|
--- |
|
license: apache-2.0 |
|
language: |
|
- en |
|
size_categories: |
|
- 100K<n<1M |
|
--- |
|
# Dataset Card for WRENCH |
|
|
|
**Wrench** is a **benchmark platform** containing diverse weak supervision tasks. It also provides a **common and easy framework** for development and evaluation of your own weak supervision models within the benchmark. |
|
|
|
For more information, checkout the [github repo](https://github.com/JieyuZ2/wrench) and our publications: |
|
- [WRENCH: A Comprehensive Benchmark for Weak Supervision](https://arxiv.org/abs/2109.11377) (NeurIPS 2021) |
|
- [A Survey on Programmatic Weak Supervision](https://arxiv.org/pdf/2202.05433.pdf) |
|
|
|
If you find this repository helpful, feel free to cite our publication: |
|
|
|
``` |
|
@inproceedings{ |
|
zhang2021wrench, |
|
title={{WRENCH}: A Comprehensive Benchmark for Weak Supervision}, |
|
author={Jieyu Zhang and Yue Yu and Yinghao Li and Yujing Wang and Yaming Yang and Mao Yang and Alexander Ratner}, |
|
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, |
|
year={2021}, |
|
url={https://openreview.net/forum?id=Q9SKS5k8io} |
|
} |
|
``` |
|
|
