File size: 2,023 Bytes
03996ca 6aa2c6d 03996ca 4742f46 03996ca e98b921 03996ca b88de5a 03996ca e98b921 03996ca e98b921 03996ca 2c28877 04f36c4 2c28877 0215d1e 4742f46 2c28877 03996ca 4742f46 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
language:
- en
- fr
- ja
- pt
- ru
- zh
license: cc-by-4.0
---
## XWinograd
Multilingual winograd schema challenge as used in [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786).
### Languages & Samples
- "en": 2325
- "fr": 83
- "jp": 959
- "pt": 263
- "ru": 315
- "zh": 504
### Dataset creation
The Winograd schema challenges in this dataset combine winograd schemas from the XWinograd dataset introduced in Tikhonov et al and as it only contains 16 Chinese schemas, we add 488 Chinese schemas from `clue/cluewsc2020`.
If you only want the original xwinograd chinese schemas only, do:
`load_dataset("Muennighoff/xwinograd", "zh")["test"][0][:16]`
## Additional Information
### Citation Information
```bibtex
@misc{muennighoff2022crosslingual,
title={Crosslingual Generalization through Multitask Finetuning},
author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru Tang and Dragomir Radev and Alham Fikri Aji and Khalid Almubarak and Samuel Albanie and Zaid Alyafeai and Albert Webson and Edward Raff and Colin Raffel},
year={2022},
eprint={2211.01786},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
```bibtex
@misc{tikhonov2021heads,
title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
author={Alexey Tikhonov and Max Ryabinin},
year={2021},
eprint={2106.12066},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
### License
Like the original [English winograd schema challenge](https://cs.nyu.edu/~davise/papers/WinogradSchemas/WS.html), this dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). I.e. you can use it for commercial purposes etc. :)
### Contributions
Thanks to Jordan Clive, @yongzx & @khalidalt for support on adding Chinese.
|