Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Azerbaijani
Size:
100K - 1M
DOI:
License:
File size: 4,150 Bytes
33c8636 ae89a87 33c8636 a8046f0 33c8636 75c6a27 87c25b9 33c8636 50cda0f 33c8636 502001e 33c8636 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | ---
license: cc-by-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: MISTAKE
dtype: string
- name: CORRECT
dtype: string
- name: ERROR_TYPE
dtype: string
- name: Operation
dtype: string
- name: TagsBIO
dtype: string
- name: LANGUAGE
dtype: string
splits:
- name: train
num_bytes: 81855002
num_examples: 796889
download_size: 13850286
dataset_size: 81855002
task_categories:
- token-classification
language:
- az
tags:
- spell
- spelling
size_categories:
- 100K<n<1M
---
# Azerbaijani Spelling Correction Dataset
This dataset contains synthetically generated spelling errors in Azerbaijani text, paired with their corrections. It's designed to help train and evaluate models for Azerbaijani spelling correction tasks.
Training code: https://github.com/LocalDoc-Azerbaijan/azerbaijani_spell_correction_transformer_model
## Dataset Overview
The dataset includes four main error types:
1. **TRANSLITERATION**: Common substitutions in informal Azerbaijani text (particularly in social media) where Latin characters with diacritics are replaced with their basic Latin equivalents:
- 'ş' → 's'
- 'ç' → 'c'
- 'ğ' → 'g'
- 'ö' → 'o'
- 'ü' → 'u'
- 'ı' → 'i'
- 'ə' → 'e'
Example: "çöldə" → "colde" or "qəşəng" → "qeseng"
2. **KEYBOARD**: Accidental keypress errors where adjacent keys on the keyboard are mistakenly pressed
3. **DELETION**: Errors where characters are missing from the correct word
4. **INSERTION**: Errors where additional characters are inserted into the correct word
Note: While TRANSLITERATION and KEYBOARD are technically similar types of character substitution errors, TRANSLITERATION represents a specific pattern of substitutions common in informal Azerbaijani writing.
## Data Format
Each line in the dataset contains the following fields:
```
MISTAKE,CORRECT,ERROR_TYPE,Operation,TagsBIO
```
Where:
- **MISTAKE**: The word containing the spelling error
- **CORRECT**: The corrected word
- **ERROR_TYPE**: One of the four error types (TRANSLITERATION, KEYBOARD, DELETION, INSERTION)
- **Operation**: Character-level edit operations represented as:
- "C": Correct (unchanged) character
- "S": Substitution (character is replaced)
- "D": Deletion (character is missing)
- "I": Insertion (extra character is present)
- **TagsBIO**: BIO tagging scheme at the character level:
- "O": Outside (character not part of an error)
- "B": Error span
### Example
```
abslu,absolu,DELETION,"C,C,C,D,C","O,O,O,B,O"
```
In this example:
- "abslu" is the misspelled word
- "absolu" is the correct word
- The error type is DELETION
- The operation sequence "C,C,C,D,C" indicates that:
- The first three characters "abs" are correct
- The fourth character "o" is deleted
- The last character "u" is correct
- The BIO tags "O,O,O,B,O" indicate that:
- The first three characters are outside an error span
- The fourth position marks the beginning of an error
- The last character is outside an error span
## Citation
If you use this dataset in your research, please cite:
```
@misc {localdoc_2025,
author = { {LocalDoc} },
title = { spell_mistake_correct_pairs_azerbaijani (Revision 33c8636) },
year = 2025,
url = { https://huggingface.co/datasets/LocalDoc/spell_mistake_correct_pairs_azerbaijani },
doi = { 10.57967/hf/5010 },
publisher = { Hugging Face }
}
```
## License
This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/).
You are free to:
- **Share** — copy and redistribute the material in any medium or format
- **Adapt** — remix, transform, and build upon the material for any purpose, even commercially
Under the following terms:
- **Attribution** — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
## Contact
For more information, questions, or issues, please contact LocalDoc at [v.resad.89@gmail.com].
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