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Dataset Details
CoMI-LINGUA (COde-MIxing and LINGuistic Insights on Natural Hinglish Usage and Annotation) is a high-quality Hindi-English code-mixed dataset, manually annotated by three annotators. It serves as a benchmark for multilingual NLP models by covering multiple foundational tasks.
CoMI-LINGUA provides annotations for several key NLP tasks:
- Language Identification (LID): Token-wise classification of Hindi, English, and other linguistic units.
- Matrix Language Identification (MLI): Sentence-level annotation of the dominant language.
- Part-of-Speech (POS) Tagging: Syntactic categorization for linguistic analysis.
- Named Entity Recognition (NER): Identification of entities in Hinglish text.
- Translation: Parallel translation of sentences in Romanized Hindi and Devanagari Hindi and English languages.
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