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@@ -5,8 +5,34 @@ language:
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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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+
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+ **Citation:**
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+
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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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+ ```