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--- |
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license: mit |
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task_categories: |
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- text-classification |
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- text-generation |
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tags: |
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- nlp |
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- text |
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- text classification |
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- text generation |
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- error |
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- error correction |
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- synthetic |
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- generated |
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- ocr |
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- text-correction |
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- code-correction |
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--- |
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[](https://webxos.netlify.app) |
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[](https://github.com/webxos/webxos) |
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[](https://huggingface.co/webxos) |
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[](https://x.com/webxos) |
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<div style=" |
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background: #00FF00; |
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border-left: 4px solid #00FF00; |
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padding: 1.5rem; |
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margin: 2rem 0; |
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font-family: 'Fira Code', 'Courier New', monospace; |
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color: #00FF00; |
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border-radius: 0 8px 8px 0; |
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"> |
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<pre style=" |
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font-size: 12px; |
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line-height: 1.2; |
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margin: 0; |
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overflow-x: auto; |
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color: #00FF00; |
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"> |
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___ ___ ___ ___ ___ |
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/\ \ /\__\ _____ /| | /\ \ /\__\ |
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_\:\ \ /:/ _/_ /::\ \ |:| | /::\ \ /:/ _/_ |
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/\ \:\ \ /:/ /\__\ /:/\:\ \ |:| | /:/\:\ \ /:/ /\ \ |
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_\:\ \:\ \ /:/ /:/ _/_ /:/ /::\__\ __|:|__| /:/ \:\ \ /:/ /::\ \ |
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/\ \:\ \:\__\ /:/_/:/ /\__\ /:/_/:/\:|__| /::::\__\_____ /:/__/ \:\__\ /:/_/:/\:\__\ |
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\:\ \:\/:/ / \:\/:/ /:/ / \:\/:/ /:/ / ~~~~\::::/___/ \:\ \ /:/ / \:\/:/ /:/ / |
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\:\ \::/ / \::/_/:/ / \::/_/:/ / |:|~~| \:\ /:/ / \::/ /:/ / |
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\:\/:/ / \:\/:/ / \:\/:/ / |:| | \:\/:/ / \/_/:/ / |
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\::/ / \::/ / \::/ / |:|__| \::/ / /:/ / |
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\/__/ \/__/ \/__/ |/__/ \/__/ \/__/ |
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</pre> |
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</div> |
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# Synthetic Error Correction |
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*UNDER DEVELOPMENT* |
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Small synthetic dataset (28 examples: 22 train, 6 test) of error-correction pairs for training text correction models (e.g., OCR post-processing, typos). |
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## Dataset Summary |
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This dataset was generated locally using the TYPE/RIGHTER offline-first PWA. It contains synthetic error-correction pairs for training text correction models. |
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*Generated by TYPE/RIGHTER • Offline-First PWA, downloadable in the /typerighter/ folder of the repo* |
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## Supported Tasks and Leaderboards |
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- Text error correction |
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- OCR post-processing |
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- Typographical error correction |
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## Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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Each instance contains: |
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- `original`: The text as it appeared in the uploaded file |
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- `corrupted`: The procedurally "damaged" version for error detection training |
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- `target`: The cleaned, normalized version for error correction training |
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- `tags`: Content-based classification tags |
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- `source`: Original file name |
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### Data Fields |
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- `original`: string - Original text |
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- `corrupted`: string - Text with injected errors |
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- `target`: string - Cleaned target text |
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- `tags`: Sequence[string] - Content classification tags |
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- `source`: string - Source file name |
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### Data Splits |
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- Train: 22 examples |
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- Test: 6 examples |
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## Dataset Creation |
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### Curation Rationale |
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This dataset was created to provide synthetic data for training error correction models from user-provided documents. |
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### Source Data |
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The data was generated from user-uploaded documents in .txt, .csv, .md, or .jsonl formats. |
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### Annotations |
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Annotations were automatically generated through: |
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1. Text normalization (simulated cleaning) |
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2. Controlled error injection based on configurable parameters |
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3. Content-based classification |
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### Personal and Sensitive Information |
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All processing occurs locally in the browser. No data was uploaded to any server. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset enables the creation of error correction models for various text domains. |
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### Discussion of Biases |
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The error patterns are synthetic and may not perfectly represent real-world error distributions. |
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### Other Known Limitations |
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- Synthetic errors may not capture all real-world error patterns |
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- Limited to text-based errors (no formatting or layout errors) |
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## Additional Information |
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### Dataset Curators |
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Generated by TYPE/RIGHTER PWA by webXOS |
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### Licensing Information |
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MIT |
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### Citation Information |
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``` |
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@misc{typerighter2026, |
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title={TYPE/RIGHTER Synthetic Error Correction Dataset}, |
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author={TYPE/RIGHTER PWA}, |
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year={2026}, |
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url={https://github.com/typerighter} |
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} |
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``` |
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### Contributions |
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Thanks to the user who generated this dataset using TYPE/RIGHTER. |
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## Error Distribution |
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- Keyboard Adjacent Errors: 20% |
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- Case Corruption: 15% |
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- Symbol Insertion: 10% |
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- OCR Line Noise: 10% |
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## Generated on |
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2026-01-07T01:04:58.601Z |
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--- |
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*Generated by TYPE/RIGHTER • Offline-First PWA • Privacy by Design • webXOS 2026* |
