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