Omkar2118/datasets huggingface dataset:
XWINO

XWINO is a multilingual collection of Winograd Schemas in six languages that can be used for evaluation of cross-lingual
commonsense reasoning capabilities. 

The datasets that comprise XWINO are:

 * Source: The original [Winograd Schema Challenge](https://cs.nyu.edu/~davise/papers/WinogradSchemas/WSCollection.xml) ([Levesque](http://www.cs.toronto.edu/~hector/Papers/winograd.pdf), 2012);
 * Source: Additional data from the [SuperGLUE](https://super.gluebenchmark.com/tasks/) WSC benchmark ([Wang et al.](https://papers.nips.cc/paper/2019/hash/4496bf24afe7fab6f046bf4923da8de6-Abstract.html), 2019);
 * Source: The [Definite Pronoun Resolution](http://www.hlt.utdallas.edu/~vince/data/emnlp12/) dataset ([Rahman and Ng](https://www.aclweb.org/anthology/D12-1071/), 2012) (accessed from https://github.com/Yre/wsc_naive);
 * Source: A collection of [French Winograd Schemas](http://www.llf.cnrs.fr/fr/winograd-fr) ([Amsili and Seminck](https://www.aclweb.org/anthology/W17-1504/), 2017);
 * Source: [Japanese translation](https://github.com/ku-nlp/Winograd-Schema-Challenge-Ja) of Winograd Schema Challenge ([柴田知秀 et al.](http://www.anlp.jp/proceedings/annual_meeting/2015/pdf_dir/E3-1.pdf), 2015);
 *  Source: [Russian Winograd Schema Challenge](https://russiansuperglue.com/tasks/task_info/RWSD) ([Shavrina et al.](https://www.aclweb.org/anthology/2020.emnlp-main.381/), 2020);
 * Source: A collection of [Winograd Schemas in Chinese](https://cs.nyu.edu/~davise/papers/WinogradSchemas/WSChinese.html);
 * Source: Winograd Schemas [in Portuguese](https://github.com/gabimelo/portuguese_wsc) ([Melo et al.](https://www.teses.usp.br/teses/disponiveis/3/3141/tde-14012021-124730/es.php), 2019).

Introducing paper: It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning