, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'hu': {'average_text_length': 12424.64, 'number_of_characters': 62123205, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'pt': {'average_text_length': 12482.46, 'number_of_characters': 62412308, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'cs': {'average_text_length': 10783.47, 'number_of_characters': 53917338, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'sv': {'average_text_length': 11612.48, 'number_of_characters': 58062387, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'bg': {'average_text_length': 12235.43, 'number_of_characters': 61177134, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'da': {'average_text_length': 11773.96, 'number_of_characters': 58869790, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'fi': {'average_text_length': 12087.69, 'number_of_characters': 60438431, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'sk': {'average_text_length': 11130.81, 'number_of_characters': 55654070, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'lt': {'average_text_length': 11245.36, 'number_of_characters': 56226783, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'hr': {'average_text_length': 11022.14, 'number_of_characters': 55110710, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'sl': {'average_text_length': 10620.06, 'number_of_characters': 53100297, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'et': {'average_text_length': 10898.43, 'number_of_characters': 54492156, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'lv': {'average_text_length': 10938.51, 'number_of_characters': 54692551, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}, 'mt': {'average_text_length': 12589.74, 'number_of_characters': 62948721, 'average_label_per_text': 3.59, 'num_samples': 5000, 'unique_labels': 21, 'labels': {'18': {'count': 2208}, '15': {'count': 1347}, '5': {'count': 1086}, '6': {'count': 1960}, '3': {'count': 2769}, '17': {'count': 1641}, '1': {'count': 653}, '20': {'count': 610}, '0': {'count': 774}, '2': {'count': 974}, '19': {'count': 444}, '9': {'count': 164}, '4': {'count': 394}, '10': {'count': 335}, '11': {'count': 531}, '7': {'count': 622}, '12': {'count': 513}, '8': {'count': 600}, '13': {'count': 102}, '14': {'count': 185}, '16': {'count': 57}}}}}}
MultiHateClassification	['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'nld', 'pol', 'por', 'spa']	Classification	s2s	[Constructed, Written]	None	None
MultiLongDocRetrieval (Jianlv Chen, 2024)	['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'jpn', 'kor', 'por', 'rus', 'spa', 'tha']	Retrieval	s2p	[Encyclopaedic, Written, Web, Non-fiction, Fiction]	None	None
MultilingualSentiment	['cmn']	Classification	s2s		None	None
MultilingualSentimentClassification	['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, Written]	None	None
MyanmarNews (A. H. Khine, 2017)	['mya']	Classification	p2p	[News, Written]	None	None
NFCorpus (Boteva et al., 2016)	['eng']	Retrieval	s2p		None	None
NFCorpus-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
NLPJournalAbsIntroRetrieval	['jpn']	Retrieval	s2s	[Academic, Written]	None	None
NLPJournalTitleAbsRetrieval	['jpn']	Retrieval	s2s	[Academic, Written]	None	None
NLPJournalTitleIntroRetrieval	['jpn']	Retrieval	s2s	[Academic, Written]	None	None
NQ (Tom Kwiatkowski, 2019)	['eng']	Retrieval	s2p		None	None
NQ-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
NQ-PLHardNegatives (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
NQHardNegatives (Tom Kwiatkowski, 2019)	['eng']	Retrieval	s2p		None	None
NTREXBitextMining	['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, Written]	None	None
NYSJudicialEthicsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
NaijaSenti	['hau', 'ibo', 'pcm', 'yor']	Classification	s2s	[Social, Written]	None	None
NarrativeQARetrieval (Tomáš Kočiský, 2017)	['eng']	Retrieval	s2p		None	None
NepaliNewsClassification	['nep']	Classification	s2s	[News, Written]	None	None
NeuCLIR2022Retrieval (Lawrie et al., 2023)	['fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	None	None
NeuCLIR2022RetrievalHardNegatives (Lawrie et al., 2023)	['fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	None	None
NeuCLIR2023Retrieval (Dawn Lawrie, 2024)	['fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	None	None
NeuCLIR2023RetrievalHardNegatives (Dawn Lawrie, 2024)	['fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	None	None
News21InstructionRetrieval (Orion Weller, 2024)	['eng']	InstructionRetrieval	s2p	[News, Written]	None	None
NewsClassification (Zhang et al., 2015)	['eng']	Classification	s2s	[News, Written]	None	None
NoRecClassification	['nob']	Classification	s2s	[Written, Reviews]	None	None
NollySentiBitextMining (Shode et al., 2023)	['eng', 'hau', 'ibo', 'pcm', 'yor']	BitextMining	s2s	[Social, Reviews, Written]	None	None
NorQuadRetrieval	['nob']	Retrieval	p2p	[Encyclopaedic, Non-fiction, Written]	None	None
NordicLangClassification	['dan', 'fao', 'isl', 'nno', 'nob', 'swe']	Classification	s2s	[Encyclopaedic]	None	None
NorwegianCourtsBitextMining (Tiedemann et al., 2020)	['nno', 'nob']	BitextMining	s2s	[Legal, Written]	None	None
NorwegianParliamentClassification	['nob']	Classification	s2s	[Government, Spoken]	None	None
NusaParagraphEmotionClassification	['bbc', 'bew', 'bug', 'jav', 'mad', 'mak', 'min', 'mui', 'rej', 'sun']	Classification	s2s	[Non-fiction, Fiction, Written]	None	None
NusaParagraphTopicClassification	['bbc', 'bew', 'bug', 'jav', 'mad', 'mak', 'min', 'mui', 'rej', 'sun']	Classification	s2s	[Non-fiction, Fiction, Written]	None	None
NusaTranslationBitextMining (Cahyawijaya et al., 2023)	['abs', 'bbc', 'bew', 'bhp', 'ind', 'jav', 'mad', 'mak', 'min', 'mui', 'rej', 'sun']	BitextMining	s2s	[Social, Written]	{'train': 50200}	{'train': {'average_sentence1_length': 145.46, 'average_sentence2_length': 148.57, 'num_samples': 50200, 'number_of_characters': 14759870, 'hf_subset_descriptive_stats': {'ind-abs': {'average_sentence1_length': 148.37, 'average_sentence2_length': 147.31, 'num_samples': 1000, 'number_of_characters': 295680}, 'ind-btk': {'average_sentence1_length': 145.37, 'average_sentence2_length': 146.74, 'num_samples': 6600, 'number_of_characters': 1927907}, 'ind-bew': {'average_sentence1_length': 145.43, 'average_sentence2_length': 148.41, 'num_samples': 6600, 'number_of_characters': 1939300}, 'ind-bhp': {'average_sentence1_length': 133.53, 'average_sentence2_length': 128.14, 'num_samples': 1000, 'number_of_characters': 261666}, 'ind-jav': {'average_sentence1_length': 145.43, 'average_sentence2_length': 145.81, 'num_samples': 6600, 'number_of_characters': 1922162}, 'ind-mad': {'average_sentence1_length': 145.36, 'average_sentence2_length': 153.62, 'num_samples': 6600, 'number_of_characters': 1973257}, 'ind-mak': {'average_sentence1_length': 145.43, 'average_sentence2_length': 150.61, 'num_samples': 6600, 'number_of_characters': 1953868}, 'ind-min': {'average_sentence1_length': 145.43, 'average_sentence2_length': 148.06, 'num_samples': 6600, 'number_of_characters': 1937033}, 'ind-mui': {'average_sentence1_length': 150.45, 'average_sentence2_length': 150.99, 'num_samples': 1000, 'number_of_characters': 301448}, 'ind-rej': {'average_sentence1_length': 151.62, 'average_sentence2_length': 139.58, 'num_samples': 1000, 'number_of_characters': 291205}, 'ind-sun': {'average_sentence1_length': 145.43, 'average_sentence2_length': 150.99, 'num_samples': 6600, 'number_of_characters': 1956344}}}}
NusaX-senti (Winata et al., 2022)	['ace', 'ban', 'bbc', 'bjn', 'bug', 'eng', 'ind', 'jav', 'mad', 'min', 'nij', 'sun']	Classification	s2s	[Reviews, Web, Social, Constructed, Written]	None	None
NusaXBitextMining (Winata et al., 2023)	['ace', 'ban', 'bbc', 'bjn', 'bug', 'eng', 'ind', 'jav', 'mad', 'min', 'nij', 'sun']	BitextMining	s2s	[Reviews, Written]	None	None
OPP115DataRetentionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115DataSecurityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115DoNotTrackLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115FirstPartyCollectionUseLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115InternationalAndSpecificAudiencesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115PolicyChangeLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115ThirdPartySharingCollectionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115UserAccessEditAndDeletionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OPP115UserChoiceControlLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
Ocnli (Hai Hu, 2020)	['cmn']	PairClassification	s2s		None	None
OdiaNewsClassification (Anoop Kunchukuttan, 2020)	['ory']	Classification	s2s	[News, Written]	None	None
OnlineShopping (Xiao et al., 2023)	['cmn']	Classification	s2s		None	None
OnlineStoreReviewSentimentClassification	['ara']	Classification	s2s	[Reviews, Written]	None	None
OpusparcusPC (Mathias Creutz, 2018)	['deu', 'eng', 'fin', 'fra', 'rus', 'swe']	PairClassification	s2s	[Spoken, Spoken]	None	None
OralArgumentQuestionPurposeLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
OverrulingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
PAC (Łukasz Augustyniak, 2022)	['pol']	Classification	p2p	[Legal, Written]	None	None
PAWSX (Shitao Xiao, 2024)	['cmn']	STS	s2s		None	None
PIQA (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
PROALegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
PSC	['pol']	PairClassification	s2s	[News, Written]	None	None
PatentClassification	['eng']	Classification	s2s	[Legal, Written]	None	None
PawsXPairClassification (Yinfei Yang, 2019)	['cmn', 'deu', 'eng', 'fra', 'jpn', 'kor', 'spa']	PairClassification	s2s	[Web, Encyclopaedic, Written]	{'test': 14000, 'validation': 14000}	{'test': {'num_samples': 14000, 'number_of_characters': 2551922, 'avg_sentence1_len': 91.18, 'avg_sentence2_len': 91.1, 'unique_labels': 2, 'labels': {'1': {'count': 6285}, '0': {'count': 7715}}, 'hf_subset_descriptive_stats': {'de': {'num_samples': 2000, 'number_of_characters': 478034, 'avg_sentence1_len': 119.78, 'avg_sentence2_len': 119.24, 'unique_labels': 2, 'labels': {'1': {'count': 895}, '0': {'count': 1105}}}, 'en': {'num_samples': 2000, 'number_of_characters': 454362, 'avg_sentence1_len': 113.76, 'avg_sentence2_len': 113.42, 'unique_labels': 2, 'labels': {'1': {'count': 907}, '0': {'count': 1093}}}, 'es': {'num_samples': 2000, 'number_of_characters': 471226, 'avg_sentence1_len': 117.81, 'avg_sentence2_len': 117.8, 'unique_labels': 2, 'labels': {'1': {'count': 907}, '0': {'count': 1093}}}, 'fr': {'num_samples': 2000, 'number_of_characters': 480033, 'avg_sentence1_len': 120.03, 'avg_sentence2_len': 119.99, 'unique_labels': 2, 'labels': {'1': {'count': 903}, '0': {'count': 1097}}}, 'ja': {'num_samples': 2000, 'number_of_characters': 235106, 'avg_sentence1_len': 58.68, 'avg_sentence2_len': 58.88, 'unique_labels': 2, 'labels': {'1': {'count': 883}, '0': {'count': 1117}}}, 'ko': {'num_samples': 2000, 'number_of_characters': 260149, 'avg_sentence1_len': 64.96, 'avg_sentence2_len': 65.11, 'unique_labels': 2, 'labels': {'1': {'count': 896}, '0': {'count': 1104}}}, 'zh': {'num_samples': 2000, 'number_of_characters': 173012, 'avg_sentence1_len': 43.23, 'avg_sentence2_len': 43.27, 'unique_labels': 2, 'labels': {'1': {'count': 894}, '0': {'count': 1106}}}}}, 'validation': {'num_samples': 14000, 'number_of_characters': 2524625, 'avg_sentence1_len': 90.13, 'avg_sentence2_len': 90.2, 'unique_labels': 2, 'labels': {'1': {'count': 5948}, '0': {'count': 8052}}, 'hf_subset_descriptive_stats': {'de': {'num_samples': 2000, 'number_of_characters': 467643, 'avg_sentence1_len': 116.82, 'avg_sentence2_len': 117.0, 'unique_labels': 2, 'labels': {'1': {'count': 831}, '0': {'count': 1169}}}, 'en': {'num_samples': 2000, 'number_of_characters': 451931, 'avg_sentence1_len': 113.11, 'avg_sentence2_len': 112.86, 'unique_labels': 2, 'labels': {'1': {'count': 863}, '0': {'count': 1137}}}, 'es': {'num_samples': 2000, 'number_of_characters': 466112, 'avg_sentence1_len': 116.33, 'avg_sentence2_len': 116.73, 'unique_labels': 2, 'labels': {'1': {'count': 847}, '0': {'count': 1153}}}, 'fr': {'num_samples': 2000, 'number_of_characters': 478510, 'avg_sentence1_len': 119.5, 'avg_sentence2_len': 119.75, 'unique_labels': 2, 'labels': {'1': {'count': 860}, '0': {'count': 1140}}}, 'ja': {'num_samples': 2000, 'number_of_characters': 229655, 'avg_sentence1_len': 57.51, 'avg_sentence2_len': 57.32, 'unique_labels': 2, 'labels': {'1': {'count': 854}, '0': {'count': 1146}}}, 'ko': {'num_samples': 2000, 'number_of_characters': 261355, 'avg_sentence1_len': 65.16, 'avg_sentence2_len': 65.52, 'unique_labels': 2, 'labels': {'1': {'count': 840}, '0': {'count': 1160}}}, 'zh': {'num_samples': 2000, 'number_of_characters': 169419, 'avg_sentence1_len': 42.45, 'avg_sentence2_len': 42.26, 'unique_labels': 2, 'labels': {'1': {'count': 853}, '0': {'count': 1147}}}}}}
PersianFoodSentimentClassification (Mehrdad Farahani et al., 2020)	['fas']	Classification	s2s	[Reviews, Written]	None	None
PersonalJurisdictionLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
PhincBitextMining (Srivastava et al., 2020)	['eng', 'hin']	BitextMining	s2s	[Social, Written]	None	None
PlscClusteringP2P.v2	['pol']	Clustering	s2s	[Academic, Written]	None	None
PlscClusteringS2S.v2	['pol']	Clustering	s2s	[Academic, Written]	None	None
PoemSentimentClassification (Emily Sheng, 2020)	['eng']	Classification	s2s	[Reviews, Written]	None	None
PolEmo2.0-IN	['pol']	Classification	s2s	[Written, Social]	None	None
PolEmo2.0-OUT	['pol']	Classification	s2s	[Written, Social]	None	None
PpcPC (Sławomir Dadas, 2022)	['pol']	PairClassification	s2s	[Fiction, Non-fiction, Web, Written, Spoken, Social, News]	None	None
PublicHealthQA	['ara', 'eng', 'fra', 'kor', 'rus', 'spa', 'vie', 'zho']	Retrieval	s2p	[Medical, Government, Web, Written]	None	None
PunjabiNewsClassification (Anoop Kunchukuttan, 2020)	['pan']	Classification	s2s	[News, Written]	None	None
QBQTC	['cmn']	STS	s2s		None	None
Quail (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
Quora-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2s		None	None
Quora-PLHardNegatives (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2s		None	None
QuoraRetrieval (DataCanary et al., 2017)	['eng']	Retrieval	s2s		None	None
QuoraRetrievalHardNegatives (DataCanary et al., 2017)	['eng']	Retrieval	s2s		None	None
RARbCode (Xiao et al., 2024)	['eng']	Retrieval	s2p	[Programming, Written]	None	None
RARbMath (Xiao et al., 2024)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
RTE3	['deu', 'eng', 'fra', 'ita']	PairClassification	s2s	[News, Web, Encyclopaedic, Written]	None	None
RUParaPhraserSTS (Pivovarova et al., 2017)	['rus']	STS	s2s	[News, Written]	None	None
RedditClustering.v2 (Gregor Geigle, 2021)	['eng']	Clustering	s2s	[Web, Social, Written]	None	None
RedditClusteringP2P.v2 (Gregor Geigle, 2021)	['eng']	Clustering	p2p	[Web, Social, Written]	None	None
RestaurantReviewSentimentClassification (ElSahar et al., 2015)	['ara']	Classification	s2s	[Reviews, Written]	None	None
RiaNewsRetrieval (Gavrilov et al., 2019)	['rus']	Retrieval	s2p	[News, Written]	None	None
RiaNewsRetrievalHardNegatives (Gavrilov et al., 2019)	['rus']	Retrieval	s2p	[News, Written]	None	None
Robust04InstructionRetrieval (Orion Weller, 2024)	['eng']	InstructionRetrieval	s2p	[News, Written]	None	None
RomaTalesBitextMining	['hun', 'rom']	BitextMining	s2s	[Fiction, Written]	None	None
RomaniBibleClustering	['rom']	Clustering	p2p	[Religious, Written]	None	None
RomanianReviewsSentiment (Anca Maria Tache, 2021)	['ron']	Classification	s2s	[Reviews, Written]	None	None
RomanianSentimentClassification (Dumitrescu et al., 2020)	['ron']	Classification	s2s	[Reviews, Written]	None	None
RonSTS (Dumitrescu et al., 2021)	['ron']	STS	s2s	[News, Social, Web, Written]	None	None
RuBQReranking (Ivan Rybin, 2021)	['rus']	Reranking	s2p	[Encyclopaedic, Written]	None	None
RuBQRetrieval (Ivan Rybin, 2021)	['rus']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
RuReviewsClassification (Sergey Smetanin, 2019)	['rus']	Classification	p2p	[Reviews, Written]	None	None
RuSTSBenchmarkSTS (Philip May, 2021)	['rus']	STS	s2s	[News, Social, Web, Written]	None	None
RuSciBenchGRNTIClassification	['rus']	Classification	p2p	[Academic, Written]	None	None
RuSciBenchGRNTIClusteringP2P	['rus']	Clustering	p2p	[Academic, Written]	{'test': 2048}	{'test': {'num_samples': 2048, 'number_of_characters': 1822339, 'average_text_length': 889.81, 'average_labels_per_text': 1.0, 'unique_labels': 28, 'labels': {'3': {'count': 73}, '4': {'count': 73}, '20': {'count': 73}, '9': {'count': 73}, '21': {'count': 73}, '15': {'count': 73}, '16': {'count': 74}, '2': {'count': 73}, '8': {'count': 73}, '23': {'count': 73}, '6': {'count': 73}, '24': {'count': 73}, '10': {'count': 73}, '1': {'count': 73}, '17': {'count': 74}, '14': {'count': 74}, '18': {'count': 73}, '27': {'count': 73}, '19': {'count': 73}, '22': {'count': 73}, '12': {'count': 73}, '25': {'count': 73}, '5': {'count': 74}, '0': {'count': 73}, '26': {'count': 73}, '11': {'count': 73}, '13': {'count': 73}, '7': {'count': 73}}}}
RuSciBenchOECDClassification	['rus']	Classification	p2p	[Academic, Written]	None	None
RuSciBenchOECDClusteringP2P	['rus']	Clustering	p2p	[Academic, Written]	None	None
SCDBPAccountabilityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDBPAuditsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDBPCertificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDBPTrainingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDBPVerificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDDAccountabilityLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDDAuditsLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDDCertificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDDTrainingLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCDDVerificationLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
SCIDOCS (Arman Cohan, 2020)	['eng']	Retrieval	s2p	[Academic, Written, Non-fiction]	None	None
SCIDOCS-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
SIB200Classification (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, Written]	None	None
SIB200ClusteringS2S (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']	Clustering	s2s	[News, Written]	None	None
