HellaSwag: Can a Machine Really Finish Your Sentence?
This repo contains code and data for HellaSwag. If you like this paper, please cite us:
@inproceedings{zellers2019hellaswag,
title={HellaSwag: Can a Machine Really Finish Your Sentence?},
author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
year={2019}
}
- The HellaSwag dataset, in
data/ - Code for Adversarial Filtering, in
adversarial_filtering/ - Models for HellaSwag, in
hellaswag_models/
I used tensorflow and TPUs for this project. My recommendation is to use ctpu to start up a VM with access to a v3-8 TPU. Then, use the following command to install dependencies:
curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p ~/conda && \
rm ~/miniconda.sh && \
~/conda/bin/conda install -y python=3.6 tqdm numpy pyyaml scipy ipython mkl mkl-include cython typing h5py pandas && ~/conda/bin/conda clean -ya
echo 'export PATH=~/conda/bin:$PATH' >>~/.bashrc
source ~/.bashrc
pip install "tensorflow==1.12.0"
pip install --upgrade google-api-python-client oauth2client