| --- |
| license: cc-by-4.0 |
| task_categories: |
| - translation |
| language: |
| - hi |
| - en |
| tags: |
| - code-mixing |
| - code-switching |
| - NLG |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| <h1 style="text-align: center;">Abstract</h1> |
| <p> Text generation is a highly active area of research in the computational linguistic community. The evaluation of the generated text is a challenging task and multiple theories and metrics have been proposed over the years. Unfortunately, text generation and evaluation are relatively understudied due to the scarcity of high-quality resources in code-mixed languages where the words and phrases from multiple languages are mixed in a single utterance of text and speech. To address this challenge, we present a corpus (HinGE) for a widely popular code-mixed language Hinglish (code-mixing of Hindi and English languages). HinGE has Hinglish sentences generated by humans as well as two rule-based algorithms corresponding to the parallel Hindi-English sentences. In addition, we demonstrate the in- efficacy of widely-used evaluation metrics on the code-mixed data. The HinGE dataset will facilitate the progress of natural language generation research in code-mixed languages.</p><br> |
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| ## Dataset Details |
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| **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. |
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| The dataset contains the following columns: |
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| * **A. English, Hindi:** The parallel source sentences from the IITB English-Hindi parallel corpus. |
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| * **B. Human-generated Hinglish:** A list of Hinglish sentences generated by the human annotators. |
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| * **C. WAC:** Hinglish sentence generated by the WAC algorithm (see paper for more details). |
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| * **D. WAC rating1, WAC rating2:** Quality rating to the Hinglish sentence generated by the WAC algorithm. The quality rating ranges from 1-10. |
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| * **E. PAC:** Hinglish sentence generated by the PAC algorithm (see paper for more details). |
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| * **F. PAC rating1, PAC rating2:** Quality rating to the Hinglish sentence generated by the PAC algorithm. The quality rating ranges from 1-10. |
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| ### Dataset Description |
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| - **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 |
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| ## Citation |
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| If you use this dataset, please cite the following work: |
| ``` |
| @inproceedings{srivastava-singh-2021-hinge, |
| title = "{H}in{GE}: A Dataset for Generation and Evaluation of Code-Mixed {H}inglish Text", |
| author = "Srivastava, Vivek and |
| Singh, Mayank", |
| booktitle = "Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems", |
| month = nov, |
| year = "2021", |
| address = "Punta Cana, Dominican Republic", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2021.eval4nlp-1.20/", |
| doi = "10.18653/v1/2021.eval4nlp-1.20" |
| } |
| ``` |
