README.md

---
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}
}
```