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---
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': neg
'1': pos
---
# imdb-unsupervised-mini
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.
**Citation:**
```
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
title = {Learning Word Vectors for Sentiment Analysis},
booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
month = {June},
year = {2011},
address = {Portland, Oregon, USA},
publisher = {Association for Computational Linguistics},
pages = {142--150},
url = {http://www.aclweb.org/anthology/P11-1015}
}
```
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