SICK-BR-PC	['por']	PairClassification	s2s	[Web, Written]	None	None
SICK-BR-STS	['por']	STS	s2s	[Web, Written]	None	None
SICK-E-PL	['pol']	PairClassification	s2s		None	None
SICK-R	['eng']	STS	s2s		None	None
SICK-R-PL	['pol']	STS	s2s	[Web, Written]	None	None
SICKFr	['fra']	STS	s2s		None	None
SIQA (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
SKQuadRetrieval	['slk']	Retrieval	s2s	[Encyclopaedic]	None	None
SNLHierarchicalClusteringP2P (Navjord et al., 2023)	['nob']	Clustering	p2p	[Encyclopaedic, Non-fiction, Written]	None	None
SNLHierarchicalClusteringS2S (Navjord et al., 2023)	['nob']	Clustering	s2s	[Encyclopaedic, Non-fiction, Written]	None	None
SNLRetrieval (Navjord et al., 2023)	['nob']	Retrieval	p2p	[Encyclopaedic, Non-fiction, Written]	None	None
SRNCorpusBitextMining (Zwennicker et al., 2022)	['nld', 'srn']	BitextMining	s2s	[Social, Web, Written]	None	None
STS12 (Agirre et al., 2012)	['eng']	STS	s2s	[Encyclopaedic, News, Written]	{'test': 3108}	{'test': {'num_samples': 3108, 'number_of_characters': 402118, 'average_sentence1_len': 63.79, 'average_sentence2_len': 65.59, 'avg_score': 3.51}}
STS13 (Eneko Agirre, 2013)	['eng']	STS	s2s	[Web, News, Non-fiction, Written]	None	None
STS14	['eng']	STS	s2s	[Blog, Web, Spoken]	None	None
STS15	['eng']	STS	s2s	[Blog, News, Web, Written, Spoken]	None	None
STS16	['eng']	STS	s2s	[Blog, Web, Spoken]	None	None
STS17	['ara', 'deu', 'eng', 'fra', 'ita', 'kor', 'nld', 'spa', 'tur']	STS	s2s	[News, Web, Written]	{'test': 5346}	{'test': {'num_samples': 5346, 'number_of_characters': 400264, 'average_sentence1_len': 38.15, 'average_sentence2_len': 36.73, 'avg_score': 2.36, 'hf_subset_descriptive_stats': {'ko-ko': {'num_samples': 2846, 'number_of_characters': 183387, 'average_sentence1_len': 31.99, 'average_sentence2_len': 32.44, 'avg_score': 2.47}, 'ar-ar': {'num_samples': 250, 'number_of_characters': 16247, 'average_sentence1_len': 32.21, 'average_sentence2_len': 32.78, 'avg_score': 2.22}, 'en-ar': {'num_samples': 250, 'number_of_characters': 18764, 'average_sentence1_len': 42.36, 'average_sentence2_len': 32.7, 'avg_score': 2.14}, 'en-de': {'num_samples': 250, 'number_of_characters': 22177, 'average_sentence1_len': 43.95, 'average_sentence2_len': 44.76, 'avg_score': 2.28}, 'en-en': {'num_samples': 250, 'number_of_characters': 21669, 'average_sentence1_len': 43.95, 'average_sentence2_len': 42.72, 'avg_score': 2.28}, 'en-tr': {'num_samples': 250, 'number_of_characters': 20879, 'average_sentence1_len': 41.92, 'average_sentence2_len': 41.6, 'avg_score': 2.13}, 'es-en': {'num_samples': 250, 'number_of_characters': 23216, 'average_sentence1_len': 50.84, 'average_sentence2_len': 42.02, 'avg_score': 2.15}, 'es-es': {'num_samples': 250, 'number_of_characters': 25265, 'average_sentence1_len': 49.84, 'average_sentence2_len': 51.22, 'avg_score': 2.23}, 'fr-en': {'num_samples': 250, 'number_of_characters': 23087, 'average_sentence1_len': 49.62, 'average_sentence2_len': 42.72, 'avg_score': 2.28}, 'it-en': {'num_samples': 250, 'number_of_characters': 23188, 'average_sentence1_len': 50.03, 'average_sentence2_len': 42.72, 'avg_score': 2.28}, 'nl-en': {'num_samples': 250, 'number_of_characters': 22385, 'average_sentence1_len': 46.82, 'average_sentence2_len': 42.72, 'avg_score': 2.28}}}}
STS22.v2	['ara', 'cmn', 'deu', 'eng', 'fra', 'ita', 'pol', 'rus', 'spa', 'tur']	STS	p2p	[News, Written]	None	None
STSB (Shitao Xiao, 2024)	['cmn']	STS	s2s		None	None
STSBenchmark (Philip May, 2021)	['eng']	STS	s2s		None	None
STSBenchmarkMultilingualSTS (Philip May, 2021)	['cmn', 'deu', 'eng', 'fra', 'ita', 'nld', 'pol', 'por', 'rus', 'spa']	STS	s2s	[News, Social, Web, Spoken, Written]	None	None
STSES (Agirre et al., 2015)	['spa']	STS	s2s	[Written]	None	None
SadeemQuestionRetrieval	['ara']	Retrieval	s2p	[Written, Written]	None	None
SanskritShlokasClassification	['san']	Classification	s2s	[Religious, Written]	None	None
ScalaClassification	['dan', 'nno', 'nob', 'swe']	Classification	s2s	[Fiction, News, Non-fiction, Blog, Spoken, Web, Written]	None	None
SciDocsRR	['eng']	Reranking	s2s	[Academic, Non-fiction, Written]	None	None
SciFact (Arman Cohan, 2020)	['eng']	Retrieval	s2p		None	None
SciFact-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p		None	None
SemRel24STS (Nedjma Ousidhoum, 2024)	['afr', 'amh', 'arb', 'arq', 'ary', 'eng', 'hau', 'hin', 'ind', 'kin', 'mar', 'tel']	STS	s2s	[Spoken, Written]	None	None
SensitiveTopicsClassification	['rus']	MultilabelClassification	s2s	[Web, Social, Written]	None	None
SentimentAnalysisHindi (Shantipriya Parida, 2023)	['hin']	Classification	s2s	[Reviews, Written]	None	None
SinhalaNewsClassification (Nisansa de Silva, 2015)	['sin']	Classification	s2s	[News, Written]	None	None
SinhalaNewsSourceClassification (Dhananjaya et al., 2022)	['sin']	Classification	s2s	[News, Written]	None	None
SiswatiNewsClassification (Madodonga et al., 2023)	['ssw']	Classification	s2s	[News, Written]	None	None
SlovakHateSpeechClassification	['slk']	Classification	s2s	[Social, Written]	{'test': 1319}	{'test': {'num_samples': 1319, 'number_of_characters': 122279, 'average_text_length': 92.71, 'unique_labels': 2, 'labels': {'1': {'count': 360}, '0': {'count': 959}}}}
SlovakMovieReviewSentimentClassification ({�{S, 2023)	['svk']	Classification	s2s	[Reviews, Written]	None	None
SlovakSumRetrieval	['slk']	Retrieval	s2s	[News, Social, Web, Written]	None	None
SouthAfricanLangClassification (ExploreAI Academy et al., 2022)	['afr', 'eng', 'nbl', 'nso', 'sot', 'ssw', 'tsn', 'tso', 'ven', 'xho', 'zul']	Classification	s2s	[Web, Non-fiction, Written]	None	None
SpanishNewsClassification	['spa']	Classification	s2s	[News, Written]	None	None
SpanishNewsClusteringP2P	['spa']	Clustering	p2p		None	None
SpanishPassageRetrievalS2P	['spa']	Retrieval	s2p		None	None
SpanishPassageRetrievalS2S	['spa']	Retrieval	s2s		None	None
SpanishSentimentClassification	['spa']	Classification	s2s	[Reviews, Written]	None	None
SpartQA (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
SprintDuplicateQuestions	['eng']	PairClassification	s2s	[Programming, Written]	None	None
StackExchangeClustering.v2 (Gregor Geigle, 2021)	['eng']	Clustering	s2s	[Web, Written]	None	None
StackExchangeClusteringP2P.v2 (Gregor Geigle, 2021)	['eng']	Clustering	p2p	[Web, Written]	None	None
StackOverflowDupQuestions (Xueqing Liu, 2018)	['eng']	Reranking	s2s		None	None
StackOverflowQA (Xiangyang Li, 2024)	['eng']	Retrieval	p2p	[Programming, Written]	{'test': 21925}	{'test': {'number_of_characters': 2506.11, 'num_samples': 21925, 'num_queries': 1994, 'num_documents': 19931, 'average_document_length': 0.06, 'average_query_length': 0.65, 'average_relevant_docs_per_query': 1.0}}
StatcanDialogueDatasetRetrieval	['eng', 'fra']	Retrieval	s2p	[Government, Web, Written]	None	None
SummEvalFrSummarization.v2 (Fabbri et al., 2020)	['fra']	Summarization	p2p	[News, Written]	None	None
SummEvalSummarization.v2 (Fabbri et al., 2020)	['eng']	Summarization	p2p	[News, Written]	None	None
SwahiliNewsClassification	['swa']	Classification	s2s	[News, Written]	None	None
SweFaqRetrieval (Berdi{�{c, 2023)	['swe']	Retrieval	s2s	[Government, Non-fiction, Written]	None	None
SweRecClassification	['swe']	Classification	s2s	[Reviews, Written]	None	None
SwedishSentimentClassification	['swe']	Classification	s2s	[Reviews, Written]	None	None
SwednClusteringP2P (Monsen et al., 2021)	['swe']	Clustering	p2p	[News, Non-fiction, Written]	None	None
SwednClusteringS2S (Monsen et al., 2021)	['swe']	Clustering	s2s	[News, Non-fiction, Written]	None	None
SwednRetrieval (Monsen et al., 2021)	['swe']	Retrieval	p2p	[News, Non-fiction, Written]	None	None
SwissJudgementClassification (Joel Niklaus, 2022)	['deu', 'fra', 'ita']	Classification	s2s	[Legal, Written]	None	None
SyntecReranking (Mathieu Ciancone, 2024)	['fra']	Reranking	s2p	[Legal, Written]	None	None
SyntecRetrieval (Mathieu Ciancone, 2024)	['fra']	Retrieval	s2p	[Legal, Written]	None	None
SyntheticText2SQL (Meyer et al., 2024)	['eng', 'sql']	Retrieval	p2p	[Programming, Written]	{'test': 111702}	{'test': {'number_of_characters': 210.98, 'num_samples': 111702, 'num_queries': 5851, 'num_documents': 105851, 'average_document_length': 0.0, 'average_query_length': 0.01, 'average_relevant_docs_per_query': 1.0}}
T2Reranking (Xiaohui Xie, 2023)	['cmn']	Reranking	s2s		None	None
T2Retrieval (Xiaohui Xie, 2023)	['cmn']	Retrieval	s2p		None	None
TERRa (Shavrina et al., 2020)	['rus']	PairClassification	s2s	[News, Web, Written]	None	None
TNews	['cmn']	Classification	s2s		None	None
TRECCOVID (Kirk Roberts, 2021)	['eng']	Retrieval	s2p		None	None
TRECCOVID-PL (Konrad Wojtasik, 2024)	['pol']	Retrieval	s2p	[Academic, Non-fiction, Written]	None	None
TV2Nordretrieval	['dan']	Retrieval	p2p	[News, Non-fiction, Written]	None	None
TamilNewsClassification (Anoop Kunchukuttan, 2020)	['tam']	Classification	s2s	[News, Written]	None	None
Tatoeba (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	[Written]	None	None
TbilisiCityHallBitextMining	['eng', 'kat']	BitextMining	s2s	[News, Written]	None	None
TelemarketingSalesRuleLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
TeluguAndhraJyotiNewsClassification	['tel']	Classification	s2s	[News, Written]	None	None
