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GECCC Grammar Error Correction Corpus for Czech (2022-09-28)

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Náplava, Jakub; Straka, Milan; Straková, Jana and Rosen, Alexandr, 2022, GECCC Grammar Error Correction Corpus for Czech (2022-09-28), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-4861.
Date issued
2022-01-17
Size
83058 sentences,
24 files
Language(s)
Description
Grammar Error Correction Corpus for Czech (GECCC) consists of 83 058 sentences and covers four diverse domains, including essays written by native students, informal website texts, essays written by Romani ethnic minority children and teenagers and essays written by nonnative speakers. All domains are professionally annotated for GEC errors in a unified manner, and errors were automatically categorized with a Czech-specific version of ERRANT released at https://github.com/ufal/errant_czech The dataset was introduced in the paper Czech Grammar Error Correction with a Large and Diverse Corpus that was accepted to TACL. Until published in TACL, see the arXiv version: https://arxiv.org/pdf/2201.05590.pdf This version fixes double annotation errors in train and dev M2 files, and also contains more metadata information.
Acknowledgement

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2022-01-17 00:00:00
2022-01-17 00:00:00
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 Files in this item
Name
geccc.zip
Size
14.81 MB
Format
application/zip
Description
Zip
MD5
f5ee8a933ffeea6358505787303ab187
Preview
  File Preview
  • data
    • meta.tsv950 kB
    • dev
      • paragraph.m21 MB
      • paragraph.meta81 kB
      • sentence.meta191 kB
      • sentence.input523 kB
      • paragraph.gold817 kB
      • sentence.m22 MB
      • sentence.gold823 kB
      • paragraph.input518 kB
    • train
      • paragraph.m212 MB
      • paragraph.meta460 kB
      • sentence.meta1 MB
      • sentence.input3 MB
      • paragraph.gold4 MB
      • sentence.m213 MB
      • sentence.gold4 MB
      • paragraph.input3 MB
    • test
      • paragraph.m22 MB
      • paragraph.meta70 kB
      • sentence.meta170 kB
      • sentence.input506 kB
      • paragraph.gold1009 kB
      • sentence.m22 MB
      • sentence.gold1009 kB
      • paragraph.input507 kB
    • detokenizer.perl12 kB
    • LICENSE19 kB
    • README.md3 kB