Datasets:

webxos
/

synthetic_error_correction

---
license: mit
task_categories:
- text-classification
- text-generation
tags:
- nlp
- text
- text classification
- text generation
- error
- error correction
- synthetic
- generated
- ocr
- text-correction
- code-correction
---

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<div style="
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    font-family: 'Fira Code', 'Courier New', monospace;
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    border-radius: 0 8px 8px 0;
">
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      ___           ___                         ___            ___           ___     
     /\  \         /\__\         _____         /|  |          /\  \         /\__\    
    _\:\  \       /:/ _/_       /::\  \       |:|  |         /::\  \       /:/ _/_   
   /\ \:\  \     /:/ /\__\     /:/\:\  \      |:|  |        /:/\:\  \     /:/ /\  \  
  _\:\ \:\  \   /:/ /:/ _/_   /:/ /::\__\   __|:|__|       /:/  \:\  \   /:/ /::\  \ 
 /\ \:\ \:\__\ /:/_/:/ /\__\ /:/_/:/\:|__| /::::\__\_____ /:/__/ \:\__\ /:/_/:/\:\__\
 \:\ \:\/:/  / \:\/:/ /:/  / \:\/:/ /:/  / ~~~~\::::/___/ \:\  \ /:/  / \:\/:/ /:/  /
  \:\ \::/  /   \::/_/:/  /   \::/_/:/  /      |:|~~|      \:\  /:/  /   \::/ /:/  / 
   \:\/:/  /     \:\/:/  /     \:\/:/  /       |:|  |       \:\/:/  /     \/_/:/  /  
    \::/  /       \::/  /       \::/  /        |:|__|        \::/  /        /:/  /   
     \/__/         \/__/         \/__/         |/__/          \/__/         \/__/    
    </pre>
</div>

# Synthetic Error Correction

*UNDER DEVELOPMENT*

Small synthetic dataset (28 examples: 22 train, 6 test) of error-correction pairs for training text correction models (e.g., OCR post-processing, typos).

## Dataset Summary

This dataset was generated locally using the TYPE/RIGHTER offline-first PWA. It contains synthetic error-correction pairs for training text correction models.

*Generated by TYPE/RIGHTER • Offline-First PWA, downloadable in the /typerighter/ folder of the repo*

## Supported Tasks and Leaderboards
- Text error correction
- OCR post-processing
- Typographical error correction

## Languages
English

## Dataset Structure

### Data Instances
Each instance contains:
- `original`: The text as it appeared in the uploaded file
- `corrupted`: The procedurally "damaged" version for error detection training
- `target`: The cleaned, normalized version for error correction training
- `tags`: Content-based classification tags
- `source`: Original file name

### Data Fields
- `original`: string - Original text
- `corrupted`: string - Text with injected errors
- `target`: string - Cleaned target text
- `tags`: Sequence[string] - Content classification tags
- `source`: string - Source file name

### Data Splits
- Train: 22 examples
- Test: 6 examples

## Dataset Creation

### Curation Rationale
This dataset was created to provide synthetic data for training error correction models from user-provided documents.

### Source Data
The data was generated from user-uploaded documents in .txt, .csv, .md, or .jsonl formats.

### Annotations
Annotations were automatically generated through:
1. Text normalization (simulated cleaning)
2. Controlled error injection based on configurable parameters
3. Content-based classification

### Personal and Sensitive Information
All processing occurs locally in the browser. No data was uploaded to any server.

## Considerations for Using the Data

### Social Impact of Dataset
This dataset enables the creation of error correction models for various text domains.

### Discussion of Biases
The error patterns are synthetic and may not perfectly represent real-world error distributions.

### Other Known Limitations
- Synthetic errors may not capture all real-world error patterns
- Limited to text-based errors (no formatting or layout errors)

## Additional Information

### Dataset Curators
Generated by TYPE/RIGHTER PWA by webXOS 

### Licensing Information
MIT

### Citation Information
```
@misc{typerighter2026,
  title={TYPE/RIGHTER Synthetic Error Correction Dataset},
  author={TYPE/RIGHTER PWA},
  year={2026},
  url={https://github.com/typerighter}
}
```

### Contributions
Thanks to the user who generated this dataset using TYPE/RIGHTER.

## Error Distribution
- Keyboard Adjacent Errors: 20%
- Case Corruption: 15%
- Symbol Insertion: 10%
- OCR Line Noise: 10%

## Generated on
2026-01-07T01:04:58.601Z

---
*Generated by TYPE/RIGHTER • Offline-First PWA • Privacy by Design • webXOS 2026*