| {"mariosasko--test_push_to_hub": { | |
| "description": "Large Movie Review Dataset.\nThis is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.", | |
| "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": "http://ai.stanford.edu/~amaas/data/sentiment/", | |
| "license": "", | |
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| "_type": "ClassLabel" | |
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| "train": { | |
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| "num_bytes": 33432835, | |
| "num_examples": 25000, | |
| "dataset_name": "test_push_to_hub" | |
| } | |
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