TempReasonL1 (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL2Context (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL2Fact (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL2Pure (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL3Context (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL3Fact (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TempReasonL3Pure (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
TenKGnadClassification	['deu']	Classification	p2p	[News, Written]	None	None
TenKGnadClusteringP2P.v2	['deu']	Clustering	p2p	[News, Non-fiction, Written]	None	None
TenKGnadClusteringS2S.v2	['deu']	Clustering	s2s	[News, Non-fiction, Written]	None	None
TextualismToolDictionariesLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
TextualismToolPlainLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
ThuNewsClusteringP2P.v2 (Sun et al., 2016)	['cmn']	Clustering	p2p	[News, Written]	None	None
ThuNewsClusteringS2S.v2 (Sun et al., 2016)	['cmn']	Clustering	s2s	[News, Written]	None	None
TopiOCQA (Vaibhav Adlakha, 2022)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
TopiOCQAHardNegatives (Vaibhav Adlakha, 2022)	['eng']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
Touche2020Retrieval.v3	['eng']	Retrieval	s2p	[Academic]	{'test': 303781}	{'test': {'number_of_characters': 2140.82, 'num_samples': 303781, 'num_queries': 49, 'num_documents': 303732, 'average_document_length': 0.01, 'average_query_length': 0.89, 'average_relevant_docs_per_query': 34.94}}
ToxicChatClassification (Zi Lin, 2023)	['eng']	Classification	s2s	[Constructed, Written]	None	None
ToxicConversationsClassification (cjadams, 2019)	['eng']	Classification	s2s	[Social, Written]	None	None
TswanaNewsClassification (Vukosi Marivate, 2023)	['tsn']	Classification	s2s	[News, Written]	None	None
TurHistQuadRetrieval (Soygazi et al., 2021)	['tur']	Retrieval	p2p	[Encyclopaedic, Non-fiction, Academic, Written]	None	None
TurkicClassification	['bak', 'kaz', 'kir']	Classification	s2s	[News, Written]	None	None
TurkishMovieSentimentClassification (Erkin Demirtas, 2013)	['tur']	Classification	s2s	[Reviews, Written]	None	None
TurkishProductSentimentClassification (Erkin Demirtas, 2013)	['tur']	Classification	s2s	[Reviews, Written]	None	None
TweetEmotionClassification (Al-Khatib et al., 2018)	['ara']	Classification	s2s	[Social, Written]	None	None
TweetSarcasmClassification	['ara']	Classification	s2s	[Social, Written]	None	None
TweetSentimentClassification	['ara', 'deu', 'eng', 'fra', 'hin', 'ita', 'por', 'spa']	Classification	s2s	[Social, Written]	None	None
TweetSentimentExtractionClassification (Maggie et al., 2020)	['eng']	Classification	s2s	[Social, Written]	None	None
TweetTopicSingleClassification	['eng']	Classification	s2s	[Social, News, Written]	None	None
TwentyNewsgroupsClustering.v2 (Ken Lang, 1995)	['eng']	Clustering	s2s	[News, Written]	None	None
TwitterHjerneRetrieval (Holm et al., 2024)	['dan']	Retrieval	p2p	[Social, Written]	None	None
TwitterSemEval2015	['eng']	PairClassification	s2s		None	None
TwitterURLCorpus	['eng']	PairClassification	s2s		{'test': 51534}	{'test': {'num_samples': 51534, 'number_of_characters': 8659940, 'avg_sentence1_len': 79.49, 'avg_sentence2_len': 88.55, 'unique_labels': 2, 'labels': {'0': {'count': 38546}, '1': {'count': 12988}}}}
UCCVCommonLawLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
UkrFormalityClassification	['ukr']	Classification	s2s	[News, Written]	None	None
UnfairTOSLegalBenchClassification (Neel Guha, 2023)	['eng']	Classification	s2s	[Legal, Written]	None	None
UrduRomanSentimentClassification (Sharf,Zareen, 2018)	['urd']	Classification	s2s	[Social, Written]	None	None
VGHierarchicalClusteringP2P (Navjord et al., 2023)	['nob']	Clustering	p2p	[News, Non-fiction, Written]	None	None
VGHierarchicalClusteringS2S (Navjord et al., 2023)	['nob']	Clustering	p2p	[News, Non-fiction, Written]	None	None
VideoRetrieval	['cmn']	Retrieval	s2p		None	None
VieMedEVBitextMining (Nhu Vo, 2024)	['eng', 'vie']	BitextMining	s2s	[Medical, Written]	None	None
VieQuADRetrieval	['vie']	Retrieval	s2p	[Encyclopaedic, Non-fiction, Written]	None	None
VieStudentFeedbackClassification (Nguyen et al., 2018)	['vie']	Classification	s2s	[Reviews, Written]	None	None
VoyageMMarcoReranking (Benjamin Clavié, 2023)	['jpn']	Reranking	s2s	[Academic, Non-fiction, Written]	None	None
WRIMEClassification	['jpn']	Classification	s2s	[Social, Written]	None	None
Waimai (Xiao et al., 2023)	['cmn']	Classification	s2s		None	None
WebLINXCandidatesReranking (Xing Han Lù, 2024)	['eng']	Reranking	p2p	[Academic, Web, Written]	None	None
WikiCitiesClustering	['eng']	Clustering	p2p	[Encyclopaedic, Written]	None	None
WikiClusteringP2P.v2	['bos', 'cat', 'ces', 'dan', 'eus', 'glv', 'ilo', 'kur', 'lav', 'min', 'mlt', 'sco', 'sqi', 'wln']	Clustering	p2p	[Encyclopaedic, Written]	None	None
WikipediaRerankingMultilingual	['ben', 'bul', 'ces', 'dan', 'deu', 'eng', 'fas', 'fin', 'hin', 'ita', 'nld', 'nor', 'por', 'ron', 'srp', 'swe']	Reranking	s2p	[Encyclopaedic, Written]	{'test': 24000}	{'test': {'num_samples': 24000, 'number_of_characters': 83866932, 'num_positive': 24000, 'num_negative': 192000, 'avg_query_len': 59.09, 'avg_positive_len': 385.45, 'avg_negative_len': 381.24, 'hf_subset_descriptive_stats': {'bg': {'num_samples': 1500, 'number_of_characters': 5145316, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 60.83, 'avg_positive_len': 375.89, 'avg_negative_len': 374.19}, 'bn': {'num_samples': 1500, 'number_of_characters': 5390581, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 47.27, 'avg_positive_len': 394.59, 'avg_negative_len': 393.98}, 'cs': {'num_samples': 1500, 'number_of_characters': 5079180, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 56.27, 'avg_positive_len': 383.84, 'avg_negative_len': 368.25}, 'da': {'num_samples': 1500, 'number_of_characters': 4746132, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 56.75, 'avg_positive_len': 351.68, 'avg_negative_len': 344.46}, 'de': {'num_samples': 1500, 'number_of_characters': 5483592, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 70.0, 'avg_positive_len': 391.54, 'avg_negative_len': 399.27}, 'en': {'num_samples': 1500, 'number_of_characters': 6217884, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 68.37, 'avg_positive_len': 451.73, 'avg_negative_len': 453.14}, 'fa': {'num_samples': 1500, 'number_of_characters': 4732619, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 48.67, 'avg_positive_len': 347.7, 'avg_negative_len': 344.84}, 'fi': {'num_samples': 1500, 'number_of_characters': 5209132, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 55.34, 'avg_positive_len': 394.71, 'avg_negative_len': 377.84}, 'hi': {'num_samples': 1500, 'number_of_characters': 5620959, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 50.78, 'avg_positive_len': 420.38, 'avg_negative_len': 409.52}, 'it': {'num_samples': 1500, 'number_of_characters': 5420496, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 70.05, 'avg_positive_len': 396.97, 'avg_negative_len': 393.33}, 'nl': {'num_samples': 1500, 'number_of_characters': 5169556, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 65.34, 'avg_positive_len': 380.79, 'avg_negative_len': 375.03}, 'pt': {'num_samples': 1500, 'number_of_characters': 5474356, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 65.12, 'avg_positive_len': 404.02, 'avg_negative_len': 397.55}, 'ro': {'num_samples': 1500, 'number_of_characters': 4796113, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 61.97, 'avg_positive_len': 346.71, 'avg_negative_len': 348.59}, 'sr': {'num_samples': 1500, 'number_of_characters': 5271732, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 55.67, 'avg_positive_len': 386.35, 'avg_negative_len': 384.06}, 'no': {'num_samples': 1500, 'number_of_characters': 5036586, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 55.29, 'avg_positive_len': 367.72, 'avg_negative_len': 366.84}, 'sv': {'num_samples': 1500, 'number_of_characters': 5072698, 'num_positive': 1500, 'num_negative': 12000, 'avg_query_len': 57.73, 'avg_positive_len': 372.59, 'avg_negative_len': 368.94}}}}
WikipediaRetrievalMultilingual	['ben', 'bul', 'ces', 'dan', 'deu', 'eng', 'fas', 'fin', 'hin', 'ita', 'nld', 'nor', 'por', 'ron', 'srp', 'swe']	Retrieval	s2p	[Encyclopaedic, Written]	None	None
WinoGrande (Xiao et al., 2024)	['eng']	Retrieval	s2s	[Encyclopaedic, Written]	None	None
WisesightSentimentClassification	['tha']	Classification	s2s	[Social, News, Written]	None	None
XMarket (Bonab et al., 2021)	['deu', 'eng', 'spa']	Retrieval	s2p		None	None
