---
license: cc-by-4.0
task_categories:
- translation
language:
- hi
- en
tags:
- code-mixing
- code-switching
- NLG
size_categories:
- 1K<n<10K
---

## Dataset Details

**HinGE:** (A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text) is a high-quality Hindi-English code-mixed dataset for the NLG tasks, manually annotated by five annotators.

The dataset contains the following columns:

* a. English, Hindi: The parallel source sentences from the IITB English-Hindi parallel corpus.

* b. Human-generated Hinglish: A list of Hinglish sentences generated by the human annotators.

* c. WAC: Hinglish sentence generated by the WAC algorithm (see paper for more details).

* d. WAC rating1, WAC rating2: Quality rating to the Hinglish sentence generated by the WAC algorithm. The quality rating ranges from 1-10.

* e. PAC: Hinglish sentence generated by the PAC algorithm (see paper for more details).

* f. PAC rating1, PAC rating2: Quality rating to the Hinglish sentence generated by the PAC algorithm. The quality rating ranges from 1-10.

### Dataset Description

- **Curated by:** [Lingo Research Group at IIT Gandhinagar](https://lingo.iitgn.ac.in/)
- **Language(s) (NLP):** Bilingual (Hindi [hi], English [en])
- **Licensed by:** cc-by-4.0