Datasets:
nkasmanoff
/
huggingface-datasets

Dataset card Data Studio Files Community
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5.93k
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1.14M
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1.79k
tomekkorbak/pile-curse-chunk-27
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-12
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-25
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-19
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-23
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-29
false
[]
null
0
0
tomekkorbak/pile-curse-chunk-28
false
[]
null
0
0
tomekkorbak/pile-curse-full
false
[]
null
0
0
scjnugacj/scjn_dataset_ner
false
[ "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:original", "language:es", "license:cc-by-sa-4.0" ]
null
0
0
kingabzpro/savtadepth-flags-V2
false
[]
null
0
2
yhavinga/ccmatrix
false
[ "task_categories:text2text-generation", "task_categories:translation", "annotations_creators:found", "language_creators:found", "multilinguality:multilingual", "source_datasets:original", "language:af", "language:am", "language:ar", "language:ast", "language:az", "language:be", "language:bg", "language:bn", "language:br", "language:ca", "language:ceb", "language:cs", "language:cy", "language:da", "language:de", "language:el", "language:en", "language:eo", "language:es", "language:et", "language:eu", "language:fa", "language:fi", "language:fr", "language:fy", "language:ga", "language:gd", "language:gl", "language:ha", "language:he", "language:hi", "language:hr", "language:hu", "language:hy", "language:id", "language:ig", "language:ilo", "language:is", "language:it", "language:ja", "language:jv", "language:ka", "language:kk", "language:km", "language:ko", "language:la", "language:lb", "language:lg", "language:lt", "language:lv", "language:mg", "language:mk", "language:ml", "language:mr", "language:ms", "language:my", "language:ne", "language:nl", "language:no", "language:oc", "language:om", "language:or", "language:pl", "language:pt", "language:ro", "language:ru", "language:sd", "language:si", "language:sk", "language:sl", "language:so", "language:sq", "language:sr", "language:su", "language:sv", "language:sw", "language:ta", "language:tl", "language:tr", "language:tt", "language:uk", "language:ur", "language:uz", "language:vi", "language:wo", "language:xh", "language:yi", "language:yo", "language:zh", "language:zu", "language:se", "license:unknown", "conditional-text-generation", "arxiv:1911.04944", "arxiv:1911.00359", "arxiv:2010.11125" ]
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB We show that margin-based bitext mining in LASER's multilingual sentence space can be applied to monolingual corpora of billions of sentences to produce high quality aligned translation data. We use thirty-two snapshots of a curated common crawl corpus [1] totaling 69 billion unique sentences. Using one unified approach for 80 languages, we were able to mine 10.8 billion parallel sentences, out of which only 2.9 billion are aligned with English. IMPORTANT: Please cite reference [2][3] if you use this data. [1] Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Jouli and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data [2] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin, CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB [3] Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin. Beyond English-Centric Multilingual Machine Translation 90 languages, 1,197 bitexts total number of files: 90 total number of tokens: 112.14G total number of sentence fragments: 7.37G
355
8
JennyGub/PrivTest
false
[]
null
0
0
indonesian-nlp/lfqa_id
false
[]
null
0
1
artemis13fowl/sst-3
false
[]
null
0
0
IIC/spanish_biomedical_crawled_corpus
false
[ "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:IIC/spanish_biomedical_crawled_corpus", "language:es", "arxiv:2109.07765" ]
null
4
2
scjnugacj/scjn_dataset_corpus_tesis
false
[ "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:original", "language:es", "license:cc-by-sa-4.0" ]
null
0
0
hackathon-pln-es/MESD
false
[ "license:cc-by-4.0" ]
null
0
6
MatanBenChorin/our_dataset
false
[]
null
0
0
vinaykudari/acled-token-summary
false
[]
null
0
0
IIC/lfqa_spanish
false
[ "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:vblagoje/lfqa", "source_datasets:vblagoje/lfqa_support_docs", "language:es" ]
null
0
3
TomTBT/pmc_open_access_xml
false
[ "task_categories:text-classification", "task_categories:summarization", "task_categories:other", "annotations_creators:no-annotation", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en", "license:cc0-1.0", "license:cc-by-4.0", "license:cc-by-sa-4.0", "license:cc-by-nc-4.0", "license:cc-by-nd-4.0", "license:cc-by-nc-nd-4.0", "license:cc-by-nc-sa-4.0", "license:unknown", "license:other", "research papers", "biology", "medecine" ]
The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse. Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles in the PMC Open Access Subset are made available under Creative Commons or similar licenses that generally allow more liberal redistribution and reuse than a traditional copyrighted work. The PMC Open Access Subset is one part of the PMC Article Datasets This version takes XML version as source, benefiting from the structured text to split the articles in parts, naming the introduction, methods, results, discussion and conclusion, and refers with keywords in the text to external or internal resources (articles, figures, tables, formulas, boxed-text, quotes, code, footnotes, chemicals, graphics, medias).
