winograd
Datasets
All datasets matching “winograd”winograd_wscA Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is
resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its
resolution. The schema takes its name from a well-known example by Terry Winograd:
> The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.
If the word is ``feared'', then ``they'' presumably refers to the city council; if it is ``advocated'' then ``they''
presumably refers to the demonstrators.winograd_wsc
Dataset Card for The Winograd Schema Challenge
Dataset Summary
A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is
resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its
resolution. The schema takes its name from a well-known example by Terry Winograd:
The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.
If the… See the full description on the dataset page: https://huggingface.co/datasets/lighteval/winograd_wsc.gen_winograd_raw
gen_winograd
Project: https://ufal.mff.cuni.cz/corefud
Data source: https://github.com/mbzuai-nlp/gen-X/tree/bf1c0adb4b4def03cdf419c18b2948695bc1fab8
Details
English Winograd generated by GPT-4
Citation
@misc{whitehouse2023llmpowered,
title={LLM-powered Data Augmentation for Enhanced Crosslingual Performance},
author={Chenxi Whitehouse and Monojit Choudhury and Alham Fikri Aji},
year={2023},
eprint={2305.14288}… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/gen_winograd_raw.winograd_wsc_wsc273_promptsourcewinograd_wsc_parquetwinograd_wsc_wsc285_promptsource