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---
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:
```python
from datasets import load_dataset
dataset = load_dataset("pnr-svc/spellchecker-dataset")
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