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spellchecker-dataset

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metadata
dataset_info:
  features:
    - name: correct
      dtype: string
    - name: incorrect1
      dtype: string
    - name: incorrect2
      dtype: string
    - name: incorrect3
      dtype: string
  splits:
    - name: train
      num_bytes: 231841100
      num_examples: 3913362
  download_size: 191282565
  dataset_size: 231841100
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Spellchecker Dataset

This dataset contains correct and incorrect spellings of various words in Turkish. It is intended for use in training and evaluating spellchecking models.

Dataset Structure

The dataset is structured in the following format:

  • correct: The correct spelling of the word.
  • incorrect1: A slightly misspelled version of the word.
  • incorrect2: A moderately misspelled version of the word.
  • incorrect3: A severely misspelled version of the word.

Example

correct incorrect1 incorrect2 incorrect3
bernard bernard bernrd rnard
yemekten yemekten yemektn yemekn

Usage

You can load this dataset using the datasets library from Hugging Face:

from datasets import load_dataset

dataset = load_dataset("pnr-svc/spellchecker-dataset")