XNLI (Conneau et al., 2018)	['ara', 'bul', 'deu', 'ell', 'eng', 'fra', 'hin', 'rus', 'spa', 'swa', 'tha', 'tur', 'vie', 'zho']	PairClassification	s2s	[Non-fiction, Fiction, Government, Written]	{'test': 19110, 'validation': 19110}	{'test': {'num_samples': 19110, 'number_of_characters': 2907145, 'avg_sentence1_len': 103.24, 'avg_sentence2_len': 48.89, 'unique_labels': 2, 'labels': {'0': {'count': 9562}, '1': {'count': 9548}}, 'hf_subset_descriptive_stats': {'ar': {'num_samples': 1365, 'number_of_characters': 179591, 'avg_sentence1_len': 89.57, 'avg_sentence2_len': 41.99, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'bg': {'num_samples': 1365, 'number_of_characters': 220646, 'avg_sentence1_len': 110.02, 'avg_sentence2_len': 51.63, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'de': {'num_samples': 1365, 'number_of_characters': 241224, 'avg_sentence1_len': 119.93, 'avg_sentence2_len': 56.79, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'el': {'num_samples': 1365, 'number_of_characters': 240222, 'avg_sentence1_len': 119.05, 'avg_sentence2_len': 56.93, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'en': {'num_samples': 1365, 'number_of_characters': 212223, 'avg_sentence1_len': 105.67, 'avg_sentence2_len': 49.8, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'es': {'num_samples': 1365, 'number_of_characters': 232207, 'avg_sentence1_len': 115.43, 'avg_sentence2_len': 54.68, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'fr': {'num_samples': 1365, 'number_of_characters': 245259, 'avg_sentence1_len': 121.1, 'avg_sentence2_len': 58.58, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'hi': {'num_samples': 1365, 'number_of_characters': 211312, 'avg_sentence1_len': 104.63, 'avg_sentence2_len': 50.17, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'ru': {'num_samples': 1365, 'number_of_characters': 222797, 'avg_sentence1_len': 110.77, 'avg_sentence2_len': 52.45, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'sw': {'num_samples': 1365, 'number_of_characters': 210103, 'avg_sentence1_len': 104.44, 'avg_sentence2_len': 49.48, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'th': {'num_samples': 1365, 'number_of_characters': 192788, 'avg_sentence1_len': 96.69, 'avg_sentence2_len': 44.54, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'tr': {'num_samples': 1365, 'number_of_characters': 208658, 'avg_sentence1_len': 103.68, 'avg_sentence2_len': 49.19, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'vi': {'num_samples': 1365, 'number_of_characters': 223549, 'avg_sentence1_len': 111.31, 'avg_sentence2_len': 52.46, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'zh': {'num_samples': 1365, 'number_of_characters': 66566, 'avg_sentence1_len': 33.04, 'avg_sentence2_len': 15.73, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}}}, 'validation': {'num_samples': 19110, 'number_of_characters': 2909058, 'avg_sentence1_len': 103.21, 'avg_sentence2_len': 49.02, 'unique_labels': 2, 'labels': {'0': {'count': 9562}, '1': {'count': 9548}}, 'hf_subset_descriptive_stats': {'ar': {'num_samples': 1365, 'number_of_characters': 177355, 'avg_sentence1_len': 88.32, 'avg_sentence2_len': 41.61, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'bg': {'num_samples': 1365, 'number_of_characters': 219988, 'avg_sentence1_len': 109.2, 'avg_sentence2_len': 51.97, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'de': {'num_samples': 1365, 'number_of_characters': 241852, 'avg_sentence1_len': 119.81, 'avg_sentence2_len': 57.37, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'el': {'num_samples': 1365, 'number_of_characters': 241275, 'avg_sentence1_len': 119.88, 'avg_sentence2_len': 56.88, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'en': {'num_samples': 1365, 'number_of_characters': 212384, 'avg_sentence1_len': 105.72, 'avg_sentence2_len': 49.88, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'es': {'num_samples': 1365, 'number_of_characters': 232451, 'avg_sentence1_len': 115.17, 'avg_sentence2_len': 55.12, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'fr': {'num_samples': 1365, 'number_of_characters': 246857, 'avg_sentence1_len': 121.76, 'avg_sentence2_len': 59.09, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'hi': {'num_samples': 1365, 'number_of_characters': 212269, 'avg_sentence1_len': 105.06, 'avg_sentence2_len': 50.44, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'ru': {'num_samples': 1365, 'number_of_characters': 221152, 'avg_sentence1_len': 109.75, 'avg_sentence2_len': 52.27, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'sw': {'num_samples': 1365, 'number_of_characters': 210482, 'avg_sentence1_len': 104.32, 'avg_sentence2_len': 49.88, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'th': {'num_samples': 1365, 'number_of_characters': 192640, 'avg_sentence1_len': 97.28, 'avg_sentence2_len': 43.84, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'tr': {'num_samples': 1365, 'number_of_characters': 208305, 'avg_sentence1_len': 102.97, 'avg_sentence2_len': 49.64, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'vi': {'num_samples': 1365, 'number_of_characters': 224811, 'avg_sentence1_len': 112.26, 'avg_sentence2_len': 52.43, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}, 'zh': {'num_samples': 1365, 'number_of_characters': 67237, 'avg_sentence1_len': 33.41, 'avg_sentence2_len': 15.85, 'unique_labels': 2, 'labels': {'0': {'count': 683}, '1': {'count': 682}}}}}}
XNLIV2 (Upadhyay et al., 2023)	['asm', 'ben', 'bho', 'ell', 'guj', 'kan', 'mar', 'ory', 'pan', 'rus', 'san', 'tam', 'tur']	PairClassification	s2s	[Non-fiction, Fiction, Government, Written]	None	None
XPQARetrieval (Shen et al., 2023)	['ara', 'cmn', 'deu', 'eng', 'fra', 'hin', 'ita', 'jpn', 'kor', 'pol', 'por', 'spa', 'tam']	Retrieval	s2p	[Reviews, Written]	None	None
XQuADRetrieval (Mikel Artetxe, 2019)	['arb', 'deu', 'ell', 'eng', 'hin', 'ron', 'rus', 'spa', 'tha', 'tur', 'vie', 'zho']	Retrieval	s2p	[Web, Written]	None	None
XStance	['deu', 'fra', 'ita']	PairClassification	s2s	[Social, Written]	None	None
YahooAnswersTopicsClassification (Zhang et al., 2015)	['eng']	Classification	s2s	[Web, Written]	None	None
YelpReviewFullClassification (Zhang et al., 2015)	['eng']	Classification	s2s	[Reviews, Written]	None	None
YueOpenriceReviewClassification (Xiang et al., 2019)	['yue']	Classification	s2s	[Reviews, Spoken]	None	None
indonli	['ind']	PairClassification	s2s	[Encyclopaedic, Web, News, Written]	None	None
mFollowIRCrossLingualInstructionRetrieval (Weller et al., 2024)	['eng', 'fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	{'test': 121758}	{'test': {'num_samples': 121758, 'num_docs': 121635, 'num_queries': 123, 'number_of_characters': 283654099, 'average_document_length': 2331.08, 'average_query_length': 81.88, 'average_instruction_length': 389.95, 'average_changed_instruction_length': 450.55, 'average_relevant_docs_per_query': 10.43, 'average_top_ranked_per_query': 1000.0, 'hf_subset_descriptive_stats': {'eng-fas': {'num_samples': 41229, 'num_docs': 41189, 'num_queries': 40, 'number_of_characters': 129597567, 'average_document_length': 3145.5, 'average_query_length': 80.08, 'average_instruction_length': 396.88, 'average_changed_instruction_length': 463.18, 'average_relevant_docs_per_query': 10.85, 'average_top_ranked_per_query': 1000.0}, 'eng-rus': {'num_samples': 39366, 'num_docs': 39326, 'num_queries': 40, 'number_of_characters': 109522175, 'average_document_length': 2784.08, 'average_query_length': 81.88, 'average_instruction_length': 371.12, 'average_changed_instruction_length': 431.8, 'average_relevant_docs_per_query': 9.78, 'average_top_ranked_per_query': 1000.0}, 'eng-zho': {'num_samples': 41163, 'num_docs': 41120, 'num_queries': 43, 'number_of_characters': 44534357, 'average_document_length': 1082.05, 'average_query_length': 83.56, 'average_instruction_length': 401.02, 'average_changed_instruction_length': 456.26, 'average_relevant_docs_per_query': 10.65, 'average_top_ranked_per_query': 1000.0}}}}
mFollowIRInstructionRetrieval (Weller et al., 2024)	['fas', 'rus', 'zho']	Retrieval	s2p	[News, Written]	{'test': 121758}	{'test': {'num_samples': 121758, 'num_docs': 121635, 'num_queries': 123, 'number_of_characters': 283622456, 'average_document_length': 2331.08, 'average_query_length': 57.11, 'average_instruction_length': 281.07, 'average_changed_instruction_length': 326.94, 'average_relevant_docs_per_query': 10.43, 'average_top_ranked_per_query': 1000.0, 'hf_subset_descriptive_stats': {'fas': {'num_samples': 41229, 'num_docs': 41189, 'num_queries': 40, 'number_of_characters': 129593838, 'average_document_length': 3145.5, 'average_query_length': 72.65, 'average_instruction_length': 358.93, 'average_changed_instruction_length': 415.32, 'average_relevant_docs_per_query': 10.85, 'average_top_ranked_per_query': 1000.0}, 'rus': {'num_samples': 39366, 'num_docs': 39326, 'num_queries': 40, 'number_of_characters': 109523683, 'average_document_length': 2784.08, 'average_query_length': 77.5, 'average_instruction_length': 387.0, 'average_changed_instruction_length': 458.0, 'average_relevant_docs_per_query': 9.78, 'average_top_ranked_per_query': 1000.0}, 'zho': {'num_samples': 41163, 'num_docs': 41120, 'num_queries': 43, 'number_of_characters': 44504935, 'average_document_length': 1082.05, 'average_query_length': 23.7, 'average_instruction_length': 110.09, 'average_changed_instruction_length': 122.81, 'average_relevant_docs_per_query': 10.65, 'average_top_ranked_per_query': 1000.0}}}}

Task Count per Language

Language	BitextMining	Classification	Clustering	InstructionRetrieval	MultilabelClassification	PairClassification	Reranking	Retrieval	STS	Speed	Summarization