6
0
Heriot-WattUniversity/CANDOR-corpus
false
[]
null
0
0
Heriot-WattUniversity/bAbi-Plus
false
[]
null
0
0
Heriot-WattUniversity/switchboard
false
[]
null
0
0
Heriot-WattUniversity/Groningen-Meaning-Bank
false
[]
null
0
0
enimai/MuST-C-fr
false
[ "task_categories:translation", "language:en", "language:fr", "license:apache-2.0" ]
null
0
0
voidful/asr_glue_train
false
[]
null
0
0
dannyvas23/textosuicidios
false
[ "license:afl-3.0" ]
null
0
0
abidlabs/Urdu-ASR-flags
false
[]
null
0
0
abidlabs/Urdu-ASR-flags2
false
[]
null
1
0
kingabzpro/Urdu-ASR-flags2
false
[]
null
0
0
dannyvas23/notas_suicidios
false
[ "license:afl-3.0" ]
null
1
1
Splend1dchan/phone-mnli
false
[]
null
0
0
nathanaelc/commonvoice8
false
[]
null
0
0
hazal/electronic-radiology-phd-thesis-trR
false
[ "language:tr" ]
null
0
2
jacobbieker/hyperion-clouds
false
[ "license:mit" ]
null
2
0
rubrix/frases_muchocine
false
[]
null
0
0
monash_tsf
false
[ "task_categories:time-series-forecasting", "task_ids:univariate-time-series-forecasting", "task_ids:multivariate-time-series-forecasting", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "license:cc-by-4.0" ]
Monash Time Series Forecasting Repository which contains 30+ datasets of related time series for global forecasting research. This repository includes both real-world and competition time series datasets covering varied domains.
2,043
6
kingabzpro/Urdu-ASR-flags
false
[]
null
0
0
xiongshunjie/ProDataset
false
[ "license:apache-2.0" ]
null
0
0
polinaeterna/audiofolder_zip_one_split
false
[]
null
0
0
eleldar/github-issues
false
[]
null
0
0
Cheltone/MyTwitter
false
[]
null
0
0
nielsr/CelebA-faces
false
[]
null
66
1
Dabs/bioasq
false
[]
null
0
2
blo05/cleaned_wiki_en
false
[]
null
7
0
CohleM/sample
false
[]
null
0
0
fangyuan/lfqa_discourse
false
[ "annotations_creators:crowdsourced", "annotations_creators:expert-generated", "language_creators:machine-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:extended|natural_questions", "source_datasets:extended|eli5", "language:en-US", "license:cc-by-sa-4.0", "arxiv:2203.11048" ]
LFQA discourse contains discourse annotations of long-form answers. - [VALIDITY]: Validity annotations of (question, answer) pairs. - [ROLE]: Role annotations of valid answer paragraphs.
2
1
rubrix/frases_muchocine_NER
false
[]
null
0
0
EALeon16/autonlp-data-pruebapoems
false
[ "task_categories:text-classification", "language:es" ]
null
0
0
hackathon-pln-es/comentarios_depresivos
false
[ "license:cc-by-sa-4.0" ]
null
14
4
hackathon-pln-es/poems-es
false
[ "license:wtfpl" ]
null
0
3
rubrix/muchocine_ner
false
[]
null
0
0
rubrix/pococine_textcat
false
[]
null
0
0
IIC/bioasq22_es
false
[ "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:Helsinki-NLP/opus-mt-en-es", "language:es" ]
null
0
2
rubrix/muchocine_aspects
false
[]
null
0
0
josearangos/spanish-calls-corpus-Home
false
[]
null
0
2
josearangos/spanish-calls-corpus-Caribbean
false
[]
null
0
0
josearangos/spanish-calls-corpus-Friends
false
[]
null
0
0
nedroden/nlcity
false
[ "license:cc" ]
null
0
0
rubrix/muchocine_aspectos
false
[]
null
0
0
archmagos/HourAI-data
false
[]
null
0
2
emrecan/nli_tr_for_simcse
false
[ "task_categories:text-classification", "task_ids:semantic-similarity-scoring", "task_ids:text-scoring", "size_categories:100K<n<1M", "source_datasets:nli_tr", "language:tr" ]
null
0
0
d0r1h/Real_vs_Fake
false
[ "license:afl-3.0" ]
null
0
0
Carlos89apc/TraductorES_Kichwa
false
[ "license:gpl" ]
null
0
0
sayalaruano/FakeNewsCorpusSpanish
false
[]
null
5
1
sayalaruano/FakeNewsSpanish_Kaggle1
false
[ "license:cc-by-nc-sa-4.0" ]
null
6
0
sayalaruano/FakeNewsSpanish_Kaggle2
false
[ "license:cc-by-nc-sa-4.0" ]
null
2
0
erikacardenas300/Zillow-Text-Listings
false
[]
null
0
2
jullarson/sdd
false
[ "license:apache-2.0" ]
null
0
0
rahulkuruvilla/CovidTravelQA
false
[]
null
0
0
nreimers/trec-covid
false
[]
null
44
0
Mnauel/MESD
false
[]
null
0
0
IsaacRodgz/Fake-news-latam-omdena
false
[]
null
0
0
sichenzhong/squad_v2_back_trans_aug
false
[]
null
4
0
sumedh/MeQSum
false
[ "license:apache-2.0" ]
null
3
0
nthngdy/oscar-small
false
