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  [![arxiv](https://img.shields.io/badge/arXiv-2210.11689-b31b1b.svg)](http://arxiv.org/abs/2210.11689)
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- 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).
 
 
 
 
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  ## SLING Dataset
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  A complete list of all phenomea and paradigms can be found in [`PhenomenonParadigmList.txt`](PhenomenonParadigmList.txt)
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- ## SLING Code
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- See [`SLING_Code`](SLING_Code) and the readme file in it.
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- ## Setup
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- ```
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- python -m virtualenv sling-venv
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- source sling-venv/bin/activate
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- pip install torch torchvision # currently, this is the version compatible with CUDA 10.1
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- pip install transformers
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- pip install nltk
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- ```
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- ## To run the language models
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- ```
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- python SLING_Code/lm_sling.py
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- python SLING_Code/PanGu_sling.py
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- python SLING_Code/gpt3_sling.py
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- python SLING_Code/byt5_sling.py
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- ```
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- `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).
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  ## Citation Information
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- If you use SLING, please cite it as follows:
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  ```
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  @inproceedings{sling22,
 
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  [![arxiv](https://img.shields.io/badge/arXiv-2210.11689-b31b1b.svg)](http://arxiv.org/abs/2210.11689)
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+ This is the official SLING dataset, accompanying the EMNLP 2022 paper "SLING: Sino-Linguistic Evaluation of Large Language Models" by Yixiao Song♢ Kalpesh Krishna♠ Rajesh Bhatt♢ Mohit Iyyer♠.
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+ You can find the paper on [arxiv](https://arxiv.org/abs/2210.11689).
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+ We use this dataset for evaluation of a small-scale Chinese Language Model for the [BabyLM Challenge](https://babylm.github.io/).
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  ## SLING Dataset
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  A complete list of all phenomea and paradigms can be found in [`PhenomenonParadigmList.txt`](PhenomenonParadigmList.txt)
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  ## Citation Information
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+ If you use SLING, please cite the **original paper** as follows:
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  ```
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  @inproceedings{sling22,