WSC

Winograd Schema Challenge

Dataset Information
Modalities
Texts
Languages
English
Introduced
2012
License
Homepage

Overview

The Winograd Schema Challenge was introduced both as an alternative to the Turing Test and as a test of a system’s ability to do commonsense reasoning. A Winograd schema is a pair of sentences differing in one or two words with a highly ambiguous pronoun, resolved differently in the two sentences, that appears to require commonsense knowledge to be resolved correctly. The examples were designed to be easily solvable by humans but difficult for machines, in principle requiring a deep understanding of the content of the text and the situation it describes.

The original Winograd Schema Challenge dataset consisted of 100 Winograd schemas constructed manually by AI experts. As of 2020 there are 285 examples available; however, the last 12 examples were only added recently. To ensure consistency with earlier models, several authors often prefer to report the performance on the first 273 examples only. These datasets are usually referred to as WSC285 and WSC273, respectively.

Source: https://arxiv.org/pdf/2004.13831.pdf
Image Source: https://arxiv.org/pdf/1907.11983.pdf

Variants: Winograd Schema Challenge, WSC, winograd_wsc

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Classification OPT-125M Achieving Dimension-Free Communication in Federated … 2024-05-24
Classification OPT-1.3B Achieving Dimension-Free Communication in Federated … 2024-05-24

Research Papers

Recent papers with results on this dataset: