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		"description": "\nLarge Movie Review Dataset translated to Javanese.\nThis is a dataset for binary sentiment classification containing substantially\nmore data than previous benchmark datasets. We provide a set of 25,000 highly\npolar movie reviews for training, and 25,000 for testing. There is additional\nunlabeled data for use as well. We translated the original IMDB Dataset to\nJavanese using the multi-lingual MarianMT Transformer model from\n`Helsinki-NLP/opus-mt-en-mul`. \n",
		"citation": "@InProceedings{maas-EtAl:2011:ACL-HLT2011,\n  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},\n  title     = {Learning Word Vectors for Sentiment Analysis},\n  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},\n  month     = {June},\n  year      = {2011},\n  address   = {Portland, Oregon, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {142--150},\n  url       = {http://www.aclweb.org/anthology/P11-1015}\n}\n",
		"homepage": "https://github.com/w11wo/nlp-datasets#javanese-imdb",
		"license": "",
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