metadata
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 and our publications:
- WRENCH: A Comprehensive Benchmark for Weak Supervision (NeurIPS 2021)
- A Survey on Programmatic Weak Supervision
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}
}