---
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}
}
```