|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- text-classification |
|
|
language: |
|
|
- en |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
If you find our dataset useful, please consider citing: |
|
|
|
|
|
<pre> |
|
|
<code> |
|
|
@inproceedings{li-etal-2023-synthetic, |
|
|
title = "Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations", |
|
|
author = "Li, Zhuoyan and Zhu, Hangxiao and Lu, Zhuoran and Yin, Ming", |
|
|
editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", |
|
|
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", |
|
|
month = dec, |
|
|
year = "2023", |
|
|
address = "Singapore", |
|
|
publisher = "Association for Computational Linguistics", |
|
|
url = "https://aclanthology.org/2023.emnlp-main.647", |
|
|
doi = "10.18653/v1/2023.emnlp-main.647", |
|
|
pages = "10443--10461", |
|
|
} |
|
|
</code> |
|
|
</pre> |
