MultiIndicQuestionGenerationUnified is a multilingual, sequence-to-sequence pre-trained model fine-tuned on the IndicQuestionGeneration dataset for question generation across 11 Indian languages.
MultiIndicQuestionGenerationUnified is a sequence-to-sequence pre-trained model based on IndicBART, fine-tuned on the IndicQuestionGeneration dataset, supporting 11 Indian languages: Hindi, Marathi, Punjabi, Tamil, Telugu, Bengali, Gujarati etc.. Smaller than mBART and mT5, it is computationally efficient for fine-tuning and decoding. Trained on 770K examples, all languages are represented in Devanagari script, facilitating transfer learning among related languages and enhancing performance for question generation tasks in Indian languages.
MIT
Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar
Text Generation
N.A.
Open
Sector Agnostic
21/02/25 13:20:51
0
MIT
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