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allenai/winogrande

WinoGrande is a dataset containing 44,000 problems, inspired by the Winograd Schema Challenge, but scaled up and adjusted to improve robustness against dataset‑specific biases. The task is cloze, providing two options; the goal is to select the correct option for the given sentence, requiring common‑sense reasoning.

Updated 1/18/2024
hugging_face

Description

Dataset Overview

Dataset Name: WinoGrande

Dataset Configurations:

  • winogrande_xs
  • winogrande_s
  • winogrande_m
  • winogrande_l
  • winogrande_xl
  • winogrande_debiased

Dataset Features:

  • sentence: string
  • option1: string
  • option2: string
  • answer: string

Dataset Splits:

ConfigurationTrainValidationTest
winogrande_debiased924812671767
winogrande_l1023412671767
winogrande_m255812671767
winogrande_s64012671767
winogrande_xl4039812671767
winogrande_xs16012671767

Dataset Size:

  • Download size: 3,395,492 bytes
  • Dataset size varies by configuration, e.g.:
    • winogrande_xs: 412,552 bytes
    • winogrande_s: 474,156 bytes
    • winogrande_m: 720,849 bytes
    • winogrande_l: 1,711,424 bytes
    • winogrande_xl: 5,577,680 bytes
    • winogrande_debiased: 1,595,268 bytes

Citation:

@InProceedings{ai2:winogrande, title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, author = {Keisuke Sakaguchi and Ronan Le Bras and Chandra Bhagavatula and Yejin Choi}, year = {2019} }

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Topics

Common-sense Reasoning
Text Understanding

Source

Organization: hugging_face

Created: Unknown

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