task_categories:text-classification size_categories:10K<n<100K language:en license:apache-2.0 social_media arxiv:2306.15895 arxiv:2104.07081 region:us
---
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- social_media
size_categories:
- 10K<n<100K
---


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

```
@article{geigle:2021:arxiv,
  author    = {Gregor Geigle and 
                Nils Reimers and 
                Andreas R{\"u}ckl{\'e} and
                Iryna Gurevych},
  title     = {TWEAC: Transformer with Extendable QA Agent Classifiers},
  journal   = {arXiv preprint},
  volume    = {abs/2104.07081},
  year      = {2021},
  url       = {http://arxiv.org/abs/2104.07081},
  archivePrefix = {arXiv},
  eprint    = {2104.07081}
}

@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}
}
```