aai	1	0	0	0	0	0	0	0	0	0	0
aak	1	0	0	0	0	0	0	0	0	0	0
aau	1	0	0	0	0	0	0	0	0	0	0
aaz	1	0	0	0	0	0	0	0	0	0	0
abs	1	0	0	0	0	0	0	0	0	0	0
abt	1	0	0	0	0	0	0	0	0	0	0
abx	1	0	0	0	0	0	0	0	0	0	0
aby	1	0	0	0	0	0	0	0	0	0	0
ace	2	2	1	0	0	0	0	0	0	0	0
acf	1	0	0	0	0	0	0	0	0	0	0
acm	1	1	1	0	0	0	0	1	0	0	0
acq	1	1	1	0	0	0	0	0	0	0	0
acr	1	0	0	0	0	0	0	0	0	0	0
acu	1	0	0	0	0	0	0	0	0	0	0
adz	1	0	0	0	0	0	0	0	0	0	0
aeb	1	1	1	0	0	0	0	0	0	0	0
aer	1	0	0	0	0	0	0	0	0	0	0
aey	1	0	0	0	0	0	0	0	0	0	0
afr	3	4	1	0	0	0	0	1	1	0	0
agd	1	0	0	0	0	0	0	0	0	0	0
agg	1	0	0	0	0	0	0	0	0	0	0
agm	1	0	0	0	0	0	0	0	0	0	0
agn	1	0	0	0	0	0	0	0	0	0	0
agr	1	0	0	0	0	0	0	0	0	0	0
agt	1	0	0	0	0	0	0	0	0	0	0
agu	1	0	0	0	0	0	0	0	0	0	0
aia	1	0	0	0	0	0	0	0	0	0	0
aii	1	0	0	0	0	0	0	0	0	0	0
ajp	1	1	1	0	0	0	0	0	0	0	0
aka	2	1	1	0	0	0	0	0	0	0	0
ake	1	0	0	0	0	0	0	0	0	0	0
alp	1	0	0	0	0	0	0	0	0	0	0
alq	1	0	0	0	0	0	0	0	0	0	0
als	2	1	1	0	0	0	0	1	0	0	0
aly	1	0	0	0	0	0	0	0	0	0	0
ame	1	0	0	0	0	0	0	0	0	0	0
amf	1	0	0	0	0	0	0	0	0	0	0
amh	3	6	3	0	0	0	0	1	1	0	0
amk	1	0	0	0	0	0	0	0	0	0	0
amm	1	0	0	0	0	0	0	0	0	0	0
amn	1	0	0	0	0	0	0	0	0	0	0
amo	1	0	0	0	0	0	0	0	0	0	0
amp	1	0	0	0	0	0	0	0	0	0	0
amr	1	0	0	0	0	0	0	0	0	0	0
amu	1	0	0	0	0	0	0	0	0	0	0
amx	1	0	0	0	0	0	0	0	0	0	0
ang	1	0	0	0	0	0	0	0	0	0	0
anh	1	0	0	0	0	0	0	0	0	0	0
anp	0	1	0	0	0	0	0	0	0	0	0
anv	1	0	0	0	0	0	0	0	0	0	0
aoi	1	0	0	0	0	0	0	0	0	0	0
aoj	1	0	0	0	0	0	0	0	0	0	0
aom	1	0	0	0	0	0	0	0	0	0	0
aon	1	0	0	0	0	0	0	0	0	0	0
apb	1	0	0	0	0	0	0	0	0	0	0
apc	1	1	1	0	0	0	0	1	0	0	0
ape	1	0	0	0	0	0	0	0	0	0	0
apn	1	0	0	0	0	0	0	0	0	0	0
apr	1	0	0	0	0	0	0	0	0	0	0
apu	1	0	0	0	0	0	0	0	0	0	0
apw	1	0	0	0	0	0	0	0	0	0	0
apz	1	0	0	0	0	0	0	0	0	0	0
ara	2	12	0	0	0	2	1	9	2	0	0
arb	3	1	1	0	0	0	0	2	1	0	0
are	1	0	0	0	0	0	0	0	0	0	0
arl	1	0	0	0	0	0	0	0	0	0	0
arn	1	0	0	0	0	0	0	0	0	0	0
arp	1	0	0	0	0	0	0	0	0	0	0
arq	1	2	0	0	0	0	0	0	1	0	0
ars	1	1	1	0	0	0	0	1	0	0	0
ary	1	3	1	0	0	0	0	1	1	0	0
arz	2	1	1	0	0	0	0	1	0	0	0
asm	5	3	2	0	0	1	0	2	1	0	0
aso	1	0	0	0	0	0	0	0	0	0	0
ast	2	1	1	0	0	0	0	0	0	0	0
ata	1	0	0	0	0	0	0	0	0	0	0
atb	1	0	0	0	0	0	0	0	0	0	0
atd	1	0	0	0	0	0	0	0	0	0	0
atg	1	0	0	0	0	0	0	0	0	0	0
att	1	0	0	0	0	0	0	0	0	0	0
auc	1	0	0	0	0	0	0	0	0	0	0
aui	1	0	0	0	0	0	0	0	0	0	0
auy	1	0	0	0	0	0	0	0	0	0	0
avt	1	0	0	0	0	0	0	0	0	0	0
awa	3	2	1	0	0	0	0	0	0	0	0
awb	1	0	0	0	0	0	0	0	0	0	0
awk	1	0	0	0	0	0	0	0	0	0	0
awx	1	0	0	0	0	0	0	0	0	0	0
ayr	1	1	1	0	0	0	0	0	0	0	0
azb	2	1	1	0	0	0	0	0	0	0	0
aze	2	2	0	0	0	0	0	0	0	0	0
azg	1	0	0	0	0	0	0	0	0	0	0
azj	1	1	1	0	0	0	0	1	0	0	0
azz	1	0	0	0	0	0	0	0	0	0	0
bak	2	3	1	0	0	0	0	0	0	0	0
bam	1	2	1	0	0	0	0	1	0	0	0
ban	2	2	1	0	0	0	0	0	0	0	0
bao	1	0	0	0	0	0	0	0	0	0	0
bba	1	0	0	0	0	0	0	0	0	0	0
bbb	1	0	0	0	0	0	0	0	0	0	0
bbc	2	3	0	0	0	0	0	0	0	0	0
bbr	1	0	0	0	0	0	0	0	0	0	0
bch	1	0	0	0	0	0	0	0	0	0	0
bco	1	0	0	0	0	0	0	0	0	0	0
bdd	1	0	0	0	0	0	0	0	0	0	0
bea	1	0	0	0	0	0	0	0	0	0	0
bef	1	0	0	0	0	0	0	0	0	0	0
bel	4	1	1	0	0	0	0	0	0	0	0
bem	2	1	1	0	0	0	0	0	0	0	0
ben	7	9	2	0	0	1	2	6	1	0	0
beo	1	0	0	0	0	0	0	0	0	0	0
ber	1	0	0	0	0	0	0	0	0	0	0
beu	1	0	0	0	0	0	0	0	0	0	0
bew	1	2	0	0	0	0	0	0	0	0	0
bgc	1	1	0	0	0	0	0	0	0	0	0
bgs	1	0	0	0	0	0	0	0	0	0	0
bgt	1	0	0	0	0	0	0	0	0	0	0
bhb	0	1	0	0	0	0	0	0	0	0	0
bhd	0	1	0	0	0	0	0	0	0	0	0
bhg	1	0	0	0	0	0	0	0	0	0	0
bhl	1	0	0	0	0	0	0	0	0	0	0
bho	2	2	1	0	0	1	0	0	0	0	0
bhp	1	0	0	0	0	0	0	0	0	0	0
big	1	0	0	0	0	0	0	0	0	0	0
bjj	0	1	0	0	0	0	0	0	0	0	0
bjk	1	0	0	0	0	0	0	0	0	0	0
bjn	2	2	1	0	0	0	0	0	0	0	0
bjp	1	0	0	0	0	0	0	0	0	0	0
bjr	1	0	0	0	0	0	0	0	0	0	0
bjv	1	0	0	0	0	0	0	0	0	0	0
bjz	1	0	0	0	0	0	0	0	0	0	0
bkd	1	0	0	0	0	0	0	0	0	0	0
bki	1	0	0	0	0	0	0	0	0	0	0
bkq	1	0	0	0	0	0	0	0	0	0	0
bkx	1	0	0	0	0	0	0	0	0	0	0
blw	1	0	0	0	0	0	0	0	0	0	0
blz	1	0	0	0	0	0	0	0	0	0	0
bmh	1	0	0	0	0	0	0	0	0	0	0
bmk	1	0	0	0	0	0	0	0	0	0	0
bmr	1	0	0	0	0	0	0	0	0	0	0
bmu	1	0	0	0	0	0	0	0	0	0	0
bnp	1	0	0	0	0	0	0	0	0	0	0
bns	0	1	0	0	0	0	0	0	0	0	0
boa	1	0	0	0	0	0	0	0	0	0	0
bod	3	1	1	0	0	0	0	1	0	0	0
boj	1	0	0	0	0	0	0	0	0	0	0
bon	1	0	0	0	0	0	0	0	0	0	0
bos	3	1	2	0	0	0	0	0	0	0	0
box	1	0	0	0	0	0	0	0	0	0	0
boy	1	0	0	0	0	0	0	0	0	0	0
bpr	1	0	0	0	0	0	0	0	0	0	0
bps	1	0	0	0	0	0	0	0	0	0	0
bqc	1	0	0	0	0	0	0	0	0	0	0
bqp	1	0	0	0	0	0	0	0	0	0	0
bra	0	1	0	0	0	0	0	0	0	0	0
bre	2	0	0	0	0	0	0	0	0	0	0
brx	2	2	1	0	0	0	0	0	0	0	0
bsj	1	0	0	0	0	0	0	0	0	0	0
bsn	1	0	0	0	0	0	0	0	0	0	0
bsp	1	0	0	0	0	0	0	0	0	0	0
bss	1	0	0	0	0	0	0	0	0	0	0
bug	2	4	1	0	0	0	0	0	0	0	0
buk	1	0	0	0	0	0	0	0	0	0	0
bul	3	4	1	0	1	1	1	2	0	0	0
bus	1	0	0	0	0	0	0	0	0	0	0
bvd	1	0	0	0	0	0	0	0	0	0	0
bvr	1	0	0	0	0	0	0	0	0	0	0
bxh	1	0	0	0	0	0	0	0	0	0	0
byr	1	0	0	0	0	0	0	0	0	0	0
byx	1	0	0	0	0	0	0	0	0	0	0
bzd	1	0	0	0	0	0	0	0	0	0	0
bzh	1	0	0	0	0	0	0	0	0	0	0
bzj	1	0	0	0	0	0	0	0	0	0	0
caa	1	0	0	0	0	0	0	0	0	0	0
cab	1	0	0	0	0	0	0	0	0	0	0
cac	1	0	0	0	0	0	0	0	0	0	0
caf	1	0	0	0	0	0	0	0	0	0	0
cak	1	0	0	0	0	0	0	0	0	0	0
cao	1	0	0	0	0	0	0	0	0	0	0
cap	1	0	0	0	0	0	0	0	0	0	0
car	1	0	0	0	0	0	0	0	0	0	0
cat	3	2	2	0	0	0	0	1	0	0	0
cav	1	0	0	0	0	0	0	0	0	0	0
cax	1	0	0	0	0	0	0	0	0	0	0
cbc	1	0	0	0	0	0	0	0	0	0	0
cbi	1	0	0	0	0	0	0	0	0	0	0
cbk	2	0	0	0	0	0	0	0	0	0	0
cbr	1	0	0	0	0	0	0	0	0	0	0
cbs	1	0	0	0	0	0	0	0	0	0	0
cbt	1	0	0	0	0	0	0	0	0	0	0
cbu	1	0	0	0	0	0	0	0	0	0	0
cbv	1	0	0	0	0	0	0	0	0	0	0
cco	1	0	0	0	0	0	0	0	0	0	0
ceb	3	1	1	0	0	0	0	1	0	0	0
cek	1	0	0	0	0	0	0	0	0	0	0
ces	4	5	2	0	1	1	1	2	0	0	0
cgc	1	0	0	0	0	0	0	0	0	0	0
cha	2	0	0	0	0	0	0	0	0	0	0
chd	1	0	0	0	0	0	0	0	0	0	0
chf	1	0	0	0	0	0	0	0	0	0	0
chk	1	0	0	0	0	0	0	0	0	0	0
chq	1	0	0	0	0	0	0	0	0	0	0
chv	0	1	0	0	0	0	0	0	0	0	0
chz	1	0	0	0	0	0	0	0	0	0	0
cjk	1	1	1	0	0	0	0	0	0	0	0
cjo	1	0	0	0	0	0	0	0	0	0	0
cjv	1	0	0	0	0	0	0	0	0	0	0
ckb	3	1	1	0	0	0	0	1	0	0	0
cle	1	0	0	0	0	0	0	0	0	0	0
clu	1	0	0	0	0	0	0	0	0	0	0
cme	1	0	0	0	0	0	0	0	0	0	0
cmn	4	10	4	0	0	3	4	10	9	0	0
cmo	0	2	0	0	0	0	0	0	0	0	0
cni	1	0	0	0	0	0	0	0	0	0	0
cnl	1	0	0	0	0	0	0	0	0	0	0
cnt	1	0	0	0	0	0	0	0	0	0	0
code	0	0	0	0	0	0	0	37	0	0	0
cof	1	0	0	0	0	0	0	0	0	0	0
con	1	0	0	0	0	0	0	0	0	0	0
cop	1	0	0	0	0	0	0	0	0	0	0
cor	1	0	0	0	0	0	0	0	0	0	0
cot	1	0	0	0	0	0	0	0	0	0	0
cpa	1	0	0	0	0	0	0	0	0	0	0
cpb	1	0	0	0	0	0	0	0	0	0	0
cpc	1	0	0	0	0	0	0	0	0	0	0
cpu	1	0	0	0	0	0	0	0	0	0	0
cpy	1	0	0	0	0	0	0	0	0	0	0
crh	1	1	1	0	0	0	0	0	0	0	0
crn	1	0	0	0	0	0	0	0	0	0	0
crx	1	0	0	0	0	0	0	0	0	0	0
csb	1	0	0	0	0	0	0	0	0	0	0
cso	1	0	0	0	0	0	0	0	0	0	0
csy	1	0	0	0	0	0	0	0	0	0	0
cta	1	0	0	0	0	0	0	0	0	0	0
cth	1	0	0	0	0	0	0	0	0	0	0
ctp	1	0	0	0	0	0	0	0	0	0	0
ctu	1	0	0	0	0	0	0	0	0	0	0
cub	1	0	0	0	0	0	0	0	0	0	0
cuc	1	0	0	0	0	0	0	0	0	0	0
cui	1	0	0	0	0	0	0	0	0	0	0
cuk	1	0	0	0	0	0	0	0	0	0	0
cut	1	0	0	0	0	0	0	0	0	0	0
cux	1	0	0	0	0	0	0	0	0	0	0
cwe	1	0	0	0	0	0	0	0	0	0	0
cya	1	0	0	0	0	0	0	0	0	0	0
cym	3	4	1	0	0	0	0	0	0	0	0
daa	1	0	0	0	0	0	0	0	0	0	0
dad	1	0	0	0	0	0	0	0	0	0	0
dah	1	0	0	0	0	0	0	0	0	0	0
dan	5	9	2	0	1	0	1	5	0	0	0
ded	1	0	0	0	0	0	0	0	0	0	0
deu	6	14	7	0	1	6	2	18	4	0	0
dgc	1	0	0	0	0	0	0	0	0	0	0
dgr	1	0	0	0	0	0	0	0	0	0	0
dgz	1	0	0	0	0	0	0	0	0	0	0
dhg	1	0	0	0	0	0	0	0	0	0	0
dif	1	0	0	0	0	0	0	0	0	0	0
dik	2	1	1	0	0	0	0	0	0	0	0
div	1	0	0	0	0	0	0	0	0	0	0
dji	1	0	0	0	0	0	0	0	0	0	0
djk	1	0	0	0	0	0	0	0	0	0	0
djr	1	0	0	0	0	0	0	0	0	0	0
dob	1	0	0	0	0	0	0	0	0	0	0
doi	2	1	0	0	0	0	0	0	0	0	0
dop	1	0	0	0	0	0	0	0	0	0	0
dov	1	0	0	0	0	0	0	0	0	0	0
dsb	1	0	0	0	0	0	0	0	0	0	0
dtp	1	0	0	0	0	0	0	0	0	0	0
dwr	1	0	0	0	0	0	0	0	0	0	0
dww	1	0	0	0	0	0	0	0	0	0	0
dwy	1	0	0	0	0	0	0	0	0	0	0
dyu	1	1	1	0	0	0	0	0	0	0	0
dza	0	1	0	0	0	0	0	0	0	0	0
dzo	2	1	1	0	0	0	0	0	0	0	0
ebk	1	0	0	0	0	0	0	0	0	0	0
eko	1	0	0	0	0	0	0	0	0	0	0
ell	3	6	1	0	1	2	0	3	0	0	0
emi	1	0	0	0	0	0	0	0	0	0	0
emp	1	0	0	0	0	0	0	0	0	0	0
eng	16	143	16	3	1	8	8	91	13	2	1
enq	1	0	0	0	0	0	0	0	0	0	0
epo	3	1	1	0	0	0	0	0	0	0	0
eri	1	0	0	0	0	0	0	0	0	0	0
ese	1	0	0	0	0	0	0	0	0	0	0
esk	1	0	0	0	0	0	0	0	0	0	0
est	2	2	1	0	1	0	0	2	0	0	0
etr	1	0	0	0	0	0	0	0	0	0	0
eus	3	2	2	0	0	0	0	1	0	0	0
ewe	3	1	1	0	0	0	0	0	0	0	0
faa	1	0	0	0	0	0	0	0	0	0	0
fai	1	0	0	0	0	0	0	0	0	0	0
fao	3	2	1	0	0	0	0	0	1	0	0
far	1	0	0	0	0	0	0	0	0	0	0
fas	1	4	0	0	0	1	2	9	0	0	0
ffm	1	0	0	0	0	0	0	0	0	0	0
fij	2	1	1	0	0	0	0	0	0	0	0
fil	1	2	0	0	0	0	0	0	0	0	0
fin	3	5	1	0	1	1	2	5	1	0	0
fon	1	1	1	0	0	0	0	0	0	0	0
for	1	0	0	0	0	0	0	0	0	0	0
fra	7	13	8	0	1	5	3	14	4	0	1
fry	1	0	0	0	0	0	0	0	0	0	0
fuc	1	0	0	0	0	0	0	0	0	0	0
fue	1	0	0	0	0	0	0	0	0	0	0
fuf	1	0	0	0	0	0	0	0	0	0	0
fuh	1	0	0	0	0	0	0	0	0	0	0
fur	1	1	1	0	0	0	0	0	0	0	0
fuv	1	1	1	0	0	0	0	1	0	0	0
gah	1	0	0	0	0	0	0	0	0	0	0
gai	1	0	0	0	0	0	0	0	0	0	0
gam	1	0	0	0	0	0	0	0	0	0	0
gaw	1	0	0	0	0	0	0	0	0	0	0
gaz	1	1	1	0	0	0	0	1	0	0	0
gbm	1	1	0	0	0	0	0	0	0	0	0
gdn	1	0	0	0	0	0	0	0	0	0	0
gdr	1	0	0	0	0	0	0	0	0	0	0
geb	1	0	0	0	0	0	0	0	0	0	0
gfk	1	0	0	0	0	0	0	0	0	0	0
ghs	1	0	0	0	0	0	0	0	0	0	0
gla	2	1	1	0	0	0	0	0	0	0	0
gle	3	1	1	0	0	0	0	0	0	0	0
glg	3	1	1	0	0	0	0	0	0	0	0
glk	1	0	0	0	0	0	0	0	0	0	0
glv	0	0	1	0	0	0	0	0	0	0	0
gmv	1	0	0	0	0	0	0	0	0	0	0
gng	1	0	0	0	0	0	0	0	0	0	0
gnn	1	0	0	0	0	0	0	0	0	0	0
gnw	1	0	0	0	0	0	0	0	0	0	0
gof	1	0	0	0	0	0	0	0	0	0	0
gom	3	1	0	0	0	0	0	0	0	0	0
grc	1	0	0	0	0	0	0	0	0	0	0
grn	1	1	1	0	0	0	0	1	0	0	0
gsw	1	0	0	0	0	0	0	0	0	0	0
gub	1	0	0	0	0	0	0	0	0	0	0
guh	1	0	0	0	0	0	0	0	0	0	0
gui	1	0	0	0	0	0	0	0	0	0	0
guj	6	6	2	0	0	1	0	2	1	0	0
gul	1	0	0	0	0	0	0	0	0	0	0
gum	1	0	0	0	0	0	0	0	0	0	0
gun	1	0	0	0	0	0	0	0	0	0	0
guo	1	0	0	0	0	0	0	0	0	0	0
gup	1	0	0	0	0	0	0	0	0	0	0
gux	1	0	0	0	0	0	0	0	0	0	0
gvc	1	0	0	0	0	0	0	0	0	0	0
gvf	1	0	0	0	0	0	0	0	0	0	0
gvn	1	0	0	0	0	0	0	0	0	0	0
gvs	1	0	0	0	0	0	0	0	0	0	0
gwi	1	0	0	0	0	0	0	0	0	0	0
gym	1	0	0	0	0	0	0	0	0	0	0
gyr	1	0	0	0	0	0	0	0	0	0	0
