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HinGE

HinGE

HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text

About Dataset

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
- 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"
}  

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Tags Tags

  • Code-Mixing
  • NLG

License Control License Control

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

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  • admin·7 month(s) ago
    • text/csv
      HinGE.csv