

This is the data used in the paper [Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias](https://github.com/yueyu1030/AttrPrompt).
Check the paper: https://arxiv.org/abs/2306.15895 for details.

- `label.txt`: the label name for each class
- `train.jsonl`: The original training set.
- `valid.jsonl`: The original validation set.
- `test.jsonl`: The original test set.
- `simprompt.jsonl`: The training data generated by the simple prompt.
- `attrprompt.jsonl`: The training data generated by the attributed prompt.

Please check our original paper for details. Moreover, we provide the generated dataset using LLM as follows:
- `regen.jsonl`: The training data generated by [ReGen](https://github.com/yueyu1030/ReGen).
- `regen_llm_augmented.jsonl`: The training data generated by ReGen, with the subtopics generated by the LLM.
- `progen.jsonl`: The training data generated by [ProGen](https://github.com/hkunlp/progen).



Please cite the original paper if you use this dataset for your study. Thanks!

```
@inproceedings{blitzer2007biographies,
  title={Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification},
  author={Blitzer, John and Dredze, Mark and Pereira, Fernando},
  booktitle={Proceedings of the 45th annual meeting of the association of computational linguistics},
  pages={440--447},
  year={2007}
}

@article{yu2023large,
  title={Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias},
  author={Yu, Yue and Zhuang, Yuchen and Zhang, Jieyu and Meng, Yu and Ratner, Alexander and Krishna, Ranjay and Shen, Jiaming and Zhang, Chao},
  journal={arXiv preprint arXiv:2306.15895},
  year={2023}
}
```
task_categories:text-classification size_categories:10K<n<100K language:en license:apache-2.0 product review topic_classification arxiv:2306.15895 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "tags": ["product", "review", "topic_classification"]}
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #product #review #topic_classification #arxiv-2306.15895 #region-us 



This is the data used in the paper Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
Check the paper: URL for details.

- 'URL': the label name for each class
- 'URL': The original training set.
- 'URL': The original validation set.
- 'URL': The original test set.
- 'URL': The training data generated by the simple prompt.
- 'URL': The training data generated by the attributed prompt.

Please check our original paper for details. Moreover, we provide the generated dataset using LLM as follows:
- 'URL': The training data generated by ReGen.
- 'regen_llm_augmented.jsonl': The training data generated by ReGen, with the subtopics generated by the LLM.
- 'URL': The training data generated by ProGen.



Please cite the original paper if you use this dataset for your study. Thanks!


TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #license-apache-2.0 #product #review #topic_classification #arxiv-2306.15895 #region-us 
