| --- |
| annotations_creators: |
| - expert-annotators |
| language_creators: |
| - found |
| language: |
| - mr |
| - hi |
| - en |
| license: cc-by-4.0 |
| task_categories: |
| - document-question-answering |
| - table-question-answering |
| - image-to-text |
| tags: |
| - indic-nlp |
| - document-ai |
| - ocr-benchmark |
| - indian-government-documents |
| - document-layout-analysis |
| - visual-text-recognition |
| size_categories: |
| - n<1K |
| --- |
| |
| # IndicGovBench-Doc: Comprehensive Benchmark for Indian Government Documents |
|
|
| **IndicGovBench-Doc** is an evaluation benchmark for document understanding, optical character recognition (OCR), visual layout analysis, and table extraction across Indian government administrative documents (Government Resolutions, Gazettes, Circulars, Certificates). |
|
|
| ## Dataset Summary |
| - **Documents**: 270 full-page official government records. |
| - **Languages**: Marathi (Mr), Hindi (Hi), English (En), and multi-lingual codeswitching. |
| - **Annotations**: High-density bounding box segmentation under RFC-style annotation protocol v0.9. |
| - Multi-column reading order. |
| - Complex nested and irregular table structures. |
| - Explicit scope boundaries: `target`, `excluded`, `uncertain`. |
| - Word-level spatial anchors aligned with Google Cloud Vision. |
|
|
| ## Dataset Structure |
| Each row in the dataset corresponds to a document page: |
| - `doc_id`: Unique identifier (e.g. `order_mr_archive_001`). |
| - `language`: Primary language (`mr`, `hi`, `en`). |
| - `doc_category`: Document category (`archive`, `current`, `gazette`, etc.). |
| - `width`, `height`: Canvas pixel dimensions. |
| - `content_bbox`: Bounding box of all valid content `[min_x, min_y, max_x, max_y]`. |
| - `ground_truth_blocks`: Structured text blocks with category, polygon, text, and reading order. |
| - `ground_truth_tables`: Table data with HTML, markdown, rows, cols, and cell grids. |
| - `metadata`: Outward number, date, department, and scan quality strata. |
|
|
| ## Citation |
| ```bibtex |
| @dataset{indicgovbench2026, |
| author = {Orgpedia Foundation}, |
| title = {IndicGovBench-Doc: Benchmark for Indian Government Document Processing}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| howpublished = {\url{https://huggingface.co/datasets/Orgpedia/indicGovBench-Doc}} |
| } |
| ``` |
|
|
