# 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 SLING dataset, accompanying the EMNLP 2022 paper "SLING: Sino-Linguistic Evaluation of Large Language Models" by Yixiao Song♢ Kalpesh Krishna♠ Rajesh Bhatt♢ Mohit Iyyer♠.

You can find the paper on [arxiv](https://arxiv.org/abs/2210.11689).

We use this dataset for evaluation of a small-scale Chinese Language Model for the [BabyLM Challenge](https://babylm.github.io/).

## 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)

## Citation Information

If you use SLING, please cite the **original paper** 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},
}
```