Create README.md

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- translation
+language:
+- hi
+- en
+tags:
+- code-mixing
+- Hinglish
+- expert-annotated
+- benchmark-dataset
+size_categories:
+- 1M<n<10M
+
+---
+
+## Dataset Details
+
+**CoMI-LINGUA** (**CO**de-**MI**xing and **LING**uistic Insights on Natural Hinglish **U**sage and **A**nnotation) 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.
+
+### Dataset Description
+
+- **Curated by:** Lingo Research Group at IIT Gandhinagar
+- **Funded by:** SERB
+- **Language(s) (NLP):** Bilingual (Hindi [hi], English [en])
+- **License:** cc-by-4.0