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classla/COPA-SR_lat

COPA-SR_lat (The dataset uses latin script. For the original (cyrillic) version, see this dataset.) The COPA-SR dataset (Choice of plausible alternatives in Serbian) is a translation of the English COPA dataset by following the XCOPA dataset translation methodology , transliterated into Latin script. The dataset consists of 1,000 premises (My body cast a shadow over the grass), each given a question (What is the cause? / What happened as a result?), and two choices (The sun was… See the full description on the dataset page: https://huggingface.co/datasets/classla/COPA-SR_lat.

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COPA-SR_lat

(The dataset uses latin script. For the original (cyrillic) version, see this dataset.)

The COPA-SR dataset (Choice of plausible alternatives in Serbian) is a translation of the English COPA dataset by following the XCOPA dataset translation methodology , transliterated into Latin script.

The dataset consists of 1,000 premises (My body cast a shadow over the grass), each given a question (What is the cause? / What happened as a result?), and two choices (The sun was rising; The grass was cut), with a label encoding which of the choices is more plausible given the annotator or translator (The sun was rising).

The dataset follows the same format as the Croatian COPA-HR dataset and Macedonian COPA-MK dataset . It is split into training (400 instances), validation (100 instances) and test (500 instances) JSONL files.

Translation of the dataset was performed by the ReLDI Centre Belgrade .

Authors:

  • Ljubešić, Nikola
  • Starović, Mirjana
  • Kuzman, Taja
  • Samardžić, Tanja

Citation information

 @misc{11356/1708,
 title = {Choice of plausible alternatives dataset in Serbian {COPA}-{SR}},
 author = {Ljube{\v s}i{\'c}, Nikola and Starovi{\'c}, Mirjana and Kuzman, Taja and Samard{\v z}i{\'c}, Tanja},
 url = {http://hdl.handle.net/11356/1708},
 note = {Slovenian language resource repository {CLARIN}.{SI}},
 copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)},
 issn = {2820-4042},
 year = {2022} }