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README.md

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-license: mit
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+# SLING: Sino-Linguistic Evaluation of Large Language Models
+
+[![arxiv](https://img.shields.io/badge/arXiv-2210.11689-b31b1b.svg)](http://arxiv.org/abs/2210.11689)
+
+This is the official codebase accompanying our EMNLP 2022 paper "SLING: Sino-Linguistic Evaluation of Large Language Models". You can find our paper on [arxiv](https://arxiv.org/abs/2210.11689).
+
+## SLING Dataset
+
+See [`SLING_Data`](SLING_Data) and the readme file in it.
+
+A complete list of all phenomea and paradigms can be found in [`PhenomenonParadigmList.txt`](PhenomenonParadigmList.txt)
+
+## SLING Code
+
+See [`SLING_Code`](SLING_Code) and the readme file in it.
+
+## Setup
+
+```
+python -m virtualenv sling-venv
+source sling-venv/bin/activate
+pip install torch torchvision # currently, this is the version compatible with CUDA 10.1
+pip install transformers
+pip install nltk
+```
+
+## To run the language models
+
+```
+python SLING_Code/lm_sling.py
+python SLING_Code/PanGu_sling.py
+python SLING_Code/gpt3_sling.py
+python SLING_Code/byt5_sling.py
+```
+
+`lstm_sling.py` is included in [`SLING_Code`](SLING_Code) for reference. Details of how to run the CLUECorpusSmall LSTM language model can be found [here](https://github.com/dbiir/UER-py/wiki/Modelzoo).
+
+## Citation Information
+
+If you use SLING, please cite it as follows:
+
+```
+@inproceedings{sling22,
+author={Yixiao Song and Kalpesh Krishna and Rajesh Bhatt and Mohit Iyyer},
+booktitle = {Empirical Methods in Natural Language Processing},
+Year = "2022",
+Title={SLING: Sino Linguistic Evaluation of Large Language Models},
+}
+```