MadvaAparna/KannadaVibhaktiSamples

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This is a dataset for the Named Entity Recognition (NER) task in Kannada language. Each instance represents one of the vibhakti cases.

Dataset Details

Dataset Description

Kannada language supports eight (grammatical) cases [Refer https://kannadakalike.org/grammar/cases]. The cases are called vibhakti and corresponding suffixes, pratyaya. Noun words are inflected with the suffix corresponding to these cases to create another grammatically meaningful word.

In this dataset, 12 sentences are composed for each case, thus resulting in a total of 96 sentences. Each sentence contains at least one word representing any named entity which is inflected with the suffix for the corresponding case. We include examples for PER, LOC and ORG class of entities. For PER class, we also include entities which span across multiple words such as caMdragupta maurya. This vibhakti dataset can be used to analyse how the presence of case specific suffixes in a named entity affects the prediction by the model.

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Uses

Dataset can be used in case of the NER task.

Dataset Structure

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Source Data

Manually created

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