Datasets:
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README.md
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---
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license: cc-by-sa-4.0
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language:
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- sr
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task_categories:
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- text-classification
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "train.lat.jsonl"
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- split: test
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path: "test.lat.jsonl"
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- split: dev
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path: "val.lat.jsonl"
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---
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# COPA_SR_lat
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The COPA-SR dataset (Choice of plausible alternatives in Serbian) is a translation of the [English COPA dataset ](https://people.ict.usc.edu/~gordon/copa.html) by following the [XCOPA dataset translation methodology ](https://arxiv.org/abs/2005.00333), transliterated into Latin script.
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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).
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The dataset follows the same format as the [Croatian COPA-HR dataset ](http://hdl.handle.net/11356/1404) and [Macedonian COPA-MK dataset ](http://hdl.handle.net/11356/1687). It is split into training (400 instances), validation (100 instances) and test (500 instances) JSONL files.
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Translation of the dataset was performed by the [ReLDI Centre Belgrade ](https://reldi.spur.uzh.ch/).
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