2026-10-13 https://api.researchdata.se/oai-pmh

oai:researchdata.se:doi-10-23695-zgkb-s720/0 2023-06-08 subject:ssif:10208 subject:ssif:102 subject:ssif:1 principal:slug:university-of-gothenburg

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.23695/ZGKB-S720 Swedish EAT: question classification Svensk EAT: frågeklassifikation https://ror.org/05qhvy459 Natural Language Processing Språkbehandling och datorlingvistik I. IDENTIFYING INFORMATION Title* Swedish EAT v1.0 Subtitle Created by* Jonatan Cerwall (jonatancerwall@gmail.com) Publisher(s)* Språkbanken Text Link(s) / permanent identifier(s)* License(s)* Abstract* This dataset is a translated version of the QAQC dataset (https://cogcomp.seas.upenn.edu/Data/QA/QC/) for expected-answer-type classification. Taxonomy is the Li and Roth Taxonomy, also from https://cogcomp.seas.upenn.edu/Data/QA/QC/. Funded by* Cite as Cerwall, J. (2021). What the BERT? Fine-tuning KB-BERT for Question Classification. Unpublished manuscript, School of Electrical Engineering and Computer Science, KTH. Related datasets II. USAGE Key applications Machine learning, EAT Classification Intended task(s)/usage(s) Evaluate models by standard classification Recommended evaluation measures Accuracy Dataset function(s) Testing Recommended split(s) Test only III. DATA Primary data* Text Language* Swedish Dataset in numbers* 5451 questions in training set, 500 in test set. Nature of the content* Open ended factoid questions. Format* Comma-separated, four columns: text -- the open ended factoid question verbose label -- both the coarse-grained label and the fine-grained label formatted as COARSE:fine coarse label -- coarse-grained label fine label -- fine-grained label Data source(s)* Translated from the QAQC dataset (https://cogcomp.seas.upenn.edu/Data/QA/QC/) Data collection method(s)* -- Data selection and filtering* -- Data preprocessing* -- Data labeling* -- Annotator characteristics IV. ETHICS AND CAVEATS Ethical considerations "Some outdated treatment of women (eg "Vilka är de sexigaste kvinnorna i världen?")" Things to watch out for V. ABOUT DOCUMENTATION Data last updated* 2021-07-27 Which changes have been made, compared to the previous version* First version Access to previous versions This document created* 2021-07-27 This document last updated* 2023-06-08 Where to look for further details Documentation template version* VI. OTHER Related projects References I. IDENTIFYING INFORMATION Title* Swedish EAT v1.0 Subtitle Created by* Jonatan Cerwall (jonatancerwall@gmail.com) Publisher(s)* Språkbanken Text Link(s) / permanent identifier(s)* License(s)* Abstract* This dataset is a translated version of the QAQC dataset (https://cogcomp.seas.upenn.edu/Data/QA/QC/) for expected-answer-type classification. Taxonomy is the Li and Roth Taxonomy, also from https://cogcomp.seas.upenn.edu/Data/QA/QC/. Funded by* Cite as Cerwall, J. (2021). What the BERT? Fine-tuning KB-BERT for Question Classification. Unpublished manuscript, School of Electrical Engineering and Computer Science, KTH. Related datasets II. USAGE Key applications Machine learning, EAT Classification Intended task(s)/usage(s) Evaluate models by standard classification Recommended evaluation measures Accuracy Dataset function(s) Testing Recommended split(s) Test only III. DATA Primary data* Text Language* Swedish Dataset in numbers* 5451 questions in training set, 500 in test set. Nature of the content* Open ended factoid questions. Format* Comma-separated, four columns: text -- the open ended factoid question verbose label -- both the coarse-grained label and the fine-grained label formatted as COARSE:fine coarse label -- coarse-grained label fine label -- fine-grained label Data source(s)* Translated from the QAQC dataset (https://cogcomp.seas.upenn.edu/Data/QA/QC/) Data collection method(s)* -- Data selection and filtering* -- Data preprocessing* -- Data labeling* -- Annotator characteristics IV. ETHICS AND CAVEATS Ethical considerations "Some outdated treatment of women (eg "Vilka är de sexigaste kvinnorna i världen?")" Things to watch out for V. ABOUT DOCUMENTATION Data last updated* 2021-07-27 Which changes have been made, compared to the previous version* First version Access to previous versions This document created* 2021-07-27 This document last updated* 2023-06-08 Where to look for further details Documentation template version* VI. OTHER Related projects References https://creativecommons.org/licenses/by/4.0/ University of Gothenburg Göteborgs universitet 2024-01-01T00:00:00Z swe