hat	2	1	1	0	0	0	0	1	0	0	0
hau	4	5	3	0	0	0	0	1	1	0	0
haw	1	0	0	0	0	0	0	0	0	0	0
hbo	1	0	0	0	0	0	0	0	0	0	0
hch	1	0	0	0	0	0	0	0	0	0	0
heb	4	5	1	0	0	0	0	1	0	0	0
heg	1	0	0	0	0	0	0	0	0	0	0
hin	9	12	2	0	0	1	2	10	2	0	0
hix	1	0	0	0	0	0	0	0	0	0	0
hla	1	0	0	0	0	0	0	0	0	0	0
hlt	1	0	0	0	0	0	0	0	0	0	0
hmn	1	0	0	0	0	0	0	0	0	0	0
hmo	1	0	0	0	0	0	0	0	0	0	0
hne	2	2	1	0	0	0	0	0	0	0	0
hns	1	0	0	0	0	0	0	0	0	0	0
hop	1	0	0	0	0	0	0	0	0	0	0
hot	1	0	0	0	0	0	0	0	0	0	0
hrv	4	3	1	0	1	0	0	1	0	0	0
hsb	1	0	0	0	0	0	0	0	0	0	0
hto	1	0	0	0	0	0	0	0	0	0	0
hub	1	0	0	0	0	0	0	0	0	0	0
hui	1	0	0	0	0	0	0	0	0	0	0
hun	5	3	1	0	1	0	0	2	0	0	0
hus	1	0	0	0	0	0	0	0	0	0	0
huu	1	0	0	0	0	0	0	0	0	0	0
huv	1	0	0	0	0	0	0	0	0	0	0
hvn	1	0	0	0	0	0	0	0	0	0	0
hye	3	3	1	0	0	1	0	1	0	0	0
ian	1	0	0	0	0	0	0	0	0	0	0
ibo	3	5	3	0	0	0	0	1	0	0	0
ido	1	0	0	0	0	0	0	0	0	0	0
ign	1	0	0	0	0	0	0	0	0	0	0
ikk	1	0	0	0	0	0	0	0	0	0	0
ikw	1	0	0	0	0	0	0	0	0	0	0
ile	1	0	0	0	0	0	0	0	0	0	0
ilo	2	1	2	0	0	0	0	1	0	0	0
imo	1	0	0	0	0	0	0	0	0	0	0
ina	1	0	0	0	0	0	0	0	0	0	0
inb	1	0	0	0	0	0	0	0	0	0	0
ind	6	7	1	0	0	1	1	4	1	0	0
ino	1	0	0	0	0	0	0	0	0	0	0
iou	1	0	0	0	0	0	0	0	0	0	0
ipi	1	0	0	0	0	0	0	0	0	0	0
isl	3	4	1	0	0	0	0	1	0	0	0
isn	1	0	0	0	0	0	0	0	0	0	0
ita	5	9	1	0	1	2	1	5	3	0	0
iws	1	0	0	0	0	0	0	0	0	0	0
ixl	1	0	0	0	0	0	0	0	0	0	0
jac	1	0	0	0	0	0	0	0	0	0	0
jae	1	0	0	0	0	0	0	0	0	0	0
jao	1	0	0	0	0	0	0	0	0	0	0
jav	4	7	1	0	0	0	0	1	0	0	0
jic	1	0	0	0	0	0	0	0	0	0	0
jid	1	0	0	0	0	0	0	0	0	0	0
jiv	1	0	0	0	0	0	0	0	0	0	0
jni	1	0	0	0	0	0	0	0	0	0	0
jpn	5	8	3	0	0	1	3	13	2	0	0
jvn	1	0	0	0	0	0	0	0	0	0	0
kab	2	1	1	0	0	0	0	0	0	0	0
kac	1	1	1	0	0	0	0	1	0	0	0
kam	1	1	1	0	0	0	0	0	0	0	0
kan	6	7	2	0	0	1	0	2	1	0	0
kaq	1	0	0	0	0	0	0	0	0	0	0
kas	3	2	1	0	0	0	0	0	0	0	0
kat	4	3	1	0	0	0	0	2	0	0	0
kaz	3	3	1	0	0	0	0	1	0	0	0
kbc	1	0	0	0	0	0	0	0	0	0	0
kbh	1	0	0	0	0	0	0	0	0	0	0
kbm	1	0	0	0	0	0	0	0	0	0	0
kbp	1	1	1	0	0	0	0	0	0	0	0
kbq	1	0	0	0	0	0	0	0	0	0	0
kdc	1	0	0	0	0	0	0	0	0	0	0
kde	1	0	0	0	0	0	0	0	0	0	0
kdl	1	0	0	0	0	0	0	0	0	0	0
kea	1	1	1	0	0	0	0	1	0	0	0
kek	1	0	0	0	0	0	0	0	0	0	0
ken	1	0	0	0	0	0	0	0	0	0	0
kew	1	0	0	0	0	0	0	0	0	0	0
kfg	0	1	0	0	0	0	0	0	0	0	0
kfy	0	1	0	0	0	0	0	0	0	0	0
kgf	1	0	0	0	0	0	0	0	0	0	0
kgk	1	0	0	0	0	0	0	0	0	0	0
kgp	1	0	0	0	0	0	0	0	0	0	0
khk	1	1	1	0	0	0	0	1	0	0	0
khm	3	3	1	0	0	0	0	1	0	0	0
khs	1	0	0	0	0	0	0	0	0	0	0
khz	1	0	0	0	0	0	0	0	0	0	0
kik	2	1	1	0	0	0	0	0	0	0	0
kin	2	3	1	0	0	0	0	1	1	0	0
kir	2	3	1	0	0	0	0	1	0	0	0
kiw	1	0	0	0	0	0	0	0	0	0	0
kiz	1	0	0	0	0	0	0	0	0	0	0
kje	1	0	0	0	0	0	0	0	0	0	0
kjs	1	0	0	0	0	0	0	0	0	0	0
kkc	1	0	0	0	0	0	0	0	0	0	0
kkl	1	0	0	0	0	0	0	0	0	0	0
klt	1	0	0	0	0	0	0	0	0	0	0
klv	1	0	0	0	0	0	0	0	0	0	0
kmb	1	1	1	0	0	0	0	0	0	0	0
kmg	1	0	0	0	0	0	0	0	0	0	0
kmh	1	0	0	0	0	0	0	0	0	0	0
kmk	1	0	0	0	0	0	0	0	0	0	0
kmo	1	0	0	0	0	0	0	0	0	0	0
kmr	2	1	1	0	0	0	0	0	0	0	0
kms	1	0	0	0	0	0	0	0	0	0	0
kmu	1	0	0	0	0	0	0	0	0	0	0
knc	1	1	1	0	0	0	0	0	0	0	0
kne	1	0	0	0	0	0	0	0	0	0	0
knf	1	0	0	0	0	0	0	0	0	0	0
knj	1	0	0	0	0	0	0	0	0	0	0
knv	1	0	0	0	0	0	0	0	0	0	0
kon	1	1	1	0	0	0	0	0	0	0	0
kor	4	8	1	0	1	2	1	9	3	0	0
kos	1	0	0	0	0	0	0	0	0	0	0
kpf	1	0	0	0	0	0	0	0	0	0	0
kpg	1	0	0	0	0	0	0	0	0	0	0
kpj	1	0	0	0	0	0	0	0	0	0	0
kpr	1	0	0	0	0	0	0	0	0	0	0
kpw	1	0	0	0	0	0	0	0	0	0	0
kpx	1	0	0	0	0	0	0	0	0	0	0
kqa	1	0	0	0	0	0	0	0	0	0	0
kqc	1	0	0	0	0	0	0	0	0	0	0
kqf	1	0	0	0	0	0	0	0	0	0	0
kql	1	0	0	0	0	0	0	0	0	0	0
kqw	1	0	0	0	0	0	0	0	0	0	0
krc	0	1	0	0	0	0	0	0	0	0	0
ksd	1	0	0	0	0	0	0	0	0	0	0
ksj	1	0	0	0	0	0	0	0	0	0	0
ksr	1	0	0	0	0	0	0	0	0	0	0
ktm	1	0	0	0	0	0	0	0	0	0	0
kto	1	0	0	0	0	0	0	0	0	0	0
kud	1	0	0	0	0	0	0	0	0	0	0
kue	1	0	0	0	0	0	0	0	0	0	0
kup	1	0	0	0	0	0	0	0	0	0	0
kur	1	1	1	0	0	0	0	0	0	0	0
kvg	1	0	0	0	0	0	0	0	0	0	0
kvn	1	0	0	0	0	0	0	0	0	0	0
kwd	1	0	0	0	0	0	0	0	0	0	0
kwf	1	0	0	0	0	0	0	0	0	0	0
kwi	1	0	0	0	0	0	0	0	0	0	0
kwj	1	0	0	0	0	0	0	0	0	0	0
kyc	1	0	0	0	0	0	0	0	0	0	0
kyf	1	0	0	0	0	0	0	0	0	0	0
kyg	1	0	0	0	0	0	0	0	0	0	0
kyq	1	0	0	0	0	0	0	0	0	0	0
kyz	1	0	0	0	0	0	0	0	0	0	0
kze	1	0	0	0	0	0	0	0	0	0	0
kzj	1	0	0	0	0	0	0	0	0	0	0
lac	1	0	0	0	0	0	0	0	0	0	0
lao	2	1	1	0	0	0	0	1	0	0	0
lat	2	0	0	0	0	0	0	0	0	0	0
lav	1	2	1	0	1	0	0	0	0	0	0
lbb	1	0	0	0	0	0	0	0	0	0	0
lbk	1	0	0	0	0	0	0	0	0	0	0
lcm	1	0	0	0	0	0	0	0	0	0	0
leu	1	0	0	0	0	0	0	0	0	0	0
lex	1	0	0	0	0	0	0	0	0	0	0
lfn	1	0	0	0	0	0	0	0	0	0	0
lgl	1	0	0	0	0	0	0	0	0	0	0
lid	1	0	0	0	0	0	0	0	0	0	0
lif	1	0	0	0	0	0	0	0	0	0	0
lij	1	1	1	0	0	0	0	0	0	0	0
lim	1	1	1	0	0	0	0	0	0	0	0
lin	2	2	3	0	0	0	0	1	0	0	0
lit	4	1	1	0	1	0	0	1	0	0	0
llg	1	0	0	0	0	0	0	0	0	0	0
lmo	1	1	1	0	0	0	0	0	0	0	0
ltg	1	1	1	0	0	0	0	0	0	0	0
ltz	2	1	1	0	0	0	0	0	0	0	0
lua	1	1	1	0	0	0	0	0	0	0	0
lug	2	2	3	0	0	0	0	1	0	0	0
luo	2	1	1	0	0	0	0	1	0	0	0
lus	1	1	1	0	0	0	0	0	0	0	0
lvs	2	1	1	0	0	0	0	1	0	0	0
lww	1	0	0	0	0	0	0	0	0	0	0
maa	1	0	0	0	0	0	0	0	0	0	0
mad	2	3	0	0	0	0	0	0	0	0	0
mag	1	2	1	0	0	0	0	0	0	0	0
mai	4	2	1	0	0	0	0	0	0	0	0
maj	1	0	0	0	0	0	0	0	0	0	0
mak	1	2	0	0	0	0	0	0	0	0	0
mal	7	7	2	0	0	0	0	2	1	0	0
mam	1	0	0	0	0	0	0	0	0	0	0
maq	1	0	0	0	0	0	0	0	0	0	0
mar	7	6	2	0	0	1	0	2	2	0	0
mau	1	0	0	0	0	0	0	0	0	0	0
mav	1	0	0	0	0	0	0	0	0	0	0
max	1	0	0	0	0	0	0	0	0	0	0
maz	1	0	0	0	0	0	0	0	0	0	0
mbb	1	0	0	0	0	0	0	0	0	0	0
mbc	1	0	0	0	0	0	0	0	0	0	0
mbh	1	0	0	0	0	0	0	0	0	0	0
mbj	1	0	0	0	0	0	0	0	0	0	0
mbl	1	0	0	0	0	0	0	0	0	0	0
mbs	1	0	0	0	0	0	0	0	0	0	0
mbt	1	0	0	0	0	0	0	0	0	0	0
mca	1	0	0	0	0	0	0	0	0	0	0
mcb	1	0	0	0	0	0	0	0	0	0	0
mcd	1	0	0	0	0	0	0	0	0	0	0
mcf	1	0	0	0	0	0	0	0	0	0	0
mco	1	0	0	0	0	0	0	0	0	0	0
mcp	1	0	0	0	0	0	0	0	0	0	0
mcq	1	0	0	0	0	0	0	0	0	0	0
mcr	1	0	0	0	0	0	0	0	0	0	0
mdy	1	0	0	0	0	0	0	0	0	0	0
med	1	0	0	0	0	0	0	0	0	0	0
mee	1	0	0	0	0	0	0	0	0	0	0
mek	1	0	0	0	0	0	0	0	0	0	0
meq	1	0	0	0	0	0	0	0	0	0	0
met	1	0	0	0	0	0	0	0	0	0	0
meu	1	0	0	0	0	0	0	0	0	0	0
mey	1	0	0	0	0	0	0	0	0	0	0
mgc	1	0	0	0	0	0	0	0	0	0	0
mgh	1	0	0	0	0	0	0	0	0	0	0
mgw	1	0	0	0	0	0	0	0	0	0	0
mhl	1	0	0	0	0	0	0	0	0	0	0
mhr	1	0	0	0	0	0	0	0	0	0	0
mib	1	0	0	0	0	0	0	0	0	0	0
mic	1	0	0	0	0	0	0	0	0	0	0
mie	1	0	0	0	0	0	0	0	0	0	0
mig	1	0	0	0	0	0	0	0	0	0	0
mih	1	0	0	0	0	0	0	0	0	0	0
mil	1	0	0	0	0	0	0	0	0	0	0
min	3	4	2	0	0	0	0	0	0	0	0
mio	1	0	0	0	0	0	0	0	0	0	0
mir	1	0	0	0	0	0	0	0	0	0	0
mit	1	0	0	0	0	0	0	0	0	0	0
miz	1	0	0	0	0	0	0	0	0	0	0
mjc	1	0	0	0	0	0	0	0	0	0	0
mkd	3	2	1	0	0	0	0	1	0	0	0
mkj	1	0	0	0	0	0	0	0	0	0	0
mkl	1	0	0	0	0	0	0	0	0	0	0
mkn	1	0	0	0	0	0	0	0	0	0	0
mks	1	0	0	0	0	0	0	0	0	0	0
mle	1	0	0	0	0	0	0	0	0	0	0
mlg	1	0	0	0	0	0	0	0	0	0	0
mlh	1	0	0	0	0	0	0	0	0	0	0
mlp	1	0	0	0	0	0	0	0	0	0	0
mlt	2	2	2	0	2	0	0	1	0	0	0
mmo	1	0	0	0	0	0	0	0	0	0	0
mmx	1	0	0	0	0	0	0	0	0	0	0
mna	1	0	0	0	0	0	0	0	0	0	0
mni	4	2	1	0	0	0	0	0	0	0	0
mon	2	2	0	0	0	0	0	0	0	0	0
mop	1	0	0	0	0	0	0	0	0	0	0
mos	1	1	1	0	0	0	0	0	0	0	0
mox	1	0	0	0	0	0	0	0	0	0	0
mph	1	0	0	0	0	0	0	0	0	0	0
mpj	1	0	0	0	0	0	0	0	0	0	0
mpm	1	0	0	0	0	0	0	0	0	0	0
mpp	1	0	0	0	0	0	0	0	0	0	0
mps	1	0	0	0	0	0	0	0	0	0	0
mpt	1	0	0	0	0	0	0	0	0	0	0
mpx	1	0	0	0	0	0	0	0	0	0	0
mqb	1	0	0	0	0	0	0	0	0	0	0
mqj	1	0	0	0	0	0	0	0	0	0	0
mri	2	1	1	0	0	0	0	1	0	0	0
msa	1	2	0	0	0	0	0	0	0	0	0
msb	1	0	0	0	0	0	0	0	0	0	0
msc	1	0	0	0	0	0	0	0	0	0	0
msk	1	0	0	0	0	0	0	0	0	0	0
msm	1	0	0	0	0	0	0	0	0	0	0
msy	1	0	0	0	0	0	0	0	0	0	0
mti	1	0	0	0	0	0	0	0	0	0	0
mto	1	0	0	0	0	0	0	0	0	0	0
mui	1	2	0	0	0	0	0	0	0	0	0
mup	1	1	0	0	0	0	0	0	0	0	0
mux	1	0	0	0	0	0	0	0	0	0	0
muy	1	0	0	0	0	0	0	0	0	0	0
mva	1	0	0	0	0	0	0	0	0	0	0
mvn	1	0	0	0	0	0	0	0	0	0	0
mwc	1	0	0	0	0	0	0	0	0	0	0
mwe	1	0	0	0	0	0	0	0	0	0	0
mwf	1	0	0	0	0	0	0	0	0	0	0
mwp	1	0	0	0	0	0	0	0	0	0	0
mwr	1	0	0	0	0	0	0	0	0	0	0
mxb	1	0	0	0	0	0	0	0	0	0	0
mxp	1	0	0	0	0	0	0	0	0	0	0
mxq	1	0	0	0	0	0	0	0	0	0	0
mxt	1	0	0	0	0	0	0	0	0	0	0
mya	3	4	1	0	0	0	0	1	0	0	0
myk	1	0	0	0	0	0	0	0	0	0	0
myu	1	0	0	0	0	0	0	0	0	0	0
myw	1	0	0	0	0	0	0	0	0	0	0
myy	1	0	0	0	0	0	0	0	0	0	0
mzz	1	0	0	0	0	0	0	0	0	0	0
nab	1	0	0	0	0	0	0	0	0	0	0
naf	1	0	0	0	0	0	0	0	0	0	0
nak	1	0	0	0	0	0	0	0	0	0	0
nas	1	0	0	0	0	0	0	0	0	0	0
nbl	0	1	0	0	0	0	0	0	0	0	0
nbq	1	0	0	0	0	0	0	0	0	0	0
nca	1	0	0	0	0	0	0	0	0	0	0
nch	1	0	0	0	0	0	0	0	0	0	0
ncj	1	0	0	0	0	0	0	0	0	0	0
ncl	1	0	0	0	0	0	0	0	0	0	0
ncu	1	0	0	0	0	0	0	0	0	0	0
nde	1	0	0	0	0	0	0	0	0	0	0
ndg	1	0	0	0	0	0	0	0	0	0	0
ndj	1	0	0	0	0	0	0	0	0	0	0
nds	1	0	0	0	0	0	0	0	0	0	0
nep	2	1	0	0	0	0	0	0	0	0	0
nfa	1	0	0	0	0	0	0	0	0	0	0
ngp	1	0	0	0	0	0	0	0	0	0	0
ngu	1	0	0	0	0	0	0	0	0	0	0
nhe	1	0	0	0	0	0	0	0	0	0	0
nhg	1	0	0	0	0	0	0	0	0	0	0
nhi	1	0	0	0	0	0	0	0	0	0	0
nho	1	0	0	0	0	0	0	0	0	0	0
nhr	1	0	0	0	0	0	0	0	0	0	0
nhu	1	0	0	0	0	0	0	0	0	0	0
nhw	1	0	0	0	0	0	0	0	0	0	0
nhy	1	0	0	0	0	0	0	0	0	0	0
nif	1	0	0	0	0	0	0	0	0	0	0
nii	1	0	0	0	0	0	0	0	0	0	0
nij	1	1	0	0	0	0	0	0	0	0	0
nin	1	0	0	0	0	0	0	0	0	0	0
nko	1	0	0	0	0	0	0	0	0	0	0
nld	6	6	1	0	1	0	1	2	2	0	0
nlg	1	0	0	0	0	0	0	0	0	0	0
nna	1	0	0	0	0	0	0	0	0	0	0
nno	4	3	1	0	0	0	0	0	0	0	0
nnq	1	0	0	0	0	0	0	0	0	0	0
noa	1	0	0	0	0	0	0	0	0	0	0
nob	4	7	5	0	0	0	0	3	0	0	0
noe	0	1	0	0	0	0	0	0	0	0	0
nop	1	0	0	0	0	0	0	0	0	0	0
nor	0	1	0	0	0	0	1	1	0	0	0
not	1	0	0	0	0	0	0	0	0	0	0
nou	1	0	0	0	0	0	0	0	0	0	0
nov	1	0	0	0	0	0	0	0	0	0	0
npi	4	2	1	0	0	0	0	1	0	0	0
npl	1	0	0	0	0	0	0	0	0	0	0
nqo	0	1	1	0	0	0	0	0	0	0	0
nsn	1	0	0	0	0	0	0	0	0	0	0
nso	2	2	1	0	0	0	0	1	0	0	0
nss	1	0	0	0	0	0	0	0	0	0	0
ntj	1	0	0	0	0	0	0	0	0	0	0
ntp	1	0	0	0	0	0	0	0	0	0	0
ntu	1	0	0	0	0	0	0	0	0	0	0
nus	1	1	1	0	0	0	0	0	0	0	0
nuy	1	0	0	0	0	0	0	0	0	0	0
nvm	1	0	0	0	0	0	0	0	0	0	0
nwi	1	0	0	0	0	0	0	0	0	0	0
nya	3	1	1	0	0	0	0	1	0	0	0
nys	1	0	0	0	0	0	0	0	0	0	0
nyu	1	0	0	0	0	0	0	0	0	0	0
obo	1	0	0	0	0	0	0	0	0	0	0
oci	2	1	1	0	0	0	0	0	0	0	0
okv	1	0	0	0	0	0	0	0	0	0	0
omw	1	0	0	0	0	0	0	0	0	0	0
