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README.md
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- en
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size_categories:
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- 1K<n<10K
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---
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# imdb-unsupervised-mini
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This dataset is a subset of the IMDB unsupervised dataset (stanfordnlp/imdb). Sentiments have been automatically labeled using Meta LLaMA 3.1 (8B) (meta-llama/Llama-3.1-8B-Instruct) via the Together.ai API.
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- en
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size_categories:
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- 1K<n<10K
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: label
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dtype:
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class_label:
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names:
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'0': neg
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'1': pos
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---
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# imdb-unsupervised-mini
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This dataset is a subset of the IMDB unsupervised dataset (stanfordnlp/imdb). Sentiments have been automatically labeled using Meta LLaMA 3.1 (8B) (meta-llama/Llama-3.1-8B-Instruct) via the Together.ai API.
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**Citation:**
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```
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@InProceedings{maas-EtAl:2011:ACL-HLT2011,
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author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
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title = {Learning Word Vectors for Sentiment Analysis},
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booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
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month = {June},
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year = {2011},
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address = {Portland, Oregon, USA},
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publisher = {Association for Computational Linguistics},
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pages = {142--150},
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url = {http://www.aclweb.org/anthology/P11-1015}
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}
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```
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