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license: cc |
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MorisienMT is a dataset for Mauritian Creole Machine Translation. |
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This dataset consists of training, development and test set splits for English--Creole as well as French--Creole translation. |
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The development and test sets consist of 500 and 1000 sentences respectively. Both evaluation sets are trilingual. |
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The training set for English--Creole contains 21,810 lines. |
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The training set for French--Creole contains 15,239 lines. |
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Additionally, one can extract a trilingual English-French-Creole training set of 13,861 lines using Creole as a pivot. |
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Finally, we also provide a Creole monolingual corpus of 45,364 lines. |
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Note that a significant portion of the dataset is a dictionary of word pairs/triplets, nevertheless it is a start. |
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Usage: (TODO: beautify) |
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1. Using huggingface datasets: load_dataset("prajdabre/MorisienMT", "en-cr", split="train") |
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2. Convert to moses format: load the dataset as in step 1, each item is a json object so iterate over the loaded dataset object and use the key and value, "input" and "target" respectively, to get the translation pairs. |
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Feel free to use the dataset for your research but don't forget to attribute our upcoming paper which will be uploaded to arxiv shortly. |
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Note: MorisienMT was originally partly developed by Dr Aneerav Sukhoo from the University of Mauritius in 2014 when he was a visiting researcher in IIT Bombay. |
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Dr Sukhoo and I worked on the MT experiments together, but never publicly released the dataset back then. |
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Furthermore, the dataset splits and experiments were not done in a highly principled manner, which is required in the present day. |
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Therefore, we improve the quality of splits and officially release the data for people to use. |
