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--- |
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dataset_info: |
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features: |
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- name: correct |
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dtype: string |
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- name: incorrect1 |
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dtype: string |
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- name: incorrect2 |
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dtype: string |
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- name: incorrect3 |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 231841100 |
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num_examples: 3913362 |
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download_size: 191282565 |
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dataset_size: 231841100 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Spellchecker Dataset |
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This dataset contains correct and incorrect spellings of various words in Turkish. It is intended for use in training and evaluating spellchecking models. |
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## Dataset Structure |
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The dataset is structured in the following format: |
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- `correct`: The correct spelling of the word. |
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- `incorrect1`: A slightly misspelled version of the word. |
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- `incorrect2`: A moderately misspelled version of the word. |
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- `incorrect3`: A severely misspelled version of the word. |
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### Example |
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| correct | incorrect1 | incorrect2 | incorrect3 | |
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|----------|------------|------------|------------| |
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| bernard | bernard | bernrd | rnard | |
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| yemekten | yemekten | yemektn | yemekn | |
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## Usage |
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You can load this dataset using the `datasets` library from Hugging Face: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("pnr-svc/spellchecker-dataset") |
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