| --- |
| pretty_name: Indic Contextual Post-OCR Correction (Hindi, Gujarati, Marathi) |
| language: |
| - hi |
| - gu |
| - mr |
| multilinguality: multilingual |
| task_categories: |
| - text-generation |
| tags: |
| - ocr |
| - post-ocr-correction |
| - error-correction |
| - text-correction |
| - indic |
| - devanagari |
| - hindi |
| - gujarati |
| - marathi |
| license: cc-by-4.0 |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: hi |
| data_files: |
| - split: train |
| path: train-hi.csv |
| - split: validation |
| path: val-hi.csv |
| - split: test |
| path: test-hi.csv |
| - config_name: mr |
| data_files: |
| - split: train |
| path: train-mr.csv |
| - split: validation |
| path: val-mr.csv |
| - split: test |
| path: test-mr.csv |
| - config_name: gu |
| data_files: |
| - split: train |
| path: train-gu.csv |
| - split: validation |
| path: val-gu.csv |
| - split: test |
| path: test-gu.csv |
| --- |
| # Indic Contextual Post-OCR Correction |
| ## Dataset Summary |
| This dataset supports **contextual post-OCR correction** for Indic languages. Each example is a **sentence-level triple** consisting of: |
| - an **OCR-generated sentence** (noisy), |
| - the **preceding sentence** used as **context**, and |
| - the **corrected sentence** (ground truth). |
|
|
| Hugging Face dataset page: |
| https://huggingface.co/datasets/AbhishekBhandari/Indic-post-ocr-correction |
|
|
| ## Supported Tasks |
| - Post-OCR text correction (sentence-level) |
| - Context-aware text generation for correcting OCR noise |
| - Evaluation with/without preceding-sentence context |
|
|
| ## Languages |
| - Hindi (`hi`) — Devanagari |
| - Gujarati (`gu`) |
| - Marathi (`mr`) — Devanagari |
|
|
| ## Dataset Structure |
|
|
| ### Configs (language-wise subsets) |
| This dataset is organized into three configs: |
| - `hi` (Hindi) |
| - `mr` (Marathi) |
| - `gu` (Gujarati) |
|
|
| Each config contains `train`, `validation`, and `test` splits. |
|
|
| ### Data Instances |
| A typical instance: |
| ```json |
| { |
| "ocr_sentence": "...", |
| "context_sentence": "...", |
| "ground_truth": "..." |
| } |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the following paper: |
|
|
| ```bibtex |
| @article{bhandari2026framework, |
| title={A Framework and Dataset for Contextual Post-OCR Correction}, |
| author={Bhandari, Abhishek and Harit, Gaurav}, |
| journal={ACM Transactions on Asian and Low-Resource Language Information Processing}, |
| volume={25}, |
| number={6}, |
| pages={1--20}, |
| year={2026}, |
| publisher={ACM New York, NY} |
| } |
| ``` |