ong	1	0	0	0	0	0	0	0	0	0	0
ons	1	0	0	0	0	0	0	0	0	0	0
ood	1	0	0	0	0	0	0	0	0	0	0
opm	1	0	0	0	0	0	0	0	0	0	0
ori	0	1	0	0	0	0	0	0	0	0	0
orm	1	1	2	0	0	0	0	0	0	0	0
orv	1	0	0	0	0	0	0	0	0	0	0
ory	5	4	2	0	0	1	0	2	1	0	0
ote	1	0	0	0	0	0	0	0	0	0	0
otm	1	0	0	0	0	0	0	0	0	0	0
otn	1	0	0	0	0	0	0	0	0	0	0
otq	1	0	0	0	0	0	0	0	0	0	0
ots	1	0	0	0	0	0	0	0	0	0	0
pab	1	0	0	0	0	0	0	0	0	0	0
pad	1	0	0	0	0	0	0	0	0	0	0
pag	1	1	1	0	0	0	0	0	0	0	0
pah	1	0	0	0	0	0	0	0	0	0	0
pam	1	0	0	0	0	0	0	0	0	0	0
pan	6	6	2	0	0	1	0	2	1	0	0
pao	1	0	0	0	0	0	0	0	0	0	0
pap	1	1	1	0	0	0	0	0	0	0	0
pbt	1	1	1	0	0	0	0	1	0	0	0
pcm	1	4	2	0	0	0	0	0	0	0	0
pes	3	1	1	0	0	0	0	1	0	0	0
pib	1	0	0	0	0	0	0	0	0	0	0
pio	1	0	0	0	0	0	0	0	0	0	0
pir	1	0	0	0	0	0	0	0	0	0	0
piu	1	0	0	0	0	0	0	0	0	0	0
pjt	1	0	0	0	0	0	0	0	0	0	0
pls	1	0	0	0	0	0	0	0	0	0	0
plt	1	1	1	0	0	0	0	1	0	0	0
plu	1	0	0	0	0	0	0	0	0	0	0
pma	1	0	0	0	0	0	0	0	0	0	0
pms	1	0	0	0	0	0	0	0	0	0	0
poe	1	0	0	0	0	0	0	0	0	0	0
poh	1	0	0	0	0	0	0	0	0	0	0
poi	1	0	0	0	0	0	0	0	0	0	0
pol	4	11	4	0	1	4	0	18	4	0	0
pon	1	0	0	0	0	0	0	0	0	0	0
por	4	9	1	0	2	2	1	5	3	0	0
poy	1	0	0	0	0	0	0	0	0	0	0
ppo	1	0	0	0	0	0	0	0	0	0	0
prf	1	0	0	0	0	0	0	0	0	0	0
pri	1	0	0	0	0	0	0	0	0	0	0
prs	2	1	1	0	0	0	0	0	0	0	0
ptp	1	0	0	0	0	0	0	0	0	0	0
ptu	1	0	0	0	0	0	0	0	0	0	0
pus	2	0	0	0	0	0	0	0	0	0	0
pwg	1	0	0	0	0	0	0	0	0	0	0
qub	1	0	0	0	0	0	0	0	0	0	0
quc	1	0	0	0	0	0	0	0	0	0	0
quf	1	0	0	0	0	0	0	0	0	0	0
quh	1	0	0	0	0	0	0	0	0	0	0
qul	1	0	0	0	0	0	0	0	0	0	0
qup	1	0	0	0	0	0	0	0	0	0	0
quy	1	1	1	0	0	0	0	0	0	0	0
qvc	1	0	0	0	0	0	0	0	0	0	0
qve	1	0	0	0	0	0	0	0	0	0	0
qvh	1	0	0	0	0	0	0	0	0	0	0
qvm	1	0	0	0	0	0	0	0	0	0	0
qvn	1	0	0	0	0	0	0	0	0	0	0
qvs	1	0	0	0	0	0	0	0	0	0	0
qvw	1	0	0	0	0	0	0	0	0	0	0
qvz	1	0	0	0	0	0	0	0	0	0	0
qwh	1	0	0	0	0	0	0	0	0	0	0
qxh	1	0	0	0	0	0	0	0	0	0	0
qxn	1	0	0	0	0	0	0	0	0	0	0
qxo	1	0	0	0	0	0	0	0	0	0	0
rai	1	0	0	0	0	0	0	0	0	0	0
raj	1	1	0	0	0	0	0	0	0	0	0
reg	1	0	0	0	0	0	0	0	0	0	0
rej	1	2	0	0	0	0	0	0	0	0	0
rgu	1	0	0	0	0	0	0	0	0	0	0
rkb	1	0	0	0	0	0	0	0	0	0	0
rmc	1	0	0	0	0	0	0	0	0	0	0
rmy	1	0	0	0	0	0	0	0	0	0	0
rom	1	0	1	0	0	0	0	0	0	0	0
ron	5	6	1	0	1	0	1	3	1	0	0
roo	1	0	0	0	0	0	0	0	0	0	0
rop	1	0	0	0	0	0	0	0	0	0	0
row	1	0	0	0	0	0	0	0	0	0	0
rro	1	0	0	0	0	0	0	0	0	0	0
ruf	1	0	0	0	0	0	0	0	0	0	0
rug	1	0	0	0	0	0	0	0	0	0	0
run	1	2	3	0	0	0	0	0	0	0	0
rus	5	13	6	0	2	4	2	16	4	0	0
rwo	1	0	0	0	0	0	0	0	0	0	0
sab	1	0	0	0	0	0	0	0	0	0	0
sag	1	1	1	0	0	0	0	0	0	0	0
sah	0	1	0	0	0	0	0	0	0	0	0
san	5	3	1	0	0	1	0	0	0	0	0
sat	4	2	1	0	0	0	0	0	0	0	0
sbe	1	0	0	0	0	0	0	0	0	0	0
sbk	1	0	0	0	0	0	0	0	0	0	0
sbs	1	0	0	0	0	0	0	0	0	0	0
scn	1	1	1	0	0	0	0	0	0	0	0
sco	0	0	1	0	0	0	0	0	0	0	0
seh	1	0	0	0	0	0	0	0	0	0	0
sey	1	0	0	0	0	0	0	0	0	0	0
sgb	1	0	0	0	0	0	0	0	0	0	0
sgz	1	0	0	0	0	0	0	0	0	0	0
shi	1	0	0	0	0	0	0	0	0	0	0
shj	1	0	0	0	0	0	0	0	0	0	0
shn	1	1	1	0	0	0	0	1	0	0	0
shp	1	0	0	0	0	0	0	0	0	0	0
sim	1	0	0	0	0	0	0	0	0	0	0
sin	2	3	1	0	0	0	0	1	0	0	0
sja	1	0	0	0	0	0	0	0	0	0	0
slk	3	4	1	0	1	0	0	3	0	0	0
sll	1	0	0	0	0	0	0	0	0	0	0
slv	3	4	1	0	1	0	0	1	0	0	0
smk	1	0	0	0	0	0	0	0	0	0	0
smo	2	1	1	0	0	0	0	0	0	0	0
sna	2	2	3	0	0	0	0	1	0	0	0
snc	1	0	0	0	0	0	0	0	0	0	0
snd	4	2	1	0	0	0	0	1	0	0	0
snn	1	0	0	0	0	0	0	0	0	0	0
snp	1	0	0	0	0	0	0	0	0	0	0
snx	1	0	0	0	0	0	0	0	0	0	0
sny	1	0	0	0	0	0	0	0	0	0	0
som	3	2	3	0	0	0	0	1	0	0	0
soq	1	0	0	0	0	0	0	0	0	0	0
sot	1	2	1	0	0	0	0	1	0	0	0
soy	1	0	0	0	0	0	0	0	0	0	0
spa	4	13	4	0	1	2	2	12	4	0	0
spl	1	0	0	0	0	0	0	0	0	0	0
spm	1	0	0	0	0	0	0	0	0	0	0
spp	1	0	0	0	0	0	0	0	0	0	0
sps	1	0	0	0	0	0	0	0	0	0	0
spy	1	0	0	0	0	0	0	0	0	0	0
sqi	2	2	1	0	0	0	0	0	0	0	0
srd	1	1	1	0	0	0	0	0	0	0	0
sri	1	0	0	0	0	0	0	0	0	0	0
srm	1	0	0	0	0	0	0	0	0	0	0
srn	2	0	0	0	0	0	0	0	0	0	0
srp	4	1	1	0	0	0	1	2	0	0	0
srq	1	0	0	0	0	0	0	0	0	0	0
ssd	1	0	0	0	0	0	0	0	0	0	0
ssg	1	0	0	0	0	0	0	0	0	0	0
ssw	2	3	1	0	0	0	0	1	0	0	0
ssx	1	0	0	0	0	0	0	0	0	0	0
stp	1	0	0	0	0	0	0	0	0	0	0
sua	1	0	0	0	0	0	0	0	0	0	0
sue	1	0	0	0	0	0	0	0	0	0	0
sun	3	4	1	0	0	0	0	1	0	0	0
sus	1	0	0	0	0	0	0	0	0	0	0
suz	1	0	0	0	0	0	0	0	0	0	0
svk	0	1	0	0	0	0	0	0	0	0	0
swa	1	7	2	0	0	1	1	3	0	0	0
swe	4	8	3	0	1	1	1	4	0	0	0
swg	1	0	0	0	0	0	0	0	0	0	0
swh	3	1	1	0	0	0	0	1	0	0	0
swp	1	0	0	0	0	0	0	0	0	0	0
sxb	1	0	0	0	0	0	0	0	0	0	0
szl	1	1	1	0	0	0	0	0	0	0	0
tac	1	0	0	0	0	0	0	0	0	0	0
tah	1	0	0	0	0	0	0	0	0	0	0
taj	1	0	0	0	0	0	0	0	0	0	0
tam	7	7	2	0	0	1	0	3	1	0	0
taq	1	1	1	0	0	0	0	0	0	0	0
tat	3	2	1	0	0	0	0	0	0	0	0
tav	1	0	0	0	0	0	0	0	0	0	0
taw	1	0	0	0	0	0	0	0	0	0	0
tbc	1	0	0	0	0	0	0	0	0	0	0
tbf	1	0	0	0	0	0	0	0	0	0	0
tbg	1	0	0	0	0	0	0	0	0	0	0
tbo	1	0	0	0	0	0	0	0	0	0	0
tbz	1	0	0	0	0	0	0	0	0	0	0
tca	1	0	0	0	0	0	0	0	0	0	0
tcs	1	0	0	0	0	0	0	0	0	0	0
tcz	1	0	0	0	0	0	0	0	0	0	0
tdt	1	0	0	0	0	0	0	0	0	0	0
tee	1	0	0	0	0	0	0	0	0	0	0
tel	7	7	2	0	0	0	1	5	2	0	0
ter	1	0	0	0	0	0	0	0	0	0	0
tet	1	0	0	0	0	0	0	0	0	0	0
tew	1	0	0	0	0	0	0	0	0	0	0
tfr	1	0	0	0	0	0	0	0	0	0	0
tgk	3	1	1	0	0	0	0	1	0	0	0
tgl	3	3	1	0	0	0	0	1	0	0	0
tgo	1	0	0	0	0	0	0	0	0	0	0
tgp	1	0	0	0	0	0	0	0	0	0	0
tha	4	8	1	0	0	1	1	6	0	0	0
tif	1	0	0	0	0	0	0	0	0	0	0
tim	1	0	0	0	0	0	0	0	0	0	0
tir	2	2	3	0	0	0	0	1	0	0	0
tiw	1	0	0	0	0	0	0	0	0	0	0
tiy	1	0	0	0	0	0	0	0	0	0	0
tke	1	0	0	0	0	0	0	0	0	0	0
tku	1	0	0	0	0	0	0	0	0	0	0
tlf	1	0	0	0	0	0	0	0	0	0	0
tmd	1	0	0	0	0	0	0	0	0	0	0
tna	1	0	0	0	0	0	0	0	0	0	0
tnc	1	0	0	0	0	0	0	0	0	0	0
tnk	1	0	0	0	0	0	0	0	0	0	0
tnn	1	0	0	0	0	0	0	0	0	0	0
tnp	1	0	0	0	0	0	0	0	0	0	0
toc	1	0	0	0	0	0	0	0	0	0	0
tod	1	0	0	0	0	0	0	0	0	0	0
tof	1	0	0	0	0	0	0	0	0	0	0
toj	1	0	0	0	0	0	0	0	0	0	0
ton	2	0	0	0	0	0	0	0	0	0	0
too	1	0	0	0	0	0	0	0	0	0	0
top	1	0	0	0	0	0	0	0	0	0	0
tos	1	0	0	0	0	0	0	0	0	0	0
tpa	1	0	0	0	0	0	0	0	0	0	0
tpi	2	1	1	0	0	0	0	0	0	0	0
tpt	1	0	0	0	0	0	0	0	0	0	0
tpz	1	0	0	0	0	0	0	0	0	0	0
trc	1	0	0	0	0	0	0	0	0	0	0
tsn	2	3	1	0	0	0	0	1	0	0	0
tso	1	4	1	0	0	0	0	1	0	0	0
tsw	1	0	0	0	0	0	0	0	0	0	0
ttc	1	0	0	0	0	0	0	0	0	0	0
tte	1	0	0	0	0	0	0	0	0	0	0
tuc	1	0	0	0	0	0	0	0	0	0	0
tue	1	0	0	0	0	0	0	0	0	0	0
tuf	1	0	0	0	0	0	0	0	0	0	0
tuk	3	1	1	0	0	0	0	0	0	0	0
tum	1	1	1	0	0	0	0	0	0	0	0
tuo	1	0	0	0	0	0	0	0	0	0	0
tur	4	7	1	0	0	2	0	3	2	0	0
tvk	1	0	0	0	0	0	0	0	0	0	0
twi	2	3	1	0	0	0	0	0	0	0	0
txq	1	0	0	0	0	0	0	0	0	0	0
txu	1	0	0	0	0	0	0	0	0	0	0
tyv	0	1	0	0	0	0	0	0	0	0	0
tzj	1	0	0	0	0	0	0	0	0	0	0
tzl	1	0	0	0	0	0	0	0	0	0	0
tzm	1	1	1	0	0	0	0	0	0	0	0
tzo	1	0	0	0	0	0	0	0	0	0	0
ubr	1	0	0	0	0	0	0	0	0	0	0
ubu	1	0	0	0	0	0	0	0	0	0	0
udu	1	0	0	0	0	0	0	0	0	0	0
uig	4	2	1	0	0	0	0	0	0	0	0
ukr	4	2	1	0	0	0	0	1	0	0	0
uli	1	0	0	0	0	0	0	0	0	0	0
ulk	1	0	0	0	0	0	0	0	0	0	0
umb	1	1	1	0	0	0	0	0	0	0	0
upv	1	0	0	0	0	0	0	0	0	0	0
ura	1	0	0	0	0	0	0	0	0	0	0
urb	1	0	0	0	0	0	0	0	0	0	0
urd	7	8	2	0	0	0	0	1	1	0	0
uri	1	0	0	0	0	0	0	0	0	0	0
urt	1	0	0	0	0	0	0	0	0	0	0
urw	1	0	0	0	0	0	0	0	0	0	0
usa	1	0	0	0	0	0	0	0	0	0	0
usp	1	0	0	0	0	0	0	0	0	0	0
uvh	1	0	0	0	0	0	0	0	0	0	0
uvl	1	0	0	0	0	0	0	0	0	0	0
uzb	2	0	0	0	0	0	0	0	0	0	0
uzn	1	1	1	0	0	0	0	1	0	0	0
vec	1	1	1	0	0	0	0	0	0	0	0
ven	1	1	0	0	0	0	0	0	0	0	0
vid	1	0	0	0	0	0	0	0	0	0	0
vie	5	6	1	0	0	1	0	5	0	0	0
viv	1	0	0	0	0	0	0	0	0	0	0
vmy	1	0	0	0	0	0	0	0	0	0	0
waj	1	0	0	0	0	0	0	0	0	0	0
wal	1	0	0	0	0	0	0	0	0	0	0
wap	1	0	0	0	0	0	0	0	0	0	0
war	2	1	1	0	0	0	0	1	0	0	0
wat	1	0	0	0	0	0	0	0	0	0	0
wbi	1	0	0	0	0	0	0	0	0	0	0
wbp	1	0	0	0	0	0	0	0	0	0	0
wed	1	0	0	0	0	0	0	0	0	0	0
wer	1	0	0	0	0	0	0	0	0	0	0
wim	1	0	0	0	0	0	0	0	0	0	0
wiu	1	0	0	0	0	0	0	0	0	0	0
wiv	1	0	0	0	0	0	0	0	0	0	0
wln	0	0	1	0	0	0	0	0	0	0	0
wmt	1	0	0	0	0	0	0	0	0	0	0
wmw	1	0	0	0	0	0	0	0	0	0	0
wnc	1	0	0	0	0	0	0	0	0	0	0
wnu	1	0	0	0	0	0	0	0	0	0	0
wol	3	1	1	0	0	0	0	1	0	0	0
wos	1	0	0	0	0	0	0	0	0	0	0
wrk	1	0	0	0	0	0	0	0	0	0	0
wro	1	0	0	0	0	0	0	0	0	0	0
wrs	1	0	0	0	0	0	0	0	0	0	0
wsk	1	0	0	0	0	0	0	0	0	0	0
wuu	1	0	0	0	0	0	0	0	0	0	0
wuv	1	0	0	0	0	0	0	0	0	0	0
xav	1	0	0	0	0	0	0	0	0	0	0
xbi	1	0	0	0	0	0	0	0	0	0	0
xed	1	0	0	0	0	0	0	0	0	0	0
xho	3	3	3	0	0	0	0	1	0	0	0
xla	1	0	0	0	0	0	0	0	0	0	0
xnn	1	0	0	0	0	0	0	0	0	0	0
xon	1	0	0	0	0	0	0	0	0	0	0
xsi	1	0	0	0	0	0	0	0	0	0	0
xtd	1	0	0	0	0	0	0	0	0	0	0
xtm	1	0	0	0	0	0	0	0	0	0	0
yaa	1	0	0	0	0	0	0	0	0	0	0
yad	1	0	0	0	0	0	0	0	0	0	0
yal	1	0	0	0	0	0	0	0	0	0	0
yap	1	0	0	0	0	0	0	0	0	0	0
yaq	1	0	0	0	0	0	0	0	0	0	0
yby	1	0	0	0	0	0	0	0	0	0	0
ycn	1	0	0	0	0	0	0	0	0	0	0
ydd	1	1	1	0	0	0	0	0	0	0	0
yid	1	0	0	0	0	0	0	0	0	0	0
yka	1	0	0	0	0	0	0	0	0	0	0
yle	1	0	0	0	0	0	0	0	0	0	0
yml	1	0	0	0	0	0	0	0	0	0	0
yon	1	0	0	0	0	0	0	0	0	0	0
yor	4	5	3	0	0	0	1	3	0	0	0
yrb	1	0	0	0	0	0	0	0	0	0	0
yre	1	0	0	0	0	0	0	0	0	0	0
yss	1	0	0	0	0	0	0	0	0	0	0
yue	3	2	1	0	0	0	0	0	0	0	0
yuj	1	0	0	0	0	0	0	0	0	0	0
yut	1	0	0	0	0	0	0	0	0	0	0
yuw	1	0	0	0	0	0	0	0	0	0	0
yva	1	0	0	0	0	0	0	0	0	0	0
zaa	1	0	0	0	0	0	0	0	0	0	0
zab	1	0	0	0	0	0	0	0	0	0	0
zac	1	0	0	0	0	0	0	0	0	0	0
zad	1	0	0	0	0	0	0	0	0	0	0
zai	1	0	0	0	0	0	0	0	0	0	0
zaj	1	0	0	0	0	0	0	0	0	0	0
zam	1	0	0	0	0	0	0	0	0	0	0
zao	1	0	0	0	0	0	0	0	0	0	0
zap	1	0	0	0	0	0	0	0	0	0	0
zar	1	0	0	0	0	0	0	0	0	0	0
zas	1	0	0	0	0	0	0	0	0	0	0
zat	1	0	0	0	0	0	0	0	0	0	0
zav	1	0	0	0	0	0	0	0	0	0	0
zaw	1	0	0	0	0	0	0	0	0	0	0
zca	1	0	0	0	0	0	0	0	0	0	0
zga	1	0	0	0	0	0	0	0	0	0	0
zho	2	2	1	0	0	1	1	13	0	0	0
zia	1	0	0	0	0	0	0	0	0	0	0
ziw	1	0	0	0	0	0	0	0	0	0	0
zlm	1	0	0	0	0	0	0	0	0	0	0
zos	1	0	0	0	0	0	0	0	0	0	0
zpc	1	0	0	0	0	0	0	0	0	0	0
zpl	1	0	0	0	0	0	0	0	0	0	0
zpm	1	0	0	0	0	0	0	0	0	0	0
zpo	1	0	0	0	0	0	0	0	0	0	0
zpq	1	0	0	0	0	0	0	0	0	0	0
zpu	1	0	0	0	0	0	0	0	0	0	0
zpv	1	0	0	0	0	0	0	0	0	0	0
zpz	1	0	0	0	0	0	0	0	0	0	0
zsm	2	1	1	0	0	0	0	1	0	0	0
zsr	1	0	0	0	0	0	0	0	0	0	0
ztq	1	0	0	0	0	0	0	0	0	0	0
zty	1	0	0	0	0	0	0	0	0	0	0
zul	2	3	1	0	0	0	0	1	0	0	0
zyp	1	0	0	0	0	0	0	0	0	0	0
Total	1394	795	304	3	28	67	50	457	85	2	2