The IDK-MRC-NLI dataset is derived from the IDK-MRC question answering dataset, utilizing named entity recognition (NER), chunking tags, regex, and embedding similarity techniques to determine its contradiction sets. Collected through this process, the dataset comprises various columns beyond premise, hypothesis, and label, including properties aligned with NER and chunking tags. This dataset is designed to facilitate Natural Language Inference (NLI) tasks and contains information extracted from diverse sources to provide comprehensive coverage. Each data instance encapsulates premise, hypothesis, label, and additional properties pertinent to NLI evaluation.
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idk_mrc_nli/idk_mrc_nli.pyDataCatalogue: http://seacrowd.github.io/seacrowd-catalogue/card.html?idk_mrc_nli