Duplicate from LingoIITGN/HinGE

Co-authored-by: Rajvee Sheth <RajveeSheth@users.noreply.huggingface.co>

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README.md

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+---
+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>
+
+
+## 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
+
+## Citation
+
+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"
+}  
+```