Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
Javanese
Size:
100K - 1M
License:
{ | |
"default": { | |
"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": "", | |
"features": { | |
"text": { "dtype": "string", "id": null, "_type": "Value" }, | |
"label": { | |
"num_classes": 3, | |
"names": ["0", "1", "-1"], | |
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"id": null, | |
"_type": "ClassLabel" | |
} | |
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"builder_name": "javanese_imdb_reviews", | |
"config_name": "default", | |
"version": { | |
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"description": null, | |
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"train": { | |
"name": "train", | |
"num_bytes": 12587778, | |
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"dataset_name": "javanese_imdb_reviews" | |
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"name": "test", | |
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"num_examples": 25000, | |
"dataset_name": "javanese_imdb_reviews" | |
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"name": "unsupervised", | |
"num_bytes": 25239260, | |
"num_examples": 50000, | |
"dataset_name": "javanese_imdb_reviews" | |
} | |
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