malhajar/winogrande-tr

Dataset Card for "winogrande"

This Dataset is part of a series of datasets aimed at advancing Turkish LLM Developments by establishing rigid Turkish benchmarks to evaluate the performance of LLM's Produced in the Turkish Language. malhajar/winogrande-tr is a translated version of winogrande aimed specifically to be used in the OpenLLMTurkishLeaderboard

Translated by: Mohamad Alhajar

Dataset Summary

WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires commonsense reasoning.

Supported Tasks and Leaderboards

aimed specifically to be used in the OpenLLMTurkishLeaderboard

Languages

Turkish

Dataset Structure

Data Instances

winogrande_debiased

• Size of downloaded dataset files: 3.40 MB
• Size of the generated dataset: 1.59 MB
• Total amount of disk used: 4.99 MB

An example of 'train' looks as follows.

winogrande_l

• Size of downloaded dataset files: 3.40 MB
• Size of the generated dataset: 1.71 MB
• Total amount of disk used: 5.11 MB

An example of 'validation' looks as follows.

winogrande_m

• Size of downloaded dataset files: 3.40 MB
• Size of the generated dataset: 0.72 MB
• Total amount of disk used: 4.12 MB

An example of 'validation' looks as follows.

winogrande_s

• Size of downloaded dataset files: 3.40 MB
• Size of the generated dataset: 0.47 MB
• Total amount of disk used: 3.87 MB

An example of 'validation' looks as follows.

winogrande_xl

• Size of downloaded dataset files: 3.40 MB
• Size of the generated dataset: 5.58 MB
• Total amount of disk used: 8.98 MB

An example of 'train' looks as follows.

Data Fields

The data fields are the same among all splits.

winogrande_debiased

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_l

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_m

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_s

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_xl

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

Data Splits

name	train	validation	test
winogrande_debiased	9248	1267	1767
winogrande_l	10234	1267	1767
winogrande_m	2558	1267	1767
winogrande_s	640	1267	1767
winogrande_xl	40398	1267	1767
winogrande_xs	160	1267	1767

Citation Information

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

`