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dc.contributor.author Barančíková, Petra
dc.contributor.author Bojar, Ondřej
dc.date.accessioned 2019-12-05T09:18:04Z
dc.date.available 2019-12-05T09:18:04Z
dc.date.issued 2019-12-03
dc.identifier.uri http://hdl.handle.net/11234/1-3123
dc.description COSTRA 1.0 is a dataset of Czech complex sentence transformations. The dataset is intended for the study of sentence-level embeddings beyond simple word alternations or standard paraphrasing. The dataset consist of 4,262 unique sentences with average length of 10 words, illustrating 15 types of modifications such as simplification, generalization, or formal and informal language variation. The hope is that with this dataset, we should be able to test semantic properties of sentence embeddings and perhaps even to find some topologically interesting “skeleton” in the sentence embedding space.
dc.language.iso ces
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation info:eu-repo/grantAgreement/EC/H2020/825303
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject sentences
dc.subject sentence embeddings
dc.subject paraphrases
dc.subject semantic relations
dc.title COSTRA 1.0: A Dataset of Complex Sentence Transformations
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Petra Barančíková barancikova@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
sponsor Czech Science Foundation 19-26934X Neural Representations in Multi-modal and Multi-lingual Modelling nationalFunds
sponsor European Union EC/H2020/825303 Bergamot - Browser-based Multilingual Translation euFunds info:eu-repo/grantAgreement/EC/H2020/825303
size.info 5544 sentences
files.size 119547
files.count 1


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  • costra_1.0.
    • round_2
      • annotations.tsv407 kB
      • source_sentences.tsv12 kB
    • round_1
      • annotations.tsv116 kB
      • source_sentences.tsv1 kB
    • README3 kB
    • .README.swp12 kB

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