[ "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:multilingual", "source_datasets:oscar", "language:af", "language:am", "language:ar", "language:arz", "language:as", "language:az", "language:azb", "language:ba", "language:be", "language:bg", "language:bn", "language:bo", "language:br", "language:ca", "language:ce", "language:ceb", "language:ckb", "language:cs", "language:cv", "language:cy", "language:da", "language:de", "language:dv", "language:el", "language:en", "language:eo", "language:es", "language:et", "language:eu", "language:fa", "language:fi", "language:fr", "language:fy", "language:ga", "language:gl", "language:gu", "language:he", "language:hi", "language:hr", "language:hu", "language:hy", "language:id", "language:is", "language:it", "language:ja", "language:ka", "language:kk", "language:km", "language:kn", "language:ko", "language:ku", "language:ky", "language:la", "language:lb", "language:lo", "language:lt", "language:lv", "language:mg", "language:mhr", "language:mk", "language:ml", "language:mn", "language:mr", "language:ms", "language:mt", "language:my", "language:nds", "language:ne", "language:nl", "language:nn", "language:no", "language:or", "language:os", "language:pa", "language:pl", "language:pnb", "language:ps", "language:pt", "language:ro", "language:ru", "language:sa", "language:sah", "language:sd", "language:sh", "language:si", "language:sk", "language:sl", "language:sq", "language:sr", "language:sv", "language:sw", "language:ta", "language:te", "language:tg", "language:th", "language:tk", "language:tl", "language:tr", "language:tt", "language:ug", "language:uk", "language:ur", "language:uz", "language:vi", "language:yi", "language:zh", "license:cc0-1.0", "arxiv:2010.14571" ]
The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.\
66
4
10zinten/op_classical_corpus_bo
false
[ "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:extended|other", "language:bo", "license:other" ]
null
0
0
CohleM/CohleM
false
[]
null
0
0
CohleM/Classification
false
[]
null
1
0
grabbysingh/funsd
false
[]
\ https://guillaumejaume.github.io/FUNSD/
0
0
nreimers/trec-covid-generated-queries
false
[]
null
20
0
peerapongch/aion-3-20220323
false
[]
null
0
0
tau/multi_news
false
[]
Multi-News, consists of news articles and human-written summaries of these articles from the site newser.com. Each summary is professionally written by editors and includes links to the original articles cited. There are two features: - document: text of news articles seperated by special token "|||||". - summary: news summary.
0
0
GEM-submissions/lewtun__this-is-a-test-name__1648048960
false
[ "benchmark:gem", "evaluation", "benchmark" ]
null
0
0
Rakesharma21/transliterate-eng-hi
false
[]
null
0
0
huggan/edges2shoes
false
[]
null
0
0
huggan/facades
false
[ "arxiv:1703.10593" ]
null
0
2
albertvillanova/zip_zip
false
[]
null
0
0
polinaeterna/test_encode_example
false
[]
null
0
0
huggan/night2day
false
[]
null
133
0
huggan/maps
false
[]
null
10
0
huggan/cityscapes
false
[ "arxiv:1703.10593" ]
null
30
0
huggan/ae_photos
false
[ "arxiv:1703.10593" ]
null
0
0
RUC-DataLab/ER-dataset
false
[]
null
0
0
doctorlan/bert-amz-c
false
[]
null
0
0
crystina-z/msmarco-passage-dl19
false
[]
null
0
0
crystina-z/msmarco-passage-dl20
false
[]
null
0
0
tiennvcs/your_dataset_name
false
[]
null
0
0
tartuNLP/liv4ever
false
[ "task_categories:text2text-generation", "task_categories:translation", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:translation", "size_categories:unknown", "source_datasets:original", "language:en", "language:liv", "license:cc-by-nc-sa-4.0", "conditional-text-generation" ]
Livonian is one of the most endangered languages in Europe with just a tiny handful of speakers and virtually no publicly available corpora. In this paper we tackle the task of developing neural machine translation (NMT) between Livonian and English, with a two-fold aim: on one hand, preserving the language and on the other – enabling access to Livonian folklore, lifestories and other textual intangible heritage as well as making it easier to create further parallel corpora. We rely on Livonian's linguistic similarity to Estonian and Latvian and collect parallel and monolingual data for the four languages for translation experiments. We combine different low-resource NMT techniques like zero-shot translation, cross-lingual transfer and synthetic data creation to reach the highest possible translation quality as well as to find which base languages are empirically more helpful for transfer to Livonian. The resulting NMT systems and the collected monolingual and parallel data, including a manually translated and verified translation benchmark, are publicly released. Fields: - source: source of the data - en: sentence in English - liv: sentence in Livonian
0
2