---
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: option1
    dtype: string
  - name: option2
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 357445
    num_examples: 2555
  - name: validation
    num_bytes: 180330
    num_examples: 1266
  - name: test
    num_bytes: 250164
    num_examples: 1766
  download_size: 381461
  dataset_size: 787939
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
# Dataset Card for "malhajar/winogrande-tr-v0.2"

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-v0.2 is a translated version of [`winogrande`]( https://huggingface.co/datasets/winogrande) using GPT4 Technologies aimed specifically to be used in the [`OpenLLMTurkishLeaderboard_v0.2`](https://huggingface.co/spaces/malhajar/OpenLLMTurkishLeaderboard_v0.2) 

**Translated by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-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`](https://huggingface.co/spaces/malhajar/OpenLLMTurkishLeaderboard)

### Languages

Turkish