Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
social_media
License:
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} | |
} | |
``` |